diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_0.log b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_0.log new file mode 100644 index 0000000000000000000000000000000000000000..e047a687799d56beb2e453ebcd51586171321a8a --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/logs/shard_0.log @@ -0,0 +1,42 @@ +dir_a videos: 300 +dir_b videos: 300 +paired videos selected for this shard: 38 +already completed: 0 +remaining pairs: 38 +reward_model_path: /root/ckpts/UnifiedReward-Flex-qwen35-9b +Detected reward checkpoint: model_type=qwen3_5, architectures=['Qwen3_5ForConditionalGeneration'] +Candidate model classes: Qwen3_5ForConditionalGeneration, AutoModelForImageTextToText +[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d + Loading weights: 0%| | 0/760 [00:00 turn -> walk) and attribute details (sheen, lighting) much more closely than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Photorealism\", \"reason_1\": \"The video has a distinct 'AI-generated' look with lower resolution, blurry textures, and a lack of fine detail.\", \"reason_2\": \"The video is sharp, high-resolution, and indistinguishable from real footage, with excellent texture rendering on the floor and curtains.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The subject's face is heavily distorted and lacks defined features, breaking immersion.\", \"reason_2\": \"The subject maintains consistent, realistic human anatomy throughout the turn and walk.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The walking motion feels slightly floaty, with the feet not interacting convincingly with the floor.\", \"reason_2\": \"The movement is grounded and weighty; the turn and steps follow realistic physics.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates professional-grade photorealism and stability, whereas Video 1 suffers from low resolution and facial distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is awkward, often cutting off the subject's head or feet, and the camera movement feels random.\", \"reason_2\": \"The framing is cinematic, keeping the subject well-positioned and capturing the 'entire form' as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmosphere & Mood\", \"reason_1\": \"The mood is sterile and lacks the 'warm glow' and 'serene' quality requested.\", \"reason_2\": \"The lighting and color grading successfully evoke a warm, serene, and high-end atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is jittery and lacks a clear focal point.\", \"reason_2\": \"The camera executes a smooth tracking shot that complements the subject's movement.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 employs cinematic framing and lighting to create a mood that matches the prompt, while Video 1 has poor composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is superior in every category. It accurately executes the specific sequence of actions described in the prompt (standing, turning, then walking), whereas Video 1 ignores the 'stand and turn' instruction entirely. Furthermore, Video 2 achieves high-end photorealism with excellent lighting and texture, while Video 1 suffers from significant facial distortion, lower resolution, and awkward framing.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Turn & Walk)", "reason_1": "Video 1 depicts a man walking forward continuously, completely missing the prompt's instruction to 'stand confidently' and then 'turn to his left'.", "reason_2": "Video 2 accurately depicts the subject standing, turning to his left, and then walking, matching the prompt's narrative sequence perfectly.", "score_1": 1, "score_2": 9}, {"name": "Subject Attributes (Suit & Sheen)", "reason_1": "The suit in Video 1 appears dark green or teal rather than black, and the lighting is flat, failing to highlight the 'subtle sheen' requested.", "reason_2": "Video 2 renders a suit that appears black or very dark navy with realistic fabric texture and sheen, aligning better with the 'sleek' description.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Room & Lighting)", "reason_1": "Video 1 features a room with curtains, but the lighting is somewhat harsh and the background lacks the depth described.", "reason_2": "Video 2 captures the 'minimalist, modern room' with 'soft lighting' and 'warm glow' much more effectively, creating the requested serene atmosphere.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the specific action sequence (stand -> turn -> walk) and attribute details (sheen, lighting) much more closely than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Photorealism", "reason_1": "The video has a distinct 'AI-generated' look with lower resolution, blurry textures, and a lack of fine detail.", "reason_2": "The video is sharp, high-resolution, and indistinguishable from real footage, with excellent texture rendering on the floor and curtains.", "score_1": 2, "score_2": 8}, {"name": "Subject Anatomical Logic", "reason_1": "The subject's face is heavily distorted and lacks defined features, breaking immersion.", "reason_2": "The subject maintains consistent, realistic human anatomy throughout the turn and walk.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Grounding", "reason_1": "The walking motion feels slightly floaty, with the feet not interacting convincingly with the floor.", "reason_2": "The movement is grounded and weighty; the turn and steps follow realistic physics.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates professional-grade photorealism and stability, whereas Video 1 suffers from low resolution and facial distortion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is awkward, often cutting off the subject's head or feet, and the camera movement feels random.", "reason_2": "The framing is cinematic, keeping the subject well-positioned and capturing the 'entire form' as requested.", "score_1": 2, "score_2": 8}, {"name": "Atmosphere & Mood", "reason_1": "The mood is sterile and lacks the 'warm glow' and 'serene' quality requested.", "reason_2": "The lighting and color grading successfully evoke a warm, serene, and high-end atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is jittery and lacks a clear focal point.", "reason_2": "The camera executes a smooth tracking shot that complements the subject's movement.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 employs cinematic framing and lighting to create a mood that matches the prompt, while Video 1 has poor composition.", "cat_winner": "Video 2"}], "reason": "Video 2 is superior in every category. It accurately executes the specific sequence of actions described in the prompt (standing, turning, then walking), whereas Video 1 ignores the 'stand and turn' instruction entirely. Furthermore, Video 2 achieves high-end photorealism with excellent lighting and texture, while Video 1 suffers from significant facial distortion, lower resolution, and awkward framing.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 67.0, "elapsed_sec": 56.771} +{"pair_id": "015_seed_310", "sample_index": 15, "seed": 310, "prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_310_A man in a sleek black suit and polished shoes sta.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_310_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_310_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_310_A man in a sleek black suit and polished shoes sta.mp4", "swapped": true, "success": true, "model_output": "Both videos fail the critical framing constraint of capturing the subject's \"entire form,\" as both are cropped to the waist/thighs. However, Video 2 is the clear winner because it correctly generates the specific environmental context (window with sheer curtains) and the requested action (turning and walking away), whereas Video 1 depicts a static subject in a generic setting.\n\n```json\n{\n \"category\": \"A. Semantic Alignment & Accuracy\",\n \"dims\": [{\"name\": \"Environmental Fidelity (Window & Curtains)\", \"reason_1\": \"Video 1 features a generic wooden wall background, completely missing the 'large window with sheer curtains' specified in the prompt.\", \"reason_2\": \"Video 2 accurately renders a large window with sheer curtains on the left, matching the prompt's description of the setting perfectly.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Sequence Adherence (Turn & Walk)\", \"reason_1\": \"The subject in Video 1 remains largely static, shifting weight but failing to perform the requested 'turn to his left' or 'walk with purpose'.\", \"reason_2\": \"Video 2 depicts the subject turning and walking away from the camera, aligning well with the prompt's instruction to 'walk with purpose'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Framing Completeness\", \"reason_1\": \"Video 1 fails the 'entire form' requirement, cropping the subject at the waist.\", \"reason_2\": \"Video 2 also fails the 'entire form' requirement, cropping the subject at the waist.\", \"score_1\": 5, \"score_2\": 5}],\n{\"category\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Cloth Physics & Texture Rendering\", \"reason_1\": \"The suit fabric in Video 1 appears somewhat stiff and lacks the 'fluid' movement requested.\", \"reason_2\": \"Video 2 renders the suit with a realistic sheen and captures the fluid movement of the fabric as the subject walks.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Lighting Interaction & Sheen\", \"reason_1\": \"The lighting in Video 1 is flat and does not effectively highlight the 'polished' nature of the shoes or the 'sheen' of the suit.\", \"reason_2\": \"Video 2 utilizes the window light to create realistic highlights on the suit and floor, fulfilling the prompt's request for a 'sheen' and 'warm glow'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion in Video 1 is minimal and feels slightly robotic in its weight shifting.\", \"reason_2\": \"The walking motion in Video 2 is fluid and natural, with appropriate weight transfer.\", \"score_1\": 4, \"score_2\": 6}],\n{\"category\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Warm Glow)\", \"reason_1\": \"Video 1 has neutral, somewhat cold lighting that fails to evoke the 'warm glow' or 'serene space' described.\", \"reason_2\": \"Video 2 successfully establishes a warm, serene atmosphere through the use of natural light filtering through the sheer curtains.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Compositional Balance\", \"reason_1\": \"The composition in Video 1 is a standard center-framed shot with a plain background, lacking visual interest.\", \"reason_2\": \"Video 2 uses the window to balance the frame, creating a more aesthetically pleasing and cinematic composition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 lacks narrative progression; it is essentially a moving portrait.\", \"reason_2\": \"Video 2 implies a narrative of departure or purposeful movement, aligning with the prompt's storytelling elements.\", \"score_1\": 2, \"score_2\": 8}],\n{\"category\": \"D. Dynamic Attribute Rendering\", \"dims\": [{\"name\": \"Fabric Fluidity & Movement\", \"reason_1\": \"The fabric in Video 1 shows very little dynamic movement, appearing rigid.\", \"reason_2\": \"Video 2 captures the 'fluidly' moving fabric of the suit as the subject turns and walks, adding to the realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Source Logic\", \"reason_1\": \"The lighting source in Video 1 is ambiguous and does not interact logically with the subject's movement.\", \"reason_2\": \"Video 2 correctly positions the light source (the window) to the side, creating logical shadows and highlights on the moving subject.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Poise & Confidence\", \"reason_1\": \"The subject in Video 1 looks passive rather than 'confident' or 'poised'.\", \"reason_2\": \"The stride and posture in Video 2 effectively convey the 'confident' and 'purposeful' demeanor requested.\", \"score_1\": 4, \"score_2\": 6}],\n{\"category\": \"E. Spatial & Environmental Coherence\", \"dims\": [{\"name\": \"Background Detail Accuracy\", \"reason_1\": \"Video 1 provides a generic wooden backdrop that does not match the specific 'modern room' description involving a window.\", \"reason_2\": \"Video 2 provides a coherent background that matches the prompt's description of a room with a window and sheer curtains.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Floor Reflection & Polish\", \"reason_1\": \"The floor in Video 1 is visible but lacks the distinct 'polished' quality and reflections implied by the prompt.\", \"reason_2\": \"Video 2 shows reflections on the floor consistent with the window light, enhancing the 'polished wooden floor' aesthetic.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Spatial Depth\", \"reason_1\": \"Video 1 feels flat due to the lack of background depth cues.\", \"reason_2\": \"Video 2 creates a sense of depth with the window in the background and the subject moving into the space.\", \"score_1\": 3, \"score_2\": 7}],\n{\"category\": \"F. Camera & Motion Intent\", \"dims\": [{\"name\": \"Camera Tracking\", \"reason_1\": \"The camera in Video 1 is static, which limits the dynamic feel of the shot.\", \"reason_2\": \"Video 2 features a subtle camera movement that follows the subject's turn, enhancing the cinematic quality.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Intent Clarity\", \"reason_1\": \"The intent of the motion in Video 1 is unclear; it looks like an idle animation.\", \"reason_2\": \"The motion in Video 2 is clear and intentional, matching the 'walk with purpose' instruction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Consistency\", \"reason_1\": \"Video 1 maintains good visual consistency throughout the short clip.\", \"reason_2\": \"Video 2 also maintains good visual consistency despite the more complex motion.\", \"score_1\": 5, \"score_2\": 5}],\n{\"category\": \"G. Overall Prompt Adherence\", \"dims\": [{\"name\": \"Key Element Presence (Window)\", \"reason_1\": \"Video 1 completely misses the key environmental element (the window).\", \"reason_2\": \"Video 2 includes the window, which is central to the prompt's lighting and atmosphere description.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Fidelity (Walking)\", \"reason_1\": \"Video 1 fails to depict the subject walking across the room.\", \"reason_2\": \"Video 2 successfully depicts the subject walking, fulfilling the core action requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Accuracy\", \"reason_1\": \"Video 1 lacks the specific 'warm glow' and 'serene' atmosphere.\", \"reason_2\": \"Video 2 captures the 'warm glow' and 'serene' mood effectively through lighting and setting.\", \"score_1\": 3, \"score_2\": 7}],\n{\"category\": \"H. Final Verdict\", \"dims\": [{\"name\": \"Overall Prompt Satisfaction\", \"reason_1\": \"Video 1 fails to meet the majority of the prompt's descriptive requirements regarding setting and action.\", \"reason_2\": \"Video 2 meets the majority of the prompt's requirements, including setting, lighting, and action, despite the framing crop.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Appeal\", \"reason_1\": \"Video 1 is visually generic and lacks artistic merit.\", \"reason_2\": \"Video 2 is visually pleasing with good lighting and composition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Dynamic Realism\", \"reason_1\": \"Video 1 feels like a static 3D model with minimal animation.\", \"reason_2\": \"Video 2 feels like a realistic video clip of a person moving in a real space.\", \"score_1\": 4, \"score_2\": 6}],\n{\"category\": \"I. Conclusion\", \"reason_1\": \"Video 1 is a static shot that misses the environmental and action cues entirely.\", \"reason_2\": \"Video 2 captures the environment, lighting, and action described in the prompt, making it the superior generation despite the shared framing error.\", \"score_1\": 1, \"score_2\": 9}\n```", "parsed_output": null, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": null, "total_score_2": null, "elapsed_sec": 104.89} +{"pair_id": "015_seed_930", "sample_index": 15, "seed": 930, "prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Turn & Walk)\", \"reason_1\": \"Video 1 depicts the subject walking but completely misses the 'turns to his left' instruction; the subject is already in motion or turning away from the camera immediately.\", \"reason_2\": \"Video 2 clearly depicts the subject standing, turning to his left, and then walking, perfectly matching the chronological sequence of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Framing Constraint (Entire Form)\", \"reason_1\": \"Video 1 fails the 'captures his entire form' constraint by cropping the subject's head out of the frame for the majority of the clip.\", \"reason_2\": \"Video 2 maintains a wide shot that keeps the subject's entire body, including head and feet, visible within the frame throughout the action.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Sheer Curtains)\", \"reason_1\": \"Video 1 features heavy, opaque vertical blinds rather than the requested 'sheer curtains'.\", \"reason_2\": \"Video 2 correctly renders 'sheer curtains' that allow light to filter through, matching the specific environmental description.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the prompt's specific instructions regarding the subject's actions and the environment, whereas Video 1 failed to depict the initial turn and the specific window treatment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture detail on the suit and environment.\", \"reason_2\": \"The video is sharp, with clear textures visible on the suit fabric and the wooden floor.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Naturalness (Gait)\", \"reason_1\": \"The walking motion is somewhat stiff and the camera movement feels slightly artificial.\", \"reason_2\": \"The subject's gait is natural and grounded, with realistic weight transfer during the walk.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Lighting Interaction (Sheen & Glow)\", \"reason_1\": \"Lighting is flat and dull; the 'subtle sheen' of the suit is barely visible.\", \"reason_2\": \"The lighting is dynamic, creating realistic highlights on the suit and a warm glow on the floor as requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a much higher resolution image with realistic lighting interactions, whereas Video 1 suffers from blurriness and lower fidelity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Subject Placement\", \"reason_1\": \"The composition is poor, cutting off the subject's head and leaving too much empty space on the right.\", \"reason_2\": \"The subject is well-centered, and the framing allows the viewer to appreciate the full movement and the environment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Serene/Modern)\", \"reason_1\": \"The atmosphere feels somewhat sterile and lacks the 'warm glow' described.\", \"reason_2\": \"The video successfully establishes a serene, modern atmosphere with warm, natural lighting.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Stability & Intent\", \"reason_1\": \"The camera movement feels slightly shaky and unmotivated.\", \"reason_2\": \"The camera is stable and tracks the subject smoothly, enhancing the professional look of the clip.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 presents a professional, cinematic composition that captures the mood of the prompt, while Video 1 has poor framing and a dull aesthetic.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the specific action sequence (turning then walking) and environmental details (sheer curtains) requested in the prompt. Video 1 fails to show the initial turn, crops the subject's head significantly, and lacks the visual fidelity and lighting quality present in Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Turn & Walk)", "reason_1": "Video 1 depicts the subject walking but completely misses the 'turns to his left' instruction; the subject is already in motion or turning away from the camera immediately.", "reason_2": "Video 2 clearly depicts the subject standing, turning to his left, and then walking, perfectly matching the chronological sequence of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Framing Constraint (Entire Form)", "reason_1": "Video 1 fails the 'captures his entire form' constraint by cropping the subject's head out of the frame for the majority of the clip.", "reason_2": "Video 2 maintains a wide shot that keeps the subject's entire body, including head and feet, visible within the frame throughout the action.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Sheer Curtains)", "reason_1": "Video 1 features heavy, opaque vertical blinds rather than the requested 'sheer curtains'.", "reason_2": "Video 2 correctly renders 'sheer curtains' that allow light to filter through, matching the specific environmental description.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the prompt's specific instructions regarding the subject's actions and the environment, whereas Video 1 failed to depict the initial turn and the specific window treatment.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, low-resolution, and lacks texture detail on the suit and environment.", "reason_2": "The video is sharp, with clear textures visible on the suit fabric and the wooden floor.", "score_1": 2, "score_2": 8}, {"name": "Motion Naturalness (Gait)", "reason_1": "The walking motion is somewhat stiff and the camera movement feels slightly artificial.", "reason_2": "The subject's gait is natural and grounded, with realistic weight transfer during the walk.", "score_1": 4, "score_2": 6}, {"name": "Lighting Interaction (Sheen & Glow)", "reason_1": "Lighting is flat and dull; the 'subtle sheen' of the suit is barely visible.", "reason_2": "The lighting is dynamic, creating realistic highlights on the suit and a warm glow on the floor as requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a much higher resolution image with realistic lighting interactions, whereas Video 1 suffers from blurriness and lower fidelity.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Subject Placement", "reason_1": "The composition is poor, cutting off the subject's head and leaving too much empty space on the right.", "reason_2": "The subject is well-centered, and the framing allows the viewer to appreciate the full movement and the environment.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Serene/Modern)", "reason_1": "The atmosphere feels somewhat sterile and lacks the 'warm glow' described.", "reason_2": "The video successfully establishes a serene, modern atmosphere with warm, natural lighting.", "score_1": 3, "score_2": 7}, {"name": "Camera Stability & Intent", "reason_1": "The camera movement feels slightly shaky and unmotivated.", "reason_2": "The camera is stable and tracks the subject smoothly, enhancing the professional look of the clip.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 presents a professional, cinematic composition that captures the mood of the prompt, while Video 1 has poor framing and a dull aesthetic.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the specific action sequence (turning then walking) and environmental details (sheer curtains) requested in the prompt. Video 1 fails to show the initial turn, crops the subject's head significantly, and lacks the visual fidelity and lighting quality present in Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 55.517} +{"pair_id": "016_seed_42", "sample_index": 16, "seed": 42, "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Springing Upward)\", \"reason_1\": \"Video 1 depicts a clear, powerful vertical jump where the subject springs upward as requested.\", \"reason_2\": \"Video 2 shows the subject flailing and twisting in a glitchy manner that does not resemble a controlled athletic jump.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Sleek Black Tracksuit)\", \"reason_1\": \"The subject is clearly wearing a black tracksuit with visible stripes, matching the 'sleek' description.\", \"reason_2\": \"The subject wears a generic black outfit that lacks the distinct 'tracksuit' aesthetic and appears ill-fitting due to generation errors.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Sunlit Field & Sky)\", \"reason_1\": \"The video features a wide, open grassy field with a clear blue sky, perfectly matching the setting description.\", \"reason_2\": \"The background is a steep, blurry grassy slope with trees, which deviates from the open field implied by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific action of 'springing upward' and the 'sleek black tracksuit' in the correct environment. Video 2 fails to render a coherent jump and the subject's attire is less distinct.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subject maintains a consistent human form throughout the jump.\", \"reason_2\": \"The subject's face and limbs severely distort and melt during the motion, breaking all realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physics & Motion Plausibility\", \"reason_1\": \"The jump follows a logical trajectory with appropriate gravity and momentum.\", \"reason_2\": \"The movement is jerky and unnatural, lacking weight or logical physical interaction with the ground.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image remains sharp and defined, even during the fast motion.\", \"reason_2\": \"The video is plagued by excessive blur and low-resolution artifacts that obscure the subject.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and realism. Video 2 collapses completely in terms of quality, with severe artifacts and loss of subject integrity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing (Full Body)\", \"reason_1\": \"The camera keeps the entire body in frame effectively, allowing the viewer to see the full extension of the jump.\", \"reason_2\": \"The framing is awkward, often cutting off parts of the subject or losing focus on the action.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Dynamic Shadows\", \"reason_1\": \"The lighting is bright and directional, creating the 'dynamic shadows' requested in the prompt.\", \"reason_2\": \"The lighting is flat and inconsistent, failing to accentuate the subject's form.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video looks like a professional sports clip with vibrant colors and clean action.\", \"reason_2\": \"The video is visually unappealing due to the heavy distortion and lack of coherence.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 offers a cinematic, well-composed shot that highlights the athleticism. Video 2 is visually confusing and aesthetically unpleasant due to glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every regard, delivering a coherent, physically plausible, and visually high-quality representation of the prompt. It successfully captures the athletic jump, the specific attire, and the environmental context with stability. Video 2 suffers from severe morphological breakdown, where the subject's face and body distort significantly, and the motion is chaotic and glitchy rather than fluid and powerful.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Springing Upward)", "reason_1": "Video 1 depicts a clear, powerful vertical jump where the subject springs upward as requested.", "reason_2": "Video 2 shows the subject flailing and twisting in a glitchy manner that does not resemble a controlled athletic jump.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Sleek Black Tracksuit)", "reason_1": "The subject is clearly wearing a black tracksuit with visible stripes, matching the 'sleek' description.", "reason_2": "The subject wears a generic black outfit that lacks the distinct 'tracksuit' aesthetic and appears ill-fitting due to generation errors.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Sunlit Field & Sky)", "reason_1": "The video features a wide, open grassy field with a clear blue sky, perfectly matching the setting description.", "reason_2": "The background is a steep, blurry grassy slope with trees, which deviates from the open field implied by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific action of 'springing upward' and the 'sleek black tracksuit' in the correct environment. Video 2 fails to render a coherent jump and the subject's attire is less distinct.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "The subject maintains a consistent human form throughout the jump.", "reason_2": "The subject's face and limbs severely distort and melt during the motion, breaking all realism.", "score_1": 9, "score_2": 1}, {"name": "Physics & Motion Plausibility", "reason_1": "The jump follows a logical trajectory with appropriate gravity and momentum.", "reason_2": "The movement is jerky and unnatural, lacking weight or logical physical interaction with the ground.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image remains sharp and defined, even during the fast motion.", "reason_2": "The video is plagued by excessive blur and low-resolution artifacts that obscure the subject.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and realism. Video 2 collapses completely in terms of quality, with severe artifacts and loss of subject integrity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing (Full Body)", "reason_1": "The camera keeps the entire body in frame effectively, allowing the viewer to see the full extension of the jump.", "reason_2": "The framing is awkward, often cutting off parts of the subject or losing focus on the action.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Dynamic Shadows", "reason_1": "The lighting is bright and directional, creating the 'dynamic shadows' requested in the prompt.", "reason_2": "The lighting is flat and inconsistent, failing to accentuate the subject's form.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video looks like a professional sports clip with vibrant colors and clean action.", "reason_2": "The video is visually unappealing due to the heavy distortion and lack of coherence.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 offers a cinematic, well-composed shot that highlights the athleticism. Video 2 is visually confusing and aesthetically unpleasant due to glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every regard, delivering a coherent, physically plausible, and visually high-quality representation of the prompt. It successfully captures the athletic jump, the specific attire, and the environmental context with stability. Video 2 suffers from severe morphological breakdown, where the subject's face and body distort significantly, and the motion is chaotic and glitchy rather than fluid and powerful.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 52.215} +{"pair_id": "016_seed_310", "sample_index": 16, "seed": 310, "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_310_A man in a sleek black tracksuit stands poised on.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_310_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_310_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_310_A man in a sleek black tracksuit stands poised on.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Springing Upward)\", \"reason_1\": \"Video 1 depicts a clear, vertical jump where the subject leaves the ground and extends arms, matching the 'springs upward' instruction perfectly.\", \"reason_2\": \"Video 2 shows a subject bending over and then morphing into a standing position; there is no distinct 'spring' or vertical leap.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Sleek Black Tracksuit)\", \"reason_1\": \"The subject wears a clearly defined, sleek black tracksuit that maintains its texture and form throughout the clip.\", \"reason_2\": \"The clothing is black but lacks definition, appearing more like a morphing blob than a specific 'sleek tracksuit'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Sunlit Field & Sky)\", \"reason_1\": \"The video clearly shows a vibrant green field and a clear blue sky, consistent with the prompt's setting.\", \"reason_2\": \"While a green background is present, the sky is barely visible, and the environment feels claustrophobic and poorly defined.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific action of 'springing upward' and the 'sleek black tracksuit' within the correct environment. Video 2 fails to depict a clear jump, instead showing a confusing morphing motion from a bent position.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Body Integrity)\", \"reason_1\": \"The subject's body proportions remain consistent and realistic throughout the jump.\", \"reason_2\": \"The subject's body warps significantly; the transition from bent to standing is a glitchy morph rather than a physical movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The face remains recognizable and human-like throughout the motion.\", \"reason_2\": \"The face distorts severely, turning into a blur of pixels and losing all human features by the end of the clip.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Physics & Gravity\", \"reason_1\": \"The jump follows a logical trajectory with appropriate gravity and momentum.\", \"reason_2\": \"The movement is unnatural, appearing as a sudden teleportation or glitch rather than a physical jump.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and realism. Video 2 exhibits severe hallucinations, with the subject's face and body melting and distorting significantly during the movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Framing & Composition (Full Body)\", \"reason_1\": \"The camera keeps the entire body in frame, allowing the viewer to see the full extension of the jump.\", \"reason_2\": \"The framing is awkward, cutting off parts of the subject and failing to capture the 'entire body' effectively during the motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Appeal & Clarity\", \"reason_1\": \"The image is sharp, colorful, and visually pleasing, resembling a professional sports shot.\", \"reason_2\": \"The video is blurry, distorted, and visually disturbing due to the heavy artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Expression of Energy & Readiness\", \"reason_1\": \"The subject's posture and the height of the jump effectively convey the 'powerful energy' and 'readiness' requested.\", \"reason_2\": \"The chaotic morphing conveys confusion rather than athletic energy or readiness.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a clean, aesthetically pleasing shot that captures the energy of the prompt. Video 2 is visually unpleasant due to the heavy distortion and lack of clear framing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every regard, offering a stable, coherent, and visually pleasing representation of the prompt. It successfully depicts the full-body jump with consistent anatomy and a clear environment. Video 2 suffers from catastrophic morphological failure, where the subject's face and body distort severely, and the motion resembles a glitchy morph rather than a physical jump.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Springing Upward)", "reason_1": "Video 1 depicts a clear, vertical jump where the subject leaves the ground and extends arms, matching the 'springs upward' instruction perfectly.", "reason_2": "Video 2 shows a subject bending over and then morphing into a standing position; there is no distinct 'spring' or vertical leap.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Sleek Black Tracksuit)", "reason_1": "The subject wears a clearly defined, sleek black tracksuit that maintains its texture and form throughout the clip.", "reason_2": "The clothing is black but lacks definition, appearing more like a morphing blob than a specific 'sleek tracksuit'.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Sunlit Field & Sky)", "reason_1": "The video clearly shows a vibrant green field and a clear blue sky, consistent with the prompt's setting.", "reason_2": "While a green background is present, the sky is barely visible, and the environment feels claustrophobic and poorly defined.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific action of 'springing upward' and the 'sleek black tracksuit' within the correct environment. Video 2 fails to depict a clear jump, instead showing a confusing morphing motion from a bent position.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Body Integrity)", "reason_1": "The subject's body proportions remain consistent and realistic throughout the jump.", "reason_2": "The subject's body warps significantly; the transition from bent to standing is a glitchy morph rather than a physical movement.", "score_1": 9, "score_2": 1}, {"name": "Facial Identity Persistence", "reason_1": "The face remains recognizable and human-like throughout the motion.", "reason_2": "The face distorts severely, turning into a blur of pixels and losing all human features by the end of the clip.", "score_1": 8, "score_2": 2}, {"name": "Motion Physics & Gravity", "reason_1": "The jump follows a logical trajectory with appropriate gravity and momentum.", "reason_2": "The movement is unnatural, appearing as a sudden teleportation or glitch rather than a physical jump.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and realism. Video 2 exhibits severe hallucinations, with the subject's face and body melting and distorting significantly during the movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Framing & Composition (Full Body)", "reason_1": "The camera keeps the entire body in frame, allowing the viewer to see the full extension of the jump.", "reason_2": "The framing is awkward, cutting off parts of the subject and failing to capture the 'entire body' effectively during the motion.", "score_1": 9, "score_2": 1}, {"name": "Visual Appeal & Clarity", "reason_1": "The image is sharp, colorful, and visually pleasing, resembling a professional sports shot.", "reason_2": "The video is blurry, distorted, and visually disturbing due to the heavy artifacts.", "score_1": 9, "score_2": 1}, {"name": "Expression of Energy & Readiness", "reason_1": "The subject's posture and the height of the jump effectively convey the 'powerful energy' and 'readiness' requested.", "reason_2": "The chaotic morphing conveys confusion rather than athletic energy or readiness.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a clean, aesthetically pleasing shot that captures the energy of the prompt. Video 2 is visually unpleasant due to the heavy distortion and lack of clear framing.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every regard, offering a stable, coherent, and visually pleasing representation of the prompt. It successfully depicts the full-body jump with consistent anatomy and a clear environment. Video 2 suffers from catastrophic morphological failure, where the subject's face and body distort severely, and the motion resembles a glitchy morph rather than a physical jump.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 57.802} +{"pair_id": "016_seed_930", "sample_index": 16, "seed": 930, "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Springing Upward)\", \"reason_1\": \"Video 1 clearly depicts the subject crouching and then springing upward with arms extending, matching the prompt's core action.\", \"reason_2\": \"Video 2 shows the subject performing a twisting motion or dance move rather than a vertical jump, failing to capture the 'springing upward' requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Framing Constraint (Entire Body)\", \"reason_1\": \"Video 1 maintains a wide shot that keeps the subject's entire body within the frame throughout the sequence.\", \"reason_2\": \"Video 2 utilizes a medium shot that frequently cuts off the subject's legs and feet, directly violating the 'entire body captured' constraint.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Field & Sky)\", \"reason_1\": \"Video 1 places the subject in a vast, open grassy field with a clear blue sky, matching the setting description perfectly.\", \"reason_2\": \"Video 2 places the subject in a wooded area with trees in the background, which deviates from the open 'grassy field' description.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 adheres strictly to the prompt's instructions regarding the specific action (jumping), the framing (full body), and the environment. Video 2 fails to depict a clear jump and violates the framing constraint.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subject in Video 1 retains a consistent human shape and anatomical structure throughout the motion.\", \"reason_2\": \"The subject in Video 2 suffers from severe distortion; the face melts and the limbs warp unnaturally during the movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Physics & Gravity\", \"reason_1\": \"The jump in Video 1 follows a logical trajectory with a sense of weight and momentum.\", \"reason_2\": \"The motion in Video 2 is floaty and disjointed, lacking realistic physical grounding or momentum.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 is sharp and clear, allowing details of the tracksuit and environment to be seen.\", \"reason_2\": \"Video 2 is blurry and lacks definition, making the subject appear out of focus even before the intentional blur effect.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable subject and realistic motion physics. Video 2 suffers from severe hallucinations, morphing anatomy, and unnatural movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Visual Balance\", \"reason_1\": \"Video 1 uses a balanced wide composition that effectively showcases the subject against the environment.\", \"reason_2\": \"Video 2 has awkward framing where the subject is often too close or cut off, creating a claustrophobic and unbalanced look.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression of Energy & Readiness\", \"reason_1\": \"The stance and subsequent jump in Video 1 effectively convey the 'powerful energy' and 'readiness' requested.\", \"reason_2\": \"The confused movement in Video 2 fails to convey a clear sense of athletic readiness or power.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"Video 1 features bright, consistent sunlight that matches the 'sunlit' description.\", \"reason_2\": \"Video 2 has flatter lighting and the background blur feels more like a generation artifact than a cinematic choice.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 presents a coherent, aesthetically pleasing shot that conveys the requested energy. Video 2 is visually confusing and lacks narrative clarity.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the core action of the prompt (a vertical jump) while maintaining the required full-body framing and environmental context. Video 2 fails significantly in semantic alignment, presenting a distorted, twisting motion instead of a jump, and suffers from severe morphological instability and poor framing that cuts off the subject's body.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Springing Upward)", "reason_1": "Video 1 clearly depicts the subject crouching and then springing upward with arms extending, matching the prompt's core action.", "reason_2": "Video 2 shows the subject performing a twisting motion or dance move rather than a vertical jump, failing to capture the 'springing upward' requirement.", "score_1": 9, "score_2": 1}, {"name": "Framing Constraint (Entire Body)", "reason_1": "Video 1 maintains a wide shot that keeps the subject's entire body within the frame throughout the sequence.", "reason_2": "Video 2 utilizes a medium shot that frequently cuts off the subject's legs and feet, directly violating the 'entire body captured' constraint.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Field & Sky)", "reason_1": "Video 1 places the subject in a vast, open grassy field with a clear blue sky, matching the setting description perfectly.", "reason_2": "Video 2 places the subject in a wooded area with trees in the background, which deviates from the open 'grassy field' description.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 adheres strictly to the prompt's instructions regarding the specific action (jumping), the framing (full body), and the environment. Video 2 fails to depict a clear jump and violates the framing constraint.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "The subject in Video 1 retains a consistent human shape and anatomical structure throughout the motion.", "reason_2": "The subject in Video 2 suffers from severe distortion; the face melts and the limbs warp unnaturally during the movement.", "score_1": 8, "score_2": 2}, {"name": "Motion Physics & Gravity", "reason_1": "The jump in Video 1 follows a logical trajectory with a sense of weight and momentum.", "reason_2": "The motion in Video 2 is floaty and disjointed, lacking realistic physical grounding or momentum.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 is sharp and clear, allowing details of the tracksuit and environment to be seen.", "reason_2": "Video 2 is blurry and lacks definition, making the subject appear out of focus even before the intentional blur effect.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable subject and realistic motion physics. Video 2 suffers from severe hallucinations, morphing anatomy, and unnatural movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Visual Balance", "reason_1": "Video 1 uses a balanced wide composition that effectively showcases the subject against the environment.", "reason_2": "Video 2 has awkward framing where the subject is often too close or cut off, creating a claustrophobic and unbalanced look.", "score_1": 8, "score_2": 2}, {"name": "Expression of Energy & Readiness", "reason_1": "The stance and subsequent jump in Video 1 effectively convey the 'powerful energy' and 'readiness' requested.", "reason_2": "The confused movement in Video 2 fails to convey a clear sense of athletic readiness or power.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Atmosphere", "reason_1": "Video 1 features bright, consistent sunlight that matches the 'sunlit' description.", "reason_2": "Video 2 has flatter lighting and the background blur feels more like a generation artifact than a cinematic choice.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 presents a coherent, aesthetically pleasing shot that conveys the requested energy. Video 2 is visually confusing and lacks narrative clarity.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the core action of the prompt (a vertical jump) while maintaining the required full-body framing and environmental context. Video 2 fails significantly in semantic alignment, presenting a distorted, twisting motion instead of a jump, and suffers from severe morphological instability and poor framing that cuts off the subject's body.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 55.977} +{"pair_id": "017_seed_42", "sample_index": 17, "seed": 42, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 correctly renders the yellow raincoat, red boots, and rainbow umbrella with high clarity.\", \"reason_2\": \"Video 2 also correctly identifies and renders all key clothing and object attributes specified in the prompt.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Spatial Logic (Leash & Hand Interaction)\", \"reason_1\": \"Video 1 fails the specific instruction to hold the leash in the 'left hand'; the leash appears to be held in the right hand or is physically disconnected.\", \"reason_2\": \"Video 2 correctly depicts the girl holding the leash in her left hand (the hand on the viewer's right side), adhering strictly to the spatial prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Lighting & Weather)\", \"reason_1\": \"Video 1 perfectly captures the 'sun peeking through clouds' and 'gentle glow' on the wet pavement, creating the requested vibrant atmosphere.\", \"reason_2\": \"Video 2 presents a flatter, more overcast lighting scenario that lacks the specific 'gentle glow' and vibrant contrast requested.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"While Video 2 is more accurate regarding the specific hand holding the leash, Video 1 captures the broader environmental and atmospheric semantics (lighting, mood, colors) much more effectively.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-definition textures on the raincoat and umbrella.\", \"reason_2\": \"The image is noticeably softer and blurrier, lacking the fine detail seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The girl's face and the dog's form remain consistent and solid throughout the clip.\", \"reason_2\": \"The dog's legs and the girl's facial features exhibit slight warping and inconsistency during movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Grounding & Physics\", \"reason_1\": \"The walking motion is relatively smooth, though there is some minor 'sliding' of the feet.\", \"reason_2\": \"The dog's movement feels slightly floaty and disconnected from the ground plane.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates significantly higher resolution, sharper textures, and better temporal stability compared to the softer, slightly morphing visuals of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Vibrancy & Palette\", \"reason_1\": \"The colors are punchy and saturated, perfectly matching the 'vibrant' and 'colorful' descriptors in the prompt.\", \"reason_2\": \"The color palette is muted and somewhat dull, failing to convey the requested vibrancy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Emotional Tone (Joy & Warmth)\", \"reason_1\": \"The lighting and the girl's expression effectively convey the 'warmth and innocence' requested.\", \"reason_2\": \"The flatter lighting and less distinct expression result in a more neutral, less emotional tone.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition, lighting, and clarity combine to make a highly aesthetically pleasing video.\", \"reason_2\": \"The video feels more like a raw generation with less artistic polish and visual impact.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 excels in creating the 'charming' and 'vibrant' aesthetic requested, with superior color grading and emotional resonance.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, vibrant color grading, and accurate capture of the atmospheric lighting described in the prompt. While Video 2 adheres better to the specific spatial instruction regarding the leash, Video 1 delivers a much higher quality, aesthetically pleasing, and emotionally resonant result that aligns perfectly with the 'charming' and 'vibrant' descriptors.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 correctly renders the yellow raincoat, red boots, and rainbow umbrella with high clarity.", "reason_2": "Video 2 also correctly identifies and renders all key clothing and object attributes specified in the prompt.", "score_1": 5, "score_2": 5}, {"name": "Spatial Logic (Leash & Hand Interaction)", "reason_1": "Video 1 fails the specific instruction to hold the leash in the 'left hand'; the leash appears to be held in the right hand or is physically disconnected.", "reason_2": "Video 2 correctly depicts the girl holding the leash in her left hand (the hand on the viewer's right side), adhering strictly to the spatial prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Lighting & Weather)", "reason_1": "Video 1 perfectly captures the 'sun peeking through clouds' and 'gentle glow' on the wet pavement, creating the requested vibrant atmosphere.", "reason_2": "Video 2 presents a flatter, more overcast lighting scenario that lacks the specific 'gentle glow' and vibrant contrast requested.", "score_1": 8, "score_2": 2}], "cat_reason": "While Video 2 is more accurate regarding the specific hand holding the leash, Video 1 captures the broader environmental and atmospheric semantics (lighting, mood, colors) much more effectively.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-definition textures on the raincoat and umbrella.", "reason_2": "The image is noticeably softer and blurrier, lacking the fine detail seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Subject Morphological Stability", "reason_1": "The girl's face and the dog's form remain consistent and solid throughout the clip.", "reason_2": "The dog's legs and the girl's facial features exhibit slight warping and inconsistency during movement.", "score_1": 7, "score_2": 3}, {"name": "Motion Grounding & Physics", "reason_1": "The walking motion is relatively smooth, though there is some minor 'sliding' of the feet.", "reason_2": "The dog's movement feels slightly floaty and disconnected from the ground plane.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates significantly higher resolution, sharper textures, and better temporal stability compared to the softer, slightly morphing visuals of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Vibrancy & Palette", "reason_1": "The colors are punchy and saturated, perfectly matching the 'vibrant' and 'colorful' descriptors in the prompt.", "reason_2": "The color palette is muted and somewhat dull, failing to convey the requested vibrancy.", "score_1": 9, "score_2": 1}, {"name": "Emotional Tone (Joy & Warmth)", "reason_1": "The lighting and the girl's expression effectively convey the 'warmth and innocence' requested.", "reason_2": "The flatter lighting and less distinct expression result in a more neutral, less emotional tone.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The composition, lighting, and clarity combine to make a highly aesthetically pleasing video.", "reason_2": "The video feels more like a raw generation with less artistic polish and visual impact.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 excels in creating the 'charming' and 'vibrant' aesthetic requested, with superior color grading and emotional resonance.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, vibrant color grading, and accurate capture of the atmospheric lighting described in the prompt. While Video 2 adheres better to the specific spatial instruction regarding the leash, Video 1 delivers a much higher quality, aesthetically pleasing, and emotionally resonant result that aligns perfectly with the 'charming' and 'vibrant' descriptors.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 61.0, "total_score_2": 29.0, "elapsed_sec": 71.198} +{"pair_id": "017_seed_310", "sample_index": 17, "seed": 310, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_310_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_310_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_310_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_310_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 perfectly renders the yellow raincoat, red boots, and rainbow umbrella with high detail and correct colors.\", \"reason_2\": \"Video 2 includes the items, but the umbrella is disproportionately large and the boots lack the distinct red color definition seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Interaction Logic (Leash Handling)\", \"reason_1\": \"The girl holds the leash in her left hand (viewer's right) as requested, with a clear physical connection to the dog.\", \"reason_2\": \"The leash interaction is messy; the leash appears to float or disconnect, and the hand holding it is obscured or malformed.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Bustling Street)\", \"reason_1\": \"The background features distinct, colorful storefronts and discernible pedestrians, creating the requested 'bustling' atmosphere.\", \"reason_2\": \"The background is blurry and lacks distinct storefront details or clear pedestrian figures, failing to convey the 'bustling' aspect effectively.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts all prompt elements, including the specific clothing colors, the dog's breed characteristics, and the bustling background. Video 2 struggles with the specific interaction of the leash and the clarity of the background elements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity & Facial Stability\", \"reason_1\": \"The girl's face remains consistent, cute, and anatomically correct throughout the clip.\", \"reason_2\": \"The girl's face suffers from severe morphing and distortion, losing human likeness and becoming disturbing.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Biological Motion Coherence (Dog)\", \"reason_1\": \"The dog trots with a natural gait, and its legs move logically.\", \"reason_2\": \"The dog's legs frequently disappear, merge, or move in physically impossible ways (gliding/sliding).\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with sharp textures on the raincoat and pavement.\", \"reason_2\": \"The video is generally soft, blurry, and lacks high-frequency detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains a stable, high-resolution image. Video 2 exhibits severe 'hallucinations' where the girl's face melts and the dog's anatomy breaks down during motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Tone (Joy & Warmth)\", \"reason_1\": \"The bright lighting and the girl's clear smile effectively convey the requested warmth and innocence.\", \"reason_2\": \"The facial distortions create an eerie, uncanny valley effect that is the opposite of 'charming' or 'joyful'.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Vibrancy & Lighting\", \"reason_1\": \"Colors are saturated and vibrant, matching the 'vibrant rainbow' and 'colorful storefronts' description.\", \"reason_2\": \"The color palette is somewhat washed out and dull compared to the prompt's request for vibrancy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subjects are well-centered with a balanced view of the street and sky.\", \"reason_2\": \"The framing is acceptable, but the oversized umbrella dominates the frame awkwardly, unbalancing the composition.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully captures the 'charming' and 'joyful' mood requested. Video 2's visual artifacts create an unintentional horror/uncanny valley effect that ruins the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It delivers a high-fidelity, stable, and aesthetically pleasing generation that perfectly matches the prompt's requirements for color, subject attributes, and emotional tone. Video 2 suffers from severe morphological instability, particularly with the girl's face and the dog's legs, and fails to maintain the requested vibrant aesthetic.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 perfectly renders the yellow raincoat, red boots, and rainbow umbrella with high detail and correct colors.", "reason_2": "Video 2 includes the items, but the umbrella is disproportionately large and the boots lack the distinct red color definition seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Interaction Logic (Leash Handling)", "reason_1": "The girl holds the leash in her left hand (viewer's right) as requested, with a clear physical connection to the dog.", "reason_2": "The leash interaction is messy; the leash appears to float or disconnect, and the hand holding it is obscured or malformed.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Bustling Street)", "reason_1": "The background features distinct, colorful storefronts and discernible pedestrians, creating the requested 'bustling' atmosphere.", "reason_2": "The background is blurry and lacks distinct storefront details or clear pedestrian figures, failing to convey the 'bustling' aspect effectively.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts all prompt elements, including the specific clothing colors, the dog's breed characteristics, and the bustling background. Video 2 struggles with the specific interaction of the leash and the clarity of the background elements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity & Facial Stability", "reason_1": "The girl's face remains consistent, cute, and anatomically correct throughout the clip.", "reason_2": "The girl's face suffers from severe morphing and distortion, losing human likeness and becoming disturbing.", "score_1": 9, "score_2": 1}, {"name": "Biological Motion Coherence (Dog)", "reason_1": "The dog trots with a natural gait, and its legs move logically.", "reason_2": "The dog's legs frequently disappear, merge, or move in physically impossible ways (gliding/sliding).", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with sharp textures on the raincoat and pavement.", "reason_2": "The video is generally soft, blurry, and lacks high-frequency detail.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains a stable, high-resolution image. Video 2 exhibits severe 'hallucinations' where the girl's face melts and the dog's anatomy breaks down during motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Tone (Joy & Warmth)", "reason_1": "The bright lighting and the girl's clear smile effectively convey the requested warmth and innocence.", "reason_2": "The facial distortions create an eerie, uncanny valley effect that is the opposite of 'charming' or 'joyful'.", "score_1": 9, "score_2": 1}, {"name": "Color Vibrancy & Lighting", "reason_1": "Colors are saturated and vibrant, matching the 'vibrant rainbow' and 'colorful storefronts' description.", "reason_2": "The color palette is somewhat washed out and dull compared to the prompt's request for vibrancy.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The subjects are well-centered with a balanced view of the street and sky.", "reason_2": "The framing is acceptable, but the oversized umbrella dominates the frame awkwardly, unbalancing the composition.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully captures the 'charming' and 'joyful' mood requested. Video 2's visual artifacts create an unintentional horror/uncanny valley effect that ruins the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It delivers a high-fidelity, stable, and aesthetically pleasing generation that perfectly matches the prompt's requirements for color, subject attributes, and emotional tone. Video 2 suffers from severe morphological instability, particularly with the girl's face and the dog's legs, and fails to maintain the requested vibrant aesthetic.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 60.77} +{"pair_id": "017_seed_930", "sample_index": 17, "seed": 930, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 correctly renders the yellow raincoat, red boots, and rainbow umbrella with high clarity.\", \"reason_2\": \"Video 2 also correctly identifies and renders all key clothing and object attributes specified in the prompt.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Interaction Logic (Leash Handling)\", \"reason_1\": \"Video 1 fails the specific instruction to hold the leash in the left hand; the leash appears to be held in the right hand or is floating near the hip.\", \"reason_2\": \"Video 2 also fails the specific hand instruction, showing the leash held in the right hand rather than the left.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Bustling Street)\", \"reason_1\": \"Video 1 depicts a street with pedestrians, but the background is somewhat static and lacks the 'bustling' energy requested.\", \"reason_2\": \"Video 2 features a more dynamic background with a scooter and moving pedestrians, better capturing the 'bustling city street' requirement.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos struggle with the specific 'left hand' instruction, but Video 2 better captures the 'bustling' nature of the environment and the 'confident' walk described in the prompt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Face)\", \"reason_1\": \"Video 1 suffers from severe facial instability; the girl's features morph and distort significantly throughout the clip.\", \"reason_2\": \"Video 2 maintains a consistent facial identity for the girl throughout the duration of the video.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Locomotion Physics (Foot-Ground Contact)\", \"reason_1\": \"Video 1 exhibits significant 'moonwalking' or sliding artifacts, where the feet move across the ground without proper traction.\", \"reason_2\": \"Video 2 displays much more grounded foot placement, with the boots appearing to make solid contact with the pavement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Object Stability (Umbrella & Leash)\", \"reason_1\": \"The umbrella in Video 1 wobbles unnaturally, and the leash physics are floaty and disconnected.\", \"reason_2\": \"The umbrella in Video 2 maintains a rigid, realistic shape, and the leash, while held in the wrong hand, has more consistent tension.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior, maintaining subject identity and physical plausibility much better than Video 1, which suffers from severe morphing and sliding.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Sun & Glow)\", \"reason_1\": \"Video 1 has flat lighting that misses the specific 'sun peeking through clouds' and 'gentle glow' description.\", \"reason_2\": \"Video 2 successfully renders the requested lighting, showing distinct highlights on the wet pavement and a warmer, sunlit atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Character Expression & Mood\", \"reason_1\": \"The girl's expression in Video 1 is inconsistent due to the morphing artifacts, detracting from the 'charming' and 'joyful' mood.\", \"reason_2\": \"Video 2 portrays a stable, smiling expression that effectively conveys the requested 'joyful' and 'innocent' demeanor.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is diminished by the distracting technical artifacts and lack of dynamic lighting.\", \"reason_2\": \"The video feels more cinematic and polished, with better color grading and a more engaging composition.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the requested mood and lighting significantly better, creating a more cohesive and visually appealing scene.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to superior temporal stability and dynamic realism. While both videos fail the specific instruction to hold the leash in the left hand, Video 2 maintains a consistent facial identity for the girl, whereas Video 1 suffers from severe facial morphing. Additionally, Video 2 accurately renders the requested lighting effects (sun peeking through clouds, wet pavement reflections) and exhibits more grounded walking physics compared to the 'sliding' motion seen in Video 1.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 correctly renders the yellow raincoat, red boots, and rainbow umbrella with high clarity.", "reason_2": "Video 2 also correctly identifies and renders all key clothing and object attributes specified in the prompt.", "score_1": 5, "score_2": 5}, {"name": "Interaction Logic (Leash Handling)", "reason_1": "Video 1 fails the specific instruction to hold the leash in the left hand; the leash appears to be held in the right hand or is floating near the hip.", "reason_2": "Video 2 also fails the specific hand instruction, showing the leash held in the right hand rather than the left.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Bustling Street)", "reason_1": "Video 1 depicts a street with pedestrians, but the background is somewhat static and lacks the 'bustling' energy requested.", "reason_2": "Video 2 features a more dynamic background with a scooter and moving pedestrians, better capturing the 'bustling city street' requirement.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos struggle with the specific 'left hand' instruction, but Video 2 better captures the 'bustling' nature of the environment and the 'confident' walk described in the prompt.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Face)", "reason_1": "Video 1 suffers from severe facial instability; the girl's features morph and distort significantly throughout the clip.", "reason_2": "Video 2 maintains a consistent facial identity for the girl throughout the duration of the video.", "score_1": 2, "score_2": 8}, {"name": "Locomotion Physics (Foot-Ground Contact)", "reason_1": "Video 1 exhibits significant 'moonwalking' or sliding artifacts, where the feet move across the ground without proper traction.", "reason_2": "Video 2 displays much more grounded foot placement, with the boots appearing to make solid contact with the pavement.", "score_1": 3, "score_2": 7}, {"name": "Object Stability (Umbrella & Leash)", "reason_1": "The umbrella in Video 1 wobbles unnaturally, and the leash physics are floaty and disconnected.", "reason_2": "The umbrella in Video 2 maintains a rigid, realistic shape, and the leash, while held in the wrong hand, has more consistent tension.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior, maintaining subject identity and physical plausibility much better than Video 1, which suffers from severe morphing and sliding.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Sun & Glow)", "reason_1": "Video 1 has flat lighting that misses the specific 'sun peeking through clouds' and 'gentle glow' description.", "reason_2": "Video 2 successfully renders the requested lighting, showing distinct highlights on the wet pavement and a warmer, sunlit atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Character Expression & Mood", "reason_1": "The girl's expression in Video 1 is inconsistent due to the morphing artifacts, detracting from the 'charming' and 'joyful' mood.", "reason_2": "Video 2 portrays a stable, smiling expression that effectively conveys the requested 'joyful' and 'innocent' demeanor.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is diminished by the distracting technical artifacts and lack of dynamic lighting.", "reason_2": "The video feels more cinematic and polished, with better color grading and a more engaging composition.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the requested mood and lighting significantly better, creating a more cohesive and visually appealing scene.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to superior temporal stability and dynamic realism. While both videos fail the specific instruction to hold the leash in the left hand, Video 2 maintains a consistent facial identity for the girl, whereas Video 1 suffers from severe facial morphing. Additionally, Video 2 accurately renders the requested lighting effects (sun peeking through clouds, wet pavement reflections) and exhibits more grounded walking physics compared to the 'sliding' motion seen in Video 1.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 33.0, "total_score_2": 57.0, "elapsed_sec": 60.557} +{"pair_id": "018_seed_42", "sample_index": 18, "seed": 42, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Attire & Props)\", \"reason_1\": \"Video 1 clearly renders the yellow raincoat, red boots, and colorful umbrella with distinct textures and correct colors.\", \"reason_2\": \"Video 2 includes the items, but the umbrella is often cut off by the frame, and the boots lack the distinct 'red' definition seen in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Street & Atmosphere)\", \"reason_1\": \"Video 1 depicts a detailed cobblestone street with visible flower boxes and shop fronts that match the 'quaint' description well.\", \"reason_2\": \"Video 2 shows the street, but the background details are blurrier and less distinct, making the 'vibrant trinkets' harder to discern.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Interaction Logic (Leash & Companionship)\", \"reason_1\": \"The girl holds the leash naturally, and the dog trots beside her in a logical spatial relationship.\", \"reason_2\": \"The leash interaction is physically impossible; the leash appears to merge with the dog's body or float, breaking the semantic logic of 'holding a leash'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts all prompt elements with high clarity, particularly the 'charming' nature of the girl and the specific environmental details. Video 2 struggles with the interaction logic of the leash and the dog's form.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The girl's face and body proportions remain consistent and recognizable throughout the clip.\", \"reason_2\": \"The girl's face distorts significantly, and her body shape fluctuates unnaturally during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Biological Motion Physics (Gait & Gravity)\", \"reason_1\": \"The walking motion is grounded; feet plant on the ground, and the dog's trot has weight.\", \"reason_2\": \"The subjects exhibit 'moonwalking' or sliding artifacts where feet move without traction, and the dog's legs morph into the ground.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Textures on the raincoat and cobblestones are sharp and well-defined.\", \"reason_2\": \"The video has a pervasive blurriness and lack of fine detail, especially on the dog's fur and the background elements.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid structural integrity, while Video 2 suffers from severe morphing, sliding feet, and low-resolution textures.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Subject Framing\", \"reason_1\": \"The camera keeps the girl and dog well-centered, allowing the viewer to see the full action and expressions.\", \"reason_2\": \"The framing is poor; the top of the colorful umbrella is frequently cut off, and the dog is sometimes awkwardly positioned at the edge of the frame.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Tone (Charming vs. Uncanny)\", \"reason_1\": \"The lighting and color grading successfully evoke the 'charming' and 'heartwarming' mood requested.\", \"reason_2\": \"Due to the facial distortions and jerky motion, the video leans towards the 'uncanny valley,' failing to convey the intended charm.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Stability\", \"reason_1\": \"The camera tracks backward smoothly, mimicking a professional dolly shot.\", \"reason_2\": \"The camera movement feels slightly jittery and less intentional, distracting from the narrative.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers a pleasing, cinematic composition that captures the 'heartwarming' mood. Video 2's poor framing and uncanny visuals detract from the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior temporal stability, anatomical consistency, and visual fidelity. It successfully maintains the structural integrity of the girl and the dog throughout the clip, whereas Video 2 suffers from significant morphing, 'floating' motion artifacts, and poor framing that cuts off key elements like the umbrella.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Attire & Props)", "reason_1": "Video 1 clearly renders the yellow raincoat, red boots, and colorful umbrella with distinct textures and correct colors.", "reason_2": "Video 2 includes the items, but the umbrella is often cut off by the frame, and the boots lack the distinct 'red' definition seen in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Street & Atmosphere)", "reason_1": "Video 1 depicts a detailed cobblestone street with visible flower boxes and shop fronts that match the 'quaint' description well.", "reason_2": "Video 2 shows the street, but the background details are blurrier and less distinct, making the 'vibrant trinkets' harder to discern.", "score_1": 6, "score_2": 4}, {"name": "Interaction Logic (Leash & Companionship)", "reason_1": "The girl holds the leash naturally, and the dog trots beside her in a logical spatial relationship.", "reason_2": "The leash interaction is physically impossible; the leash appears to merge with the dog's body or float, breaking the semantic logic of 'holding a leash'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts all prompt elements with high clarity, particularly the 'charming' nature of the girl and the specific environmental details. Video 2 struggles with the interaction logic of the leash and the dog's form.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "The girl's face and body proportions remain consistent and recognizable throughout the clip.", "reason_2": "The girl's face distorts significantly, and her body shape fluctuates unnaturally during movement.", "score_1": 8, "score_2": 2}, {"name": "Biological Motion Physics (Gait & Gravity)", "reason_1": "The walking motion is grounded; feet plant on the ground, and the dog's trot has weight.", "reason_2": "The subjects exhibit 'moonwalking' or sliding artifacts where feet move without traction, and the dog's legs morph into the ground.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Textures on the raincoat and cobblestones are sharp and well-defined.", "reason_2": "The video has a pervasive blurriness and lack of fine detail, especially on the dog's fur and the background elements.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid structural integrity, while Video 2 suffers from severe morphing, sliding feet, and low-resolution textures.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Subject Framing", "reason_1": "The camera keeps the girl and dog well-centered, allowing the viewer to see the full action and expressions.", "reason_2": "The framing is poor; the top of the colorful umbrella is frequently cut off, and the dog is sometimes awkwardly positioned at the edge of the frame.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Tone (Charming vs. Uncanny)", "reason_1": "The lighting and color grading successfully evoke the 'charming' and 'heartwarming' mood requested.", "reason_2": "Due to the facial distortions and jerky motion, the video leans towards the 'uncanny valley,' failing to convey the intended charm.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Stability", "reason_1": "The camera tracks backward smoothly, mimicking a professional dolly shot.", "reason_2": "The camera movement feels slightly jittery and less intentional, distracting from the narrative.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers a pleasing, cinematic composition that captures the 'heartwarming' mood. Video 2's poor framing and uncanny visuals detract from the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior temporal stability, anatomical consistency, and visual fidelity. It successfully maintains the structural integrity of the girl and the dog throughout the clip, whereas Video 2 suffers from significant morphing, 'floating' motion artifacts, and poor framing that cuts off key elements like the umbrella.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 63.186} +{"pair_id": "018_seed_310", "sample_index": 18, "seed": 310, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_310_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_310_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_310_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_310_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Attire & Colors)\", \"reason_1\": \"Video 1 perfectly renders the bright yellow raincoat, red boots, and colorful umbrella with distinct textures.\", \"reason_2\": \"Video 2 includes the correct colors, but the textures are muddy and the umbrella lacks the distinct 'colorful' vibrancy seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Shops & Reflections)\", \"reason_1\": \"Video 1 clearly displays the 'vibrant trinkets' in the shop windows and realistic puddle reflections on the cobblestones.\", \"reason_2\": \"Video 2's background is blurry; the shop windows are indistinct, and the reflections are smeared rather than realistic.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Interaction Logic (Leash & Companionship)\", \"reason_1\": \"The girl holds the leash naturally, and the dog trots beside her with a logical physical connection.\", \"reason_2\": \"The leash in Video 2 appears to float or disconnect from the girl's hand, and the dog's position relative to the girl is inconsistent.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures every semantic detail with high precision, particularly the environmental context and the specific attributes of the subjects. Video 2 includes the core elements but fails to render the specific details like the shop trinkets or the 'loose' nature of the leash interaction convincingly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Dog & Limbs)\", \"reason_1\": \"The dog and girl maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"The dog in Video 2 suffers from severe morphing, changing shape and size with every step, and the girl's legs distort.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Locomotion Physics (Gait & Ground Contact)\", \"reason_1\": \"The walking motion is grounded; feet interact realistically with the cobblestones.\", \"reason_2\": \"The subjects in Video 2 exhibit 'moonwalking' or sliding, where their feet move faster than the ground speed, breaking physical plausibility.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Texture Resolution\", \"reason_1\": \"The image is sharp, with clear definition in the raincoat fabric and dog fur.\", \"reason_2\": \"The video is blurry and lacks high-frequency detail, appearing like a low-resolution upscale.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid subject integrity and realistic motion. Video 2 exhibits classic AI artifacts like sliding feet, morphing limbs, and background instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Camera Movement\", \"reason_1\": \"Uses a stable frontal tracking shot that keeps the subjects perfectly framed and engaging.\", \"reason_2\": \"Uses a side-tracking shot that feels rushed and shaky, making it harder to appreciate the details.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Mood (Heartwarming/Quaint)\", \"reason_1\": \"The lighting and color grading successfully evoke the 'charming' and 'heartwarming' vibe requested.\", \"reason_2\": \"The glitchy motion and darker, muddier tones detract significantly from the intended heartwarming mood.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Expression & Vitality\", \"reason_1\": \"The girl's face is visible and expressive, matching the 'joyful' description.\", \"reason_2\": \"The girl's face is often obscured or distorted, failing to convey the requested emotion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a professional, cinematic frontal shot that effectively conveys the 'charming' and 'heartwarming' mood. Video 2's side angle is less engaging and marred by visual glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category, offering a high-fidelity, stable, and aesthetically pleasing interpretation of the prompt. It accurately renders the specific environmental details (shop trinkets, reflections) and maintains excellent morphological consistency for both the girl and the dog. Video 2 suffers from significant motion artifacts, 'sliding' physics, and lower resolution, failing to capture the charm and realism required.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Attire & Colors)", "reason_1": "Video 1 perfectly renders the bright yellow raincoat, red boots, and colorful umbrella with distinct textures.", "reason_2": "Video 2 includes the correct colors, but the textures are muddy and the umbrella lacks the distinct 'colorful' vibrancy seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Shops & Reflections)", "reason_1": "Video 1 clearly displays the 'vibrant trinkets' in the shop windows and realistic puddle reflections on the cobblestones.", "reason_2": "Video 2's background is blurry; the shop windows are indistinct, and the reflections are smeared rather than realistic.", "score_1": 9, "score_2": 1}, {"name": "Interaction Logic (Leash & Companionship)", "reason_1": "The girl holds the leash naturally, and the dog trots beside her with a logical physical connection.", "reason_2": "The leash in Video 2 appears to float or disconnect from the girl's hand, and the dog's position relative to the girl is inconsistent.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures every semantic detail with high precision, particularly the environmental context and the specific attributes of the subjects. Video 2 includes the core elements but fails to render the specific details like the shop trinkets or the 'loose' nature of the leash interaction convincingly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Dog & Limbs)", "reason_1": "The dog and girl maintain their shape and volume consistently throughout the clip.", "reason_2": "The dog in Video 2 suffers from severe morphing, changing shape and size with every step, and the girl's legs distort.", "score_1": 9, "score_2": 1}, {"name": "Locomotion Physics (Gait & Ground Contact)", "reason_1": "The walking motion is grounded; feet interact realistically with the cobblestones.", "reason_2": "The subjects in Video 2 exhibit 'moonwalking' or sliding, where their feet move faster than the ground speed, breaking physical plausibility.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Texture Resolution", "reason_1": "The image is sharp, with clear definition in the raincoat fabric and dog fur.", "reason_2": "The video is blurry and lacks high-frequency detail, appearing like a low-resolution upscale.", "score_1": 9, "score_2": 1}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid subject integrity and realistic motion. Video 2 exhibits classic AI artifacts like sliding feet, morphing limbs, and background instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Camera Movement", "reason_1": "Uses a stable frontal tracking shot that keeps the subjects perfectly framed and engaging.", "reason_2": "Uses a side-tracking shot that feels rushed and shaky, making it harder to appreciate the details.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Mood (Heartwarming/Quaint)", "reason_1": "The lighting and color grading successfully evoke the 'charming' and 'heartwarming' vibe requested.", "reason_2": "The glitchy motion and darker, muddier tones detract significantly from the intended heartwarming mood.", "score_1": 9, "score_2": 1}, {"name": "Subject Expression & Vitality", "reason_1": "The girl's face is visible and expressive, matching the 'joyful' description.", "reason_2": "The girl's face is often obscured or distorted, failing to convey the requested emotion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a professional, cinematic frontal shot that effectively conveys the 'charming' and 'heartwarming' mood. Video 2's side angle is less engaging and marred by visual glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category, offering a high-fidelity, stable, and aesthetically pleasing interpretation of the prompt. It accurately renders the specific environmental details (shop trinkets, reflections) and maintains excellent morphological consistency for both the girl and the dog. Video 2 suffers from significant motion artifacts, 'sliding' physics, and lower resolution, failing to capture the charm and realism required.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 61.611} +{"pair_id": "018_seed_930", "sample_index": 18, "seed": 930, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Attire & Props)\", \"reason_1\": \"Video 1 correctly renders the yellow raincoat, red boots, and colorful umbrella with high clarity.\", \"reason_2\": \"Video 2 also correctly identifies and renders all key clothing and prop attributes specified in the prompt.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Detail (Reflections & Texture)\", \"reason_1\": \"Video 1 excels at the 'puddles reflecting' requirement, showing realistic wet cobblestone textures and light reflections.\", \"reason_2\": \"Video 2 shows a wet street, but the textures are flatter and lack the specific reflective quality requested in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Behavioral Logic (Leash & Interaction)\", \"reason_1\": \"Video 1 depicts the girl holding the leash naturally, maintaining a logical physical connection to the dog.\", \"reason_2\": \"Video 2 fails significantly here; the leash frequently disconnects from the girl's hand or floats independently, breaking the semantic logic of 'holding loosely'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the environmental details and physical interactions more accurately, particularly the wet ground reflections and the logical connection of the leash.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Facial Stability)\", \"reason_1\": \"The girl's face in Video 1 remains consistent, cute, and recognizable throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe facial distortion; the girl's features morph and melt, creating a disturbing 'uncanny valley' effect.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Dog Anatomy)\", \"reason_1\": \"The dog in Video 1 maintains a consistent shape and volume while moving.\", \"reason_2\": \"The dog in Video 2 warps significantly, with its legs and body shape fluctuating unnaturally during the walk cycle.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The walking motion in Video 1 is relatively smooth and grounded.\", \"reason_2\": \"Video 2 exhibits jerky motion and 'sliding' artifacts where the subjects appear to float over the ground rather than step on it.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a stable image, whereas Video 2 suffers from severe hallucinations and morphing of the subjects' faces and bodies.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Tone (Charming vs. Uncanny)\", \"reason_1\": \"Video 1 successfully evokes the 'heartwarming' and 'charming' mood requested.\", \"reason_2\": \"Due to the facial distortions, Video 2 feels creepy and unsettling, completely failing the emotional intent of the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Composition & Depth\", \"reason_1\": \"Video 1 uses a pleasing depth of field that separates the subjects from the background effectively.\", \"reason_2\": \"Video 2 has a flatter look with less sophisticated lighting and composition.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The image is crisp, colorful, and professionally rendered.\", \"reason_2\": \"The video is plagued by visual artifacts and low-fidelity generation that detracts from the viewing experience.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully creates the 'charming' and 'heartwarming' atmosphere requested, while Video 2's visual glitches create an unintentional horror aesthetic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior temporal stability and visual fidelity. It successfully maintains the structural integrity of the girl's face and the dog's anatomy throughout the clip, whereas Video 2 suffers from severe morphological distortions (melting faces, warping limbs). Additionally, Video 1 accurately renders the environmental details like wet cobblestone reflections, which are less distinct in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Attire & Props)", "reason_1": "Video 1 correctly renders the yellow raincoat, red boots, and colorful umbrella with high clarity.", "reason_2": "Video 2 also correctly identifies and renders all key clothing and prop attributes specified in the prompt.", "score_1": 5, "score_2": 5}, {"name": "Environmental Detail (Reflections & Texture)", "reason_1": "Video 1 excels at the 'puddles reflecting' requirement, showing realistic wet cobblestone textures and light reflections.", "reason_2": "Video 2 shows a wet street, but the textures are flatter and lack the specific reflective quality requested in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Behavioral Logic (Leash & Interaction)", "reason_1": "Video 1 depicts the girl holding the leash naturally, maintaining a logical physical connection to the dog.", "reason_2": "Video 2 fails significantly here; the leash frequently disconnects from the girl's hand or floats independently, breaking the semantic logic of 'holding loosely'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the environmental details and physical interactions more accurately, particularly the wet ground reflections and the logical connection of the leash.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Facial Stability)", "reason_1": "The girl's face in Video 1 remains consistent, cute, and recognizable throughout the clip.", "reason_2": "Video 2 suffers from severe facial distortion; the girl's features morph and melt, creating a disturbing 'uncanny valley' effect.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Dog Anatomy)", "reason_1": "The dog in Video 1 maintains a consistent shape and volume while moving.", "reason_2": "The dog in Video 2 warps significantly, with its legs and body shape fluctuating unnaturally during the walk cycle.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The walking motion in Video 1 is relatively smooth and grounded.", "reason_2": "Video 2 exhibits jerky motion and 'sliding' artifacts where the subjects appear to float over the ground rather than step on it.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains a stable image, whereas Video 2 suffers from severe hallucinations and morphing of the subjects' faces and bodies.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Tone (Charming vs. Uncanny)", "reason_1": "Video 1 successfully evokes the 'heartwarming' and 'charming' mood requested.", "reason_2": "Due to the facial distortions, Video 2 feels creepy and unsettling, completely failing the emotional intent of the prompt.", "score_1": 9, "score_2": 1}, {"name": "Visual Composition & Depth", "reason_1": "Video 1 uses a pleasing depth of field that separates the subjects from the background effectively.", "reason_2": "Video 2 has a flatter look with less sophisticated lighting and composition.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The image is crisp, colorful, and professionally rendered.", "reason_2": "The video is plagued by visual artifacts and low-fidelity generation that detracts from the viewing experience.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully creates the 'charming' and 'heartwarming' atmosphere requested, while Video 2's visual glitches create an unintentional horror aesthetic.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior temporal stability and visual fidelity. It successfully maintains the structural integrity of the girl's face and the dog's anatomy throughout the clip, whereas Video 2 suffers from severe morphological distortions (melting faces, warping limbs). Additionally, Video 1 accurately renders the environmental details like wet cobblestone reflections, which are less distinct in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 58.017} +{"pair_id": "019_seed_42", "sample_index": 19, "seed": 42, "prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_42_A static camera captures a charming scene of a lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_42_A static camera captures a charming scene of a lit.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_42_A static camera captures a charming scene of a lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_42_A static camera captures a charming scene of a lit.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 correctly depicts the yellow raincoat, red boots, and curly hair, though the details are somewhat soft.\", \"reason_2\": \"Video 2 also correctly depicts all attire and physical attributes with slightly sharper definition.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Detail (Flowers & Lampposts)\", \"reason_1\": \"Video 1 includes the street and buildings but lacks the distinct 'vintage lampposts' and 'flower-filled window boxes' requested.\", \"reason_2\": \"Video 2 explicitly renders the vintage lampposts and colorful flower boxes, aligning perfectly with the 'storybook setting' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Logic (Dog Glancing Back)\", \"reason_1\": \"The dog in Video 1 runs forward but does not clearly exhibit the behavior of 'glancing back' to check on the girl.\", \"reason_2\": \"The dog in Video 2 turns its head distinctly to look back at the girl, fulfilling the specific interaction prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the specific environmental details (lampposts, flowers) and the specific interaction (dog looking back) much better than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The girl's face in Video 1 suffers from severe distortion and 'melting' artifacts throughout the clip, breaking immersion.\", \"reason_2\": \"Video 2 maintains a consistent, recognizable, and anatomically correct face for the girl throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The overall image is soft, with muddy textures on the cobblestones and clothing.\", \"reason_2\": \"The video is crisp, with high-definition textures visible on the raincoat, dog fur, and cobblestones.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics (Foot Contact)\", \"reason_1\": \"The subjects exhibit significant 'sliding' or 'moonwalking' where foot placement does not match the ground speed.\", \"reason_2\": \"While still slightly floaty, the motion is more grounded, and the bounce of the hair and coat feels more physically plausible.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, maintaining subject identity and facial structure, whereas Video 1 suffers from severe morphological instability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Sunlight & Shadows)\", \"reason_1\": \"The lighting is flat and lacks the dynamic 'playful shadows' described in the prompt.\", \"reason_2\": \"Video 2 features dappled sunlight filtering through trees, creating the requested whimsical and dynamic lighting atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are somewhat washed out and lack the 'bright' and 'colorful' punch requested.\", \"reason_2\": \"The colors are vibrant and saturated, enhancing the 'storybook' aesthetic and making the yellow raincoat pop.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is low due to the uncanny valley effect of the distorted face and lower resolution.\", \"reason_2\": \"The video is aesthetically pleasing, resembling a high-quality animated film or commercial.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully creates the 'whimsical' and 'picturesque' atmosphere through superior lighting and color grading.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, facial stability, and environmental detail. While Video 1 captures the basic semantic elements, it suffers from severe facial distortion and lower resolution. Video 2 delivers a crisp, high-definition image with stable character identity, vibrant lighting that matches the 'whimsical' prompt, and clearer inclusion of specific details like the vintage lampposts and flower boxes.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 correctly depicts the yellow raincoat, red boots, and curly hair, though the details are somewhat soft.", "reason_2": "Video 2 also correctly depicts all attire and physical attributes with slightly sharper definition.", "score_1": 5, "score_2": 5}, {"name": "Environmental Detail (Flowers & Lampposts)", "reason_1": "Video 1 includes the street and buildings but lacks the distinct 'vintage lampposts' and 'flower-filled window boxes' requested.", "reason_2": "Video 2 explicitly renders the vintage lampposts and colorful flower boxes, aligning perfectly with the 'storybook setting' description.", "score_1": 3, "score_2": 7}, {"name": "Action Logic (Dog Glancing Back)", "reason_1": "The dog in Video 1 runs forward but does not clearly exhibit the behavior of 'glancing back' to check on the girl.", "reason_2": "The dog in Video 2 turns its head distinctly to look back at the girl, fulfilling the specific interaction prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the specific environmental details (lampposts, flowers) and the specific interaction (dog looking back) much better than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The girl's face in Video 1 suffers from severe distortion and 'melting' artifacts throughout the clip, breaking immersion.", "reason_2": "Video 2 maintains a consistent, recognizable, and anatomically correct face for the girl throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The overall image is soft, with muddy textures on the cobblestones and clothing.", "reason_2": "The video is crisp, with high-definition textures visible on the raincoat, dog fur, and cobblestones.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics (Foot Contact)", "reason_1": "The subjects exhibit significant 'sliding' or 'moonwalking' where foot placement does not match the ground speed.", "reason_2": "While still slightly floaty, the motion is more grounded, and the bounce of the hair and coat feels more physically plausible.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, maintaining subject identity and facial structure, whereas Video 1 suffers from severe morphological instability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Sunlight & Shadows)", "reason_1": "The lighting is flat and lacks the dynamic 'playful shadows' described in the prompt.", "reason_2": "Video 2 features dappled sunlight filtering through trees, creating the requested whimsical and dynamic lighting atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are somewhat washed out and lack the 'bright' and 'colorful' punch requested.", "reason_2": "The colors are vibrant and saturated, enhancing the 'storybook' aesthetic and making the yellow raincoat pop.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is low due to the uncanny valley effect of the distorted face and lower resolution.", "reason_2": "The video is aesthetically pleasing, resembling a high-quality animated film or commercial.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully creates the 'whimsical' and 'picturesque' atmosphere through superior lighting and color grading.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, facial stability, and environmental detail. While Video 1 captures the basic semantic elements, it suffers from severe facial distortion and lower resolution. Video 2 delivers a crisp, high-definition image with stable character identity, vibrant lighting that matches the 'whimsical' prompt, and clearer inclusion of specific details like the vintage lampposts and flower boxes.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 57.594} +{"pair_id": "019_seed_310", "sample_index": 19, "seed": 310, "prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_310_A static camera captures a charming scene of a lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_310_A static camera captures a charming scene of a lit.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_310_A static camera captures a charming scene of a lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_310_A static camera captures a charming scene of a lit.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Constraint Adherence (Static vs. Moving)\", \"reason_1\": \"Video 1 completely ignores the 'static camera' instruction, utilizing a backward tracking shot (dolly out) where the background moves significantly.\", \"reason_2\": \"Video 2 adheres well to the prompt, maintaining a fixed camera position while the subjects move away from the lens.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Attribute Fidelity (Girl & Dog)\", \"reason_1\": \"Video 1 renders the girl's yellow raincoat and red boots with high detail and realistic texture. The dog is also well-defined.\", \"reason_2\": \"Video 2 includes the correct attributes, but the rendering is flatter and less detailed; the dog appears somewhat generic and lacks the 'fluffy' texture definition seen in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Detail (Street & Decor)\", \"reason_1\": \"Video 1 creates a highly detailed, picturesque street with distinct cobblestones and vibrant window boxes, matching the 'storybook' description well.\", \"reason_2\": \"Video 2 depicts the environment correctly, but the textures are blurrier and the depth of the street feels less expansive.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 wins this category primarily because it respects the 'static camera' constraint, whereas Video 1 ignores it completely. However, Video 1 is more accurate in rendering the specific textures and attributes of the subjects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-resolution textures on the clothing, hair, and cobblestones.\", \"reason_2\": \"The image is soft, blurry, and lacks fine detail, resembling a lower-resolution generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity & Facial Stability\", \"reason_1\": \"The girl's face remains consistent and recognizable throughout the clip, maintaining a pleasant expression.\", \"reason_2\": \"The girl's face suffers from significant distortion and morphing artifacts as she moves, losing identity consistency.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The running motion is fluid and energetic, though there is some minor 'sliding' of feet on the ground.\", \"reason_2\": \"The motion is somewhat jerky and the dog's movement feels floaty and disconnected from the ground.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 dominates this category with high-definition clarity, stable subject identity, and smooth motion. Video 2 appears low-resolution with noticeable artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Shadows\", \"reason_1\": \"Video 1 beautifully renders the 'sunlight filtering through leaves' and 'playful shadows' requested in the prompt, creating a warm, whimsical mood.\", \"reason_2\": \"Video 2 has flat, uniform lighting that fails to evoke the specific atmospheric depth described in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition, color grading, and clarity make for a highly aesthetically pleasing video.\", \"reason_2\": \"The visual appeal is low due to the blurriness and lack of dynamic lighting.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Energy (Joyful Stroll)\", \"reason_1\": \"The girl's expression and energetic movement effectively convey the 'joyful' and 'charming' narrative.\", \"reason_2\": \"The narrative is present, but the lack of facial detail and flat lighting dampens the emotional impact.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the 'whimsical' and 'charming' atmosphere much better through superior lighting and color grading, creating a professional cinematic look.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its vastly superior visual fidelity, lighting, and aesthetic appeal. While Video 2 adheres strictly to the 'static camera' constraint, it suffers from low resolution, facial distortion, and flat lighting. Video 1 provides a high-quality, cinematic interpretation with beautiful lighting and stable subject consistency, which outweighs its deviation from the camera movement instruction.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Constraint Adherence (Static vs. Moving)", "reason_1": "Video 1 completely ignores the 'static camera' instruction, utilizing a backward tracking shot (dolly out) where the background moves significantly.", "reason_2": "Video 2 adheres well to the prompt, maintaining a fixed camera position while the subjects move away from the lens.", "score_1": 1, "score_2": 9}, {"name": "Subject Attribute Fidelity (Girl & Dog)", "reason_1": "Video 1 renders the girl's yellow raincoat and red boots with high detail and realistic texture. The dog is also well-defined.", "reason_2": "Video 2 includes the correct attributes, but the rendering is flatter and less detailed; the dog appears somewhat generic and lacks the 'fluffy' texture definition seen in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Environmental Detail (Street & Decor)", "reason_1": "Video 1 creates a highly detailed, picturesque street with distinct cobblestones and vibrant window boxes, matching the 'storybook' description well.", "reason_2": "Video 2 depicts the environment correctly, but the textures are blurrier and the depth of the street feels less expansive.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 wins this category primarily because it respects the 'static camera' constraint, whereas Video 1 ignores it completely. However, Video 1 is more accurate in rendering the specific textures and attributes of the subjects.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-resolution textures on the clothing, hair, and cobblestones.", "reason_2": "The image is soft, blurry, and lacks fine detail, resembling a lower-resolution generation.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity & Facial Stability", "reason_1": "The girl's face remains consistent and recognizable throughout the clip, maintaining a pleasant expression.", "reason_2": "The girl's face suffers from significant distortion and morphing artifacts as she moves, losing identity consistency.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The running motion is fluid and energetic, though there is some minor 'sliding' of feet on the ground.", "reason_2": "The motion is somewhat jerky and the dog's movement feels floaty and disconnected from the ground.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 dominates this category with high-definition clarity, stable subject identity, and smooth motion. Video 2 appears low-resolution with noticeable artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Shadows", "reason_1": "Video 1 beautifully renders the 'sunlight filtering through leaves' and 'playful shadows' requested in the prompt, creating a warm, whimsical mood.", "reason_2": "Video 2 has flat, uniform lighting that fails to evoke the specific atmospheric depth described in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Overall Visual Appeal", "reason_1": "The composition, color grading, and clarity make for a highly aesthetically pleasing video.", "reason_2": "The visual appeal is low due to the blurriness and lack of dynamic lighting.", "score_1": 8, "score_2": 2}, {"name": "Narrative Energy (Joyful Stroll)", "reason_1": "The girl's expression and energetic movement effectively convey the 'joyful' and 'charming' narrative.", "reason_2": "The narrative is present, but the lack of facial detail and flat lighting dampens the emotional impact.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the 'whimsical' and 'charming' atmosphere much better through superior lighting and color grading, creating a professional cinematic look.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its vastly superior visual fidelity, lighting, and aesthetic appeal. While Video 2 adheres strictly to the 'static camera' constraint, it suffers from low resolution, facial distortion, and flat lighting. Video 1 provides a high-quality, cinematic interpretation with beautiful lighting and stable subject consistency, which outweighs its deviation from the camera movement instruction.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 62.0, "total_score_2": 28.0, "elapsed_sec": 56.945} +{"pair_id": "019_seed_930", "sample_index": 19, "seed": 930, "prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Constraint Adherence (Static vs. Moving)\", \"reason_1\": \"Video 1 completely ignores the 'static camera' instruction, utilizing a backward tracking shot (dolly) that follows the subject.\", \"reason_2\": \"Video 2 also fails the 'static camera' instruction, utilizing a similar backward tracking movement to keep the subject centered.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Attribute Fidelity (Attire & Features)\", \"reason_1\": \"Video 1 renders the yellow raincoat and red boots with high-quality texture and realistic folds. The girl's curly hair is distinct and detailed.\", \"reason_2\": \"Video 2 includes the correct colors, but the raincoat lacks texture definition, appearing flat and plastic-like compared to Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Detail (Flora & Architecture)\", \"reason_1\": \"Video 1 accurately depicts the cobblestones, vintage lampposts, and flower boxes with sharp detail.\", \"reason_2\": \"Video 2 contains the required elements, but the background details (flowers, buildings) are softer and less defined.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Both videos fail the 'static camera' constraint, but Video 1 renders the specific attributes (raincoat texture, cobblestone details) with greater fidelity to the 'storybook' description.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with clear definition in the hair strands, fabric textures, and stone surfaces.\", \"reason_2\": \"The overall image is soft and lacks high-frequency detail, giving it a lower-resolution appearance.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity & Facial Stability\", \"reason_1\": \"The girl's face remains consistent and recognizable throughout the clip, maintaining a pleasant expression.\", \"reason_2\": \"The girl's facial features shift and morph slightly between frames, lacking the temporal consistency of Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Physics (Gait & Grounding)\", \"reason_1\": \"The walking motion feels relatively grounded, though there is some minor foot sliding.\", \"reason_2\": \"The motion feels 'floaty,' with the subjects appearing to glide over the cobblestones rather than step on them.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 is significantly sharper and more stable. Video 2 suffers from a 'soft' focus look and noticeable morphing of the girl's facial features.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Sunlight & Shadows)\", \"reason_1\": \"Video 1 successfully renders the 'sunlight filtering through leaves' and 'playful shadows' requested in the prompt, creating depth.\", \"reason_2\": \"Video 2 has flat, even lighting that fails to capture the dynamic shadows or the specific atmospheric mood described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are vibrant and well-balanced, enhancing the 'charming' and 'storybook' aesthetic.\", \"reason_2\": \"The color palette is somewhat washed out and lacks the vibrancy seen in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The clip looks like a high-quality cinematic production with professional color grading.\", \"reason_2\": \"The clip resembles a lower-quality generation with less artistic merit.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'whimsical' and 'picturesque' atmosphere much better through superior lighting and color grading.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates superior visual fidelity, texture rendering, and lighting quality compared to Video 2. While both videos fail the 'static camera' constraint (both utilize a backward tracking shot), Video 1 excels in capturing the 'storybook' atmosphere with sharper details, more realistic clothing textures, and better lighting effects. Video 2 suffers from lower resolution, facial instability, and a flatter color palette.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Constraint Adherence (Static vs. Moving)", "reason_1": "Video 1 completely ignores the 'static camera' instruction, utilizing a backward tracking shot (dolly) that follows the subject.", "reason_2": "Video 2 also fails the 'static camera' instruction, utilizing a similar backward tracking movement to keep the subject centered.", "score_1": 5, "score_2": 5}, {"name": "Subject Attribute Fidelity (Attire & Features)", "reason_1": "Video 1 renders the yellow raincoat and red boots with high-quality texture and realistic folds. The girl's curly hair is distinct and detailed.", "reason_2": "Video 2 includes the correct colors, but the raincoat lacks texture definition, appearing flat and plastic-like compared to Video 1.", "score_1": 7, "score_2": 3}, {"name": "Environmental Detail (Flora & Architecture)", "reason_1": "Video 1 accurately depicts the cobblestones, vintage lampposts, and flower boxes with sharp detail.", "reason_2": "Video 2 contains the required elements, but the background details (flowers, buildings) are softer and less defined.", "score_1": 6, "score_2": 4}], "cat_reason": "Both videos fail the 'static camera' constraint, but Video 1 renders the specific attributes (raincoat texture, cobblestone details) with greater fidelity to the 'storybook' description.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with clear definition in the hair strands, fabric textures, and stone surfaces.", "reason_2": "The overall image is soft and lacks high-frequency detail, giving it a lower-resolution appearance.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity & Facial Stability", "reason_1": "The girl's face remains consistent and recognizable throughout the clip, maintaining a pleasant expression.", "reason_2": "The girl's facial features shift and morph slightly between frames, lacking the temporal consistency of Video 1.", "score_1": 7, "score_2": 3}, {"name": "Motion Physics (Gait & Grounding)", "reason_1": "The walking motion feels relatively grounded, though there is some minor foot sliding.", "reason_2": "The motion feels 'floaty,' with the subjects appearing to glide over the cobblestones rather than step on them.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 is significantly sharper and more stable. Video 2 suffers from a 'soft' focus look and noticeable morphing of the girl's facial features.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Sunlight & Shadows)", "reason_1": "Video 1 successfully renders the 'sunlight filtering through leaves' and 'playful shadows' requested in the prompt, creating depth.", "reason_2": "Video 2 has flat, even lighting that fails to capture the dynamic shadows or the specific atmospheric mood described.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are vibrant and well-balanced, enhancing the 'charming' and 'storybook' aesthetic.", "reason_2": "The color palette is somewhat washed out and lacks the vibrancy seen in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The clip looks like a high-quality cinematic production with professional color grading.", "reason_2": "The clip resembles a lower-quality generation with less artistic merit.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'whimsical' and 'picturesque' atmosphere much better through superior lighting and color grading.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates superior visual fidelity, texture rendering, and lighting quality compared to Video 2. While both videos fail the 'static camera' constraint (both utilize a backward tracking shot), Video 1 excels in capturing the 'storybook' atmosphere with sharper details, more realistic clothing textures, and better lighting effects. Video 2 suffers from lower resolution, facial instability, and a flatter color palette.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 62.0, "total_score_2": 28.0, "elapsed_sec": 56.423} +{"pair_id": "020_seed_42", "sample_index": 20, "seed": 42, "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Cat & Bird)\", \"reason_1\": \"Video 1 perfectly renders a 'fluffy tabby' with the requested green eyes and a realistic bluebird. The textures are distinct and accurate.\", \"reason_2\": \"Video 2 renders a cat with a spotted/rosette pattern (resembling a Bengal) rather than a standard tabby, and the bird appears somewhat plastic and artificial.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Tail Flick & Head Tilt)\", \"reason_1\": \"Video 1 captures the subtle 'tail flick' and the bird's 'inquisitive head tilt' with natural fluidity.\", \"reason_2\": \"Video 2 is largely static; the tail is visible but lacks the specific 'flicking' motion, and the bird's movement is rigid.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Rustic Bench & Lighting)\", \"reason_1\": \"The wooden bench in Video 1 has a convincing rustic texture, and the lighting creates the requested 'dappled shadows' naturally.\", \"reason_2\": \"The bench in Video 2 looks like a smooth, synthetic log, and the lighting is flat and oversaturated, missing the 'dappled' nuance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific attributes of the subjects (fluffy tabby, rustic bench) and the requested actions. Video 2 deviates on the cat's coat pattern and lacks the specific dynamic actions described.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"The fur and feathers in Video 1 are rendered with exceptional detail, reacting to light realistically.\", \"reason_2\": \"Video 2 has a 'smoothed-over' AI look; the cat's fur lacks definition, and the bird looks like a low-poly 3D model.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Biological Motion Naturalness\", \"reason_1\": \"The micro-movements of the cat's ears and the bird's head in Video 1 are biologically plausible and lifelike.\", \"reason_2\": \"The motion in Video 2 is stiff and mechanical, lacking the organic fluidity of living creatures.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 is sharp and clear with a well-defined depth of field.\", \"reason_2\": \"Video 2 appears slightly blurry and lacks the crisp definition found in Video 1.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 achieves a high level of photorealism with excellent texture rendering and natural motion. Video 2 suffers from a 'digital painting' look with lower resolution and stiff animation.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Serene yet Tense)\", \"reason_1\": \"The lighting and the intense gaze of the cat in Video 1 perfectly capture the 'serene yet tense' atmosphere.\", \"reason_2\": \"Video 2 feels flat and emotionless due to the artificial lighting and lack of expressive movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 uses a pleasing depth of field (bokeh) to isolate the subjects, enhancing the cinematic feel.\", \"reason_2\": \"Video 2 has a flatter composition with less effective separation between the subjects and the background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"The colors in Video 1 are natural and balanced, fitting a garden setting.\", \"reason_2\": \"Video 2 is oversaturated, particularly the greens and yellows, giving it a cartoonish appearance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the 'serene yet tense' atmosphere through superior composition and lighting. Video 2 feels more like a static illustration than a cinematic moment.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category, offering a highly photorealistic depiction that perfectly aligns with the prompt's descriptive details (fluffy tabby, rustic bench, dappled light). It captures the subtle biological movements (tail flick, head tilt) with natural fluidity. Video 2, while semantically correct in broad strokes, suffers from a more artificial, 'digital art' aesthetic, incorrect cat coat pattern (spots vs. tabby), and stiff, minimal motion.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Cat & Bird)", "reason_1": "Video 1 perfectly renders a 'fluffy tabby' with the requested green eyes and a realistic bluebird. The textures are distinct and accurate.", "reason_2": "Video 2 renders a cat with a spotted/rosette pattern (resembling a Bengal) rather than a standard tabby, and the bird appears somewhat plastic and artificial.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Tail Flick & Head Tilt)", "reason_1": "Video 1 captures the subtle 'tail flick' and the bird's 'inquisitive head tilt' with natural fluidity.", "reason_2": "Video 2 is largely static; the tail is visible but lacks the specific 'flicking' motion, and the bird's movement is rigid.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Rustic Bench & Lighting)", "reason_1": "The wooden bench in Video 1 has a convincing rustic texture, and the lighting creates the requested 'dappled shadows' naturally.", "reason_2": "The bench in Video 2 looks like a smooth, synthetic log, and the lighting is flat and oversaturated, missing the 'dappled' nuance.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific attributes of the subjects (fluffy tabby, rustic bench) and the requested actions. Video 2 deviates on the cat's coat pattern and lacks the specific dynamic actions described.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Photorealistic Texture Rendering", "reason_1": "The fur and feathers in Video 1 are rendered with exceptional detail, reacting to light realistically.", "reason_2": "Video 2 has a 'smoothed-over' AI look; the cat's fur lacks definition, and the bird looks like a low-poly 3D model.", "score_1": 9, "score_2": 1}, {"name": "Biological Motion Naturalness", "reason_1": "The micro-movements of the cat's ears and the bird's head in Video 1 are biologically plausible and lifelike.", "reason_2": "The motion in Video 2 is stiff and mechanical, lacking the organic fluidity of living creatures.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 is sharp and clear with a well-defined depth of field.", "reason_2": "Video 2 appears slightly blurry and lacks the crisp definition found in Video 1.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 achieves a high level of photorealism with excellent texture rendering and natural motion. Video 2 suffers from a 'digital painting' look with lower resolution and stiff animation.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Serene yet Tense)", "reason_1": "The lighting and the intense gaze of the cat in Video 1 perfectly capture the 'serene yet tense' atmosphere.", "reason_2": "Video 2 feels flat and emotionless due to the artificial lighting and lack of expressive movement.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition & Depth", "reason_1": "Video 1 uses a pleasing depth of field (bokeh) to isolate the subjects, enhancing the cinematic feel.", "reason_2": "Video 2 has a flatter composition with less effective separation between the subjects and the background.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Grading", "reason_1": "The colors in Video 1 are natural and balanced, fitting a garden setting.", "reason_2": "Video 2 is oversaturated, particularly the greens and yellows, giving it a cartoonish appearance.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the 'serene yet tense' atmosphere through superior composition and lighting. Video 2 feels more like a static illustration than a cinematic moment.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category, offering a highly photorealistic depiction that perfectly aligns with the prompt's descriptive details (fluffy tabby, rustic bench, dappled light). It captures the subtle biological movements (tail flick, head tilt) with natural fluidity. Video 2, while semantically correct in broad strokes, suffers from a more artificial, 'digital art' aesthetic, incorrect cat coat pattern (spots vs. tabby), and stiff, minimal motion.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 64.646} +{"pair_id": "020_seed_310", "sample_index": 20, "seed": 310, "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_310_On a rustic wooden bench a fluffy tabby cat with s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_310_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_310_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_310_On a rustic wooden bench a fluffy tabby cat with s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Cat & Bird)\", \"reason_1\": \"Video 1 renders a realistic tabby cat and a recognizable bluebird with correct proportions and coloring.\", \"reason_2\": \"Video 2's cat has distorted facial features and unnatural eye geometry; the bird appears generic and lacks the specific 'vibrant' detail requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Specificity (Tail Flick & Head Tilt)\", \"reason_1\": \"Video 1 clearly depicts the cat's tail twitching and the bird's head tilting, matching the prompt's specific behavioral cues.\", \"reason_2\": \"Video 2 is largely static; the cat's tail is stiff and does not flick, and the bird's movement is minimal and stiff.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Lighting (Dappled Shadows)\", \"reason_1\": \"Video 1 features natural, soft lighting with realistic shadows on the bench, consistent with sunlight filtering through leaves.\", \"reason_2\": \"Video 2 uses harsh, high-contrast lighting that feels artificial and over-saturated, missing the 'serene' dappled effect.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately captures the specific behavioral prompts (tail flick, head tilt) and subject attributes. Video 2 fails to animate the specific actions and presents a distorted cat.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Cat's Face)\", \"reason_1\": \"The cat in Video 1 maintains a solid, logical skull structure and facial features throughout the clip.\", \"reason_2\": \"The cat in Video 2 suffers from severe hallucinations; the eyes are misaligned and the snout shape morphs unnaturally.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Realism (Fur & Feathers)\", \"reason_1\": \"Video 1 displays distinct, soft fur textures and detailed feathers, reacting naturally to the light.\", \"reason_2\": \"Video 2 has a 'plastic' or 'painted' look where textures are smoothed out and lack high-frequency detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The micro-movements in Video 1 (breathing, slight shifts) feel organic and biological.\", \"reason_2\": \"The motion in Video 2 feels like a warping still image rather than true video generation.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high photorealism and anatomical consistency. Video 2 exhibits significant AI artifacts, particularly in the cat's face, and lacks texture detail.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Serene vs. Tense)\", \"reason_1\": \"Video 1 perfectly balances the peaceful garden setting with the subtle tension of the predator-prey gaze.\", \"reason_2\": \"Video 2's harsh colors and distorted subjects create an uncanny, unsettling vibe rather than a serene one.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced composition that clearly establishes the relationship between the two subjects.\", \"reason_2\": \"Video 2's framing is acceptable but the subjects feel somewhat pasted onto the background due to lighting mismatches.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Style Consistency\", \"reason_1\": \"Video 1 maintains a consistent photorealistic style throughout.\", \"reason_2\": \"Video 2 fluctuates between a 3D render look and a digital painting, lacking stylistic coherence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the 'serene yet tense' atmosphere through natural composition and lighting. Video 2 feels uncanny and artificial.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in photorealism, anatomical accuracy, and adherence to specific motion prompts. It correctly depicts the cat's tail flicking and the bird's head tilting, whereas Video 2 suffers from severe anatomical distortions (particularly the cat's face) and a lack of dynamic movement.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Cat & Bird)", "reason_1": "Video 1 renders a realistic tabby cat and a recognizable bluebird with correct proportions and coloring.", "reason_2": "Video 2's cat has distorted facial features and unnatural eye geometry; the bird appears generic and lacks the specific 'vibrant' detail requested.", "score_1": 8, "score_2": 2}, {"name": "Action Specificity (Tail Flick & Head Tilt)", "reason_1": "Video 1 clearly depicts the cat's tail twitching and the bird's head tilting, matching the prompt's specific behavioral cues.", "reason_2": "Video 2 is largely static; the cat's tail is stiff and does not flick, and the bird's movement is minimal and stiff.", "score_1": 9, "score_2": 1}, {"name": "Environmental Lighting (Dappled Shadows)", "reason_1": "Video 1 features natural, soft lighting with realistic shadows on the bench, consistent with sunlight filtering through leaves.", "reason_2": "Video 2 uses harsh, high-contrast lighting that feels artificial and over-saturated, missing the 'serene' dappled effect.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately captures the specific behavioral prompts (tail flick, head tilt) and subject attributes. Video 2 fails to animate the specific actions and presents a distorted cat.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Cat's Face)", "reason_1": "The cat in Video 1 maintains a solid, logical skull structure and facial features throughout the clip.", "reason_2": "The cat in Video 2 suffers from severe hallucinations; the eyes are misaligned and the snout shape morphs unnaturally.", "score_1": 9, "score_2": 1}, {"name": "Texture Realism (Fur & Feathers)", "reason_1": "Video 1 displays distinct, soft fur textures and detailed feathers, reacting naturally to the light.", "reason_2": "Video 2 has a 'plastic' or 'painted' look where textures are smoothed out and lack high-frequency detail.", "score_1": 8, "score_2": 2}, {"name": "Motion Naturalness", "reason_1": "The micro-movements in Video 1 (breathing, slight shifts) feel organic and biological.", "reason_2": "The motion in Video 2 feels like a warping still image rather than true video generation.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high photorealism and anatomical consistency. Video 2 exhibits significant AI artifacts, particularly in the cat's face, and lacks texture detail.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Serene vs. Tense)", "reason_1": "Video 1 perfectly balances the peaceful garden setting with the subtle tension of the predator-prey gaze.", "reason_2": "Video 2's harsh colors and distorted subjects create an uncanny, unsettling vibe rather than a serene one.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a balanced composition that clearly establishes the relationship between the two subjects.", "reason_2": "Video 2's framing is acceptable but the subjects feel somewhat pasted onto the background due to lighting mismatches.", "score_1": 7, "score_2": 3}, {"name": "Visual Style Consistency", "reason_1": "Video 1 maintains a consistent photorealistic style throughout.", "reason_2": "Video 2 fluctuates between a 3D render look and a digital painting, lacking stylistic coherence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the 'serene yet tense' atmosphere through natural composition and lighting. Video 2 feels uncanny and artificial.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in photorealism, anatomical accuracy, and adherence to specific motion prompts. It correctly depicts the cat's tail flicking and the bird's head tilting, whereas Video 2 suffers from severe anatomical distortions (particularly the cat's face) and a lack of dynamic movement.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 58.796} +{"pair_id": "020_seed_930", "sample_index": 20, "seed": 930, "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Orientation & Gaze Logic\", \"reason_1\": \"Video 1 correctly positions the cat in profile, allowing the viewer to see its face and the 'locked gaze' directed at the bird as requested.\", \"reason_2\": \"Video 2 presents the cat from behind, completely obscuring its face, eyes, and gaze, which is a critical failure for a prompt describing specific facial features and eye contact.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Attribute Fidelity (Cat & Bird)\", \"reason_1\": \"Video 1 renders a realistic tabby cat and a bird that closely resembles a bluebird with natural coloring.\", \"reason_2\": \"Video 2 renders a bird that looks more like a Blue Jay (incorrect species attributes) and the cat's fur texture appears matted and artificial.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Lighting & Setting)\", \"reason_1\": \"Video 1 features natural, dappled sunlight and a convincing garden background.\", \"reason_2\": \"Video 2 has an oversaturated, artificial background that lacks the depth and natural lighting described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the interaction and attributes described, whereas Video 2 fails the fundamental requirement of showing the cat's gaze and facial features.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Realism\", \"reason_1\": \"The fur texture, wood grain, and lighting in Video 1 are indistinguishable from real footage.\", \"reason_2\": \"Video 2 has a 'plastic' or low-quality CGI look; the cat's fur lacks definition and the lighting is flat.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Plausibility\", \"reason_1\": \"The cat in Video 1 has correct proportions and posture.\", \"reason_2\": \"The cat in Video 2 has a somewhat distorted rear anatomy and the tail appears unnaturally thick and stiff.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"Video 1 is very static, but the subtle micro-movements are realistic.\", \"reason_2\": \"Video 2 is also largely static, but the lack of natural weight distribution makes the subjects look like placed objects rather than living creatures.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 achieves high photorealism, while Video 2 suffers from a synthetic, 'video game' aesthetic and anatomical awkwardness.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a classic profile two-shot that perfectly frames the tension and relationship between the subjects.\", \"reason_2\": \"Video 2 uses an awkward rear angle that blocks the primary subject (the cat) and disconnects the viewer from the narrative.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmosphere & Mood\", \"reason_1\": \"The lighting and color grading in Video 1 successfully evoke the 'serene yet tense' atmosphere.\", \"reason_2\": \"The harsh saturation and artificial look of Video 2 fail to convey the requested peaceful, natural mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The interaction is immediately clear and engaging.\", \"reason_2\": \"The narrative is lost because the viewer cannot see the cat's reaction or focus.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 utilizes a professional composition that enhances the narrative of the standoff, while Video 2's framing is awkward and unengaging.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it correctly interprets the spatial and anatomical requirements of the prompt, specifically showing the cat's face and gaze locked on the bird. Video 2 fails significantly by positioning the camera behind the cat, obscuring its face, eyes, and gaze entirely, which contradicts the core narrative of the prompt. Additionally, Video 1 demonstrates superior photorealism, whereas Video 2 appears artificial and oversaturated.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Orientation & Gaze Logic", "reason_1": "Video 1 correctly positions the cat in profile, allowing the viewer to see its face and the 'locked gaze' directed at the bird as requested.", "reason_2": "Video 2 presents the cat from behind, completely obscuring its face, eyes, and gaze, which is a critical failure for a prompt describing specific facial features and eye contact.", "score_1": 10, "score_2": 0}, {"name": "Attribute Fidelity (Cat & Bird)", "reason_1": "Video 1 renders a realistic tabby cat and a bird that closely resembles a bluebird with natural coloring.", "reason_2": "Video 2 renders a bird that looks more like a Blue Jay (incorrect species attributes) and the cat's fur texture appears matted and artificial.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Lighting & Setting)", "reason_1": "Video 1 features natural, dappled sunlight and a convincing garden background.", "reason_2": "Video 2 has an oversaturated, artificial background that lacks the depth and natural lighting described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the interaction and attributes described, whereas Video 2 fails the fundamental requirement of showing the cat's gaze and facial features.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Realism", "reason_1": "The fur texture, wood grain, and lighting in Video 1 are indistinguishable from real footage.", "reason_2": "Video 2 has a 'plastic' or low-quality CGI look; the cat's fur lacks definition and the lighting is flat.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Plausibility", "reason_1": "The cat in Video 1 has correct proportions and posture.", "reason_2": "The cat in Video 2 has a somewhat distorted rear anatomy and the tail appears unnaturally thick and stiff.", "score_1": 8, "score_2": 2}, {"name": "Motion Naturalness", "reason_1": "Video 1 is very static, but the subtle micro-movements are realistic.", "reason_2": "Video 2 is also largely static, but the lack of natural weight distribution makes the subjects look like placed objects rather than living creatures.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 achieves high photorealism, while Video 2 suffers from a synthetic, 'video game' aesthetic and anatomical awkwardness.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses a classic profile two-shot that perfectly frames the tension and relationship between the subjects.", "reason_2": "Video 2 uses an awkward rear angle that blocks the primary subject (the cat) and disconnects the viewer from the narrative.", "score_1": 9, "score_2": 1}, {"name": "Atmosphere & Mood", "reason_1": "The lighting and color grading in Video 1 successfully evoke the 'serene yet tense' atmosphere.", "reason_2": "The harsh saturation and artificial look of Video 2 fail to convey the requested peaceful, natural mood.", "score_1": 8, "score_2": 2}, {"name": "Narrative Clarity", "reason_1": "The interaction is immediately clear and engaging.", "reason_2": "The narrative is lost because the viewer cannot see the cat's reaction or focus.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 utilizes a professional composition that enhances the narrative of the standoff, while Video 2's framing is awkward and unengaging.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it correctly interprets the spatial and anatomical requirements of the prompt, specifically showing the cat's face and gaze locked on the bird. Video 2 fails significantly by positioning the camera behind the cat, obscuring its face, eyes, and gaze entirely, which contradicts the core narrative of the prompt. Additionally, Video 1 demonstrates superior photorealism, whereas Video 2 appears artificial and oversaturated.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 59.252} +{"pair_id": "021_seed_42", "sample_index": 21, "seed": 42, "prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_42_In a serene sunlit wetland a crocodile glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_42_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_42_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_42_In a serene sunlit wetland a crocodile glides effo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Interaction (Flight Path Intersection)\", \"reason_1\": \"The bird in Video 1 flies directly over the crocodile, creating a clear spatial relationship and 'intersection' as requested.\", \"reason_2\": \"The bird in Video 2 flies in the background and never intersects with the crocodile's path, failing the specific interaction prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Atmosphere (Sunlit & Shimmering)\", \"reason_1\": \"Video 1 features high-contrast lighting with distinct specular highlights on the water, perfectly matching the 'sunlit' and 'shimmering' description.\", \"reason_2\": \"Video 2 has flat, diffuse lighting that lacks the 'warm sunlight' and 'glistening' quality requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Crocodile & Bird)\", \"reason_1\": \"The crocodile's scales are visible and textured, and the bird is distinct. The 'powerful tail' is implied by the body position.\", \"reason_2\": \"The crocodile appears somewhat generic and lacks the detailed 'glistening scales' attribute; the bird is less defined.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific interaction and environmental lighting described in the prompt, whereas Video 2 fails to show the flight path intersection and lacks the requested lighting atmosphere.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Detail\", \"reason_1\": \"The image is sharp, with clear definition in the water ripples, crocodile skin, and background grass.\", \"reason_2\": \"The video appears soft and low-resolution, with muddy textures on the water and subjects.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Water Physics & Ripple Realism\", \"reason_1\": \"The water reacts realistically to the crocodile's movement, creating the 'mesmerizing pattern' of ripples mentioned in the prompt.\", \"reason_2\": \"The water movement is minimal and lacks the complex ripple patterns expected from a swimming crocodile.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence (Bird Flight)\", \"reason_1\": \"The bird's flight is smooth and maintains a consistent trajectory relative to the camera.\", \"reason_2\": \"The bird's motion feels slightly disconnected from the environment, appearing somewhat like a 2D overlay.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior sharpness, texture rendering, and water physics compared to the softer, lower-resolution look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing places the crocodile and bird in a balanced composition that highlights their coexistence.\", \"reason_2\": \"The wide shot feels empty, with the subjects too far apart to create a cohesive visual narrative.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are vibrant, with lush greens and deep blues that enhance the 'serene' mood.\", \"reason_2\": \"The color palette is washed out and lacks the vibrancy described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Execution (Harmonious Dance)\", \"reason_1\": \"The proximity of the bird and crocodile successfully evokes the feeling of a 'harmonious dance' of nature.\", \"reason_2\": \"Due to the distance between subjects, the narrative of a 'dance' or interaction is completely lost.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 offers a much more engaging composition that brings the viewer into the scene, effectively conveying the 'harmonious dance' of nature.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the core narrative requirement of the bird's flight path intersecting with the crocodile, creating the requested 'harmonious dance.' It also captures the 'sunlit' and 'shimmering' atmosphere with high visual fidelity. Video 2 fails to establish the spatial relationship between the subjects, placing them too far apart, and suffers from lower resolution and flatter lighting.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Interaction (Flight Path Intersection)", "reason_1": "The bird in Video 1 flies directly over the crocodile, creating a clear spatial relationship and 'intersection' as requested.", "reason_2": "The bird in Video 2 flies in the background and never intersects with the crocodile's path, failing the specific interaction prompt.", "score_1": 9, "score_2": 1}, {"name": "Environmental Atmosphere (Sunlit & Shimmering)", "reason_1": "Video 1 features high-contrast lighting with distinct specular highlights on the water, perfectly matching the 'sunlit' and 'shimmering' description.", "reason_2": "Video 2 has flat, diffuse lighting that lacks the 'warm sunlight' and 'glistening' quality requested.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Crocodile & Bird)", "reason_1": "The crocodile's scales are visible and textured, and the bird is distinct. The 'powerful tail' is implied by the body position.", "reason_2": "The crocodile appears somewhat generic and lacks the detailed 'glistening scales' attribute; the bird is less defined.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific interaction and environmental lighting described in the prompt, whereas Video 2 fails to show the flight path intersection and lacks the requested lighting atmosphere.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Detail", "reason_1": "The image is sharp, with clear definition in the water ripples, crocodile skin, and background grass.", "reason_2": "The video appears soft and low-resolution, with muddy textures on the water and subjects.", "score_1": 8, "score_2": 2}, {"name": "Water Physics & Ripple Realism", "reason_1": "The water reacts realistically to the crocodile's movement, creating the 'mesmerizing pattern' of ripples mentioned in the prompt.", "reason_2": "The water movement is minimal and lacks the complex ripple patterns expected from a swimming crocodile.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence (Bird Flight)", "reason_1": "The bird's flight is smooth and maintains a consistent trajectory relative to the camera.", "reason_2": "The bird's motion feels slightly disconnected from the environment, appearing somewhat like a 2D overlay.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior sharpness, texture rendering, and water physics compared to the softer, lower-resolution look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing places the crocodile and bird in a balanced composition that highlights their coexistence.", "reason_2": "The wide shot feels empty, with the subjects too far apart to create a cohesive visual narrative.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are vibrant, with lush greens and deep blues that enhance the 'serene' mood.", "reason_2": "The color palette is washed out and lacks the vibrancy described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Narrative Execution (Harmonious Dance)", "reason_1": "The proximity of the bird and crocodile successfully evokes the feeling of a 'harmonious dance' of nature.", "reason_2": "Due to the distance between subjects, the narrative of a 'dance' or interaction is completely lost.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 offers a much more engaging composition that brings the viewer into the scene, effectively conveying the 'harmonious dance' of nature.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the core narrative requirement of the bird's flight path intersecting with the crocodile, creating the requested 'harmonious dance.' It also captures the 'sunlit' and 'shimmering' atmosphere with high visual fidelity. Video 2 fails to establish the spatial relationship between the subjects, placing them too far apart, and suffers from lower resolution and flatter lighting.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 56.922} +{"pair_id": "021_seed_310", "sample_index": 21, "seed": 310, "prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_310_In a serene sunlit wetland a crocodile glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_310_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_310_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_310_In a serene sunlit wetland a crocodile glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Action Fidelity (Crocodile Gliding)\", \"reason_1\": \"The crocodile in Video 1 is completely static and frozen, failing to execute the 'glides effortlessly' instruction.\", \"reason_2\": \"Video 2 depicts the crocodile actively swimming with body undulation and forward momentum, aligning perfectly with the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Ripples & Patterns)\", \"reason_1\": \"Due to the lack of subject motion, there are no 'gentle ripples trailing behind its powerful tail' as requested.\", \"reason_2\": \"The movement of the crocodile in Video 2 generates realistic water displacement and ripples, fulfilling the environmental description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Interaction (Bird & Crocodile)\", \"reason_1\": \"The bird flies past a static object; there is no sense of a 'harmonious dance' or interaction.\", \"reason_2\": \"The bird flies in close proximity to the moving crocodile, creating a stronger sense of spatial relationship and interaction.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the crocodile 'gliding' and swimming, whereas Video 1 presents a static, frozen subject that fails to meet the action requirements of the prompt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Animation & Physics\", \"reason_1\": \"The crocodile is a rigid, motionless asset. It lacks any biological plausibility or physics-based movement.\", \"reason_2\": \"The crocodile moves with realistic weight and fluidity, and the water reacts naturally to its passage.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp, clear, and high-resolution with distinct details on the bird and landscape.\", \"reason_2\": \"Video 2 is significantly blurry, with low resolution and a lack of definition on the subjects.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The subjects maintain their form perfectly because they do not move.\", \"reason_2\": \"The bird in Video 2 suffers from severe morphing and shape instability during flight.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Although Video 1 is sharper, Video 2 wins this category by default because it is the only one that functions as a video with dynamic physics. Video 1 suffers from a 'frozen subject' hallucination.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a wide shot that clearly displays the wetland, the sky, and both subjects in a balanced composition.\", \"reason_2\": \"Video 2 is obstructed by out-of-focus foreground grass, which blocks the view of the crocodile and clutters the frame.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Serenity)\", \"reason_1\": \"The lighting and stillness of Video 1 effectively capture the 'serene' and 'sunlit' atmosphere described.\", \"reason_2\": \"The chaotic motion blur and obstructed view in Video 2 detract from the requested peaceful atmosphere.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Flow (The Dance)\", \"reason_1\": \"The narrative is stagnant; it feels like a photograph rather than a story of movement.\", \"reason_2\": \"The movement of the crocodile and the flight of the bird create a dynamic narrative flow that matches the 'dance of nature' description.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 1 offers a much more pleasing composition and captures the 'serene' mood better than the cluttered and blurry presentation of Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 2 is the winner because it successfully generates the core dynamic action required by the prompt: the crocodile actually glides through the water, creating ripples and interacting with the environment. Video 1, while visually sharper and cleaner, fails fundamentally as a video generation; the crocodile is a completely static, frozen object with no animation, resembling a still image with a moving bird overlay. Video 2 captures the 'harmonious dance' and physical movement, which is the essence of the prompt, despite its lower resolution and morphological instability.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Action Fidelity (Crocodile Gliding)", "reason_1": "The crocodile in Video 1 is completely static and frozen, failing to execute the 'glides effortlessly' instruction.", "reason_2": "Video 2 depicts the crocodile actively swimming with body undulation and forward momentum, aligning perfectly with the prompt.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Ripples & Patterns)", "reason_1": "Due to the lack of subject motion, there are no 'gentle ripples trailing behind its powerful tail' as requested.", "reason_2": "The movement of the crocodile in Video 2 generates realistic water displacement and ripples, fulfilling the environmental description.", "score_1": 2, "score_2": 8}, {"name": "Subject Interaction (Bird & Crocodile)", "reason_1": "The bird flies past a static object; there is no sense of a 'harmonious dance' or interaction.", "reason_2": "The bird flies in close proximity to the moving crocodile, creating a stronger sense of spatial relationship and interaction.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the crocodile 'gliding' and swimming, whereas Video 1 presents a static, frozen subject that fails to meet the action requirements of the prompt.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Animation & Physics", "reason_1": "The crocodile is a rigid, motionless asset. It lacks any biological plausibility or physics-based movement.", "reason_2": "The crocodile moves with realistic weight and fluidity, and the water reacts naturally to its passage.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp, clear, and high-resolution with distinct details on the bird and landscape.", "reason_2": "Video 2 is significantly blurry, with low resolution and a lack of definition on the subjects.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "The subjects maintain their form perfectly because they do not move.", "reason_2": "The bird in Video 2 suffers from severe morphing and shape instability during flight.", "score_1": 8, "score_2": 2}], "cat_reason": "Although Video 1 is sharper, Video 2 wins this category by default because it is the only one that functions as a video with dynamic physics. Video 1 suffers from a 'frozen subject' hallucination.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses a wide shot that clearly displays the wetland, the sky, and both subjects in a balanced composition.", "reason_2": "Video 2 is obstructed by out-of-focus foreground grass, which blocks the view of the crocodile and clutters the frame.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Serenity)", "reason_1": "The lighting and stillness of Video 1 effectively capture the 'serene' and 'sunlit' atmosphere described.", "reason_2": "The chaotic motion blur and obstructed view in Video 2 detract from the requested peaceful atmosphere.", "score_1": 7, "score_2": 3}, {"name": "Narrative Flow (The Dance)", "reason_1": "The narrative is stagnant; it feels like a photograph rather than a story of movement.", "reason_2": "The movement of the crocodile and the flight of the bird create a dynamic narrative flow that matches the 'dance of nature' description.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 1 offers a much more pleasing composition and captures the 'serene' mood better than the cluttered and blurry presentation of Video 2.", "cat_winner": "Video 1"}], "reason": "Video 2 is the winner because it successfully generates the core dynamic action required by the prompt: the crocodile actually glides through the water, creating ripples and interacting with the environment. Video 1, while visually sharper and cleaner, fails fundamentally as a video generation; the crocodile is a completely static, frozen object with no animation, resembling a still image with a moving bird overlay. Video 2 captures the 'harmonious dance' and physical movement, which is the essence of the prompt, despite its lower resolution and morphological instability.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 43.0, "total_score_2": 47.0, "elapsed_sec": 61.325} +{"pair_id": "021_seed_930", "sample_index": 21, "seed": 930, "prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Action Fidelity (Gliding vs. Swimming)\", \"reason_1\": \"The crocodile in Video 1 is perfectly still, failing the prompt's instruction to 'glide effortlessly'.\", \"reason_2\": \"Video 2 depicts the crocodile actively swimming and gliding through the water, aligning well with the prompt's action verb.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Sunlit & Shimmering)\", \"reason_1\": \"Video 1 features a sunset/dusk palette with darker tones, missing the 'sunlit' and 'shimmering' descriptors.\", \"reason_2\": \"Video 2 captures the 'sunlit' and 'shimmering' water surface accurately, creating the requested warm atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Interaction (Flight Path Intersection)\", \"reason_1\": \"The bird flies in the background, far from the crocodile, lacking the requested 'intersection' or 'dance'.\", \"reason_2\": \"The bird flies directly over the crocodile, creating a closer spatial relationship that better approximates the requested interaction.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly interprets the prompt's action verbs and environmental descriptors, whereas Video 1 fails to animate the crocodile and misses the lighting cues.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The subjects in Video 1 maintain perfect structural integrity throughout the clip.\", \"reason_2\": \"The bird in Video 2 suffers from severe morphing and shape distortion during flight, breaking realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Physics & Fluidity\", \"reason_1\": \"Video 1 lacks dynamic motion; the crocodile is frozen, making the scene feel like a cinemagraph.\", \"reason_2\": \"Video 2 displays realistic water displacement and swimming physics, despite the artifacts on the bird.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Texture Resolution\", \"reason_1\": \"Video 1 is sharp, clear, and high-resolution with defined textures.\", \"reason_2\": \"Video 2 appears blurry, low-resolution, and lacks fine texture detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is technically superior in terms of image sharpness and subject stability, while Video 2 suffers from significant morphing artifacts on the bird.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 utilizes a balanced wide shot with excellent framing of the subjects and environment.\", \"reason_2\": \"Video 2 has a cluttered composition with foreground grass obscuring the view and a less deliberate framing.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Energy (The 'Dance' of Nature)\", \"reason_1\": \"The lack of movement in Video 1 results in a static scene devoid of the requested narrative energy.\", \"reason_2\": \"The movement of the crocodile and the proximity of the bird in Video 2 successfully convey the 'harmonious dance' described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is aesthetically pleasing and looks like a professional photograph.\", \"reason_2\": \"Video 2 is visually messy and suffers from digital artifacts that detract from its appeal.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers a much more pleasing composition and professional look, whereas Video 2 is cluttered and visually chaotic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 2 is the winner because it successfully executes the core dynamic requirements of the prompt, specifically the crocodile 'gliding' through the water and the 'sunlit' atmosphere. While Video 1 offers superior image resolution and stability, it fails semantically by presenting a static, frozen crocodile and a darker, dusk-like environment that contradicts the 'sunlit' and 'gliding' instructions. Video 2 captures the requested narrative action and lighting, despite suffering from lower resolution and some morphological instability in the bird.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Action Fidelity (Gliding vs. Swimming)", "reason_1": "The crocodile in Video 1 is perfectly still, failing the prompt's instruction to 'glide effortlessly'.", "reason_2": "Video 2 depicts the crocodile actively swimming and gliding through the water, aligning well with the prompt's action verb.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Sunlit & Shimmering)", "reason_1": "Video 1 features a sunset/dusk palette with darker tones, missing the 'sunlit' and 'shimmering' descriptors.", "reason_2": "Video 2 captures the 'sunlit' and 'shimmering' water surface accurately, creating the requested warm atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Subject Interaction (Flight Path Intersection)", "reason_1": "The bird flies in the background, far from the crocodile, lacking the requested 'intersection' or 'dance'.", "reason_2": "The bird flies directly over the crocodile, creating a closer spatial relationship that better approximates the requested interaction.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly interprets the prompt's action verbs and environmental descriptors, whereas Video 1 fails to animate the crocodile and misses the lighting cues.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "The subjects in Video 1 maintain perfect structural integrity throughout the clip.", "reason_2": "The bird in Video 2 suffers from severe morphing and shape distortion during flight, breaking realism.", "score_1": 9, "score_2": 1}, {"name": "Motion Physics & Fluidity", "reason_1": "Video 1 lacks dynamic motion; the crocodile is frozen, making the scene feel like a cinemagraph.", "reason_2": "Video 2 displays realistic water displacement and swimming physics, despite the artifacts on the bird.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Texture Resolution", "reason_1": "Video 1 is sharp, clear, and high-resolution with defined textures.", "reason_2": "Video 2 appears blurry, low-resolution, and lacks fine texture detail.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is technically superior in terms of image sharpness and subject stability, while Video 2 suffers from significant morphing artifacts on the bird.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 utilizes a balanced wide shot with excellent framing of the subjects and environment.", "reason_2": "Video 2 has a cluttered composition with foreground grass obscuring the view and a less deliberate framing.", "score_1": 8, "score_2": 2}, {"name": "Narrative Energy (The 'Dance' of Nature)", "reason_1": "The lack of movement in Video 1 results in a static scene devoid of the requested narrative energy.", "reason_2": "The movement of the crocodile and the proximity of the bird in Video 2 successfully convey the 'harmonious dance' described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is aesthetically pleasing and looks like a professional photograph.", "reason_2": "Video 2 is visually messy and suffers from digital artifacts that detract from its appeal.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers a much more pleasing composition and professional look, whereas Video 2 is cluttered and visually chaotic.", "cat_winner": "Video 1"}], "reason": "Video 2 is the winner because it successfully executes the core dynamic requirements of the prompt, specifically the crocodile 'gliding' through the water and the 'sunlit' atmosphere. While Video 1 offers superior image resolution and stability, it fails semantically by presenting a static, frozen crocodile and a darker, dusk-like environment that contradicts the 'sunlit' and 'gliding' instructions. Video 2 captures the requested narrative action and lighting, despite suffering from lower resolution and some morphological instability in the bird.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 47.0, "total_score_2": 43.0, "elapsed_sec": 74.576} +{"pair_id": "022_seed_42", "sample_index": 22, "seed": 42, "prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_42_A close-up view reveals an elegantly set restauran.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_42_A close-up view reveals an elegantly set restauran.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_42_A close-up view reveals an elegantly set restauran.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_42_A close-up view reveals an elegantly set restauran.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Wine Color)\", \"reason_1\": \"Video 1 correctly renders the 'deep red wine' specified in the prompt.\", \"reason_2\": \"Video 2 completely fails this instruction, rendering a glass of white or champagne-colored liquid.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Subject Completeness (Candle & Bread)\", \"reason_1\": \"Video 1 clearly displays the flickering candle and the bread basket as requested.\", \"reason_2\": \"Video 2 fails to show the candle clearly and the bread basket is distorted and difficult to identify.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Food Presentation Accuracy\", \"reason_1\": \"The steak, fries, and salad are distinct, well-plated, and match the 'elegantly set' description.\", \"reason_2\": \"The food items are present but the presentation is messy, and the fries appear to be morphing into the bread basket.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 followed all specific attribute instructions, particularly the color of the wine and the presence of the candle. Video 2 failed a major attribute check by generating white wine instead of red.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"All objects maintain their shape and solidity throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the bread basket and fries melt and shift shape unnaturally during the camera move.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Textures of the meat glaze, lettuce, and glass are sharp and realistic.\", \"reason_2\": \"The image is softer, and textures (especially the bread and basket) look plastic and generated.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction\", \"reason_1\": \"The lighting realistically reflects off the wine glass and the glaze on the steak.\", \"reason_2\": \"Lighting is flat and does not interact convincingly with the moving objects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 suffers from significant morphological instability, where objects warp and change shape during the camera movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Warmth & Glow)\", \"reason_1\": \"The video successfully captures the 'warm, inviting glow' requested, creating a cozy dining atmosphere.\", \"reason_2\": \"The lighting is cooler and more clinical, lacking the inviting warmth described in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, showcasing the feast effectively in a close-up view.\", \"reason_2\": \"The camera movement feels aimless and the framing cuts off key elements awkwardly.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Appetizing Appeal\", \"reason_1\": \"The food looks delicious and high-quality, fitting the 'sumptuous feast' description.\", \"reason_2\": \"The morphing food and incorrect wine color make the scene unappetizing.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the 'warm, inviting glow' and elegant atmosphere perfectly. Video 2 feels colder and the chaotic camera movement detracts from the dining aesthetic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to all semantic details of the prompt, specifically correctly rendering the 'deep red wine' and the 'flickering candle,' both of which Video 2 fails to do (showing white wine and no clear candle). Furthermore, Video 1 maintains superior object stability, whereas Video 2 suffers from severe morphing artifacts where the bread basket and fries distort unnaturally.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Wine Color)", "reason_1": "Video 1 correctly renders the 'deep red wine' specified in the prompt.", "reason_2": "Video 2 completely fails this instruction, rendering a glass of white or champagne-colored liquid.", "score_1": 10, "score_2": 0}, {"name": "Subject Completeness (Candle & Bread)", "reason_1": "Video 1 clearly displays the flickering candle and the bread basket as requested.", "reason_2": "Video 2 fails to show the candle clearly and the bread basket is distorted and difficult to identify.", "score_1": 9, "score_2": 1}, {"name": "Food Presentation Accuracy", "reason_1": "The steak, fries, and salad are distinct, well-plated, and match the 'elegantly set' description.", "reason_2": "The food items are present but the presentation is messy, and the fries appear to be morphing into the bread basket.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 followed all specific attribute instructions, particularly the color of the wine and the presence of the candle. Video 2 failed a major attribute check by generating white wine instead of red.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "All objects maintain their shape and solidity throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the bread basket and fries melt and shift shape unnaturally during the camera move.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Textures of the meat glaze, lettuce, and glass are sharp and realistic.", "reason_2": "The image is softer, and textures (especially the bread and basket) look plastic and generated.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction", "reason_1": "The lighting realistically reflects off the wine glass and the glaze on the steak.", "reason_2": "Lighting is flat and does not interact convincingly with the moving objects.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 suffers from significant morphological instability, where objects warp and change shape during the camera movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Warmth & Glow)", "reason_1": "The video successfully captures the 'warm, inviting glow' requested, creating a cozy dining atmosphere.", "reason_2": "The lighting is cooler and more clinical, lacking the inviting warmth described in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The framing is balanced, showcasing the feast effectively in a close-up view.", "reason_2": "The camera movement feels aimless and the framing cuts off key elements awkwardly.", "score_1": 8, "score_2": 2}, {"name": "Appetizing Appeal", "reason_1": "The food looks delicious and high-quality, fitting the 'sumptuous feast' description.", "reason_2": "The morphing food and incorrect wine color make the scene unappetizing.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the 'warm, inviting glow' and elegant atmosphere perfectly. Video 2 feels colder and the chaotic camera movement detracts from the dining aesthetic.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to all semantic details of the prompt, specifically correctly rendering the 'deep red wine' and the 'flickering candle,' both of which Video 2 fails to do (showing white wine and no clear candle). Furthermore, Video 1 maintains superior object stability, whereas Video 2 suffers from severe morphing artifacts where the bread basket and fries distort unnaturally.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 52.81} +{"pair_id": "022_seed_310", "sample_index": 22, "seed": 310, "prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_310_A close-up view reveals an elegantly set restauran.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_310_A close-up view reveals an elegantly set restauran.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_310_A close-up view reveals an elegantly set restauran.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_310_A close-up view reveals an elegantly set restauran.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Steak & Fries)\", \"reason_1\": \"The steak in Video 1 is rendered with a realistic 'glistening glaze' and char, and the fries appear golden and crispy as requested.\", \"reason_2\": \"The steak in Video 2 appears dry with artificial white speckles (resembling snow or noise) rather than Parmesan, and the fries lack the requested crispy texture.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Scene Completeness & Spatial Logic\", \"reason_1\": \"Video 1 presents a cohesive table setting where the steak, salad, bread, and wine are arranged logically in a single frame.\", \"reason_2\": \"Video 2 fragments the scene into disjointed close-ups, making it difficult to perceive the spatial relationship between the bread basket, the steak, and the wine.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Lighting (Candle Glow)\", \"reason_1\": \"Video 1 successfully integrates the flickering candle to cast a warm, ambient glow over the entire table, matching the prompt's mood.\", \"reason_2\": \"Video 2 features a candle, but the lighting feels flatter and less integrated into the scene's overall atmosphere.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts all requested food items with the correct textures and attributes in a single, logical arrangement. Video 2 struggles with the specific attributes of the steak and the spatial relationship between items.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Realism & Materiality\", \"reason_1\": \"The textures of the meat, bread, and glass in Video 1 are indistinguishable from reality.\", \"reason_2\": \"The food in Video 2 has a smooth, plastic-like appearance typical of lower-quality AI generation, lacking organic detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability & Focus\", \"reason_1\": \"Video 1 maintains perfect stability and focus throughout the clip.\", \"reason_2\": \"Video 2 suffers from aggressive and erratic focus breathing, causing the image to blur and shift uncomfortably.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is crisp, sharp, and high-resolution.\", \"reason_2\": \"The video is soft, blurry, and lacks definition, particularly on the food items.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 achieves photorealistic quality with stable visuals. Video 2 exhibits significant AI artifacts, unnatural textures, and distracting focus hunting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, capturing the 'sumptuous feast' effectively with a pleasing angle.\", \"reason_2\": \"The framing is awkward, cutting off parts of the food and jumping between angles without a clear focal point.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Appetizing Appeal\", \"reason_1\": \"The food looks delicious and inviting, fulfilling the aesthetic goal of a food showcase.\", \"reason_2\": \"The artificial look and strange textures make the food appear unappetizing.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera is static, which is safe but lacks dynamic interest.\", \"reason_2\": \"Video 2 attempts camera movement (pans/tilts), but the execution is jerky and disorienting, detracting from the viewing experience.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 offers a professional, appetizing composition suitable for a food commercial. Video 2's chaotic camera work and poor framing reduce its aesthetic value.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism, accurate rendering of food textures, and logical spatial arrangement of the table setting. It perfectly captures the 'glistening' steak and 'crispy' fries described in the prompt. Video 2, while attempting camera movement, suffers from artificial textures, erratic focus shifts, and a disjointed composition that fails to present the feast cohesively.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Steak & Fries)", "reason_1": "The steak in Video 1 is rendered with a realistic 'glistening glaze' and char, and the fries appear golden and crispy as requested.", "reason_2": "The steak in Video 2 appears dry with artificial white speckles (resembling snow or noise) rather than Parmesan, and the fries lack the requested crispy texture.", "score_1": 9, "score_2": 1}, {"name": "Scene Completeness & Spatial Logic", "reason_1": "Video 1 presents a cohesive table setting where the steak, salad, bread, and wine are arranged logically in a single frame.", "reason_2": "Video 2 fragments the scene into disjointed close-ups, making it difficult to perceive the spatial relationship between the bread basket, the steak, and the wine.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Lighting (Candle Glow)", "reason_1": "Video 1 successfully integrates the flickering candle to cast a warm, ambient glow over the entire table, matching the prompt's mood.", "reason_2": "Video 2 features a candle, but the lighting feels flatter and less integrated into the scene's overall atmosphere.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts all requested food items with the correct textures and attributes in a single, logical arrangement. Video 2 struggles with the specific attributes of the steak and the spatial relationship between items.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Realism & Materiality", "reason_1": "The textures of the meat, bread, and glass in Video 1 are indistinguishable from reality.", "reason_2": "The food in Video 2 has a smooth, plastic-like appearance typical of lower-quality AI generation, lacking organic detail.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability & Focus", "reason_1": "Video 1 maintains perfect stability and focus throughout the clip.", "reason_2": "Video 2 suffers from aggressive and erratic focus breathing, causing the image to blur and shift uncomfortably.", "score_1": 9, "score_2": 1}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is crisp, sharp, and high-resolution.", "reason_2": "The video is soft, blurry, and lacks definition, particularly on the food items.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 achieves photorealistic quality with stable visuals. Video 2 exhibits significant AI artifacts, unnatural textures, and distracting focus hunting.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is balanced, capturing the 'sumptuous feast' effectively with a pleasing angle.", "reason_2": "The framing is awkward, cutting off parts of the food and jumping between angles without a clear focal point.", "score_1": 8, "score_2": 2}, {"name": "Appetizing Appeal", "reason_1": "The food looks delicious and inviting, fulfilling the aesthetic goal of a food showcase.", "reason_2": "The artificial look and strange textures make the food appear unappetizing.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Quality", "reason_1": "The camera is static, which is safe but lacks dynamic interest.", "reason_2": "Video 2 attempts camera movement (pans/tilts), but the execution is jerky and disorienting, detracting from the viewing experience.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 offers a professional, appetizing composition suitable for a food commercial. Video 2's chaotic camera work and poor framing reduce its aesthetic value.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism, accurate rendering of food textures, and logical spatial arrangement of the table setting. It perfectly captures the 'glistening' steak and 'crispy' fries described in the prompt. Video 2, while attempting camera movement, suffers from artificial textures, erratic focus shifts, and a disjointed composition that fails to present the feast cohesively.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 56.27} +{"pair_id": "022_seed_930", "sample_index": 22, "seed": 930, "prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Object Inventory Completeness\", \"reason_1\": \"Video 1 successfully includes the steak, fries, salad, bread, wine, and candle, though the 'butter' is ambiguous (possibly the white dish).\", \"reason_2\": \"Video 2 also includes all major items, but the 'butter' is also ambiguous (appears as a white dish or candle holder). Both are equal in object presence.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Textures & Colors)\", \"reason_1\": \"The steak in Video 1 has a realistic 'glistening glaze' and the fries look 'golden and crispy' as requested.\", \"reason_2\": \"The steak in Video 2 looks dark, oily, and burnt rather than perfectly cooked; the fries lack the requested golden crispiness.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Spatial Arrangement & Logic\", \"reason_1\": \"The layout is logical and elegant, with the wine glass and candle placed naturally relative to the main dish.\", \"reason_2\": \"The arrangement feels cluttered, and the camera angle makes the spatial relationship between the bread basket and the main plate feel awkward.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the specific textural attributes (glistening glaze, golden fries) much better than Video 2. While both videos contain the required objects, Video 1 arranges them in a more logical and 'elegant' manner consistent with the prompt's description.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high-resolution details visible in the lettuce leaves and the texture of the bread.\", \"reason_2\": \"The video is noticeably blurry and soft, lacking fine detail, resembling a lower-quality generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Reflection Physics\", \"reason_1\": \"The wine glass accurately reflects the environment and the candlelight, creating realistic refraction.\", \"reason_2\": \"The lighting is flat and dull; the wine glass lacks complex reflections, and the candle flame looks artificial.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Stability\", \"reason_1\": \"The video maintains consistent focus and object solidity throughout the camera movement.\", \"reason_2\": \"There is noticeable jitter and slight morphing in the background elements as the camera moves.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade visual fidelity with sharp focus and realistic lighting physics. Video 2 appears low-resolution, blurry, and lacks the dynamic range to make the food look appetizing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Culinary Aesthetics (Appetizing Appeal)\", \"reason_1\": \"The food looks delicious and high-end, perfectly fitting the 'elegantly set' description.\", \"reason_2\": \"The food looks unappealing, dark, and greasy, failing to evoke the 'sumptuous feast' vibe.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"Features a smooth, cinematic pan that reveals the table setting gradually and elegantly.\", \"reason_2\": \"The camera movement is shaky and erratic, detracting from the viewing experience.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Warmth & Glow)\", \"reason_1\": \"Successfully establishes a warm, inviting mood through lighting and color grading.\", \"reason_2\": \"The atmosphere feels cold and clinical due to the harsh white tablecloth and lack of warm ambient lighting.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 succeeds in creating an 'inviting' and 'elegant' atmosphere through smooth camera work and appetizing presentation. Video 2 fails aesthetically due to poor lighting and unappealing food rendering.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is significantly superior in terms of visual fidelity, lighting, and aesthetic appeal. It accurately renders the textures of the food (glistening steak, crisp fries) and creates a warm, inviting atmosphere with high-quality reflections in the wine glass. Video 2 suffers from lower resolution, poor lighting, and unappetizing food textures, failing to capture the 'elegance' requested in the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Object Inventory Completeness", "reason_1": "Video 1 successfully includes the steak, fries, salad, bread, wine, and candle, though the 'butter' is ambiguous (possibly the white dish).", "reason_2": "Video 2 also includes all major items, but the 'butter' is also ambiguous (appears as a white dish or candle holder). Both are equal in object presence.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Textures & Colors)", "reason_1": "The steak in Video 1 has a realistic 'glistening glaze' and the fries look 'golden and crispy' as requested.", "reason_2": "The steak in Video 2 looks dark, oily, and burnt rather than perfectly cooked; the fries lack the requested golden crispiness.", "score_1": 8, "score_2": 2}, {"name": "Spatial Arrangement & Logic", "reason_1": "The layout is logical and elegant, with the wine glass and candle placed naturally relative to the main dish.", "reason_2": "The arrangement feels cluttered, and the camera angle makes the spatial relationship between the bread basket and the main plate feel awkward.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the specific textural attributes (glistening glaze, golden fries) much better than Video 2. While both videos contain the required objects, Video 1 arranges them in a more logical and 'elegant' manner consistent with the prompt's description.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high-resolution details visible in the lettuce leaves and the texture of the bread.", "reason_2": "The video is noticeably blurry and soft, lacking fine detail, resembling a lower-quality generation.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Reflection Physics", "reason_1": "The wine glass accurately reflects the environment and the candlelight, creating realistic refraction.", "reason_2": "The lighting is flat and dull; the wine glass lacks complex reflections, and the candle flame looks artificial.", "score_1": 8, "score_2": 2}, {"name": "Temporal Stability", "reason_1": "The video maintains consistent focus and object solidity throughout the camera movement.", "reason_2": "There is noticeable jitter and slight morphing in the background elements as the camera moves.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade visual fidelity with sharp focus and realistic lighting physics. Video 2 appears low-resolution, blurry, and lacks the dynamic range to make the food look appetizing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Culinary Aesthetics (Appetizing Appeal)", "reason_1": "The food looks delicious and high-end, perfectly fitting the 'elegantly set' description.", "reason_2": "The food looks unappealing, dark, and greasy, failing to evoke the 'sumptuous feast' vibe.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Quality", "reason_1": "Features a smooth, cinematic pan that reveals the table setting gradually and elegantly.", "reason_2": "The camera movement is shaky and erratic, detracting from the viewing experience.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Warmth & Glow)", "reason_1": "Successfully establishes a warm, inviting mood through lighting and color grading.", "reason_2": "The atmosphere feels cold and clinical due to the harsh white tablecloth and lack of warm ambient lighting.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 succeeds in creating an 'inviting' and 'elegant' atmosphere through smooth camera work and appetizing presentation. Video 2 fails aesthetically due to poor lighting and unappealing food rendering.", "cat_winner": "Video 1"}], "reason": "Video 1 is significantly superior in terms of visual fidelity, lighting, and aesthetic appeal. It accurately renders the textures of the food (glistening steak, crisp fries) and creates a warm, inviting atmosphere with high-quality reflections in the wine glass. Video 2 suffers from lower resolution, poor lighting, and unappetizing food textures, failing to capture the 'elegance' requested in the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 61.767} +{"pair_id": "023_seed_42", "sample_index": 23, "seed": 42, "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dish Identification & Ingredient Fidelity\", \"reason_1\": \"Video 1 clearly renders the dumplings, the colorful fried rice, and the pineapple chicken with distinct ingredients. The food looks appetizing and identifiable.\", \"reason_2\": \"Video 2 struggles significantly with the specific dishes; the 'fried rice' appears as a morphing, undefined texture, and the dumplings lack structural integrity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attribute Accuracy (Sheen, Color, Texture)\", \"reason_1\": \"Video 1 captures the 'glistening sheen' on the dumplings and the 'vibrant' colors of the vegetables and pineapple effectively.\", \"reason_2\": \"Video 2 fails to render realistic textures; the food looks plastic or muddy, and the colors are inconsistent due to generation artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Spatial Arrangement & Table Setting\", \"reason_1\": \"Video 1 maintains a logical table layout where dishes sit firmly on the surface, respecting the 'center stage' instruction for the rice.\", \"reason_2\": \"Video 2 fails spatially; objects float, merge, and shift positions illogically, breaking the illusion of a set table.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific dishes described, including the fried rice with shrimp and the pineapple chicken, maintaining their distinct identities. Video 2 attempts the dishes but fails to maintain their structural integrity, resulting in unrecognizable morphing blobs.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The subjects in Video 1 remain solid and consistent in shape throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'boiling' and morphing; the dumplings change shape, and the rice bowl contents shift liquidly in a physically impossible way.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 is sharp, with clear details on the porcelain and food textures.\", \"reason_2\": \"Video 2 is blurry and noisy, with significant loss of detail in the food items.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The camera movement in Video 1 is smooth and the parallax effect is realistic.\", \"reason_2\": \"The motion in Video 2 causes the background and foreground objects to warp and distort, violating basic physics.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is stable and clear. Video 2 is plagued by severe temporal incoherence, with objects constantly changing shape and texture.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Culinary Aesthetic Appeal\", \"reason_1\": \"The food in Video 1 looks edible, fresh, and inviting, fitting the 'lavish spread' description.\", \"reason_2\": \"The morphing and unnatural textures in Video 2 make the food look unappetizing and artificial.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Ambiance\", \"reason_1\": \"Video 1 features warm, soft lighting that enhances the food's appeal.\", \"reason_2\": \"Video 2 has flat, inconsistent lighting that fluctuates as the video progresses.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced composition that showcases the variety of dishes well.\", \"reason_2\": \"Video 2's framing is chaotic due to the shifting geometry of the table and dishes.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 succeeds in creating an inviting 'culinary feast' atmosphere through good lighting and composition. Video 2 is visually unappealing due to the distortion.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It delivers a high-fidelity, photorealistic representation of the requested dishes with excellent temporal stability. The food textures (glistening dumplings, colorful rice) are rendered accurately, and the camera movement is smooth. Video 2 suffers from severe morphological instability, where the food items morph, melt, and change shape unnaturally, destroying the realism and aesthetic appeal.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dish Identification & Ingredient Fidelity", "reason_1": "Video 1 clearly renders the dumplings, the colorful fried rice, and the pineapple chicken with distinct ingredients. The food looks appetizing and identifiable.", "reason_2": "Video 2 struggles significantly with the specific dishes; the 'fried rice' appears as a morphing, undefined texture, and the dumplings lack structural integrity.", "score_1": 8, "score_2": 2}, {"name": "Attribute Accuracy (Sheen, Color, Texture)", "reason_1": "Video 1 captures the 'glistening sheen' on the dumplings and the 'vibrant' colors of the vegetables and pineapple effectively.", "reason_2": "Video 2 fails to render realistic textures; the food looks plastic or muddy, and the colors are inconsistent due to generation artifacts.", "score_1": 9, "score_2": 1}, {"name": "Spatial Arrangement & Table Setting", "reason_1": "Video 1 maintains a logical table layout where dishes sit firmly on the surface, respecting the 'center stage' instruction for the rice.", "reason_2": "Video 2 fails spatially; objects float, merge, and shift positions illogically, breaking the illusion of a set table.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific dishes described, including the fried rice with shrimp and the pineapple chicken, maintaining their distinct identities. Video 2 attempts the dishes but fails to maintain their structural integrity, resulting in unrecognizable morphing blobs.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The subjects in Video 1 remain solid and consistent in shape throughout the clip.", "reason_2": "Video 2 exhibits severe 'boiling' and morphing; the dumplings change shape, and the rice bowl contents shift liquidly in a physically impossible way.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 is sharp, with clear details on the porcelain and food textures.", "reason_2": "Video 2 is blurry and noisy, with significant loss of detail in the food items.", "score_1": 9, "score_2": 1}, {"name": "Motion Coherence & Physics", "reason_1": "The camera movement in Video 1 is smooth and the parallax effect is realistic.", "reason_2": "The motion in Video 2 causes the background and foreground objects to warp and distort, violating basic physics.", "score_1": 9, "score_2": 1}], "cat_reason": "This is the most significant differentiator. Video 1 is stable and clear. Video 2 is plagued by severe temporal incoherence, with objects constantly changing shape and texture.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Culinary Aesthetic Appeal", "reason_1": "The food in Video 1 looks edible, fresh, and inviting, fitting the 'lavish spread' description.", "reason_2": "The morphing and unnatural textures in Video 2 make the food look unappetizing and artificial.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Ambiance", "reason_1": "Video 1 features warm, soft lighting that enhances the food's appeal.", "reason_2": "Video 2 has flat, inconsistent lighting that fluctuates as the video progresses.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a balanced composition that showcases the variety of dishes well.", "reason_2": "Video 2's framing is chaotic due to the shifting geometry of the table and dishes.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 succeeds in creating an inviting 'culinary feast' atmosphere through good lighting and composition. Video 2 is visually unappealing due to the distortion.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It delivers a high-fidelity, photorealistic representation of the requested dishes with excellent temporal stability. The food textures (glistening dumplings, colorful rice) are rendered accurately, and the camera movement is smooth. Video 2 suffers from severe morphological instability, where the food items morph, melt, and change shape unnaturally, destroying the realism and aesthetic appeal.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 61.224} +{"pair_id": "023_seed_310", "sample_index": 23, "seed": 310, "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_310_A close-up reveals a lavish spread of Chinese cuis.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_310_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_310_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_310_A close-up reveals a lavish spread of Chinese cuis.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dish Identification & Distinctness\", \"reason_1\": \"Video 1 clearly renders the fried rice with shrimp, the dumplings, and the chicken dish as separate, identifiable entities.\", \"reason_2\": \"Video 2 struggles to separate the dishes; the fried rice and dumplings appear to morph into one another, and the specific ingredients (pineapple, peppers) are indistinguishable blobs.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Sheen & Texture)\", \"reason_1\": \"The food in Video 1 has realistic textures; the dumplings look doughy and the sauce on the chicken looks glossy and appetizing.\", \"reason_2\": \"The textures in Video 2 are plastic-like and inconsistent, lacking the 'glistening' or 'crispy' attributes requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Table & Ambiance)\", \"reason_1\": \"Video 1 establishes a convincing restaurant setting with a polished table and background diners, matching the 'softly lit' ambiance.\", \"reason_2\": \"Video 2 has a confusing background that shifts rapidly, failing to establish a stable environment.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific dishes described, including the fried rice with shrimp and the dumplings, maintaining their distinct identities. Video 2 fails to clearly distinguish the dishes, often blending them into amorphous shapes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The plates, food, and table remain solid and consistent in shape throughout the video.\", \"reason_2\": \"Video 2 exhibits severe morphing; plates change size, and food items melt and shift shape unnaturally as the camera moves.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high resolution and clear details on the food.\", \"reason_2\": \"The video is blurry, noisy, and suffers from significant compression-like artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion is minimal but stable; the background characters move naturally.\", \"reason_2\": \"The camera motion is jerky and induces warping in the static objects (the table and plates).\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Appetizing Presentation\", \"reason_1\": \"The food looks delicious and inviting, effectively fulfilling the prompt's goal of a 'culinary feast'.\", \"reason_2\": \"The morphing and blurriness make the food look unappealing and messy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing captures the 'lavish spread' well, showing multiple dishes in a balanced arrangement.\", \"reason_2\": \"The framing is erratic, often cutting off dishes or focusing on blurry sections of the table.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"Lighting is warm and consistent, enhancing the colors of the vegetables and sauces.\", \"reason_2\": \"Lighting is flat and inconsistent, with colors washing out during motion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 succeeds in creating an appetizing and inviting visual, whereas Video 2 is visually chaotic and unappealing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every aspect, offering a high-fidelity, photorealistic representation of the prompt with excellent temporal stability. It clearly distinguishes the specific dishes (fried rice, dumplings, chicken) with appetizing textures and accurate lighting. Video 2 suffers from severe morphological instability, low resolution, and significant hallucinations where objects morph into one another, failing to maintain the identity of the food items.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dish Identification & Distinctness", "reason_1": "Video 1 clearly renders the fried rice with shrimp, the dumplings, and the chicken dish as separate, identifiable entities.", "reason_2": "Video 2 struggles to separate the dishes; the fried rice and dumplings appear to morph into one another, and the specific ingredients (pineapple, peppers) are indistinguishable blobs.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Sheen & Texture)", "reason_1": "The food in Video 1 has realistic textures; the dumplings look doughy and the sauce on the chicken looks glossy and appetizing.", "reason_2": "The textures in Video 2 are plastic-like and inconsistent, lacking the 'glistening' or 'crispy' attributes requested.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Table & Ambiance)", "reason_1": "Video 1 establishes a convincing restaurant setting with a polished table and background diners, matching the 'softly lit' ambiance.", "reason_2": "Video 2 has a confusing background that shifts rapidly, failing to establish a stable environment.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific dishes described, including the fried rice with shrimp and the dumplings, maintaining their distinct identities. Video 2 fails to clearly distinguish the dishes, often blending them into amorphous shapes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The plates, food, and table remain solid and consistent in shape throughout the video.", "reason_2": "Video 2 exhibits severe morphing; plates change size, and food items melt and shift shape unnaturally as the camera moves.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high resolution and clear details on the food.", "reason_2": "The video is blurry, noisy, and suffers from significant compression-like artifacts.", "score_1": 9, "score_2": 1}, {"name": "Motion Coherence", "reason_1": "The motion is minimal but stable; the background characters move naturally.", "reason_2": "The camera motion is jerky and induces warping in the static objects (the table and plates).", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Appetizing Presentation", "reason_1": "The food looks delicious and inviting, effectively fulfilling the prompt's goal of a 'culinary feast'.", "reason_2": "The morphing and blurriness make the food look unappealing and messy.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The framing captures the 'lavish spread' well, showing multiple dishes in a balanced arrangement.", "reason_2": "The framing is erratic, often cutting off dishes or focusing on blurry sections of the table.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Color Harmony", "reason_1": "Lighting is warm and consistent, enhancing the colors of the vegetables and sauces.", "reason_2": "Lighting is flat and inconsistent, with colors washing out during motion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 succeeds in creating an appetizing and inviting visual, whereas Video 2 is visually chaotic and unappealing.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every aspect, offering a high-fidelity, photorealistic representation of the prompt with excellent temporal stability. It clearly distinguishes the specific dishes (fried rice, dumplings, chicken) with appetizing textures and accurate lighting. Video 2 suffers from severe morphological instability, low resolution, and significant hallucinations where objects morph into one another, failing to maintain the identity of the food items.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 55.923} +{"pair_id": "023_seed_930", "sample_index": 23, "seed": 930, "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Inventory Completeness\", \"reason_1\": \"Video 1 clearly displays the dumplings, spring rolls, and fried rice in a single, cohesive frame, satisfying the 'lavish spread' requirement.\", \"reason_2\": \"Video 2 focuses heavily on the rice and dumplings but the spring rolls are less distinct, and the overall arrangement feels less like a complete spread.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Attribute Fidelity (Texture & Sheen)\", \"reason_1\": \"The food in Video 1 has a realistic 'glistening' sheen and distinct textures for the rice and dumpling skins.\", \"reason_2\": \"The food textures in Video 2 appear somewhat plastic and lack the appetizing gloss described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Table & Lighting)\", \"reason_1\": \"Video 1 depicts a warm, softly lit restaurant environment with a polished wooden table that reflects light naturally.\", \"reason_2\": \"Video 2 has flatter lighting and the table surface appears less polished and more generic.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the 'lavish spread' more effectively, showing distinct, recognizable dishes that match the prompt's descriptions (dumplings, spring rolls, rice) with high fidelity. Video 2 struggles with the clarity of the secondary dishes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The dishes and table elements remain solid and consistent in shape throughout the camera movement.\", \"reason_2\": \"Video 2 exhibits severe morphing; the chopsticks and bowls warp and change shape unnaturally as the camera moves.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high resolution and clear details on the food ingredients.\", \"reason_2\": \"The video is blurry and lacks definition, making the food look muddy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera pan is smooth and cinematic.\", \"reason_2\": \"The motion feels slightly jerky and induces distortion in the background elements.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 fails significantly in this category due to noticeable warping and distortion of objects during camera movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Culinary Aesthetics (Appetizing Appeal)\", \"reason_1\": \"The food looks delicious, vibrant, and professionally plated, evoking the 'indulge' aspect of the prompt.\", \"reason_2\": \"The food looks artificial and unappealing due to the low-quality rendering.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing successfully captures the abundance of the table without feeling cluttered.\", \"reason_2\": \"The framing is tight and somewhat awkward, cutting off dishes abruptly.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"Colors are vibrant and distinct, separating the ingredients well.\", \"reason_2\": \"Colors are washed out and lack the 'burst of color' requested for the chicken dish.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 succeeds in creating an appetizing and inviting visual experience, whereas Video 2's technical flaws detract from the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, stability, and appetizing presentation. It accurately renders the textures of the food (glistening dumplings, distinct rice grains) and maintains a consistent, high-quality image throughout the camera movement. Video 2 suffers from significant morphological instability, where objects like chopsticks and bowls warp and distort during motion, and the overall image lacks the sharpness and 'lavish' aesthetic required by the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Inventory Completeness", "reason_1": "Video 1 clearly displays the dumplings, spring rolls, and fried rice in a single, cohesive frame, satisfying the 'lavish spread' requirement.", "reason_2": "Video 2 focuses heavily on the rice and dumplings but the spring rolls are less distinct, and the overall arrangement feels less like a complete spread.", "score_1": 7, "score_2": 3}, {"name": "Attribute Fidelity (Texture & Sheen)", "reason_1": "The food in Video 1 has a realistic 'glistening' sheen and distinct textures for the rice and dumpling skins.", "reason_2": "The food textures in Video 2 appear somewhat plastic and lack the appetizing gloss described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Table & Lighting)", "reason_1": "Video 1 depicts a warm, softly lit restaurant environment with a polished wooden table that reflects light naturally.", "reason_2": "Video 2 has flatter lighting and the table surface appears less polished and more generic.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the 'lavish spread' more effectively, showing distinct, recognizable dishes that match the prompt's descriptions (dumplings, spring rolls, rice) with high fidelity. Video 2 struggles with the clarity of the secondary dishes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The dishes and table elements remain solid and consistent in shape throughout the camera movement.", "reason_2": "Video 2 exhibits severe morphing; the chopsticks and bowls warp and change shape unnaturally as the camera moves.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high resolution and clear details on the food ingredients.", "reason_2": "The video is blurry and lacks definition, making the food look muddy.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The camera pan is smooth and cinematic.", "reason_2": "The motion feels slightly jerky and induces distortion in the background elements.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 fails significantly in this category due to noticeable warping and distortion of objects during camera movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Culinary Aesthetics (Appetizing Appeal)", "reason_1": "The food looks delicious, vibrant, and professionally plated, evoking the 'indulge' aspect of the prompt.", "reason_2": "The food looks artificial and unappealing due to the low-quality rendering.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The framing successfully captures the abundance of the table without feeling cluttered.", "reason_2": "The framing is tight and somewhat awkward, cutting off dishes abruptly.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Vibrancy", "reason_1": "Colors are vibrant and distinct, separating the ingredients well.", "reason_2": "Colors are washed out and lack the 'burst of color' requested for the chicken dish.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 succeeds in creating an appetizing and inviting visual experience, whereas Video 2's technical flaws detract from the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, stability, and appetizing presentation. It accurately renders the textures of the food (glistening dumplings, distinct rice grains) and maintains a consistent, high-quality image throughout the camera movement. Video 2 suffers from significant morphological instability, where objects like chopsticks and bowls warp and distort during motion, and the overall image lacks the sharpness and 'lavish' aesthetic required by the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 56.028} +{"pair_id": "024_seed_42", "sample_index": 24, "seed": 42, "prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_42_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_42_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_42_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_42_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Ingredient Completeness & Identification\", \"reason_1\": \"Video 1 clearly displays the chicken, peanuts, peppers, chilies, and rice as requested.\", \"reason_2\": \"Video 2 also successfully generates all the required ingredients with correct colors and types.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Gloss & Texture)\", \"reason_1\": \"The sauce in Video 1 has a realistic, viscous gloss that looks like a savory glaze.\", \"reason_2\": \"The sauce in Video 2 appears overly wet and plastic-like, lacking the specific 'savory' texture described.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Steam Presence)\", \"reason_1\": \"Video 1 features distinct, wispy steam rising from the dish, matching the prompt's atmospheric requirement.\", \"reason_2\": \"Video 2 has very faint or indistinct steam, failing to capture the 'freshly prepared' atmosphere effectively.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Both videos contain all the required ingredients, but Video 1 captures the specific attributes—particularly the 'wisps of steam' and the 'glistening' nature of the sauce—with greater accuracy.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The ingredients in Video 1 maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe morphing; the chicken pieces and peppers warp and change shape unnaturally as the camera moves.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Fidelity & Sharpness\", \"reason_1\": \"Textures remain sharp and defined, distinguishing between the crunch of peanuts and the softness of peppers.\", \"reason_2\": \"The textures become muddy and blurred during motion, losing the definition of individual ingredients.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement of the steam and the subtle camera drift are smooth and physically plausible.\", \"reason_2\": \"The motion feels jittery and causes the subject to distort, breaking the illusion of realism.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the deciding category. Video 1 is stable and coherent. Video 2 suffers from significant hallucinations and warping of the food items during camera movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Appetite Appeal (Mouthwatering Quality)\", \"reason_1\": \"The realistic lighting and texture make the food look genuinely delicious and inviting.\", \"reason_2\": \"The artificial, morphing appearance of the food makes it look unappetizing and fake.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Color Vibrancy\", \"reason_1\": \"Lighting is balanced, highlighting the gloss of the sauce without blowing out highlights.\", \"reason_2\": \"The lighting feels flatter and the colors are slightly oversaturated, contributing to a synthetic look.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The close-up framing is well-balanced, keeping the main subject in focus.\", \"reason_2\": \"The framing is acceptable, but the camera movement detracts from the composition by blurring the edges.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 succeeds in creating an appetizing, commercial-grade food shot. Video 2's visual artifacts destroy the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior temporal stability and realistic texture rendering. It successfully maintains the shape and identity of the ingredients (peanuts, peppers, chicken) throughout the clip, whereas Video 2 suffers from severe morphological distortion where objects warp and melt. Additionally, Video 1 renders the 'wisps of steam' and the 'glossy sauce' with much higher fidelity, creating a genuinely appetizing and photorealistic result.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Ingredient Completeness & Identification", "reason_1": "Video 1 clearly displays the chicken, peanuts, peppers, chilies, and rice as requested.", "reason_2": "Video 2 also successfully generates all the required ingredients with correct colors and types.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Gloss & Texture)", "reason_1": "The sauce in Video 1 has a realistic, viscous gloss that looks like a savory glaze.", "reason_2": "The sauce in Video 2 appears overly wet and plastic-like, lacking the specific 'savory' texture described.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Steam Presence)", "reason_1": "Video 1 features distinct, wispy steam rising from the dish, matching the prompt's atmospheric requirement.", "reason_2": "Video 2 has very faint or indistinct steam, failing to capture the 'freshly prepared' atmosphere effectively.", "score_1": 8, "score_2": 2}], "cat_reason": "Both videos contain all the required ingredients, but Video 1 captures the specific attributes—particularly the 'wisps of steam' and the 'glistening' nature of the sauce—with greater accuracy.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The ingredients in Video 1 maintain their shape and volume consistently throughout the clip.", "reason_2": "Video 2 exhibits severe morphing; the chicken pieces and peppers warp and change shape unnaturally as the camera moves.", "score_1": 9, "score_2": 1}, {"name": "Texture Fidelity & Sharpness", "reason_1": "Textures remain sharp and defined, distinguishing between the crunch of peanuts and the softness of peppers.", "reason_2": "The textures become muddy and blurred during motion, losing the definition of individual ingredients.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence", "reason_1": "The movement of the steam and the subtle camera drift are smooth and physically plausible.", "reason_2": "The motion feels jittery and causes the subject to distort, breaking the illusion of realism.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the deciding category. Video 1 is stable and coherent. Video 2 suffers from significant hallucinations and warping of the food items during camera movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Appetite Appeal (Mouthwatering Quality)", "reason_1": "The realistic lighting and texture make the food look genuinely delicious and inviting.", "reason_2": "The artificial, morphing appearance of the food makes it look unappetizing and fake.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Color Vibrancy", "reason_1": "Lighting is balanced, highlighting the gloss of the sauce without blowing out highlights.", "reason_2": "The lighting feels flatter and the colors are slightly oversaturated, contributing to a synthetic look.", "score_1": 7, "score_2": 3}, {"name": "Composition & Framing", "reason_1": "The close-up framing is well-balanced, keeping the main subject in focus.", "reason_2": "The framing is acceptable, but the camera movement detracts from the composition by blurring the edges.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 succeeds in creating an appetizing, commercial-grade food shot. Video 2's visual artifacts destroy the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior temporal stability and realistic texture rendering. It successfully maintains the shape and identity of the ingredients (peanuts, peppers, chicken) throughout the clip, whereas Video 2 suffers from severe morphological distortion where objects warp and melt. Additionally, Video 1 renders the 'wisps of steam' and the 'glossy sauce' with much higher fidelity, creating a genuinely appetizing and photorealistic result.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 56.671} +{"pair_id": "024_seed_310", "sample_index": 24, "seed": 310, "prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_310_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_310_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_310_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_310_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Ingredient Completeness (Peanuts, Peppers, Chilies)\", \"reason_1\": \"Video 1 clearly displays the required peanuts, green peppers, and red chilies in a balanced ratio.\", \"reason_2\": \"Video 2 also successfully includes all mandated ingredients, with a slightly higher density of peanuts.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Glossy Sauce & Texture)\", \"reason_1\": \"The sauce in Video 1 has a realistic, viscous sheen that looks like a 'savory glaze' clinging to the food.\", \"reason_2\": \"The sauce in Video 2 appears overly thick and plastic-like, lacking the natural texture of a savory glaze.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Steam & Rice Bed)\", \"reason_1\": \"Video 1 shows the rice bed clearly and the steam is subtle and realistic.\", \"reason_2\": \"Video 2 shows the rice bed, but the steam effect is somewhat overpowering and less integrated with the scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Both videos successfully include all prompt elements, but Video 1 renders the specific attributes (glossy sauce, fluffy rice) with greater naturalism.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Ingredient Consistency)\", \"reason_1\": \"The chicken and vegetables maintain their rigid shapes perfectly throughout the camera movement.\", \"reason_2\": \"The ingredients in Video 2 exhibit noticeable 'breathing' and warping, where the shapes of the chicken and peppers shift unnaturally.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Fidelity (Organic vs. Synthetic)\", \"reason_1\": \"The textures of the meat and vegetables look organic and edible.\", \"reason_2\": \"The food surfaces look overly smooth and synthetic, resembling a 3D render rather than real food.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Naturalness (Steam & Camera)\", \"reason_1\": \"The camera movement is smooth and the steam rises with natural fluid dynamics.\", \"reason_2\": \"The motion feels slightly artificial, and the steam generation appears more like a 2D overlay than volumetric gas.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior stability and texture rendering. Video 2 suffers from 'morphing' artifacts where ingredients change shape slightly over time.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Appetite Appeal (Mouthwatering Quality)\", \"reason_1\": \"The lighting and texture make the dish look genuinely delicious and freshly cooked.\", \"reason_2\": \"The artificial sheen and plastic texture reduce the appetizing quality of the dish.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"Lighting is soft and natural, highlighting the food's texture without harsh reflections.\", \"reason_2\": \"Lighting is somewhat harsh, creating high-contrast highlights that contribute to the artificial look.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The close-up framing is effective and centers the dish well.\", \"reason_2\": \"The framing is equally effective, filling the screen with the subject matter.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 succeeds in creating an appetizing, 'mouthwatering' scene through better lighting and color grading, whereas Video 2 feels artificial.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism and temporal stability. It accurately captures the organic textures of the food and the natural behavior of steam, whereas Video 2 suffers from a synthetic, plastic-like appearance and noticeable morphological warping of the ingredients.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Ingredient Completeness (Peanuts, Peppers, Chilies)", "reason_1": "Video 1 clearly displays the required peanuts, green peppers, and red chilies in a balanced ratio.", "reason_2": "Video 2 also successfully includes all mandated ingredients, with a slightly higher density of peanuts.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Glossy Sauce & Texture)", "reason_1": "The sauce in Video 1 has a realistic, viscous sheen that looks like a 'savory glaze' clinging to the food.", "reason_2": "The sauce in Video 2 appears overly thick and plastic-like, lacking the natural texture of a savory glaze.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Steam & Rice Bed)", "reason_1": "Video 1 shows the rice bed clearly and the steam is subtle and realistic.", "reason_2": "Video 2 shows the rice bed, but the steam effect is somewhat overpowering and less integrated with the scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Both videos successfully include all prompt elements, but Video 1 renders the specific attributes (glossy sauce, fluffy rice) with greater naturalism.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Ingredient Consistency)", "reason_1": "The chicken and vegetables maintain their rigid shapes perfectly throughout the camera movement.", "reason_2": "The ingredients in Video 2 exhibit noticeable 'breathing' and warping, where the shapes of the chicken and peppers shift unnaturally.", "score_1": 8, "score_2": 2}, {"name": "Texture Fidelity (Organic vs. Synthetic)", "reason_1": "The textures of the meat and vegetables look organic and edible.", "reason_2": "The food surfaces look overly smooth and synthetic, resembling a 3D render rather than real food.", "score_1": 7, "score_2": 3}, {"name": "Motion Naturalness (Steam & Camera)", "reason_1": "The camera movement is smooth and the steam rises with natural fluid dynamics.", "reason_2": "The motion feels slightly artificial, and the steam generation appears more like a 2D overlay than volumetric gas.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior stability and texture rendering. Video 2 suffers from 'morphing' artifacts where ingredients change shape slightly over time.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Appetite Appeal (Mouthwatering Quality)", "reason_1": "The lighting and texture make the dish look genuinely delicious and freshly cooked.", "reason_2": "The artificial sheen and plastic texture reduce the appetizing quality of the dish.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Color Harmony", "reason_1": "Lighting is soft and natural, highlighting the food's texture without harsh reflections.", "reason_2": "Lighting is somewhat harsh, creating high-contrast highlights that contribute to the artificial look.", "score_1": 7, "score_2": 3}, {"name": "Composition & Framing", "reason_1": "The close-up framing is effective and centers the dish well.", "reason_2": "The framing is equally effective, filling the screen with the subject matter.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 succeeds in creating an appetizing, 'mouthwatering' scene through better lighting and color grading, whereas Video 2 feels artificial.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism and temporal stability. It accurately captures the organic textures of the food and the natural behavior of steam, whereas Video 2 suffers from a synthetic, plastic-like appearance and noticeable morphological warping of the ingredients.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 60.0, "total_score_2": 30.0, "elapsed_sec": 52.283} +{"pair_id": "024_seed_930", "sample_index": 24, "seed": 930, "prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Ingredient Completeness & Identification\", \"reason_1\": \"Video 1 clearly displays the chicken, peanuts, peppers, chilies, and rice as requested.\", \"reason_2\": \"Video 2 also displays all required ingredients with high clarity and correct identification.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Dynamic Attribute: Rising Steam\", \"reason_1\": \"Video 1 fails to generate the 'wisps of steam' explicitly requested in the prompt; the scene is static in terms of atmospheric effects.\", \"reason_2\": \"Video 2 features prominent, realistic steam rising from the dish, perfectly aligning with the prompt's description of a hot, freshly prepared meal.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Fidelity: Glossy Sauce\", \"reason_1\": \"Video 1 renders the sauce as glossy, but the texture appears slightly plastic and uniform.\", \"reason_2\": \"Video 2 renders the sauce with a more realistic viscosity and light interaction, making it look genuinely savory and clinging to the ingredients.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures all semantic elements, including the critical dynamic attribute of rising steam, which Video 1 completely misses.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"The textures in Video 1, particularly the rice and chicken, look somewhat artificial and lack organic imperfection.\", \"reason_2\": \"Video 2 achieves a high level of photorealism; the rice grains, chicken surface, and vegetable skins look indistinguishable from real footage.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Particle Physics (Steam Simulation)\", \"reason_1\": \"There is no particle simulation present in Video 1.\", \"reason_2\": \"Video 2 handles the complex physics of rising steam well, with natural dissipation and movement that adds significant realism.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting & Specular Highlights\", \"reason_1\": \"Lighting in Video 1 is flat, resulting in less depth and less effective highlighting of the food's texture.\", \"reason_2\": \"Video 2 utilizes dynamic lighting that creates realistic specular highlights on the sauce, enhancing the perception of wetness and freshness.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior photorealism, particularly in lighting and particle physics (steam), whereas Video 1 looks more like a static 3D render.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Sensory Appeal (Mouthwatering Quality)\", \"reason_1\": \"The static nature and slightly artificial look of Video 1 reduce its appetizing quality.\", \"reason_2\": \"The combination of steam, glistening sauce, and warm lighting in Video 2 effectively evokes the 'tantalizing aroma' and 'mouthwatering' feel described in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 is framed very tightly, cutting off parts of the dish and making the composition feel slightly claustrophobic.\", \"reason_2\": \"Video 2 uses a slightly wider close-up that allows the viewer to see the arrangement of the food and the rising steam, creating a more balanced image.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Vibrancy & Harmony\", \"reason_1\": \"Video 1 has vibrant colors, but they lean slightly towards oversaturation.\", \"reason_2\": \"Video 2 maintains vibrant colors (reds and greens) while keeping them grounded in a realistic color palette.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 succeeds in creating the 'mouthwatering' and 'inviting' atmosphere requested, while Video 1 feels more clinical and less appetizing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it successfully generates the 'wisps of steam' explicitly requested in the prompt, creating a dynamic and realistic sense of heat and freshness. Video 1, while visually clear, lacks this crucial atmospheric element and appears more static and artificial. Video 2 also excels in photorealism, lighting, and appetizing texture rendering.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Ingredient Completeness & Identification", "reason_1": "Video 1 clearly displays the chicken, peanuts, peppers, chilies, and rice as requested.", "reason_2": "Video 2 also displays all required ingredients with high clarity and correct identification.", "score_1": 5, "score_2": 5}, {"name": "Dynamic Attribute: Rising Steam", "reason_1": "Video 1 fails to generate the 'wisps of steam' explicitly requested in the prompt; the scene is static in terms of atmospheric effects.", "reason_2": "Video 2 features prominent, realistic steam rising from the dish, perfectly aligning with the prompt's description of a hot, freshly prepared meal.", "score_1": 1, "score_2": 9}, {"name": "Texture Fidelity: Glossy Sauce", "reason_1": "Video 1 renders the sauce as glossy, but the texture appears slightly plastic and uniform.", "reason_2": "Video 2 renders the sauce with a more realistic viscosity and light interaction, making it look genuinely savory and clinging to the ingredients.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures all semantic elements, including the critical dynamic attribute of rising steam, which Video 1 completely misses.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Photorealistic Texture Rendering", "reason_1": "The textures in Video 1, particularly the rice and chicken, look somewhat artificial and lack organic imperfection.", "reason_2": "Video 2 achieves a high level of photorealism; the rice grains, chicken surface, and vegetable skins look indistinguishable from real footage.", "score_1": 3, "score_2": 7}, {"name": "Particle Physics (Steam Simulation)", "reason_1": "There is no particle simulation present in Video 1.", "reason_2": "Video 2 handles the complex physics of rising steam well, with natural dissipation and movement that adds significant realism.", "score_1": 1, "score_2": 9}, {"name": "Lighting & Specular Highlights", "reason_1": "Lighting in Video 1 is flat, resulting in less depth and less effective highlighting of the food's texture.", "reason_2": "Video 2 utilizes dynamic lighting that creates realistic specular highlights on the sauce, enhancing the perception of wetness and freshness.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior photorealism, particularly in lighting and particle physics (steam), whereas Video 1 looks more like a static 3D render.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Sensory Appeal (Mouthwatering Quality)", "reason_1": "The static nature and slightly artificial look of Video 1 reduce its appetizing quality.", "reason_2": "The combination of steam, glistening sauce, and warm lighting in Video 2 effectively evokes the 'tantalizing aroma' and 'mouthwatering' feel described in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "Video 1 is framed very tightly, cutting off parts of the dish and making the composition feel slightly claustrophobic.", "reason_2": "Video 2 uses a slightly wider close-up that allows the viewer to see the arrangement of the food and the rising steam, creating a more balanced image.", "score_1": 4, "score_2": 6}, {"name": "Color Vibrancy & Harmony", "reason_1": "Video 1 has vibrant colors, but they lean slightly towards oversaturation.", "reason_2": "Video 2 maintains vibrant colors (reds and greens) while keeping them grounded in a realistic color palette.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 succeeds in creating the 'mouthwatering' and 'inviting' atmosphere requested, while Video 1 feels more clinical and less appetizing.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it successfully generates the 'wisps of steam' explicitly requested in the prompt, creating a dynamic and realistic sense of heat and freshness. Video 1, while visually clear, lacks this crucial atmospheric element and appears more static and artificial. Video 2 also excels in photorealism, lighting, and appetizing texture rendering.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 55.688} +{"pair_id": "025_seed_42", "sample_index": 25, "seed": 42, "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Anatomical Logic (Human & Animal)\", \"reason_1\": \"Video 1 fails catastrophically; faces are severely distorted, melting, and terrifying, and the dog appears as a glitchy, unrecognizable blob.\", \"reason_2\": \"Video 2 renders human faces and the dog with high realism and correct anatomy, maintaining their structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Specificity (Frisbee Interaction)\", \"reason_1\": \"Video 1 attempts to show the frisbee toss in the background, but the motion is floaty and the objects are ill-defined.\", \"reason_2\": \"Video 2 depicts the frisbee toss clearly in the background with realistic physics and distinct object separation.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Sun-drenched Backyard)\", \"reason_1\": \"Video 1 captures the backyard setting but the lighting is flat and the textures are muddy.\", \"reason_2\": \"Video 2 perfectly captures the 'sun-drenched' and 'golden sunlight' description with vibrant lighting and clear environmental details.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders the human subjects and the dog with anatomical correctness, whereas Video 1 fails to generate recognizable human faces or a coherent dog.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"Video 1 exhibits extreme morphing; subjects' faces and bodies warp and melt continuously, breaking all immersion.\", \"reason_2\": \"Video 2 maintains excellent temporal stability; subject identities and shapes remain consistent across all frames.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image in Video 1 is blurry, low-resolution, and filled with generation artifacts.\", \"reason_2\": \"Video 2 is sharp, high-definition, and clear, with distinct textures on clothing and the environment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Motion in Video 1 is jerky and unnatural, with objects appearing to float or merge rather than move physically.\", \"reason_2\": \"Video 2 displays smooth, natural motion for both the camera pan and the subjects' movements.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is a high-quality generation with stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Tone (Joy vs. Uncanny)\", \"reason_1\": \"Due to the facial distortions, Video 1 evokes a feeling of horror or unease, completely missing the 'effortless joy' requested.\", \"reason_2\": \"Video 2 successfully conveys a warm, happy, and social atmosphere consistent with a friendly backyard gathering.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Motion (Pan Execution)\", \"reason_1\": \"The camera movement in Video 1 is shaky and disorienting.\", \"reason_2\": \"Video 2 executes a smooth, cinematic pan that effectively connects the different groups of friends.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to the grotesque distortions of the subjects.\", \"reason_2\": \"The video is aesthetically pleasing, with good color grading, lighting, and composition.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully captures the joyful mood requested by the prompt. Video 1 creates an unintentional horror effect due to the distortions.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates vastly superior visual fidelity, temporal stability, and anatomical logic. While Video 1 suffers from severe morphological distortions (melting faces, unrecognizable limbs) that create a disturbing 'uncanny valley' effect, Video 2 delivers a coherent, high-resolution scene with realistic human subjects, a clearly defined dog, and smooth camera movement that perfectly matches the requested joyful atmosphere.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Anatomical Logic (Human & Animal)", "reason_1": "Video 1 fails catastrophically; faces are severely distorted, melting, and terrifying, and the dog appears as a glitchy, unrecognizable blob.", "reason_2": "Video 2 renders human faces and the dog with high realism and correct anatomy, maintaining their structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Action Specificity (Frisbee Interaction)", "reason_1": "Video 1 attempts to show the frisbee toss in the background, but the motion is floaty and the objects are ill-defined.", "reason_2": "Video 2 depicts the frisbee toss clearly in the background with realistic physics and distinct object separation.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Sun-drenched Backyard)", "reason_1": "Video 1 captures the backyard setting but the lighting is flat and the textures are muddy.", "reason_2": "Video 2 perfectly captures the 'sun-drenched' and 'golden sunlight' description with vibrant lighting and clear environmental details.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders the human subjects and the dog with anatomical correctness, whereas Video 1 fails to generate recognizable human faces or a coherent dog.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "Video 1 exhibits extreme morphing; subjects' faces and bodies warp and melt continuously, breaking all immersion.", "reason_2": "Video 2 maintains excellent temporal stability; subject identities and shapes remain consistent across all frames.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image in Video 1 is blurry, low-resolution, and filled with generation artifacts.", "reason_2": "Video 2 is sharp, high-definition, and clear, with distinct textures on clothing and the environment.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "Motion in Video 1 is jerky and unnatural, with objects appearing to float or merge rather than move physically.", "reason_2": "Video 2 displays smooth, natural motion for both the camera pan and the subjects' movements.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is a high-quality generation with stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Tone (Joy vs. Uncanny)", "reason_1": "Due to the facial distortions, Video 1 evokes a feeling of horror or unease, completely missing the 'effortless joy' requested.", "reason_2": "Video 2 successfully conveys a warm, happy, and social atmosphere consistent with a friendly backyard gathering.", "score_1": 1, "score_2": 9}, {"name": "Camera Motion (Pan Execution)", "reason_1": "The camera movement in Video 1 is shaky and disorienting.", "reason_2": "Video 2 executes a smooth, cinematic pan that effectively connects the different groups of friends.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to the grotesque distortions of the subjects.", "reason_2": "The video is aesthetically pleasing, with good color grading, lighting, and composition.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully captures the joyful mood requested by the prompt. Video 1 creates an unintentional horror effect due to the distortions.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates vastly superior visual fidelity, temporal stability, and anatomical logic. While Video 1 suffers from severe morphological distortions (melting faces, unrecognizable limbs) that create a disturbing 'uncanny valley' effect, Video 2 delivers a coherent, high-resolution scene with realistic human subjects, a clearly defined dog, and smooth camera movement that perfectly matches the requested joyful atmosphere.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 56.318} +{"pair_id": "025_seed_310", "sample_index": 25, "seed": 310, "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_310_In a sun-drenched backyard a lively group of frien.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_310_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_310_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_310_In a sun-drenched backyard a lively group of frien.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Group Composition\", \"reason_1\": \"Video 1 correctly depicts a group of friends in their late 20s with appropriate attire and energy.\", \"reason_2\": \"Video 2 generates a bizarre mix of ages, including elderly figures and distorted adults, failing the 'late 20s' constraint.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Grilling & Socializing)\", \"reason_1\": \"Video 1 clearly shows the grill, food, and people interacting socially with recognizable gestures.\", \"reason_2\": \"Video 2 shows a static, cluttered scene where the grilling action is obscured and the social interaction is non-existent due to lack of movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Background Event Integration (Frisbee & Dog)\", \"reason_1\": \"Video 1 includes the dog and a frisbee-like object, though the physics are floaty and the 'couple' tossing it is not clearly defined.\", \"reason_2\": \"Video 2 includes a dog, but the frisbee appears as a glitchy artifact in the sky with no logical connection to any characters.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately depicts the requested demographic (late 20s) and the core activities (grilling, socializing). Video 2 fails the demographic check by including elderly figures and fails to render coherent actions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial & Anatomical Integrity\", \"reason_1\": \"Subjects in Video 1 have coherent faces and bodies that maintain their structure throughout the clip.\", \"reason_2\": \"Video 2 is a failure case; faces are melted, eyes are missing or distorted, and limbs merge into the environment.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Fluidity & Temporal Coherence\", \"reason_1\": \"Video 1 features smooth, continuous motion consistent with a video format.\", \"reason_2\": \"Video 2 has almost no motion; it resembles a slideshow of slightly shifting, distorted images.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Stability (Grill & Props)\", \"reason_1\": \"The grill and table items in Video 1 remain solid and recognizable.\", \"reason_2\": \"Objects in Video 2 are ill-defined blobs that lack structural permanence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"The difference in quality is stark. Video 1 is a fluid video with stable subjects. Video 2 is a static, morphing mess with severe anatomical hallucinations.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Joy & Warmth)\", \"reason_1\": \"Video 1 successfully conveys a sunny, happy, and energetic atmosphere.\", \"reason_2\": \"The distorted faces and static nature of Video 2 create an eerie, uncanny valley effect rather than joy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement (Pan & Flow)\", \"reason_1\": \"Video 1 executes a handheld-style pan that connects the grill to the group, matching the prompt's direction.\", \"reason_2\": \"Video 2 is essentially a static shot with no meaningful camera movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"The framing in Video 1 is balanced, showing the foreground action and background context clearly.\", \"reason_2\": \"Video 2 is cluttered and messy, with subjects awkwardly bunched together and poor depth separation.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'vibrant energy' and 'effortless joy' requested. Video 2 creates an unintentional horror aesthetic due to the distortions.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a vastly superior generation that successfully renders a coherent video with fluid motion, recognizable human subjects, and the requested atmosphere. Video 2 suffers from severe quality issues, including static motion, nightmarish facial distortions, and a failure to animate the scene as a video rather than a morphing still image.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Group Composition", "reason_1": "Video 1 correctly depicts a group of friends in their late 20s with appropriate attire and energy.", "reason_2": "Video 2 generates a bizarre mix of ages, including elderly figures and distorted adults, failing the 'late 20s' constraint.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Grilling & Socializing)", "reason_1": "Video 1 clearly shows the grill, food, and people interacting socially with recognizable gestures.", "reason_2": "Video 2 shows a static, cluttered scene where the grilling action is obscured and the social interaction is non-existent due to lack of movement.", "score_1": 8, "score_2": 2}, {"name": "Background Event Integration (Frisbee & Dog)", "reason_1": "Video 1 includes the dog and a frisbee-like object, though the physics are floaty and the 'couple' tossing it is not clearly defined.", "reason_2": "Video 2 includes a dog, but the frisbee appears as a glitchy artifact in the sky with no logical connection to any characters.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately depicts the requested demographic (late 20s) and the core activities (grilling, socializing). Video 2 fails the demographic check by including elderly figures and fails to render coherent actions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial & Anatomical Integrity", "reason_1": "Subjects in Video 1 have coherent faces and bodies that maintain their structure throughout the clip.", "reason_2": "Video 2 is a failure case; faces are melted, eyes are missing or distorted, and limbs merge into the environment.", "score_1": 9, "score_2": 1}, {"name": "Motion Fluidity & Temporal Coherence", "reason_1": "Video 1 features smooth, continuous motion consistent with a video format.", "reason_2": "Video 2 has almost no motion; it resembles a slideshow of slightly shifting, distorted images.", "score_1": 9, "score_2": 1}, {"name": "Object Stability (Grill & Props)", "reason_1": "The grill and table items in Video 1 remain solid and recognizable.", "reason_2": "Objects in Video 2 are ill-defined blobs that lack structural permanence.", "score_1": 8, "score_2": 2}], "cat_reason": "The difference in quality is stark. Video 1 is a fluid video with stable subjects. Video 2 is a static, morphing mess with severe anatomical hallucinations.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Joy & Warmth)", "reason_1": "Video 1 successfully conveys a sunny, happy, and energetic atmosphere.", "reason_2": "The distorted faces and static nature of Video 2 create an eerie, uncanny valley effect rather than joy.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement (Pan & Flow)", "reason_1": "Video 1 executes a handheld-style pan that connects the grill to the group, matching the prompt's direction.", "reason_2": "Video 2 is essentially a static shot with no meaningful camera movement.", "score_1": 8, "score_2": 2}, {"name": "Visual Composition & Framing", "reason_1": "The framing in Video 1 is balanced, showing the foreground action and background context clearly.", "reason_2": "Video 2 is cluttered and messy, with subjects awkwardly bunched together and poor depth separation.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'vibrant energy' and 'effortless joy' requested. Video 2 creates an unintentional horror aesthetic due to the distortions.", "cat_winner": "Video 1"}], "reason": "Video 1 is a vastly superior generation that successfully renders a coherent video with fluid motion, recognizable human subjects, and the requested atmosphere. Video 2 suffers from severe quality issues, including static motion, nightmarish facial distortions, and a failure to animate the scene as a video rather than a morphing still image.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 60.658} +{"pair_id": "025_seed_930", "sample_index": 25, "seed": 930, "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Layout & Scene Separation\", \"reason_1\": \"Video 1 attempts to show the grill and table but fails to establish a coherent spatial relationship, resulting in a cluttered and confusing composition.\", \"reason_2\": \"Video 2 clearly distinguishes between the group at the table and the grill area, maintaining a logical backyard layout.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Integrity (Dog & Friends)\", \"reason_1\": \"Video 1 fails catastrophically here; the 'dog' appears as a distorted, floating glitch that merges with human subjects, and the friends' faces are severely deformed.\", \"reason_2\": \"Video 2 renders the friends and the dog with high fidelity and recognizable features.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Specificity (Grilling & Interaction)\", \"reason_1\": \"Video 1 attempts the specific action of 'tending the grill' (pouring), but the execution is physically impossible and visually disturbing.\", \"reason_2\": \"Video 2 depicts the social interaction and the presence of the grill well, though the specific 'tending' action is less active than implied.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully establishes the backyard setting and the group dynamic with recognizable subjects. Video 1 attempts to include all elements but fails to render them as distinct, logical entities, resulting in a confused scene.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe 'melting' effects; faces distort into nightmares, and limbs merge with objects.\", \"reason_2\": \"Subjects in Video 2 maintain their human form and facial structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Physics & Object Permanence\", \"reason_1\": \"Video 1 defies physics; a dog-like object floats in the air, and a blue disc (frisbee?) clips through the sky and subjects randomly.\", \"reason_2\": \"Objects and people in Video 2 move with relative weight and logic.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, noisy, and suffers from significant generation artifacts.\", \"reason_2\": \"The image is crisp, with well-defined textures on clothing and skin.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the deciding category. Video 2 maintains a professional level of stability, whereas Video 1 is plagued by severe artifacts, morphing, and physics violations.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Sun-drenched/Joy)\", \"reason_1\": \"The severe distortions create an eerie, uncanny valley effect that completely contradicts the intended joyful mood.\", \"reason_2\": \"Video 2 perfectly captures the 'golden sunlight' and 'effortless joy' requested, looking like a high-quality commercial.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Motion Stability\", \"reason_1\": \"The camera movement is jerky and disorienting, contributing to the overall lack of coherence.\", \"reason_2\": \"The camera pans smoothly, mimicking a professional cinematic shot.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually repulsive due to the high frequency of glitches and anatomical horrors.\", \"reason_2\": \"The video is aesthetically pleasing and coherent.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully evokes the 'perfect day' vibe with warm lighting and smooth camera work. Video 1's visual glitches create an unintentional horror aesthetic.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 delivers a high-quality, coherent, and visually pleasing interpretation of the prompt, successfully capturing the atmosphere and subjects with stability. Video 1 suffers from severe morphological collapse, terrifying anatomical distortions, and physics hallucinations (floating objects), rendering it unusable despite attempting to include more specific actions.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Layout & Scene Separation", "reason_1": "Video 1 attempts to show the grill and table but fails to establish a coherent spatial relationship, resulting in a cluttered and confusing composition.", "reason_2": "Video 2 clearly distinguishes between the group at the table and the grill area, maintaining a logical backyard layout.", "score_1": 2, "score_2": 8}, {"name": "Subject Integrity (Dog & Friends)", "reason_1": "Video 1 fails catastrophically here; the 'dog' appears as a distorted, floating glitch that merges with human subjects, and the friends' faces are severely deformed.", "reason_2": "Video 2 renders the friends and the dog with high fidelity and recognizable features.", "score_1": 1, "score_2": 9}, {"name": "Action Specificity (Grilling & Interaction)", "reason_1": "Video 1 attempts the specific action of 'tending the grill' (pouring), but the execution is physically impossible and visually disturbing.", "reason_2": "Video 2 depicts the social interaction and the presence of the grill well, though the specific 'tending' action is less active than implied.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully establishes the backyard setting and the group dynamic with recognizable subjects. Video 1 attempts to include all elements but fails to render them as distinct, logical entities, resulting in a confused scene.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe 'melting' effects; faces distort into nightmares, and limbs merge with objects.", "reason_2": "Subjects in Video 2 maintain their human form and facial structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Physics & Object Permanence", "reason_1": "Video 1 defies physics; a dog-like object floats in the air, and a blue disc (frisbee?) clips through the sky and subjects randomly.", "reason_2": "Objects and people in Video 2 move with relative weight and logic.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, noisy, and suffers from significant generation artifacts.", "reason_2": "The image is crisp, with well-defined textures on clothing and skin.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the deciding category. Video 2 maintains a professional level of stability, whereas Video 1 is plagued by severe artifacts, morphing, and physics violations.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Sun-drenched/Joy)", "reason_1": "The severe distortions create an eerie, uncanny valley effect that completely contradicts the intended joyful mood.", "reason_2": "Video 2 perfectly captures the 'golden sunlight' and 'effortless joy' requested, looking like a high-quality commercial.", "score_1": 1, "score_2": 9}, {"name": "Camera Motion Stability", "reason_1": "The camera movement is jerky and disorienting, contributing to the overall lack of coherence.", "reason_2": "The camera pans smoothly, mimicking a professional cinematic shot.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually repulsive due to the high frequency of glitches and anatomical horrors.", "reason_2": "The video is aesthetically pleasing and coherent.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully evokes the 'perfect day' vibe with warm lighting and smooth camera work. Video 1's visual glitches create an unintentional horror aesthetic.", "cat_winner": "Video 2"}], "reason": "Video 2 delivers a high-quality, coherent, and visually pleasing interpretation of the prompt, successfully capturing the atmosphere and subjects with stability. Video 1 suffers from severe morphological collapse, terrifying anatomical distortions, and physics hallucinations (floating objects), rendering it unusable despite attempting to include more specific actions.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 16.0, "total_score_2": 74.0, "elapsed_sec": 58.103} +{"pair_id": "026_seed_42", "sample_index": 26, "seed": 42, "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Spreadsheets & Stacks)\", \"reason_1\": \"Video 1 clearly displays the requested 'computer screen displaying spreadsheets' in the foreground and realistic stacks of paper.\", \"reason_2\": \"Video 2 shows a generic blue monitor bezel with no visible spreadsheets, and the background clutter is less distinct.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Fingers Tapping)\", \"reason_1\": \"Video 1 explicitly depicts the subject's hand entering the frame and tapping rhythmically on the desk as requested.\", \"reason_2\": \"Video 2 completely ignores the instruction for fingers tapping; the subject's hands remain static or out of frame.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Subject Attributes (Attire & Demographics)\", \"reason_1\": \"Video 1 accurately renders the Asian man in a crisp white shirt and navy tie.\", \"reason_2\": \"Video 2 also accurately renders the Asian man in a crisp white shirt and navy tie.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Camera Movement (Zoom In)\", \"reason_1\": \"Video 1 executes a smooth, cinematic zoom-in that focuses attention on the facial expression.\", \"reason_2\": \"Video 2 has a slight push-in, but it feels less intentional and more like a static shot with minor movement.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures all key semantic elements, including the specific computer screen content and the hand action, which Video 2 misses.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"The skin texture, hair, and paper details in Video 1 are sharp and photorealistic.\", \"reason_2\": \"Video 2 has a slightly 'waxy' or smoothed-over look common in lower-tier generations, lacking fine skin detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Facial Micro-Expression Realism\", \"reason_1\": \"The furrow of the brow and the mouth movement in Video 1 feel organic and reactive to the 'conversation'.\", \"reason_2\": \"The expression in Video 2 is somewhat static and stiff, lacking the subtle shifts described in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Depth of Field\", \"reason_1\": \"Video 1 uses depth of field effectively to separate the subject from the busy background, enhancing realism.\", \"reason_2\": \"Video 2 has flatter lighting and less effective separation between the subject and the background.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering, lighting, and motion fluidity compared to the slightly more artificial look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Frustration/Disbelief)\", \"reason_1\": \"The subject in Video 1 conveys a palpable sense of disbelief and frustration that aligns perfectly with the narrative.\", \"reason_2\": \"The subject in Video 2 looks more confused or mildly annoyed, lacking the intensity of 'unfair treatment'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is balanced, using the foreground monitor to create depth while keeping the face the focal point.\", \"reason_2\": \"Video 2's composition is a bit awkward, with the foreground element (the other person's shoulder) distracting from the main subject.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 captures the progression from listening to the silent protest (tapping), fulfilling the narrative arc.\", \"reason_2\": \"Video 2 feels like a single static moment rather than a progression of events.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 effectively conveys the emotional arc of frustration and silent protest through better acting and composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the specific physical actions requested in the prompt, particularly the 'fingers tapping rhythmically' and the clear visibility of 'spreadsheets' on the screen. Video 2 fails to depict the hand tapping action and lacks the specific screen details. Furthermore, Video 1 exhibits superior cinematic lighting, depth of field, and a more nuanced, realistic facial performance that better captures the requested emotions of disbelief and frustration.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Spreadsheets & Stacks)", "reason_1": "Video 1 clearly displays the requested 'computer screen displaying spreadsheets' in the foreground and realistic stacks of paper.", "reason_2": "Video 2 shows a generic blue monitor bezel with no visible spreadsheets, and the background clutter is less distinct.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Fingers Tapping)", "reason_1": "Video 1 explicitly depicts the subject's hand entering the frame and tapping rhythmically on the desk as requested.", "reason_2": "Video 2 completely ignores the instruction for fingers tapping; the subject's hands remain static or out of frame.", "score_1": 10, "score_2": 0}, {"name": "Subject Attributes (Attire & Demographics)", "reason_1": "Video 1 accurately renders the Asian man in a crisp white shirt and navy tie.", "reason_2": "Video 2 also accurately renders the Asian man in a crisp white shirt and navy tie.", "score_1": 5, "score_2": 5}, {"name": "Camera Movement (Zoom In)", "reason_1": "Video 1 executes a smooth, cinematic zoom-in that focuses attention on the facial expression.", "reason_2": "Video 2 has a slight push-in, but it feels less intentional and more like a static shot with minor movement.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures all key semantic elements, including the specific computer screen content and the hand action, which Video 2 misses.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Rendering", "reason_1": "The skin texture, hair, and paper details in Video 1 are sharp and photorealistic.", "reason_2": "Video 2 has a slightly 'waxy' or smoothed-over look common in lower-tier generations, lacking fine skin detail.", "score_1": 8, "score_2": 2}, {"name": "Facial Micro-Expression Realism", "reason_1": "The furrow of the brow and the mouth movement in Video 1 feel organic and reactive to the 'conversation'.", "reason_2": "The expression in Video 2 is somewhat static and stiff, lacking the subtle shifts described in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Depth of Field", "reason_1": "Video 1 uses depth of field effectively to separate the subject from the busy background, enhancing realism.", "reason_2": "Video 2 has flatter lighting and less effective separation between the subject and the background.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior texture rendering, lighting, and motion fluidity compared to the slightly more artificial look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Frustration/Disbelief)", "reason_1": "The subject in Video 1 conveys a palpable sense of disbelief and frustration that aligns perfectly with the narrative.", "reason_2": "The subject in Video 2 looks more confused or mildly annoyed, lacking the intensity of 'unfair treatment'.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is balanced, using the foreground monitor to create depth while keeping the face the focal point.", "reason_2": "Video 2's composition is a bit awkward, with the foreground element (the other person's shoulder) distracting from the main subject.", "score_1": 7, "score_2": 3}, {"name": "Narrative Progression", "reason_1": "Video 1 captures the progression from listening to the silent protest (tapping), fulfilling the narrative arc.", "reason_2": "Video 2 feels like a single static moment rather than a progression of events.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 effectively conveys the emotional arc of frustration and silent protest through better acting and composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the specific physical actions requested in the prompt, particularly the 'fingers tapping rhythmically' and the clear visibility of 'spreadsheets' on the screen. Video 2 fails to depict the hand tapping action and lacks the specific screen details. Furthermore, Video 1 exhibits superior cinematic lighting, depth of field, and a more nuanced, realistic facial performance that better captures the requested emotions of disbelief and frustration.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 77.0, "total_score_2": 23.0, "elapsed_sec": 60.709} +{"pair_id": "026_seed_310", "sample_index": 26, "seed": 310, "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_310_In a bustling office environment an Asian man in a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_310_In a bustling office environment an Asian man in a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_310_In a bustling office environment an Asian man in a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_310_In a bustling office environment an Asian man in a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Bustling Office)\", \"reason_1\": \"Video 1 depicts a cluttered, busy office with background activity, perfectly matching the 'bustling' descriptor.\", \"reason_2\": \"Video 2 shows a sterile, empty office with no background activity, failing to convey the 'bustling' atmosphere.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Fingers Tapping)\", \"reason_1\": \"Video 1 fails to generate the specific 'fingers tapping' action; the subject's hands remain clasped on the desk.\", \"reason_2\": \"Video 2 also fails to generate the tapping action, showing the subject with hands clasped throughout the clip.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Attributes & Attire\", \"reason_1\": \"Video 1 accurately renders the Asian man, white shirt, and navy tie with high detail.\", \"reason_2\": \"Video 2 accurately renders the requested subject and attire, though with slightly less texture detail.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Emotional Expression (Furrow/Disbelief)\", \"reason_1\": \"Video 1 captures a nuanced expression of disbelief and frustration that aligns well with the prompt's emotional arc.\", \"reason_2\": \"Video 2 displays a generic expression of concern that lacks the specific intensity of 'disbelief' or 'frustration'.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the environmental context of a 'bustling' office much better than Video 2. Both videos fail the specific instruction for 'fingers tapping', but Video 1's overall scene composition is more accurate to the text.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 features sharp, high-resolution textures on the skin, clothing, and paper stacks.\", \"reason_2\": \"Video 2 appears softer and flatter, lacking the crisp definition found in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Depth\", \"reason_1\": \"Video 1 utilizes cinematic lighting with good contrast and depth of field, separating the subject from the background.\", \"reason_2\": \"Video 2 uses flat, even lighting that makes the image look more like a stock photo than a cinematic scene.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent throughout the motion.\", \"reason_2\": \"The subject's identity is stable, though the lower detail makes it easier to maintain.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 demonstrates significantly higher production value with better lighting, texture, and depth of field compared to the flatter look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tension\", \"reason_1\": \"The cluttered environment and lighting in Video 1 successfully evoke the feeling of 'tension' and 'internal struggle' mentioned in the prompt.\", \"reason_2\": \"The clean, bright environment of Video 2 fails to convey any sense of tension or struggle.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a more professional angle and framing that emphasizes the subject's isolation amidst the chaos.\", \"reason_2\": \"Video 2 uses a standard, somewhat uninspired medium shot with less artistic merit.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Engagement\", \"reason_1\": \"The visual storytelling in Video 1 (the messy desk, the intense look) implies a story of unfair treatment effectively.\", \"reason_2\": \"Video 2 feels like a generic reaction shot without strong narrative weight.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a much stronger mood of tension and internal struggle through its composition and set design, whereas Video 2 feels emotionally neutral.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior adherence to the atmospheric requirements of the prompt and higher visual fidelity. It successfully depicts a 'bustling' environment with background activity and clutter, whereas Video 2 presents a sterile, empty office. While both videos fail to generate the specific 'fingers tapping' action, Video 1 excels in cinematic lighting, texture detail, and emotional expression, creating a much more convincing portrayal of the requested tension and frustration.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Bustling Office)", "reason_1": "Video 1 depicts a cluttered, busy office with background activity, perfectly matching the 'bustling' descriptor.", "reason_2": "Video 2 shows a sterile, empty office with no background activity, failing to convey the 'bustling' atmosphere.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Fingers Tapping)", "reason_1": "Video 1 fails to generate the specific 'fingers tapping' action; the subject's hands remain clasped on the desk.", "reason_2": "Video 2 also fails to generate the tapping action, showing the subject with hands clasped throughout the clip.", "score_1": 5, "score_2": 5}, {"name": "Subject Attributes & Attire", "reason_1": "Video 1 accurately renders the Asian man, white shirt, and navy tie with high detail.", "reason_2": "Video 2 accurately renders the requested subject and attire, though with slightly less texture detail.", "score_1": 5, "score_2": 5}, {"name": "Emotional Expression (Furrow/Disbelief)", "reason_1": "Video 1 captures a nuanced expression of disbelief and frustration that aligns well with the prompt's emotional arc.", "reason_2": "Video 2 displays a generic expression of concern that lacks the specific intensity of 'disbelief' or 'frustration'.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the environmental context of a 'bustling' office much better than Video 2. Both videos fail the specific instruction for 'fingers tapping', but Video 1's overall scene composition is more accurate to the text.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture", "reason_1": "Video 1 features sharp, high-resolution textures on the skin, clothing, and paper stacks.", "reason_2": "Video 2 appears softer and flatter, lacking the crisp definition found in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Depth", "reason_1": "Video 1 utilizes cinematic lighting with good contrast and depth of field, separating the subject from the background.", "reason_2": "Video 2 uses flat, even lighting that makes the image look more like a stock photo than a cinematic scene.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent throughout the motion.", "reason_2": "The subject's identity is stable, though the lower detail makes it easier to maintain.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 demonstrates significantly higher production value with better lighting, texture, and depth of field compared to the flatter look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tension", "reason_1": "The cluttered environment and lighting in Video 1 successfully evoke the feeling of 'tension' and 'internal struggle' mentioned in the prompt.", "reason_2": "The clean, bright environment of Video 2 fails to convey any sense of tension or struggle.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a more professional angle and framing that emphasizes the subject's isolation amidst the chaos.", "reason_2": "Video 2 uses a standard, somewhat uninspired medium shot with less artistic merit.", "score_1": 7, "score_2": 3}, {"name": "Narrative Engagement", "reason_1": "The visual storytelling in Video 1 (the messy desk, the intense look) implies a story of unfair treatment effectively.", "reason_2": "Video 2 feels like a generic reaction shot without strong narrative weight.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a much stronger mood of tension and internal struggle through its composition and set design, whereas Video 2 feels emotionally neutral.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior adherence to the atmospheric requirements of the prompt and higher visual fidelity. It successfully depicts a 'bustling' environment with background activity and clutter, whereas Video 2 presents a sterile, empty office. While both videos fail to generate the specific 'fingers tapping' action, Video 1 excels in cinematic lighting, texture detail, and emotional expression, creating a much more convincing portrayal of the requested tension and frustration.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 31.0, "elapsed_sec": 61.445} +{"pair_id": "026_seed_930", "sample_index": 26, "seed": 930, "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Emotional Specificity (Furrow & Clench)\", \"reason_1\": \"Video 1 perfectly captures the 'furrow of brow' and 'clench of jaw' with a distinct, readable expression of frustration.\", \"reason_2\": \"Video 2 shows a generic expression of confusion or mild shock, lacking the specific 'clench' or 'furrow' requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Finger Tapping)\", \"reason_1\": \"Video 1 clearly depicts the subject's fingers tapping rhythmically on the desk, a key prompt requirement.\", \"reason_2\": \"Video 2 shows the subject's hands mostly static or moving slightly, but completely misses the 'rhythmic tapping' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Spreadsheets & Clutter)\", \"reason_1\": \"Video 1 includes the paperwork and a screen, but the screen content is generic blue rather than distinct spreadsheets.\", \"reason_2\": \"Video 2 renders the computer screen with clear, legible spreadsheet data, adhering more strictly to that specific detail.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Subject Attributes (Attire & Demographics)\", \"reason_1\": \"Video 1 correctly features an Asian man in a white shirt and navy tie.\", \"reason_2\": \"Video 2 also correctly features an Asian man in a white shirt and navy tie.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 followed the specific behavioral instructions (tapping, facial expression) much more closely than Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Micro-Expression Realism\", \"reason_1\": \"The facial movements in Video 1 are nuanced and realistic, showing the tension in the muscles naturally.\", \"reason_2\": \"The facial movements in Video 2 feel slightly robotic and lack the organic micro-movements of a real human reaction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Lighting\", \"reason_1\": \"Video 1 has excellent lighting and sharpness, resembling high-quality stock footage.\", \"reason_2\": \"Video 2 has a slightly softer, more 'generated' look with less definition in the skin textures.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The motion is fluid and consistent throughout the clip.\", \"reason_2\": \"The motion is generally smooth, though the head turn feels slightly stiff.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 exhibits superior photorealism and naturalistic micro-expressions compared to the slightly stiffer animation of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Tone (Internal Struggle)\", \"reason_1\": \"The video effectively conveys the 'silent protest' and 'internal struggle' through the subject's body language.\", \"reason_2\": \"The video fails to convey a narrative of struggle; the subject simply looks surprised by something external.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement (Zoom Intent)\", \"reason_1\": \"The camera pushes in slightly, focusing attention on the face as requested.\", \"reason_2\": \"The camera is mostly static with a slight pan, lacking the intentional 'zoom in' to heighten tension.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Character Acting & Believability\", \"reason_1\": \"The character's reaction feels grounded and believable as a response to unfair treatment.\", \"reason_2\": \"The character's reaction feels disconnected from the implied context of the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully conveys the narrative of 'internal struggle' and 'silent protest' through acting and camera work.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it accurately captures the specific emotional nuances and physical actions requested in the prompt. It successfully depicts the 'furrowed brow,' 'clenched jaw,' and the 'rhythmic finger tapping,' creating a convincing portrayal of internal frustration. Video 2, while visually high-quality, fails to execute the specific acting cues, resulting in a generic expression of surprise rather than the requested complex mix of disbelief and frustration.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Emotional Specificity (Furrow & Clench)", "reason_1": "Video 1 perfectly captures the 'furrow of brow' and 'clench of jaw' with a distinct, readable expression of frustration.", "reason_2": "Video 2 shows a generic expression of confusion or mild shock, lacking the specific 'clench' or 'furrow' requested.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Finger Tapping)", "reason_1": "Video 1 clearly depicts the subject's fingers tapping rhythmically on the desk, a key prompt requirement.", "reason_2": "Video 2 shows the subject's hands mostly static or moving slightly, but completely misses the 'rhythmic tapping' instruction.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Spreadsheets & Clutter)", "reason_1": "Video 1 includes the paperwork and a screen, but the screen content is generic blue rather than distinct spreadsheets.", "reason_2": "Video 2 renders the computer screen with clear, legible spreadsheet data, adhering more strictly to that specific detail.", "score_1": 4, "score_2": 6}, {"name": "Subject Attributes (Attire & Demographics)", "reason_1": "Video 1 correctly features an Asian man in a white shirt and navy tie.", "reason_2": "Video 2 also correctly features an Asian man in a white shirt and navy tie.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 followed the specific behavioral instructions (tapping, facial expression) much more closely than Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Micro-Expression Realism", "reason_1": "The facial movements in Video 1 are nuanced and realistic, showing the tension in the muscles naturally.", "reason_2": "The facial movements in Video 2 feel slightly robotic and lack the organic micro-movements of a real human reaction.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Lighting", "reason_1": "Video 1 has excellent lighting and sharpness, resembling high-quality stock footage.", "reason_2": "Video 2 has a slightly softer, more 'generated' look with less definition in the skin textures.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Stability", "reason_1": "The motion is fluid and consistent throughout the clip.", "reason_2": "The motion is generally smooth, though the head turn feels slightly stiff.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 exhibits superior photorealism and naturalistic micro-expressions compared to the slightly stiffer animation of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Tone (Internal Struggle)", "reason_1": "The video effectively conveys the 'silent protest' and 'internal struggle' through the subject's body language.", "reason_2": "The video fails to convey a narrative of struggle; the subject simply looks surprised by something external.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement (Zoom Intent)", "reason_1": "The camera pushes in slightly, focusing attention on the face as requested.", "reason_2": "The camera is mostly static with a slight pan, lacking the intentional 'zoom in' to heighten tension.", "score_1": 7, "score_2": 3}, {"name": "Character Acting & Believability", "reason_1": "The character's reaction feels grounded and believable as a response to unfair treatment.", "reason_2": "The character's reaction feels disconnected from the implied context of the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully conveys the narrative of 'internal struggle' and 'silent protest' through acting and camera work.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it accurately captures the specific emotional nuances and physical actions requested in the prompt. It successfully depicts the 'furrowed brow,' 'clenched jaw,' and the 'rhythmic finger tapping,' creating a convincing portrayal of internal frustration. Video 2, while visually high-quality, fails to execute the specific acting cues, resulting in a generic expression of surprise rather than the requested complex mix of disbelief and frustration.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 29.0, "elapsed_sec": 62.235} +{"pair_id": "027_seed_42", "sample_index": 27, "seed": 42, "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Fidelity\", \"reason_1\": \"Video 1 generates the subjects, but their clothing and features are inconsistent and lack the 'vibrant' detail requested.\", \"reason_2\": \"Video 2 accurately depicts Asian teenagers in distinct, vibrant sportswear with consistent character designs.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Logic (Table Tennis Mechanics)\", \"reason_1\": \"The action in Video 1 is nonsensical; the table warps, and the ball physics are non-existent.\", \"reason_2\": \"Video 2 depicts a logical game with a stable table, a visible net, and players holding paddles in a realistic stance.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Greenery & Lighting)\", \"reason_1\": \"Video 1 shows a generic background that lacks the specific 'lush greenery' and 'warm glow' requested.\", \"reason_2\": \"Video 2 features a detailed background with trees and natural lighting that matches the 'outdoor court' and 'warm glow' description.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately renders the specific details of the prompt, including the vibrant sportswear, the lush greenery, and the logical mechanics of table tennis. Video 1 fails to maintain the structural integrity of the game equipment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Video 1 exhibits severe warping; the table tennis table changes shape and size constantly, and the net disappears.\", \"reason_2\": \"Video 2 maintains the rigid shape of the table and the consistent volume of the subjects throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The faces in Video 1 distort heavily during movement, losing identity and human likeness.\", \"reason_2\": \"The subjects in Video 2 maintain recognizable facial features and expressions even during rapid movement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is blurry, low-resolution, and contains significant generation noise.\", \"reason_2\": \"The video is sharp, clear, and has a high-quality, photorealistic look.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Joy & Concentration)\", \"reason_1\": \"The expressions are distorted and creepy due to the low quality, failing to convey 'joy'.\", \"reason_2\": \"Video 2 clearly shows the subjects smiling, shouting, and interacting, effectively capturing the 'laughter and shouts of encouragement'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"The camera movement is jerky and disorienting, often cutting off subjects awkwardly.\", \"reason_2\": \"The camera moves smoothly, following the action and framing the group dynamics effectively.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to the heavy distortion and lack of coherence.\", \"reason_2\": \"The video has a cinematic quality with good color grading and composition.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully captures the mood of 'joy' and 'team dynamics' through clear expressions and smooth camera work, whereas Video 1 is chaotic and visually unpleasant.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every technical and aesthetic metric. It delivers a photorealistic, stable, and emotionally resonant depiction of the prompt, maintaining subject identity and object permanence (the table tennis table) throughout. Video 1 suffers from severe morphological instability, with the table and players warping significantly, and fails to capture the requested high-energy atmosphere or visual fidelity.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Fidelity", "reason_1": "Video 1 generates the subjects, but their clothing and features are inconsistent and lack the 'vibrant' detail requested.", "reason_2": "Video 2 accurately depicts Asian teenagers in distinct, vibrant sportswear with consistent character designs.", "score_1": 3, "score_2": 7}, {"name": "Action Logic (Table Tennis Mechanics)", "reason_1": "The action in Video 1 is nonsensical; the table warps, and the ball physics are non-existent.", "reason_2": "Video 2 depicts a logical game with a stable table, a visible net, and players holding paddles in a realistic stance.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Greenery & Lighting)", "reason_1": "Video 1 shows a generic background that lacks the specific 'lush greenery' and 'warm glow' requested.", "reason_2": "Video 2 features a detailed background with trees and natural lighting that matches the 'outdoor court' and 'warm glow' description.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately renders the specific details of the prompt, including the vibrant sportswear, the lush greenery, and the logical mechanics of table tennis. Video 1 fails to maintain the structural integrity of the game equipment.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Video 1 exhibits severe warping; the table tennis table changes shape and size constantly, and the net disappears.", "reason_2": "Video 2 maintains the rigid shape of the table and the consistent volume of the subjects throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Subject Identity Persistence", "reason_1": "The faces in Video 1 distort heavily during movement, losing identity and human likeness.", "reason_2": "The subjects in Video 2 maintain recognizable facial features and expressions even during rapid movement.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is blurry, low-resolution, and contains significant generation noise.", "reason_2": "The video is sharp, clear, and has a high-quality, photorealistic look.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Joy & Concentration)", "reason_1": "The expressions are distorted and creepy due to the low quality, failing to convey 'joy'.", "reason_2": "Video 2 clearly shows the subjects smiling, shouting, and interacting, effectively capturing the 'laughter and shouts of encouragement'.", "score_1": 2, "score_2": 8}, {"name": "Camera Motion & Framing", "reason_1": "The camera movement is jerky and disorienting, often cutting off subjects awkwardly.", "reason_2": "The camera moves smoothly, following the action and framing the group dynamics effectively.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to the heavy distortion and lack of coherence.", "reason_2": "The video has a cinematic quality with good color grading and composition.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully captures the mood of 'joy' and 'team dynamics' through clear expressions and smooth camera work, whereas Video 1 is chaotic and visually unpleasant.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every technical and aesthetic metric. It delivers a photorealistic, stable, and emotionally resonant depiction of the prompt, maintaining subject identity and object permanence (the table tennis table) throughout. Video 1 suffers from severe morphological instability, with the table and players warping significantly, and fails to capture the requested high-energy atmosphere or visual fidelity.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 54.916} +{"pair_id": "027_seed_310", "sample_index": 27, "seed": 310, "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_310_A lively group of Asian teenagers dressed in vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_310_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_310_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_310_A lively group of Asian teenagers dressed in vibra.mp4", "swapped": false, "success": true, "model_output": "The user wants me to compare two videos based on a specific prompt. I need to evaluate them across three mandatory categories (Semantic Alignment, Video Quality, Narrative & Aesthetics) and up to two optional ones. I will select one optional category: 'Action Specificity & Physics' because the prompt describes a specific sport (table tennis) with specific actions (striking the ball).\n\n**Video 1 Analysis:**\n- **Semantic Alignment:** It shows Asian teenagers, sportswear, and a table tennis table. The setting is correct. However, the action is static; they are mostly standing around or making small, awkward movements rather than \"darting around.\" The specific instruction for a \"close-up of a paddle striking the ball\" is not clearly executed as a distinct narrative beat.\n- **Video Quality:** The video quality is poor. Faces are heavily distorted and morph constantly (e.g., the boy in the white shirt). The background characters are blurry and lack definition. The motion is jerky and unnatural.\n- **Narrative & Aesthetics:** The composition is flat and uninspired. The lighting is dull. The severe artifacts and morphing faces destroy any aesthetic appeal or narrative flow.\n- **Action Specificity:** The paddle interaction is non-existent or glitchy. The ball is barely visible or behaves like a ghost. There is no sense of a game being played.\n\n**Video 2 Analysis:**\n- **Semantic Alignment:** It captures the \"lively group,\" \"vibrant sportswear,\" and \"lush greenery\" very well. The expressions of \"concentration and joy\" are clearly visible. It attempts the camera shift to a close-up (though it focuses on the face rather than the paddle strike). The energy matches the prompt better than Video 1.\n- **Video Quality:** While still suffering from AI artifacts (morphing faces), the overall image is sharper, the colors are more vibrant, and the lighting is better. The motion blur is present but feels slightly more integrated into the action than the glitchy movement of Video 1.\n- **Narrative & Aesthetics:** The video has a more cinematic look with better depth of field and color grading. The composition changes (wide to close-up) create a sense of narrative progression, even if the specific action (paddle strike) is missed.\n- **Action Specificity:** The characters are cheering and moving, but the actual table tennis mechanics are flawed. Paddles merge with hands, and the ball physics are absent. It captures the *spirit* of the action but fails the *physics*.\n\n**Comparison:**\nVideo 2 is superior in almost every metric. It captures the energy, the specific lighting (\"warm glow\"), and the emotional tone (\"joy,\" \"laughter\") much better than Video 1. Video 1 is static, dull, and suffers from severe morphological instability. While both fail to perfectly render the specific physics of table tennis or the precise \"paddle striking ball\" close-up, Video 2 provides a much more visually pleasing and semantically aligned result regarding the atmosphere and setting.\n\n**Categories & Dimensions:**\n\n1. **A. Semantic Alignment & Accuracy**\n * *Subject & Attribute Fidelity:* Both videos generate the correct subjects (Asian teenagers) and clothing. Video 2's clothing looks more distinct and vibrant.\n * *Action & Movement Logic:* The prompt asks for \"swift movements\" and \"darting around.\" Video 2 shows active cheering and movement, whereas Video 1 is largely static.\n * *Environmental Context (Lighting/Greenery):* Video 2 captures the \"warm glow\" and \"lush greenery\" effectively. Video 1 looks washed out and flat.\n\n2. **B. Video Quality & Dynamic Realism**\n * *Morphological Stability (Faces):* Both fail here significantly. Faces melt and change shape. Video 2 is slightly more stable in the wide shots but breaks down in the close-up. Video 1 is unstable throughout.\n * *Visual Fidelity & Clarity:* Video 2 has better resolution, contrast, and color depth. Video 1 looks like a low-quality, blurry generation.\n * *Motion Smoothness:* Video 2 has smoother transitions between frames, despite the morphing. Video 1 is jerky.\n\n3. **C. Narrative, Aesthetics & Cinematography**\n * *Cinematic Composition & Depth:* Video 2 uses depth of field and framing changes to create a more professional look. Video 1 is flat.\n * *Emotional Impact (Joy/Energy):* Video 2 successfully conveys the \"lively\" and \"joyful\" mood requested. Video 1 feels awkward and lifeless.\n * *Camera Movement Quality:* Video 2 attempts a dynamic camera move (zoom/cut to close-up), aligning with the prompt's structural request. Video 1 has a shaky, handheld feel that adds nothing.\n\n4. **D. Action Specificity & Physics (Personalized Category)**\n * *Sport Mechanics (Paddle/Ball Interaction):* Both fail to show a realistic game. Video 2 is slightly better as the characters are at least positioned for a rally, whereas Video 1's positioning is confusing.\n * *Prompt-Specific Shot Execution (Close-up):* The prompt asks for a close-up of a *paddle striking the ball*. Video 2 provides a close-up of a *face*. Both fail this specific instruction, but Video 2's close-up is at least high quality.\n\n**Conclusion:** Video 2 wins due to better aesthetics, lighting, and energy, despite both videos struggling with the complex physics of the sport and facial stability.\n\n---\n**JSON Output Construction**\n- Fill in scores based on the reasoning above. Video 2 consistently scores higher.\n- Ensure valid JSON syntax.\n- Adhere to the formatting rules.\n\n(Self-Correction during drafting): Make sure to explicitly mention the failure of both to render the specific \"paddle striking ball\" close-up, but weigh Video 2's superior visual presentation heavily.\n\nFinal check of the prompt requirements: \"warm glow\", \"beads of sweat\", \"close-up of a paddle striking the ball\".\nVideo 2 has the glow. Video 1 does not.\nVideo 2 has a close-up (of a face). Video 1 has no distinct close-up.\nVideo 2 has better \"vibrant sportswear\".\nVideo 2 is the clear winner.\n\nFinal JSON structure preparation.\nCategory A: Semantic Alignment.\nCategory B: Video Quality.\nCategory C: Narrative & Aesthetics.\nCategory D: Action Specificity.\n\nScores:\nA: V1(3), V2(7)\nB: V1(2), V2(8)\nC: V1(3), V2(7)\nD: V1(4), V2(6)\n\nTotal: V1(9), V2(23). V2 wins.\nThe reasoning is solid. I will now generate the output.\n\n\n{\"prompt\": \"A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric & Lighting Fidelity\", \"reason_1\": \"Video 1 has flat, dull lighting that fails to capture the 'warm glow' or the 'lush' feeling of the environment.\", \"reason_2\": \"Video 2 successfully renders a warm, sunlit atmosphere with vibrant colors that match the 'lush greenery' and 'warm glow' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Expression & Energy\", \"reason_1\": \"The subjects in Video 1 appear stiff and their expressions are marred by distortion, failing to convey 'joy' or 'concentration'.\", \"reason_2\": \"Video 2 clearly depicts the 'laughter and shouts of encouragement' and 'joy' requested, with distinct facial expressions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Movement & Shot Progression\", \"reason_1\": \"Video 1 remains in a static wide shot throughout, ignoring the prompt's instruction for the scene to shift to a close-up.\", \"reason_2\": \"Video 2 attempts the requested narrative shift, moving from a group shot to a close-up (albeit of a face rather than the paddle), showing better adherence to the cinematic structure.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 aligns much closer to the atmospheric and emotional requirements of the prompt, capturing the 'warm glow' and 'lively' energy, whereas Video 1 is static and dull.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Color Grading\", \"reason_1\": \"The image is blurry, low-contrast, and lacks detail, resembling a low-quality generation.\", \"reason_2\": \"The video is sharp, with good contrast and vibrant color saturation that enhances the visual appeal.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability (Faces)\", \"reason_1\": \"Faces are heavily distorted and morph unnaturally throughout the clip, creating a disturbing effect.\", \"reason_2\": \"While still suffering from AI artifacts, the faces in Video 2 are more coherent in the wide shots and the close-up is relatively distinct.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"The motion is jerky and stilted, lacking the smoothness expected of a video.\", \"reason_2\": \"The motion is smoother and more fluid, better simulating the 'swift movements' requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers significantly better resolution, color grading, and motion fluidity compared to the low-fidelity and glitchy presentation of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The composition is flat and uninteresting, with no separation between subject and background.\", \"reason_2\": \"Video 2 utilizes depth of field effectively, separating the subjects from the background and creating a more professional look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"The video fails to evoke any positive emotion due to the uncanny valley effect of the distorted faces.\", \"reason_2\": \"The video successfully conveys a mood of youthful energy and fun, aligning with the 'spirited match' narrative.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to poor lighting and artifacts.\", \"reason_2\": \"Despite the physics errors, the video is visually engaging and colorful.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 presents a much more cinematic and aesthetically pleasing clip, utilizing depth of field and color to create a mood, whereas Video 1 looks like a raw, unpolished generation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Action Specificity & Physics\", \"dims\": [{\"name\": \"Sport Mechanics (Paddle/Ball Interaction)\", \"reason_1\": \"The interaction is barely visible; the ball is a blur and the paddles do not seem to make logical contact.\", \"reason_2\": \"While the physics are still flawed (paddles merging with hands), the characters are clearly engaged in the act of playing, making it slightly more recognizable as the sport.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Prompt-Specific Shot Execution (Close-up)\", \"reason_1\": \"Video 1 completely fails to provide the requested close-up shot.\", \"reason_2\": \"Video 2 provides a close-up shot. Although it misses the specific object (paddle) requested, it fulfills the structural requirement of a close-up better than Video 1.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Group Dynamics & Interaction\", \"reason_1\": \"The characters feel isolated in their own space, lacking the 'strong team dynamics' requested.\", \"reason_2\": \"The characters are cheering and reacting to each other, effectively showcasing the 'team dynamics' and 'shouts of encouragement'.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"While both videos fail to accurately render the physics of table tennis, Video 2 captures the 'spirit' of the action and the group dynamic better than the disjointed movements in Video 1.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, color grading, and emotional expression. It successfully captures the 'warm glow' and 'lively' atmosphere requested in the prompt, whereas Video 1 suffers from flat lighting and severe morphological distortion. While both videos struggle with the specific physics of the table tennis action and the precise 'paddle striking ball' close-up, Video 2 offers a more cinematic composition and better adherence to the requested camera movement (shifting to a close-up).\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric & Lighting Fidelity", "reason_1": "Video 1 has flat, dull lighting that fails to capture the 'warm glow' or the 'lush' feeling of the environment.", "reason_2": "Video 2 successfully renders a warm, sunlit atmosphere with vibrant colors that match the 'lush greenery' and 'warm glow' description.", "score_1": 2, "score_2": 8}, {"name": "Subject Expression & Energy", "reason_1": "The subjects in Video 1 appear stiff and their expressions are marred by distortion, failing to convey 'joy' or 'concentration'.", "reason_2": "Video 2 clearly depicts the 'laughter and shouts of encouragement' and 'joy' requested, with distinct facial expressions.", "score_1": 3, "score_2": 7}, {"name": "Camera Movement & Shot Progression", "reason_1": "Video 1 remains in a static wide shot throughout, ignoring the prompt's instruction for the scene to shift to a close-up.", "reason_2": "Video 2 attempts the requested narrative shift, moving from a group shot to a close-up (albeit of a face rather than the paddle), showing better adherence to the cinematic structure.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 aligns much closer to the atmospheric and emotional requirements of the prompt, capturing the 'warm glow' and 'lively' energy, whereas Video 1 is static and dull.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Color Grading", "reason_1": "The image is blurry, low-contrast, and lacks detail, resembling a low-quality generation.", "reason_2": "The video is sharp, with good contrast and vibrant color saturation that enhances the visual appeal.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability (Faces)", "reason_1": "Faces are heavily distorted and morph unnaturally throughout the clip, creating a disturbing effect.", "reason_2": "While still suffering from AI artifacts, the faces in Video 2 are more coherent in the wide shots and the close-up is relatively distinct.", "score_1": 3, "score_2": 7}, {"name": "Motion Fluidity", "reason_1": "The motion is jerky and stilted, lacking the smoothness expected of a video.", "reason_2": "The motion is smoother and more fluid, better simulating the 'swift movements' requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers significantly better resolution, color grading, and motion fluidity compared to the low-fidelity and glitchy presentation of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "The composition is flat and uninteresting, with no separation between subject and background.", "reason_2": "Video 2 utilizes depth of field effectively, separating the subjects from the background and creating a more professional look.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact & Mood", "reason_1": "The video fails to evoke any positive emotion due to the uncanny valley effect of the distorted faces.", "reason_2": "The video successfully conveys a mood of youthful energy and fun, aligning with the 'spirited match' narrative.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to poor lighting and artifacts.", "reason_2": "Despite the physics errors, the video is visually engaging and colorful.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 presents a much more cinematic and aesthetically pleasing clip, utilizing depth of field and color to create a mood, whereas Video 1 looks like a raw, unpolished generation.", "cat_winner": "Video 2"}, {"name": "D. Action Specificity & Physics", "dims": [{"name": "Sport Mechanics (Paddle/Ball Interaction)", "reason_1": "The interaction is barely visible; the ball is a blur and the paddles do not seem to make logical contact.", "reason_2": "While the physics are still flawed (paddles merging with hands), the characters are clearly engaged in the act of playing, making it slightly more recognizable as the sport.", "score_1": 4, "score_2": 6}, {"name": "Prompt-Specific Shot Execution (Close-up)", "reason_1": "Video 1 completely fails to provide the requested close-up shot.", "reason_2": "Video 2 provides a close-up shot. Although it misses the specific object (paddle) requested, it fulfills the structural requirement of a close-up better than Video 1.", "score_1": 1, "score_2": 9}, {"name": "Group Dynamics & Interaction", "reason_1": "The characters feel isolated in their own space, lacking the 'strong team dynamics' requested.", "reason_2": "The characters are cheering and reacting to each other, effectively showcasing the 'team dynamics' and 'shouts of encouragement'.", "score_1": 3, "score_2": 7}], "cat_reason": "While both videos fail to accurately render the physics of table tennis, Video 2 captures the 'spirit' of the action and the group dynamic better than the disjointed movements in Video 1.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, color grading, and emotional expression. It successfully captures the 'warm glow' and 'lively' atmosphere requested in the prompt, whereas Video 1 suffers from flat lighting and severe morphological distortion. While both videos struggle with the specific physics of the table tennis action and the precise 'paddle striking ball' close-up, Video 2 offers a more cinematic composition and better adherence to the requested camera movement (shifting to a close-up).", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 29.0, "total_score_2": 91.0, "elapsed_sec": 143.692} +{"pair_id": "027_seed_930", "sample_index": 27, "seed": 930, "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics (Age Group)\", \"reason_1\": \"Video 1 depicts subjects that appear to be primary school children (approx. 8-10 years old), which contradicts the prompt's request for 'teenagers'.\", \"reason_2\": \"Video 2 correctly depicts subjects that appear to be teenagers or young adults, aligning well with the prompt's demographic requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Dynamics (Agility & Footwork)\", \"reason_1\": \"The subjects in Video 1 are largely static, standing behind the net with minimal movement, failing to capture the 'swift movements' or 'darting' described.\", \"reason_2\": \"Video 2 captures the subjects leaning in, moving their bodies, and engaging in active play, much closer to the 'agile footwork' and 'intense game' requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmosphere & Emotional Tone\", \"reason_1\": \"Video 1 has a pleasant atmosphere but lacks the 'intense' and 'spirited' energy requested, feeling more like a casual practice.\", \"reason_2\": \"Video 2 successfully conveys high energy, 'concentration and joy', and the 'warm glow' of the sun, matching the prompt's emotional tone.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 aligns much closer to the prompt's specific requirements regarding the subjects' age and the intensity of the action.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Lighting\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and the image lacks the cinematic depth and 'warm glow' seen in the comparison.\", \"reason_2\": \"Video 2 features superior lighting with a distinct warm, sunny atmosphere and better depth of field, enhancing the realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Morphological Stability (Faces & Hands)\", \"reason_1\": \"Video 1 maintains relatively stable facial features and body shapes throughout the clip, with fewer obvious distortions.\", \"reason_2\": \"Video 2 suffers from noticeable morphing and distortion, particularly in the faces of the subjects during rapid movements.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"The motion in Video 1 is stiff and lacks the fluidity of real human movement.\", \"reason_2\": \"Despite some artifacts, the motion in Video 2 is fluid and energetic, better simulating the physics of a fast-paced sport.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Although Video 2 has some stability issues, its visual fidelity, lighting, and motion fluidity are superior to the static nature of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a standard, flat medium shot that feels uninspired and documentary-like.\", \"reason_2\": \"Video 2 utilizes dynamic angles, shallow depth of field, and closer framing to create a more engaging and cinematic look.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Energy (Spirited Match)\", \"reason_1\": \"The clip feels like a passive observation rather than a 'spirited match'.\", \"reason_2\": \"The clip successfully conveys the narrative of a competitive, fun, and intense game among friends.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Grading & Aesthetic Style\", \"reason_1\": \"The colors are natural but lack the 'vibrant' and 'warm' stylization requested.\", \"reason_2\": \"The color grading is vibrant and warm, effectively highlighting the sportswear and the outdoor setting.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a much more cinematic and aesthetically pleasing presentation that matches the 'vibrant' and 'lively' descriptors.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it accurately depicts the requested 'teenagers' and captures the 'intense', 'lively' energy and 'warm glow' described in the prompt. Video 1 fails significantly on the subject age (depicting young children instead of teenagers) and lacks the dynamic movement and spirited atmosphere required, presenting a static and passive scene.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics (Age Group)", "reason_1": "Video 1 depicts subjects that appear to be primary school children (approx. 8-10 years old), which contradicts the prompt's request for 'teenagers'.", "reason_2": "Video 2 correctly depicts subjects that appear to be teenagers or young adults, aligning well with the prompt's demographic requirement.", "score_1": 2, "score_2": 8}, {"name": "Action Dynamics (Agility & Footwork)", "reason_1": "The subjects in Video 1 are largely static, standing behind the net with minimal movement, failing to capture the 'swift movements' or 'darting' described.", "reason_2": "Video 2 captures the subjects leaning in, moving their bodies, and engaging in active play, much closer to the 'agile footwork' and 'intense game' requested.", "score_1": 2, "score_2": 8}, {"name": "Atmosphere & Emotional Tone", "reason_1": "Video 1 has a pleasant atmosphere but lacks the 'intense' and 'spirited' energy requested, feeling more like a casual practice.", "reason_2": "Video 2 successfully conveys high energy, 'concentration and joy', and the 'warm glow' of the sun, matching the prompt's emotional tone.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 aligns much closer to the prompt's specific requirements regarding the subjects' age and the intensity of the action.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Lighting", "reason_1": "The lighting in Video 1 is somewhat flat and the image lacks the cinematic depth and 'warm glow' seen in the comparison.", "reason_2": "Video 2 features superior lighting with a distinct warm, sunny atmosphere and better depth of field, enhancing the realism.", "score_1": 3, "score_2": 7}, {"name": "Morphological Stability (Faces & Hands)", "reason_1": "Video 1 maintains relatively stable facial features and body shapes throughout the clip, with fewer obvious distortions.", "reason_2": "Video 2 suffers from noticeable morphing and distortion, particularly in the faces of the subjects during rapid movements.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity & Physics", "reason_1": "The motion in Video 1 is stiff and lacks the fluidity of real human movement.", "reason_2": "Despite some artifacts, the motion in Video 2 is fluid and energetic, better simulating the physics of a fast-paced sport.", "score_1": 4, "score_2": 6}], "cat_reason": "Although Video 2 has some stability issues, its visual fidelity, lighting, and motion fluidity are superior to the static nature of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a standard, flat medium shot that feels uninspired and documentary-like.", "reason_2": "Video 2 utilizes dynamic angles, shallow depth of field, and closer framing to create a more engaging and cinematic look.", "score_1": 3, "score_2": 7}, {"name": "Narrative Energy (Spirited Match)", "reason_1": "The clip feels like a passive observation rather than a 'spirited match'.", "reason_2": "The clip successfully conveys the narrative of a competitive, fun, and intense game among friends.", "score_1": 2, "score_2": 8}, {"name": "Color Grading & Aesthetic Style", "reason_1": "The colors are natural but lack the 'vibrant' and 'warm' stylization requested.", "reason_2": "The color grading is vibrant and warm, effectively highlighting the sportswear and the outdoor setting.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a much more cinematic and aesthetically pleasing presentation that matches the 'vibrant' and 'lively' descriptors.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it accurately depicts the requested 'teenagers' and captures the 'intense', 'lively' energy and 'warm glow' described in the prompt. Video 1 fails significantly on the subject age (depicting young children instead of teenagers) and lacks the dynamic movement and spirited atmosphere required, presenting a static and passive scene.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 60.199} +{"pair_id": "028_seed_42", "sample_index": 28, "seed": 42, "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Attributes\", \"reason_1\": \"Video 1 correctly depicts an African girl with braided hair and a Japanese man. The attributes are distinct and accurate.\", \"reason_2\": \"Video 2 fails significantly; the girl appears to be of Asian descent with a ponytail rather than braids, missing the core demographic instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Skipping vs. Walking)\", \"reason_1\": \"Video 1 captures the 'energetic skip' and 'arms swinging freely' perfectly, contrasting well with the man's measured walk.\", \"reason_2\": \"Video 2 shows the girl walking or jogging stiffly; the specific 'skipping' motion is absent, and the movement feels generic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Cherry Blossoms)\", \"reason_1\": \"Video 1 features a lush background dominated by pink cherry blossoms, matching the prompt's setting explicitly.\", \"reason_2\": \"Video 2 shows a generic green park with very few, if any, visible cherry blossoms, failing to establish the specific atmosphere.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 followed the prompt's specific instructions regarding subject demographics and environmental details, whereas Video 2 failed to generate the correct ethnicity for the girl and the specific floral setting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.\", \"reason_2\": \"The man's face in Video 2 distorts and morphs significantly as he turns his head, breaking the illusion of reality.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"The girl's skipping motion in Video 1 is fluid and rhythmic, respecting the physics of her dress and hair.\", \"reason_2\": \"The motion in Video 2 is stiff and robotic, lacking the natural weight and momentum expected of a human walk.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp with good texture details on the suit and dress.\", \"reason_2\": \"Video 2 appears softer and has a more artificial, 'video game' aesthetic with less realistic lighting.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high stability and clarity, while Video 2 suffers from noticeable facial morphing and lower visual fidelity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Atmosphere\", \"reason_1\": \"The contrast between the colorful dress, the dark suit, and the pink blossoms creates a beautiful, harmonious palette.\", \"reason_2\": \"The color palette is dull and dominated by generic greens, lacking the vibrancy described in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Character Contrast & Mood\", \"reason_1\": \"Video 1 effectively visually communicates the contrast between the girl's joy and the man's composure.\", \"reason_2\": \"Video 2 fails to convey the emotional contrast; both characters look somewhat expressionless and disconnected.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 balances the two subjects well against the background, keeping them the focus.\", \"reason_2\": \"The framing in Video 2 is functional but uninspired, with a flatter depth of field.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a visually pleasing and emotionally resonant scene that matches the 'harmonious' description, while Video 2 feels flat and disjointed.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it accurately renders the specific demographic requirements (African girl, Japanese man) and the environmental context (cherry blossoms) which Video 2 largely fails to achieve. Furthermore, Video 1 captures the distinct contrasting gaits (skipping vs. walking) with high visual fidelity and stability, whereas Video 2 suffers from facial morphing, incorrect subject attributes, and a lack of specific environmental details.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Attributes", "reason_1": "Video 1 correctly depicts an African girl with braided hair and a Japanese man. The attributes are distinct and accurate.", "reason_2": "Video 2 fails significantly; the girl appears to be of Asian descent with a ponytail rather than braids, missing the core demographic instruction.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Skipping vs. Walking)", "reason_1": "Video 1 captures the 'energetic skip' and 'arms swinging freely' perfectly, contrasting well with the man's measured walk.", "reason_2": "Video 2 shows the girl walking or jogging stiffly; the specific 'skipping' motion is absent, and the movement feels generic.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Cherry Blossoms)", "reason_1": "Video 1 features a lush background dominated by pink cherry blossoms, matching the prompt's setting explicitly.", "reason_2": "Video 2 shows a generic green park with very few, if any, visible cherry blossoms, failing to establish the specific atmosphere.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 followed the prompt's specific instructions regarding subject demographics and environmental details, whereas Video 2 failed to generate the correct ethnicity for the girl and the specific floral setting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.", "reason_2": "The man's face in Video 2 distorts and morphs significantly as he turns his head, breaking the illusion of reality.", "score_1": 8, "score_2": 2}, {"name": "Motion Fluidity & Physics", "reason_1": "The girl's skipping motion in Video 1 is fluid and rhythmic, respecting the physics of her dress and hair.", "reason_2": "The motion in Video 2 is stiff and robotic, lacking the natural weight and momentum expected of a human walk.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp with good texture details on the suit and dress.", "reason_2": "Video 2 appears softer and has a more artificial, 'video game' aesthetic with less realistic lighting.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high stability and clarity, while Video 2 suffers from noticeable facial morphing and lower visual fidelity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Atmosphere", "reason_1": "The contrast between the colorful dress, the dark suit, and the pink blossoms creates a beautiful, harmonious palette.", "reason_2": "The color palette is dull and dominated by generic greens, lacking the vibrancy described in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Character Contrast & Mood", "reason_1": "Video 1 effectively visually communicates the contrast between the girl's joy and the man's composure.", "reason_2": "Video 2 fails to convey the emotional contrast; both characters look somewhat expressionless and disconnected.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 balances the two subjects well against the background, keeping them the focus.", "reason_2": "The framing in Video 2 is functional but uninspired, with a flatter depth of field.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a visually pleasing and emotionally resonant scene that matches the 'harmonious' description, while Video 2 feels flat and disjointed.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it accurately renders the specific demographic requirements (African girl, Japanese man) and the environmental context (cherry blossoms) which Video 2 largely fails to achieve. Furthermore, Video 1 captures the distinct contrasting gaits (skipping vs. walking) with high visual fidelity and stability, whereas Video 2 suffers from facial morphing, incorrect subject attributes, and a lack of specific environmental details.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 63.639} +{"pair_id": "028_seed_310", "sample_index": 28, "seed": 310, "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_310_In a sun-dappled park a lively 10-year-old African.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_310_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_310_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_310_In a sun-dappled park a lively 10-year-old African.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Girl's Appearance)\", \"reason_1\": \"Video 1 accurately depicts the girl with the requested braided hair and a distinct, colorful dress with a rainbow skirt.\", \"reason_2\": \"Video 2 fails to render the braided hair (showing pigtails instead) and the dress appears as a generic, morphing patterned bodysuit rather than a dress.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Skipping vs. Walking)\", \"reason_1\": \"Video 1 captures the 'energetic skip' and 'rhythmic pattern' of the girl's movement effectively, contrasting well with the man's stride.\", \"reason_2\": \"Video 2 shows the girl walking or running awkwardly with no distinct skipping motion, failing to capture the 'contrasting gaits' described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Cherry Blossoms)\", \"reason_1\": \"Video 1 places the subjects clearly under blooming cherry blossom trees, matching the 'sun-dappled park' setting perfectly.\", \"reason_2\": \"Video 2 features a generic green park background where the cherry blossoms are indistinct and lack prominence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 adheres strictly to the descriptive details of the prompt, particularly regarding the girl's appearance and the specific action of skipping, which Video 2 fails to execute convincingly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Form)\", \"reason_1\": \"The subjects in Video 1 maintain consistent body shapes and clothing structures throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe morphing; the girl's arms and dress texture shift and distort unnaturally with every step.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The man's face in Video 1 remains recognizable and relatively stable, though slightly stiff.\", \"reason_2\": \"The man's face in Video 2 distorts significantly, with features shifting and blurring as the camera moves.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The movement in Video 1 is fluid and grounded, with the skipping motion following a logical physical arc.\", \"reason_2\": \"The motion in Video 2 is jerky and unnatural, with the girl appearing to slide or float rather than step.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable image with consistent character identities, whereas Video 2 suffers from significant hallucinations, morphing artifacts, and facial distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Sun-dappled/Joyful)\", \"reason_1\": \"Video 1 utilizes warm lighting and vibrant colors to successfully evoke the 'joyful spontaneity' and 'sun-dappled' atmosphere.\", \"reason_2\": \"Video 2 has flatter, cooler lighting that feels less inviting and fails to capture the specific mood of the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 frames the subjects well against the background, keeping the focus on their interaction and contrasting movements.\", \"reason_2\": \"Video 2's framing is functional but the background blur and lack of depth make the composition feel cluttered and less cinematic.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Expression (Intergenerational Connection)\", \"reason_1\": \"The clear contrast between the skipping girl and the composed man in Video 1 effectively tells the story of 'youth vs. experience'.\", \"reason_2\": \"Due to the awkward motion and lack of distinct skipping, the narrative contrast is lost in Video 2.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a much more pleasing and coherent visual narrative, effectively using lighting and color to convey the requested mood.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior semantic alignment and technical stability. It accurately renders the specific attributes of the girl (braids, colorful dress) and the environment (distinct cherry blossoms), while maintaining a stable visual consistency. Video 2 suffers from severe morphological instability, fails to render the girl's specific hairstyle, and lacks the distinct 'skipping' motion requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Girl's Appearance)", "reason_1": "Video 1 accurately depicts the girl with the requested braided hair and a distinct, colorful dress with a rainbow skirt.", "reason_2": "Video 2 fails to render the braided hair (showing pigtails instead) and the dress appears as a generic, morphing patterned bodysuit rather than a dress.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Skipping vs. Walking)", "reason_1": "Video 1 captures the 'energetic skip' and 'rhythmic pattern' of the girl's movement effectively, contrasting well with the man's stride.", "reason_2": "Video 2 shows the girl walking or running awkwardly with no distinct skipping motion, failing to capture the 'contrasting gaits' described.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Cherry Blossoms)", "reason_1": "Video 1 places the subjects clearly under blooming cherry blossom trees, matching the 'sun-dappled park' setting perfectly.", "reason_2": "Video 2 features a generic green park background where the cherry blossoms are indistinct and lack prominence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 adheres strictly to the descriptive details of the prompt, particularly regarding the girl's appearance and the specific action of skipping, which Video 2 fails to execute convincingly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Form)", "reason_1": "The subjects in Video 1 maintain consistent body shapes and clothing structures throughout the clip.", "reason_2": "Video 2 exhibits severe morphing; the girl's arms and dress texture shift and distort unnaturally with every step.", "score_1": 8, "score_2": 2}, {"name": "Facial Identity Persistence", "reason_1": "The man's face in Video 1 remains recognizable and relatively stable, though slightly stiff.", "reason_2": "The man's face in Video 2 distorts significantly, with features shifting and blurring as the camera moves.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Physics", "reason_1": "The movement in Video 1 is fluid and grounded, with the skipping motion following a logical physical arc.", "reason_2": "The motion in Video 2 is jerky and unnatural, with the girl appearing to slide or float rather than step.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable image with consistent character identities, whereas Video 2 suffers from significant hallucinations, morphing artifacts, and facial distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Sun-dappled/Joyful)", "reason_1": "Video 1 utilizes warm lighting and vibrant colors to successfully evoke the 'joyful spontaneity' and 'sun-dappled' atmosphere.", "reason_2": "Video 2 has flatter, cooler lighting that feels less inviting and fails to capture the specific mood of the prompt.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 frames the subjects well against the background, keeping the focus on their interaction and contrasting movements.", "reason_2": "Video 2's framing is functional but the background blur and lack of depth make the composition feel cluttered and less cinematic.", "score_1": 7, "score_2": 3}, {"name": "Narrative Expression (Intergenerational Connection)", "reason_1": "The clear contrast between the skipping girl and the composed man in Video 1 effectively tells the story of 'youth vs. experience'.", "reason_2": "Due to the awkward motion and lack of distinct skipping, the narrative contrast is lost in Video 2.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a much more pleasing and coherent visual narrative, effectively using lighting and color to convey the requested mood.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior semantic alignment and technical stability. It accurately renders the specific attributes of the girl (braids, colorful dress) and the environment (distinct cherry blossoms), while maintaining a stable visual consistency. Video 2 suffers from severe morphological instability, fails to render the girl's specific hairstyle, and lacks the distinct 'skipping' motion requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 61.31} +{"pair_id": "028_seed_930", "sample_index": 28, "seed": 930, "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Age & Attire)\", \"reason_1\": \"Video 1 accurately depicts a 10-year-old girl and a man who appears to be around 40 in a suit. The attributes are distinct and correct.\", \"reason_2\": \"Video 2 fails significantly; the man appears elderly (60+) rather than 40, and his face is heavily distorted. The girl's features are also inconsistent.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Skipping vs. Walking)\", \"reason_1\": \"Video 1 clearly distinguishes the girl's skipping motion from the man's measured walk, fulfilling the 'contrasting gaits' requirement.\", \"reason_2\": \"Video 2 shows both subjects walking with a similar, somewhat stiff gait. The girl's skipping action is lost in the morphing artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Cherry Blossoms)\", \"reason_1\": \"Video 1 features a clear, vibrant background with distinct cherry blossom trees and greenery as requested.\", \"reason_2\": \"Video 2 has a blurry, generic park background where the specific 'cherry blossom' detail is less distinct and often obscured by artifacts.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 correctly identifies and renders the specific ages and actions described. Video 2 fails to render the man as '40-year-old' (he appears elderly) and fails to depict the 'skipping' action clearly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'face melting' and morphing, particularly on the man, destroying any sense of realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body Structure)\", \"reason_1\": \"The bodies in Video 1 maintain their volume and shape consistently during movement.\", \"reason_2\": \"The subjects in Video 2 warp and distort significantly; the man's shoulders and the girl's limbs fluctuate in size and shape.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and natural. The skipping motion follows a logical physical arc.\", \"reason_2\": \"The motion is jerky and unnatural, with the subjects appearing to slide or float rather than step.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations, face melting, and temporal flickering.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced wide shot that captures both subjects and the environment effectively.\", \"reason_2\": \"Video 2's framing is awkward, often cutting off parts of the subjects or placing them in a confusing spatial relationship.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Sun-dappled/Joyful)\", \"reason_1\": \"The lighting in Video 1 is bright and warm, matching the 'sun-dappled' and 'joyful' description.\", \"reason_2\": \"The lighting in Video 2 is flatter and the visual glitches create an uncanny, disturbing mood rather than a joyful one.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Clarity (Intergenerational Connection)\", \"reason_1\": \"The clear interaction and distinct roles (playful vs. composed) make the narrative of connection clear.\", \"reason_2\": \"The narrative is lost because the subjects look like they are struggling to exist rather than interacting meaningfully.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a cohesive, aesthetically pleasing scene that matches the 'sun-dappled' and 'harmonious' mood. Video 2 is visually disturbing due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It accurately renders the specific ages and actions of the subjects (a young girl skipping, a middle-aged man walking composedly) with high visual fidelity and stability. Video 2 suffers from severe morphological instability, with the man appearing significantly older than requested and his face melting/distorting throughout the clip. Video 1 also captures the environmental details (cherry blossoms) and the specific contrasting gaits much more effectively.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Age & Attire)", "reason_1": "Video 1 accurately depicts a 10-year-old girl and a man who appears to be around 40 in a suit. The attributes are distinct and correct.", "reason_2": "Video 2 fails significantly; the man appears elderly (60+) rather than 40, and his face is heavily distorted. The girl's features are also inconsistent.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Skipping vs. Walking)", "reason_1": "Video 1 clearly distinguishes the girl's skipping motion from the man's measured walk, fulfilling the 'contrasting gaits' requirement.", "reason_2": "Video 2 shows both subjects walking with a similar, somewhat stiff gait. The girl's skipping action is lost in the morphing artifacts.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Cherry Blossoms)", "reason_1": "Video 1 features a clear, vibrant background with distinct cherry blossom trees and greenery as requested.", "reason_2": "Video 2 has a blurry, generic park background where the specific 'cherry blossom' detail is less distinct and often obscured by artifacts.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 correctly identifies and renders the specific ages and actions described. Video 2 fails to render the man as '40-year-old' (he appears elderly) and fails to depict the 'skipping' action clearly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.", "reason_2": "Video 2 exhibits severe 'face melting' and morphing, particularly on the man, destroying any sense of realism.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body Structure)", "reason_1": "The bodies in Video 1 maintain their volume and shape consistently during movement.", "reason_2": "The subjects in Video 2 warp and distort significantly; the man's shoulders and the girl's limbs fluctuate in size and shape.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and natural. The skipping motion follows a logical physical arc.", "reason_2": "The motion is jerky and unnatural, with the subjects appearing to slide or float rather than step.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations, face melting, and temporal flickering.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Composition & Framing", "reason_1": "Video 1 uses a balanced wide shot that captures both subjects and the environment effectively.", "reason_2": "Video 2's framing is awkward, often cutting off parts of the subjects or placing them in a confusing spatial relationship.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Sun-dappled/Joyful)", "reason_1": "The lighting in Video 1 is bright and warm, matching the 'sun-dappled' and 'joyful' description.", "reason_2": "The lighting in Video 2 is flatter and the visual glitches create an uncanny, disturbing mood rather than a joyful one.", "score_1": 9, "score_2": 1}, {"name": "Narrative Clarity (Intergenerational Connection)", "reason_1": "The clear interaction and distinct roles (playful vs. composed) make the narrative of connection clear.", "reason_2": "The narrative is lost because the subjects look like they are struggling to exist rather than interacting meaningfully.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a cohesive, aesthetically pleasing scene that matches the 'sun-dappled' and 'harmonious' mood. Video 2 is visually disturbing due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It accurately renders the specific ages and actions of the subjects (a young girl skipping, a middle-aged man walking composedly) with high visual fidelity and stability. Video 2 suffers from severe morphological instability, with the man appearing significantly older than requested and his face melting/distorting throughout the clip. Video 1 also captures the environmental details (cherry blossoms) and the specific contrasting gaits much more effectively.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 62.41} +{"pair_id": "029_seed_42", "sample_index": 29, "seed": 42, "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Decor)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit studio' with 'soft lighting' and a minimalist background, creating the requested serene mood.\", \"reason_2\": \"Video 2 presents a brightly lit room with heavy curtains, completely missing the 'dimly lit' and 'minimalist' descriptors.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Gown & Hair)\", \"reason_1\": \"The subject wears a gown that appears to be made of silk, and the hair sways naturally as requested.\", \"reason_2\": \"While the subject is correct, the gown lacks the specific 'silk' texture definition, appearing more generic, and the hair movement is less distinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Action Fidelity (Twirls & Fluidity)\", \"reason_1\": \"The dancer performs the requested twirls with a sense of weight and precision.\", \"reason_2\": \"The dancer performs the actions, but the movement feels slightly more mechanical and less 'elegant' than Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately renders the specific environmental cues (dimly lit, minimalist) and the material attributes (silk), whereas Video 2 fails to capture the requested lighting atmosphere.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Cloth Physics & Simulation (Silk Dynamics)\", \"reason_1\": \"The fabric moves with realistic weight, drag, and folding, perfectly matching the 'billows like waves' description.\", \"reason_2\": \"The dress movement is stiff and lacks the complex folding and flowing physics expected of silk.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity & Facial Stability\", \"reason_1\": \"The subject's face remains relatively consistent and recognizable throughout the rotation.\", \"reason_2\": \"The subject's facial features distort and blur significantly during the spin, losing identity coherence.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Clarity\", \"reason_1\": \"The video maintains good sharpness during fast motion.\", \"reason_2\": \"There is noticeable motion blur and loss of detail during the rapid movements.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior physics simulation for the clothing and better temporal stability for the subject's face compared to Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Contrast\", \"reason_1\": \"The use of spotlights against a dark background creates the 'contrast' and 'artistry' explicitly requested in the prompt.\", \"reason_2\": \"The lighting is flat and uniform, lacking any dramatic or artistic contrast.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Appeal & Mood\", \"reason_1\": \"The clip feels like a professional performance recording, evoking the 'serene' and 'mesmerizing' mood.\", \"reason_2\": \"The clip feels like a raw, unpolished generation with a mundane background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Execution\", \"reason_1\": \"The camera circles smoothly, keeping the subject well-framed and enhancing the 3D depth.\", \"reason_2\": \"The camera movement is present but feels slightly less intentional in its framing of the subject.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 achieves a cinematic look through excellent lighting contrast and composition, fulfilling the 'mesmerizing visual symphony' aspect of the prompt.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the atmospheric requirements of the prompt, specifically the 'dimly lit' and 'minimalist' studio setting, which Video 2 fails to achieve. Furthermore, Video 1 exhibits significantly superior cloth physics, rendering the 'flowing red silk gown' with realistic weight and fluidity, whereas Video 2's fabric appears stiffer. The lighting contrast in Video 1 also enhances the aesthetic appeal, aligning better with the requested 'artistry'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Decor)", "reason_1": "Video 1 perfectly captures the 'dimly lit studio' with 'soft lighting' and a minimalist background, creating the requested serene mood.", "reason_2": "Video 2 presents a brightly lit room with heavy curtains, completely missing the 'dimly lit' and 'minimalist' descriptors.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Gown & Hair)", "reason_1": "The subject wears a gown that appears to be made of silk, and the hair sways naturally as requested.", "reason_2": "While the subject is correct, the gown lacks the specific 'silk' texture definition, appearing more generic, and the hair movement is less distinct.", "score_1": 7, "score_2": 3}, {"name": "Action Fidelity (Twirls & Fluidity)", "reason_1": "The dancer performs the requested twirls with a sense of weight and precision.", "reason_2": "The dancer performs the actions, but the movement feels slightly more mechanical and less 'elegant' than Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately renders the specific environmental cues (dimly lit, minimalist) and the material attributes (silk), whereas Video 2 fails to capture the requested lighting atmosphere.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Cloth Physics & Simulation (Silk Dynamics)", "reason_1": "The fabric moves with realistic weight, drag, and folding, perfectly matching the 'billows like waves' description.", "reason_2": "The dress movement is stiff and lacks the complex folding and flowing physics expected of silk.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity & Facial Stability", "reason_1": "The subject's face remains relatively consistent and recognizable throughout the rotation.", "reason_2": "The subject's facial features distort and blur significantly during the spin, losing identity coherence.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Clarity", "reason_1": "The video maintains good sharpness during fast motion.", "reason_2": "There is noticeable motion blur and loss of detail during the rapid movements.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior physics simulation for the clothing and better temporal stability for the subject's face compared to Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Contrast", "reason_1": "The use of spotlights against a dark background creates the 'contrast' and 'artistry' explicitly requested in the prompt.", "reason_2": "The lighting is flat and uniform, lacking any dramatic or artistic contrast.", "score_1": 9, "score_2": 1}, {"name": "Visual Appeal & Mood", "reason_1": "The clip feels like a professional performance recording, evoking the 'serene' and 'mesmerizing' mood.", "reason_2": "The clip feels like a raw, unpolished generation with a mundane background.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Execution", "reason_1": "The camera circles smoothly, keeping the subject well-framed and enhancing the 3D depth.", "reason_2": "The camera movement is present but feels slightly less intentional in its framing of the subject.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 achieves a cinematic look through excellent lighting contrast and composition, fulfilling the 'mesmerizing visual symphony' aspect of the prompt.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the atmospheric requirements of the prompt, specifically the 'dimly lit' and 'minimalist' studio setting, which Video 2 fails to achieve. Furthermore, Video 1 exhibits significantly superior cloth physics, rendering the 'flowing red silk gown' with realistic weight and fluidity, whereas Video 2's fabric appears stiffer. The lighting contrast in Video 1 also enhances the aesthetic appeal, aligning better with the requested 'artistry'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 55.815} +{"pair_id": "029_seed_310", "sample_index": 29, "seed": 310, "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_310_In a serene dimly lit studio a graceful Chinese wo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_310_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_310_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_310_In a serene dimly lit studio a graceful Chinese wo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Decor)\", \"reason_1\": \"Video 1 perfectly renders the 'dimly lit studio' with 'soft lighting' and 'minimalist decor' (wooden pillars), creating the requested serene mood.\", \"reason_2\": \"Video 2 ignores the 'dimly lit' instruction, presenting a brightly lit room with harsh spotlights and curtains, resembling a standard dance practice space rather than an artistic studio.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Gown & Hair)\", \"reason_1\": \"The subject wears a gown that appears to be 'silk' with distinct texture, and the hair is long and dark as requested.\", \"reason_2\": \"While the subject is correct, the gown lacks the specific 'silk' texture definition, appearing more like generic red fabric, and the hair movement is less distinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Action Fidelity (Twirls & Camera Movement)\", \"reason_1\": \"The video executes the 'camera circles around her' instruction smoothly while maintaining the dancer's focus.\", \"reason_2\": \"The camera movement is present but feels less intentional, and the dancer's movements are marred by the morphing of the dress, reducing the sense of 'precision'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the specific atmospheric and environmental details requested, whereas Video 2 fails to match the lighting and setting description.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Dress Physics)\", \"reason_1\": \"The complex red gown maintains its volume and shape consistently during the spin, with realistic folding.\", \"reason_2\": \"The dress suffers from severe hallucination; the fabric merges with the dancer's arms and body, losing structural logic during the spin.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The dancer's facial features remain relatively consistent and recognizable throughout the rotation.\", \"reason_2\": \"The subject's face distorts significantly during the movement, losing identity and becoming blurry.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear definition between the subject and the background.\", \"reason_2\": \"The video has a softer, lower-resolution look with noticeable blurring around the moving limbs.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior stability in handling complex motion, particularly the physics of the flowing dress, which is a common failure point in AI video.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"The lighting is dramatic and moody, effectively highlighting the dancer and creating the 'mesmerizing visual symphony' described.\", \"reason_2\": \"The lighting is flat and functional, lacking any artistic or emotional weight.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Expression of Grace & Artistry\", \"reason_1\": \"The slow-motion effect and fluid camera work enhance the perception of 'grace' and 'elegance'.\", \"reason_2\": \"The jerky motion and lack of atmospheric support make the dance feel mechanical rather than artistic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is well-framed within the architectural elements of the room, creating a balanced composition.\", \"reason_2\": \"The framing is somewhat loose, and the background elements (curtains) distract from the subject.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 achieves a cinematic look that elevates the content to the 'artistry' level described in the prompt, while Video 2 feels like raw footage.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the atmospheric constraints of the prompt ('dimly lit', 'serene', 'soft lighting') and maintains high morphological stability during the complex motion of the spinning dress. Video 2 fails to capture the requested lighting atmosphere, presenting a bright, generic studio, and suffers from significant distortion and loss of subject identity during the dance movements.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Decor)", "reason_1": "Video 1 perfectly renders the 'dimly lit studio' with 'soft lighting' and 'minimalist decor' (wooden pillars), creating the requested serene mood.", "reason_2": "Video 2 ignores the 'dimly lit' instruction, presenting a brightly lit room with harsh spotlights and curtains, resembling a standard dance practice space rather than an artistic studio.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Gown & Hair)", "reason_1": "The subject wears a gown that appears to be 'silk' with distinct texture, and the hair is long and dark as requested.", "reason_2": "While the subject is correct, the gown lacks the specific 'silk' texture definition, appearing more like generic red fabric, and the hair movement is less distinct.", "score_1": 7, "score_2": 3}, {"name": "Action Fidelity (Twirls & Camera Movement)", "reason_1": "The video executes the 'camera circles around her' instruction smoothly while maintaining the dancer's focus.", "reason_2": "The camera movement is present but feels less intentional, and the dancer's movements are marred by the morphing of the dress, reducing the sense of 'precision'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the specific atmospheric and environmental details requested, whereas Video 2 fails to match the lighting and setting description.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Dress Physics)", "reason_1": "The complex red gown maintains its volume and shape consistently during the spin, with realistic folding.", "reason_2": "The dress suffers from severe hallucination; the fabric merges with the dancer's arms and body, losing structural logic during the spin.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The dancer's facial features remain relatively consistent and recognizable throughout the rotation.", "reason_2": "The subject's face distorts significantly during the movement, losing identity and becoming blurry.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear definition between the subject and the background.", "reason_2": "The video has a softer, lower-resolution look with noticeable blurring around the moving limbs.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior stability in handling complex motion, particularly the physics of the flowing dress, which is a common failure point in AI video.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "The lighting is dramatic and moody, effectively highlighting the dancer and creating the 'mesmerizing visual symphony' described.", "reason_2": "The lighting is flat and functional, lacking any artistic or emotional weight.", "score_1": 9, "score_2": 1}, {"name": "Expression of Grace & Artistry", "reason_1": "The slow-motion effect and fluid camera work enhance the perception of 'grace' and 'elegance'.", "reason_2": "The jerky motion and lack of atmospheric support make the dance feel mechanical rather than artistic.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The subject is well-framed within the architectural elements of the room, creating a balanced composition.", "reason_2": "The framing is somewhat loose, and the background elements (curtains) distract from the subject.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 achieves a cinematic look that elevates the content to the 'artistry' level described in the prompt, while Video 2 feels like raw footage.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the atmospheric constraints of the prompt ('dimly lit', 'serene', 'soft lighting') and maintains high morphological stability during the complex motion of the spinning dress. Video 2 fails to capture the requested lighting atmosphere, presenting a bright, generic studio, and suffers from significant distortion and loss of subject identity during the dance movements.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 59.446} +{"pair_id": "029_seed_930", "sample_index": 29, "seed": 930, "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Decor)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit studio' with soft, moody lighting and minimalist decor (curtains, plant) as requested.\", \"reason_2\": \"Video 2 ignores the 'dimly lit' instruction, presenting a bright, high-key studio with a plain white wall and harsh lighting.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Gown & Hair)\", \"reason_1\": \"The subject wears a gown that resembles traditional silk with appropriate weight and flow, and the hair is long and dark, swaying naturally.\", \"reason_2\": \"The gown appears more like a modern, sheer chiffon dress rather than the implied traditional silk, and the hair movement is less distinct.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Twirls & Fluidity)\", \"reason_1\": \"The dancer performs a continuous, fluid twirl that aligns well with the prompt's request for an 'elegant routine'.\", \"reason_2\": \"The movement is disjointed and jerky, lacking the 'fluidity' and 'precision' explicitly requested in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'dimly lit studio' and the specific 'silk gown' aesthetic, whereas Video 2 presents a bright, white-walled room that contradicts the atmospheric description.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Face)\", \"reason_1\": \"The dancer's face remains consistent and recognizable throughout the rotation.\", \"reason_2\": \"The subject's face morphs significantly between frames, changing features and structure, which breaks realism.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cloth Physics & Simulation\", \"reason_1\": \"The fabric moves with realistic momentum and weight, billowing naturally as the dancer spins.\", \"reason_2\": \"The fabric movement is erratic and glitchy, often clipping through the subject or moving without logical physical cause.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability (Motion Smoothness)\", \"reason_1\": \"The video plays smoothly with consistent frame pacing.\", \"reason_2\": \"The video suffers from stuttering and jumpy transitions, making the motion feel unnatural.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable subject identity and realistic physics. Video 2 suffers from severe temporal instability, with the subject's face morphing and the motion appearing jerky.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Circling Effect)\", \"reason_1\": \"The camera effectively simulates a circling motion around the subject, enhancing the 3D feel of the dance.\", \"reason_2\": \"The camera angle is largely static or shifts awkwardly, failing to create the dynamic 'circling' effect requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Mood (Serenity & Grace)\", \"reason_1\": \"The combination of lighting, color palette, and slow motion creates the 'serene' and 'graceful' mood perfectly.\", \"reason_2\": \"The bright, clinical lighting and jerky motion destroy any sense of serenity or grace.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"The subject is well-framed, and the background elements balance the shot without distracting from the dancer.\", \"reason_2\": \"The framing is somewhat loose, and the plain background offers no compositional interest.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully executes the requested camera movement and establishes the correct emotional tone. Video 2 lacks cinematic intent and feels like a raw, unpolished generation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully adheres to the atmospheric requirements of the prompt (dimly lit, serene) and maintains high temporal stability. Video 2 fails to match the lighting description, presenting a bright, sterile environment, and suffers from significant morphological instability in the subject's face and motion.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Decor)", "reason_1": "Video 1 perfectly captures the 'dimly lit studio' with soft, moody lighting and minimalist decor (curtains, plant) as requested.", "reason_2": "Video 2 ignores the 'dimly lit' instruction, presenting a bright, high-key studio with a plain white wall and harsh lighting.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Gown & Hair)", "reason_1": "The subject wears a gown that resembles traditional silk with appropriate weight and flow, and the hair is long and dark, swaying naturally.", "reason_2": "The gown appears more like a modern, sheer chiffon dress rather than the implied traditional silk, and the hair movement is less distinct.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Twirls & Fluidity)", "reason_1": "The dancer performs a continuous, fluid twirl that aligns well with the prompt's request for an 'elegant routine'.", "reason_2": "The movement is disjointed and jerky, lacking the 'fluidity' and 'precision' explicitly requested in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'dimly lit studio' and the specific 'silk gown' aesthetic, whereas Video 2 presents a bright, white-walled room that contradicts the atmospheric description.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Face)", "reason_1": "The dancer's face remains consistent and recognizable throughout the rotation.", "reason_2": "The subject's face morphs significantly between frames, changing features and structure, which breaks realism.", "score_1": 8, "score_2": 2}, {"name": "Cloth Physics & Simulation", "reason_1": "The fabric moves with realistic momentum and weight, billowing naturally as the dancer spins.", "reason_2": "The fabric movement is erratic and glitchy, often clipping through the subject or moving without logical physical cause.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability (Motion Smoothness)", "reason_1": "The video plays smoothly with consistent frame pacing.", "reason_2": "The video suffers from stuttering and jumpy transitions, making the motion feel unnatural.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable subject identity and realistic physics. Video 2 suffers from severe temporal instability, with the subject's face morphing and the motion appearing jerky.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Circling Effect)", "reason_1": "The camera effectively simulates a circling motion around the subject, enhancing the 3D feel of the dance.", "reason_2": "The camera angle is largely static or shifts awkwardly, failing to create the dynamic 'circling' effect requested.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Mood (Serenity & Grace)", "reason_1": "The combination of lighting, color palette, and slow motion creates the 'serene' and 'graceful' mood perfectly.", "reason_2": "The bright, clinical lighting and jerky motion destroy any sense of serenity or grace.", "score_1": 9, "score_2": 1}, {"name": "Visual Composition & Framing", "reason_1": "The subject is well-framed, and the background elements balance the shot without distracting from the dancer.", "reason_2": "The framing is somewhat loose, and the plain background offers no compositional interest.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully executes the requested camera movement and establishes the correct emotional tone. Video 2 lacks cinematic intent and feels like a raw, unpolished generation.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully adheres to the atmospheric requirements of the prompt (dimly lit, serene) and maintains high temporal stability. Video 2 fails to match the lighting description, presenting a bright, sterile environment, and suffers from significant morphological instability in the subject's face and motion.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 58.601} +{"pair_id": "030_seed_42", "sample_index": 30, "seed": 42, "prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_42_A static camera captures a seamless sequence as a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_42_A static camera captures a seamless sequence as a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_42_A static camera captures a seamless sequence as a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_42_A static camera captures a seamless sequence as a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Fidelity (Lighting & Mood)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'mysterious' atmosphere requested.\", \"reason_2\": \"Video 2 presents a brightly lit, sterile room that completely ignores the 'dimly lit' and 'mystery' constraints.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Sequence Completeness (Enter, Pause, Exit)\", \"reason_1\": \"Video 1 depicts the full sequence: entering, pausing to look, and exiting the frame.\", \"reason_2\": \"Video 2 fails to show the subject entering or exiting; the subject simply walks across the middle of the room and stops.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Coat, Hat, Silhouette)\", \"reason_1\": \"Video 1 renders the long coat and hat correctly, and attempts the 'silhouette' effect via backlighting.\", \"reason_2\": \"Video 2 renders the clothing but fails the 'silhouette' requirement due to the flat, bright lighting.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 adheres strictly to the atmospheric and action-based requirements of the prompt, whereas Video 2 fails to generate the correct lighting conditions and the required entry/exit actions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is somewhat blurry and lacks high-frequency detail.\", \"reason_2\": \"Video 2 is crisp, clear, and has high texture resolution on the floor and walls.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject in Video 1 remains consistent in form and clothing throughout the clip.\", \"reason_2\": \"The subject in Video 2 completely vanishes from the frame halfway through the video, a major hallucination failure.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Grounding & Physics\", \"reason_1\": \"The movement in Video 1 feels slightly 'floaty' and lacks weight.\", \"reason_2\": \"Video 2 displays realistic foot placement and weight distribution while the subject is visible.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"While Video 2 has superior static image quality, it suffers from a catastrophic failure in subject persistence (the subject disappears). Video 1 is lower resolution but maintains the subject's existence throughout.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Flow & Closure\", \"reason_1\": \"Video 1 has a clear beginning (entry), middle (search), and end (exit), fulfilling the narrative arc.\", \"reason_2\": \"Video 2 feels like a random fragment with no start or conclusion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Tone & Color Grading\", \"reason_1\": \"The color grading in Video 1 evokes a vintage, noir-like mystery appropriate for the prompt.\", \"reason_2\": \"The lighting in Video 2 is clinical and flat, lacking any cinematic aesthetic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses the doorway to frame the subject, adding depth and interest.\", \"reason_2\": \"Video 2 uses a flat, wide shot that feels impersonal and staged.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully tells the short story described in the prompt with a cinematic tone. Video 2 lacks narrative closure and aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific atmospheric requirements (dim lighting, mystery) and the complete narrative arc (entering, pausing, and exiting). Video 2, while having higher resolution, fails significantly on semantic alignment by presenting a brightly lit room instead of a dim one, and the subject vanishes mid-clip rather than performing the requested exit action.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Fidelity (Lighting & Mood)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'mysterious' atmosphere requested.", "reason_2": "Video 2 presents a brightly lit, sterile room that completely ignores the 'dimly lit' and 'mystery' constraints.", "score_1": 9, "score_2": 1}, {"name": "Action Sequence Completeness (Enter, Pause, Exit)", "reason_1": "Video 1 depicts the full sequence: entering, pausing to look, and exiting the frame.", "reason_2": "Video 2 fails to show the subject entering or exiting; the subject simply walks across the middle of the room and stops.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Coat, Hat, Silhouette)", "reason_1": "Video 1 renders the long coat and hat correctly, and attempts the 'silhouette' effect via backlighting.", "reason_2": "Video 2 renders the clothing but fails the 'silhouette' requirement due to the flat, bright lighting.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 adheres strictly to the atmospheric and action-based requirements of the prompt, whereas Video 2 fails to generate the correct lighting conditions and the required entry/exit actions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is somewhat blurry and lacks high-frequency detail.", "reason_2": "Video 2 is crisp, clear, and has high texture resolution on the floor and walls.", "score_1": 3, "score_2": 7}, {"name": "Subject Identity Persistence", "reason_1": "The subject in Video 1 remains consistent in form and clothing throughout the clip.", "reason_2": "The subject in Video 2 completely vanishes from the frame halfway through the video, a major hallucination failure.", "score_1": 8, "score_2": 2}, {"name": "Motion Grounding & Physics", "reason_1": "The movement in Video 1 feels slightly 'floaty' and lacks weight.", "reason_2": "Video 2 displays realistic foot placement and weight distribution while the subject is visible.", "score_1": 4, "score_2": 6}], "cat_reason": "While Video 2 has superior static image quality, it suffers from a catastrophic failure in subject persistence (the subject disappears). Video 1 is lower resolution but maintains the subject's existence throughout.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Flow & Closure", "reason_1": "Video 1 has a clear beginning (entry), middle (search), and end (exit), fulfilling the narrative arc.", "reason_2": "Video 2 feels like a random fragment with no start or conclusion.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Tone & Color Grading", "reason_1": "The color grading in Video 1 evokes a vintage, noir-like mystery appropriate for the prompt.", "reason_2": "The lighting in Video 2 is clinical and flat, lacking any cinematic aesthetic.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 uses the doorway to frame the subject, adding depth and interest.", "reason_2": "Video 2 uses a flat, wide shot that feels impersonal and staged.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully tells the short story described in the prompt with a cinematic tone. Video 2 lacks narrative closure and aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific atmospheric requirements (dim lighting, mystery) and the complete narrative arc (entering, pausing, and exiting). Video 2, while having higher resolution, fails significantly on semantic alignment by presenting a brightly lit room instead of a dim one, and the subject vanishes mid-clip rather than performing the requested exit action.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 53.666} +{"pair_id": "030_seed_310", "sample_index": 30, "seed": 310, "prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_310_A static camera captures a seamless sequence as a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_310_A static camera captures a seamless sequence as a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_310_A static camera captures a seamless sequence as a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_310_A static camera captures a seamless sequence as a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Sequence Completeness (Enter, Pause, Exit)\", \"reason_1\": \"Video 1 clearly depicts the character entering, pausing to look around, and exiting the frame, fulfilling the core narrative arc.\", \"reason_2\": \"Video 2 shows the character entering and walking, but the video cuts or loops before the character exits or interacts with a second door, failing the prompt's conclusion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Atmosphere (Lighting & Mystery)\", \"reason_1\": \"Video 1 successfully renders a 'dimly lit' room with shadows that evoke the requested 'air of mystery'.\", \"reason_2\": \"Video 2 is too bright and evenly lit, resembling a standard daytime interior rather than a mysterious, dimly lit scene.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes & Action Specificity\", \"reason_1\": \"The subject in Video 1 wears the correct attire and performs the specific 'glancing around' action described.\", \"reason_2\": \"While the attire is correct, the subject in Video 2 simply walks past the furniture without the specific searching behavior requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the full sequence of events and the specific atmospheric requirements, whereas Video 2 misses the ending and the mood.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 is somewhat soft and grainy, lacking the crisp definition of the furniture and floor textures.\", \"reason_2\": \"Video 2 displays high-resolution textures on the armchair and floor, with a very clean, sharp image.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness (Gait & Weight)\", \"reason_1\": \"The character in Video 1 moves with a natural weight and cadence appropriate for someone walking in a coat.\", \"reason_2\": \"The character in Video 2 has a slightly stiff, 'gliding' motion that feels less grounded in physical reality.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Temporal Stability (Consistency)\", \"reason_1\": \"Video 1 maintains subject consistency well throughout the clip.\", \"reason_2\": \"Video 2 is also very stable with no flickering or morphing artifacts.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 offers superior image sharpness and texture definition, although Video 1 has more natural motion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Mood & Tone\", \"reason_1\": \"Video 1 perfectly nails the noir/mystery aesthetic with its color grading and shadow play.\", \"reason_2\": \"Video 2 lacks emotional resonance or specific mood, appearing flat and clinical.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses the doorway effectively to frame the subject, enhancing the sense of voyeurism and mystery.\", \"reason_2\": \"Video 2 uses a standard, flat composition that is functional but artistically uninspired.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Pacing & Flow\", \"reason_1\": \"The pacing in Video 1 allows for the 'pause' and 'search' to feel deliberate and significant.\", \"reason_2\": \"Video 2 feels rushed and incomplete, lacking the narrative beats required to tell the story.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 excels in creating a cinematic mood that aligns with the prompt's mystery theme, whereas Video 2 feels sterile.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the complete narrative arc (enter, pause/search, exit) and successfully establishes the requested 'dimly lit' and 'mysterious' atmosphere. Video 2, while having higher texture resolution, fails to capture the correct lighting mood (appearing too bright) and fails to depict the character exiting the room or interacting with a second door as requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Sequence Completeness (Enter, Pause, Exit)", "reason_1": "Video 1 clearly depicts the character entering, pausing to look around, and exiting the frame, fulfilling the core narrative arc.", "reason_2": "Video 2 shows the character entering and walking, but the video cuts or loops before the character exits or interacts with a second door, failing the prompt's conclusion.", "score_1": 9, "score_2": 1}, {"name": "Environmental Atmosphere (Lighting & Mystery)", "reason_1": "Video 1 successfully renders a 'dimly lit' room with shadows that evoke the requested 'air of mystery'.", "reason_2": "Video 2 is too bright and evenly lit, resembling a standard daytime interior rather than a mysterious, dimly lit scene.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes & Action Specificity", "reason_1": "The subject in Video 1 wears the correct attire and performs the specific 'glancing around' action described.", "reason_2": "While the attire is correct, the subject in Video 2 simply walks past the furniture without the specific searching behavior requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the full sequence of events and the specific atmospheric requirements, whereas Video 2 misses the ending and the mood.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 is somewhat soft and grainy, lacking the crisp definition of the furniture and floor textures.", "reason_2": "Video 2 displays high-resolution textures on the armchair and floor, with a very clean, sharp image.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness (Gait & Weight)", "reason_1": "The character in Video 1 moves with a natural weight and cadence appropriate for someone walking in a coat.", "reason_2": "The character in Video 2 has a slightly stiff, 'gliding' motion that feels less grounded in physical reality.", "score_1": 7, "score_2": 3}, {"name": "Temporal Stability (Consistency)", "reason_1": "Video 1 maintains subject consistency well throughout the clip.", "reason_2": "Video 2 is also very stable with no flickering or morphing artifacts.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 offers superior image sharpness and texture definition, although Video 1 has more natural motion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Mood & Tone", "reason_1": "Video 1 perfectly nails the noir/mystery aesthetic with its color grading and shadow play.", "reason_2": "Video 2 lacks emotional resonance or specific mood, appearing flat and clinical.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses the doorway effectively to frame the subject, enhancing the sense of voyeurism and mystery.", "reason_2": "Video 2 uses a standard, flat composition that is functional but artistically uninspired.", "score_1": 7, "score_2": 3}, {"name": "Narrative Pacing & Flow", "reason_1": "The pacing in Video 1 allows for the 'pause' and 'search' to feel deliberate and significant.", "reason_2": "Video 2 feels rushed and incomplete, lacking the narrative beats required to tell the story.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 excels in creating a cinematic mood that aligns with the prompt's mystery theme, whereas Video 2 feels sterile.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the complete narrative arc (enter, pause/search, exit) and successfully establishes the requested 'dimly lit' and 'mysterious' atmosphere. Video 2, while having higher texture resolution, fails to capture the correct lighting mood (appearing too bright) and fails to depict the character exiting the room or interacting with a second door as requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 57.335} +{"pair_id": "030_seed_930", "sample_index": 30, "seed": 930, "prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Fidelity (Lighting & Mood)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'mystery' requirements with appropriate shadowing and contrast.\", \"reason_2\": \"Video 2 completely ignores the lighting instruction, presenting a bright, evenly lit room that lacks any sense of mystery.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Sequence Completeness (Enter-Pause-Exit)\", \"reason_1\": \"Video 1 depicts the full sequence: entering, pausing to look, and exiting through the opposite door.\", \"reason_2\": \"Video 2 fails to show the character entering; the character simply materializes in the middle of the room, breaking the narrative logic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Coat, Hat, Furniture)\", \"reason_1\": \"Video 1 correctly renders the long coat, hat, vintage armchair, and table.\", \"reason_2\": \"Video 2 also correctly identifies and renders the required clothing and furniture items.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres strictly to the atmospheric and narrative constraints, whereas Video 2 fails the lighting instruction and the entry sequence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Temporal Stability)\", \"reason_1\": \"The character in Video 1 remains consistent in form and presence throughout the clip.\", \"reason_2\": \"Video 2 exhibits a severe hallucination artifact where the character pops into existence out of thin air, destroying realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Naturalness (Walking Physics)\", \"reason_1\": \"The walking motion in Video 1 is relatively grounded and purposeful.\", \"reason_2\": \"The motion in Video 2 is stiff and unnatural, exacerbated by the sudden appearance of the subject.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Clarity & Texture Resolution\", \"reason_1\": \"Video 1 is slightly softer and grainier, though this aids the vintage aesthetic.\", \"reason_2\": \"Video 2 has sharper textures and higher perceived resolution, despite the logical flaws.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 maintains subject permanence and realistic motion, while Video 2 suffers from a critical generation failure (pop-in).\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Tone & Color Grading\", \"reason_1\": \"Video 1 utilizes a desaturated, moody color palette that effectively evokes the requested 'air of mystery'.\", \"reason_2\": \"Video 2 uses flat, bright lighting that feels clinical and devoid of the requested cinematic atmosphere.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow & Pacing\", \"reason_1\": \"The clip flows logically from entry to exit, feeling like a complete scene.\", \"reason_2\": \"The narrative is broken by the glitchy start, making the sequence feel disjointed and incomplete.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 allows for the character's movement through the space to be clearly observed.\", \"reason_2\": \"The framing in Video 2 is static but the sudden appearance of the subject disrupts the visual balance.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully creates a cinematic 'film noir' aesthetic that matches the prompt's intent, while Video 2 feels like a sterile technical demo.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the 'dimly lit' and 'mysterious' atmosphere requested in the prompt, whereas Video 2 is too brightly lit. Furthermore, Video 1 depicts a coherent narrative sequence where the character enters, pauses, and exits naturally. In contrast, Video 2 suffers from a severe temporal hallucination where the character abruptly 'pops' into existence in the middle of the room, failing the basic requirement of a seamless sequence.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Fidelity (Lighting & Mood)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'mystery' requirements with appropriate shadowing and contrast.", "reason_2": "Video 2 completely ignores the lighting instruction, presenting a bright, evenly lit room that lacks any sense of mystery.", "score_1": 9, "score_2": 1}, {"name": "Action Sequence Completeness (Enter-Pause-Exit)", "reason_1": "Video 1 depicts the full sequence: entering, pausing to look, and exiting through the opposite door.", "reason_2": "Video 2 fails to show the character entering; the character simply materializes in the middle of the room, breaking the narrative logic.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Coat, Hat, Furniture)", "reason_1": "Video 1 correctly renders the long coat, hat, vintage armchair, and table.", "reason_2": "Video 2 also correctly identifies and renders the required clothing and furniture items.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres strictly to the atmospheric and narrative constraints, whereas Video 2 fails the lighting instruction and the entry sequence.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Temporal Stability)", "reason_1": "The character in Video 1 remains consistent in form and presence throughout the clip.", "reason_2": "Video 2 exhibits a severe hallucination artifact where the character pops into existence out of thin air, destroying realism.", "score_1": 9, "score_2": 1}, {"name": "Motion Naturalness (Walking Physics)", "reason_1": "The walking motion in Video 1 is relatively grounded and purposeful.", "reason_2": "The motion in Video 2 is stiff and unnatural, exacerbated by the sudden appearance of the subject.", "score_1": 7, "score_2": 3}, {"name": "Visual Clarity & Texture Resolution", "reason_1": "Video 1 is slightly softer and grainier, though this aids the vintage aesthetic.", "reason_2": "Video 2 has sharper textures and higher perceived resolution, despite the logical flaws.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 maintains subject permanence and realistic motion, while Video 2 suffers from a critical generation failure (pop-in).", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Tone & Color Grading", "reason_1": "Video 1 utilizes a desaturated, moody color palette that effectively evokes the requested 'air of mystery'.", "reason_2": "Video 2 uses flat, bright lighting that feels clinical and devoid of the requested cinematic atmosphere.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow & Pacing", "reason_1": "The clip flows logically from entry to exit, feeling like a complete scene.", "reason_2": "The narrative is broken by the glitchy start, making the sequence feel disjointed and incomplete.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 allows for the character's movement through the space to be clearly observed.", "reason_2": "The framing in Video 2 is static but the sudden appearance of the subject disrupts the visual balance.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully creates a cinematic 'film noir' aesthetic that matches the prompt's intent, while Video 2 feels like a sterile technical demo.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the 'dimly lit' and 'mysterious' atmosphere requested in the prompt, whereas Video 2 is too brightly lit. Furthermore, Video 1 depicts a coherent narrative sequence where the character enters, pauses, and exits naturally. In contrast, Video 2 suffers from a severe temporal hallucination where the character abruptly 'pops' into existence in the middle of the room, failing the basic requirement of a seamless sequence.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 71.177} +{"pair_id": "031_seed_42", "sample_index": 31, "seed": 42, "prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_42_The camera zooms in on nimble fingers deftly assem.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_42_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_42_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_42_The camera zooms in on nimble fingers deftly assem.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Fidelity (Zoom & Pull Back)\", \"reason_1\": \"Video 1 maintains a static close-up shot throughout, completely ignoring the explicit instruction to 'zoom in' and then 'pull back' to reveal the model.\", \"reason_2\": \"Video 2 executes a clear camera movement that starts closer to the action and pulls back to reveal the context and the model, aligning well with the prompt's narrative structure.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Definition (Complex Mechanical Model)\", \"reason_1\": \"The object in Video 1 is an amorphous, shifting blob of blue and white textures that lacks the definition of a 'complex mechanical model' or 'gears'.\", \"reason_2\": \"Video 2 renders a distinct, intricate mechanical structure with visible gears and components, accurately reflecting the 'masterpiece of engineering' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Logic (Deft Assembly)\", \"reason_1\": \"The hands in Video 1 move, but the interaction with the object is vague; parts do not seem to 'click into place' but rather morph into one another.\", \"reason_2\": \"Video 2 depicts hands manipulating specific parts of the model in a way that suggests assembly and alignment, fitting the description of 'deftly assembling'.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 follows the prompt's structural and subject requirements much more closely, particularly regarding the camera movement and the definition of the mechanical model.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Video 1 exhibits severe temporal instability; the mechanical parts constantly change shape, size, and texture, breaking the illusion of a solid object.\", \"reason_2\": \"Video 2 maintains the rigid shape of the mechanical model throughout the clip, with only minor flickering, demonstrating much higher temporal coherence.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Texture Realism\", \"reason_1\": \"The textures in Video 1 are muddy and blurred, lacking the sharpness required to show 'intricate details'.\", \"reason_2\": \"Video 2 features sharp, realistic textures on both the wooden table and the metallic/plastic components of the model.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Anatomical Consistency (Hands)\", \"reason_1\": \"The hands in Video 1 occasionally blend into the object or lose structural integrity during movement.\", \"reason_2\": \"The hands in Video 2 are anatomically consistent and interact with the object without clipping or merging artifacts.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior stability and realism. Video 1 is plagued by severe hallucinations and morphing artifacts that destroy the illusion of reality.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Assembly to Reveal)\", \"reason_1\": \"Video 1 feels like a random, looping clip with no beginning, middle, or end, failing to convey the 'culmination' mentioned in the prompt.\", \"reason_2\": \"Video 2 has a clear progression from working on the details to a wider shot that showcases the result, effectively telling the story of the assembly process.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and the background is indistinct, failing to create the 'gleaming' atmosphere requested.\", \"reason_2\": \"Video 2 utilizes soft, natural lighting that highlights the model against a clean background, matching the 'soft light' description.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The constant morphing and lack of focus make Video 1 visually confusing and unappealing.\", \"reason_2\": \"Video 2 is clean, professional, and visually coherent, making it a much more pleasing and effective generation.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully captures the narrative arc of craftsmanship implied by the prompt, whereas Video 1 is a static, repetitive loop with no narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully executes the specific camera movement instructions (zooming in and pulling back) and maintains high morphological stability of the complex mechanical model. Video 1 suffers from severe temporal inconsistency, where the object and hands constantly morph and lose shape, failing to depict a coherent assembly process or the requested camera narrative.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Fidelity (Zoom & Pull Back)", "reason_1": "Video 1 maintains a static close-up shot throughout, completely ignoring the explicit instruction to 'zoom in' and then 'pull back' to reveal the model.", "reason_2": "Video 2 executes a clear camera movement that starts closer to the action and pulls back to reveal the context and the model, aligning well with the prompt's narrative structure.", "score_1": 1, "score_2": 9}, {"name": "Subject Definition (Complex Mechanical Model)", "reason_1": "The object in Video 1 is an amorphous, shifting blob of blue and white textures that lacks the definition of a 'complex mechanical model' or 'gears'.", "reason_2": "Video 2 renders a distinct, intricate mechanical structure with visible gears and components, accurately reflecting the 'masterpiece of engineering' description.", "score_1": 2, "score_2": 8}, {"name": "Action Logic (Deft Assembly)", "reason_1": "The hands in Video 1 move, but the interaction with the object is vague; parts do not seem to 'click into place' but rather morph into one another.", "reason_2": "Video 2 depicts hands manipulating specific parts of the model in a way that suggests assembly and alignment, fitting the description of 'deftly assembling'.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 follows the prompt's structural and subject requirements much more closely, particularly regarding the camera movement and the definition of the mechanical model.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Video 1 exhibits severe temporal instability; the mechanical parts constantly change shape, size, and texture, breaking the illusion of a solid object.", "reason_2": "Video 2 maintains the rigid shape of the mechanical model throughout the clip, with only minor flickering, demonstrating much higher temporal coherence.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Texture Realism", "reason_1": "The textures in Video 1 are muddy and blurred, lacking the sharpness required to show 'intricate details'.", "reason_2": "Video 2 features sharp, realistic textures on both the wooden table and the metallic/plastic components of the model.", "score_1": 3, "score_2": 7}, {"name": "Anatomical Consistency (Hands)", "reason_1": "The hands in Video 1 occasionally blend into the object or lose structural integrity during movement.", "reason_2": "The hands in Video 2 are anatomically consistent and interact with the object without clipping or merging artifacts.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior stability and realism. Video 1 is plagued by severe hallucinations and morphing artifacts that destroy the illusion of reality.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Assembly to Reveal)", "reason_1": "Video 1 feels like a random, looping clip with no beginning, middle, or end, failing to convey the 'culmination' mentioned in the prompt.", "reason_2": "Video 2 has a clear progression from working on the details to a wider shot that showcases the result, effectively telling the story of the assembly process.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Atmosphere", "reason_1": "The lighting in Video 1 is somewhat flat and the background is indistinct, failing to create the 'gleaming' atmosphere requested.", "reason_2": "Video 2 utilizes soft, natural lighting that highlights the model against a clean background, matching the 'soft light' description.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The constant morphing and lack of focus make Video 1 visually confusing and unappealing.", "reason_2": "Video 2 is clean, professional, and visually coherent, making it a much more pleasing and effective generation.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully captures the narrative arc of craftsmanship implied by the prompt, whereas Video 1 is a static, repetitive loop with no narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully executes the specific camera movement instructions (zooming in and pulling back) and maintains high morphological stability of the complex mechanical model. Video 1 suffers from severe temporal inconsistency, where the object and hands constantly morph and lose shape, failing to depict a coherent assembly process or the requested camera narrative.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 62.09} +{"pair_id": "031_seed_310", "sample_index": 31, "seed": 310, "prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_310_The camera zooms in on nimble fingers deftly assem.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_310_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_310_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_310_The camera zooms in on nimble fingers deftly assem.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition (Complex Mechanical Model)\", \"reason_1\": \"Video 1 clearly depicts a complex, structured mechanical model with distinct parts (blue panels, gold gears) that resembles a high-end engineering project.\", \"reason_2\": \"Video 2 generates a chaotic cluster of gears that lacks structural logic or a recognizable form, failing to represent a 'model' being assembled.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Deft Assembly)\", \"reason_1\": \"The hands in Video 1 interact with the object in a way that suggests precision and alignment, matching the 'deftly assembling' instruction.\", \"reason_2\": \"The hands in Video 2 merely hold and slightly rotate a static, messy object; there is no sense of assembly or pieces clicking into place.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement (Zoom & Reveal)\", \"reason_1\": \"Video 1 utilizes a close-up framing that mimics the requested 'zoom in' focus on the details, though it misses the final 'pull back' to reveal the whole.\", \"reason_2\": \"Video 2 has a static, flat framing that lacks the cinematic zoom or the dramatic reveal requested in the prompt.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately depicts the core subject—a complex mechanical model—and the action of assembly. Video 2 fails to generate a coherent model, presenting instead a jumbled mass of gears.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Morphological Stability\", \"reason_1\": \"The mechanical parts in Video 1 maintain their shape, size, and rigidity throughout the clip, respecting the physics of solid objects.\", \"reason_2\": \"The gears and components in Video 2 constantly morph, melt, and change shape, exhibiting severe temporal incoherence.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Fidelity (Metal & Light)\", \"reason_1\": \"Video 1 renders realistic metallic reflections, paint textures, and lighting interactions, fulfilling the 'gleaming' descriptor.\", \"reason_2\": \"The textures in Video 2 are muddy and indistinct, lacking the material definition of metal or plastic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Hand-Object Interaction Physics\", \"reason_1\": \"The fingers in Video 1 grasp the object convincingly, with appropriate occlusion and contact points.\", \"reason_2\": \"The hands in Video 2 often clip through the gears or merge with them, lacking physical plausibility.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations where the object's geometry shifts and morphs unrealistically.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 uses a shallow depth of field (blurred background) to focus attention on the intricate work, creating a professional cinematic look.\", \"reason_2\": \"Video 2 is flatly lit against a plain white background with no depth or compositional intent.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmosphere of Expertise\", \"reason_1\": \"The steady camera and focused lighting in Video 1 successfully evoke the mood of 'meticulous craftsmanship' and 'intensity'.\", \"reason_2\": \"The chaotic nature of the object and the flat lighting in Video 2 fail to convey any sense of skill or expertise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Appeal & Color Harmony\", \"reason_1\": \"The color palette (blue, gold, silver) in Video 1 is harmonious and visually striking.\", \"reason_2\": \"Video 2 uses a random assortment of colors that clash and contribute to the visual confusion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 employs a cinematic style with depth of field that enhances the feeling of focus and expertise. Video 2 looks like a low-quality, flatly lit test render.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in almost every metric. It successfully renders a coherent, complex mechanical model with stable geometry and realistic textures, whereas Video 2 suffers from severe morphological instability, where the 'model' is merely a chaotic cluster of morphing gears. Video 1 also captures the cinematic lighting and depth of field implied by the prompt, creating a sense of focus and expertise that Video 2 lacks.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition (Complex Mechanical Model)", "reason_1": "Video 1 clearly depicts a complex, structured mechanical model with distinct parts (blue panels, gold gears) that resembles a high-end engineering project.", "reason_2": "Video 2 generates a chaotic cluster of gears that lacks structural logic or a recognizable form, failing to represent a 'model' being assembled.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Deft Assembly)", "reason_1": "The hands in Video 1 interact with the object in a way that suggests precision and alignment, matching the 'deftly assembling' instruction.", "reason_2": "The hands in Video 2 merely hold and slightly rotate a static, messy object; there is no sense of assembly or pieces clicking into place.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement (Zoom & Reveal)", "reason_1": "Video 1 utilizes a close-up framing that mimics the requested 'zoom in' focus on the details, though it misses the final 'pull back' to reveal the whole.", "reason_2": "Video 2 has a static, flat framing that lacks the cinematic zoom or the dramatic reveal requested in the prompt.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately depicts the core subject—a complex mechanical model—and the action of assembly. Video 2 fails to generate a coherent model, presenting instead a jumbled mass of gears.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Morphological Stability", "reason_1": "The mechanical parts in Video 1 maintain their shape, size, and rigidity throughout the clip, respecting the physics of solid objects.", "reason_2": "The gears and components in Video 2 constantly morph, melt, and change shape, exhibiting severe temporal incoherence.", "score_1": 9, "score_2": 1}, {"name": "Texture Fidelity (Metal & Light)", "reason_1": "Video 1 renders realistic metallic reflections, paint textures, and lighting interactions, fulfilling the 'gleaming' descriptor.", "reason_2": "The textures in Video 2 are muddy and indistinct, lacking the material definition of metal or plastic.", "score_1": 8, "score_2": 2}, {"name": "Hand-Object Interaction Physics", "reason_1": "The fingers in Video 1 grasp the object convincingly, with appropriate occlusion and contact points.", "reason_2": "The hands in Video 2 often clip through the gears or merge with them, lacking physical plausibility.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations where the object's geometry shifts and morphs unrealistically.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 uses a shallow depth of field (blurred background) to focus attention on the intricate work, creating a professional cinematic look.", "reason_2": "Video 2 is flatly lit against a plain white background with no depth or compositional intent.", "score_1": 9, "score_2": 1}, {"name": "Atmosphere of Expertise", "reason_1": "The steady camera and focused lighting in Video 1 successfully evoke the mood of 'meticulous craftsmanship' and 'intensity'.", "reason_2": "The chaotic nature of the object and the flat lighting in Video 2 fail to convey any sense of skill or expertise.", "score_1": 8, "score_2": 2}, {"name": "Visual Appeal & Color Harmony", "reason_1": "The color palette (blue, gold, silver) in Video 1 is harmonious and visually striking.", "reason_2": "Video 2 uses a random assortment of colors that clash and contribute to the visual confusion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 employs a cinematic style with depth of field that enhances the feeling of focus and expertise. Video 2 looks like a low-quality, flatly lit test render.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in almost every metric. It successfully renders a coherent, complex mechanical model with stable geometry and realistic textures, whereas Video 2 suffers from severe morphological instability, where the 'model' is merely a chaotic cluster of morphing gears. Video 1 also captures the cinematic lighting and depth of field implied by the prompt, creating a sense of focus and expertise that Video 2 lacks.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 59.28} +{"pair_id": "031_seed_930", "sample_index": 31, "seed": 930, "prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Deft Assembly)\", \"reason_1\": \"The hands in Video 1 appear to be molding or melting the object rather than assembling distinct parts; the action lacks mechanical logic.\", \"reason_2\": \"Video 2 depicts precise, logical finger movements that mimic the actual assembly of a mechanical kit, aligning perfectly with 'deftly assembling'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Object Definition (Complex Mechanical Model)\", \"reason_1\": \"The object is a vague, shifting mass of metallic textures without clear gears or components.\", \"reason_2\": \"The object is clearly defined as a complex mechanical model (resembling a Gundam kit) with distinct parts, armor, and internal mechanisms.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Movement (Zoom & Reveal)\", \"reason_1\": \"Video 1 attempts a slight zoom but fails to execute the 'pull back to reveal' ending effectively.\", \"reason_2\": \"Video 2 maintains a stable, clear shot that allows the viewer to see the model's form, though it also misses the dramatic 'pull back' ending, it is far more stable.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the specific action of 'assembling' with distinct parts, whereas Video 1 depicts a vague interaction with a morphing object.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The mechanical model constantly changes shape, size, and texture, exhibiting severe temporal incoherence.\", \"reason_2\": \"The model maintains rigid, consistent geometry throughout the clip, behaving like a solid physical object.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Anatomical Consistency (Hands)\", \"reason_1\": \"The fingers occasionally blend into the object or lose structural integrity during movement.\", \"reason_2\": \"The hands remain anatomically correct with distinct fingers and realistic skin texture throughout the motion.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Textures are muddy and blurred, lacking the 'gleaming' quality requested.\", \"reason_2\": \"Textures are sharp and realistic, clearly distinguishing between the plastic/metal of the model and the skin of the hands.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates near-perfect stability and realism, while Video 1 is plagued by severe AI hallucinations and morphing artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Portrayal of Expertise & Focus\", \"reason_1\": \"The chaotic morphing of the object undermines any sense of 'precision' or 'expertise'.\", \"reason_2\": \"The steady, controlled movements of the hands effectively convey the 'expertise and focus' described in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"Lighting is somewhat flat and the background is cluttered.\", \"reason_2\": \"Lighting is clean and bright, highlighting the details of the model effectively.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually confusing due to the lack of object permanence.\", \"reason_2\": \"The video is aesthetically pleasing, resembling a high-quality product showcase or hobbyist tutorial.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully conveys the mood of 'meticulous craftsmanship' through clean visuals and steady motion, whereas Video 1 feels chaotic and unfinished.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Mechanical Interaction & Physics\", \"dims\": [{\"name\": \"Component Distinctness\", \"reason_1\": \"There are no distinct components; the 'model' is a single morphing blob.\", \"reason_2\": \"Individual parts (armor plates, frame) are clearly visible and distinct from one another.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Interaction Logic (Fingers vs Object)\", \"reason_1\": \"The interaction is illogical; fingers clip through the object or merge with it.\", \"reason_2\": \"The interaction is physically plausible; fingers grasp and manipulate the object without clipping.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Representation of 'Precision'\", \"reason_1\": \"The movement is jittery and lacks the 'precision' required by the prompt.\", \"reason_2\": \"The fine motor movements shown accurately represent the 'precision' of assembling small mechanical parts.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category assesses the specific requirement of 'mechanical' interaction. Video 2 respects physical boundaries, while Video 1 ignores them.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in terms of temporal stability, object permanence, and anatomical consistency. It depicts a coherent, rigid mechanical model being assembled with logical hand movements, whereas Video 1 suffers from severe morphological hallucinations where the object and hands constantly morph and blend together.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Deft Assembly)", "reason_1": "The hands in Video 1 appear to be molding or melting the object rather than assembling distinct parts; the action lacks mechanical logic.", "reason_2": "Video 2 depicts precise, logical finger movements that mimic the actual assembly of a mechanical kit, aligning perfectly with 'deftly assembling'.", "score_1": 2, "score_2": 8}, {"name": "Object Definition (Complex Mechanical Model)", "reason_1": "The object is a vague, shifting mass of metallic textures without clear gears or components.", "reason_2": "The object is clearly defined as a complex mechanical model (resembling a Gundam kit) with distinct parts, armor, and internal mechanisms.", "score_1": 3, "score_2": 7}, {"name": "Camera Movement (Zoom & Reveal)", "reason_1": "Video 1 attempts a slight zoom but fails to execute the 'pull back to reveal' ending effectively.", "reason_2": "Video 2 maintains a stable, clear shot that allows the viewer to see the model's form, though it also misses the dramatic 'pull back' ending, it is far more stable.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the specific action of 'assembling' with distinct parts, whereas Video 1 depicts a vague interaction with a morphing object.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The mechanical model constantly changes shape, size, and texture, exhibiting severe temporal incoherence.", "reason_2": "The model maintains rigid, consistent geometry throughout the clip, behaving like a solid physical object.", "score_1": 1, "score_2": 9}, {"name": "Anatomical Consistency (Hands)", "reason_1": "The fingers occasionally blend into the object or lose structural integrity during movement.", "reason_2": "The hands remain anatomically correct with distinct fingers and realistic skin texture throughout the motion.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Texture", "reason_1": "Textures are muddy and blurred, lacking the 'gleaming' quality requested.", "reason_2": "Textures are sharp and realistic, clearly distinguishing between the plastic/metal of the model and the skin of the hands.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates near-perfect stability and realism, while Video 1 is plagued by severe AI hallucinations and morphing artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Portrayal of Expertise & Focus", "reason_1": "The chaotic morphing of the object undermines any sense of 'precision' or 'expertise'.", "reason_2": "The steady, controlled movements of the hands effectively convey the 'expertise and focus' described in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Atmosphere", "reason_1": "Lighting is somewhat flat and the background is cluttered.", "reason_2": "Lighting is clean and bright, highlighting the details of the model effectively.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually confusing due to the lack of object permanence.", "reason_2": "The video is aesthetically pleasing, resembling a high-quality product showcase or hobbyist tutorial.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully conveys the mood of 'meticulous craftsmanship' through clean visuals and steady motion, whereas Video 1 feels chaotic and unfinished.", "cat_winner": "Video 2"}, {"name": "D. Mechanical Interaction & Physics", "dims": [{"name": "Component Distinctness", "reason_1": "There are no distinct components; the 'model' is a single morphing blob.", "reason_2": "Individual parts (armor plates, frame) are clearly visible and distinct from one another.", "score_1": 1, "score_2": 9}, {"name": "Interaction Logic (Fingers vs Object)", "reason_1": "The interaction is illogical; fingers clip through the object or merge with it.", "reason_2": "The interaction is physically plausible; fingers grasp and manipulate the object without clipping.", "score_1": 2, "score_2": 8}, {"name": "Representation of 'Precision'", "reason_1": "The movement is jittery and lacks the 'precision' required by the prompt.", "reason_2": "The fine motor movements shown accurately represent the 'precision' of assembling small mechanical parts.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category assesses the specific requirement of 'mechanical' interaction. Video 2 respects physical boundaries, while Video 1 ignores them.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in terms of temporal stability, object permanence, and anatomical consistency. It depicts a coherent, rigid mechanical model being assembled with logical hand movements, whereas Video 1 suffers from severe morphological hallucinations where the object and hands constantly morph and blend together.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 91.0, "elapsed_sec": 66.424} +{"pair_id": "032_seed_42", "sample_index": 32, "seed": 42, "prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_42_A charming Korean male star dressed in a casual wh.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_42_A charming Korean male star dressed in a casual wh.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_42_A charming Korean male star dressed in a casual wh.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_42_A charming Korean male star dressed in a casual wh.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Crafting & Presenting)\", \"reason_1\": \"Video 1 clearly shows the subject rolling the sushi and then extending his hand to present it to the camera, perfectly matching the prompt's narrative arc.\", \"reason_2\": \"Video 2 shows the subject arranging items on a tray, but the specific action of 'crafting' is vague, and the 'presenting' gesture is weak and lacks the intended engagement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Sun-dappled Forest)\", \"reason_1\": \"Video 1 captures the 'sun-dappled' lighting with high contrast and distinct shadows, creating the specific atmosphere requested.\", \"reason_2\": \"Video 2 has a flatter, more diffuse lighting setup that lacks the 'playful shadows' and vibrant contrast described in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Attributes (Attire & Appearance)\", \"reason_1\": \"Video 1 accurately depicts the Korean male star in a white t-shirt and jeans.\", \"reason_2\": \"Video 2 also accurately depicts the subject's appearance and attire as requested.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 follows the prompt's narrative arc more closely, specifically the action of 'presenting' the sushi and the 'sun-dappled' lighting requirement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-definition textures on the wood, food, and clothing.\", \"reason_2\": \"The video appears soft and slightly blurry, lacking the definition seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Stability (Sushi & Props)\", \"reason_1\": \"The sushi roll and table remain solid and consistent in shape throughout the motion.\", \"reason_2\": \"The food items on the tray exhibit slight morphing and lack structural consistency during the subject's movements.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The hand movements are fluid and the interaction with the sushi roll feels physically grounded.\", \"reason_2\": \"The motion is generally smooth but feels slightly more floaty, with less convincing interaction between the hands and the objects.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates significantly higher resolution, sharper textures, and better object stability compared to the softer, slightly morphing visuals of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Color Grading\", \"reason_1\": \"The lighting is dynamic and cinematic, enhancing the 'charming' and 'delightful' mood specified in the prompt.\", \"reason_2\": \"The lighting is flat and the color grading is somewhat washed out, resulting in a less engaging aesthetic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing focuses well on the subject and the action, balancing the forest background with the foreground activity.\", \"reason_2\": \"The framing is wider and feels a bit looser, making the subject feel less central to the 'culinary moment'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Engagement (The Smile)\", \"reason_1\": \"The transition from focus to a warm, engaging smile directed at the camera effectively sells the narrative of 'presenting' the food.\", \"reason_2\": \"The subject smiles, but the connection with the viewer is weaker and feels less like a deliberate narrative beat.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 utilizes superior lighting and composition to create a more professional and aesthetically pleasing result that aligns with the 'charming' and 'delightful' tone of the prompt.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, sharper texture details, and more accurate execution of the specific actions described in the prompt. It captures the 'sun-dappled' lighting and the 'presenting' gesture with much greater clarity and engagement than Video 2, which suffers from softer focus and less distinct object interactions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Crafting & Presenting)", "reason_1": "Video 1 clearly shows the subject rolling the sushi and then extending his hand to present it to the camera, perfectly matching the prompt's narrative arc.", "reason_2": "Video 2 shows the subject arranging items on a tray, but the specific action of 'crafting' is vague, and the 'presenting' gesture is weak and lacks the intended engagement.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Sun-dappled Forest)", "reason_1": "Video 1 captures the 'sun-dappled' lighting with high contrast and distinct shadows, creating the specific atmosphere requested.", "reason_2": "Video 2 has a flatter, more diffuse lighting setup that lacks the 'playful shadows' and vibrant contrast described in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Subject Attributes (Attire & Appearance)", "reason_1": "Video 1 accurately depicts the Korean male star in a white t-shirt and jeans.", "reason_2": "Video 2 also accurately depicts the subject's appearance and attire as requested.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 follows the prompt's narrative arc more closely, specifically the action of 'presenting' the sushi and the 'sun-dappled' lighting requirement.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-definition textures on the wood, food, and clothing.", "reason_2": "The video appears soft and slightly blurry, lacking the definition seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Object Stability (Sushi & Props)", "reason_1": "The sushi roll and table remain solid and consistent in shape throughout the motion.", "reason_2": "The food items on the tray exhibit slight morphing and lack structural consistency during the subject's movements.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Physics", "reason_1": "The hand movements are fluid and the interaction with the sushi roll feels physically grounded.", "reason_2": "The motion is generally smooth but feels slightly more floaty, with less convincing interaction between the hands and the objects.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates significantly higher resolution, sharper textures, and better object stability compared to the softer, slightly morphing visuals of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Color Grading", "reason_1": "The lighting is dynamic and cinematic, enhancing the 'charming' and 'delightful' mood specified in the prompt.", "reason_2": "The lighting is flat and the color grading is somewhat washed out, resulting in a less engaging aesthetic.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing focuses well on the subject and the action, balancing the forest background with the foreground activity.", "reason_2": "The framing is wider and feels a bit looser, making the subject feel less central to the 'culinary moment'.", "score_1": 7, "score_2": 3}, {"name": "Narrative Engagement (The Smile)", "reason_1": "The transition from focus to a warm, engaging smile directed at the camera effectively sells the narrative of 'presenting' the food.", "reason_2": "The subject smiles, but the connection with the viewer is weaker and feels less like a deliberate narrative beat.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 utilizes superior lighting and composition to create a more professional and aesthetically pleasing result that aligns with the 'charming' and 'delightful' tone of the prompt.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, sharper texture details, and more accurate execution of the specific actions described in the prompt. It captures the 'sun-dappled' lighting and the 'presenting' gesture with much greater clarity and engagement than Video 2, which suffers from softer focus and less distinct object interactions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 58.366} +{"pair_id": "032_seed_310", "sample_index": 32, "seed": 310, "prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_310_A charming Korean male star dressed in a casual wh.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_310_A charming Korean male star dressed in a casual wh.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_310_A charming Korean male star dressed in a casual wh.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_310_A charming Korean male star dressed in a casual wh.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Crafting with Precision)\", \"reason_1\": \"Video 1 depicts the subject rolling the sushi with logical hand movements and clear object interaction.\", \"reason_2\": \"Video 2 fails completely; the hands merge with the food, and the 'crafting' action is a glitchy morphing sequence rather than a skillful movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Korean Star & Attire)\", \"reason_1\": \"Video 1 accurately depicts a Korean male in a white t-shirt, fitting the description well.\", \"reason_2\": \"Video 2 also accurately depicts the subject's ethnicity and attire, matching the prompt's character description.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Forest & Stream)\", \"reason_1\": \"Video 1 places the subject in a convincing forest setting with a visible stream and appropriate lighting.\", \"reason_2\": \"Video 2 also generates a high-quality forest background with the required stream and greenery.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Narrative Conclusion (Presentation & Smile)\", \"reason_1\": \"Video 1 ends with the subject holding the roll up and smiling, fulfilling the 'presents the sushi' requirement.\", \"reason_2\": \"Video 2 attempts the smile, but the presentation is marred by the object (sushi) losing its shape and the hand distorting.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific action of 'crafting' sushi with logical hand movements, whereas Video 2 fails to render the action semantically, turning it into a visual glitch.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Hands & Objects)\", \"reason_1\": \"The subject's hands and the sushi roll maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the fingers melt into the rice, and the sushi roll expands and contracts unnaturally.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Object Interaction)\", \"reason_1\": \"The interaction between the hands and the sushi follows basic physics; the roll moves as a solid object.\", \"reason_2\": \"The physics are broken; the food behaves like a liquid or a morphing texture rather than a solid culinary item.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is sharp, with clear textures on the skin, clothing, and food.\", \"reason_2\": \"While the background is sharp, the focal point (the hands/food) is blurry and distorted due to generation artifacts.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains solid object permanence and anatomical structure. Video 2 collapses under severe morphological instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is pleasant to watch, with good lighting and a coherent scene.\", \"reason_2\": \"The visual appeal is destroyed by the uncanny valley effect of the melting hands and food.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmosphere & Lighting (Sun-dappled)\", \"reason_1\": \"Successfully captures the 'sun-dappled' lighting requested in the prompt.\", \"reason_2\": \"Also captures the lighting well, with nice contrast between the subject and the forest background.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Narrative Flow (Preparation to Presentation)\", \"reason_1\": \"The sequence flows logically from rolling the sushi to showing it to the camera.\", \"reason_2\": \"The narrative is interrupted by the visual glitches, breaking the immersion of the 'culinary moment'.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 provides a coherent and pleasant viewing experience. Video 2's aesthetic value is negated by the disturbing visual artifacts in the center of the frame.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior morphological stability and physical realism. While both videos capture the setting and subject well, Video 2 suffers from severe hallucinations where the subject's hands and the sushi roll morph and melt into each other, completely breaking the realism of the 'crafting' action. Video 1 maintains distinct object boundaries and anatomical consistency throughout the sequence.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Crafting with Precision)", "reason_1": "Video 1 depicts the subject rolling the sushi with logical hand movements and clear object interaction.", "reason_2": "Video 2 fails completely; the hands merge with the food, and the 'crafting' action is a glitchy morphing sequence rather than a skillful movement.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Korean Star & Attire)", "reason_1": "Video 1 accurately depicts a Korean male in a white t-shirt, fitting the description well.", "reason_2": "Video 2 also accurately depicts the subject's ethnicity and attire, matching the prompt's character description.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Forest & Stream)", "reason_1": "Video 1 places the subject in a convincing forest setting with a visible stream and appropriate lighting.", "reason_2": "Video 2 also generates a high-quality forest background with the required stream and greenery.", "score_1": 5, "score_2": 5}, {"name": "Narrative Conclusion (Presentation & Smile)", "reason_1": "Video 1 ends with the subject holding the roll up and smiling, fulfilling the 'presents the sushi' requirement.", "reason_2": "Video 2 attempts the smile, but the presentation is marred by the object (sushi) losing its shape and the hand distorting.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific action of 'crafting' sushi with logical hand movements, whereas Video 2 fails to render the action semantically, turning it into a visual glitch.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Hands & Objects)", "reason_1": "The subject's hands and the sushi roll maintain their shape and volume consistently throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the fingers melt into the rice, and the sushi roll expands and contracts unnaturally.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Object Interaction)", "reason_1": "The interaction between the hands and the sushi follows basic physics; the roll moves as a solid object.", "reason_2": "The physics are broken; the food behaves like a liquid or a morphing texture rather than a solid culinary item.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is sharp, with clear textures on the skin, clothing, and food.", "reason_2": "While the background is sharp, the focal point (the hands/food) is blurry and distorted due to generation artifacts.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains solid object permanence and anatomical structure. Video 2 collapses under severe morphological instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is pleasant to watch, with good lighting and a coherent scene.", "reason_2": "The visual appeal is destroyed by the uncanny valley effect of the melting hands and food.", "score_1": 8, "score_2": 2}, {"name": "Atmosphere & Lighting (Sun-dappled)", "reason_1": "Successfully captures the 'sun-dappled' lighting requested in the prompt.", "reason_2": "Also captures the lighting well, with nice contrast between the subject and the forest background.", "score_1": 5, "score_2": 5}, {"name": "Narrative Flow (Preparation to Presentation)", "reason_1": "The sequence flows logically from rolling the sushi to showing it to the camera.", "reason_2": "The narrative is interrupted by the visual glitches, breaking the immersion of the 'culinary moment'.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 provides a coherent and pleasant viewing experience. Video 2's aesthetic value is negated by the disturbing visual artifacts in the center of the frame.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior morphological stability and physical realism. While both videos capture the setting and subject well, Video 2 suffers from severe hallucinations where the subject's hands and the sushi roll morph and melt into each other, completely breaking the realism of the 'crafting' action. Video 1 maintains distinct object boundaries and anatomical consistency throughout the sequence.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 30.0, "elapsed_sec": 61.459} +{"pair_id": "032_seed_930", "sample_index": 32, "seed": 930, "prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Crafting with Precision)\", \"reason_1\": \"Video 1 depicts the subject handling the sushi with distinct, logical hand movements that resemble actual preparation.\", \"reason_2\": \"Video 2 shows the subject pressing on a morphing object; the action lacks the 'precision and grace' requested and feels like a glitchy interaction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Definition (Sushi Representation)\", \"reason_1\": \"The sushi in Video 1 has recognizable textures (rice, seaweed, filling) and maintains its identity as food.\", \"reason_2\": \"The object in Video 2 is a hallucinated, grey, web-like mass that does not resemble sushi or any edible food item.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Forest & Stream)\", \"reason_1\": \"Video 1 integrates the subject well into the sun-dappled forest setting with a visible stream.\", \"reason_2\": \"Video 2 also features a high-quality forest background with a stream, matching the prompt's setting requirements equally well.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Attributes (Attire & Appearance)\", \"reason_1\": \"The subject correctly wears a white t-shirt and jeans, fitting the 'casual' description.\", \"reason_2\": \"The subject also matches the attire description perfectly, with a clean white t-shirt and jeans.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 accurately depicts the core action of 'crafting sushi' with a recognizable object. Video 2 fails the semantic requirement of the object itself, rendering a distorted mass instead of sushi.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The sushi roll remains solid and consistent in shape throughout the clip.\", \"reason_2\": \"The sushi object constantly changes shape, texture, and size, exhibiting severe temporal instability.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Interaction)\", \"reason_1\": \"The hands interact with the object in a way that respects solidity and friction.\", \"reason_2\": \"The hands appear to clip through or merge with the object, lacking physical grounding.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is sharp, with clear details on the face and clothing.\", \"reason_2\": \"The video is equally sharp and high-resolution, despite the content errors.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 maintains high stability and realism. Video 2 is plagued by severe morphological instability where the main object (sushi) and hands warp and merge unnaturally.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Prep to Presentation)\", \"reason_1\": \"The clip follows a logical flow: focusing on the work, then lifting the finished product to show it.\", \"reason_2\": \"The narrative is disrupted by the visual confusion of the object; the 'presentation' feels like showing a glitch rather than a culinary moment.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Emotional Impact (Charming & Warm)\", \"reason_1\": \"The subject's smile at the end feels genuine and enhances the 'delightful' mood requested.\", \"reason_2\": \"While the subject smiles, the uncanny nature of the morphing object creates a disturbing rather than charming atmosphere.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing focuses well on the hands and the table, balancing the subject and the environment.\", \"reason_2\": \"The framing is decent, but the camera movement feels slightly less intentional compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully conveys the 'delightful culinary moment' through a coherent sequence of events. Video 2's visual glitches break the immersion and aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior object permanence and physical realism. It successfully renders a recognizable sushi roll that maintains its shape and texture during the preparation process. In contrast, Video 2 suffers from severe hallucinations; the 'sushi' appears as a morphing, grey, web-like blob that defies physics and lacks the visual characteristics of food. While both videos capture the environment and subject well, Video 1's ability to depict the specific action of 'crafting' with precision makes it the much stronger generation.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Crafting with Precision)", "reason_1": "Video 1 depicts the subject handling the sushi with distinct, logical hand movements that resemble actual preparation.", "reason_2": "Video 2 shows the subject pressing on a morphing object; the action lacks the 'precision and grace' requested and feels like a glitchy interaction.", "score_1": 8, "score_2": 2}, {"name": "Object Definition (Sushi Representation)", "reason_1": "The sushi in Video 1 has recognizable textures (rice, seaweed, filling) and maintains its identity as food.", "reason_2": "The object in Video 2 is a hallucinated, grey, web-like mass that does not resemble sushi or any edible food item.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Forest & Stream)", "reason_1": "Video 1 integrates the subject well into the sun-dappled forest setting with a visible stream.", "reason_2": "Video 2 also features a high-quality forest background with a stream, matching the prompt's setting requirements equally well.", "score_1": 5, "score_2": 5}, {"name": "Subject Attributes (Attire & Appearance)", "reason_1": "The subject correctly wears a white t-shirt and jeans, fitting the 'casual' description.", "reason_2": "The subject also matches the attire description perfectly, with a clean white t-shirt and jeans.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 accurately depicts the core action of 'crafting sushi' with a recognizable object. Video 2 fails the semantic requirement of the object itself, rendering a distorted mass instead of sushi.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The sushi roll remains solid and consistent in shape throughout the clip.", "reason_2": "The sushi object constantly changes shape, texture, and size, exhibiting severe temporal instability.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Interaction)", "reason_1": "The hands interact with the object in a way that respects solidity and friction.", "reason_2": "The hands appear to clip through or merge with the object, lacking physical grounding.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is sharp, with clear details on the face and clothing.", "reason_2": "The video is equally sharp and high-resolution, despite the content errors.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 maintains high stability and realism. Video 2 is plagued by severe morphological instability where the main object (sushi) and hands warp and merge unnaturally.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Prep to Presentation)", "reason_1": "The clip follows a logical flow: focusing on the work, then lifting the finished product to show it.", "reason_2": "The narrative is disrupted by the visual confusion of the object; the 'presentation' feels like showing a glitch rather than a culinary moment.", "score_1": 8, "score_2": 2}, {"name": "Emotional Impact (Charming & Warm)", "reason_1": "The subject's smile at the end feels genuine and enhances the 'delightful' mood requested.", "reason_2": "While the subject smiles, the uncanny nature of the morphing object creates a disturbing rather than charming atmosphere.", "score_1": 7, "score_2": 3}, {"name": "Composition & Framing", "reason_1": "The framing focuses well on the hands and the table, balancing the subject and the environment.", "reason_2": "The framing is decent, but the camera movement feels slightly less intentional compared to Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully conveys the 'delightful culinary moment' through a coherent sequence of events. Video 2's visual glitches break the immersion and aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior object permanence and physical realism. It successfully renders a recognizable sushi roll that maintains its shape and texture during the preparation process. In contrast, Video 2 suffers from severe hallucinations; the 'sushi' appears as a morphing, grey, web-like blob that defies physics and lacks the visual characteristics of food. While both videos capture the environment and subject well, Video 1's ability to depict the specific action of 'crafting' with precision makes it the much stronger generation.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 30.0, "elapsed_sec": 59.837} +{"pair_id": "033_seed_42", "sample_index": 33, "seed": 42, "prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_42_A charming Japanese actress wearing a pastel pink.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_42_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_42_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_42_A charming Japanese actress wearing a pastel pink.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Chopping & Stirring)\", \"reason_1\": \"Video 1 depicts the chopping action clearly, though it misses the 'stirring' action (the subject only looks at the pot).\", \"reason_2\": \"Video 2 also depicts chopping but fails to show the subject stirring the pot. The chopping motion is slightly less distinct than in Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Context (Tradition & Modernity)\", \"reason_1\": \"Video 1 depicts a modern kitchen setting, missing the 'tradition' aspect of the prompt's requested atmosphere.\", \"reason_2\": \"Video 2 successfully integrates a traditional Japanese room (tatami, shoji screens) with modern cooking elements, perfectly matching the 'harmonious blend' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attributes (Attire & Expression)\", \"reason_1\": \"Video 1 accurately renders the pastel pink apron, white blouse, and joyful expression.\", \"reason_2\": \"Video 2 also accurately renders the requested clothing and the subject's charming demeanor.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 better captures the environmental context of 'tradition and modernity' and the 'cozy' atmosphere, whereas Video 1 feels more like a generic modern kitchen.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Interaction Physics (Knife & Hands)\", \"reason_1\": \"The interaction between the knife, hands, and vegetables is physically grounded and realistic.\", \"reason_2\": \"The knife in Video 2 frequently clips through the vegetables and the cutting board, breaking physical plausibility.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Hands & Fingers)\", \"reason_1\": \"The subject's hands maintain their structure throughout the chopping motion.\", \"reason_2\": \"The fingers in Video 2 tend to blur and morph slightly during the rapid movement of chopping.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The video is sharp, with clear definition of the ingredients and utensils.\", \"reason_2\": \"The video has a softer focus, which aids the atmosphere but results in less definition of the cooking details.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 is technically superior with stable object interactions. Video 2 suffers from noticeable clipping and morphing issues with the knife and hands.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Mood\", \"reason_1\": \"The lighting is bright and functional, resembling a cooking tutorial rather than a 'cozy, warmly-lit' cinematic scene.\", \"reason_2\": \"The lighting is soft, warm, and ambient, perfectly evoking the 'inviting atmosphere' and 'serene setting' described.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The composition is flat and frontal, lacking depth.\", \"reason_2\": \"The shot utilizes depth of field and a wider angle to show the room's context, creating a more cinematic look.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Stylistic Interpretation (Cherry Blossoms)\", \"reason_1\": \"The decorations are present but look like standard wall stickers.\", \"reason_2\": \"The cherry blossoms are integrated more artistically, hanging from above, which enhances the 'delicate' aesthetic.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 excels in creating the requested mood, utilizing lighting and composition to evoke the 'inviting' and 'serene' atmosphere described in the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the overall winner because it successfully captures the specific atmospheric and environmental requirements of the prompt—specifically the 'harmonious blend of tradition and modernity' and the 'cozy, warmly-lit' mood. While Video 1 is technically more stable with fewer physics artifacts, it presents a generic modern kitchen that lacks the requested traditional context. Video 2's superior aesthetic composition and lighting create the inviting narrative requested, outweighing its minor technical imperfections.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Chopping & Stirring)", "reason_1": "Video 1 depicts the chopping action clearly, though it misses the 'stirring' action (the subject only looks at the pot).", "reason_2": "Video 2 also depicts chopping but fails to show the subject stirring the pot. The chopping motion is slightly less distinct than in Video 1.", "score_1": 6, "score_2": 4}, {"name": "Environmental Context (Tradition & Modernity)", "reason_1": "Video 1 depicts a modern kitchen setting, missing the 'tradition' aspect of the prompt's requested atmosphere.", "reason_2": "Video 2 successfully integrates a traditional Japanese room (tatami, shoji screens) with modern cooking elements, perfectly matching the 'harmonious blend' description.", "score_1": 3, "score_2": 7}, {"name": "Subject Attributes (Attire & Expression)", "reason_1": "Video 1 accurately renders the pastel pink apron, white blouse, and joyful expression.", "reason_2": "Video 2 also accurately renders the requested clothing and the subject's charming demeanor.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 better captures the environmental context of 'tradition and modernity' and the 'cozy' atmosphere, whereas Video 1 feels more like a generic modern kitchen.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Interaction Physics (Knife & Hands)", "reason_1": "The interaction between the knife, hands, and vegetables is physically grounded and realistic.", "reason_2": "The knife in Video 2 frequently clips through the vegetables and the cutting board, breaking physical plausibility.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Hands & Fingers)", "reason_1": "The subject's hands maintain their structure throughout the chopping motion.", "reason_2": "The fingers in Video 2 tend to blur and morph slightly during the rapid movement of chopping.", "score_1": 7, "score_2": 3}, {"name": "Visual Clarity & Sharpness", "reason_1": "The video is sharp, with clear definition of the ingredients and utensils.", "reason_2": "The video has a softer focus, which aids the atmosphere but results in less definition of the cooking details.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 is technically superior with stable object interactions. Video 2 suffers from noticeable clipping and morphing issues with the knife and hands.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Mood", "reason_1": "The lighting is bright and functional, resembling a cooking tutorial rather than a 'cozy, warmly-lit' cinematic scene.", "reason_2": "The lighting is soft, warm, and ambient, perfectly evoking the 'inviting atmosphere' and 'serene setting' described.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition & Depth", "reason_1": "The composition is flat and frontal, lacking depth.", "reason_2": "The shot utilizes depth of field and a wider angle to show the room's context, creating a more cinematic look.", "score_1": 3, "score_2": 7}, {"name": "Stylistic Interpretation (Cherry Blossoms)", "reason_1": "The decorations are present but look like standard wall stickers.", "reason_2": "The cherry blossoms are integrated more artistically, hanging from above, which enhances the 'delicate' aesthetic.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 excels in creating the requested mood, utilizing lighting and composition to evoke the 'inviting' and 'serene' atmosphere described in the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the overall winner because it successfully captures the specific atmospheric and environmental requirements of the prompt—specifically the 'harmonious blend of tradition and modernity' and the 'cozy, warmly-lit' mood. While Video 1 is technically more stable with fewer physics artifacts, it presents a generic modern kitchen that lacks the requested traditional context. Video 2's superior aesthetic composition and lighting create the inviting narrative requested, outweighing its minor technical imperfections.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 45.0, "total_score_2": 45.0, "elapsed_sec": 58.072} +{"pair_id": "033_seed_310", "sample_index": 33, "seed": 310, "prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_310_A charming Japanese actress wearing a pastel pink.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_310_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_310_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_310_A charming Japanese actress wearing a pastel pink.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Completeness (Chop & Stir)\", \"reason_1\": \"Video 1 depicts the chopping action well but fails to show the subject stirring the pot; the subject remains static at the cutting board.\", \"reason_2\": \"Video 2 successfully transitions the subject from chopping vegetables to adding them to the pot, fulfilling the multi-action requirement of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject & Attire Fidelity\", \"reason_1\": \"Video 1 perfectly renders the Japanese actress, the pastel pink apron, and the white blouse with high detail.\", \"reason_2\": \"Video 2 also accurately renders the specific clothing and subject description requested.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Detail (Decor & Lighting)\", \"reason_1\": \"Video 1 features distinct cherry blossom decorations and a very cozy, warm lighting setup that matches the 'inviting atmosphere' description perfectly.\", \"reason_2\": \"Video 2 includes the decorations, but the lighting is flatter and less 'warmly-lit' compared to the rich atmosphere of Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 is the only model that attempts to depict the full sequence of actions described in the prompt, specifically the transition from chopping to interacting with the pot.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-definition textures on the food, skin, and fabric.\", \"reason_2\": \"The image is noticeably softer and lacks the fine detail and sharpness present in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain perfectly consistent throughout the clip.\", \"reason_2\": \"The subject's face undergoes slight morphing and loss of detail as she moves and turns her head.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The chopping motion is fluid and the camera is stable, creating a professional look.\", \"reason_2\": \"The motion feels slightly jerky, and the transition between actions lacks the smoothness of Video 1.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates significantly higher resolution, sharper textures, and better temporal stability compared to the softer and slightly less stable Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Mood\", \"reason_1\": \"The lighting is soft, warm, and cinematic, perfectly evoking the 'cozy' and 'serene' mood requested.\", \"reason_2\": \"The lighting is functional but lacks the artistic warmth and depth seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced and aesthetically pleasing, focusing well on the subject and the ingredients.\", \"reason_2\": \"The framing is a bit wider and looser, feeling less intentional and cinematic.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Progression\", \"reason_1\": \"The video is essentially a loop of a single action (chopping) with no narrative progression.\", \"reason_2\": \"The video shows a clear progression of the cooking process, moving from prep to cooking, which adds narrative value.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 1 excels in creating the specific 'charming' and 'serene' mood requested, with superior composition and lighting that elevates the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the overall winner due to its superior visual fidelity, professional lighting, and high aesthetic quality. While Video 2 attempts the full narrative sequence (chopping then stirring), it suffers from lower resolution and less consistent subject identity. Video 1 captures the 'charming' and 'cozy' atmosphere with much greater success, presenting a polished, cinematic look that outweighs the omission of the stirring action.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Completeness (Chop & Stir)", "reason_1": "Video 1 depicts the chopping action well but fails to show the subject stirring the pot; the subject remains static at the cutting board.", "reason_2": "Video 2 successfully transitions the subject from chopping vegetables to adding them to the pot, fulfilling the multi-action requirement of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Subject & Attire Fidelity", "reason_1": "Video 1 perfectly renders the Japanese actress, the pastel pink apron, and the white blouse with high detail.", "reason_2": "Video 2 also accurately renders the specific clothing and subject description requested.", "score_1": 5, "score_2": 5}, {"name": "Environmental Detail (Decor & Lighting)", "reason_1": "Video 1 features distinct cherry blossom decorations and a very cozy, warm lighting setup that matches the 'inviting atmosphere' description perfectly.", "reason_2": "Video 2 includes the decorations, but the lighting is flatter and less 'warmly-lit' compared to the rich atmosphere of Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 is the only model that attempts to depict the full sequence of actions described in the prompt, specifically the transition from chopping to interacting with the pot.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-definition textures on the food, skin, and fabric.", "reason_2": "The image is noticeably softer and lacks the fine detail and sharpness present in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain perfectly consistent throughout the clip.", "reason_2": "The subject's face undergoes slight morphing and loss of detail as she moves and turns her head.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Stability", "reason_1": "The chopping motion is fluid and the camera is stable, creating a professional look.", "reason_2": "The motion feels slightly jerky, and the transition between actions lacks the smoothness of Video 1.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates significantly higher resolution, sharper textures, and better temporal stability compared to the softer and slightly less stable Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Mood", "reason_1": "The lighting is soft, warm, and cinematic, perfectly evoking the 'cozy' and 'serene' mood requested.", "reason_2": "The lighting is functional but lacks the artistic warmth and depth seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing is balanced and aesthetically pleasing, focusing well on the subject and the ingredients.", "reason_2": "The framing is a bit wider and looser, feeling less intentional and cinematic.", "score_1": 7, "score_2": 3}, {"name": "Narrative Progression", "reason_1": "The video is essentially a loop of a single action (chopping) with no narrative progression.", "reason_2": "The video shows a clear progression of the cooking process, moving from prep to cooking, which adds narrative value.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 1 excels in creating the specific 'charming' and 'serene' mood requested, with superior composition and lighting that elevates the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the overall winner due to its superior visual fidelity, professional lighting, and high aesthetic quality. While Video 2 attempts the full narrative sequence (chopping then stirring), it suffers from lower resolution and less consistent subject identity. Video 1 captures the 'charming' and 'cozy' atmosphere with much greater success, presenting a polished, cinematic look that outweighs the omission of the stirring action.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 53.0, "total_score_2": 37.0, "elapsed_sec": 54.493} +{"pair_id": "033_seed_930", "sample_index": 33, "seed": 930, "prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Completeness (Chopping & Stirring)\", \"reason_1\": \"Video 1 depicts the subject performing both chopping and stirring actions as requested.\", \"reason_2\": \"Video 2 only depicts the chopping action; the subject never interacts with the pot or stirs it.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Atmosphere (Lighting & Decor)\", \"reason_1\": \"Video 1 perfectly captures the 'warmly-lit', 'cozy', and 'soft ambient lighting' with prominent cherry blossom decorations.\", \"reason_2\": \"Video 2 has cooler, flatter lighting that feels less 'cozy' and the cherry blossoms are less integrated into the scene's atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Attire & Expression)\", \"reason_1\": \"Video 1 accurately renders the pastel pink apron, white blouse, and the 'focused yet joyful' expression.\", \"reason_2\": \"Video 2 also accurately renders the requested clothing and expression.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 followed the prompt's instructions regarding the subject's actions and the environment's atmosphere much more closely than Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Fluidity & Naturalness\", \"reason_1\": \"The movement in Video 1 is smooth and graceful, fitting the description of 'skillfully' and 'gracefully'.\", \"reason_2\": \"The chopping motion in Video 2 is somewhat repetitive and mechanical, lacking the natural flow of Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"Video 1 has a high-quality, cinematic look with excellent texture rendering on the food and clothing.\", \"reason_2\": \"Video 2 appears slightly more digital and flat, with less depth in the textures.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent throughout the clip.\", \"reason_2\": \"The subject's identity is stable throughout the clip.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 exhibits smoother motion and higher visual fidelity, whereas Video 2 feels slightly more mechanical in its movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Inviting & Serene)\", \"reason_1\": \"Video 1 successfully evokes the 'inviting' and 'serene' mood through warm color grading and soft lighting.\", \"reason_2\": \"Video 2 feels more clinical and lacks the emotional warmth described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 frames the subject and the cooking elements (pot and board) in a balanced way that tells the story.\", \"reason_2\": \"Video 2's framing is a bit tight and focuses mostly on the chopping, missing the context of the stove/pot interaction.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 feels like a complete scene of a cooking demonstration or lifestyle clip.\", \"reason_2\": \"Video 2 feels like a looped segment of a single action without narrative progression.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 excels in creating the specific mood requested, using lighting and composition to evoke a sense of warmth and tradition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully incorporates all key semantic elements of the prompt, specifically the dual actions of chopping and stirring, which Video 2 fails to depict. Additionally, Video 1 captures the requested 'warmly-lit' and 'cozy' atmosphere with superior lighting and set design compared to the flatter lighting in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Completeness (Chopping & Stirring)", "reason_1": "Video 1 depicts the subject performing both chopping and stirring actions as requested.", "reason_2": "Video 2 only depicts the chopping action; the subject never interacts with the pot or stirs it.", "score_1": 9, "score_2": 1}, {"name": "Environmental Atmosphere (Lighting & Decor)", "reason_1": "Video 1 perfectly captures the 'warmly-lit', 'cozy', and 'soft ambient lighting' with prominent cherry blossom decorations.", "reason_2": "Video 2 has cooler, flatter lighting that feels less 'cozy' and the cherry blossoms are less integrated into the scene's atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Attire & Expression)", "reason_1": "Video 1 accurately renders the pastel pink apron, white blouse, and the 'focused yet joyful' expression.", "reason_2": "Video 2 also accurately renders the requested clothing and expression.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 followed the prompt's instructions regarding the subject's actions and the environment's atmosphere much more closely than Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Fluidity & Naturalness", "reason_1": "The movement in Video 1 is smooth and graceful, fitting the description of 'skillfully' and 'gracefully'.", "reason_2": "The chopping motion in Video 2 is somewhat repetitive and mechanical, lacking the natural flow of Video 1.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "Video 1 has a high-quality, cinematic look with excellent texture rendering on the food and clothing.", "reason_2": "Video 2 appears slightly more digital and flat, with less depth in the textures.", "score_1": 7, "score_2": 3}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent throughout the clip.", "reason_2": "The subject's identity is stable throughout the clip.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 exhibits smoother motion and higher visual fidelity, whereas Video 2 feels slightly more mechanical in its movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Inviting & Serene)", "reason_1": "Video 1 successfully evokes the 'inviting' and 'serene' mood through warm color grading and soft lighting.", "reason_2": "Video 2 feels more clinical and lacks the emotional warmth described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 frames the subject and the cooking elements (pot and board) in a balanced way that tells the story.", "reason_2": "Video 2's framing is a bit tight and focuses mostly on the chopping, missing the context of the stove/pot interaction.", "score_1": 7, "score_2": 3}, {"name": "Narrative Completeness", "reason_1": "Video 1 feels like a complete scene of a cooking demonstration or lifestyle clip.", "reason_2": "Video 2 feels like a looped segment of a single action without narrative progression.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 excels in creating the specific mood requested, using lighting and composition to evoke a sense of warmth and tradition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully incorporates all key semantic elements of the prompt, specifically the dual actions of chopping and stirring, which Video 2 fails to depict. Additionally, Video 1 captures the requested 'warmly-lit' and 'cozy' atmosphere with superior lighting and set design compared to the flatter lighting in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 64.0, "total_score_2": 26.0, "elapsed_sec": 54.848} +{"pair_id": "034_seed_42", "sample_index": 34, "seed": 42, "prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Costume Attribute Fidelity (Colors & Materials)\", \"reason_1\": \"Video 1 perfectly renders the requested 'turquoise, magenta, and gold' hues with distinct, high-quality feather textures.\", \"reason_2\": \"Video 2 presents a muddier color palette where the specific hues are less distinct, and the feather textures appear blended and artificial.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Expression & Emotional Tone\", \"reason_1\": \"The dancers in Video 1 display clear, joyous smiles that align perfectly with the 'infectious' energy requested.\", \"reason_2\": \"The expressions in Video 2 are heavily distorted and morphing, creating an uncanny valley effect rather than joy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Specificity (Rhythmic Sway)\", \"reason_1\": \"Video 1 captures the 'rhythmic sway of hips' with natural fluidity and correct anatomical movement.\", \"reason_2\": \"Video 2 attempts the motion but results in jerky, unnatural movements where the body parts move independently of the skeleton.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the specific color palette and costume details requested, whereas Video 2 struggles with color separation and costume definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subjects in Video 1 maintain consistent body shapes and facial features throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe anatomical failure; faces melt, and limbs distort significantly during movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Physics (Feather Dynamics)\", \"reason_1\": \"The large feather headdresses in Video 1 move with realistic inertia and air resistance, fluttering naturally.\", \"reason_2\": \"The feathers in Video 2 behave like liquid or smoke, morphing into the background or the dancers' skin.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp, sharp, and detailed, resembling high-definition footage.\", \"reason_2\": \"Video 2 is blurry, noisy, and lacks fine detail, resembling a low-resolution generation.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by severe artifacts and temporal inconsistency.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is aesthetically pleasing, vibrant, and looks like a professional broadcast clip.\", \"reason_2\": \"The visual experience is marred by constant glitching and distortion, making it unpleasant to watch.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"Video 1 effectively simulates 'bright sunlight' with realistic highlights on the sequins and skin.\", \"reason_2\": \"The lighting in Video 2 is flat and inconsistent, failing to capture the shimmering effect described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"The camera in Video 1 tracks the dancers smoothly, keeping the action centered and clear.\", \"reason_2\": \"The framing in Video 2 is erratic, and the camera movement feels disconnected from the subjects' motion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a visually pleasing and coherent viewing experience, while Video 2 is distracting due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in technical execution, semantic accuracy, and aesthetic appeal. It delivers high-fidelity visuals with stable anatomy, realistic feather physics, and accurate color representation (turquoise, magenta, gold). Video 2 suffers from severe morphological instability, with melting faces, distorted limbs, and low-resolution textures that fail to capture the realism or the specific details of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Costume Attribute Fidelity (Colors & Materials)", "reason_1": "Video 1 perfectly renders the requested 'turquoise, magenta, and gold' hues with distinct, high-quality feather textures.", "reason_2": "Video 2 presents a muddier color palette where the specific hues are less distinct, and the feather textures appear blended and artificial.", "score_1": 9, "score_2": 1}, {"name": "Expression & Emotional Tone", "reason_1": "The dancers in Video 1 display clear, joyous smiles that align perfectly with the 'infectious' energy requested.", "reason_2": "The expressions in Video 2 are heavily distorted and morphing, creating an uncanny valley effect rather than joy.", "score_1": 8, "score_2": 2}, {"name": "Action Specificity (Rhythmic Sway)", "reason_1": "Video 1 captures the 'rhythmic sway of hips' with natural fluidity and correct anatomical movement.", "reason_2": "Video 2 attempts the motion but results in jerky, unnatural movements where the body parts move independently of the skeleton.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the specific color palette and costume details requested, whereas Video 2 struggles with color separation and costume definition.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "The subjects in Video 1 maintain consistent body shapes and facial features throughout the clip.", "reason_2": "Video 2 exhibits severe anatomical failure; faces melt, and limbs distort significantly during movement.", "score_1": 9, "score_2": 1}, {"name": "Object Physics (Feather Dynamics)", "reason_1": "The large feather headdresses in Video 1 move with realistic inertia and air resistance, fluttering naturally.", "reason_2": "The feathers in Video 2 behave like liquid or smoke, morphing into the background or the dancers' skin.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp, sharp, and detailed, resembling high-definition footage.", "reason_2": "Video 2 is blurry, noisy, and lacks fine detail, resembling a low-resolution generation.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by severe artifacts and temporal inconsistency.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is aesthetically pleasing, vibrant, and looks like a professional broadcast clip.", "reason_2": "The visual experience is marred by constant glitching and distortion, making it unpleasant to watch.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Atmosphere", "reason_1": "Video 1 effectively simulates 'bright sunlight' with realistic highlights on the sequins and skin.", "reason_2": "The lighting in Video 2 is flat and inconsistent, failing to capture the shimmering effect described.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion & Framing", "reason_1": "The camera in Video 1 tracks the dancers smoothly, keeping the action centered and clear.", "reason_2": "The framing in Video 2 is erratic, and the camera movement feels disconnected from the subjects' motion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a visually pleasing and coherent viewing experience, while Video 2 is distracting due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in technical execution, semantic accuracy, and aesthetic appeal. It delivers high-fidelity visuals with stable anatomy, realistic feather physics, and accurate color representation (turquoise, magenta, gold). Video 2 suffers from severe morphological instability, with melting faces, distorted limbs, and low-resolution textures that fail to capture the realism or the specific details of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 54.963} +{"pair_id": "034_seed_310", "sample_index": 34, "seed": 310, "prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_310_A vibrant group of Caribbean dancers adorned in da.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_310_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_310_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_310_A vibrant group of Caribbean dancers adorned in da.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Costume Attribute Fidelity (Colors & Materials)\", \"reason_1\": \"Video 1 perfectly renders the requested turquoise, magenta, and gold hues with high-definition feather textures that shimmer as requested.\", \"reason_2\": \"Video 2 presents the correct colors, but the textures are muddy and lack the 'dazzling' and 'shimmering' quality specified in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression & Emotional Tone\", \"reason_1\": \"The dancers in Video 1 display clear, joyous expressions that align with the 'infectious' energy described.\", \"reason_2\": \"The faces in Video 2 are heavily distorted and morph constantly, failing to convey the requested joyous human emotion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Rhythmic Sway & Flutter)\", \"reason_1\": \"Video 1 captures the rhythmic hip sway and the specific physics of feathers fluttering in response to movement.\", \"reason_2\": \"Video 2 shows movement, but it is jerky and lacks the specific 'fluttering' physics of the feathers, which appear as solid blobs.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the specific color palette and the 'joyous' expressions requested, whereas Video 2's facial distortions negate the emotional prompt requirements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Bodies)\", \"reason_1\": \"The subjects maintain consistent anatomical structure and facial identity throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and warping of faces and limbs, breaking the illusion of reality completely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Resolution & Sharpness\", \"reason_1\": \"The image is crisp, with individual feathers and skin textures clearly defined.\", \"reason_2\": \"The video is blurry and low-resolution, with significant noise obscuring the details of the costumes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and the interaction between the dancers and their heavy costumes feels physically grounded.\", \"reason_2\": \"The motion is stuttery and unnatural, with the dancers appearing to float or glitch rather than dance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by severe artifacts and temporal inconsistency.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Vibrancy & Color Harmony\", \"reason_1\": \"The colors are vibrant and well-balanced, creating the 'kaleidoscope' effect mentioned in the prompt.\", \"reason_2\": \"The colors are present but washed out by the overall blurriness and lack of contrast.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Tracking & Composition\", \"reason_1\": \"The camera smoothly follows the group, keeping the dancers well-framed and focused.\", \"reason_2\": \"The framing is acceptable, but the camera movement feels less intentional and contributes to the overall instability.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"Successfully encapsulates the 'essence of Caribbean celebration' through lighting and energy.\", \"reason_2\": \"Fails to create an immersive atmosphere due to the distracting technical flaws.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a visually pleasing and immersive experience with good lighting and composition, whereas Video 2 is visually jarring due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is significantly superior in terms of visual fidelity, temporal stability, and semantic accuracy. It successfully renders the intricate details of the costumes (feathers, colors) and maintains the dancers' anatomical consistency and joyous expressions throughout. Video 2 suffers from severe morphological instability, with faces and bodies distorting heavily, and lacks the sharpness and fluid motion required to depict the 'intricate footwork' and 'fluttering feathers' effectively.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Costume Attribute Fidelity (Colors & Materials)", "reason_1": "Video 1 perfectly renders the requested turquoise, magenta, and gold hues with high-definition feather textures that shimmer as requested.", "reason_2": "Video 2 presents the correct colors, but the textures are muddy and lack the 'dazzling' and 'shimmering' quality specified in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Expression & Emotional Tone", "reason_1": "The dancers in Video 1 display clear, joyous expressions that align with the 'infectious' energy described.", "reason_2": "The faces in Video 2 are heavily distorted and morph constantly, failing to convey the requested joyous human emotion.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Rhythmic Sway & Flutter)", "reason_1": "Video 1 captures the rhythmic hip sway and the specific physics of feathers fluttering in response to movement.", "reason_2": "Video 2 shows movement, but it is jerky and lacks the specific 'fluttering' physics of the feathers, which appear as solid blobs.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the specific color palette and the 'joyous' expressions requested, whereas Video 2's facial distortions negate the emotional prompt requirements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Bodies)", "reason_1": "The subjects maintain consistent anatomical structure and facial identity throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and warping of faces and limbs, breaking the illusion of reality completely.", "score_1": 9, "score_2": 1}, {"name": "Texture Resolution & Sharpness", "reason_1": "The image is crisp, with individual feathers and skin textures clearly defined.", "reason_2": "The video is blurry and low-resolution, with significant noise obscuring the details of the costumes.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and the interaction between the dancers and their heavy costumes feels physically grounded.", "reason_2": "The motion is stuttery and unnatural, with the dancers appearing to float or glitch rather than dance.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by severe artifacts and temporal inconsistency.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Vibrancy & Color Harmony", "reason_1": "The colors are vibrant and well-balanced, creating the 'kaleidoscope' effect mentioned in the prompt.", "reason_2": "The colors are present but washed out by the overall blurriness and lack of contrast.", "score_1": 8, "score_2": 2}, {"name": "Camera Tracking & Composition", "reason_1": "The camera smoothly follows the group, keeping the dancers well-framed and focused.", "reason_2": "The framing is acceptable, but the camera movement feels less intentional and contributes to the overall instability.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Immersion", "reason_1": "Successfully encapsulates the 'essence of Caribbean celebration' through lighting and energy.", "reason_2": "Fails to create an immersive atmosphere due to the distracting technical flaws.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a visually pleasing and immersive experience with good lighting and composition, whereas Video 2 is visually jarring due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is significantly superior in terms of visual fidelity, temporal stability, and semantic accuracy. It successfully renders the intricate details of the costumes (feathers, colors) and maintains the dancers' anatomical consistency and joyous expressions throughout. Video 2 suffers from severe morphological instability, with faces and bodies distorting heavily, and lacks the sharpness and fluid motion required to depict the 'intricate footwork' and 'fluttering feathers' effectively.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 57.23} +{"pair_id": "034_seed_930", "sample_index": 34, "seed": 930, "prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Costume Attribute Fidelity (Feathers & Sequins)\", \"reason_1\": \"Video 1 renders the costumes as amorphous, blurry blobs of color without distinct feathers or sequins.\", \"reason_2\": \"Video 2 clearly renders individual feathers, sequins, and the specific turquoise and magenta hues requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Expression & Emotional Tone\", \"reason_1\": \"The faces in Video 1 are severely distorted and nightmarish, completely failing to convey 'joyous' expressions.\", \"reason_2\": \"The dancers in Video 2 have discernible, smiling faces that align with the 'joyous and infectious' prompt requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Specificity (Twirl & Flutter)\", \"reason_1\": \"Video 1 shows chaotic motion where the 'fluttering' is just a smear of pixels rather than a physical action.\", \"reason_2\": \"Video 2 captures the specific mechanics of twirling and the resulting fluttering of the large feather headdresses.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately depicts the specific details of the prompt, including the texture of the feathers and the joyous expressions. Video 1 fails to render these details, resulting in a vague and distorted interpretation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe 'melting' effects where limbs and faces lose their structure entirely during movement.\", \"reason_2\": \"The dancers' bodies in Video 2 maintain logical human proportions and structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Resolution & Sharpness\", \"reason_1\": \"The video is extremely blurry and low-resolution, lacking any fine detail.\", \"reason_2\": \"The video is sharp, allowing the viewer to see the texture of the skin and the fabric of the costumes.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion is jerky and unnatural, with subjects appearing to glitch rather than dance.\", \"reason_2\": \"Movement is fluid and follows the physics of the dance.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains high visual fidelity and stability. Video 1 is plagued by low resolution, severe artifacts, and a complete breakdown of subject permanence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Vibrancy & Color\", \"reason_1\": \"While colorful, the colors are muddy and washed out due to the low quality generation.\", \"reason_2\": \"The colors are vibrant, distinct, and accurately reflect the 'kaleidoscope' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Tracking & Framing\", \"reason_1\": \"The camera work feels random and disorienting, often losing focus on the primary subjects.\", \"reason_2\": \"The camera effectively follows the group, keeping the main dancers in frame as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unpleasant due to the high level of distortion and artifacts.\", \"reason_2\": \"The video is aesthetically pleasing and looks like a professional capture of a carnival.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully captures the festive atmosphere and aesthetic beauty of a carnival. Video 1 is visually unappealing due to technical failures.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is superior in every aspect, offering a high-resolution, stable, and anatomically correct representation of the prompt. It successfully renders the intricate details of the costumes (feathers, sequins) and the joyous expressions of the dancers. Video 1 suffers from severe morphological instability, with faces and bodies melting into unrecognizable shapes, and lacks the visual clarity required to appreciate the details described in the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Costume Attribute Fidelity (Feathers & Sequins)", "reason_1": "Video 1 renders the costumes as amorphous, blurry blobs of color without distinct feathers or sequins.", "reason_2": "Video 2 clearly renders individual feathers, sequins, and the specific turquoise and magenta hues requested.", "score_1": 1, "score_2": 9}, {"name": "Expression & Emotional Tone", "reason_1": "The faces in Video 1 are severely distorted and nightmarish, completely failing to convey 'joyous' expressions.", "reason_2": "The dancers in Video 2 have discernible, smiling faces that align with the 'joyous and infectious' prompt requirement.", "score_1": 1, "score_2": 9}, {"name": "Action Specificity (Twirl & Flutter)", "reason_1": "Video 1 shows chaotic motion where the 'fluttering' is just a smear of pixels rather than a physical action.", "reason_2": "Video 2 captures the specific mechanics of twirling and the resulting fluttering of the large feather headdresses.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately depicts the specific details of the prompt, including the texture of the feathers and the joyous expressions. Video 1 fails to render these details, resulting in a vague and distorted interpretation.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe 'melting' effects where limbs and faces lose their structure entirely during movement.", "reason_2": "The dancers' bodies in Video 2 maintain logical human proportions and structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Texture Resolution & Sharpness", "reason_1": "The video is extremely blurry and low-resolution, lacking any fine detail.", "reason_2": "The video is sharp, allowing the viewer to see the texture of the skin and the fabric of the costumes.", "score_1": 1, "score_2": 9}, {"name": "Motion Coherence", "reason_1": "The motion is jerky and unnatural, with subjects appearing to glitch rather than dance.", "reason_2": "Movement is fluid and follows the physics of the dance.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains high visual fidelity and stability. Video 1 is plagued by low resolution, severe artifacts, and a complete breakdown of subject permanence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Vibrancy & Color", "reason_1": "While colorful, the colors are muddy and washed out due to the low quality generation.", "reason_2": "The colors are vibrant, distinct, and accurately reflect the 'kaleidoscope' description.", "score_1": 2, "score_2": 8}, {"name": "Camera Tracking & Framing", "reason_1": "The camera work feels random and disorienting, often losing focus on the primary subjects.", "reason_2": "The camera effectively follows the group, keeping the main dancers in frame as requested.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unpleasant due to the high level of distortion and artifacts.", "reason_2": "The video is aesthetically pleasing and looks like a professional capture of a carnival.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully captures the festive atmosphere and aesthetic beauty of a carnival. Video 1 is visually unappealing due to technical failures.", "cat_winner": "Video 2"}], "reason": "Video 2 is superior in every aspect, offering a high-resolution, stable, and anatomically correct representation of the prompt. It successfully renders the intricate details of the costumes (feathers, sequins) and the joyous expressions of the dancers. Video 1 suffers from severe morphological instability, with faces and bodies melting into unrecognizable shapes, and lacks the visual clarity required to appreciate the details described in the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 13.0, "total_score_2": 77.0, "elapsed_sec": 57.383} +{"pair_id": "035_seed_42", "sample_index": 35, "seed": 42, "prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_42_A joyful Chinese family gathers in a warmly lit li.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_42_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_42_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_42_A joyful Chinese family gathers in a warmly lit li.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Exchanging Envelopes)\", \"reason_1\": \"Video 1 clearly depicts the family members holding and interacting with the red envelopes, fulfilling the core action prompt.\", \"reason_2\": \"Video 2 shows the family holding red envelopes, but the interaction is static and lacks the dynamic 'exchanging' motion described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Attire & Feast)\", \"reason_1\": \"Video 1 features the turkey and decorations, but the clothing is less distinctively 'traditional' compared to Video 2.\", \"reason_2\": \"Video 2 features a turkey and decorations, and the clothing (e.g., the man's tunic) feels slightly more aligned with the 'traditional attire' prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Atmosphere (Warmth & Lighting)\", \"reason_1\": \"Video 1 perfectly captures the 'warmly lit' and 'soft glow' description, creating a cozy, festive atmosphere.\", \"reason_2\": \"Video 2 has flatter, cooler lighting that fails to evoke the 'warmth' and 'soft glow' requested in the prompt.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 better captures the specific atmospheric and action-oriented requirements of the prompt, particularly the 'warmly lit' ambiance and the active 'exchanging' of envelopes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Magnitude & Fluidity\", \"reason_1\": \"Video 1 displays significant motion in the characters' gestures and heads, qualifying it as a video.\", \"reason_2\": \"Video 2 is functionally a still image with barely perceptible micro-movement, failing the basic criteria of dynamic video generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Face/Body)\", \"reason_1\": \"Video 1 suffers from severe distortion; faces melt and change shape unnaturally during movement.\", \"reason_2\": \"Video 2 is highly stable, but only because it lacks the movement that typically triggers such distortions.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 has a softer, slightly blurry quality with noticeable generation artifacts.\", \"reason_2\": \"Video 2 is crisp, sharp, and has high texture resolution, resembling a high-quality photograph.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Although Video 2 is visually cleaner, Video 1 wins this category by default for actually possessing 'Dynamic' qualities. Video 2 is essentially a static image, which is a critical failure in a video generation task.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Joy & Laughter)\", \"reason_1\": \"The characters in Video 1 are actively laughing and smiling, conveying the 'joyful' and 'happiness' prompt requirements vividly.\", \"reason_2\": \"The characters in Video 2 have fixed smiles that feel posed and lack the dynamic energy of 'laughter'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Lighting & Color Grading\", \"reason_1\": \"Video 1 utilizes a rich, warm color palette that enhances the festive mood.\", \"reason_2\": \"Video 2 uses standard, neutral lighting that feels clinical and less cinematic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Engagement\", \"reason_1\": \"The movement and interaction in Video 1 create a sense of a 'moment' being captured.\", \"reason_2\": \"The lack of movement in Video 2 makes it feel like a stock photo rather than a narrative scene.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 excels in conveying the emotional tone of the prompt. The lighting and expressions create a genuine sense of celebration, whereas Video 2 feels posed and artificial.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner because it successfully generates a dynamic video sequence that captures the 'joyful' and 'exchanging' actions described in the prompt. While Video 2 offers superior image sharpness and stability, it fails fundamentally as a video generation, appearing almost entirely static (resembling a still image). Video 1, despite suffering from significant morphological instability (warping faces), correctly interprets the prompt's request for motion, atmosphere, and interaction, delivering the requested festive energy.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Exchanging Envelopes)", "reason_1": "Video 1 clearly depicts the family members holding and interacting with the red envelopes, fulfilling the core action prompt.", "reason_2": "Video 2 shows the family holding red envelopes, but the interaction is static and lacks the dynamic 'exchanging' motion described.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Attire & Feast)", "reason_1": "Video 1 features the turkey and decorations, but the clothing is less distinctively 'traditional' compared to Video 2.", "reason_2": "Video 2 features a turkey and decorations, and the clothing (e.g., the man's tunic) feels slightly more aligned with the 'traditional attire' prompt.", "score_1": 4, "score_2": 6}, {"name": "Environmental Atmosphere (Warmth & Lighting)", "reason_1": "Video 1 perfectly captures the 'warmly lit' and 'soft glow' description, creating a cozy, festive atmosphere.", "reason_2": "Video 2 has flatter, cooler lighting that fails to evoke the 'warmth' and 'soft glow' requested in the prompt.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 better captures the specific atmospheric and action-oriented requirements of the prompt, particularly the 'warmly lit' ambiance and the active 'exchanging' of envelopes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Magnitude & Fluidity", "reason_1": "Video 1 displays significant motion in the characters' gestures and heads, qualifying it as a video.", "reason_2": "Video 2 is functionally a still image with barely perceptible micro-movement, failing the basic criteria of dynamic video generation.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Face/Body)", "reason_1": "Video 1 suffers from severe distortion; faces melt and change shape unnaturally during movement.", "reason_2": "Video 2 is highly stable, but only because it lacks the movement that typically triggers such distortions.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 has a softer, slightly blurry quality with noticeable generation artifacts.", "reason_2": "Video 2 is crisp, sharp, and has high texture resolution, resembling a high-quality photograph.", "score_1": 3, "score_2": 7}], "cat_reason": "Although Video 2 is visually cleaner, Video 1 wins this category by default for actually possessing 'Dynamic' qualities. Video 2 is essentially a static image, which is a critical failure in a video generation task.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Joy & Laughter)", "reason_1": "The characters in Video 1 are actively laughing and smiling, conveying the 'joyful' and 'happiness' prompt requirements vividly.", "reason_2": "The characters in Video 2 have fixed smiles that feel posed and lack the dynamic energy of 'laughter'.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Lighting & Color Grading", "reason_1": "Video 1 utilizes a rich, warm color palette that enhances the festive mood.", "reason_2": "Video 2 uses standard, neutral lighting that feels clinical and less cinematic.", "score_1": 8, "score_2": 2}, {"name": "Narrative Engagement", "reason_1": "The movement and interaction in Video 1 create a sense of a 'moment' being captured.", "reason_2": "The lack of movement in Video 2 makes it feel like a stock photo rather than a narrative scene.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 excels in conveying the emotional tone of the prompt. The lighting and expressions create a genuine sense of celebration, whereas Video 2 feels posed and artificial.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner because it successfully generates a dynamic video sequence that captures the 'joyful' and 'exchanging' actions described in the prompt. While Video 2 offers superior image sharpness and stability, it fails fundamentally as a video generation, appearing almost entirely static (resembling a still image). Video 1, despite suffering from significant morphological instability (warping faces), correctly interprets the prompt's request for motion, atmosphere, and interaction, delivering the requested festive energy.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 58.0, "total_score_2": 32.0, "elapsed_sec": 59.533} +{"pair_id": "035_seed_310", "sample_index": 35, "seed": 310, "prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_310_A joyful Chinese family gathers in a warmly lit li.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_310_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_310_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_310_A joyful Chinese family gathers in a warmly lit li.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Exchanging Envelopes)\", \"reason_1\": \"Video 1 clearly depicts the family members holding and waving red envelopes, aligning well with the prompt's instruction to 'exchange' them.\", \"reason_2\": \"Video 2 fails to render the red envelopes as distinct objects; they appear as large, undefined red shapes or cups that obscure the subjects' faces.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The subjects in Video 1 maintain recognizable human features and expressions throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe anatomical failures; the faces of the subjects (especially the woman in the center) melt and distort into unnatural shapes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental & Object Completeness\", \"reason_1\": \"Video 1 successfully includes the turkey, lanterns, and decorations in a coherent living room setting.\", \"reason_2\": \"Video 2 also successfully generates the required environmental elements, including the turkey and festive decor, matching Video 1 in this specific regard.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 accurately depicts the specific action of exchanging red envelopes and maintains the structural integrity of the human subjects, whereas Video 2 fails to render the envelopes clearly and distorts the subjects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Hands)\", \"reason_1\": \"Video 1 maintains the shape and identity of the faces and hands with minimal distortion during movement.\", \"reason_2\": \"Video 2 exhibits extreme morphing; faces lose their structure entirely, turning into blurry or distorted textures during the motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Persistence (Red Envelopes)\", \"reason_1\": \"The red envelopes in Video 1 remain relatively consistent in size and shape as they are moved.\", \"reason_2\": \"The red objects in Video 2 fluctuate wildly in size and shape, appearing to merge with the subjects' hands or faces.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The movement in Video 1 is fluid and natural, mimicking a real video recording.\", \"reason_2\": \"The motion in Video 2 is jerky and unnatural, driven by the morphing of the subjects rather than realistic physical movement.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior stability and consistency. Video 2 is plagued by significant artifacts, morphing, and loss of subject identity over time.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity\", \"reason_1\": \"The expressions in Video 1 genuinely convey joy and laughter, fitting the 'warmth and togetherness' description.\", \"reason_2\": \"The distorted faces in Video 2 create an uncanny and disturbing effect, completely failing to convey the intended joy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Appeal & Composition\", \"reason_1\": \"Video 1 has a balanced composition with clear focus on the family interaction.\", \"reason_2\": \"While the framing is similar, the visual appeal is destroyed by the low-quality rendering of the primary subjects.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Lighting\", \"reason_1\": \"Video 1 effectively captures the 'warmly lit' and 'soft glow' atmosphere requested.\", \"reason_2\": \"Video 2 also succeeds in generating the warm, festive lighting and color palette.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 successfully conveys the intended mood of joy and celebration. Video 2's visual glitches create an uncanny and disturbing atmosphere that contradicts the prompt's emotional intent.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its significantly higher temporal stability and anatomical consistency. While both videos capture the static elements of the prompt (turkey, lanterns, family), Video 2 suffers from severe morphological distortion, where the subjects' faces and the red envelopes melt and deform unnaturally. Video 1 maintains the identity of the subjects and the shape of the objects throughout the motion, successfully conveying the requested joyful atmosphere without the distracting visual artifacts present in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Exchanging Envelopes)", "reason_1": "Video 1 clearly depicts the family members holding and waving red envelopes, aligning well with the prompt's instruction to 'exchange' them.", "reason_2": "Video 2 fails to render the red envelopes as distinct objects; they appear as large, undefined red shapes or cups that obscure the subjects' faces.", "score_1": 8, "score_2": 2}, {"name": "Subject Anatomical Logic", "reason_1": "The subjects in Video 1 maintain recognizable human features and expressions throughout the clip.", "reason_2": "Video 2 suffers from severe anatomical failures; the faces of the subjects (especially the woman in the center) melt and distort into unnatural shapes.", "score_1": 8, "score_2": 2}, {"name": "Environmental & Object Completeness", "reason_1": "Video 1 successfully includes the turkey, lanterns, and decorations in a coherent living room setting.", "reason_2": "Video 2 also successfully generates the required environmental elements, including the turkey and festive decor, matching Video 1 in this specific regard.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 accurately depicts the specific action of exchanging red envelopes and maintains the structural integrity of the human subjects, whereas Video 2 fails to render the envelopes clearly and distorts the subjects.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Hands)", "reason_1": "Video 1 maintains the shape and identity of the faces and hands with minimal distortion during movement.", "reason_2": "Video 2 exhibits extreme morphing; faces lose their structure entirely, turning into blurry or distorted textures during the motion.", "score_1": 9, "score_2": 1}, {"name": "Object Persistence (Red Envelopes)", "reason_1": "The red envelopes in Video 1 remain relatively consistent in size and shape as they are moved.", "reason_2": "The red objects in Video 2 fluctuate wildly in size and shape, appearing to merge with the subjects' hands or faces.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Coherence", "reason_1": "The movement in Video 1 is fluid and natural, mimicking a real video recording.", "reason_2": "The motion in Video 2 is jerky and unnatural, driven by the morphing of the subjects rather than realistic physical movement.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior stability and consistency. Video 2 is plagued by significant artifacts, morphing, and loss of subject identity over time.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity", "reason_1": "The expressions in Video 1 genuinely convey joy and laughter, fitting the 'warmth and togetherness' description.", "reason_2": "The distorted faces in Video 2 create an uncanny and disturbing effect, completely failing to convey the intended joy.", "score_1": 9, "score_2": 1}, {"name": "Visual Appeal & Composition", "reason_1": "Video 1 has a balanced composition with clear focus on the family interaction.", "reason_2": "While the framing is similar, the visual appeal is destroyed by the low-quality rendering of the primary subjects.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Lighting", "reason_1": "Video 1 effectively captures the 'warmly lit' and 'soft glow' atmosphere requested.", "reason_2": "Video 2 also succeeds in generating the warm, festive lighting and color palette.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 successfully conveys the intended mood of joy and celebration. Video 2's visual glitches create an uncanny and disturbing atmosphere that contradicts the prompt's emotional intent.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its significantly higher temporal stability and anatomical consistency. While both videos capture the static elements of the prompt (turkey, lanterns, family), Video 2 suffers from severe morphological distortion, where the subjects' faces and the red envelopes melt and deform unnaturally. Video 1 maintains the identity of the subjects and the shape of the objects throughout the motion, successfully conveying the requested joyful atmosphere without the distracting visual artifacts present in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 57.463} +{"pair_id": "035_seed_930", "sample_index": 35, "seed": 930, "prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Exchanging Envelopes)\", \"reason_1\": \"Video 1 depicts the family members holding red envelopes, but the interaction is static and lacks the dynamic 'exchanging' motion described.\", \"reason_2\": \"Video 2 clearly depicts the active motion of passing and receiving red envelopes, aligning perfectly with the prompt's instruction to 'exchange' them.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attributes (Attire & Appearance)\", \"reason_1\": \"The subjects in Video 1 are dressed in generic, plain clothing that does not strongly evoke the 'traditional attire' requested.\", \"reason_2\": \"Video 2 features subjects in patterned, culturally distinct clothing that aligns much better with the description of 'traditional attire' for a Lunar New Year celebration.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Detail (Decorations)\", \"reason_1\": \"Video 1 includes lanterns but the background is somewhat sparse and generic.\", \"reason_2\": \"Video 2 features a wall densely decorated with intricate paper knots and red ornaments, better fulfilling the prompt's request for 'intricate paper decorations'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific details of the prompt—such as the intricate decorations and the active exchange of envelopes—much more effectively than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"Video 1 exhibits severe distortion; the faces of the subjects morph, melt, and lose structural integrity as they move, creating a disturbing uncanny valley effect.\", \"reason_2\": \"Video 2 maintains consistent facial structures and expressions throughout the clip, with no noticeable warping or melting.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Object Physics & Interaction\", \"reason_1\": \"The red envelopes in Video 1 appear to float or merge with hands, lacking physical weight and logical interaction.\", \"reason_2\": \"The envelopes in Video 2 follow logical trajectories during the exchange, interacting naturally with the hands of the subjects.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Texture\", \"reason_1\": \"The image in Video 1 is softer and lacks definition, particularly in the food and clothing textures.\", \"reason_2\": \"Video 2 is sharper, with distinct textures visible on the roasted turkey and the fabric of the clothing.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This is the deciding category. Video 1 fails significantly due to severe facial hallucinations and morphing, whereas Video 2 remains stable and coherent.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity\", \"reason_1\": \"Due to the facial distortions, the intended 'joyful' emotion comes across as eerie and unnatural.\", \"reason_2\": \"The subjects display genuine, stable smiles and laughter, effectively conveying the 'warmth and togetherness' requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is functional but feels a bit cluttered and lacks a clear focal point for the interaction.\", \"reason_2\": \"The composition centers the table and the exchange action well, creating a balanced and engaging visual narrative.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Lighting\", \"reason_1\": \"Video 1 successfully captures the 'warmly lit' and 'soft glow' atmosphere described in the prompt.\", \"reason_2\": \"Video 2 also succeeds in creating a warm, festive lighting environment that enhances the celebratory mood.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 successfully conveys the intended mood of joy and celebration, whereas the visual artifacts in Video 1 detract from the aesthetic appeal.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior temporal stability and semantic accuracy. While Video 1 suffers from severe facial morphing and distortion that creates an uncanny effect, Video 2 maintains consistent subject identities and realistic expressions. Furthermore, Video 2 accurately depicts the specific action of 'exchanging' envelopes and features more culturally distinct attire and decorations, whereas Video 1 is largely static and generic.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Exchanging Envelopes)", "reason_1": "Video 1 depicts the family members holding red envelopes, but the interaction is static and lacks the dynamic 'exchanging' motion described.", "reason_2": "Video 2 clearly depicts the active motion of passing and receiving red envelopes, aligning perfectly with the prompt's instruction to 'exchange' them.", "score_1": 3, "score_2": 7}, {"name": "Subject Attributes (Attire & Appearance)", "reason_1": "The subjects in Video 1 are dressed in generic, plain clothing that does not strongly evoke the 'traditional attire' requested.", "reason_2": "Video 2 features subjects in patterned, culturally distinct clothing that aligns much better with the description of 'traditional attire' for a Lunar New Year celebration.", "score_1": 3, "score_2": 7}, {"name": "Environmental Detail (Decorations)", "reason_1": "Video 1 includes lanterns but the background is somewhat sparse and generic.", "reason_2": "Video 2 features a wall densely decorated with intricate paper knots and red ornaments, better fulfilling the prompt's request for 'intricate paper decorations'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific details of the prompt—such as the intricate decorations and the active exchange of envelopes—much more effectively than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "Video 1 exhibits severe distortion; the faces of the subjects morph, melt, and lose structural integrity as they move, creating a disturbing uncanny valley effect.", "reason_2": "Video 2 maintains consistent facial structures and expressions throughout the clip, with no noticeable warping or melting.", "score_1": 1, "score_2": 9}, {"name": "Object Physics & Interaction", "reason_1": "The red envelopes in Video 1 appear to float or merge with hands, lacking physical weight and logical interaction.", "reason_2": "The envelopes in Video 2 follow logical trajectories during the exchange, interacting naturally with the hands of the subjects.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Texture", "reason_1": "The image in Video 1 is softer and lacks definition, particularly in the food and clothing textures.", "reason_2": "Video 2 is sharper, with distinct textures visible on the roasted turkey and the fabric of the clothing.", "score_1": 4, "score_2": 6}], "cat_reason": "This is the deciding category. Video 1 fails significantly due to severe facial hallucinations and morphing, whereas Video 2 remains stable and coherent.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity", "reason_1": "Due to the facial distortions, the intended 'joyful' emotion comes across as eerie and unnatural.", "reason_2": "The subjects display genuine, stable smiles and laughter, effectively conveying the 'warmth and togetherness' requested.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is functional but feels a bit cluttered and lacks a clear focal point for the interaction.", "reason_2": "The composition centers the table and the exchange action well, creating a balanced and engaging visual narrative.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Lighting", "reason_1": "Video 1 successfully captures the 'warmly lit' and 'soft glow' atmosphere described in the prompt.", "reason_2": "Video 2 also succeeds in creating a warm, festive lighting environment that enhances the celebratory mood.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 successfully conveys the intended mood of joy and celebration, whereas the visual artifacts in Video 1 detract from the aesthetic appeal.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior temporal stability and semantic accuracy. While Video 1 suffers from severe facial morphing and distortion that creates an uncanny effect, Video 2 maintains consistent subject identities and realistic expressions. Furthermore, Video 2 accurately depicts the specific action of 'exchanging' envelopes and features more culturally distinct attire and decorations, whereas Video 1 is largely static and generic.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 58.872} +{"pair_id": "036_seed_42", "sample_index": 36, "seed": 42, "prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_42_A majestic Maasai warrior stands tall on the sunli.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_42_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_42_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_42_A majestic Maasai warrior stands tall on the sunli.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Fidelity (Shuka & Jewelry)\", \"reason_1\": \"Video 1 renders the red shuka and beaded jewelry with high texture fidelity and realistic material properties.\", \"reason_2\": \"Video 2 includes the correct items, but the jewelry appears somewhat flat and the shuka lacks the fabric weight seen in Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Adherence (Eyes Scanning)\", \"reason_1\": \"Video 1 depicts the warrior turning his head and shifting his gaze, accurately fulfilling the 'eyes scanning the horizon' instruction.\", \"reason_2\": \"Video 2 is a static image; the subject's eyes are fixed in one direction with no scanning motion whatsoever.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Savannah & Acacia)\", \"reason_1\": \"Video 1 places the subject in a convincing, depth-filled savannah environment with natural lighting.\", \"reason_2\": \"Video 2 features the correct background elements (acacia trees, blue sky) but they appear as a flat, static backdrop.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"While both videos accurately depict the static elements (warrior, red shuka, spear, beads), Video 1 is the only one that fulfills the dynamic semantic requirement of the subject's eyes 'scanning the horizon'.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Presence & Fluidity\", \"reason_1\": \"Video 1 exhibits smooth, natural motion in the subject's head, body, and the surrounding grass.\", \"reason_2\": \"Video 2 is completely static with zero perceptible motion, failing the basic criteria of video generation.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"Video 1 features realistic skin pores, lighting interaction, and fabric textures.\", \"reason_2\": \"Video 2 has a 'digital art' or 'plastic' aesthetic with oversaturated colors and smooth, unrealistic skin textures.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Shadow Dynamics\", \"reason_1\": \"Video 1 utilizes natural sunlight that casts realistic shadows and highlights the subject's features.\", \"reason_2\": \"Video 2 uses flat, high-contrast lighting that lacks depth and dynamic range.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high-quality video generation with realistic motion and photorealistic textures. Video 2 fails this category entirely as it lacks motion and resembles a digital illustration rather than a realistic video.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Depth & Composition\", \"reason_1\": \"Video 1 uses a shallow depth of field (bokeh) to separate the subject from the background, creating a cinematic look.\", \"reason_2\": \"Video 2 is visually flat with everything in relatively sharp focus, resembling a 2D collage.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression of Pride & Resilience\", \"reason_1\": \"The subtle facial movements in Video 1 convey a sense of living presence and resilience.\", \"reason_2\": \"The static, frozen expression in Video 2 feels stiff and lacks emotional nuance.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Naturalism\", \"reason_1\": \"Video 1 maintains a natural color palette consistent with a sunlit savannah.\", \"reason_2\": \"Video 2 is oversaturated, particularly the reds and blues, giving it an artificial, cartoon-like appearance.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 employs cinematic techniques like depth of field and natural color grading to evoke the requested 'majestic' mood. Video 2 lacks cinematic depth and feels like a static poster.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a superior generation because it is an actual video with fluid motion, realistic lighting, and cinematic depth, whereas Video 2 is effectively a static image with no perceptible movement. Video 1 successfully captures the dynamic action of 'eyes scanning' and renders the textures of the skin and jewelry with photorealistic fidelity, while Video 2 suffers from a plastic, oversaturated aesthetic typical of lower-quality static image generation.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Fidelity (Shuka & Jewelry)", "reason_1": "Video 1 renders the red shuka and beaded jewelry with high texture fidelity and realistic material properties.", "reason_2": "Video 2 includes the correct items, but the jewelry appears somewhat flat and the shuka lacks the fabric weight seen in Video 1.", "score_1": 6, "score_2": 4}, {"name": "Action Adherence (Eyes Scanning)", "reason_1": "Video 1 depicts the warrior turning his head and shifting his gaze, accurately fulfilling the 'eyes scanning the horizon' instruction.", "reason_2": "Video 2 is a static image; the subject's eyes are fixed in one direction with no scanning motion whatsoever.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Savannah & Acacia)", "reason_1": "Video 1 places the subject in a convincing, depth-filled savannah environment with natural lighting.", "reason_2": "Video 2 features the correct background elements (acacia trees, blue sky) but they appear as a flat, static backdrop.", "score_1": 6, "score_2": 4}], "cat_reason": "While both videos accurately depict the static elements (warrior, red shuka, spear, beads), Video 1 is the only one that fulfills the dynamic semantic requirement of the subject's eyes 'scanning the horizon'.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Presence & Fluidity", "reason_1": "Video 1 exhibits smooth, natural motion in the subject's head, body, and the surrounding grass.", "reason_2": "Video 2 is completely static with zero perceptible motion, failing the basic criteria of video generation.", "score_1": 10, "score_2": 0}, {"name": "Photorealistic Texture Rendering", "reason_1": "Video 1 features realistic skin pores, lighting interaction, and fabric textures.", "reason_2": "Video 2 has a 'digital art' or 'plastic' aesthetic with oversaturated colors and smooth, unrealistic skin textures.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Shadow Dynamics", "reason_1": "Video 1 utilizes natural sunlight that casts realistic shadows and highlights the subject's features.", "reason_2": "Video 2 uses flat, high-contrast lighting that lacks depth and dynamic range.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high-quality video generation with realistic motion and photorealistic textures. Video 2 fails this category entirely as it lacks motion and resembles a digital illustration rather than a realistic video.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Depth & Composition", "reason_1": "Video 1 uses a shallow depth of field (bokeh) to separate the subject from the background, creating a cinematic look.", "reason_2": "Video 2 is visually flat with everything in relatively sharp focus, resembling a 2D collage.", "score_1": 8, "score_2": 2}, {"name": "Expression of Pride & Resilience", "reason_1": "The subtle facial movements in Video 1 convey a sense of living presence and resilience.", "reason_2": "The static, frozen expression in Video 2 feels stiff and lacks emotional nuance.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Naturalism", "reason_1": "Video 1 maintains a natural color palette consistent with a sunlit savannah.", "reason_2": "Video 2 is oversaturated, particularly the reds and blues, giving it an artificial, cartoon-like appearance.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 employs cinematic techniques like depth of field and natural color grading to evoke the requested 'majestic' mood. Video 2 lacks cinematic depth and feels like a static poster.", "cat_winner": "Video 1"}], "reason": "Video 1 is a superior generation because it is an actual video with fluid motion, realistic lighting, and cinematic depth, whereas Video 2 is effectively a static image with no perceptible movement. Video 1 successfully captures the dynamic action of 'eyes scanning' and renders the textures of the skin and jewelry with photorealistic fidelity, while Video 2 suffers from a plastic, oversaturated aesthetic typical of lower-quality static image generation.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 57.181} +{"pair_id": "036_seed_310", "sample_index": 36, "seed": 310, "prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_310_A majestic Maasai warrior stands tall on the sunli.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_310_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_310_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_310_A majestic Maasai warrior stands tall on the sunli.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Object Logic & Integrity (The Spear)\", \"reason_1\": \"Video 1 fails significantly here; the spear hallucinates into two separate, glitchy objects that float independently, breaking the semantic reality of the prompt.\", \"reason_2\": \"Video 2 renders a single, solid, and logically held spear that remains consistent throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Fidelity (Jewelry & Shuka)\", \"reason_1\": \"Video 1 captures the colors well, but the jewelry lacks definition and appears somewhat melted or blended into the skin.\", \"reason_2\": \"Video 2 renders the 'intricate details' of the beads with high precision, showing distinct shapes and colors, and the red shuka has realistic fabric texture.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Savannah & Sky)\", \"reason_1\": \"Video 1 accurately depicts the golden grasses and acacia trees under a blue sky.\", \"reason_2\": \"Video 2 also accurately depicts the environment, with perhaps slightly better depth of field separating the subject from the background.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 accurately renders all prompt elements with logical consistency. Video 1 fails the specific requirement of holding 'a spear' by generating a glitchy, dual-object artifact.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The spear in Video 1 is extremely unstable, splitting and morphing shape constantly, which is a major technical flaw.\", \"reason_2\": \"Video 2 maintains perfect rigidity and shape consistency for the spear and the warrior's features throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is somewhat soft, and the details on the face and beads are blurred.\", \"reason_2\": \"The video is sharp, with high-resolution textures visible on the skin, beads, and grass.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion is minimal, but the glitching of the object distracts from any natural movement.\", \"reason_2\": \"The warrior's head turn and the subtle camera movement are smooth and physically plausible.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe morphing artifacts and lower resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"The lighting is flat and functional but lacks the 'majestic' quality requested.\", \"reason_2\": \"The lighting is dynamic, highlighting the contours of the face and the beads, creating a more cinematic look.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Expression of Pride & Resilience\", \"reason_1\": \"The expression is somewhat neutral and obscured by the lower fidelity of the face.\", \"reason_2\": \"The subject has a distinct, stoic expression that aligns well with the prompt's request for 'pride and resilience'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is heavily penalized by the distracting artifacts and lower image quality.\", \"reason_2\": \"The video is aesthetically pleasing, with rich colors and a clean, professional composition.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'majestic' and 'timeless beauty' requested by the prompt through superior lighting and composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, stability, and semantic accuracy. While Video 1 attempts the prompt, it suffers from a critical hallucination where the spear splits into two disjointed objects, breaking physical logic. Video 2 maintains a coherent, high-resolution image with intricate details in the jewelry and a stable, realistic spear, perfectly capturing the majestic tone of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Object Logic & Integrity (The Spear)", "reason_1": "Video 1 fails significantly here; the spear hallucinates into two separate, glitchy objects that float independently, breaking the semantic reality of the prompt.", "reason_2": "Video 2 renders a single, solid, and logically held spear that remains consistent throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Attribute Fidelity (Jewelry & Shuka)", "reason_1": "Video 1 captures the colors well, but the jewelry lacks definition and appears somewhat melted or blended into the skin.", "reason_2": "Video 2 renders the 'intricate details' of the beads with high precision, showing distinct shapes and colors, and the red shuka has realistic fabric texture.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Savannah & Sky)", "reason_1": "Video 1 accurately depicts the golden grasses and acacia trees under a blue sky.", "reason_2": "Video 2 also accurately depicts the environment, with perhaps slightly better depth of field separating the subject from the background.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 accurately renders all prompt elements with logical consistency. Video 1 fails the specific requirement of holding 'a spear' by generating a glitchy, dual-object artifact.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The spear in Video 1 is extremely unstable, splitting and morphing shape constantly, which is a major technical flaw.", "reason_2": "Video 2 maintains perfect rigidity and shape consistency for the spear and the warrior's features throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is somewhat soft, and the details on the face and beads are blurred.", "reason_2": "The video is sharp, with high-resolution textures visible on the skin, beads, and grass.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness", "reason_1": "The motion is minimal, but the glitching of the object distracts from any natural movement.", "reason_2": "The warrior's head turn and the subtle camera movement are smooth and physically plausible.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe morphing artifacts and lower resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "The lighting is flat and functional but lacks the 'majestic' quality requested.", "reason_2": "The lighting is dynamic, highlighting the contours of the face and the beads, creating a more cinematic look.", "score_1": 4, "score_2": 6}, {"name": "Expression of Pride & Resilience", "reason_1": "The expression is somewhat neutral and obscured by the lower fidelity of the face.", "reason_2": "The subject has a distinct, stoic expression that aligns well with the prompt's request for 'pride and resilience'.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is heavily penalized by the distracting artifacts and lower image quality.", "reason_2": "The video is aesthetically pleasing, with rich colors and a clean, professional composition.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'majestic' and 'timeless beauty' requested by the prompt through superior lighting and composition.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, stability, and semantic accuracy. While Video 1 attempts the prompt, it suffers from a critical hallucination where the spear splits into two disjointed objects, breaking physical logic. Video 2 maintains a coherent, high-resolution image with intricate details in the jewelry and a stable, realistic spear, perfectly capturing the majestic tone of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 56.838} +{"pair_id": "036_seed_930", "sample_index": 36, "seed": 930, "prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Anatomical Logic (Face & Head)\", \"reason_1\": \"Video 1 suffers from a severe hallucination where the subject's face is melted and distorted, completely failing to render a human visage.\", \"reason_2\": \"Video 2 renders a perfectly structured, realistic human face with clear features.\", \"score_1\": 0, \"score_2\": 10}, {\"name\": \"Attribute Fidelity (Jewelry & Shuka)\", \"reason_1\": \"While the colors are present, the jewelry in Video 1 is blurry and lacks the 'intricate details' requested by the prompt.\", \"reason_2\": \"The beaded jewelry in Video 2 is sharp, distinct, and intricate, matching the prompt's request for detail.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Savannah & Sky)\", \"reason_1\": \"Video 1 depicts the environment, but the background trees and grass appear slightly more artificial and less integrated with the lighting.\", \"reason_2\": \"Video 2 depicts a realistic, vast savannah with natural lighting and depth.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders the human subject with the requested attributes. Video 1 fails the most critical semantic requirement: rendering a recognizable human face.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The subject's face in Video 1 morphs and melts significantly as the video progresses, breaking all immersion.\", \"reason_2\": \"The subject in Video 2 remains solid and consistent throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video has a 'smoothed over' AI look, lacking high-frequency texture details on the skin and clothing.\", \"reason_2\": \"Skin texture, fabric weave, and bead surfaces are rendered with high definition and realism.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion is fluid but results in warping artifacts, making the movement feel unnatural and dream-like in a negative way.\", \"reason_2\": \"The motion is minimal (mostly breathing and subtle head movement), but it is physically plausible and realistic.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains high visual fidelity and stability. Video 1 exhibits severe morphological instability (warping) and lower texture resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Pride & Resilience)\", \"reason_1\": \"It is impossible to read any expression from the distorted, featureless face in Video 1.\", \"reason_2\": \"The subject's gaze and posture in Video 2 effectively convey the requested pride and resilience.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is destroyed by the grotesque facial artifacting.\", \"reason_2\": \"The image is aesthetically pleasing, well-lit, and looks like professional footage.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable, but the subject feels slightly less grounded in the environment compared to Video 2.\", \"reason_2\": \"The framing places the subject well against the horizon, emphasizing the 'standing tall' aspect.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 succeeds in conveying the mood of 'pride and resilience' through a clear expression. Video 1 fails aesthetically due to the horror-like distortion of the subject.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior anatomical integrity and photorealistic rendering. It successfully depicts a human face with the requested expression of pride and detailed jewelry. Video 1, while capturing the general color palette and setting, suffers from a catastrophic failure in generating the subject's face, resulting in a distorted, melted visage that completely undermines the realism and emotional intent of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Anatomical Logic (Face & Head)", "reason_1": "Video 1 suffers from a severe hallucination where the subject's face is melted and distorted, completely failing to render a human visage.", "reason_2": "Video 2 renders a perfectly structured, realistic human face with clear features.", "score_1": 0, "score_2": 10}, {"name": "Attribute Fidelity (Jewelry & Shuka)", "reason_1": "While the colors are present, the jewelry in Video 1 is blurry and lacks the 'intricate details' requested by the prompt.", "reason_2": "The beaded jewelry in Video 2 is sharp, distinct, and intricate, matching the prompt's request for detail.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Savannah & Sky)", "reason_1": "Video 1 depicts the environment, but the background trees and grass appear slightly more artificial and less integrated with the lighting.", "reason_2": "Video 2 depicts a realistic, vast savannah with natural lighting and depth.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders the human subject with the requested attributes. Video 1 fails the most critical semantic requirement: rendering a recognizable human face.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The subject's face in Video 1 morphs and melts significantly as the video progresses, breaking all immersion.", "reason_2": "The subject in Video 2 remains solid and consistent throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video has a 'smoothed over' AI look, lacking high-frequency texture details on the skin and clothing.", "reason_2": "Skin texture, fabric weave, and bead surfaces are rendered with high definition and realism.", "score_1": 2, "score_2": 8}, {"name": "Motion Naturalness", "reason_1": "The motion is fluid but results in warping artifacts, making the movement feel unnatural and dream-like in a negative way.", "reason_2": "The motion is minimal (mostly breathing and subtle head movement), but it is physically plausible and realistic.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains high visual fidelity and stability. Video 1 exhibits severe morphological instability (warping) and lower texture resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Pride & Resilience)", "reason_1": "It is impossible to read any expression from the distorted, featureless face in Video 1.", "reason_2": "The subject's gaze and posture in Video 2 effectively convey the requested pride and resilience.", "score_1": 1, "score_2": 9}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is destroyed by the grotesque facial artifacting.", "reason_2": "The image is aesthetically pleasing, well-lit, and looks like professional footage.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable, but the subject feels slightly less grounded in the environment compared to Video 2.", "reason_2": "The framing places the subject well against the horizon, emphasizing the 'standing tall' aspect.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 succeeds in conveying the mood of 'pride and resilience' through a clear expression. Video 1 fails aesthetically due to the horror-like distortion of the subject.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior anatomical integrity and photorealistic rendering. It successfully depicts a human face with the requested expression of pride and detailed jewelry. Video 1, while capturing the general color palette and setting, suffers from a catastrophic failure in generating the subject's face, resulting in a distorted, melted visage that completely undermines the realism and emotional intent of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 69.589} +{"pair_id": "037_seed_42", "sample_index": 37, "seed": 42, "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Environmental Completeness\", \"reason_1\": \"Video 1 clearly depicts the samurai, the raked gravel, and the bonsai trees in a cohesive courtyard setting.\", \"reason_2\": \"Video 2 includes the elements, but the background details (trees and gravel) are less distinct and blend poorly with the subjects.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Attribute Fidelity (Armor & Weapons)\", \"reason_1\": \"The armor in Video 1 is highly detailed, showing the 'layered plates' and 'gleaming' texture requested. The katanas are held with precision.\", \"reason_2\": \"The armor in Video 2 lacks texture definition, appearing flat and plastic. The weapons are distorted and do not resemble precise katanas.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement & Focus\", \"reason_1\": \"Video 1 executes a smooth, cinematic pan that allows the viewer to appreciate the details of the armor as requested.\", \"reason_2\": \"Video 2 attempts a pan, but the motion feels slightly mechanical and fails to effectively highlight the details due to low fidelity.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately renders the 'elaborate armor' and 'intricate details' requested, whereas Video 2's subjects lack definition and the weapons appear distorted.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video is sharp, with high-resolution textures on the fabric, metal, and gravel.\", \"reason_2\": \"The image is blurry and low-resolution, lacking any fine detail or realistic texture.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Faces & Objects)\", \"reason_1\": \"Subjects maintain their form well; faces are consistent and human-like.\", \"reason_2\": \"Faces are severely distorted and 'melted,' and the armor shapes fluctuate unnaturally.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Physical Plausibility\", \"reason_1\": \"Lighting is realistic, creating natural shadows and highlights on the armor.\", \"reason_2\": \"Lighting is flat and artificial, contributing to a 'video game' look rather than realism.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 fails significantly in this category due to severe artifacts, blurring, and facial distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Serenity & Solemnity)\", \"reason_1\": \"The lighting and color grading successfully evoke a serene and solemn mood.\", \"reason_2\": \"The visual artifacts and distortion break any sense of immersion or mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Uses depth of field effectively to separate the subjects from the background, enhancing the cinematic feel.\", \"reason_2\": \"The image is flat with poor separation between foreground and background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Aesthetically pleasing and professional-looking generation.\", \"reason_2\": \"Visually unappealing due to low quality and distortion.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the 'solemnity' and 'serenity' of the prompt through excellent lighting and composition. Video 2 lacks aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every aspect, offering a photorealistic, high-definition interpretation of the prompt with stable subject consistency and intricate armor details. Video 2 suffers from significant low-resolution artifacts, facial distortion, and a lack of textural detail, failing to capture the requested realism and solemnity.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Environmental Completeness", "reason_1": "Video 1 clearly depicts the samurai, the raked gravel, and the bonsai trees in a cohesive courtyard setting.", "reason_2": "Video 2 includes the elements, but the background details (trees and gravel) are less distinct and blend poorly with the subjects.", "score_1": 6, "score_2": 4}, {"name": "Attribute Fidelity (Armor & Weapons)", "reason_1": "The armor in Video 1 is highly detailed, showing the 'layered plates' and 'gleaming' texture requested. The katanas are held with precision.", "reason_2": "The armor in Video 2 lacks texture definition, appearing flat and plastic. The weapons are distorted and do not resemble precise katanas.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement & Focus", "reason_1": "Video 1 executes a smooth, cinematic pan that allows the viewer to appreciate the details of the armor as requested.", "reason_2": "Video 2 attempts a pan, but the motion feels slightly mechanical and fails to effectively highlight the details due to low fidelity.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately renders the 'elaborate armor' and 'intricate details' requested, whereas Video 2's subjects lack definition and the weapons appear distorted.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video is sharp, with high-resolution textures on the fabric, metal, and gravel.", "reason_2": "The image is blurry and low-resolution, lacking any fine detail or realistic texture.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Faces & Objects)", "reason_1": "Subjects maintain their form well; faces are consistent and human-like.", "reason_2": "Faces are severely distorted and 'melted,' and the armor shapes fluctuate unnaturally.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Physical Plausibility", "reason_1": "Lighting is realistic, creating natural shadows and highlights on the armor.", "reason_2": "Lighting is flat and artificial, contributing to a 'video game' look rather than realism.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 fails significantly in this category due to severe artifacts, blurring, and facial distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Serenity & Solemnity)", "reason_1": "The lighting and color grading successfully evoke a serene and solemn mood.", "reason_2": "The visual artifacts and distortion break any sense of immersion or mood.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Depth", "reason_1": "Uses depth of field effectively to separate the subjects from the background, enhancing the cinematic feel.", "reason_2": "The image is flat with poor separation between foreground and background.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Aesthetically pleasing and professional-looking generation.", "reason_2": "Visually unappealing due to low quality and distortion.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the 'solemnity' and 'serenity' of the prompt through excellent lighting and composition. Video 2 lacks aesthetic appeal due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every aspect, offering a photorealistic, high-definition interpretation of the prompt with stable subject consistency and intricate armor details. Video 2 suffers from significant low-resolution artifacts, facial distortion, and a lack of textural detail, failing to capture the requested realism and solemnity.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 53.582} +{"pair_id": "037_seed_310", "sample_index": 37, "seed": 310, "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_310_In a serene traditional Japanese courtyard a group.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_310_In a serene traditional Japanese courtyard a group.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_310_In a serene traditional Japanese courtyard a group.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_310_In a serene traditional Japanese courtyard a group.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Environmental Completeness\", \"reason_1\": \"Video 1 clearly depicts the samurai formation, the courtyard, and the bonsai trees as requested.\", \"reason_2\": \"Video 2 also successfully includes all key semantic elements: the group, the armor, and the specific background details like the gravel and trees.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Camera Movement & Focus Execution\", \"reason_1\": \"Video 1 executes the requested slow pan and zoom effectively, shifting focus from the group to the individual faces.\", \"reason_2\": \"Video 2 follows the camera instructions perfectly, panning across the line and ending with a close-up on a specific warrior's face.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Armor & Weapons)\", \"reason_1\": \"Video 1 renders the armor with high detail, but the katanas appear somewhat thick and lack the sharp, precise definition requested.\", \"reason_2\": \"Video 2 renders the armor with exceptional texture and the katanas with a distinct, sharp curvature that better fits the description of 'precision'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos adhere well to the prompt's structural requirements, but Video 2 edges ahead slightly in the fidelity of the specific attributes, particularly the sharpness of the katanas and the definition of the armor plates.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"The faces in Video 1, particularly in the close-up, suffer from 'AI smoothness' and slight distortion, lacking distinct human features.\", \"reason_2\": \"Video 2 generates a highly realistic face with distinct features (mustache, eyes) that maintains structural integrity even during the camera move.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Texture Fidelity & Material Realism\", \"reason_1\": \"The textures in Video 1 are good but have a slightly plastic or game-engine aesthetic.\", \"reason_2\": \"Video 2 displays superior material rendering; the metal of the armor and the fabric of the undergarments look tangible and photorealistic.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Coherence & Stability\", \"reason_1\": \"The motion is smooth and stable with no significant artifacts.\", \"reason_2\": \"The motion is equally smooth, with the camera movement feeling grounded and realistic.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"This is the deciding category. Video 2 demonstrates significantly better facial anatomy and texture rendering. Video 1's faces appear somewhat artificial and smoothed, whereas Video 2's subject looks like a real human actor.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"The lighting is adequate but somewhat flat, reducing the dramatic impact of the scene.\", \"reason_2\": \"Video 2 utilizes contrast and shadow more effectively, creating a 'gleaming' effect on the armor that enhances the solemn mood.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Emotional Expression & Impact\", \"reason_1\": \"The expression is neutral but lacks the depth of 'unwavering focus' due to the lower fidelity of the face.\", \"reason_2\": \"The close-up in Video 2 captures a convincing expression of seriousness and duty, fulfilling the narrative requirement of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Visual Appeal\", \"reason_1\": \"The composition is standard and functional but lacks a strong focal point until the very end.\", \"reason_2\": \"The framing in Video 2 is more dynamic, using the diagonal line of the formation to lead the eye effectively to the main subject.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 creates a more compelling cinematic experience through better lighting contrast and a more emotive final shot, which aligns better with the prompt's request for 'solemnity' and 'heritage'.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the superior generation primarily due to its higher photorealism and anatomical accuracy. While both videos follow the prompt's semantic instructions well, Video 2 renders the samurai's faces with much greater fidelity, avoiding the slight uncanny valley effect seen in Video 1. Additionally, Video 2 features more dynamic lighting and sharper texture details on the armor, creating a more cinematic and emotionally resonant final shot.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Environmental Completeness", "reason_1": "Video 1 clearly depicts the samurai formation, the courtyard, and the bonsai trees as requested.", "reason_2": "Video 2 also successfully includes all key semantic elements: the group, the armor, and the specific background details like the gravel and trees.", "score_1": 5, "score_2": 5}, {"name": "Camera Movement & Focus Execution", "reason_1": "Video 1 executes the requested slow pan and zoom effectively, shifting focus from the group to the individual faces.", "reason_2": "Video 2 follows the camera instructions perfectly, panning across the line and ending with a close-up on a specific warrior's face.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Armor & Weapons)", "reason_1": "Video 1 renders the armor with high detail, but the katanas appear somewhat thick and lack the sharp, precise definition requested.", "reason_2": "Video 2 renders the armor with exceptional texture and the katanas with a distinct, sharp curvature that better fits the description of 'precision'.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos adhere well to the prompt's structural requirements, but Video 2 edges ahead slightly in the fidelity of the specific attributes, particularly the sharpness of the katanas and the definition of the armor plates.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "The faces in Video 1, particularly in the close-up, suffer from 'AI smoothness' and slight distortion, lacking distinct human features.", "reason_2": "Video 2 generates a highly realistic face with distinct features (mustache, eyes) that maintains structural integrity even during the camera move.", "score_1": 3, "score_2": 7}, {"name": "Texture Fidelity & Material Realism", "reason_1": "The textures in Video 1 are good but have a slightly plastic or game-engine aesthetic.", "reason_2": "Video 2 displays superior material rendering; the metal of the armor and the fabric of the undergarments look tangible and photorealistic.", "score_1": 4, "score_2": 6}, {"name": "Motion Coherence & Stability", "reason_1": "The motion is smooth and stable with no significant artifacts.", "reason_2": "The motion is equally smooth, with the camera movement feeling grounded and realistic.", "score_1": 5, "score_2": 5}], "cat_reason": "This is the deciding category. Video 2 demonstrates significantly better facial anatomy and texture rendering. Video 1's faces appear somewhat artificial and smoothed, whereas Video 2's subject looks like a real human actor.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "The lighting is adequate but somewhat flat, reducing the dramatic impact of the scene.", "reason_2": "Video 2 utilizes contrast and shadow more effectively, creating a 'gleaming' effect on the armor that enhances the solemn mood.", "score_1": 4, "score_2": 6}, {"name": "Emotional Expression & Impact", "reason_1": "The expression is neutral but lacks the depth of 'unwavering focus' due to the lower fidelity of the face.", "reason_2": "The close-up in Video 2 captures a convincing expression of seriousness and duty, fulfilling the narrative requirement of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Composition & Visual Appeal", "reason_1": "The composition is standard and functional but lacks a strong focal point until the very end.", "reason_2": "The framing in Video 2 is more dynamic, using the diagonal line of the formation to lead the eye effectively to the main subject.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 creates a more compelling cinematic experience through better lighting contrast and a more emotive final shot, which aligns better with the prompt's request for 'solemnity' and 'heritage'.", "cat_winner": "Video 2"}], "reason": "Video 2 is the superior generation primarily due to its higher photorealism and anatomical accuracy. While both videos follow the prompt's semantic instructions well, Video 2 renders the samurai's faces with much greater fidelity, avoiding the slight uncanny valley effect seen in Video 1. Additionally, Video 2 features more dynamic lighting and sharper texture details on the armor, creating a more cinematic and emotionally resonant final shot.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 37.0, "total_score_2": 53.0, "elapsed_sec": 63.308} +{"pair_id": "037_seed_930", "sample_index": 37, "seed": 930, "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Formation & Posture\", \"reason_1\": \"Video 1 depicts the samurai standing in a disciplined, static formation as requested.\", \"reason_2\": \"Video 2 shows the subjects walking forward in a disorganized manner, violating the 'stands in formation' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Courtyard & Bonsai)\", \"reason_1\": \"Video 1 clearly renders the gravel, trees, and traditional architecture, creating the requested serene backdrop.\", \"reason_2\": \"Video 2's background is blurry and indistinct, lacking the specific details like raked gravel or bonsai trees.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Precision (Katanas)\", \"reason_1\": \"The katanas in Video 1 are held with precision and have a defined shape.\", \"reason_2\": \"The weapons in Video 2 are distorted, appearing to merge with the subjects' bodies or hands.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'standing in formation' requirement and the specific environmental details. Video 2 fails the formation constraint by having subjects walk and lacks the clarity to show the requested details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"The faces in Video 1 are coherent, human, and maintain their structure throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe facial hallucinations; the faces are melted, distorted, and lack human features.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Armor Texture & Material Realism\", \"reason_1\": \"Video 1 renders the 'layered plates' and 'gleaming' texture of the armor convincingly.\", \"reason_2\": \"The armor in Video 2 looks like smooth, low-resolution plastic with no discernible texture or material logic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 is stable with minimal flickering or morphing of objects.\", \"reason_2\": \"Video 2 exhibits significant jitter and morphing, particularly in the subjects' limbs and weapons.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and anatomical correctness. Video 2 is plagued by severe artifacts, particularly the 'melting' faces and unstable geometry.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Solemnity)\", \"reason_1\": \"The lighting and static poses in Video 1 successfully evoke the requested 'solemnity' and 'discipline'.\", \"reason_2\": \"The chaotic movement and distorted visuals in Video 2 create an uncanny and unsettling mood rather than a solemn one.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion (Slow Pan)\", \"reason_1\": \"Video 1 executes a slow, controlled pan that allows the viewer to appreciate the details.\", \"reason_2\": \"Video 2 uses a shaky, handheld-style motion that feels accidental rather than cinematic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Composition\", \"reason_1\": \"The framing in Video 1 is balanced, showcasing the group and the environment effectively.\", \"reason_2\": \"Video 2 has awkward framing where subjects drift in and out of focus or are cut off by the frame edges.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the solemn, cinematic mood requested by the prompt. Video 2 feels chaotic and lacks the intended aesthetic focus.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in almost every metric. It strictly adheres to the prompt's instruction for a static formation, delivers high-fidelity textures for the armor, and maintains anatomical integrity for the faces. Video 2 suffers from severe hallucinations (distorted faces), incorrect motion (walking instead of standing), and lower visual resolution.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Formation & Posture", "reason_1": "Video 1 depicts the samurai standing in a disciplined, static formation as requested.", "reason_2": "Video 2 shows the subjects walking forward in a disorganized manner, violating the 'stands in formation' instruction.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Courtyard & Bonsai)", "reason_1": "Video 1 clearly renders the gravel, trees, and traditional architecture, creating the requested serene backdrop.", "reason_2": "Video 2's background is blurry and indistinct, lacking the specific details like raked gravel or bonsai trees.", "score_1": 8, "score_2": 2}, {"name": "Object Precision (Katanas)", "reason_1": "The katanas in Video 1 are held with precision and have a defined shape.", "reason_2": "The weapons in Video 2 are distorted, appearing to merge with the subjects' bodies or hands.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'standing in formation' requirement and the specific environmental details. Video 2 fails the formation constraint by having subjects walk and lacks the clarity to show the requested details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "The faces in Video 1 are coherent, human, and maintain their structure throughout the clip.", "reason_2": "Video 2 suffers from severe facial hallucinations; the faces are melted, distorted, and lack human features.", "score_1": 9, "score_2": 1}, {"name": "Armor Texture & Material Realism", "reason_1": "Video 1 renders the 'layered plates' and 'gleaming' texture of the armor convincingly.", "reason_2": "The armor in Video 2 looks like smooth, low-resolution plastic with no discernible texture or material logic.", "score_1": 8, "score_2": 2}, {"name": "Temporal Stability", "reason_1": "Video 1 is stable with minimal flickering or morphing of objects.", "reason_2": "Video 2 exhibits significant jitter and morphing, particularly in the subjects' limbs and weapons.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and anatomical correctness. Video 2 is plagued by severe artifacts, particularly the 'melting' faces and unstable geometry.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Solemnity)", "reason_1": "The lighting and static poses in Video 1 successfully evoke the requested 'solemnity' and 'discipline'.", "reason_2": "The chaotic movement and distorted visuals in Video 2 create an uncanny and unsettling mood rather than a solemn one.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion (Slow Pan)", "reason_1": "Video 1 executes a slow, controlled pan that allows the viewer to appreciate the details.", "reason_2": "Video 2 uses a shaky, handheld-style motion that feels accidental rather than cinematic.", "score_1": 8, "score_2": 2}, {"name": "Visual Composition", "reason_1": "The framing in Video 1 is balanced, showcasing the group and the environment effectively.", "reason_2": "Video 2 has awkward framing where subjects drift in and out of focus or are cut off by the frame edges.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the solemn, cinematic mood requested by the prompt. Video 2 feels chaotic and lacks the intended aesthetic focus.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in almost every metric. It strictly adheres to the prompt's instruction for a static formation, delivers high-fidelity textures for the armor, and maintains anatomical integrity for the faces. Video 2 suffers from severe hallucinations (distorted faces), incorrect motion (walking instead of standing), and lower visual resolution.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 54.447} +{"pair_id": "038_seed_42", "sample_index": 38, "seed": 42, "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Elder's Features)\", \"reason_1\": \"The elder in Video 1 has distinct, realistic facial features that align with the description of 'wisdom etched in his features'.\", \"reason_2\": \"The elder's face in Video 2 is heavily distorted and lacks defined features, failing to convey the requested wisdom or humanity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Lighting (Firelight Interaction)\", \"reason_1\": \"Video 1 accurately renders the 'warm glow casting flickering shadows' on the faces, creating a realistic interaction between the fire and the subjects.\", \"reason_2\": \"Video 2 has lighting, but the shadows and highlights feel flatter and less reactive to the fire's movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Cultural & Attire Representation\", \"reason_1\": \"The woven blankets and traditional attire are rendered with high texture detail, fitting the 'traditional woven blankets' description well.\", \"reason_2\": \"While the attire is present, the textures are muddier and less distinct compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 captures the specific attributes of the subjects, particularly the elder's 'wisdom etched in features,' much more effectively than Video 2, where the elder's face is distorted.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"The faces remain structurally sound and consistent throughout the clip, maintaining the identity of the subjects.\", \"reason_2\": \"The elder's face suffers from severe 'melting' and warping artifacts, completely breaking the realism of the video.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is crisp, with clear details in the hair, skin, and clothing textures.\", \"reason_2\": \"The overall image is softer and blurrier, lacking the high-definition finish of Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement of the fire and the subtle shifts in the subjects' posture are smooth and natural.\", \"reason_2\": \"The motion feels slightly more jittery, and the warping of the face creates an unnatural sense of movement.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains solid structural integrity, while Video 2 exhibits severe hallucinations and warping of the subjects' faces.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Atmosphere (Serenity & Intimacy)\", \"reason_1\": \"The stable visuals and warm lighting successfully evoke the 'serene backdrop' and 'deep connection' described in the prompt.\", \"reason_2\": \"The facial distortions create an eerie or unsettling vibe, which is the opposite of the requested 'serene' and 'intimate' atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing places the subjects well around the fire, creating a balanced and engaging composition.\", \"reason_2\": \"The composition is acceptable but feels slightly less balanced, with the subjects appearing a bit more cluttered.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Narrative Expression (Listening & Storytelling)\", \"reason_1\": \"The children's expressions clearly convey 'listening intently,' supporting the narrative of the elder sharing stories.\", \"reason_2\": \"Due to the lack of facial detail, the children's expressions are harder to read, weakening the narrative connection.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully establishes the 'serene' and 'intimate' mood requested, whereas the visual artifacts in Video 2 create an unintentional uncanny valley effect.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior morphological stability and visual fidelity. It successfully renders the elder's face with the requested 'wisdom' and maintains consistent anatomical structure throughout the clip. In contrast, Video 2 suffers from severe facial distortion and warping artifacts, particularly on the elder, which destroys the realism and emotional tone of the scene.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Elder's Features)", "reason_1": "The elder in Video 1 has distinct, realistic facial features that align with the description of 'wisdom etched in his features'.", "reason_2": "The elder's face in Video 2 is heavily distorted and lacks defined features, failing to convey the requested wisdom or humanity.", "score_1": 8, "score_2": 2}, {"name": "Environmental Lighting (Firelight Interaction)", "reason_1": "Video 1 accurately renders the 'warm glow casting flickering shadows' on the faces, creating a realistic interaction between the fire and the subjects.", "reason_2": "Video 2 has lighting, but the shadows and highlights feel flatter and less reactive to the fire's movement.", "score_1": 7, "score_2": 3}, {"name": "Cultural & Attire Representation", "reason_1": "The woven blankets and traditional attire are rendered with high texture detail, fitting the 'traditional woven blankets' description well.", "reason_2": "While the attire is present, the textures are muddier and less distinct compared to Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 captures the specific attributes of the subjects, particularly the elder's 'wisdom etched in features,' much more effectively than Video 2, where the elder's face is distorted.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "The faces remain structurally sound and consistent throughout the clip, maintaining the identity of the subjects.", "reason_2": "The elder's face suffers from severe 'melting' and warping artifacts, completely breaking the realism of the video.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is crisp, with clear details in the hair, skin, and clothing textures.", "reason_2": "The overall image is softer and blurrier, lacking the high-definition finish of Video 1.", "score_1": 7, "score_2": 3}, {"name": "Motion Coherence", "reason_1": "The movement of the fire and the subtle shifts in the subjects' posture are smooth and natural.", "reason_2": "The motion feels slightly more jittery, and the warping of the face creates an unnatural sense of movement.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains solid structural integrity, while Video 2 exhibits severe hallucinations and warping of the subjects' faces.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Atmosphere (Serenity & Intimacy)", "reason_1": "The stable visuals and warm lighting successfully evoke the 'serene backdrop' and 'deep connection' described in the prompt.", "reason_2": "The facial distortions create an eerie or unsettling vibe, which is the opposite of the requested 'serene' and 'intimate' atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Framing", "reason_1": "The framing places the subjects well around the fire, creating a balanced and engaging composition.", "reason_2": "The composition is acceptable but feels slightly less balanced, with the subjects appearing a bit more cluttered.", "score_1": 6, "score_2": 4}, {"name": "Narrative Expression (Listening & Storytelling)", "reason_1": "The children's expressions clearly convey 'listening intently,' supporting the narrative of the elder sharing stories.", "reason_2": "Due to the lack of facial detail, the children's expressions are harder to read, weakening the narrative connection.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully establishes the 'serene' and 'intimate' mood requested, whereas the visual artifacts in Video 2 create an unintentional uncanny valley effect.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior morphological stability and visual fidelity. It successfully renders the elder's face with the requested 'wisdom' and maintains consistent anatomical structure throughout the clip. In contrast, Video 2 suffers from severe facial distortion and warping artifacts, particularly on the elder, which destroys the realism and emotional tone of the scene.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 57.043} +{"pair_id": "038_seed_310", "sample_index": 38, "seed": 310, "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_310_An Indigenous Australian family gathers under a st.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_310_An Indigenous Australian family gathers under a st.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_310_An Indigenous Australian family gathers under a st.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_310_An Indigenous Australian family gathers under a st.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Cultural Specificity\", \"reason_1\": \"Video 1 depicts a family that appears ethnically ambiguous, resembling a mix of South Asian and Latin American features, failing the specific 'Indigenous Australian' constraint.\", \"reason_2\": \"Video 2 accurately depicts subjects with distinct Indigenous Australian features and styling, aligning perfectly with the prompt's core subject requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Fulfillment (Storytelling & Nodding)\", \"reason_1\": \"The subjects in Video 1 are completely static; there is no storytelling, nodding, or interaction, failing the prompt's narrative action requirements.\", \"reason_2\": \"Video 2 shows the elder gesturing and the younger adult nodding and smiling, effectively capturing the 'sharing stories' and 'nodding in appreciation' actions.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Bushland & Fire)\", \"reason_1\": \"Video 1 features a generic dark background that lacks the specific 'bushland' texture requested.\", \"reason_2\": \"Video 2 includes visible trees and vegetation in the background, better establishing the 'surrounding bushland' context.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly identifies and renders the specific ethnic demographics requested, whereas Video 1 generates a generic or ethnically ambiguous group. Video 2 also attempts the specific actions described in the prompt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Magnitude & Fluidity\", \"reason_1\": \"Video 1 is functionally a still image with a fire overlay; the human subjects are frozen, lacking any dynamic realism.\", \"reason_2\": \"Video 2 features full-body motion, head turns, and facial expressions, providing a realistic video experience.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"Video 1 is perfectly stable, but only because it does not move. It avoids artifacts by avoiding motion.\", \"reason_2\": \"Video 2 suffers from noticeable morphing and distortion, particularly on the faces of the children and the elder, which fluctuate during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Shadow Dynamics\", \"reason_1\": \"The lighting in Video 1 is static and does not interact dynamically with the subjects' faces.\", \"reason_2\": \"Video 2 successfully renders the 'flickering shadows' and 'firelight dances' on the subjects' faces as they move.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Although Video 2 has some stability issues, it is a true video with character motion. Video 1 fails this category by being a static image with a simple fire loop, lacking dynamic realism entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression & Connection\", \"reason_1\": \"The subjects in Video 1 have blank, frozen stares that convey no emotion or connection.\", \"reason_2\": \"Video 2 captures the 'eyes wide with wonder' and the warmth of the gathering through active facial expressions and engagement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Intimacy & Warmth)\", \"reason_1\": \"The static nature of Video 1 makes the scene feel staged and artificial rather than intimate.\", \"reason_2\": \"The movement and interaction in Video 2 create a genuine sense of a living, breathing family gathering.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"Video 1 has a clean, balanced composition with good color contrast.\", \"reason_2\": \"Video 2 has a decent composition, though slightly cluttered by the motion artifacts, but effectively frames the circle.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 conveys the emotional warmth and connection described in the prompt through active expressions and interaction, whereas Video 1 feels cold and lifeless due to its static nature.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully generates a dynamic video with actual character movement, storytelling gestures, and emotional expressions that align with the prompt. Video 1, while visually clean, is essentially a static image with a fire overlay (cinemagraph) and fails to depict the requested actions or the specific Indigenous Australian ethnicity, appearing more generic.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Cultural Specificity", "reason_1": "Video 1 depicts a family that appears ethnically ambiguous, resembling a mix of South Asian and Latin American features, failing the specific 'Indigenous Australian' constraint.", "reason_2": "Video 2 accurately depicts subjects with distinct Indigenous Australian features and styling, aligning perfectly with the prompt's core subject requirement.", "score_1": 2, "score_2": 8}, {"name": "Action Fulfillment (Storytelling & Nodding)", "reason_1": "The subjects in Video 1 are completely static; there is no storytelling, nodding, or interaction, failing the prompt's narrative action requirements.", "reason_2": "Video 2 shows the elder gesturing and the younger adult nodding and smiling, effectively capturing the 'sharing stories' and 'nodding in appreciation' actions.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Bushland & Fire)", "reason_1": "Video 1 features a generic dark background that lacks the specific 'bushland' texture requested.", "reason_2": "Video 2 includes visible trees and vegetation in the background, better establishing the 'surrounding bushland' context.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly identifies and renders the specific ethnic demographics requested, whereas Video 1 generates a generic or ethnically ambiguous group. Video 2 also attempts the specific actions described in the prompt.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Magnitude & Fluidity", "reason_1": "Video 1 is functionally a still image with a fire overlay; the human subjects are frozen, lacking any dynamic realism.", "reason_2": "Video 2 features full-body motion, head turns, and facial expressions, providing a realistic video experience.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Face & Body)", "reason_1": "Video 1 is perfectly stable, but only because it does not move. It avoids artifacts by avoiding motion.", "reason_2": "Video 2 suffers from noticeable morphing and distortion, particularly on the faces of the children and the elder, which fluctuate during movement.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Shadow Dynamics", "reason_1": "The lighting in Video 1 is static and does not interact dynamically with the subjects' faces.", "reason_2": "Video 2 successfully renders the 'flickering shadows' and 'firelight dances' on the subjects' faces as they move.", "score_1": 3, "score_2": 7}], "cat_reason": "Although Video 2 has some stability issues, it is a true video with character motion. Video 1 fails this category by being a static image with a simple fire loop, lacking dynamic realism entirely.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression & Connection", "reason_1": "The subjects in Video 1 have blank, frozen stares that convey no emotion or connection.", "reason_2": "Video 2 captures the 'eyes wide with wonder' and the warmth of the gathering through active facial expressions and engagement.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Intimacy & Warmth)", "reason_1": "The static nature of Video 1 makes the scene feel staged and artificial rather than intimate.", "reason_2": "The movement and interaction in Video 2 create a genuine sense of a living, breathing family gathering.", "score_1": 3, "score_2": 7}, {"name": "Visual Composition & Framing", "reason_1": "Video 1 has a clean, balanced composition with good color contrast.", "reason_2": "Video 2 has a decent composition, though slightly cluttered by the motion artifacts, but effectively frames the circle.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 conveys the emotional warmth and connection described in the prompt through active expressions and interaction, whereas Video 1 feels cold and lifeless due to its static nature.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully generates a dynamic video with actual character movement, storytelling gestures, and emotional expressions that align with the prompt. Video 1, while visually clean, is essentially a static image with a fire overlay (cinemagraph) and fails to depict the requested actions or the specific Indigenous Australian ethnicity, appearing more generic.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 60.675} +{"pair_id": "038_seed_930", "sample_index": 38, "seed": 930, "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Cultural Specificity\", \"reason_1\": \"Video 1 depicts a group that appears more generic or potentially South Asian/Hispanic in phenotype, missing the specific 'Indigenous Australian' descriptor.\", \"reason_2\": \"Video 2 accurately depicts the requested Indigenous Australian phenotype and includes specific cultural details like traditional necklaces and woven patterns.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Fulfillment (Storytelling & Nodding)\", \"reason_1\": \"Video 1 is essentially a static image; the elder does not speak, and the adults do not nod, failing the action prompt entirely.\", \"reason_2\": \"Video 2 clearly depicts the elder speaking and gesturing, and the surrounding family members nodding and reacting, fulfilling the narrative action requirements.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Bushland & Fire)\", \"reason_1\": \"Video 1 renders a convincing campfire and bushland background with appropriate lighting.\", \"reason_2\": \"Video 2 also successfully renders the campfire and bushland setting, with the fire acting as a central light source.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 correctly identifies the specific demographic and cultural markers requested and attempts the complex actions described. Video 1 fails to depict the specific ethnicity accurately and ignores the action verbs in the prompt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"Video 1 maintains perfect structural integrity of faces and bodies throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'melting' and warping of faces, particularly the elder's and the woman on the right, which breaks realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 features high-resolution textures on the blankets and skin, with a clean, noise-free image.\", \"reason_2\": \"Video 2 appears softer, with noticeable generation noise and a lack of fine texture detail compared to Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence vs. Artifacts\", \"reason_1\": \"Video 1 has minimal motion (mostly fire), but what is there is coherent and artifact-free.\", \"reason_2\": \"Video 2 attempts complex motion but introduces distracting artifacts, such as the background trees warping and the fire looking unnatural.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is technically superior in terms of image stability and clarity. Video 2 suffers from severe morphological instability, with faces warping and melting significantly during movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Storytelling Event)\", \"reason_1\": \"Video 1 lacks narrative progression; it is a frozen moment in time rather than a story unfolding.\", \"reason_2\": \"Video 2 conveys a clear sequence of events: the elder speaks, the group listens, and the atmosphere shifts, creating a true narrative flow.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Atmosphere (Intimacy & Kinship)\", \"reason_1\": \"The static nature of Video 1 makes the scene feel posed and distant, lacking the warmth of a shared family moment.\", \"reason_2\": \"Despite the artifacts, the interaction between the characters in Video 2 successfully evokes the feeling of kinship and shared history described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Dynamics (Firelight Interaction)\", \"reason_1\": \"The lighting in Video 1 is static and does not interact dynamically with the subjects' faces.\", \"reason_2\": \"Video 2 attempts to show the firelight 'dancing' across faces as requested, adding to the dynamic realism of the scene.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the emotional essence and narrative flow of the prompt, creating a scene of connection and storytelling. Video 1 feels like a posed stock photo with no narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner in terms of semantic alignment and narrative execution. It successfully depicts the specific cultural demographics requested (Indigenous Australian features and attire) and, crucially, animates the complex interactions described in the prompt (the elder speaking, the family nodding). Video 1, while having superior image stability and resolution, fails to adhere to the specific cultural markers (appearing more generic) and is functionally a static image with no narrative motion, ignoring the prompt's instructions for storytelling and interaction.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Cultural Specificity", "reason_1": "Video 1 depicts a group that appears more generic or potentially South Asian/Hispanic in phenotype, missing the specific 'Indigenous Australian' descriptor.", "reason_2": "Video 2 accurately depicts the requested Indigenous Australian phenotype and includes specific cultural details like traditional necklaces and woven patterns.", "score_1": 3, "score_2": 7}, {"name": "Action Fulfillment (Storytelling & Nodding)", "reason_1": "Video 1 is essentially a static image; the elder does not speak, and the adults do not nod, failing the action prompt entirely.", "reason_2": "Video 2 clearly depicts the elder speaking and gesturing, and the surrounding family members nodding and reacting, fulfilling the narrative action requirements.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Bushland & Fire)", "reason_1": "Video 1 renders a convincing campfire and bushland background with appropriate lighting.", "reason_2": "Video 2 also successfully renders the campfire and bushland setting, with the fire acting as a central light source.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 correctly identifies the specific demographic and cultural markers requested and attempts the complex actions described. Video 1 fails to depict the specific ethnicity accurately and ignores the action verbs in the prompt.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Body)", "reason_1": "Video 1 maintains perfect structural integrity of faces and bodies throughout the clip.", "reason_2": "Video 2 suffers from severe 'melting' and warping of faces, particularly the elder's and the woman on the right, which breaks realism.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 features high-resolution textures on the blankets and skin, with a clean, noise-free image.", "reason_2": "Video 2 appears softer, with noticeable generation noise and a lack of fine texture detail compared to Video 1.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence vs. Artifacts", "reason_1": "Video 1 has minimal motion (mostly fire), but what is there is coherent and artifact-free.", "reason_2": "Video 2 attempts complex motion but introduces distracting artifacts, such as the background trees warping and the fire looking unnatural.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is technically superior in terms of image stability and clarity. Video 2 suffers from severe morphological instability, with faces warping and melting significantly during movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Storytelling Event)", "reason_1": "Video 1 lacks narrative progression; it is a frozen moment in time rather than a story unfolding.", "reason_2": "Video 2 conveys a clear sequence of events: the elder speaks, the group listens, and the atmosphere shifts, creating a true narrative flow.", "score_1": 2, "score_2": 8}, {"name": "Emotional Atmosphere (Intimacy & Kinship)", "reason_1": "The static nature of Video 1 makes the scene feel posed and distant, lacking the warmth of a shared family moment.", "reason_2": "Despite the artifacts, the interaction between the characters in Video 2 successfully evokes the feeling of kinship and shared history described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Lighting Dynamics (Firelight Interaction)", "reason_1": "The lighting in Video 1 is static and does not interact dynamically with the subjects' faces.", "reason_2": "Video 2 attempts to show the firelight 'dancing' across faces as requested, adding to the dynamic realism of the scene.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the emotional essence and narrative flow of the prompt, creating a scene of connection and storytelling. Video 1 feels like a posed stock photo with no narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner in terms of semantic alignment and narrative execution. It successfully depicts the specific cultural demographics requested (Indigenous Australian features and attire) and, crucially, animates the complex interactions described in the prompt (the elder speaking, the family nodding). Video 1, while having superior image stability and resolution, fails to adhere to the specific cultural markers (appearing more generic) and is functionally a static image with no narrative motion, ignoring the prompt's instructions for storytelling and interaction.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 43.0, "total_score_2": 47.0, "elapsed_sec": 60.614} +{"pair_id": "039_seed_42", "sample_index": 39, "seed": 42, "prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Cultural & Environmental Specificity\", \"reason_1\": \"Video 1 perfectly renders the 'handwoven textiles' and 'rustic' atmosphere with authentic patterns and textures that feel grounded in the requested Latin American context.\", \"reason_2\": \"Video 2 presents a generic, highly saturated environment where the textiles look like digital noise rather than woven fabric, lacking cultural grounding.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Interaction & Narrative Logic\", \"reason_1\": \"The family in Video 1 engages in natural, animated conversation and laughter, aligning well with the prompt's request for 'lively chatter'.\", \"reason_2\": \"While the subjects are moving, the interactions in Video 2 are marred by glitchy motion and lack the coherent narrative flow of a family sharing a story.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Definition (Food & Textiles)\", \"reason_1\": \"The food items (pot, breads, greens) and table settings are distinct and recognizable, even if the specific 'tamales' are interpreted loosely.\", \"reason_2\": \"The food items in Video 2 are amorphous blobs that merge with the table and hands, failing to represent the specific dishes requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific cultural markers requested, such as the handwoven textiles and the rustic table setting, while maintaining a logical family interaction. Video 2 attempts the elements but fails to render them with recognizable fidelity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The subjects' faces remain consistent, solid, and human throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting face' artifacts; features slide off faces, and expressions distort into grotesque shapes.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Anatomical Integrity (Hands & Limbs)\", \"reason_1\": \"Hands and arms are rendered with correct proportions and joint structure.\", \"reason_2\": \"Video 2 displays 'spaghetti hands' and limbs that merge into the table or other objects, breaking physical plausibility.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Coherence & Smoothness\", \"reason_1\": \"The video plays smoothly with consistent lighting and no flickering.\", \"reason_2\": \"The video suffers from significant jitter, texture flickering, and background instability.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This is the deciding category. Video 1 maintains high stability and realism. Video 2 fails catastrophically with severe morphing, melting faces, and anatomical errors.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Warmth & Coziness)\", \"reason_1\": \"The lighting is warm and natural, successfully evoking the 'cozy, familial atmosphere' requested.\", \"reason_2\": \"The high contrast and oversaturation create a harsh, artificial look that feels unsettling rather than inviting.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"The framing captures the group dynamic well, allowing the viewer to see the interactions and the table spread clearly.\", \"reason_2\": \"The composition is cluttered, and the camera movement feels random and disorienting.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Aesthetic Appeal\", \"reason_1\": \"The video is visually pleasing and looks like a coherent piece of footage.\", \"reason_2\": \"The video is aesthetically unpleasant due to the heavy AI artifacts and distortion.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully creates the 'warm, inviting' mood requested. Video 2's visual artifacts create an uncanny and disturbing atmosphere that contradicts the prompt's intent.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual stability, realistic rendering of human subjects, and accurate capture of the requested cultural atmosphere. While Video 2 attempts the prompt's elements, it suffers from severe generative artifacts, including melting faces, distorted anatomy, and chaotic motion, which completely undermine the 'warm, inviting' mood required by the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Cultural & Environmental Specificity", "reason_1": "Video 1 perfectly renders the 'handwoven textiles' and 'rustic' atmosphere with authentic patterns and textures that feel grounded in the requested Latin American context.", "reason_2": "Video 2 presents a generic, highly saturated environment where the textiles look like digital noise rather than woven fabric, lacking cultural grounding.", "score_1": 9, "score_2": 1}, {"name": "Subject Interaction & Narrative Logic", "reason_1": "The family in Video 1 engages in natural, animated conversation and laughter, aligning well with the prompt's request for 'lively chatter'.", "reason_2": "While the subjects are moving, the interactions in Video 2 are marred by glitchy motion and lack the coherent narrative flow of a family sharing a story.", "score_1": 8, "score_2": 2}, {"name": "Object Definition (Food & Textiles)", "reason_1": "The food items (pot, breads, greens) and table settings are distinct and recognizable, even if the specific 'tamales' are interpreted loosely.", "reason_2": "The food items in Video 2 are amorphous blobs that merge with the table and hands, failing to represent the specific dishes requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific cultural markers requested, such as the handwoven textiles and the rustic table setting, while maintaining a logical family interaction. Video 2 attempts the elements but fails to render them with recognizable fidelity.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The subjects' faces remain consistent, solid, and human throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting face' artifacts; features slide off faces, and expressions distort into grotesque shapes.", "score_1": 10, "score_2": 0}, {"name": "Anatomical Integrity (Hands & Limbs)", "reason_1": "Hands and arms are rendered with correct proportions and joint structure.", "reason_2": "Video 2 displays 'spaghetti hands' and limbs that merge into the table or other objects, breaking physical plausibility.", "score_1": 9, "score_2": 1}, {"name": "Temporal Coherence & Smoothness", "reason_1": "The video plays smoothly with consistent lighting and no flickering.", "reason_2": "The video suffers from significant jitter, texture flickering, and background instability.", "score_1": 9, "score_2": 1}], "cat_reason": "This is the deciding category. Video 1 maintains high stability and realism. Video 2 fails catastrophically with severe morphing, melting faces, and anatomical errors.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Warmth & Coziness)", "reason_1": "The lighting is warm and natural, successfully evoking the 'cozy, familial atmosphere' requested.", "reason_2": "The high contrast and oversaturation create a harsh, artificial look that feels unsettling rather than inviting.", "score_1": 9, "score_2": 1}, {"name": "Visual Composition & Framing", "reason_1": "The framing captures the group dynamic well, allowing the viewer to see the interactions and the table spread clearly.", "reason_2": "The composition is cluttered, and the camera movement feels random and disorienting.", "score_1": 8, "score_2": 2}, {"name": "Overall Aesthetic Appeal", "reason_1": "The video is visually pleasing and looks like a coherent piece of footage.", "reason_2": "The video is aesthetically unpleasant due to the heavy AI artifacts and distortion.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully creates the 'warm, inviting' mood requested. Video 2's visual artifacts create an uncanny and disturbing atmosphere that contradicts the prompt's intent.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual stability, realistic rendering of human subjects, and accurate capture of the requested cultural atmosphere. While Video 2 attempts the prompt's elements, it suffers from severe generative artifacts, including melting faces, distorted anatomy, and chaotic motion, which completely undermine the 'warm, inviting' mood required by the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 59.851} +{"pair_id": "039_seed_310", "sample_index": 39, "seed": 310, "prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_310_A warm inviting scene unfolds as a Latin American.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_310_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_310_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_310_A warm inviting scene unfolds as a Latin American.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Cultural Specificity (Textiles & Cuisine)\", \"reason_1\": \"Video 1 perfectly renders the 'vibrant, handwoven textiles' on the wall and table, and the food (tamales, stew) looks authentic and appetizing.\", \"reason_2\": \"Video 2 lacks the specific handwoven wall decor and the food items appear generic and plastic, missing the specific cultural cues requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Interaction & Action Logic\", \"reason_1\": \"The family in Video 1 engages in natural conversation and laughter. The grandmother is clearly present and active.\", \"reason_2\": \"While the family is present, the interactions are marred by glitchy motion, and the specific action of 'reaching for guacamole' is less distinct than the general chaos of movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Lighting (Warmth & Candlelight)\", \"reason_1\": \"Video 1 captures the 'warm glow' and 'cozy atmosphere' effectively with rich, warm tones.\", \"reason_2\": \"Video 2 has flatter, cooler lighting that fails to evoke the 'warm, inviting' mood described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific cultural elements requested, such as the handwoven wall textiles and the specific food items, whereas Video 2 feels more generic and lacks the specific environmental details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The faces in Video 1 remain consistent and recognizable throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and morphing of faces, particularly the woman on the right and the children, destroying realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity (Hands & Limbs)\", \"reason_1\": \"Hands and gestures in Video 1 are mostly logical and well-formed.\", \"reason_2\": \"Video 2 displays significant anatomical errors, with hands merging into food or distorting unnaturally during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"Textures of the food, clothing, and skin are sharp and realistic.\", \"reason_2\": \"The image quality is softer, and textures (like the food) look smooth and artificial.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is stable and clear, while Video 2 suffers from severe hallucinations, morphing faces, and anatomical errors.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity & Mood\", \"reason_1\": \"The expressions of joy and laughter feel genuine and contagious, matching the 'animated conversation' prompt.\", \"reason_2\": \"The emotional impact is negative due to the uncanny valley effect caused by the facial distortions.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Visual Balance\", \"reason_1\": \"The framing includes the family, the food, and the cultural background elements in a balanced way.\", \"reason_2\": \"The composition is somewhat cluttered, and the focus shifts awkwardly without a clear narrative intent.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are vibrant and harmonious, reflecting the 'colorful array' and 'casual, colorful attire' requested.\", \"reason_2\": \"The color palette is duller and less cohesive compared to the vibrant aesthetic of Video 1.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a cohesive, aesthetically pleasing scene that feels like a genuine family memory, whereas Video 2 is visually disturbing due to the artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in almost every metric. It delivers a highly stable, culturally rich, and visually coherent scene that closely matches the prompt's description of a warm family gathering with specific traditional elements (handwoven textiles, specific dishes). Video 2, while attempting the scene, suffers from severe morphological instability, with faces and hands melting and distorting significantly, which breaks the immersion and realism entirely.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Cultural Specificity (Textiles & Cuisine)", "reason_1": "Video 1 perfectly renders the 'vibrant, handwoven textiles' on the wall and table, and the food (tamales, stew) looks authentic and appetizing.", "reason_2": "Video 2 lacks the specific handwoven wall decor and the food items appear generic and plastic, missing the specific cultural cues requested.", "score_1": 9, "score_2": 1}, {"name": "Subject Interaction & Action Logic", "reason_1": "The family in Video 1 engages in natural conversation and laughter. The grandmother is clearly present and active.", "reason_2": "While the family is present, the interactions are marred by glitchy motion, and the specific action of 'reaching for guacamole' is less distinct than the general chaos of movement.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Lighting (Warmth & Candlelight)", "reason_1": "Video 1 captures the 'warm glow' and 'cozy atmosphere' effectively with rich, warm tones.", "reason_2": "Video 2 has flatter, cooler lighting that fails to evoke the 'warm, inviting' mood described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific cultural elements requested, such as the handwoven wall textiles and the specific food items, whereas Video 2 feels more generic and lacks the specific environmental details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The faces in Video 1 remain consistent and recognizable throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and morphing of faces, particularly the woman on the right and the children, destroying realism.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity (Hands & Limbs)", "reason_1": "Hands and gestures in Video 1 are mostly logical and well-formed.", "reason_2": "Video 2 displays significant anatomical errors, with hands merging into food or distorting unnaturally during movement.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "Textures of the food, clothing, and skin are sharp and realistic.", "reason_2": "The image quality is softer, and textures (like the food) look smooth and artificial.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 is stable and clear, while Video 2 suffers from severe hallucinations, morphing faces, and anatomical errors.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity & Mood", "reason_1": "The expressions of joy and laughter feel genuine and contagious, matching the 'animated conversation' prompt.", "reason_2": "The emotional impact is negative due to the uncanny valley effect caused by the facial distortions.", "score_1": 9, "score_2": 1}, {"name": "Composition & Visual Balance", "reason_1": "The framing includes the family, the food, and the cultural background elements in a balanced way.", "reason_2": "The composition is somewhat cluttered, and the focus shifts awkwardly without a clear narrative intent.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are vibrant and harmonious, reflecting the 'colorful array' and 'casual, colorful attire' requested.", "reason_2": "The color palette is duller and less cohesive compared to the vibrant aesthetic of Video 1.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a cohesive, aesthetically pleasing scene that feels like a genuine family memory, whereas Video 2 is visually disturbing due to the artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in almost every metric. It delivers a highly stable, culturally rich, and visually coherent scene that closely matches the prompt's description of a warm family gathering with specific traditional elements (handwoven textiles, specific dishes). Video 2, while attempting the scene, suffers from severe morphological instability, with faces and hands melting and distorting significantly, which breaks the immersion and realism entirely.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 58.199} +{"pair_id": "039_seed_930", "sample_index": 39, "seed": 930, "prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Cultural & Environmental Fidelity\", \"reason_1\": \"Video 1 perfectly captures the 'vibrant, handwoven textiles' and 'rustic' atmosphere with high-quality textures and appropriate decor.\", \"reason_2\": \"Video 2 presents a flatter, more generic environment where the textiles lack the requested vibrancy and texture.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Interaction & Action Logic\", \"reason_1\": \"The family in Video 1 engages in natural, animated conversation with realistic gestures.\", \"reason_2\": \"Video 2 attempts the 'reaching' action, but the motion is unnatural and results in severe anatomical distortion, breaking the semantic logic of the scene.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Specific Object Rendering (Food)\", \"reason_1\": \"Video 1 renders distinct, appetizing food items that resemble the requested empanadas and stews.\", \"reason_2\": \"The food in Video 2 is blurry and indistinct, making it difficult to identify specific dishes like the guacamole or tamales.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific cultural elements and interactions requested, whereas Video 2 struggles with the physical logic of the interactions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Subjects maintain consistent facial features and body structures throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and warping of faces and hands, particularly the child in the foreground and the woman on the right.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is crisp, with high-definition textures on clothing and food.\", \"reason_2\": \"The video appears soft, washed out, and lacks fine detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and grounded in reality.\", \"reason_2\": \"Motion is jerky and fluid-like in a negative way, with objects and limbs morphing rather than moving rigidly.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by significant artifacts and warping.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Warmth & Coziness)\", \"reason_1\": \"The lighting and color grading successfully evoke the 'warm glow' and 'cozy' atmosphere described.\", \"reason_2\": \"The lighting is flat and cool, failing to convey the requested warmth.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, keeping all family members clearly visible and engaged.\", \"reason_2\": \"The composition is cluttered, with foreground elements (like the child's arm) obscuring the view awkwardly.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Aesthetically pleasing and commercially viable footage.\", \"reason_2\": \"Visually distracting due to artifacts and poor rendering.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a convincing and inviting cinematic scene, whereas Video 2 feels like a low-quality generation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, morphological stability, and accurate capture of the prompt's cultural and atmospheric details. It successfully renders the vibrant textiles and food with high definition and maintains consistent character identities. Video 2 suffers from severe temporal instability, with significant warping of faces and hands, and lacks the textural richness required by the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Cultural & Environmental Fidelity", "reason_1": "Video 1 perfectly captures the 'vibrant, handwoven textiles' and 'rustic' atmosphere with high-quality textures and appropriate decor.", "reason_2": "Video 2 presents a flatter, more generic environment where the textiles lack the requested vibrancy and texture.", "score_1": 8, "score_2": 2}, {"name": "Subject Interaction & Action Logic", "reason_1": "The family in Video 1 engages in natural, animated conversation with realistic gestures.", "reason_2": "Video 2 attempts the 'reaching' action, but the motion is unnatural and results in severe anatomical distortion, breaking the semantic logic of the scene.", "score_1": 7, "score_2": 3}, {"name": "Specific Object Rendering (Food)", "reason_1": "Video 1 renders distinct, appetizing food items that resemble the requested empanadas and stews.", "reason_2": "The food in Video 2 is blurry and indistinct, making it difficult to identify specific dishes like the guacamole or tamales.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific cultural elements and interactions requested, whereas Video 2 struggles with the physical logic of the interactions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Subjects maintain consistent facial features and body structures throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and warping of faces and hands, particularly the child in the foreground and the woman on the right.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is crisp, with high-definition textures on clothing and food.", "reason_2": "The video appears soft, washed out, and lacks fine detail.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and grounded in reality.", "reason_2": "Motion is jerky and fluid-like in a negative way, with objects and limbs morphing rather than moving rigidly.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by significant artifacts and warping.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Warmth & Coziness)", "reason_1": "The lighting and color grading successfully evoke the 'warm glow' and 'cozy' atmosphere described.", "reason_2": "The lighting is flat and cool, failing to convey the requested warmth.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing is balanced, keeping all family members clearly visible and engaged.", "reason_2": "The composition is cluttered, with foreground elements (like the child's arm) obscuring the view awkwardly.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Aesthetically pleasing and commercially viable footage.", "reason_2": "Visually distracting due to artifacts and poor rendering.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a convincing and inviting cinematic scene, whereas Video 2 feels like a low-quality generation.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, morphological stability, and accurate capture of the prompt's cultural and atmospheric details. It successfully renders the vibrant textiles and food with high definition and maintains consistent character identities. Video 2 suffers from severe temporal instability, with significant warping of faces and hands, and lacks the textural richness required by the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 54.557} +{"pair_id": "040_seed_42", "sample_index": 40, "seed": 42, "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The subject in Video 1 suffers from severe anatomical hallucinations; the face is distorted, and the limbs frequently merge or disappear.\", \"reason_2\": \"Video 2 maintains a consistent human form with recognizable limbs and facial features throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Specificity (Cacti & Mesas)\", \"reason_1\": \"Video 1 depicts a generic desert background where specific elements like cacti are indistinct or missing.\", \"reason_2\": \"Video 2 clearly renders the 'distant mesas and cacti' explicitly requested in the prompt, placing a distinct saguaro cactus in the foreground.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Fidelity (Sprinting Mechanics)\", \"reason_1\": \"The motion in Video 1 resembles a glitchy shuffle rather than a powerful sprint; the subject appears to slide without weight.\", \"reason_2\": \"Video 2 depicts a recognizable sprinting gait with forward momentum, aligning much better with the prompt's instruction to 'sprint'.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately renders the specific environmental details (cacti, mesas) and maintains the structural integrity of the human subject, whereas Video 1 fails to maintain basic anatomical logic.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 exhibits extreme temporal instability; the subject's body shape and clothing morph uncontrollably between frames.\", \"reason_2\": \"Video 2 keeps the subject's volume and shape consistent over time, with only minor fluctuations in the regalia.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image in Video 1 is blurry and lacks texture definition, particularly on the face and clothing.\", \"reason_2\": \"Video 2 is sharper, with clearer definition of the feathers, the desert floor, and the background elements.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion in Video 1 is jerky and unnatural, disrupting the illusion of movement.\", \"reason_2\": \"Video 2 offers a smoother frame rate and more fluid character animation.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates significantly better temporal stability and image clarity. Video 1 is plagued by constant morphing and low-resolution artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a somewhat awkward frontal angle that obscures the sense of speed and distance.\", \"reason_2\": \"Video 2 utilizes a side-profile tracking shot that effectively conveys the 'vast landscape' and the subject's journey across it.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Lighting (Golden Hue)\", \"reason_1\": \"Video 1 has decent lighting but lacks the specific 'golden hue' warmth requested, appearing somewhat washed out.\", \"reason_2\": \"Video 2 captures the 'golden hue' effectively, with warm lighting on the subject and the desert floor that matches the prompt's mood.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Expression (Grace & Determination)\", \"reason_1\": \"Due to the glitchy visuals, Video 1 fails to convey 'grace' or 'determination', looking more like a technical error.\", \"reason_2\": \"Video 2 successfully conveys the narrative of a determined runner moving through a sacred land, aided by the flowing regalia and steady pace.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 employs a cinematic profile shot that enhances the sense of speed and journey, supported by better lighting that matches the 'golden hue' description.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to superior anatomical consistency, higher visual fidelity, and a more accurate depiction of the prompt's environmental details. While Video 1 suffers from severe morphological distortion and a lack of coherent motion, Video 2 successfully renders a recognizable human figure sprinting with a stable gait, distinct environmental elements like the cacti and mesas, and a cinematic composition that captures the requested 'golden hue' and sense of journey.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Anatomical Logic", "reason_1": "The subject in Video 1 suffers from severe anatomical hallucinations; the face is distorted, and the limbs frequently merge or disappear.", "reason_2": "Video 2 maintains a consistent human form with recognizable limbs and facial features throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Environmental Specificity (Cacti & Mesas)", "reason_1": "Video 1 depicts a generic desert background where specific elements like cacti are indistinct or missing.", "reason_2": "Video 2 clearly renders the 'distant mesas and cacti' explicitly requested in the prompt, placing a distinct saguaro cactus in the foreground.", "score_1": 3, "score_2": 7}, {"name": "Action Fidelity (Sprinting Mechanics)", "reason_1": "The motion in Video 1 resembles a glitchy shuffle rather than a powerful sprint; the subject appears to slide without weight.", "reason_2": "Video 2 depicts a recognizable sprinting gait with forward momentum, aligning much better with the prompt's instruction to 'sprint'.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately renders the specific environmental details (cacti, mesas) and maintains the structural integrity of the human subject, whereas Video 1 fails to maintain basic anatomical logic.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability", "reason_1": "Video 1 exhibits extreme temporal instability; the subject's body shape and clothing morph uncontrollably between frames.", "reason_2": "Video 2 keeps the subject's volume and shape consistent over time, with only minor fluctuations in the regalia.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image in Video 1 is blurry and lacks texture definition, particularly on the face and clothing.", "reason_2": "Video 2 is sharper, with clearer definition of the feathers, the desert floor, and the background elements.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness", "reason_1": "The motion in Video 1 is jerky and unnatural, disrupting the illusion of movement.", "reason_2": "Video 2 offers a smoother frame rate and more fluid character animation.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates significantly better temporal stability and image clarity. Video 1 is plagued by constant morphing and low-resolution artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a somewhat awkward frontal angle that obscures the sense of speed and distance.", "reason_2": "Video 2 utilizes a side-profile tracking shot that effectively conveys the 'vast landscape' and the subject's journey across it.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Lighting (Golden Hue)", "reason_1": "Video 1 has decent lighting but lacks the specific 'golden hue' warmth requested, appearing somewhat washed out.", "reason_2": "Video 2 captures the 'golden hue' effectively, with warm lighting on the subject and the desert floor that matches the prompt's mood.", "score_1": 4, "score_2": 6}, {"name": "Narrative Expression (Grace & Determination)", "reason_1": "Due to the glitchy visuals, Video 1 fails to convey 'grace' or 'determination', looking more like a technical error.", "reason_2": "Video 2 successfully conveys the narrative of a determined runner moving through a sacred land, aided by the flowing regalia and steady pace.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 employs a cinematic profile shot that enhances the sense of speed and journey, supported by better lighting that matches the 'golden hue' description.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to superior anatomical consistency, higher visual fidelity, and a more accurate depiction of the prompt's environmental details. While Video 1 suffers from severe morphological distortion and a lack of coherent motion, Video 2 successfully renders a recognizable human figure sprinting with a stable gait, distinct environmental elements like the cacti and mesas, and a cinematic composition that captures the requested 'golden hue' and sense of journey.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 67.0, "elapsed_sec": 61.006} +{"pair_id": "040_seed_310", "sample_index": 40, "seed": 310, "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_310_A Native American man sprints across a vast desert.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_310_A Native American man sprints across a vast desert.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_310_A Native American man sprints across a vast desert.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_310_A Native American man sprints across a vast desert.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 generates a figure in regalia, but the details are muddy and the 'intricate beadwork' is lost in blur.\", \"reason_2\": \"Video 2 clearly renders the headdress, feathers, and flowing regalia with distinct textures and vibrant colors as requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Mesas & Cacti)\", \"reason_1\": \"Video 1 features a generic desert background with mesas but lacks the specific cacti mentioned in the prompt.\", \"reason_2\": \"Video 2 explicitly includes cacti in the foreground and detailed mesas in the background, aligning perfectly with the prompt's setting.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Sprinting vs. Gliding)\", \"reason_1\": \"The subject in Video 1 appears to be sliding or floating rather than taking 'powerful strides,' failing the specific motion description.\", \"reason_2\": \"Video 2 depicts a recognizable sprinting motion with leg movement that suggests power and speed, closer to the prompt's intent.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the specific details of the prompt, including the cacti and the distinct features of the regalia, whereas Video 1 provides a generic and blurry approximation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe anatomical failure; the subject's legs frequently disappear, merge, or distort into unrecognizable shapes.\", \"reason_2\": \"Video 2 maintains a consistent human form throughout the clip, with limbs remaining distinct and anatomically logical.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is heavily pixelated and blurry, lacking definition in both the subject and the environment.\", \"reason_2\": \"The image is crisp, with sharp edges on the feathers and clear separation between the subject and the background.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion is jerky and unnatural, with the subject seeming to glitch through the terrain.\", \"reason_2\": \"The movement is fluid and continuous, effectively conveying the momentum of a sprint.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains a stable image with consistent subject identity, while Video 1 is plagued by severe artifacts and anatomical hallucinations.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Framing & Tracking\", \"reason_1\": \"The framing is somewhat static and fails to emphasize the speed of the runner effectively.\", \"reason_2\": \"The camera tracks the subject smoothly from the side, creating a dynamic sense of speed and a cinematic look.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting & Atmosphere (Golden Hue)\", \"reason_1\": \"Video 1 actually captures the 'golden hue' lighting very well, creating a warm, atmospheric desert sun effect.\", \"reason_2\": \"Video 2 has good lighting, but it is slightly cooler and less intensely 'golden' than Video 1, though still aesthetically pleasing.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual experience is marred by low resolution and glitchy artifacts, making it unpleasant to watch.\", \"reason_2\": \"The video is visually engaging, with vibrant colors and a clear, professional presentation.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a cinematic tracking shot that enhances the feeling of speed, whereas Video 1 feels like a low-quality, static generation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Dynamic Regalia Physics\", \"dims\": [{\"name\": \"Feather & Fabric Flow\", \"reason_1\": \"The regalia moves as a single, morphing blob rather than individual feathers or fabric reacting to wind.\", \"reason_2\": \"The feathers and skirt elements flutter and react to the wind and motion in a physically plausible way.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Ground Interaction (Moccasins/Sand)\", \"reason_1\": \"The subject floats above the sand with no clear contact points, failing the 'moccasins barely touch' description.\", \"reason_2\": \"While not perfectly 'gliding,' the feet make contact with the ground in a way that suggests running, respecting the physical space.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Wind Simulation\", \"reason_1\": \"There is no clear sense of wind direction or interaction with the subject.\", \"reason_2\": \"The movement of the headdress and feathers clearly suggests a strong wind accompanying the sprint.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"This personalized category evaluates the specific prompt requirement of 'regalia flowing' and 'feathers fluttering,' where Video 2 excels.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is significantly superior in terms of visual fidelity, anatomical consistency, and semantic accuracy. While Video 1 captures the color palette, it suffers from severe morphological breakdowns where the subject's legs and regalia merge into a blur. Video 2 successfully renders the intricate details of the regalia, the specific environmental elements (cacti, mesas), and maintains a coherent human form throughout the sprint.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 generates a figure in regalia, but the details are muddy and the 'intricate beadwork' is lost in blur.", "reason_2": "Video 2 clearly renders the headdress, feathers, and flowing regalia with distinct textures and vibrant colors as requested.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Mesas & Cacti)", "reason_1": "Video 1 features a generic desert background with mesas but lacks the specific cacti mentioned in the prompt.", "reason_2": "Video 2 explicitly includes cacti in the foreground and detailed mesas in the background, aligning perfectly with the prompt's setting.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Sprinting vs. Gliding)", "reason_1": "The subject in Video 1 appears to be sliding or floating rather than taking 'powerful strides,' failing the specific motion description.", "reason_2": "Video 2 depicts a recognizable sprinting motion with leg movement that suggests power and speed, closer to the prompt's intent.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the specific details of the prompt, including the cacti and the distinct features of the regalia, whereas Video 1 provides a generic and blurry approximation.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe anatomical failure; the subject's legs frequently disappear, merge, or distort into unrecognizable shapes.", "reason_2": "Video 2 maintains a consistent human form throughout the clip, with limbs remaining distinct and anatomically logical.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is heavily pixelated and blurry, lacking definition in both the subject and the environment.", "reason_2": "The image is crisp, with sharp edges on the feathers and clear separation between the subject and the background.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "The motion is jerky and unnatural, with the subject seeming to glitch through the terrain.", "reason_2": "The movement is fluid and continuous, effectively conveying the momentum of a sprint.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains a stable image with consistent subject identity, while Video 1 is plagued by severe artifacts and anatomical hallucinations.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Framing & Tracking", "reason_1": "The framing is somewhat static and fails to emphasize the speed of the runner effectively.", "reason_2": "The camera tracks the subject smoothly from the side, creating a dynamic sense of speed and a cinematic look.", "score_1": 3, "score_2": 7}, {"name": "Lighting & Atmosphere (Golden Hue)", "reason_1": "Video 1 actually captures the 'golden hue' lighting very well, creating a warm, atmospheric desert sun effect.", "reason_2": "Video 2 has good lighting, but it is slightly cooler and less intensely 'golden' than Video 1, though still aesthetically pleasing.", "score_1": 6, "score_2": 4}, {"name": "Overall Visual Appeal", "reason_1": "The visual experience is marred by low resolution and glitchy artifacts, making it unpleasant to watch.", "reason_2": "The video is visually engaging, with vibrant colors and a clear, professional presentation.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a cinematic tracking shot that enhances the feeling of speed, whereas Video 1 feels like a low-quality, static generation.", "cat_winner": "Video 2"}, {"name": "D. Dynamic Regalia Physics", "dims": [{"name": "Feather & Fabric Flow", "reason_1": "The regalia moves as a single, morphing blob rather than individual feathers or fabric reacting to wind.", "reason_2": "The feathers and skirt elements flutter and react to the wind and motion in a physically plausible way.", "score_1": 2, "score_2": 8}, {"name": "Ground Interaction (Moccasins/Sand)", "reason_1": "The subject floats above the sand with no clear contact points, failing the 'moccasins barely touch' description.", "reason_2": "While not perfectly 'gliding,' the feet make contact with the ground in a way that suggests running, respecting the physical space.", "score_1": 2, "score_2": 8}, {"name": "Wind Simulation", "reason_1": "There is no clear sense of wind direction or interaction with the subject.", "reason_2": "The movement of the headdress and feathers clearly suggests a strong wind accompanying the sprint.", "score_1": 3, "score_2": 7}], "cat_reason": "This personalized category evaluates the specific prompt requirement of 'regalia flowing' and 'feathers fluttering,' where Video 2 excels.", "cat_winner": "Video 2"}], "reason": "Video 2 is significantly superior in terms of visual fidelity, anatomical consistency, and semantic accuracy. While Video 1 captures the color palette, it suffers from severe morphological breakdowns where the subject's legs and regalia merge into a blur. Video 2 successfully renders the intricate details of the regalia, the specific environmental elements (cacti, mesas), and maintains a coherent human form throughout the sprint.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 33.0, "total_score_2": 87.0, "elapsed_sec": 70.893} +{"pair_id": "040_seed_930", "sample_index": 40, "seed": 930, "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 clearly renders the Native American man with distinct, vibrant regalia and a headdress that matches the prompt's description of 'intricate beadwork' and 'feathers'.\", \"reason_2\": \"Video 2 presents a blurry figure where the regalia is indistinguishable from the body, lacking the requested vibrancy and detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Mesas & Terrain)\", \"reason_1\": \"Video 1 places the subject in a convincing desert setting with visible mesas in the background, matching the 'vast desert landscape' requirement.\", \"reason_2\": \"Video 2 also features the correct background elements (mesas, desert floor), but the lack of depth and detail makes the environment feel less immersive.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Fidelity (Sprinting & Flowing Regalia)\", \"reason_1\": \"Video 1 captures the 'powerful stride' and the 'flowing' nature of the regalia effectively, with feathers fluttering as requested.\", \"reason_2\": \"Video 2 attempts the sprinting motion, but the movement is jerky and the regalia does not flow naturally; it appears as a static, glitchy mass.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific details of the prompt, including the intricate beadwork and flowing feathers, whereas Video 2 fails to render these details clearly due to low fidelity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is sharp, with clear textures on the clothing and skin, and good contrast.\", \"reason_2\": \"The video is extremely blurry and pixelated, resembling a low-quality preview rather than a finished generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subject maintains a consistent human form throughout the clip, with limbs and head remaining proportional.\", \"reason_2\": \"The subject's legs and feet frequently morph into the ground or disappear entirely, breaking the illusion of a running human.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The running motion is fluid and rhythmic, conveying a sense of speed.\", \"reason_2\": \"The motion is stuttery and unnatural, with the subject appearing to slide or glitch rather than run.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains a professional level of clarity and stability, while Video 2 is plagued by low resolution, blurring, and significant anatomical hallucinations.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Lighting & Color Grading (Golden Hue)\", \"reason_1\": \"Video 1 successfully applies the 'golden hue' requested, creating a warm, cinematic sunset/sunrise atmosphere.\", \"reason_2\": \"Video 2 has flat, washed-out lighting that fails to evoke the 'golden' or 'sacred' mood described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing keeps the subject well-centered while showcasing the vast background, creating a strong cinematic look.\", \"reason_2\": \"The composition is weak due to the lack of definition; the subject feels disconnected from the background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually engaging and looks like a coherent piece of media.\", \"reason_2\": \"The video is visually unappealing due to heavy artifacts and blur.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the cinematic 'golden hour' aesthetic and the determined mood of the prompt, whereas Video 2 lacks artistic merit due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is significantly superior in terms of visual fidelity, anatomical consistency, and adherence to the prompt's aesthetic requirements. It successfully renders the intricate details of the regalia and the specific lighting conditions, whereas Video 2 suffers from severe blurring, morphological instability, and a lack of definition.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 clearly renders the Native American man with distinct, vibrant regalia and a headdress that matches the prompt's description of 'intricate beadwork' and 'feathers'.", "reason_2": "Video 2 presents a blurry figure where the regalia is indistinguishable from the body, lacking the requested vibrancy and detail.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Mesas & Terrain)", "reason_1": "Video 1 places the subject in a convincing desert setting with visible mesas in the background, matching the 'vast desert landscape' requirement.", "reason_2": "Video 2 also features the correct background elements (mesas, desert floor), but the lack of depth and detail makes the environment feel less immersive.", "score_1": 6, "score_2": 4}, {"name": "Action Fidelity (Sprinting & Flowing Regalia)", "reason_1": "Video 1 captures the 'powerful stride' and the 'flowing' nature of the regalia effectively, with feathers fluttering as requested.", "reason_2": "Video 2 attempts the sprinting motion, but the movement is jerky and the regalia does not flow naturally; it appears as a static, glitchy mass.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific details of the prompt, including the intricate beadwork and flowing feathers, whereas Video 2 fails to render these details clearly due to low fidelity.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is sharp, with clear textures on the clothing and skin, and good contrast.", "reason_2": "The video is extremely blurry and pixelated, resembling a low-quality preview rather than a finished generation.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Anatomy)", "reason_1": "The subject maintains a consistent human form throughout the clip, with limbs and head remaining proportional.", "reason_2": "The subject's legs and feet frequently morph into the ground or disappear entirely, breaking the illusion of a running human.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The running motion is fluid and rhythmic, conveying a sense of speed.", "reason_2": "The motion is stuttery and unnatural, with the subject appearing to slide or glitch rather than run.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains a professional level of clarity and stability, while Video 2 is plagued by low resolution, blurring, and significant anatomical hallucinations.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Lighting & Color Grading (Golden Hue)", "reason_1": "Video 1 successfully applies the 'golden hue' requested, creating a warm, cinematic sunset/sunrise atmosphere.", "reason_2": "Video 2 has flat, washed-out lighting that fails to evoke the 'golden' or 'sacred' mood described.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition", "reason_1": "The framing keeps the subject well-centered while showcasing the vast background, creating a strong cinematic look.", "reason_2": "The composition is weak due to the lack of definition; the subject feels disconnected from the background.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually engaging and looks like a coherent piece of media.", "reason_2": "The video is visually unappealing due to heavy artifacts and blur.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the cinematic 'golden hour' aesthetic and the determined mood of the prompt, whereas Video 2 lacks artistic merit due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is significantly superior in terms of visual fidelity, anatomical consistency, and adherence to the prompt's aesthetic requirements. It successfully renders the intricate details of the regalia and the specific lighting conditions, whereas Video 2 suffers from severe blurring, morphological instability, and a lack of definition.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 59.331} +{"pair_id": "041_seed_42", "sample_index": 41, "seed": 42, "prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_42_A lively group of South Asian women adorned in vib.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_42_A lively group of South Asian women adorned in vib.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_42_A lively group of South Asian women adorned in vib.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_42_A lively group of South Asian women adorned in vib.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 features the correct attire, but the textures are muddy and the specific 'shimmer' requested is lost in the blur.\", \"reason_2\": \"Video 2 renders the 'red, gold, and emerald' saris with high distinctness and realistic fabric textures that align perfectly with the prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Graceful Dance)\", \"reason_1\": \"The movement in Video 1 is jerky and unnatural, failing to convey the 'graceful' aspect of the prompt.\", \"reason_2\": \"Video 2 depicts a smooth, rhythmic, and synchronized dance movement that accurately reflects the requested grace.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Crowd & Decor)\", \"reason_1\": \"The background in Video 1 is a vague, blurry wash of colors with no discernible crowd or decorations.\", \"reason_2\": \"Video 2 clearly depicts a 'bustling festival' with a visible, detailed crowd and specific colorful decorations in the background.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the specific details of the prompt—such as the shimmering fabrics, the distinct crowd, and the graceful nature of the dance—much more accurately than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely low resolution, blurry, and lacks fine detail throughout.\", \"reason_2\": \"The video is crisp, high-definition, and maintains sharpness on facial features and clothing details.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Faces & Hands)\", \"reason_1\": \"Faces and hands constantly morph, melt, and distort, creating a disturbing visual effect.\", \"reason_2\": \"Subject identities remain consistent; faces and hands maintain their structure throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion is stuttery and lacks fluidity, resembling a low frame-rate interpolation.\", \"reason_2\": \"The movement is fluid and continuous, mimicking real video footage.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is a high-definition generation with stable temporal consistency, whereas Video 1 is plagued by low resolution, severe artifacts, and morphing subjects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Lighting & Color Vibrancy\", \"reason_1\": \"Colors are present but dull and washed out due to the blur; lighting is flat.\", \"reason_2\": \"The lighting is dynamic, creating the requested 'shimmer' on the saris and enhancing the festive atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is tight and somewhat claustrophobic, cutting off context.\", \"reason_2\": \"The wide shot effectively captures the group dynamic and the scale of the festival environment.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Aesthetic Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy artifacts and distortion.\", \"reason_2\": \"The video is aesthetically pleasing, resembling a professional broadcast or high-quality production.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 offers a professional, cinematic look with vibrant lighting and good composition, while Video 1 lacks aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Cultural Detail & Texture Rendering\", \"dims\": [{\"name\": \"Fabric Texture & Materiality\", \"reason_1\": \"The saris look like colored blobs without discernible fabric weave or weight.\", \"reason_2\": \"The saris exhibit realistic folds, sheen, and material properties consistent with silk or satin.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Accessory Detail (Jewelry)\", \"reason_1\": \"Jewelry is indistinguishable from the skin or clothing due to low fidelity.\", \"reason_2\": \"Bangles and other ornaments are clearly defined and interact realistically with the light and movement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Expression Nuance\", \"reason_1\": \"Facial expressions are distorted and unreadable.\", \"reason_2\": \"The subjects show clear, readable expressions that align with the 'concentration and joy' described in the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category highlights Video 2's superior ability to render the specific cultural elements (jewelry, fabric) requested in the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates vastly superior visual fidelity, temporal stability, and semantic accuracy. It successfully renders the intricate details of the saris, the background crowd, and the synchronized dance movements with high realism. Video 1 suffers from severe blurring, low resolution, and significant morphological distortion (melting faces and hands), failing to meet the quality standards required for a realistic depiction.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 features the correct attire, but the textures are muddy and the specific 'shimmer' requested is lost in the blur.", "reason_2": "Video 2 renders the 'red, gold, and emerald' saris with high distinctness and realistic fabric textures that align perfectly with the prompt.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Graceful Dance)", "reason_1": "The movement in Video 1 is jerky and unnatural, failing to convey the 'graceful' aspect of the prompt.", "reason_2": "Video 2 depicts a smooth, rhythmic, and synchronized dance movement that accurately reflects the requested grace.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Crowd & Decor)", "reason_1": "The background in Video 1 is a vague, blurry wash of colors with no discernible crowd or decorations.", "reason_2": "Video 2 clearly depicts a 'bustling festival' with a visible, detailed crowd and specific colorful decorations in the background.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the specific details of the prompt—such as the shimmering fabrics, the distinct crowd, and the graceful nature of the dance—much more accurately than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely low resolution, blurry, and lacks fine detail throughout.", "reason_2": "The video is crisp, high-definition, and maintains sharpness on facial features and clothing details.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Faces & Hands)", "reason_1": "Faces and hands constantly morph, melt, and distort, creating a disturbing visual effect.", "reason_2": "Subject identities remain consistent; faces and hands maintain their structure throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness", "reason_1": "The motion is stuttery and lacks fluidity, resembling a low frame-rate interpolation.", "reason_2": "The movement is fluid and continuous, mimicking real video footage.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is a high-definition generation with stable temporal consistency, whereas Video 1 is plagued by low resolution, severe artifacts, and morphing subjects.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Lighting & Color Vibrancy", "reason_1": "Colors are present but dull and washed out due to the blur; lighting is flat.", "reason_2": "The lighting is dynamic, creating the requested 'shimmer' on the saris and enhancing the festive atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing is tight and somewhat claustrophobic, cutting off context.", "reason_2": "The wide shot effectively captures the group dynamic and the scale of the festival environment.", "score_1": 3, "score_2": 7}, {"name": "Overall Aesthetic Appeal", "reason_1": "The video is visually unappealing due to heavy artifacts and distortion.", "reason_2": "The video is aesthetically pleasing, resembling a professional broadcast or high-quality production.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 offers a professional, cinematic look with vibrant lighting and good composition, while Video 1 lacks aesthetic appeal due to its technical flaws.", "cat_winner": "Video 2"}, {"name": "D. Cultural Detail & Texture Rendering", "dims": [{"name": "Fabric Texture & Materiality", "reason_1": "The saris look like colored blobs without discernible fabric weave or weight.", "reason_2": "The saris exhibit realistic folds, sheen, and material properties consistent with silk or satin.", "score_1": 2, "score_2": 8}, {"name": "Accessory Detail (Jewelry)", "reason_1": "Jewelry is indistinguishable from the skin or clothing due to low fidelity.", "reason_2": "Bangles and other ornaments are clearly defined and interact realistically with the light and movement.", "score_1": 2, "score_2": 8}, {"name": "Expression Nuance", "reason_1": "Facial expressions are distorted and unreadable.", "reason_2": "The subjects show clear, readable expressions that align with the 'concentration and joy' described in the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category highlights Video 2's superior ability to render the specific cultural elements (jewelry, fabric) requested in the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates vastly superior visual fidelity, temporal stability, and semantic accuracy. It successfully renders the intricate details of the saris, the background crowd, and the synchronized dance movements with high realism. Video 1 suffers from severe blurring, low resolution, and significant morphological distortion (melting faces and hands), failing to meet the quality standards required for a realistic depiction.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 95.0, "elapsed_sec": 68.41} +{"pair_id": "041_seed_310", "sample_index": 41, "seed": 310, "prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_310_A lively group of South Asian women adorned in vib.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_310_A lively group of South Asian women adorned in vib.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_310_A lively group of South Asian women adorned in vib.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_310_A lively group of South Asian women adorned in vib.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Graceful & Synchronized Dance)\", \"reason_1\": \"The movement is jerky, unnatural, and lacks the requested grace. The synchronization is broken by severe morphing artifacts.\", \"reason_2\": \"The video displays a coherent, rhythmic dance movement that feels synchronized and graceful, aligning perfectly with the prompt's action requirements.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Accuracy (Sari Colors & Details)\", \"reason_1\": \"While the colors are present, the rendering of the saris is inconsistent, with textures that look plastic and unstable.\", \"reason_2\": \"The saris are rendered with high fidelity, showcasing the requested red, gold, and emerald tones with realistic fabric textures and shimmer.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Festival & Crowd)\", \"reason_1\": \"The background is present but blurry and indistinct, failing to clearly convey a 'bustling' atmosphere.\", \"reason_2\": \"The background clearly shows decorations and a crowd, effectively establishing the festive context requested.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the 'graceful' and 'synchronized' nature of the dance, whereas Video 1's motion is chaotic and glitchy. Video 2 also renders the specific sari colors and festival atmosphere with greater clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Body & Limbs)\", \"reason_1\": \"The video exhibits severe hallucinations; arms merge into bodies, and hands lose their shape entirely during movement.\", \"reason_2\": \"The subjects maintain consistent anatomical structure throughout the clip, with no noticeable morphing or warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The faces of the women distort and change features significantly from frame to frame, breaking immersion.\", \"reason_2\": \"The facial features of the main subjects remain consistent and recognizable throughout the duration of the video.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The overall image is soft and lacks definition, with significant noise and artifacts.\", \"reason_2\": \"The video is sharp, with clear details on jewelry (bangles) and clothing patterns.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"This is the most significant differentiator. Video 1 fails fundamentally in maintaining subject integrity, with limbs and faces melting. Video 2 remains stable, sharp, and realistic throughout.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual experience is marred by distracting glitches and unnatural motion, making it aesthetically unpleasant.\", \"reason_2\": \"The video is visually pleasing, with vibrant colors and smooth motion that effectively captures the beauty of the cultural heritage.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Expression of Mood (Joy & Concentration)\", \"reason_1\": \"The facial distortions make it impossible to read any genuine expression of joy or concentration.\", \"reason_2\": \"The subjects display focused and pleasant expressions that align well with the 'blend of concentration and joy' described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is somewhat chaotic, and the subjects often drift awkwardly within the frame.\", \"reason_2\": \"The composition is balanced, keeping the dancers well-framed to showcase their synchronized movements and attire.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a professional, aesthetically pleasing presentation with good lighting and composition. Video 1 is visually disturbing due to the artifacts and lacks artistic merit.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in technical execution and semantic alignment. It successfully renders a stable, synchronized dance performance with high visual fidelity, maintaining subject identity and anatomical logic. Video 1 suffers from severe morphological instability, with significant warping of faces and limbs, and fails to capture the 'graceful' nature of the movement requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Graceful & Synchronized Dance)", "reason_1": "The movement is jerky, unnatural, and lacks the requested grace. The synchronization is broken by severe morphing artifacts.", "reason_2": "The video displays a coherent, rhythmic dance movement that feels synchronized and graceful, aligning perfectly with the prompt's action requirements.", "score_1": 2, "score_2": 8}, {"name": "Attribute Accuracy (Sari Colors & Details)", "reason_1": "While the colors are present, the rendering of the saris is inconsistent, with textures that look plastic and unstable.", "reason_2": "The saris are rendered with high fidelity, showcasing the requested red, gold, and emerald tones with realistic fabric textures and shimmer.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Festival & Crowd)", "reason_1": "The background is present but blurry and indistinct, failing to clearly convey a 'bustling' atmosphere.", "reason_2": "The background clearly shows decorations and a crowd, effectively establishing the festive context requested.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the 'graceful' and 'synchronized' nature of the dance, whereas Video 1's motion is chaotic and glitchy. Video 2 also renders the specific sari colors and festival atmosphere with greater clarity.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Body & Limbs)", "reason_1": "The video exhibits severe hallucinations; arms merge into bodies, and hands lose their shape entirely during movement.", "reason_2": "The subjects maintain consistent anatomical structure throughout the clip, with no noticeable morphing or warping.", "score_1": 1, "score_2": 9}, {"name": "Subject Identity Persistence", "reason_1": "The faces of the women distort and change features significantly from frame to frame, breaking immersion.", "reason_2": "The facial features of the main subjects remain consistent and recognizable throughout the duration of the video.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The overall image is soft and lacks definition, with significant noise and artifacts.", "reason_2": "The video is sharp, with clear details on jewelry (bangles) and clothing patterns.", "score_1": 3, "score_2": 7}], "cat_reason": "This is the most significant differentiator. Video 1 fails fundamentally in maintaining subject integrity, with limbs and faces melting. Video 2 remains stable, sharp, and realistic throughout.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The visual experience is marred by distracting glitches and unnatural motion, making it aesthetically unpleasant.", "reason_2": "The video is visually pleasing, with vibrant colors and smooth motion that effectively captures the beauty of the cultural heritage.", "score_1": 2, "score_2": 8}, {"name": "Expression of Mood (Joy & Concentration)", "reason_1": "The facial distortions make it impossible to read any genuine expression of joy or concentration.", "reason_2": "The subjects display focused and pleasant expressions that align well with the 'blend of concentration and joy' described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing is somewhat chaotic, and the subjects often drift awkwardly within the frame.", "reason_2": "The composition is balanced, keeping the dancers well-framed to showcase their synchronized movements and attire.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a professional, aesthetically pleasing presentation with good lighting and composition. Video 1 is visually disturbing due to the artifacts and lacks artistic merit.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in technical execution and semantic alignment. It successfully renders a stable, synchronized dance performance with high visual fidelity, maintaining subject identity and anatomical logic. Video 1 suffers from severe morphological instability, with significant warping of faces and limbs, and fails to capture the 'graceful' nature of the movement requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 55.047} +{"pair_id": "041_seed_930", "sample_index": 41, "seed": 930, "prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 correctly identifies the subjects and the specific sari colors (red, gold, emerald) requested.\", \"reason_2\": \"Video 2 also correctly identifies the subjects and renders the specific sari colors with high accuracy.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Expression Fidelity (Concentration & Joy)\", \"reason_1\": \"The facial expressions in Video 1 are heavily distorted and morph constantly, failing to convey the requested 'blend of concentration and joy'.\", \"reason_2\": \"Video 2 renders clear, stable faces that convey a sense of focus and engagement, aligning well with the prompt's emotional requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Festival Lights)\", \"reason_1\": \"The background in Video 1 is present but lacks the distinct 'shimmer' and definition of festival lights, appearing somewhat muddy.\", \"reason_2\": \"Video 2 features distinct bokeh and lighting effects that effectively simulate the 'shimmer under festival lights' described in the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the specific details of the prompt—such as facial expressions and lighting effects—much more accurately than Video 1, which struggles with facial definition.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, low-resolution, and lacks fine detail in textures like the sari fabric.\", \"reason_2\": \"The video is sharp, high-definition, and renders textures (skin, fabric, jewelry) with high clarity.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Faces & Bodies)\", \"reason_1\": \"Subjects in Video 1 suffer from severe 'melting' and warping, particularly in the faces and hands during movement.\", \"reason_2\": \"Video 2 maintains consistent subject identity and anatomical structure throughout the clip with minimal warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The motion is jerky and unnatural, with frames that feel disconnected.\", \"reason_2\": \"The movement is fluid and continuous, creating a believable representation of dance motion.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is technically superior in every aspect, offering a sharp, stable image compared to the blurry and unstable output of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"Lighting is flat and dull, failing to capture the 'vivid' and 'shimmering' atmosphere requested.\", \"reason_2\": \"Excellent use of lighting creates a vibrant, festive atmosphere that enhances the aesthetic appeal.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The low quality and artifacts make the video visually unappealing and difficult to watch.\", \"reason_2\": \"The video is visually pleasing, with rich colors and a professional look that highlights the cultural heritage.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable but feels cluttered due to the lack of depth of field.\", \"reason_2\": \"The composition uses depth of field effectively to separate the dancers from the background, focusing attention on the subjects.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 presents a cinematic, aesthetically pleasing image with professional lighting, whereas Video 1 lacks artistic polish.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Cultural Detail & Choreography\", \"dims\": [{\"name\": \"Choreographic Synchronization\", \"reason_1\": \"The dancers move somewhat together, but the lack of definition makes the synchronization hard to appreciate.\", \"reason_2\": \"The dancers exhibit clear, synchronized hand movements and body language typical of traditional dance.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Accessory Detail (Bangles/Jewelry)\", \"reason_1\": \"Jewelry is visible but appears as blurry blobs rather than distinct objects.\", \"reason_2\": \"Bangles and jewelry are rendered with distinct edges and shine, aligning with the prompt's mention of 'bangles jingle'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Fabric Physics & Texture\", \"reason_1\": \"The saris look like solid colored shapes without realistic fabric physics.\", \"reason_2\": \"The saris have visible texture and fold naturally as the dancers move, adding to the realism.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category assesses the specific cultural elements requested. Video 2 excels in rendering the intricate details of the dance and attire.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates vastly superior visual fidelity, temporal stability, and aesthetic quality. While Video 1 captures the basic semantic elements, it suffers from severe blurring, low resolution, and significant morphological distortion (melting faces). Video 2 delivers a high-definition, cinematic result with stable subject identities, realistic lighting that matches the 'shimmering' description, and coherent dance movements.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 correctly identifies the subjects and the specific sari colors (red, gold, emerald) requested.", "reason_2": "Video 2 also correctly identifies the subjects and renders the specific sari colors with high accuracy.", "score_1": 5, "score_2": 5}, {"name": "Expression Fidelity (Concentration & Joy)", "reason_1": "The facial expressions in Video 1 are heavily distorted and morph constantly, failing to convey the requested 'blend of concentration and joy'.", "reason_2": "Video 2 renders clear, stable faces that convey a sense of focus and engagement, aligning well with the prompt's emotional requirement.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Festival Lights)", "reason_1": "The background in Video 1 is present but lacks the distinct 'shimmer' and definition of festival lights, appearing somewhat muddy.", "reason_2": "Video 2 features distinct bokeh and lighting effects that effectively simulate the 'shimmer under festival lights' described in the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the specific details of the prompt—such as facial expressions and lighting effects—much more accurately than Video 1, which struggles with facial definition.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, low-resolution, and lacks fine detail in textures like the sari fabric.", "reason_2": "The video is sharp, high-definition, and renders textures (skin, fabric, jewelry) with high clarity.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Faces & Bodies)", "reason_1": "Subjects in Video 1 suffer from severe 'melting' and warping, particularly in the faces and hands during movement.", "reason_2": "Video 2 maintains consistent subject identity and anatomical structure throughout the clip with minimal warping.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness & Coherence", "reason_1": "The motion is jerky and unnatural, with frames that feel disconnected.", "reason_2": "The movement is fluid and continuous, creating a believable representation of dance motion.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is technically superior in every aspect, offering a sharp, stable image compared to the blurry and unstable output of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "Lighting is flat and dull, failing to capture the 'vivid' and 'shimmering' atmosphere requested.", "reason_2": "Excellent use of lighting creates a vibrant, festive atmosphere that enhances the aesthetic appeal.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The low quality and artifacts make the video visually unappealing and difficult to watch.", "reason_2": "The video is visually pleasing, with rich colors and a professional look that highlights the cultural heritage.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable but feels cluttered due to the lack of depth of field.", "reason_2": "The composition uses depth of field effectively to separate the dancers from the background, focusing attention on the subjects.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 presents a cinematic, aesthetically pleasing image with professional lighting, whereas Video 1 lacks artistic polish.", "cat_winner": "Video 2"}, {"name": "D. Cultural Detail & Choreography", "dims": [{"name": "Choreographic Synchronization", "reason_1": "The dancers move somewhat together, but the lack of definition makes the synchronization hard to appreciate.", "reason_2": "The dancers exhibit clear, synchronized hand movements and body language typical of traditional dance.", "score_1": 3, "score_2": 7}, {"name": "Accessory Detail (Bangles/Jewelry)", "reason_1": "Jewelry is visible but appears as blurry blobs rather than distinct objects.", "reason_2": "Bangles and jewelry are rendered with distinct edges and shine, aligning with the prompt's mention of 'bangles jingle'.", "score_1": 2, "score_2": 8}, {"name": "Fabric Physics & Texture", "reason_1": "The saris look like solid colored shapes without realistic fabric physics.", "reason_2": "The saris have visible texture and fold naturally as the dancers move, adding to the realism.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category assesses the specific cultural elements requested. Video 2 excels in rendering the intricate details of the dance and attire.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates vastly superior visual fidelity, temporal stability, and aesthetic quality. While Video 1 captures the basic semantic elements, it suffers from severe blurring, low resolution, and significant morphological distortion (melting faces). Video 2 delivers a high-definition, cinematic result with stable subject identities, realistic lighting that matches the 'shimmering' description, and coherent dance movements.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 92.0, "elapsed_sec": 69.897} +{"pair_id": "042_seed_42", "sample_index": 42, "seed": 42, "prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_42_A distinguished East Asian man with short black ha.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_42_A distinguished East Asian man with short black ha.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_42_A distinguished East Asian man with short black ha.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_42_A distinguished East Asian man with short black ha.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attire Fidelity (Suit & Shirt)\", \"reason_1\": \"Video 1 perfectly renders the 'tailored charcoal suit' and 'crisp white shirt' with a clean, professional look.\", \"reason_2\": \"Video 2 includes a prominent blue lanyard or ID badge around the neck, which was not requested and contradicts the 'distinguished' and 'tailored' aesthetic.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Facial Feature Nuance (Jawline & Lips)\", \"reason_1\": \"Video 1 distinctly highlights the 'sharpness of his jawline' and the 'gentle curve of his lips' as requested, creating a strong profile.\", \"reason_2\": \"Video 2 presents a softer, rounder facial structure that lacks the specific 'sharpness' and definition requested in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression of Thoughtfulness\", \"reason_1\": \"The subject in Video 1 displays a subtle, contemplative gaze that perfectly matches the description of 'depth of thoughtfulness'.\", \"reason_2\": \"The subject in Video 2 has a more neutral, blank stare that lacks the specific emotional depth or 'assurance' described.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 strictly adheres to the attire and physical description, whereas Video 2 introduces an unprompted accessory that alters the character's persona.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Photorealism\", \"reason_1\": \"Video 1 renders skin pores, wrinkles, and lighting interactions with high-fidelity realism.\", \"reason_2\": \"Video 2 has a smoother, slightly 'waxy' or plastic appearance common in lower-tier AI generations, lacking organic texture.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Micro-Motion Naturalness\", \"reason_1\": \"The subtle head tilt and eye movement in Video 1 feel organic and human.\", \"reason_2\": \"Video 2 is extremely static, resembling a still image with minimal animation, lacking dynamic life.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting Interaction\", \"reason_1\": \"The lighting in Video 1 realistically interacts with the glasses and facial contours, creating depth.\", \"reason_2\": \"The lighting in Video 2 is flatter and less dynamic, resulting in a less three-dimensional look.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 exhibits superior photorealism, particularly in skin texture and lighting interaction, while Video 2 appears slightly more artificial.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmosphere of Dignity\", \"reason_1\": \"The combination of the suit, the serious expression, and the lighting in Video 1 successfully evokes a 'distinguished' and 'composed' atmosphere.\", \"reason_2\": \"The presence of the lanyard and the softer features in Video 2 make the subject look more like a corporate employee than a distinguished figure.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 uses a tighter, more intimate framing that effectively draws attention to the 'nuances of his facial features'.\", \"reason_2\": \"Video 2 uses a standard medium shot that feels less intentional and less focused on the specific facial details requested.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Gaze Intensity & Warmth\", \"reason_1\": \"The eyes in Video 1 feel alive and engaging, conveying the 'intensity and warmth' mentioned in the prompt.\", \"reason_2\": \"The gaze in Video 2 is somewhat vacant and fails to establish a connection with the viewer.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'distinguished' and 'cinematic' tone of the prompt much better than the corporate/office vibe of Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it perfectly captures the 'distinguished' and 'tailored' aesthetic requested, featuring a subject with a sharp jawline and a clean, professional look. Video 2 fails significantly in semantic alignment by including a blue lanyard/ID badge, which contradicts the 'distinguished' persona, and lacks the specific facial definition and lighting nuance present in Video 1.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attire Fidelity (Suit & Shirt)", "reason_1": "Video 1 perfectly renders the 'tailored charcoal suit' and 'crisp white shirt' with a clean, professional look.", "reason_2": "Video 2 includes a prominent blue lanyard or ID badge around the neck, which was not requested and contradicts the 'distinguished' and 'tailored' aesthetic.", "score_1": 9, "score_2": 1}, {"name": "Facial Feature Nuance (Jawline & Lips)", "reason_1": "Video 1 distinctly highlights the 'sharpness of his jawline' and the 'gentle curve of his lips' as requested, creating a strong profile.", "reason_2": "Video 2 presents a softer, rounder facial structure that lacks the specific 'sharpness' and definition requested in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Expression of Thoughtfulness", "reason_1": "The subject in Video 1 displays a subtle, contemplative gaze that perfectly matches the description of 'depth of thoughtfulness'.", "reason_2": "The subject in Video 2 has a more neutral, blank stare that lacks the specific emotional depth or 'assurance' described.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 strictly adheres to the attire and physical description, whereas Video 2 introduces an unprompted accessory that alters the character's persona.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Photorealism", "reason_1": "Video 1 renders skin pores, wrinkles, and lighting interactions with high-fidelity realism.", "reason_2": "Video 2 has a smoother, slightly 'waxy' or plastic appearance common in lower-tier AI generations, lacking organic texture.", "score_1": 8, "score_2": 2}, {"name": "Micro-Motion Naturalness", "reason_1": "The subtle head tilt and eye movement in Video 1 feel organic and human.", "reason_2": "Video 2 is extremely static, resembling a still image with minimal animation, lacking dynamic life.", "score_1": 7, "score_2": 3}, {"name": "Lighting Interaction", "reason_1": "The lighting in Video 1 realistically interacts with the glasses and facial contours, creating depth.", "reason_2": "The lighting in Video 2 is flatter and less dynamic, resulting in a less three-dimensional look.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 exhibits superior photorealism, particularly in skin texture and lighting interaction, while Video 2 appears slightly more artificial.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmosphere of Dignity", "reason_1": "The combination of the suit, the serious expression, and the lighting in Video 1 successfully evokes a 'distinguished' and 'composed' atmosphere.", "reason_2": "The presence of the lanyard and the softer features in Video 2 make the subject look more like a corporate employee than a distinguished figure.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 uses a tighter, more intimate framing that effectively draws attention to the 'nuances of his facial features'.", "reason_2": "Video 2 uses a standard medium shot that feels less intentional and less focused on the specific facial details requested.", "score_1": 7, "score_2": 3}, {"name": "Gaze Intensity & Warmth", "reason_1": "The eyes in Video 1 feel alive and engaging, conveying the 'intensity and warmth' mentioned in the prompt.", "reason_2": "The gaze in Video 2 is somewhat vacant and fails to establish a connection with the viewer.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'distinguished' and 'cinematic' tone of the prompt much better than the corporate/office vibe of Video 2.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it perfectly captures the 'distinguished' and 'tailored' aesthetic requested, featuring a subject with a sharp jawline and a clean, professional look. Video 2 fails significantly in semantic alignment by including a blue lanyard/ID badge, which contradicts the 'distinguished' persona, and lacks the specific facial definition and lighting nuance present in Video 1.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 58.302} +{"pair_id": "042_seed_310", "sample_index": 42, "seed": 310, "prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_310_A distinguished East Asian man with short black ha.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_310_A distinguished East Asian man with short black ha.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_310_A distinguished East Asian man with short black ha.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_310_A distinguished East Asian man with short black ha.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Attire & Features)\", \"reason_1\": \"Video 1 accurately depicts the East Asian man, sleek glasses, and charcoal suit as requested.\", \"reason_2\": \"Video 2 also accurately depicts all physical attributes, including the suit, glasses, and hair.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Expression Fidelity (Thoughtfulness & Introspection)\", \"reason_1\": \"Video 1 perfectly captures the 'depth of thoughtfulness' and 'quiet confidence' with a steady, intense gaze.\", \"reason_2\": \"Video 2 fails to convey 'introspection' due to erratic eye movements that make the subject look distracted or glitchy rather than thoughtful.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Contour Emphasis\", \"reason_1\": \"The lighting in Video 1 is soft yet directional, effectively accentuating the jawline and facial contours as prompted.\", \"reason_2\": \"Video 2 has flatter lighting that washes out the facial contours slightly compared to the dramatic shaping in Video 1.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"While both videos generate the correct subject and attire, Video 1 captures the specific emotional nuances (thoughtfulness, confidence) much better than Video 2, which feels distracted due to unnatural eye movements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Ocular Stability & Gaze Consistency\", \"reason_1\": \"The subject's eyes in Video 1 are stable, focused, and move naturally, maintaining the illusion of life.\", \"reason_2\": \"Video 2 exhibits severe artifacts; the pupils drift independently and the eyes appear to 'swim' or glitch behind the glasses, breaking realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Skin Texture & Detail Fidelity\", \"reason_1\": \"Video 1 renders high-frequency details like skin pores and wrinkles with photorealistic sharpness.\", \"reason_2\": \"Video 2 appears slightly softer and more 'plastic' in texture, lacking the gritty realism of Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Temporal Coherence (Micro-movements)\", \"reason_1\": \"The subtle head movements and breathing in Video 1 are fluid and physically plausible.\", \"reason_2\": \"The motion in Video 2 feels slightly robotic, particularly the unnatural shifting of the head and eyes.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior realism, particularly in the stability of the eyes and the texture of the skin. Video 2 suffers from significant ocular instability (pupil drift) which ruins the realism.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Depth & Composition\", \"reason_1\": \"Video 1 uses a shallow depth of field effectively to isolate the subject, creating a professional cinematic look.\", \"reason_2\": \"Video 2 feels flatter with less separation between the subject and the background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Impact (Warmth & Intensity)\", \"reason_1\": \"The subject in Video 1 successfully projects the 'intensity and warmth' requested, engaging the viewer.\", \"reason_2\": \"The emotional connection is broken in Video 2 by the distracting eye glitches, failing to invite the viewer to 'ponder stories'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is a high-quality, usable clip that looks like a frame from a high-budget drama.\", \"reason_2\": \"Video 2 is visually flawed due to the eye artifacts, making it aesthetically unpleasant.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 achieves a cinematic look with better depth of field and color grading, creating a compelling portrait. Video 2 lacks this aesthetic polish and emotional connection.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism, particularly in the rendering of the eyes and skin texture. It successfully captures the subtle, introspective expression requested in the prompt without the technical artifacts present in Video 2. Video 2 suffers from noticeable ocular instability (pupil drift and unnatural movement) which breaks the immersion and fails to convey the requested 'quiet confidence'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Attire & Features)", "reason_1": "Video 1 accurately depicts the East Asian man, sleek glasses, and charcoal suit as requested.", "reason_2": "Video 2 also accurately depicts all physical attributes, including the suit, glasses, and hair.", "score_1": 5, "score_2": 5}, {"name": "Expression Fidelity (Thoughtfulness & Introspection)", "reason_1": "Video 1 perfectly captures the 'depth of thoughtfulness' and 'quiet confidence' with a steady, intense gaze.", "reason_2": "Video 2 fails to convey 'introspection' due to erratic eye movements that make the subject look distracted or glitchy rather than thoughtful.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Contour Emphasis", "reason_1": "The lighting in Video 1 is soft yet directional, effectively accentuating the jawline and facial contours as prompted.", "reason_2": "Video 2 has flatter lighting that washes out the facial contours slightly compared to the dramatic shaping in Video 1.", "score_1": 7, "score_2": 3}], "cat_reason": "While both videos generate the correct subject and attire, Video 1 captures the specific emotional nuances (thoughtfulness, confidence) much better than Video 2, which feels distracted due to unnatural eye movements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Ocular Stability & Gaze Consistency", "reason_1": "The subject's eyes in Video 1 are stable, focused, and move naturally, maintaining the illusion of life.", "reason_2": "Video 2 exhibits severe artifacts; the pupils drift independently and the eyes appear to 'swim' or glitch behind the glasses, breaking realism.", "score_1": 9, "score_2": 1}, {"name": "Skin Texture & Detail Fidelity", "reason_1": "Video 1 renders high-frequency details like skin pores and wrinkles with photorealistic sharpness.", "reason_2": "Video 2 appears slightly softer and more 'plastic' in texture, lacking the gritty realism of Video 1.", "score_1": 7, "score_2": 3}, {"name": "Temporal Coherence (Micro-movements)", "reason_1": "The subtle head movements and breathing in Video 1 are fluid and physically plausible.", "reason_2": "The motion in Video 2 feels slightly robotic, particularly the unnatural shifting of the head and eyes.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior realism, particularly in the stability of the eyes and the texture of the skin. Video 2 suffers from significant ocular instability (pupil drift) which ruins the realism.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Depth & Composition", "reason_1": "Video 1 uses a shallow depth of field effectively to isolate the subject, creating a professional cinematic look.", "reason_2": "Video 2 feels flatter with less separation between the subject and the background.", "score_1": 7, "score_2": 3}, {"name": "Emotional Impact (Warmth & Intensity)", "reason_1": "The subject in Video 1 successfully projects the 'intensity and warmth' requested, engaging the viewer.", "reason_2": "The emotional connection is broken in Video 2 by the distracting eye glitches, failing to invite the viewer to 'ponder stories'.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is a high-quality, usable clip that looks like a frame from a high-budget drama.", "reason_2": "Video 2 is visually flawed due to the eye artifacts, making it aesthetically unpleasant.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 achieves a cinematic look with better depth of field and color grading, creating a compelling portrait. Video 2 lacks this aesthetic polish and emotional connection.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism, particularly in the rendering of the eyes and skin texture. It successfully captures the subtle, introspective expression requested in the prompt without the technical artifacts present in Video 2. Video 2 suffers from noticeable ocular instability (pupil drift and unnatural movement) which breaks the immersion and fails to convey the requested 'quiet confidence'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 68.0, "total_score_2": 22.0, "elapsed_sec": 58.486} +{"pair_id": "042_seed_930", "sample_index": 42, "seed": 930, "prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Attire & Features)\", \"reason_1\": \"Video 1 correctly depicts the East Asian man, glasses, and suit, but the suit lacks the 'tailored' definition and the glasses appear slightly thick and less 'sleek'.\", \"reason_2\": \"Video 2 renders the 'tailored charcoal suit' with realistic fabric texture and the 'sleek glasses' with a modern, thin frame that fits the description perfectly.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Expression Fidelity (Introspection vs. Warmth)\", \"reason_1\": \"Video 1 leans heavily into 'warmth' with a distinct smile, which slightly contradicts the 'depth of thoughtfulness' and 'introspection' requested.\", \"reason_2\": \"Video 2 captures the 'quiet confidence' and 'thoughtfulness' with a more subtle, reserved expression that aligns better with the 'composed demeanor' described.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Lighting & Contour Emphasis\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and uniform, failing to strongly 'accentuate the contours' of the face as requested.\", \"reason_2\": \"Video 2 utilizes directional lighting that creates soft shadows, effectively highlighting the jawline and facial structure as specified in the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the specific nuances of the prompt—specifically the 'sleek' nature of the glasses and the 'tailored' look of the suit—more accurately than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"The skin texture appears overly smooth and plastic-like, lacking the pores and imperfections of real human skin.\", \"reason_2\": \"The video displays exceptional high-frequency detail, including visible skin pores, fine wrinkles, and realistic hair texture.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Micro-Motion Naturalness\", \"reason_1\": \"The motion is smooth but feels slightly robotic, particularly the blink and the fixed smile.\", \"reason_2\": \"The subject exhibits very subtle, organic movements (slight head tilt, eye focus shifts) that feel more human and less generated.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is clear but has a slight softness/blur typical of lower-tier generation models.\", \"reason_2\": \"The image is crisp and sharp, maintaining high definition even in the fine details of the glasses and facial hair.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates a leap in generation quality, offering photorealistic skin textures and natural micro-movements, whereas Video 1 suffers from the 'waxy' skin effect common in older AI models.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Portrait Aesthetic\", \"reason_1\": \"The aesthetic is functional but resembles a standard ID photo or stock avatar rather than a cinematic portrait.\", \"reason_2\": \"The composition, depth of field, and color grading give the video a high-end, cinematic drama feel.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Character Presence & Depth\", \"reason_1\": \"The character feels somewhat generic due to the lack of textural depth and the standard smiling expression.\", \"reason_2\": \"The subject feels like a specific, realized character with history, fulfilling the prompt's goal to 'invite the viewer to ponder the stories'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Gaze Intensity\", \"reason_1\": \"The gaze is friendly but lacks the 'intensity' mentioned in the prompt.\", \"reason_2\": \"The eyes are rendered with high realism and focus, conveying the requested 'depth of thoughtfulness' and 'quiet confidence'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully evokes the mood of a cinematic character study, whereas Video 1 feels more like a generic corporate headshot.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior photorealism and more sophisticated interpretation of the prompt's atmospheric requirements. While Video 1 provides a competent generation, it suffers from a 'smoothed' AI aesthetic and flatter lighting. Video 2 delivers high-fidelity skin texture, realistic lighting that accentuates facial contours as requested, and a more nuanced expression that perfectly captures the 'quiet confidence' and 'thoughtfulness' described.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Attire & Features)", "reason_1": "Video 1 correctly depicts the East Asian man, glasses, and suit, but the suit lacks the 'tailored' definition and the glasses appear slightly thick and less 'sleek'.", "reason_2": "Video 2 renders the 'tailored charcoal suit' with realistic fabric texture and the 'sleek glasses' with a modern, thin frame that fits the description perfectly.", "score_1": 4, "score_2": 6}, {"name": "Expression Fidelity (Introspection vs. Warmth)", "reason_1": "Video 1 leans heavily into 'warmth' with a distinct smile, which slightly contradicts the 'depth of thoughtfulness' and 'introspection' requested.", "reason_2": "Video 2 captures the 'quiet confidence' and 'thoughtfulness' with a more subtle, reserved expression that aligns better with the 'composed demeanor' described.", "score_1": 4, "score_2": 6}, {"name": "Lighting & Contour Emphasis", "reason_1": "The lighting in Video 1 is somewhat flat and uniform, failing to strongly 'accentuate the contours' of the face as requested.", "reason_2": "Video 2 utilizes directional lighting that creates soft shadows, effectively highlighting the jawline and facial structure as specified in the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the specific nuances of the prompt—specifically the 'sleek' nature of the glasses and the 'tailored' look of the suit—more accurately than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Photorealistic Texture Rendering", "reason_1": "The skin texture appears overly smooth and plastic-like, lacking the pores and imperfections of real human skin.", "reason_2": "The video displays exceptional high-frequency detail, including visible skin pores, fine wrinkles, and realistic hair texture.", "score_1": 2, "score_2": 8}, {"name": "Micro-Motion Naturalness", "reason_1": "The motion is smooth but feels slightly robotic, particularly the blink and the fixed smile.", "reason_2": "The subject exhibits very subtle, organic movements (slight head tilt, eye focus shifts) that feel more human and less generated.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is clear but has a slight softness/blur typical of lower-tier generation models.", "reason_2": "The image is crisp and sharp, maintaining high definition even in the fine details of the glasses and facial hair.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates a leap in generation quality, offering photorealistic skin textures and natural micro-movements, whereas Video 1 suffers from the 'waxy' skin effect common in older AI models.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Portrait Aesthetic", "reason_1": "The aesthetic is functional but resembles a standard ID photo or stock avatar rather than a cinematic portrait.", "reason_2": "The composition, depth of field, and color grading give the video a high-end, cinematic drama feel.", "score_1": 3, "score_2": 7}, {"name": "Character Presence & Depth", "reason_1": "The character feels somewhat generic due to the lack of textural depth and the standard smiling expression.", "reason_2": "The subject feels like a specific, realized character with history, fulfilling the prompt's goal to 'invite the viewer to ponder the stories'.", "score_1": 3, "score_2": 7}, {"name": "Gaze Intensity", "reason_1": "The gaze is friendly but lacks the 'intensity' mentioned in the prompt.", "reason_2": "The eyes are rendered with high realism and focus, conveying the requested 'depth of thoughtfulness' and 'quiet confidence'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully evokes the mood of a cinematic character study, whereas Video 1 feels more like a generic corporate headshot.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior photorealism and more sophisticated interpretation of the prompt's atmospheric requirements. While Video 1 provides a competent generation, it suffers from a 'smoothed' AI aesthetic and flatter lighting. Video 2 delivers high-fidelity skin texture, realistic lighting that accentuates facial contours as requested, and a more nuanced expression that perfectly captures the 'quiet confidence' and 'thoughtfulness' described.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 74.969} +{"pair_id": "043_seed_42", "sample_index": 43, "seed": 42, "prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_42_A striking close-up reveals an African woman with.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_42_A striking close-up reveals an African woman with.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_42_A striking close-up reveals an African woman with.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_42_A striking close-up reveals an African woman with.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Framing Precision (Striking Close-up)\", \"reason_1\": \"Video 1 provides a clear, centered close-up of the face, perfectly matching the prompt's instruction.\", \"reason_2\": \"Video 2 utilizes an awkward side-angle crop that cuts off the top of the head and the chin, failing to deliver a proper 'close-up' of the subject.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Beads & Braids)\", \"reason_1\": \"The beads and braids in Video 1 are distinct, colorful, and appear 'meticulously crafted' as requested.\", \"reason_2\": \"The hair details in Video 2 are blurry and indistinct; the beads are barely recognizable blobs.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression & Mood (Serene/Grace)\", \"reason_1\": \"The subject in Video 1 maintains a calm, serene gaze that aligns well with the prompt's emotional tone.\", \"reason_2\": \"The subject in Video 2 is smiling and talking, which deviates from the requested 'serene expression' and 'grace'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'striking close-up' and the specific details of the braids and beads. Video 2 fails the framing requirement and lacks the definition needed to show 'meticulous craftsmanship'.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 is sharp, showing the texture of the skin and the fabric clearly.\", \"reason_2\": \"Video 2 is extremely soft and blurry, lacking any definition in the textures of the clothing or hair.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Face & Features)\", \"reason_1\": \"The facial features in Video 1 remain consistent and solid throughout the clip.\", \"reason_2\": \"Video 2 exhibits significant warping and morphing of the facial features and neck area during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Sheen Rendering\", \"reason_1\": \"Video 1 successfully captures the 'subtle sheen' on the skin and hair mentioned in the prompt.\", \"reason_2\": \"The lighting in Video 2 is flat and dull, failing to highlight the artistry or textures.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high resolution and stability. Video 2 is plagued by blurriness, low resolution, and morphological instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Subject Framing\", \"reason_1\": \"The composition in Video 1 is balanced and aesthetically pleasing, focusing attention on the subject's heritage.\", \"reason_2\": \"The framing in Video 2 is poor, with the subject drifting out of focus and key elements (eyes, forehead) cut off.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Vibrancy & Harmony\", \"reason_1\": \"Video 1 displays the 'kaleidoscope of patterns' with rich, saturated colors that pop.\", \"reason_2\": \"The colors in Video 2 are washed out and muddy, lacking the vibrancy described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Aesthetic Appeal\", \"reason_1\": \"Video 1 looks like a professional portrait video.\", \"reason_2\": \"Video 2 looks like a low-quality, discarded generation.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 presents a cohesive, aesthetically pleasing portrait that feels like a 'timeless cultural legacy'. Video 2 lacks artistic merit due to poor composition and quality.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every regard, offering a high-definition, stable, and aesthetically striking interpretation of the prompt. It captures the intricate details of the braids and beads with excellent clarity and maintains the requested serene expression. Video 2 suffers from severe quality issues, including blurriness, awkward framing that cuts off the subject's face, and significant morphological instability.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Framing Precision (Striking Close-up)", "reason_1": "Video 1 provides a clear, centered close-up of the face, perfectly matching the prompt's instruction.", "reason_2": "Video 2 utilizes an awkward side-angle crop that cuts off the top of the head and the chin, failing to deliver a proper 'close-up' of the subject.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Beads & Braids)", "reason_1": "The beads and braids in Video 1 are distinct, colorful, and appear 'meticulously crafted' as requested.", "reason_2": "The hair details in Video 2 are blurry and indistinct; the beads are barely recognizable blobs.", "score_1": 8, "score_2": 2}, {"name": "Expression & Mood (Serene/Grace)", "reason_1": "The subject in Video 1 maintains a calm, serene gaze that aligns well with the prompt's emotional tone.", "reason_2": "The subject in Video 2 is smiling and talking, which deviates from the requested 'serene expression' and 'grace'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'striking close-up' and the specific details of the braids and beads. Video 2 fails the framing requirement and lacks the definition needed to show 'meticulous craftsmanship'.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 is sharp, showing the texture of the skin and the fabric clearly.", "reason_2": "Video 2 is extremely soft and blurry, lacking any definition in the textures of the clothing or hair.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Face & Features)", "reason_1": "The facial features in Video 1 remain consistent and solid throughout the clip.", "reason_2": "Video 2 exhibits significant warping and morphing of the facial features and neck area during movement.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Sheen Rendering", "reason_1": "Video 1 successfully captures the 'subtle sheen' on the skin and hair mentioned in the prompt.", "reason_2": "The lighting in Video 2 is flat and dull, failing to highlight the artistry or textures.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high resolution and stability. Video 2 is plagued by blurriness, low resolution, and morphological instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Subject Framing", "reason_1": "The composition in Video 1 is balanced and aesthetically pleasing, focusing attention on the subject's heritage.", "reason_2": "The framing in Video 2 is poor, with the subject drifting out of focus and key elements (eyes, forehead) cut off.", "score_1": 9, "score_2": 1}, {"name": "Color Vibrancy & Harmony", "reason_1": "Video 1 displays the 'kaleidoscope of patterns' with rich, saturated colors that pop.", "reason_2": "The colors in Video 2 are washed out and muddy, lacking the vibrancy described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Overall Aesthetic Appeal", "reason_1": "Video 1 looks like a professional portrait video.", "reason_2": "Video 2 looks like a low-quality, discarded generation.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 presents a cohesive, aesthetically pleasing portrait that feels like a 'timeless cultural legacy'. Video 2 lacks artistic merit due to poor composition and quality.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every regard, offering a high-definition, stable, and aesthetically striking interpretation of the prompt. It captures the intricate details of the braids and beads with excellent clarity and maintains the requested serene expression. Video 2 suffers from severe quality issues, including blurriness, awkward framing that cuts off the subject's face, and significant morphological instability.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 56.626} +{"pair_id": "043_seed_310", "sample_index": 43, "seed": 310, "prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_310_A striking close-up reveals an African woman with.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_310_A striking close-up reveals an African woman with.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_310_A striking close-up reveals an African woman with.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_310_A striking close-up reveals an African woman with.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Completeness (Face & Expression)\", \"reason_1\": \"Video 1 completely fails to show the subject's face or expression, showing only the neck and chin, which contradicts the prompt's request for a 'serene expression'.\", \"reason_2\": \"Video 2 clearly displays the woman's face, eyes, and smile, fulfilling the requirement for a 'serene expression' and 'grace'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Fidelity (Attire & Beads)\", \"reason_1\": \"Video 1 renders the beads and fabric patterns with high precision and distinct separation.\", \"reason_2\": \"Video 2 includes the correct attributes, but the beads and patterns are slightly less defined and blend together more than in Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Prompt Completeness (Framing)\", \"reason_1\": \"The framing in Video 1 is too tight, cutting off the most important part of the subject (the face).\", \"reason_2\": \"Video 2 uses a standard portrait close-up that appropriately frames the head, hair, and attire as described.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the full scope of the prompt, including the subject's face and expression, whereas Video 1 misses the primary subject entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity & Sharpness\", \"reason_1\": \"The skin texture, hair sheen, and fabric weave in Video 1 are rendered with photorealistic sharpness.\", \"reason_2\": \"Video 2 appears softer and slightly 'waxy', lacking the high-frequency detail seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is extremely stable with no noticeable warping of the static elements.\", \"reason_2\": \"Video 2 exhibits some characteristic AI warping and shifting in the background patterns and hair during movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Sheen Realism\", \"reason_1\": \"Video 1 accurately captures the 'subtle sheen' of the hair and skin requested in the prompt.\", \"reason_2\": \"The lighting in Video 2 is flatter, and the skin sheen looks somewhat artificial.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior technical rendering with sharper textures and better stability, despite the semantic failure.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Grace & Strength)\", \"reason_1\": \"Without a face, Video 1 cannot convey 'grace', 'strength', or 'serenity'. It is emotionally void.\", \"reason_2\": \"Video 2 effectively conveys the requested mood through the subject's warm smile and direct gaze.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The composition is awkward, focusing on the clavicle area, which feels accidental rather than artistic.\", \"reason_2\": \"The composition is a classic, balanced portrait that draws attention to the subject's face and cultural adornments.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"While technically clean, the video is visually uninteresting due to the lack of a focal point.\", \"reason_2\": \"Despite lower texture quality, the video is engaging and visually complete as a portrait.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 succeeds in creating an emotional connection and a pleasing portrait, whereas Video 1 is an impersonal and awkward crop.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it fulfills the core semantic requirement of the prompt: depicting the woman's face and her 'serene expression'. Video 1, while technically sharp, fails significantly by framing the shot on the neck and chin, completely omitting the subject's face and the emotional connection requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Completeness (Face & Expression)", "reason_1": "Video 1 completely fails to show the subject's face or expression, showing only the neck and chin, which contradicts the prompt's request for a 'serene expression'.", "reason_2": "Video 2 clearly displays the woman's face, eyes, and smile, fulfilling the requirement for a 'serene expression' and 'grace'.", "score_1": 1, "score_2": 9}, {"name": "Attribute Fidelity (Attire & Beads)", "reason_1": "Video 1 renders the beads and fabric patterns with high precision and distinct separation.", "reason_2": "Video 2 includes the correct attributes, but the beads and patterns are slightly less defined and blend together more than in Video 1.", "score_1": 6, "score_2": 4}, {"name": "Prompt Completeness (Framing)", "reason_1": "The framing in Video 1 is too tight, cutting off the most important part of the subject (the face).", "reason_2": "Video 2 uses a standard portrait close-up that appropriately frames the head, hair, and attire as described.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the full scope of the prompt, including the subject's face and expression, whereas Video 1 misses the primary subject entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity & Sharpness", "reason_1": "The skin texture, hair sheen, and fabric weave in Video 1 are rendered with photorealistic sharpness.", "reason_2": "Video 2 appears softer and slightly 'waxy', lacking the high-frequency detail seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability", "reason_1": "Video 1 is extremely stable with no noticeable warping of the static elements.", "reason_2": "Video 2 exhibits some characteristic AI warping and shifting in the background patterns and hair during movement.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Sheen Realism", "reason_1": "Video 1 accurately captures the 'subtle sheen' of the hair and skin requested in the prompt.", "reason_2": "The lighting in Video 2 is flatter, and the skin sheen looks somewhat artificial.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior technical rendering with sharper textures and better stability, despite the semantic failure.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Grace & Strength)", "reason_1": "Without a face, Video 1 cannot convey 'grace', 'strength', or 'serenity'. It is emotionally void.", "reason_2": "Video 2 effectively conveys the requested mood through the subject's warm smile and direct gaze.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The composition is awkward, focusing on the clavicle area, which feels accidental rather than artistic.", "reason_2": "The composition is a classic, balanced portrait that draws attention to the subject's face and cultural adornments.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "While technically clean, the video is visually uninteresting due to the lack of a focal point.", "reason_2": "Despite lower texture quality, the video is engaging and visually complete as a portrait.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 succeeds in creating an emotional connection and a pleasing portrait, whereas Video 1 is an impersonal and awkward crop.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it fulfills the core semantic requirement of the prompt: depicting the woman's face and her 'serene expression'. Video 1, while technically sharp, fails significantly by framing the shot on the neck and chin, completely omitting the subject's face and the emotional connection requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 37.0, "total_score_2": 53.0, "elapsed_sec": 56.717} +{"pair_id": "043_seed_930", "sample_index": 43, "seed": 930, "prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_930_A striking close-up reveals an African woman with.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_930_A striking close-up reveals an African woman with.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_930_A striking close-up reveals an African woman with.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_930_A striking close-up reveals an African woman with.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attribute Fidelity (Braids & Beads)\", \"reason_1\": \"Video 1 renders the braids and beads with high definition, making the 'intricate' and 'meticulous' nature of the craftsmanship visible.\", \"reason_2\": \"Video 2 includes the braids and beads, but the details are often blurred or distorted by the camera movement, reducing the perception of 'craftsmanship'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Expression & Emotional Tone\", \"reason_1\": \"The subject maintains a calm, 'serene' gaze that aligns perfectly with the prompt's request for 'grace and strength'.\", \"reason_2\": \"The subject's expression is somewhat erratic due to the camera shake and morphing, failing to convey the requested serenity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attire Complexity & Texture\", \"reason_1\": \"The 'kaleidoscope of patterns' is rendered with distinct textures and rich colors that remain stable.\", \"reason_2\": \"While the colors are vibrant, the patterns on the clothing warp and shift unnaturally, breaking the illusion of 'traditional craftsmanship'.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 captures the specific emotional and textural requirements of the prompt much better than Video 2. The 'serene expression' and 'meticulously crafted' braids are clearly visible in Video 1, whereas Video 2's chaotic motion obscures these details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Anatomy)\", \"reason_1\": \"The subject's facial structure remains solid and consistent throughout the clip.\", \"reason_2\": \"The subject's face warps significantly; the eyes and mouth distort during movement, creating a disturbing 'uncanny valley' effect.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Persistence (Anti-Flicker)\", \"reason_1\": \"The complex patterns on the clothing remain fixed to the fabric surface without swimming or flickering.\", \"reason_2\": \"The clothing patterns exhibit severe temporal noise, constantly shifting and morphing independently of the fabric's movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The motion is subtle and smooth, maintaining the integrity of the scene.\", \"reason_2\": \"The motion is jerky and disorienting, with the camera movement causing the entire frame to distort.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is stable and coherent. Video 2 exhibits severe 'boiling' textures, facial morphing, and unnatural motion artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is a stable, well-composed close-up that highlights the subject's face and attire effectively.\", \"reason_2\": \"The framing is erratic, with the subject drifting in and out of focus and position in a distracting manner.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Harmony & Color Balance\", \"reason_1\": \"The colors are vibrant yet harmonious, creating a pleasing visual experience.\", \"reason_2\": \"The colors are oversaturated and clash due to the visual noise and artifacts, making the image look messy.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Consistency (Timeless Legacy)\", \"reason_1\": \"The video successfully evokes a sense of dignity and timelessness through its stability and lighting.\", \"reason_2\": \"The glitchy, unstable nature of the video completely breaks the immersion, failing to convey any sense of legacy or grace.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a professional, portrait-like aesthetic that fits the 'timeless cultural legacy' theme. Video 2 feels like a glitchy, low-quality generation due to its chaotic composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior stability, visual fidelity, and adherence to the prompt's request for a 'serene' and 'graceful' presentation. While Video 2 attempts more dynamic motion, it suffers from severe morphological instability, facial distortion, and texture flickering that directly contradict the prompt's demand for 'meticulous craftsmanship' and 'timeless legacy.' Video 1 maintains a consistent, high-quality portrait that effectively showcases the intricate details of the braids and attire without the distracting artifacts present in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attribute Fidelity (Braids & Beads)", "reason_1": "Video 1 renders the braids and beads with high definition, making the 'intricate' and 'meticulous' nature of the craftsmanship visible.", "reason_2": "Video 2 includes the braids and beads, but the details are often blurred or distorted by the camera movement, reducing the perception of 'craftsmanship'.", "score_1": 7, "score_2": 3}, {"name": "Expression & Emotional Tone", "reason_1": "The subject maintains a calm, 'serene' gaze that aligns perfectly with the prompt's request for 'grace and strength'.", "reason_2": "The subject's expression is somewhat erratic due to the camera shake and morphing, failing to convey the requested serenity.", "score_1": 8, "score_2": 2}, {"name": "Attire Complexity & Texture", "reason_1": "The 'kaleidoscope of patterns' is rendered with distinct textures and rich colors that remain stable.", "reason_2": "While the colors are vibrant, the patterns on the clothing warp and shift unnaturally, breaking the illusion of 'traditional craftsmanship'.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 captures the specific emotional and textural requirements of the prompt much better than Video 2. The 'serene expression' and 'meticulously crafted' braids are clearly visible in Video 1, whereas Video 2's chaotic motion obscures these details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Anatomy)", "reason_1": "The subject's facial structure remains solid and consistent throughout the clip.", "reason_2": "The subject's face warps significantly; the eyes and mouth distort during movement, creating a disturbing 'uncanny valley' effect.", "score_1": 9, "score_2": 1}, {"name": "Texture Persistence (Anti-Flicker)", "reason_1": "The complex patterns on the clothing remain fixed to the fabric surface without swimming or flickering.", "reason_2": "The clothing patterns exhibit severe temporal noise, constantly shifting and morphing independently of the fabric's movement.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Coherence", "reason_1": "The motion is subtle and smooth, maintaining the integrity of the scene.", "reason_2": "The motion is jerky and disorienting, with the camera movement causing the entire frame to distort.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the most significant differentiator. Video 1 is stable and coherent. Video 2 exhibits severe 'boiling' textures, facial morphing, and unnatural motion artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is a stable, well-composed close-up that highlights the subject's face and attire effectively.", "reason_2": "The framing is erratic, with the subject drifting in and out of focus and position in a distracting manner.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Harmony & Color Balance", "reason_1": "The colors are vibrant yet harmonious, creating a pleasing visual experience.", "reason_2": "The colors are oversaturated and clash due to the visual noise and artifacts, making the image look messy.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Consistency (Timeless Legacy)", "reason_1": "The video successfully evokes a sense of dignity and timelessness through its stability and lighting.", "reason_2": "The glitchy, unstable nature of the video completely breaks the immersion, failing to convey any sense of legacy or grace.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a professional, portrait-like aesthetic that fits the 'timeless cultural legacy' theme. Video 2 feels like a glitchy, low-quality generation due to its chaotic composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior stability, visual fidelity, and adherence to the prompt's request for a 'serene' and 'graceful' presentation. While Video 2 attempts more dynamic motion, it suffers from severe morphological instability, facial distortion, and texture flickering that directly contradict the prompt's demand for 'meticulous craftsmanship' and 'timeless legacy.' Video 1 maintains a consistent, high-quality portrait that effectively showcases the intricate details of the braids and attire without the distracting artifacts present in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 68.0, "total_score_2": 22.0, "elapsed_sec": 59.478} +{"pair_id": "044_seed_42", "sample_index": 44, "seed": 42, "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Expression Transition (Joy to Contemplation)\", \"reason_1\": \"Video 1 fails to show the smile fading; the subject maintains a static, open-mouthed smile throughout the clip.\", \"reason_2\": \"Video 2 perfectly captures the prompt's instruction: the smile fades, the mouth closes, and the expression shifts to a contemplative look.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Temperature Shift\", \"reason_1\": \"Video 1 attempts a color shift, but it manifests as a harsh, unnatural purple/blue tint overlay rather than a subtle atmospheric change.\", \"reason_2\": \"Video 2 executes a subtle and realistic shift in lighting temperature, moving from warm to cool without breaking the scene's realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Micro-Expression Fidelity (Muscle Play)\", \"reason_1\": \"Video 1 lacks the 'intricate play of facial muscles' requested; the face remains largely frozen in a single state.\", \"reason_2\": \"Video 2 showcases realistic muscle relaxation around the eyes and mouth, accurately depicting the transition from a smile to a neutral expression.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 followed the prompt's narrative arc of changing expressions and lighting, whereas Video 1 failed to execute the 'fading smile' and 'contemplation' phases.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Photorealism\", \"reason_1\": \"The skin in Video 1 appears overly smooth, waxy, and plastic, lacking natural pores or imperfections.\", \"reason_2\": \"Video 2 renders skin with high fidelity, showing realistic pores, wrinkles, and texture variations consistent with a high-quality close-up.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Grading Naturalism\", \"reason_1\": \"The color grading in Video 1 is jarring, with the blue light looking like a digital filter rather than environmental lighting.\", \"reason_2\": \"Video 2 maintains a cinematic and natural look, with the lighting changes affecting the skin tones realistically.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Anatomical Stability (Teeth & Mouth)\", \"reason_1\": \"The teeth in Video 1 appear slightly merged and lack definition, contributing to the artificial look.\", \"reason_2\": \"Video 2 maintains anatomical consistency in the teeth and lips throughout the complex motion of closing the mouth.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates high-end photorealism with convincing skin texture, while Video 1 suffers from a plastic, artificial appearance.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"Video 1 fails to evoke the requested mood shift, remaining static and emotionally flat.\", \"reason_2\": \"Video 2 effectively conveys the transition from joy to a more serious, contemplative mood, creating a stronger emotional connection.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Lighting Aesthetics\", \"reason_1\": \"The lighting in Video 1 is harsh and unflattering, detracting from the aesthetic appeal.\", \"reason_2\": \"Video 2 uses lighting effectively to sculpt the face and enhance the mood, resembling professional cinematography.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 feels like a looped fragment with no beginning or end.\", \"reason_2\": \"Video 2 has a clear narrative arc (start, transition, end) that aligns perfectly with the prompt's storytelling intent.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully conveys the emotional shift requested by the prompt, creating a complete micro-narrative.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the complex temporal requirements of the prompt. It successfully depicts the transition from a radiant smile to a contemplative expression, accompanied by a natural shift in lighting temperature. Video 1 fails to show the expression fading, maintaining a static smile throughout, and applies the lighting change as an unnatural, jarring color filter rather than a subtle atmospheric shift.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Expression Transition (Joy to Contemplation)", "reason_1": "Video 1 fails to show the smile fading; the subject maintains a static, open-mouthed smile throughout the clip.", "reason_2": "Video 2 perfectly captures the prompt's instruction: the smile fades, the mouth closes, and the expression shifts to a contemplative look.", "score_1": 1, "score_2": 9}, {"name": "Lighting Temperature Shift", "reason_1": "Video 1 attempts a color shift, but it manifests as a harsh, unnatural purple/blue tint overlay rather than a subtle atmospheric change.", "reason_2": "Video 2 executes a subtle and realistic shift in lighting temperature, moving from warm to cool without breaking the scene's realism.", "score_1": 3, "score_2": 7}, {"name": "Micro-Expression Fidelity (Muscle Play)", "reason_1": "Video 1 lacks the 'intricate play of facial muscles' requested; the face remains largely frozen in a single state.", "reason_2": "Video 2 showcases realistic muscle relaxation around the eyes and mouth, accurately depicting the transition from a smile to a neutral expression.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 followed the prompt's narrative arc of changing expressions and lighting, whereas Video 1 failed to execute the 'fading smile' and 'contemplation' phases.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Photorealism", "reason_1": "The skin in Video 1 appears overly smooth, waxy, and plastic, lacking natural pores or imperfections.", "reason_2": "Video 2 renders skin with high fidelity, showing realistic pores, wrinkles, and texture variations consistent with a high-quality close-up.", "score_1": 2, "score_2": 8}, {"name": "Color Grading Naturalism", "reason_1": "The color grading in Video 1 is jarring, with the blue light looking like a digital filter rather than environmental lighting.", "reason_2": "Video 2 maintains a cinematic and natural look, with the lighting changes affecting the skin tones realistically.", "score_1": 2, "score_2": 8}, {"name": "Anatomical Stability (Teeth & Mouth)", "reason_1": "The teeth in Video 1 appear slightly merged and lack definition, contributing to the artificial look.", "reason_2": "Video 2 maintains anatomical consistency in the teeth and lips throughout the complex motion of closing the mouth.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates high-end photorealism with convincing skin texture, while Video 1 suffers from a plastic, artificial appearance.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Mood", "reason_1": "Video 1 fails to evoke the requested mood shift, remaining static and emotionally flat.", "reason_2": "Video 2 effectively conveys the transition from joy to a more serious, contemplative mood, creating a stronger emotional connection.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Lighting Aesthetics", "reason_1": "The lighting in Video 1 is harsh and unflattering, detracting from the aesthetic appeal.", "reason_2": "Video 2 uses lighting effectively to sculpt the face and enhance the mood, resembling professional cinematography.", "score_1": 3, "score_2": 7}, {"name": "Narrative Completeness", "reason_1": "Video 1 feels like a looped fragment with no beginning or end.", "reason_2": "Video 2 has a clear narrative arc (start, transition, end) that aligns perfectly with the prompt's storytelling intent.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully conveys the emotional shift requested by the prompt, creating a complete micro-narrative.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the complex temporal requirements of the prompt. It successfully depicts the transition from a radiant smile to a contemplative expression, accompanied by a natural shift in lighting temperature. Video 1 fails to show the expression fading, maintaining a static smile throughout, and applies the lighting change as an unnatural, jarring color filter rather than a subtle atmospheric shift.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 20.0, "total_score_2": 70.0, "elapsed_sec": 55.734} +{"pair_id": "044_seed_310", "sample_index": 44, "seed": 310, "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_310_A close-up shot captures a persons face initially.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_310_A close-up shot captures a persons face initially.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_310_A close-up shot captures a persons face initially.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_310_A close-up shot captures a persons face initially.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Expression Transition (Joy to Contemplation)\", \"reason_1\": \"Video 1 perfectly captures the prompt's instruction to have the smile fade and lips turn downward, ending in a contemplative expression.\", \"reason_2\": \"Video 2 completely ignores the instruction to fade the smile; the subject maintains a wide, toothy grin throughout the entire clip.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Lighting Temperature Shift\", \"reason_1\": \"Video 1 executes a clear transition from warm, golden lighting to a cooler, bluish tone as requested.\", \"reason_2\": \"Video 2 exhibits erratic lighting changes with green and purple color casts that do not follow the 'warm to cool' narrative arc.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Micro-Expression Detail (Muscle Play)\", \"reason_1\": \"Video 1 accurately renders the 'intricate play of facial muscles,' specifically the relaxation of the cheeks and the closing of the eyes.\", \"reason_2\": \"Video 2 lacks the subtle muscle shifts requested, showing only a static, high-energy expression with no relaxation.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 followed the prompt's narrative arc perfectly, transitioning from a smile to a contemplative look with the correct lighting shift. Video 2 failed to change the expression or the lighting temperature meaningfully.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Photorealism\", \"reason_1\": \"Video 1 features highly realistic skin texture, pores, and natural lighting interaction.\", \"reason_2\": \"Video 2 has a waxy, over-smoothed appearance with unnatural artifacts (e.g., the dark spots on the face) that look like generation errors.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Stability & Consistency\", \"reason_1\": \"The color grading in Video 1 is stable and intentional, shifting smoothly.\", \"reason_2\": \"Video 2 suffers from severe color instability, with the face flashing green and purple hues randomly.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity (Eyes & Teeth)\", \"reason_1\": \"The facial features in Video 1 remain anatomically correct and consistent throughout the motion.\", \"reason_2\": \"Video 2 shows slight warping in the teeth and eyes, contributing to an 'uncanny valley' effect.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high-end photorealism with natural skin texture and lighting. Video 2 suffers from severe artifacts, unnatural skin rendering, and color instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Arc & Mood\", \"reason_1\": \"Video 1 effectively conveys the shift in mood from happiness to introspection, creating a complete micro-narrative.\", \"reason_2\": \"Video 2 has no emotional arc; the mood remains static and somewhat manic, failing to evoke contemplation.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Cinematic Lighting Aesthetics\", \"reason_1\": \"The lighting in Video 1 is soft and cinematic, enhancing the emotional weight of the scene.\", \"reason_2\": \"The lighting in Video 2 is harsh and erratic, detracting significantly from the aesthetic appeal.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Framing & Composition\", \"reason_1\": \"Video 1 maintains a balanced close-up that keeps the focus on the changing expression.\", \"reason_2\": \"Video 2 is framed a bit too tightly, cutting off parts of the head awkwardly, though it technically meets the 'close-up' criteria.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully tells the short emotional story requested by the prompt. Video 2 lacks narrative progression and aesthetic coherence.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a superior generation that flawlessly executes the complex temporal instructions of the prompt. It accurately depicts the transition from a radiant smile to a contemplative expression, synchronized perfectly with the requested shift in lighting temperature. Video 2 fails to execute the narrative arc, maintaining a static, intense smile throughout and suffering from significant color artifacts and lower visual fidelity.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Expression Transition (Joy to Contemplation)", "reason_1": "Video 1 perfectly captures the prompt's instruction to have the smile fade and lips turn downward, ending in a contemplative expression.", "reason_2": "Video 2 completely ignores the instruction to fade the smile; the subject maintains a wide, toothy grin throughout the entire clip.", "score_1": 10, "score_2": 0}, {"name": "Lighting Temperature Shift", "reason_1": "Video 1 executes a clear transition from warm, golden lighting to a cooler, bluish tone as requested.", "reason_2": "Video 2 exhibits erratic lighting changes with green and purple color casts that do not follow the 'warm to cool' narrative arc.", "score_1": 9, "score_2": 1}, {"name": "Micro-Expression Detail (Muscle Play)", "reason_1": "Video 1 accurately renders the 'intricate play of facial muscles,' specifically the relaxation of the cheeks and the closing of the eyes.", "reason_2": "Video 2 lacks the subtle muscle shifts requested, showing only a static, high-energy expression with no relaxation.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 followed the prompt's narrative arc perfectly, transitioning from a smile to a contemplative look with the correct lighting shift. Video 2 failed to change the expression or the lighting temperature meaningfully.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Photorealism", "reason_1": "Video 1 features highly realistic skin texture, pores, and natural lighting interaction.", "reason_2": "Video 2 has a waxy, over-smoothed appearance with unnatural artifacts (e.g., the dark spots on the face) that look like generation errors.", "score_1": 9, "score_2": 1}, {"name": "Color Stability & Consistency", "reason_1": "The color grading in Video 1 is stable and intentional, shifting smoothly.", "reason_2": "Video 2 suffers from severe color instability, with the face flashing green and purple hues randomly.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity (Eyes & Teeth)", "reason_1": "The facial features in Video 1 remain anatomically correct and consistent throughout the motion.", "reason_2": "Video 2 shows slight warping in the teeth and eyes, contributing to an 'uncanny valley' effect.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high-end photorealism with natural skin texture and lighting. Video 2 suffers from severe artifacts, unnatural skin rendering, and color instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Arc & Mood", "reason_1": "Video 1 effectively conveys the shift in mood from happiness to introspection, creating a complete micro-narrative.", "reason_2": "Video 2 has no emotional arc; the mood remains static and somewhat manic, failing to evoke contemplation.", "score_1": 10, "score_2": 0}, {"name": "Cinematic Lighting Aesthetics", "reason_1": "The lighting in Video 1 is soft and cinematic, enhancing the emotional weight of the scene.", "reason_2": "The lighting in Video 2 is harsh and erratic, detracting significantly from the aesthetic appeal.", "score_1": 9, "score_2": 1}, {"name": "Framing & Composition", "reason_1": "Video 1 maintains a balanced close-up that keeps the focus on the changing expression.", "reason_2": "Video 2 is framed a bit too tightly, cutting off parts of the head awkwardly, though it technically meets the 'close-up' criteria.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully tells the short emotional story requested by the prompt. Video 2 lacks narrative progression and aesthetic coherence.", "cat_winner": "Video 1"}], "reason": "Video 1 is a superior generation that flawlessly executes the complex temporal instructions of the prompt. It accurately depicts the transition from a radiant smile to a contemplative expression, synchronized perfectly with the requested shift in lighting temperature. Video 2 fails to execute the narrative arc, maintaining a static, intense smile throughout and suffering from significant color artifacts and lower visual fidelity.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 80.0, "total_score_2": 10.0, "elapsed_sec": 57.776} +{"pair_id": "044_seed_930", "sample_index": 44, "seed": 930, "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Expression Transition (Joy to Contemplation)\", \"reason_1\": \"Video 1 maintains a static, high-energy smile throughout the entire clip, completely failing to depict the smile fading or the expression turning to contemplation.\", \"reason_2\": \"Video 2 perfectly captures the prompt's instruction: the subject starts with a smile, which gradually fades, the mouth corners drop, and the expression shifts to a somber, contemplative look.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Temperature Shift (Warm to Cool)\", \"reason_1\": \"Video 1 exhibits erratic lighting changes with random flashes of green and blue, which appear as artifacts rather than a deliberate atmospheric shift.\", \"reason_2\": \"Video 2 executes a smooth, cinematic transition from warm, golden lighting to a cooler, bluish tone, exactly as requested to emphasize the mood change.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Micro-Expression Fidelity (Muscle Play)\", \"reason_1\": \"Video 1 shows a fixed expression with little variation in facial muscle dynamics.\", \"reason_2\": \"Video 2 showcases the 'intricate play of facial muscles' mentioned in the prompt, specifically the relaxation of the cheek muscles and the subtle downturn of the lips.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the prompt's narrative arc perfectly, transitioning from a smile to a contemplative look with the correct lighting shift. Video 1 failed to change the expression or the lighting meaningfully.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Detail Rendering\", \"reason_1\": \"The skin texture in Video 1 appears somewhat smoothed and plastic, lacking the high-frequency detail seen in the other video.\", \"reason_2\": \"Video 2 renders skin pores, imperfections, and lighting interactions with high fidelity, creating a more photorealistic appearance.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Temporal Stability (Lighting Consistency)\", \"reason_1\": \"Video 1 suffers from distracting temporal instability, with the background and lighting flashing colors (green/blue) randomly.\", \"reason_2\": \"Video 2 maintains a stable image with a smooth, continuous evolution of lighting and color temperature.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion in Video 1 is minimal and feels slightly stiff, lacking the subtle head movements associated with a natural portrait.\", \"reason_2\": \"Video 2 includes natural head movements and blinking that accompany the change in expression, enhancing the realism.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior texture rendering and temporal stability. Video 1 suffers from significant lighting flicker and lower textural detail.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"Video 1 fails to evoke the requested emotional shift, remaining stuck in a single, unchanging emotional state.\", \"reason_2\": \"Video 2 effectively conveys the transition from happiness to a more serious, pensive mood, creating a strong emotional narrative.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Lighting Execution\", \"reason_1\": \"The lighting in Video 1 is harsh and inconsistent, detracting from the aesthetic appeal.\", \"reason_2\": \"Video 2 uses the lighting change artistically to support the narrative, creating a visually pleasing and coherent aesthetic.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Framing & Composition\", \"reason_1\": \"Video 1 uses a very tight crop that cuts off parts of the face, which is acceptable but less balanced.\", \"reason_2\": \"Video 2 uses a standard close-up framing that allows for better visibility of the facial features and the lighting effects.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 successfully tells the micro-story of changing emotions through visual cues, whereas Video 1 lacks narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the complex temporal and emotional transition required by the prompt. It successfully shifts the lighting from warm to cool and depicts the subject's expression fading from a smile to a contemplative look. Video 1 fails to execute the narrative arc, maintaining a static smile throughout and suffering from erratic, artifact-heavy lighting changes.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Expression Transition (Joy to Contemplation)", "reason_1": "Video 1 maintains a static, high-energy smile throughout the entire clip, completely failing to depict the smile fading or the expression turning to contemplation.", "reason_2": "Video 2 perfectly captures the prompt's instruction: the subject starts with a smile, which gradually fades, the mouth corners drop, and the expression shifts to a somber, contemplative look.", "score_1": 1, "score_2": 9}, {"name": "Lighting Temperature Shift (Warm to Cool)", "reason_1": "Video 1 exhibits erratic lighting changes with random flashes of green and blue, which appear as artifacts rather than a deliberate atmospheric shift.", "reason_2": "Video 2 executes a smooth, cinematic transition from warm, golden lighting to a cooler, bluish tone, exactly as requested to emphasize the mood change.", "score_1": 2, "score_2": 8}, {"name": "Micro-Expression Fidelity (Muscle Play)", "reason_1": "Video 1 shows a fixed expression with little variation in facial muscle dynamics.", "reason_2": "Video 2 showcases the 'intricate play of facial muscles' mentioned in the prompt, specifically the relaxation of the cheek muscles and the subtle downturn of the lips.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the prompt's narrative arc perfectly, transitioning from a smile to a contemplative look with the correct lighting shift. Video 1 failed to change the expression or the lighting meaningfully.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Detail Rendering", "reason_1": "The skin texture in Video 1 appears somewhat smoothed and plastic, lacking the high-frequency detail seen in the other video.", "reason_2": "Video 2 renders skin pores, imperfections, and lighting interactions with high fidelity, creating a more photorealistic appearance.", "score_1": 4, "score_2": 6}, {"name": "Temporal Stability (Lighting Consistency)", "reason_1": "Video 1 suffers from distracting temporal instability, with the background and lighting flashing colors (green/blue) randomly.", "reason_2": "Video 2 maintains a stable image with a smooth, continuous evolution of lighting and color temperature.", "score_1": 2, "score_2": 8}, {"name": "Motion Naturalness", "reason_1": "The motion in Video 1 is minimal and feels slightly stiff, lacking the subtle head movements associated with a natural portrait.", "reason_2": "Video 2 includes natural head movements and blinking that accompany the change in expression, enhancing the realism.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior texture rendering and temporal stability. Video 1 suffers from significant lighting flicker and lower textural detail.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Mood", "reason_1": "Video 1 fails to evoke the requested emotional shift, remaining stuck in a single, unchanging emotional state.", "reason_2": "Video 2 effectively conveys the transition from happiness to a more serious, pensive mood, creating a strong emotional narrative.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Lighting Execution", "reason_1": "The lighting in Video 1 is harsh and inconsistent, detracting from the aesthetic appeal.", "reason_2": "Video 2 uses the lighting change artistically to support the narrative, creating a visually pleasing and coherent aesthetic.", "score_1": 3, "score_2": 7}, {"name": "Framing & Composition", "reason_1": "Video 1 uses a very tight crop that cuts off parts of the face, which is acceptable but less balanced.", "reason_2": "Video 2 uses a standard close-up framing that allows for better visibility of the facial features and the lighting effects.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 successfully tells the micro-story of changing emotions through visual cues, whereas Video 1 lacks narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the complex temporal and emotional transition required by the prompt. It successfully shifts the lighting from warm to cool and depicts the subject's expression fading from a smile to a contemplative look. Video 1 fails to execute the narrative arc, maintaining a static smile throughout and suffering from erratic, artifact-heavy lighting changes.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 57.794} +{"pair_id": "045_seed_42", "sample_index": 45, "seed": 42, "prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Hair Color & Eye Details)\", \"reason_1\": \"Video 1 renders the woman with dark brown hair rather than the requested 'auburn', and the man's eyes appear lighter than the requested 'deep brown'.\", \"reason_2\": \"Video 2 correctly renders the woman's hair with a distinct auburn tone and the man's eyes as a deep, dark shade, aligning better with the text description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Expression Nuance (Curiosity, Warmth, Intrigue)\", \"reason_1\": \"Video 1 perfectly captures the 'hint of a smile' and 'warmth' in the man's expression, creating a genuine sense of connection.\", \"reason_2\": \"Video 2's expressions are stiff and somewhat intense; the man looks more serious than warm, and the woman's gaze feels vacant rather than intrigued.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Bustling Square & Passersby)\", \"reason_1\": \"Video 1 depicts a convincing city square with natural-looking, albeit blurred, passersby that fit the depth of field.\", \"reason_2\": \"Video 2 includes the square and passersby, but the background figures are distorted and distracting, detracting from the semantic accuracy of a 'bustling' but 'softly blurred' scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 edges out Video 1 in this category strictly due to attribute fidelity. It correctly renders the woman's 'auburn' hair and the man's 'deep brown' eyes, whereas Video 1 depicts the woman with dark brown hair and the man with lighter eyes. However, Video 1 captures the emotional semantics (warmth, smile) better.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Background Morphological Stability\", \"reason_1\": \"The background elements in Video 1 remain stable and consistent with the camera's focus.\", \"reason_2\": \"Video 2 exhibits severe hallucination and morphing in the background figures, who appear to melt or glitch, breaking the illusion of reality.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Photorealism (Skin & Texture)\", \"reason_1\": \"Video 1 features highly realistic skin texture, lighting interaction, and natural micro-movements.\", \"reason_2\": \"Video 2 has a 'waxy' or plastic appearance common in lower-quality generations, particularly on the woman's face, making it look like a 3D render rather than video.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The subtle head movements and breathing in Video 1 feel organic and human.\", \"reason_2\": \"The motion in Video 2 is stiff and robotic, lacking the fluidity of real human interaction.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior technical execution. The subjects look photorealistic with natural skin textures, whereas Video 2 suffers from a 'plastic' AI look and significant morphing artifacts in the background.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Connection & Intimacy\", \"reason_1\": \"The video successfully conveys a 'silent conversation' and a 'profound moment' through the actors' chemistry and soft lighting.\", \"reason_2\": \"The connection feels artificial and cold due to the stiff expressions and lack of genuine eye contact chemistry.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting Atmosphere (Golden Afternoon Glow)\", \"reason_1\": \"Video 1 utilizes a warm, soft lighting scheme that perfectly matches the 'golden afternoon' description.\", \"reason_2\": \"Video 2 has harsher, flatter lighting that fails to evoke the specific atmospheric glow requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Depth of Field\", \"reason_1\": \"The framing in Video 1 is balanced and the bokeh effect is aesthetically pleasing, drawing focus to the faces.\", \"reason_2\": \"While the framing is similar, the distracting artifacts in the background ruin the intended cinematic depth of field.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 excels in creating the requested mood. The lighting, composition, and acting combine to create a 'fleeting, yet profound' moment, whereas Video 2 feels emotionally flat and technically flawed.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism, natural motion, and successful capture of the emotional nuance requested. While Video 2 adheres more strictly to specific color attributes (auburn hair), it suffers from significant background artifacts (morphing figures) and a waxy, artificial aesthetic that breaks immersion. Video 1 delivers a cinematic, believable, and emotionally resonant scene that aligns perfectly with the atmospheric requirements of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Hair Color & Eye Details)", "reason_1": "Video 1 renders the woman with dark brown hair rather than the requested 'auburn', and the man's eyes appear lighter than the requested 'deep brown'.", "reason_2": "Video 2 correctly renders the woman's hair with a distinct auburn tone and the man's eyes as a deep, dark shade, aligning better with the text description.", "score_1": 3, "score_2": 7}, {"name": "Expression Nuance (Curiosity, Warmth, Intrigue)", "reason_1": "Video 1 perfectly captures the 'hint of a smile' and 'warmth' in the man's expression, creating a genuine sense of connection.", "reason_2": "Video 2's expressions are stiff and somewhat intense; the man looks more serious than warm, and the woman's gaze feels vacant rather than intrigued.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Bustling Square & Passersby)", "reason_1": "Video 1 depicts a convincing city square with natural-looking, albeit blurred, passersby that fit the depth of field.", "reason_2": "Video 2 includes the square and passersby, but the background figures are distorted and distracting, detracting from the semantic accuracy of a 'bustling' but 'softly blurred' scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 edges out Video 1 in this category strictly due to attribute fidelity. It correctly renders the woman's 'auburn' hair and the man's 'deep brown' eyes, whereas Video 1 depicts the woman with dark brown hair and the man with lighter eyes. However, Video 1 captures the emotional semantics (warmth, smile) better.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Background Morphological Stability", "reason_1": "The background elements in Video 1 remain stable and consistent with the camera's focus.", "reason_2": "Video 2 exhibits severe hallucination and morphing in the background figures, who appear to melt or glitch, breaking the illusion of reality.", "score_1": 9, "score_2": 1}, {"name": "Subject Photorealism (Skin & Texture)", "reason_1": "Video 1 features highly realistic skin texture, lighting interaction, and natural micro-movements.", "reason_2": "Video 2 has a 'waxy' or plastic appearance common in lower-quality generations, particularly on the woman's face, making it look like a 3D render rather than video.", "score_1": 8, "score_2": 2}, {"name": "Motion Naturalness", "reason_1": "The subtle head movements and breathing in Video 1 feel organic and human.", "reason_2": "The motion in Video 2 is stiff and robotic, lacking the fluidity of real human interaction.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior technical execution. The subjects look photorealistic with natural skin textures, whereas Video 2 suffers from a 'plastic' AI look and significant morphing artifacts in the background.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Connection & Intimacy", "reason_1": "The video successfully conveys a 'silent conversation' and a 'profound moment' through the actors' chemistry and soft lighting.", "reason_2": "The connection feels artificial and cold due to the stiff expressions and lack of genuine eye contact chemistry.", "score_1": 9, "score_2": 1}, {"name": "Lighting Atmosphere (Golden Afternoon Glow)", "reason_1": "Video 1 utilizes a warm, soft lighting scheme that perfectly matches the 'golden afternoon' description.", "reason_2": "Video 2 has harsher, flatter lighting that fails to evoke the specific atmospheric glow requested.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Depth of Field", "reason_1": "The framing in Video 1 is balanced and the bokeh effect is aesthetically pleasing, drawing focus to the faces.", "reason_2": "While the framing is similar, the distracting artifacts in the background ruin the intended cinematic depth of field.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 excels in creating the requested mood. The lighting, composition, and acting combine to create a 'fleeting, yet profound' moment, whereas Video 2 feels emotionally flat and technically flawed.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism, natural motion, and successful capture of the emotional nuance requested. While Video 2 adheres more strictly to specific color attributes (auburn hair), it suffers from significant background artifacts (morphing figures) and a waxy, artificial aesthetic that breaks immersion. Video 1 delivers a cinematic, believable, and emotionally resonant scene that aligns perfectly with the atmospheric requirements of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 64.498} +{"pair_id": "045_seed_310", "sample_index": 45, "seed": 310, "prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_310_In a bustling city square amidst the vibrant energ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_310_In a bustling city square amidst the vibrant energ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_310_In a bustling city square amidst the vibrant energ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_310_In a bustling city square amidst the vibrant energ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Eye Color & Hair)\", \"reason_1\": \"Video 1 correctly renders the man's eyes as a deep shade of brown and the woman's hair as auburn.\", \"reason_2\": \"Video 2 fails the specific instruction for the man's eyes, rendering them as light blue/grey instead of the requested deep brown.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Nuance (Curiosity & Warmth)\", \"reason_1\": \"The man's expression in Video 1 is intense and somewhat aggressive, lacking the requested 'warmth' and 'curiosity'.\", \"reason_2\": \"Video 2 perfectly captures the 'curiosity and warmth' in the man's gaze and the 'intrigue' in the woman's, aligning well with the emotional prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (City Square)\", \"reason_1\": \"Video 1 depicts a background that resembles a stone alleyway or narrow street rather than a bustling square.\", \"reason_2\": \"Video 2 provides a background that feels more open and populated, better fitting the description of a 'bustling city square'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 strictly adheres to the specific physical attribute requested for the man's eyes (deep brown), whereas Video 2 hallucinates blue/grey eyes. However, Video 2 captures the emotional semantics better.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity (Skin Texture & Definition)\", \"reason_1\": \"The skin texture in Video 1 appears waxy, over-smoothed, and artificial, lacking high-definition detail.\", \"reason_2\": \"Video 2 displays exceptional high-definition detail, with realistic skin pores, lighting interaction, and hair texture.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability (Facial Structure)\", \"reason_1\": \"Video 1 exhibits noticeable warping and shifting of facial features (especially the man's jaw and eyes) during movement.\", \"reason_2\": \"Video 2 maintains excellent structural integrity of the faces throughout the clip with minimal morphing.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The movement in Video 1 feels slightly robotic and stiff.\", \"reason_2\": \"Video 2 features subtle, natural micro-movements (blinking, slight head turns) that enhance realism.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is vastly superior in technical execution, offering photorealistic skin textures and stable motion, whereas Video 1 suffers from the 'plastic' look common in older generation models.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Connection\", \"reason_1\": \"The connection feels forced and the intensity is off-putting rather than profound.\", \"reason_2\": \"The video successfully conveys a 'silent conversation' and a genuine romantic connection through the subjects' chemistry.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Atmosphere (Golden Glow)\", \"reason_1\": \"The lighting is somewhat flat and harsh, missing the 'gentle glow' requested.\", \"reason_2\": \"Video 2 utilizes soft, warm lighting that effectively creates the 'golden afternoon' atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is tight but feels claustrophobic due to the lack of depth.\", \"reason_2\": \"The composition uses depth of field effectively to isolate the subjects while keeping the context visible, creating a more cinematic look.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully evokes the 'profound moment' and 'golden glow' described in the prompt, creating a cinematic and romantic atmosphere that Video 1 fails to achieve.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly superior visual fidelity, photorealism, and emotional resonance. While Video 1 strictly adheres to the 'brown eyes' constraint, it suffers from waxy skin textures, morphological instability, and an intense, almost aggressive expression that contradicts the requested 'warmth'. Video 2 captures the 'golden afternoon light' and the 'subtle nuances' of the connection with cinematic quality, making it the better overall generation despite the eye color discrepancy.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Eye Color & Hair)", "reason_1": "Video 1 correctly renders the man's eyes as a deep shade of brown and the woman's hair as auburn.", "reason_2": "Video 2 fails the specific instruction for the man's eyes, rendering them as light blue/grey instead of the requested deep brown.", "score_1": 8, "score_2": 2}, {"name": "Expression Nuance (Curiosity & Warmth)", "reason_1": "The man's expression in Video 1 is intense and somewhat aggressive, lacking the requested 'warmth' and 'curiosity'.", "reason_2": "Video 2 perfectly captures the 'curiosity and warmth' in the man's gaze and the 'intrigue' in the woman's, aligning well with the emotional prompt.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (City Square)", "reason_1": "Video 1 depicts a background that resembles a stone alleyway or narrow street rather than a bustling square.", "reason_2": "Video 2 provides a background that feels more open and populated, better fitting the description of a 'bustling city square'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 strictly adheres to the specific physical attribute requested for the man's eyes (deep brown), whereas Video 2 hallucinates blue/grey eyes. However, Video 2 captures the emotional semantics better.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity (Skin Texture & Definition)", "reason_1": "The skin texture in Video 1 appears waxy, over-smoothed, and artificial, lacking high-definition detail.", "reason_2": "Video 2 displays exceptional high-definition detail, with realistic skin pores, lighting interaction, and hair texture.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability (Facial Structure)", "reason_1": "Video 1 exhibits noticeable warping and shifting of facial features (especially the man's jaw and eyes) during movement.", "reason_2": "Video 2 maintains excellent structural integrity of the faces throughout the clip with minimal morphing.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness", "reason_1": "The movement in Video 1 feels slightly robotic and stiff.", "reason_2": "Video 2 features subtle, natural micro-movements (blinking, slight head turns) that enhance realism.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is vastly superior in technical execution, offering photorealistic skin textures and stable motion, whereas Video 1 suffers from the 'plastic' look common in older generation models.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Connection", "reason_1": "The connection feels forced and the intensity is off-putting rather than profound.", "reason_2": "The video successfully conveys a 'silent conversation' and a genuine romantic connection through the subjects' chemistry.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Atmosphere (Golden Glow)", "reason_1": "The lighting is somewhat flat and harsh, missing the 'gentle glow' requested.", "reason_2": "Video 2 utilizes soft, warm lighting that effectively creates the 'golden afternoon' atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition", "reason_1": "The framing is tight but feels claustrophobic due to the lack of depth.", "reason_2": "The composition uses depth of field effectively to isolate the subjects while keeping the context visible, creating a more cinematic look.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully evokes the 'profound moment' and 'golden glow' described in the prompt, creating a cinematic and romantic atmosphere that Video 1 fails to achieve.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly superior visual fidelity, photorealism, and emotional resonance. While Video 1 strictly adheres to the 'brown eyes' constraint, it suffers from waxy skin textures, morphological instability, and an intense, almost aggressive expression that contradicts the requested 'warmth'. Video 2 captures the 'golden afternoon light' and the 'subtle nuances' of the connection with cinematic quality, making it the better overall generation despite the eye color discrepancy.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 33.0, "total_score_2": 57.0, "elapsed_sec": 58.238} +{"pair_id": "045_seed_930", "sample_index": 45, "seed": 930, "prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Eye Color & Hair)\", \"reason_1\": \"Video 1 correctly renders the man with dark, brownish eyes as requested. The woman's hair is also consistent with the prompt.\", \"reason_2\": \"Video 2 fails significantly on the specific instruction for 'deep shade of brown' eyes, rendering the man with unnatural, glowing green/hazel eyes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Nuance (Curiosity & Warmth)\", \"reason_1\": \"The man's expression in Video 1 is intense and focused, aligning well with 'curiosity and warmth'.\", \"reason_2\": \"The man's expression in Video 2 is marred by the unnatural eye color, making him look more alien or intense rather than warm.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Bustling Square)\", \"reason_1\": \"Video 1 successfully depicts a blurred background with people moving, suggesting a 'bustling' square.\", \"reason_2\": \"Video 2 also successfully renders the background context with appropriate depth of field and crowd suggestions.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres much closer to the specific physical attributes requested, particularly the man's eye color, which is a key focal point of the prompt.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Plausibility (Eyes & Face)\", \"reason_1\": \"The facial features in Video 1 are anatomically correct and realistic.\", \"reason_2\": \"Video 2 suffers from a severe hallucination artifact where the man's irises are glowing and unnaturally colored, breaking realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 maintains high definition on skin textures and hair strands.\", \"reason_2\": \"Video 2 is also high definition, but the skin texture on the man looks slightly more plastic/waxy compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The subtle head movements and blinking in Video 1 feel organic.\", \"reason_2\": \"The motion in Video 2 is acceptable, but the static, glowing nature of the eyes makes the head movement feel slightly stiff.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 maintains a higher level of photorealism. Video 2 is heavily penalized for the anatomical artifact regarding the man's eyes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Connection\", \"reason_1\": \"The gaze in Video 1 feels intimate and human, effectively conveying the 'silent conversation'.\", \"reason_2\": \"The connection in Video 2 is disrupted by the distraction of the man's unnatural eyes, failing to convey 'warmth'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Atmosphere (Golden Glow)\", \"reason_1\": \"Video 1 captures the 'golden afternoon light' effectively on the subjects' faces.\", \"reason_2\": \"Video 2 also utilizes the lighting well, creating a similar atmospheric glow.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing focuses well on the faces, adhering to the 'high definition' focus requirement.\", \"reason_2\": \"The composition is nearly identical to Video 1 and equally effective in framing the subjects.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 successfully conveys the emotional connection requested. The aesthetic flaw in Video 2 (the eyes) breaks the immersion and mood.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner primarily due to superior semantic accuracy regarding the specific physical attributes requested in the prompt. The prompt explicitly calls for the man's eyes to be a 'deep shade of brown' conveying 'warmth'. Video 1 renders this correctly, whereas Video 2 generates unnatural, glowing green/hazel eyes that break the realism and contradict the prompt. Video 1 also maintains better anatomical plausibility and a more natural emotional connection between the subjects.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Eye Color & Hair)", "reason_1": "Video 1 correctly renders the man with dark, brownish eyes as requested. The woman's hair is also consistent with the prompt.", "reason_2": "Video 2 fails significantly on the specific instruction for 'deep shade of brown' eyes, rendering the man with unnatural, glowing green/hazel eyes.", "score_1": 8, "score_2": 2}, {"name": "Expression Nuance (Curiosity & Warmth)", "reason_1": "The man's expression in Video 1 is intense and focused, aligning well with 'curiosity and warmth'.", "reason_2": "The man's expression in Video 2 is marred by the unnatural eye color, making him look more alien or intense rather than warm.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Bustling Square)", "reason_1": "Video 1 successfully depicts a blurred background with people moving, suggesting a 'bustling' square.", "reason_2": "Video 2 also successfully renders the background context with appropriate depth of field and crowd suggestions.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres much closer to the specific physical attributes requested, particularly the man's eye color, which is a key focal point of the prompt.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Plausibility (Eyes & Face)", "reason_1": "The facial features in Video 1 are anatomically correct and realistic.", "reason_2": "Video 2 suffers from a severe hallucination artifact where the man's irises are glowing and unnaturally colored, breaking realism.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 maintains high definition on skin textures and hair strands.", "reason_2": "Video 2 is also high definition, but the skin texture on the man looks slightly more plastic/waxy compared to Video 1.", "score_1": 6, "score_2": 4}, {"name": "Motion Naturalness", "reason_1": "The subtle head movements and blinking in Video 1 feel organic.", "reason_2": "The motion in Video 2 is acceptable, but the static, glowing nature of the eyes makes the head movement feel slightly stiff.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 maintains a higher level of photorealism. Video 2 is heavily penalized for the anatomical artifact regarding the man's eyes.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Connection", "reason_1": "The gaze in Video 1 feels intimate and human, effectively conveying the 'silent conversation'.", "reason_2": "The connection in Video 2 is disrupted by the distraction of the man's unnatural eyes, failing to convey 'warmth'.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Atmosphere (Golden Glow)", "reason_1": "Video 1 captures the 'golden afternoon light' effectively on the subjects' faces.", "reason_2": "Video 2 also utilizes the lighting well, creating a similar atmospheric glow.", "score_1": 5, "score_2": 5}, {"name": "Composition & Framing", "reason_1": "The framing focuses well on the faces, adhering to the 'high definition' focus requirement.", "reason_2": "The composition is nearly identical to Video 1 and equally effective in framing the subjects.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 successfully conveys the emotional connection requested. The aesthetic flaw in Video 2 (the eyes) breaks the immersion and mood.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner primarily due to superior semantic accuracy regarding the specific physical attributes requested in the prompt. The prompt explicitly calls for the man's eyes to be a 'deep shade of brown' conveying 'warmth'. Video 1 renders this correctly, whereas Video 2 generates unnatural, glowing green/hazel eyes that break the realism and contradict the prompt. Video 1 also maintains better anatomical plausibility and a more natural emotional connection between the subjects.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 59.0, "total_score_2": 31.0, "elapsed_sec": 56.731} +{"pair_id": "046_seed_42", "sample_index": 46, "seed": 42, "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Blur & Speed)\", \"reason_1\": \"Video 1 perfectly captures the prompt's request for fingers that are 'a blur' and 'dance' across the keys, showing high-speed motion.\", \"reason_2\": \"Video 2 shows very slow, deliberate typing with no motion blur, completely failing the 'rapid pace' and 'blur' requirements.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Attribute Accuracy (Keyboard)\", \"reason_1\": \"Video 1 features a 'sleek, black keyboard' with a glossy surface as requested.\", \"reason_2\": \"Video 2 features a white/grey keyboard, which directly contradicts the 'black keyboard' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Detail (Ring & Hands)\", \"reason_1\": \"Video 1 includes the silver ring and the hands appear nimble and active.\", \"reason_2\": \"Video 2 includes the silver ring, but the hands lack the 'confidence and dexterity' implied by the prompt due to the slow movement.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 correctly identifies and renders the key descriptive elements: the black keyboard and the rapid, blurry motion of the fingers. Video 2 fails on both the object color and the action speed.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Physics & Momentum\", \"reason_1\": \"The movement in Video 1 feels physically grounded in the concept of rapid typing, with appropriate weight and speed.\", \"reason_2\": \"The motion in Video 2 is stiff and robotic, lacking the natural fluidity of human hands.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Rendering (Skin & Plastic)\", \"reason_1\": \"Video 1 renders the glossy texture of the keys and the skin texture well, though the motion blur masks some detail.\", \"reason_2\": \"Video 2 has decent texture, but the lighting makes the skin look slightly waxy and the keys look matte rather than glossy.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 maintains consistency despite the high-speed motion.\", \"reason_2\": \"Video 2 is stable but the lack of movement makes it easier to render; however, the fingers look slightly morphed in some frames.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 handles the complex challenge of rapid motion blur reasonably well, creating a realistic sense of speed. Video 2 is stable but lacks dynamic realism due to its stiffness.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmosphere & Mood (Focused Creativity)\", \"reason_1\": \"The lighting and motion in Video 1 create the intense, 'focused' atmosphere described.\", \"reason_2\": \"Video 2 feels casual and slow, lacking the intensity or 'symphony of productivity' vibe.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition (Depth of Field)\", \"reason_1\": \"Video 1 uses a shallow depth of field effectively to draw the eye to the action, enhancing the cinematic feel.\", \"reason_2\": \"Video 2 has a flatter composition that feels less professional and more like a standard stock clip.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Pacing (Rhythm)\", \"reason_1\": \"The visual rhythm of Video 1 matches the description of a 'symphony' of clicks.\", \"reason_2\": \"Video 2 has a monotonous, slow pace that fails to convey the narrative of rapid productivity.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the mood of 'focused creativity' and 'determination' through its lighting and pacing. Video 2 feels more like a generic, low-energy clip.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it adheres strictly to the specific visual and action constraints of the prompt. It correctly depicts a 'black keyboard' and captures the 'fingers a blur' and 'rapid pace' requirements, creating the requested atmosphere of intense productivity. Video 2 fails significantly on semantic alignment by presenting a white keyboard and slow, deliberate typing motion that contradicts the prompt's description of a 'blur' and 'rapid pace'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Blur & Speed)", "reason_1": "Video 1 perfectly captures the prompt's request for fingers that are 'a blur' and 'dance' across the keys, showing high-speed motion.", "reason_2": "Video 2 shows very slow, deliberate typing with no motion blur, completely failing the 'rapid pace' and 'blur' requirements.", "score_1": 9, "score_2": 1}, {"name": "Object Attribute Accuracy (Keyboard)", "reason_1": "Video 1 features a 'sleek, black keyboard' with a glossy surface as requested.", "reason_2": "Video 2 features a white/grey keyboard, which directly contradicts the 'black keyboard' instruction.", "score_1": 9, "score_2": 1}, {"name": "Subject Detail (Ring & Hands)", "reason_1": "Video 1 includes the silver ring and the hands appear nimble and active.", "reason_2": "Video 2 includes the silver ring, but the hands lack the 'confidence and dexterity' implied by the prompt due to the slow movement.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 correctly identifies and renders the key descriptive elements: the black keyboard and the rapid, blurry motion of the fingers. Video 2 fails on both the object color and the action speed.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Physics & Momentum", "reason_1": "The movement in Video 1 feels physically grounded in the concept of rapid typing, with appropriate weight and speed.", "reason_2": "The motion in Video 2 is stiff and robotic, lacking the natural fluidity of human hands.", "score_1": 8, "score_2": 2}, {"name": "Texture Rendering (Skin & Plastic)", "reason_1": "Video 1 renders the glossy texture of the keys and the skin texture well, though the motion blur masks some detail.", "reason_2": "Video 2 has decent texture, but the lighting makes the skin look slightly waxy and the keys look matte rather than glossy.", "score_1": 6, "score_2": 4}, {"name": "Temporal Stability", "reason_1": "Video 1 maintains consistency despite the high-speed motion.", "reason_2": "Video 2 is stable but the lack of movement makes it easier to render; however, the fingers look slightly morphed in some frames.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 handles the complex challenge of rapid motion blur reasonably well, creating a realistic sense of speed. Video 2 is stable but lacks dynamic realism due to its stiffness.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmosphere & Mood (Focused Creativity)", "reason_1": "The lighting and motion in Video 1 create the intense, 'focused' atmosphere described.", "reason_2": "Video 2 feels casual and slow, lacking the intensity or 'symphony of productivity' vibe.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition (Depth of Field)", "reason_1": "Video 1 uses a shallow depth of field effectively to draw the eye to the action, enhancing the cinematic feel.", "reason_2": "Video 2 has a flatter composition that feels less professional and more like a standard stock clip.", "score_1": 7, "score_2": 3}, {"name": "Narrative Pacing (Rhythm)", "reason_1": "The visual rhythm of Video 1 matches the description of a 'symphony' of clicks.", "reason_2": "Video 2 has a monotonous, slow pace that fails to convey the narrative of rapid productivity.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the mood of 'focused creativity' and 'determination' through its lighting and pacing. Video 2 feels more like a generic, low-energy clip.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it adheres strictly to the specific visual and action constraints of the prompt. It correctly depicts a 'black keyboard' and captures the 'fingers a blur' and 'rapid pace' requirements, creating the requested atmosphere of intense productivity. Video 2 fails significantly on semantic alignment by presenting a white keyboard and slow, deliberate typing motion that contradicts the prompt's description of a 'blur' and 'rapid pace'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 59.193} +{"pair_id": "046_seed_310", "sample_index": 46, "seed": 310, "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_310_In a softly lit room the camera zooms in on a pair.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_310_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_310_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_310_In a softly lit room the camera zooms in on a pair.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Object Attribute Fidelity (Sleek Black Keyboard)\", \"reason_1\": \"Video 1 generates a keyboard with a strange, textured, almost wooden or metallic side casing that contradicts the 'sleek' descriptor.\", \"reason_2\": \"Video 2 renders a standard, modern, sleek black keyboard that perfectly matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attributes (Nimble Hands & Silver Ring)\", \"reason_1\": \"Video 1 includes the ring, but the hands appear somewhat aged and the motion is less 'nimble' and more jittery.\", \"reason_2\": \"Video 2 depicts smooth, youthful hands that fit the 'nimble' description well, with a clearly visible silver ring.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Dynamics (Blur, Dance, Pause)\", \"reason_1\": \"The motion in Video 1 is erratic and lacks the rhythmic 'dance' quality; the 'blur' appears more like low frame rate or artifacting.\", \"reason_2\": \"Video 2 captures the fluid motion of playing, with a natural sense of speed and dexterity that aligns with the prompt's narrative.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the 'sleek, black keyboard' and the 'nimble' nature of the hands. Video 1 fails on the object description, rendering a keyboard with a strange, textured, non-sleek casing.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Finger Integrity)\", \"reason_1\": \"Video 1 exhibits severe morphing; fingers blend into each other and the keys, losing their structural integrity during movement.\", \"reason_2\": \"Video 2 maintains distinct finger shapes and solid structure throughout the motion, with minimal warping.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Fluidity\", \"reason_1\": \"The movement in Video 1 is jerky and stuttering, lacking the smoothness required for a realistic depiction of typing or playing.\", \"reason_2\": \"Video 2 features smooth, continuous motion that mimics real-world physics and human movement effectively.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"The textures in Video 1 are muddy, particularly on the keyboard surface, which lacks the requested glossiness.\", \"reason_2\": \"Video 2 renders skin texture and the glossy surface of the keys with high clarity and realism.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior stability and realism. Video 1 suffers from significant hallucinations where fingers merge or lose shape, and the motion is unnatural.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Soft & Gentle Shadows)\", \"reason_1\": \"Video 1 has somewhat harsh contrast and the lighting feels artificial, failing to evoke the 'softly lit' atmosphere.\", \"reason_2\": \"Video 2 utilizes warm, soft lighting that creates gentle shadows, perfectly matching the 'focused creativity' mood.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The combination of the strange keyboard texture and morphing hands makes Video 1 visually unappealing and distracting.\", \"reason_2\": \"Video 2 is aesthetically pleasing, with a professional look that could pass for stock footage.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable, but the angle highlights the flaws in the keyboard generation.\", \"reason_2\": \"The framing focuses well on the hands and keys, utilizing depth of field to draw attention to the action.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully creates the 'atmosphere of focused creativity' through warm, soft lighting and clean composition. Video 1 feels darker and less inviting.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully renders the 'sleek, black keyboard' and maintains high anatomical consistency for the hands. Video 1 generates a keyboard with a bizarre, textured casing that contradicts the 'sleek' prompt requirement and suffers from severe morphological instability (melting fingers) and jerky motion.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Object Attribute Fidelity (Sleek Black Keyboard)", "reason_1": "Video 1 generates a keyboard with a strange, textured, almost wooden or metallic side casing that contradicts the 'sleek' descriptor.", "reason_2": "Video 2 renders a standard, modern, sleek black keyboard that perfectly matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Subject Attributes (Nimble Hands & Silver Ring)", "reason_1": "Video 1 includes the ring, but the hands appear somewhat aged and the motion is less 'nimble' and more jittery.", "reason_2": "Video 2 depicts smooth, youthful hands that fit the 'nimble' description well, with a clearly visible silver ring.", "score_1": 4, "score_2": 6}, {"name": "Action Dynamics (Blur, Dance, Pause)", "reason_1": "The motion in Video 1 is erratic and lacks the rhythmic 'dance' quality; the 'blur' appears more like low frame rate or artifacting.", "reason_2": "Video 2 captures the fluid motion of playing, with a natural sense of speed and dexterity that aligns with the prompt's narrative.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the 'sleek, black keyboard' and the 'nimble' nature of the hands. Video 1 fails on the object description, rendering a keyboard with a strange, textured, non-sleek casing.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Finger Integrity)", "reason_1": "Video 1 exhibits severe morphing; fingers blend into each other and the keys, losing their structural integrity during movement.", "reason_2": "Video 2 maintains distinct finger shapes and solid structure throughout the motion, with minimal warping.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Fluidity", "reason_1": "The movement in Video 1 is jerky and stuttering, lacking the smoothness required for a realistic depiction of typing or playing.", "reason_2": "Video 2 features smooth, continuous motion that mimics real-world physics and human movement effectively.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "The textures in Video 1 are muddy, particularly on the keyboard surface, which lacks the requested glossiness.", "reason_2": "Video 2 renders skin texture and the glossy surface of the keys with high clarity and realism.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior stability and realism. Video 1 suffers from significant hallucinations where fingers merge or lose shape, and the motion is unnatural.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Soft & Gentle Shadows)", "reason_1": "Video 1 has somewhat harsh contrast and the lighting feels artificial, failing to evoke the 'softly lit' atmosphere.", "reason_2": "Video 2 utilizes warm, soft lighting that creates gentle shadows, perfectly matching the 'focused creativity' mood.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The combination of the strange keyboard texture and morphing hands makes Video 1 visually unappealing and distracting.", "reason_2": "Video 2 is aesthetically pleasing, with a professional look that could pass for stock footage.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable, but the angle highlights the flaws in the keyboard generation.", "reason_2": "The framing focuses well on the hands and keys, utilizing depth of field to draw attention to the action.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully creates the 'atmosphere of focused creativity' through warm, soft lighting and clean composition. Video 1 feels darker and less inviting.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully renders the 'sleek, black keyboard' and maintains high anatomical consistency for the hands. Video 1 generates a keyboard with a bizarre, textured casing that contradicts the 'sleek' prompt requirement and suffers from severe morphological instability (melting fingers) and jerky motion.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 57.283} +{"pair_id": "046_seed_930", "sample_index": 46, "seed": 930, "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Object Fidelity (Sleek Black Keyboard)\", \"reason_1\": \"Video 1 generates a keyboard with a bizarre, illogical layout that mixes piano-like white keys with a grid of black keys, failing the 'sleek' descriptor.\", \"reason_2\": \"Video 2 renders a realistic, standard sleek black computer keyboard that perfectly matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Accuracy (Silver Ring)\", \"reason_1\": \"Video 1 features a ring, but it appears somewhat thick and lacks the distinct metallic sheen described.\", \"reason_2\": \"Video 2 features a clearly defined, simple silver ring that catches the light naturally, matching the prompt's detail.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Dynamics (Blur & Rhythm)\", \"reason_1\": \"The motion in Video 1 is somewhat jerky and lacks the fluid 'blur' described in the prompt.\", \"reason_2\": \"Video 2 captures the 'fingers a blur' aspect effectively with smooth, rapid motion that implies the requested rhythm.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the 'sleek, black keyboard' and the 'simple silver ring' with high fidelity. Video 1 fails significantly on the object definition, generating a nonsensical keyboard layout.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Logic & Structural Integrity\", \"reason_1\": \"The keyboard in Video 1 is structurally incoherent, with keys that do not follow a logical grid or functional design.\", \"reason_2\": \"The keyboard in Video 2 maintains perfect structural logic and perspective throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity (Texture & Sharpness)\", \"reason_1\": \"Video 1 has a slightly plastic, over-smoothed look to the skin and keys.\", \"reason_2\": \"Video 2 displays high-quality textures on the skin and the glossy surface of the keys, enhancing realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The movement in Video 1 feels slightly stuttered and lacks the fluidity of real typing.\", \"reason_2\": \"Video 2 exhibits smooth, continuous motion consistent with high-quality video footage.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior realism in object structure and texture. Video 1 suffers from severe hallucinations regarding the keyboard's geometry.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Soft & Gentle)\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and harsh, missing the 'softly lit' and 'gentle shadows' requirement.\", \"reason_2\": \"Video 2 utilizes a warm, soft backlight that creates the exact 'atmosphere of focused creativity' requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Depth of Field\", \"reason_1\": \"Video 1 has a standard close-up but lacks artistic depth.\", \"reason_2\": \"Video 2 uses a shallow depth of field (bokeh) effectively to focus attention on the hands and ring, adding cinematic value.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Due to the strange object generation and flat lighting, Video 1 is visually unappealing.\", \"reason_2\": \"Video 2 is aesthetically pleasing, professional, and visually engaging.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 perfectly captures the 'softly lit' and 'focused creativity' atmosphere through excellent lighting and depth of field, whereas Video 1 looks flatter and less cinematic.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it delivers a photorealistic and logically sound representation of the prompt. It features a correctly structured keyboard, realistic hand anatomy, and beautiful lighting that perfectly matches the 'softly lit' and 'focused creativity' atmosphere. Video 1 suffers from significant hallucinations, particularly in the keyboard design which is structurally nonsensical, and the lighting is harsher and less atmospheric.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Object Fidelity (Sleek Black Keyboard)", "reason_1": "Video 1 generates a keyboard with a bizarre, illogical layout that mixes piano-like white keys with a grid of black keys, failing the 'sleek' descriptor.", "reason_2": "Video 2 renders a realistic, standard sleek black computer keyboard that perfectly matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Attribute Accuracy (Silver Ring)", "reason_1": "Video 1 features a ring, but it appears somewhat thick and lacks the distinct metallic sheen described.", "reason_2": "Video 2 features a clearly defined, simple silver ring that catches the light naturally, matching the prompt's detail.", "score_1": 4, "score_2": 6}, {"name": "Action Dynamics (Blur & Rhythm)", "reason_1": "The motion in Video 1 is somewhat jerky and lacks the fluid 'blur' described in the prompt.", "reason_2": "Video 2 captures the 'fingers a blur' aspect effectively with smooth, rapid motion that implies the requested rhythm.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the 'sleek, black keyboard' and the 'simple silver ring' with high fidelity. Video 1 fails significantly on the object definition, generating a nonsensical keyboard layout.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Logic & Structural Integrity", "reason_1": "The keyboard in Video 1 is structurally incoherent, with keys that do not follow a logical grid or functional design.", "reason_2": "The keyboard in Video 2 maintains perfect structural logic and perspective throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity (Texture & Sharpness)", "reason_1": "Video 1 has a slightly plastic, over-smoothed look to the skin and keys.", "reason_2": "Video 2 displays high-quality textures on the skin and the glossy surface of the keys, enhancing realism.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness", "reason_1": "The movement in Video 1 feels slightly stuttered and lacks the fluidity of real typing.", "reason_2": "Video 2 exhibits smooth, continuous motion consistent with high-quality video footage.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior realism in object structure and texture. Video 1 suffers from severe hallucinations regarding the keyboard's geometry.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Soft & Gentle)", "reason_1": "The lighting in Video 1 is somewhat flat and harsh, missing the 'softly lit' and 'gentle shadows' requirement.", "reason_2": "Video 2 utilizes a warm, soft backlight that creates the exact 'atmosphere of focused creativity' requested.", "score_1": 2, "score_2": 8}, {"name": "Composition & Depth of Field", "reason_1": "Video 1 has a standard close-up but lacks artistic depth.", "reason_2": "Video 2 uses a shallow depth of field (bokeh) effectively to focus attention on the hands and ring, adding cinematic value.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "Due to the strange object generation and flat lighting, Video 1 is visually unappealing.", "reason_2": "Video 2 is aesthetically pleasing, professional, and visually engaging.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 perfectly captures the 'softly lit' and 'focused creativity' atmosphere through excellent lighting and depth of field, whereas Video 1 looks flatter and less cinematic.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it delivers a photorealistic and logically sound representation of the prompt. It features a correctly structured keyboard, realistic hand anatomy, and beautiful lighting that perfectly matches the 'softly lit' and 'focused creativity' atmosphere. Video 1 suffers from significant hallucinations, particularly in the keyboard design which is structurally nonsensical, and the lighting is harsher and less atmospheric.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 67.0, "elapsed_sec": 55.494} +{"pair_id": "047_seed_42", "sample_index": 47, "seed": 42, "prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_42_A woman with long flowing hair sprints through a s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_42_A woman with long flowing hair sprints through a s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_42_A woman with long flowing hair sprints through a s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_42_A woman with long flowing hair sprints through a s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Hair Dynamics & 'Wild' Movement\", \"reason_1\": \"Video 1 perfectly captures the 'wildly' and 'dancing' nature of the hair described in the prompt, with strands whipping individually.\", \"reason_2\": \"Video 2's hair movement is stiff and clumped, lacking the chaotic, 'untamed' energy requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Wildflowers & Greenery)\", \"reason_1\": \"Video 1 clearly renders the 'vibrant wildflowers' and 'lush greenery' in the background, creating the requested context.\", \"reason_2\": \"Video 2 presents a generic, blurry green background where specific details like wildflowers are indistinguishable.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction (Glistening Effect)\", \"reason_1\": \"The lighting in Video 1 interacts realistically with the hair strands, creating the 'glistening' effect under the sun.\", \"reason_2\": \"Video 2 has a general backlight but lacks the specific interaction of light on individual hair strands.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the specific descriptive elements of the prompt—specifically the 'wild' hair movement and the 'vibrant wildflowers'—much more accurately than Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Hair Texture Fidelity & Sharpness\", \"reason_1\": \"The hair in Video 1 is rendered with high definition, showing individual strands and realistic texture.\", \"reason_2\": \"The hair in Video 2 appears blurry, matted, and lacks high-frequency texture details.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physics Simulation (Gravity & Wind)\", \"reason_1\": \"The hair in Video 1 reacts convincingly to the forward momentum and the breeze, showing complex physics.\", \"reason_2\": \"The hair in Video 2 moves in a blocky, unnatural manner that does not respect the physics of wind or running.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Image Clarity\", \"reason_1\": \"Video 1 maintains a sharp, clear image throughout the clip.\", \"reason_2\": \"Video 2 suffers from a soft, washed-out look that obscures detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior technical execution with sharp textures and realistic physics, whereas Video 2 appears low-resolution and physically unconvincing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Freedom & Exhilaration)\", \"reason_1\": \"The combination of bright lighting, clear nature details, and energetic motion in Video 1 effectively conveys the requested mood.\", \"reason_2\": \"The darker, blurrier presentation of Video 2 fails to evoke the sense of 'exhilaration' or 'joy'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Vibrancy & Harmony\", \"reason_1\": \"Video 1 features rich greens and yellows that match the 'vibrant' descriptor in the prompt.\", \"reason_2\": \"Video 2 has a muted, somewhat muddy color palette that lacks the requested vibrancy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Appeal of the 'Symphony'\", \"reason_1\": \"The aesthetic quality of Video 1 is high, creating a pleasing and artistic visual experience.\", \"reason_2\": \"Video 2 lacks aesthetic polish and looks more like a low-quality draft.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully evokes the mood of 'freedom and exhilaration' through vibrant colors and dynamic motion, while Video 2 feels dull and static.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it superiorly executes the core requirement of the prompt: the dynamic, wild movement of the hair. It renders individual strands with high fidelity, creating the requested 'visual symphony' and 'glistening' effect. Video 2, while semantically correct in broad strokes, suffers from lower resolution, matted hair physics, and a lack of environmental detail.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Hair Dynamics & 'Wild' Movement", "reason_1": "Video 1 perfectly captures the 'wildly' and 'dancing' nature of the hair described in the prompt, with strands whipping individually.", "reason_2": "Video 2's hair movement is stiff and clumped, lacking the chaotic, 'untamed' energy requested.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Wildflowers & Greenery)", "reason_1": "Video 1 clearly renders the 'vibrant wildflowers' and 'lush greenery' in the background, creating the requested context.", "reason_2": "Video 2 presents a generic, blurry green background where specific details like wildflowers are indistinguishable.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction (Glistening Effect)", "reason_1": "The lighting in Video 1 interacts realistically with the hair strands, creating the 'glistening' effect under the sun.", "reason_2": "Video 2 has a general backlight but lacks the specific interaction of light on individual hair strands.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the specific descriptive elements of the prompt—specifically the 'wild' hair movement and the 'vibrant wildflowers'—much more accurately than Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Hair Texture Fidelity & Sharpness", "reason_1": "The hair in Video 1 is rendered with high definition, showing individual strands and realistic texture.", "reason_2": "The hair in Video 2 appears blurry, matted, and lacks high-frequency texture details.", "score_1": 9, "score_2": 1}, {"name": "Physics Simulation (Gravity & Wind)", "reason_1": "The hair in Video 1 reacts convincingly to the forward momentum and the breeze, showing complex physics.", "reason_2": "The hair in Video 2 moves in a blocky, unnatural manner that does not respect the physics of wind or running.", "score_1": 8, "score_2": 2}, {"name": "Overall Image Clarity", "reason_1": "Video 1 maintains a sharp, clear image throughout the clip.", "reason_2": "Video 2 suffers from a soft, washed-out look that obscures detail.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior technical execution with sharp textures and realistic physics, whereas Video 2 appears low-resolution and physically unconvincing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Freedom & Exhilaration)", "reason_1": "The combination of bright lighting, clear nature details, and energetic motion in Video 1 effectively conveys the requested mood.", "reason_2": "The darker, blurrier presentation of Video 2 fails to evoke the sense of 'exhilaration' or 'joy'.", "score_1": 8, "score_2": 2}, {"name": "Color Vibrancy & Harmony", "reason_1": "Video 1 features rich greens and yellows that match the 'vibrant' descriptor in the prompt.", "reason_2": "Video 2 has a muted, somewhat muddy color palette that lacks the requested vibrancy.", "score_1": 8, "score_2": 2}, {"name": "Visual Appeal of the 'Symphony'", "reason_1": "The aesthetic quality of Video 1 is high, creating a pleasing and artistic visual experience.", "reason_2": "Video 2 lacks aesthetic polish and looks more like a low-quality draft.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully evokes the mood of 'freedom and exhilaration' through vibrant colors and dynamic motion, while Video 2 feels dull and static.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it superiorly executes the core requirement of the prompt: the dynamic, wild movement of the hair. It renders individual strands with high fidelity, creating the requested 'visual symphony' and 'glistening' effect. Video 2, while semantically correct in broad strokes, suffers from lower resolution, matted hair physics, and a lack of environmental detail.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 57.866} +{"pair_id": "047_seed_310", "sample_index": 47, "seed": 310, "prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_310_A woman with long flowing hair sprints through a s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_310_A woman with long flowing hair sprints through a s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_310_A woman with long flowing hair sprints through a s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_310_A woman with long flowing hair sprints through a s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Sprinting vs. Running)\", \"reason_1\": \"The subject in Video 1 displays a clear, energetic sprinting gait with appropriate body mechanics.\", \"reason_2\": \"The subject in Video 2 appears to be jogging or power-walking, lacking the speed and intensity of a 'sprint'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Hair Dynamics (Wild & Cascading)\", \"reason_1\": \"The hair moves fluidly, whipping and flowing in a way that matches the 'dancing wildly' description.\", \"reason_2\": \"The hair movement is stiff and unnatural, often clumping together or moving in a way that defies the physics of wind and running.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Sunlit Meadow)\", \"reason_1\": \"The environment is lush and green, though the 'vibrant wildflowers' are somewhat indistinct due to the depth of field.\", \"reason_2\": \"The environment is present, but the lighting is harsh and overexposed, washing out the details of the meadow.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately depicts the 'sprinting' action and the 'wild' nature of the hair movement. Video 2 depicts a slower jog and fails to capture the chaotic energy described.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Hair Physics)\", \"reason_1\": \"The hair maintains its volume and strand structure reasonably well throughout the motion.\", \"reason_2\": \"The hair suffers from severe morphing artifacts, appearing to melt or detach from the head in several frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Balance & Exposure\", \"reason_1\": \"The lighting is balanced, preserving details in both the subject and the background.\", \"reason_2\": \"The video is heavily overexposed (blown out), causing a loss of detail in the hair and background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The movement of the runner and the camera is smooth and cinematic.\", \"reason_2\": \"The motion feels slightly jerky, and the hair movement is disjointed from the runner's stride.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 is plagued by artifacts, particularly in the hair rendering, and suffers from poor exposure control.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Golden Hour)\", \"reason_1\": \"Successfully captures the 'golden sunlight' and 'mesmerizing' mood with warm tones and soft lighting.\", \"reason_2\": \"The lighting is harsh white/yellow rather than golden, creating a less inviting and less aesthetic atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Appeal & Composition\", \"reason_1\": \"The framing focuses well on the hair movement while keeping the subject grounded in the scene.\", \"reason_2\": \"The composition is acceptable, but the visual appeal is diminished by the technical flaws and harsh contrast.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Expression of Freedom & Energy\", \"reason_1\": \"The combination of the sprint and the flowing hair effectively conveys the requested sense of freedom.\", \"reason_2\": \"The slower pace and glitchy visuals fail to convey the 'untamed energy' requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the 'mesmerizing' and 'exhilarating' mood through better color grading and composition. Video 2 feels flatter and less artistic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it superiorly captures the dynamic energy and specific physical attributes requested in the prompt. It features a convincing sprinting motion and hair that flows naturally with the wind, whereas Video 2 suffers from significant morphological instability in the hair, overexposed lighting, and a slower, less energetic gait.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Sprinting vs. Running)", "reason_1": "The subject in Video 1 displays a clear, energetic sprinting gait with appropriate body mechanics.", "reason_2": "The subject in Video 2 appears to be jogging or power-walking, lacking the speed and intensity of a 'sprint'.", "score_1": 8, "score_2": 2}, {"name": "Hair Dynamics (Wild & Cascading)", "reason_1": "The hair moves fluidly, whipping and flowing in a way that matches the 'dancing wildly' description.", "reason_2": "The hair movement is stiff and unnatural, often clumping together or moving in a way that defies the physics of wind and running.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Sunlit Meadow)", "reason_1": "The environment is lush and green, though the 'vibrant wildflowers' are somewhat indistinct due to the depth of field.", "reason_2": "The environment is present, but the lighting is harsh and overexposed, washing out the details of the meadow.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately depicts the 'sprinting' action and the 'wild' nature of the hair movement. Video 2 depicts a slower jog and fails to capture the chaotic energy described.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Hair Physics)", "reason_1": "The hair maintains its volume and strand structure reasonably well throughout the motion.", "reason_2": "The hair suffers from severe morphing artifacts, appearing to melt or detach from the head in several frames.", "score_1": 8, "score_2": 2}, {"name": "Lighting Balance & Exposure", "reason_1": "The lighting is balanced, preserving details in both the subject and the background.", "reason_2": "The video is heavily overexposed (blown out), causing a loss of detail in the hair and background.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness", "reason_1": "The movement of the runner and the camera is smooth and cinematic.", "reason_2": "The motion feels slightly jerky, and the hair movement is disjointed from the runner's stride.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 is plagued by artifacts, particularly in the hair rendering, and suffers from poor exposure control.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Golden Hour)", "reason_1": "Successfully captures the 'golden sunlight' and 'mesmerizing' mood with warm tones and soft lighting.", "reason_2": "The lighting is harsh white/yellow rather than golden, creating a less inviting and less aesthetic atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Visual Appeal & Composition", "reason_1": "The framing focuses well on the hair movement while keeping the subject grounded in the scene.", "reason_2": "The composition is acceptable, but the visual appeal is diminished by the technical flaws and harsh contrast.", "score_1": 7, "score_2": 3}, {"name": "Expression of Freedom & Energy", "reason_1": "The combination of the sprint and the flowing hair effectively conveys the requested sense of freedom.", "reason_2": "The slower pace and glitchy visuals fail to convey the 'untamed energy' requested by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the 'mesmerizing' and 'exhilarating' mood through better color grading and composition. Video 2 feels flatter and less artistic.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it superiorly captures the dynamic energy and specific physical attributes requested in the prompt. It features a convincing sprinting motion and hair that flows naturally with the wind, whereas Video 2 suffers from significant morphological instability in the hair, overexposed lighting, and a slower, less energetic gait.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 55.559} +{"pair_id": "047_seed_930", "sample_index": 47, "seed": 930, "prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Sprinting vs. Running)\", \"reason_1\": \"Video 1 depicts a high-energy sprint with appropriate body mechanics and speed, matching the prompt's 'sprints' and 'untamed energy'.\", \"reason_2\": \"Video 2 shows a slow, casual jog or walk, completely failing to capture the 'sprinting' or 'wild' nature of the requested action.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Hair Dynamics (Wildness & Flow)\", \"reason_1\": \"The hair in Video 1 moves chaotically and wildly, perfectly matching the description of 'dancing wildly' and 'whip and flow'.\", \"reason_2\": \"The hair in Video 2 is relatively static and controlled, lacking the 'wild' and 'cascading' movement described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Wildflowers & Greenery)\", \"reason_1\": \"Video 1 clearly renders the 'vibrant wildflowers' and 'lush greenery' in the foreground and background.\", \"reason_2\": \"Video 2 presents a generic grassy field with a washed-out background, missing the specific 'wildflower' detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'sprinting' action and the 'wild' hair movement requested. Video 2 fails the core action prompt, showing a slow jog instead of a sprint.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 maintains high sharpness on the hair strands and clothing textures throughout the clip.\", \"reason_2\": \"Video 2 is heavily softened by bloom and backlighting, resulting in a loss of texture and definition.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Physics Simulation (Hair & Motion)\", \"reason_1\": \"The hair physics in Video 1 react realistically to the momentum of the sprint, showing complex strand interactions.\", \"reason_2\": \"The hair movement in Video 2 feels stiff and lacks the complex physics expected from a moving subject in a breeze.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction (Glistening Effect)\", \"reason_1\": \"Video 1 captures the 'glistening' effect of sunlight on individual hair strands effectively.\", \"reason_2\": \"Video 2 has strong backlighting, but it washes out the subject rather than creating a glistening effect on the strands.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering and physics simulation. Video 2 suffers from excessive bloom and lack of definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Exhilaration & Energy)\", \"reason_1\": \"The speed and camera movement in Video 1 successfully evoke the 'sense of freedom and exhilaration' requested.\", \"reason_2\": \"The slow pace of Video 2 creates a calm, serene mood, which is the opposite of the 'untamed energy' requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"Video 1 uses a dynamic tracking shot that follows the runner, enhancing the sense of speed.\", \"reason_2\": \"Video 2 uses a static or very slow pan that fails to engage the viewer in the action.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Vibrancy & Atmosphere\", \"reason_1\": \"Video 1 features rich greens and warm sunlight, creating a vibrant aesthetic.\", \"reason_2\": \"Video 2 is dominated by a hazy, overexposed white/yellow tone that lacks color depth.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 effectively conveys the mood of 'exhilaration' and 'untamed energy' through dynamic camera work and pacing. Video 2 is too passive.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the high-energy 'sprinting' action and the 'wild' hair dynamics described in the prompt. It captures the 'untamed energy' and 'exhilaration' with a dynamic camera and vibrant environment. Video 2, while visually pleasant, depicts a slow jog rather than a sprint and lacks the chaotic, mesmerizing hair movement requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Sprinting vs. Running)", "reason_1": "Video 1 depicts a high-energy sprint with appropriate body mechanics and speed, matching the prompt's 'sprints' and 'untamed energy'.", "reason_2": "Video 2 shows a slow, casual jog or walk, completely failing to capture the 'sprinting' or 'wild' nature of the requested action.", "score_1": 9, "score_2": 1}, {"name": "Hair Dynamics (Wildness & Flow)", "reason_1": "The hair in Video 1 moves chaotically and wildly, perfectly matching the description of 'dancing wildly' and 'whip and flow'.", "reason_2": "The hair in Video 2 is relatively static and controlled, lacking the 'wild' and 'cascading' movement described.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Wildflowers & Greenery)", "reason_1": "Video 1 clearly renders the 'vibrant wildflowers' and 'lush greenery' in the foreground and background.", "reason_2": "Video 2 presents a generic grassy field with a washed-out background, missing the specific 'wildflower' detail.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'sprinting' action and the 'wild' hair movement requested. Video 2 fails the core action prompt, showing a slow jog instead of a sprint.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 maintains high sharpness on the hair strands and clothing textures throughout the clip.", "reason_2": "Video 2 is heavily softened by bloom and backlighting, resulting in a loss of texture and definition.", "score_1": 8, "score_2": 2}, {"name": "Physics Simulation (Hair & Motion)", "reason_1": "The hair physics in Video 1 react realistically to the momentum of the sprint, showing complex strand interactions.", "reason_2": "The hair movement in Video 2 feels stiff and lacks the complex physics expected from a moving subject in a breeze.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction (Glistening Effect)", "reason_1": "Video 1 captures the 'glistening' effect of sunlight on individual hair strands effectively.", "reason_2": "Video 2 has strong backlighting, but it washes out the subject rather than creating a glistening effect on the strands.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior texture rendering and physics simulation. Video 2 suffers from excessive bloom and lack of definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Exhilaration & Energy)", "reason_1": "The speed and camera movement in Video 1 successfully evoke the 'sense of freedom and exhilaration' requested.", "reason_2": "The slow pace of Video 2 creates a calm, serene mood, which is the opposite of the 'untamed energy' requested.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion & Framing", "reason_1": "Video 1 uses a dynamic tracking shot that follows the runner, enhancing the sense of speed.", "reason_2": "Video 2 uses a static or very slow pan that fails to engage the viewer in the action.", "score_1": 8, "score_2": 2}, {"name": "Color Vibrancy & Atmosphere", "reason_1": "Video 1 features rich greens and warm sunlight, creating a vibrant aesthetic.", "reason_2": "Video 2 is dominated by a hazy, overexposed white/yellow tone that lacks color depth.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 effectively conveys the mood of 'exhilaration' and 'untamed energy' through dynamic camera work and pacing. Video 2 is too passive.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the high-energy 'sprinting' action and the 'wild' hair dynamics described in the prompt. It captures the 'untamed energy' and 'exhilaration' with a dynamic camera and vibrant environment. Video 2, while visually pleasant, depicts a slow jog rather than a sprint and lacks the chaotic, mesmerizing hair movement requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 58.295} +{"pair_id": "048_seed_42", "sample_index": 48, "seed": 42, "prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Hair & Face)\", \"reason_1\": \"Video 1 perfectly renders the 'wet hair plastered against their forehead' and the 'face set with determination' as requested.\", \"reason_2\": \"Video 2 completely fails this instruction by generating a hood that covers the head, obscuring the hair and face entirely.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Environmental Context (Deluge & Street)\", \"reason_1\": \"Video 1 depicts a heavy, atmospheric rainstorm with appropriate lighting and wet surfaces.\", \"reason_2\": \"Video 2 depicts a street and rain, but the environment feels slightly more generic and less integrated with the subject.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action & Attire Accuracy\", \"reason_1\": \"The figure is striding in a dark, wet coat that appears to be clinging to the form, matching the prompt's description of a 'black trench coat'.\", \"reason_2\": \"The figure is striding, but the coat is lighter in color (grey/white) and the hooded silhouette deviates from the 'trench coat' aesthetic implied by the hair description.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 followed the specific character details (hair, face, expression) which Video 2 ignored by adding a hood.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Hydrodynamic Realism (Rain Interaction)\", \"reason_1\": \"The rain in Video 1 interacts naturally with the light and the subject, creating a believable 'deluge' effect.\", \"reason_2\": \"The rain in Video 2 appears as a chaotic, unnatural spray or particle effect that looks like a graphical glitch rather than water.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent and recognizable throughout the clip.\", \"reason_2\": \"The subject's face is obscured by the hood and the chaotic rain effects, making identity persistence impossible to evaluate positively.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, with clear definition between the subject and the background.\", \"reason_2\": \"The video suffers from visual noise and a lack of focus, particularly around the rain effects.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high visual fidelity and realistic rain physics, whereas Video 2 suffers from chaotic particle effects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Determination & Resilience)\", \"reason_1\": \"The visible expression and body language in Video 1 strongly convey the requested 'resilience' and 'determination'.\", \"reason_2\": \"Video 2 conveys no specific emotion as the face is hidden behind a hood and the chaotic rain distracts from the mood.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"Video 1 utilizes backlighting and reflections on the wet coat to create a moody, cinematic aesthetic.\", \"reason_2\": \"Video 2 has flatter lighting and the atmosphere is ruined by the artificial-looking water spray.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Focus & Composition\", \"reason_1\": \"The camera framing focuses effectively on the subject, aligning with the prompt's instruction to 'reveal the character'.\", \"reason_2\": \"The framing is wider and less focused, failing to draw the viewer's eye to the character's determination.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully captures the mood of resilience and determination through effective framing and lighting.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner primarily due to its strict adherence to the specific character attributes described in the prompt. It correctly depicts the 'wet hair plastered against their forehead' and the 'face set with determination,' whereas Video 2 obscures the subject's head with a hood, failing to show the hair or facial expression. Furthermore, Video 1 renders the rain with cinematic realism, while Video 2 suffers from unnatural, spray-like water artifacts.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Hair & Face)", "reason_1": "Video 1 perfectly renders the 'wet hair plastered against their forehead' and the 'face set with determination' as requested.", "reason_2": "Video 2 completely fails this instruction by generating a hood that covers the head, obscuring the hair and face entirely.", "score_1": 10, "score_2": 0}, {"name": "Environmental Context (Deluge & Street)", "reason_1": "Video 1 depicts a heavy, atmospheric rainstorm with appropriate lighting and wet surfaces.", "reason_2": "Video 2 depicts a street and rain, but the environment feels slightly more generic and less integrated with the subject.", "score_1": 6, "score_2": 4}, {"name": "Action & Attire Accuracy", "reason_1": "The figure is striding in a dark, wet coat that appears to be clinging to the form, matching the prompt's description of a 'black trench coat'.", "reason_2": "The figure is striding, but the coat is lighter in color (grey/white) and the hooded silhouette deviates from the 'trench coat' aesthetic implied by the hair description.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 followed the specific character details (hair, face, expression) which Video 2 ignored by adding a hood.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Hydrodynamic Realism (Rain Interaction)", "reason_1": "The rain in Video 1 interacts naturally with the light and the subject, creating a believable 'deluge' effect.", "reason_2": "The rain in Video 2 appears as a chaotic, unnatural spray or particle effect that looks like a graphical glitch rather than water.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent and recognizable throughout the clip.", "reason_2": "The subject's face is obscured by the hood and the chaotic rain effects, making identity persistence impossible to evaluate positively.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, with clear definition between the subject and the background.", "reason_2": "The video suffers from visual noise and a lack of focus, particularly around the rain effects.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high visual fidelity and realistic rain physics, whereas Video 2 suffers from chaotic particle effects.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Determination & Resilience)", "reason_1": "The visible expression and body language in Video 1 strongly convey the requested 'resilience' and 'determination'.", "reason_2": "Video 2 conveys no specific emotion as the face is hidden behind a hood and the chaotic rain distracts from the mood.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Lighting & Atmosphere", "reason_1": "Video 1 utilizes backlighting and reflections on the wet coat to create a moody, cinematic aesthetic.", "reason_2": "Video 2 has flatter lighting and the atmosphere is ruined by the artificial-looking water spray.", "score_1": 8, "score_2": 2}, {"name": "Camera Focus & Composition", "reason_1": "The camera framing focuses effectively on the subject, aligning with the prompt's instruction to 'reveal the character'.", "reason_2": "The framing is wider and less focused, failing to draw the viewer's eye to the character's determination.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully captures the mood of resilience and determination through effective framing and lighting.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner primarily due to its strict adherence to the specific character attributes described in the prompt. It correctly depicts the 'wet hair plastered against their forehead' and the 'face set with determination,' whereas Video 2 obscures the subject's head with a hood, failing to show the hair or facial expression. Furthermore, Video 1 renders the rain with cinematic realism, while Video 2 suffers from unnatural, spray-like water artifacts.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 55.796} +{"pair_id": "048_seed_310", "sample_index": 48, "seed": 310, "prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_310_Amidst a nighttime deluge a solitary figure stride.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_310_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_310_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_310_Amidst a nighttime deluge a solitary figure stride.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Hair & Face)\", \"reason_1\": \"Video 1 perfectly renders the 'wet hair plastered against their forehead' and the 'face set with determination' as requested.\", \"reason_2\": \"Video 2 completely fails this instruction; the subject wears a hood that obscures the hair, and the face is distorted and lacks the requested expression.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Street & Lighting)\", \"reason_1\": \"Video 1 depicts a clear, deserted street with realistic streetlights and puddles, matching the setting description.\", \"reason_2\": \"Video 2's background is vague and cluttered, lacking the clear 'deserted street' depth and specific lighting interactions described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action & Attire Logic\", \"reason_1\": \"The figure in Video 1 strides with purpose, and the coat appears appropriately drenched and heavy.\", \"reason_2\": \"The figure in Video 2 moves stiffly, and the attire (a hooded jacket rather than a trench coat) deviates slightly from the prompt's implication of a classic trench coat.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately captures the specific physical attributes requested, particularly the hair and facial expression, whereas Video 2 obscures these key elements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Anatomy)\", \"reason_1\": \"The subject's face remains consistent, human, and anatomically correct throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe facial hallucination; the mouth and jaw area morph unnaturally, creating a disturbing, non-human appearance.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Hydro-Physics & Rain Interaction\", \"reason_1\": \"Raindrops interact realistically with the environment and the subject's skin.\", \"reason_2\": \"The rain in Video 2 behaves unnaturally, appearing to splash outwards from the hood in a way that defies gravity and logic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Textures of the wet coat and skin are sharp and realistic.\", \"reason_2\": \"The image is softer, with muddy textures and significant digital noise around the rain effects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and realism, while Video 2 suffers from critical hallucinations and physics failures.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Resilience vs. Distortion)\", \"reason_1\": \"The video successfully conveys the requested mood of resilience and solitude through the character's steady gaze.\", \"reason_2\": \"The mood is ruined by the grotesque facial artifacts, which evoke horror rather than resilience.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition & Focus\", \"reason_1\": \"The framing is balanced, keeping the subject central while allowing the environment to breathe.\", \"reason_2\": \"The framing is awkward, and the camera movement feels less intentional and more random.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"The lighting creates a convincing 'dim glow' and 'shimmering path' on the wet ground.\", \"reason_2\": \"The lighting is flat and lacks the dynamic contrast expected from a rainy night scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a cinematic, moody shot that aligns with the prompt's emotional tone, while Video 2 is visually jarring due to artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It faithfully executes the specific details of the prompt, such as the 'wet hair plastered against the forehead' and the 'determined' facial expression, while maintaining high photorealism. Video 2 fails significantly in semantic alignment by obscuring the face with a hood (contradicting the hair description) and suffers from severe morphological instability, where the subject's face distorts into unnatural shapes.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Hair & Face)", "reason_1": "Video 1 perfectly renders the 'wet hair plastered against their forehead' and the 'face set with determination' as requested.", "reason_2": "Video 2 completely fails this instruction; the subject wears a hood that obscures the hair, and the face is distorted and lacks the requested expression.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Street & Lighting)", "reason_1": "Video 1 depicts a clear, deserted street with realistic streetlights and puddles, matching the setting description.", "reason_2": "Video 2's background is vague and cluttered, lacking the clear 'deserted street' depth and specific lighting interactions described.", "score_1": 8, "score_2": 2}, {"name": "Action & Attire Logic", "reason_1": "The figure in Video 1 strides with purpose, and the coat appears appropriately drenched and heavy.", "reason_2": "The figure in Video 2 moves stiffly, and the attire (a hooded jacket rather than a trench coat) deviates slightly from the prompt's implication of a classic trench coat.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately captures the specific physical attributes requested, particularly the hair and facial expression, whereas Video 2 obscures these key elements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Anatomy)", "reason_1": "The subject's face remains consistent, human, and anatomically correct throughout the clip.", "reason_2": "Video 2 exhibits severe facial hallucination; the mouth and jaw area morph unnaturally, creating a disturbing, non-human appearance.", "score_1": 9, "score_2": 1}, {"name": "Hydro-Physics & Rain Interaction", "reason_1": "Raindrops interact realistically with the environment and the subject's skin.", "reason_2": "The rain in Video 2 behaves unnaturally, appearing to splash outwards from the hood in a way that defies gravity and logic.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture", "reason_1": "Textures of the wet coat and skin are sharp and realistic.", "reason_2": "The image is softer, with muddy textures and significant digital noise around the rain effects.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and realism, while Video 2 suffers from critical hallucinations and physics failures.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Resilience vs. Distortion)", "reason_1": "The video successfully conveys the requested mood of resilience and solitude through the character's steady gaze.", "reason_2": "The mood is ruined by the grotesque facial artifacts, which evoke horror rather than resilience.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition & Focus", "reason_1": "The framing is balanced, keeping the subject central while allowing the environment to breathe.", "reason_2": "The framing is awkward, and the camera movement feels less intentional and more random.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Atmosphere", "reason_1": "The lighting creates a convincing 'dim glow' and 'shimmering path' on the wet ground.", "reason_2": "The lighting is flat and lacks the dynamic contrast expected from a rainy night scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a cinematic, moody shot that aligns with the prompt's emotional tone, while Video 2 is visually jarring due to artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It faithfully executes the specific details of the prompt, such as the 'wet hair plastered against the forehead' and the 'determined' facial expression, while maintaining high photorealism. Video 2 fails significantly in semantic alignment by obscuring the face with a hood (contradicting the hair description) and suffers from severe morphological instability, where the subject's face distorts into unnatural shapes.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 56.795} +{"pair_id": "048_seed_930", "sample_index": 48, "seed": 930, "prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Striding vs. Static)\", \"reason_1\": \"The character in Video 1 is essentially static, merely standing in the rain with no forward momentum.\", \"reason_2\": \"Video 2 depicts the character actively striding forward with a natural gait, perfectly matching the 'strides down a deserted street' instruction.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Accuracy (Wet Coat & Hair)\", \"reason_1\": \"The coat appears dry and stiff; the hair is styled and does not look 'plastered' by water.\", \"reason_2\": \"The coat visibly clings to the body with wet texture, and the hair is matted and plastered against the forehead as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Puddles & Reflections)\", \"reason_1\": \"The background is blurry and lacks distinct puddles or the specific 'shimmering path' of light described.\", \"reason_2\": \"The video clearly renders wet pavement with realistic reflections of streetlights in the puddles, creating the requested shimmering path.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the 'striding' action and the specific physical attributes of being 'drenched' and 'clinging,' whereas Video 1 presents a static character with dry-looking clothing.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Hydrodynamic Realism (Rain Interaction)\", \"reason_1\": \"The rain is rendered as a simple 2D overlay filter that does not interact with the character or the environment.\", \"reason_2\": \"The rain interacts physically with the scene, splashing against the coat and the ground, creating realistic water physics.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Texture Fidelity (Wet Surfaces)\", \"reason_1\": \"Textures are flat and illustrative, failing to convey the material properties of wet fabric.\", \"reason_2\": \"The video renders high-fidelity textures where the fabric looks heavy, soaked, and reflective.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Motion is minimal and stiff, lacking the weight of a person moving through a storm.\", \"reason_2\": \"The character's movement has appropriate weight and momentum, reacting naturally to the resistance of the rain.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior physics simulation, particularly in fluid dynamics (rain splashing) and texture rendering, while Video 1 relies on a static anime style with overlay effects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Resilience & Solitude)\", \"reason_1\": \"The anime style creates a somewhat detached or stylized mood that feels less visceral than the prompt implies.\", \"reason_2\": \"The lighting, heavy rain, and determined expression combine to effectively convey the requested sense of resilience and solitude.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Lighting (Dim Glow & Contrast)\", \"reason_1\": \"Lighting is relatively flat and uniform, lacking the dramatic contrast of a nighttime storm.\", \"reason_2\": \"The video utilizes high-contrast lighting with bokeh effects from streetlights, enhancing the cinematic quality.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Movement & Focus\", \"reason_1\": \"The camera is largely static with a slight zoom, failing to create a dynamic sense of following the subject.\", \"reason_2\": \"The camera tracks the subject's movement, creating a dynamic and immersive perspective that aligns with the narrative flow.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully evokes the mood of 'resilience' through cinematic lighting and camera movement, whereas Video 1 feels more like a static character portrait.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is a superior generation that fully captures the dynamic and physical requirements of the prompt. It features a photorealistic depiction of a character actually 'striding' through a heavy downpour, with accurate wet-surface textures, realistic rain interaction, and the specific atmospheric lighting requested. Video 1, while stylistically consistent as an anime clip, fails to depict the 'striding' motion (the character is static) and lacks the visceral 'drenched' and 'clinging' fabric details described.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Striding vs. Static)", "reason_1": "The character in Video 1 is essentially static, merely standing in the rain with no forward momentum.", "reason_2": "Video 2 depicts the character actively striding forward with a natural gait, perfectly matching the 'strides down a deserted street' instruction.", "score_1": 1, "score_2": 9}, {"name": "Attribute Accuracy (Wet Coat & Hair)", "reason_1": "The coat appears dry and stiff; the hair is styled and does not look 'plastered' by water.", "reason_2": "The coat visibly clings to the body with wet texture, and the hair is matted and plastered against the forehead as requested.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Puddles & Reflections)", "reason_1": "The background is blurry and lacks distinct puddles or the specific 'shimmering path' of light described.", "reason_2": "The video clearly renders wet pavement with realistic reflections of streetlights in the puddles, creating the requested shimmering path.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the 'striding' action and the specific physical attributes of being 'drenched' and 'clinging,' whereas Video 1 presents a static character with dry-looking clothing.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Hydrodynamic Realism (Rain Interaction)", "reason_1": "The rain is rendered as a simple 2D overlay filter that does not interact with the character or the environment.", "reason_2": "The rain interacts physically with the scene, splashing against the coat and the ground, creating realistic water physics.", "score_1": 2, "score_2": 8}, {"name": "Texture Fidelity (Wet Surfaces)", "reason_1": "Textures are flat and illustrative, failing to convey the material properties of wet fabric.", "reason_2": "The video renders high-fidelity textures where the fabric looks heavy, soaked, and reflective.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "Motion is minimal and stiff, lacking the weight of a person moving through a storm.", "reason_2": "The character's movement has appropriate weight and momentum, reacting naturally to the resistance of the rain.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior physics simulation, particularly in fluid dynamics (rain splashing) and texture rendering, while Video 1 relies on a static anime style with overlay effects.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Resilience & Solitude)", "reason_1": "The anime style creates a somewhat detached or stylized mood that feels less visceral than the prompt implies.", "reason_2": "The lighting, heavy rain, and determined expression combine to effectively convey the requested sense of resilience and solitude.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Lighting (Dim Glow & Contrast)", "reason_1": "Lighting is relatively flat and uniform, lacking the dramatic contrast of a nighttime storm.", "reason_2": "The video utilizes high-contrast lighting with bokeh effects from streetlights, enhancing the cinematic quality.", "score_1": 3, "score_2": 7}, {"name": "Camera Movement & Focus", "reason_1": "The camera is largely static with a slight zoom, failing to create a dynamic sense of following the subject.", "reason_2": "The camera tracks the subject's movement, creating a dynamic and immersive perspective that aligns with the narrative flow.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully evokes the mood of 'resilience' through cinematic lighting and camera movement, whereas Video 1 feels more like a static character portrait.", "cat_winner": "Video 2"}], "reason": "Video 2 is a superior generation that fully captures the dynamic and physical requirements of the prompt. It features a photorealistic depiction of a character actually 'striding' through a heavy downpour, with accurate wet-surface textures, realistic rain interaction, and the specific atmospheric lighting requested. Video 1, while stylistically consistent as an anime clip, fails to depict the 'striding' motion (the character is static) and lacks the visceral 'drenched' and 'clinging' fabric details described.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 21.0, "total_score_2": 69.0, "elapsed_sec": 60.57} +{"pair_id": "049_seed_42", "sample_index": 49, "seed": 42, "prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_42_In a serene softly lit room the camera remains fix.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_42_In a serene softly lit room the camera remains fix.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_42_In a serene softly lit room the camera remains fix.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_42_In a serene softly lit room the camera remains fix.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Temporal Emotional Progression\", \"reason_1\": \"Video 1 clearly depicts the requested sequence: starting with a smile and transitioning into sorrow/tears.\", \"reason_2\": \"Video 2 fails completely to show the initial state of joy; the character is crying and grimacing from the very first frame.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Initial State Fidelity (Joy & Smile)\", \"reason_1\": \"Video 1 explicitly renders the 'lips curling into a genuine smile' and 'eyes sparkling with joy' as the starting point.\", \"reason_2\": \"Video 2 ignores the instruction for a happy start, presenting a subject in deep distress immediately.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Transition Specificity (Shadow/Fade)\", \"reason_1\": \"Video 1 captures the 'sudden' nature of the shift, though the 'shadow' is interpreted as a stylistic fade rather than a lighting change.\", \"reason_2\": \"Video 2 lacks a distinct transition event; the emotion is static and continuous throughout the clip.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 followed the chronological instructions of the prompt, whereas Video 2 ignored the first half of the prompt entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 utilizes a flat, 2D anime art style with limited texture detail.\", \"reason_2\": \"Video 2 features high-quality photorealistic textures, skin details, and lighting.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Facial Muscle Dynamics\", \"reason_1\": \"The facial movement in Video 1 is somewhat mechanical, relying on simple shape morphing.\", \"reason_2\": \"Video 2 displays complex, realistic micro-movements of the face associated with crying.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The character's features remain consistent within the anime style.\", \"reason_2\": \"The actor's identity is perfectly preserved throughout the clip.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior technical generation capabilities with photorealistic textures and fluid motion, whereas Video 1 is a simpler 2D animation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Arc Completeness\", \"reason_1\": \"Video 1 tells the complete micro-story of a mood shift from happy to sad.\", \"reason_2\": \"Video 2 lacks a narrative arc, presenting only a single emotional state.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Lighting (Sunlit vs. Soft)\", \"reason_1\": \"Video 1 incorporates a bright, lens-flare aesthetic that aligns with the 'sunlit landscape' metaphor in the prompt.\", \"reason_2\": \"Video 2 uses standard indoor lighting which, while realistic, misses the specific 'sunlit' atmospheric cue.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Impact & Poignancy\", \"reason_1\": \"The contrast between the smile and the tears in Video 1 creates the requested 'poignant stillness'.\", \"reason_2\": \"While the crying is realistic, the lack of emotional contrast reduces the specific poignant impact requested by the prompt.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully conveys the requested narrative arc and atmospheric lighting, while Video 2 feels like a static stock clip of sadness.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner because it accurately executes the specific temporal narrative requested in the prompt: starting with joy and transitioning to sorrow. Video 2, while photorealistic, completely fails the semantic requirement of the initial state, depicting a character who is already crying and distressed from the very first frame, ignoring the instruction for a 'genuine smile' and 'sparkling joy'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Temporal Emotional Progression", "reason_1": "Video 1 clearly depicts the requested sequence: starting with a smile and transitioning into sorrow/tears.", "reason_2": "Video 2 fails completely to show the initial state of joy; the character is crying and grimacing from the very first frame.", "score_1": 9, "score_2": 1}, {"name": "Initial State Fidelity (Joy & Smile)", "reason_1": "Video 1 explicitly renders the 'lips curling into a genuine smile' and 'eyes sparkling with joy' as the starting point.", "reason_2": "Video 2 ignores the instruction for a happy start, presenting a subject in deep distress immediately.", "score_1": 9, "score_2": 1}, {"name": "Transition Specificity (Shadow/Fade)", "reason_1": "Video 1 captures the 'sudden' nature of the shift, though the 'shadow' is interpreted as a stylistic fade rather than a lighting change.", "reason_2": "Video 2 lacks a distinct transition event; the emotion is static and continuous throughout the clip.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 followed the chronological instructions of the prompt, whereas Video 2 ignored the first half of the prompt entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture", "reason_1": "Video 1 utilizes a flat, 2D anime art style with limited texture detail.", "reason_2": "Video 2 features high-quality photorealistic textures, skin details, and lighting.", "score_1": 2, "score_2": 8}, {"name": "Facial Muscle Dynamics", "reason_1": "The facial movement in Video 1 is somewhat mechanical, relying on simple shape morphing.", "reason_2": "Video 2 displays complex, realistic micro-movements of the face associated with crying.", "score_1": 3, "score_2": 7}, {"name": "Subject Identity Persistence", "reason_1": "The character's features remain consistent within the anime style.", "reason_2": "The actor's identity is perfectly preserved throughout the clip.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior technical generation capabilities with photorealistic textures and fluid motion, whereas Video 1 is a simpler 2D animation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Arc Completeness", "reason_1": "Video 1 tells the complete micro-story of a mood shift from happy to sad.", "reason_2": "Video 2 lacks a narrative arc, presenting only a single emotional state.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Lighting (Sunlit vs. Soft)", "reason_1": "Video 1 incorporates a bright, lens-flare aesthetic that aligns with the 'sunlit landscape' metaphor in the prompt.", "reason_2": "Video 2 uses standard indoor lighting which, while realistic, misses the specific 'sunlit' atmospheric cue.", "score_1": 7, "score_2": 3}, {"name": "Emotional Impact & Poignancy", "reason_1": "The contrast between the smile and the tears in Video 1 creates the requested 'poignant stillness'.", "reason_2": "While the crying is realistic, the lack of emotional contrast reduces the specific poignant impact requested by the prompt.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully conveys the requested narrative arc and atmospheric lighting, while Video 2 feels like a static stock clip of sadness.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner because it accurately executes the specific temporal narrative requested in the prompt: starting with joy and transitioning to sorrow. Video 2, while photorealistic, completely fails the semantic requirement of the initial state, depicting a character who is already crying and distressed from the very first frame, ignoring the instruction for a 'genuine smile' and 'sparkling joy'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 57.0, "total_score_2": 33.0, "elapsed_sec": 53.573} +{"pair_id": "049_seed_310", "sample_index": 49, "seed": 310, "prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_310_In a serene softly lit room the camera remains fix.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_310_In a serene softly lit room the camera remains fix.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_310_In a serene softly lit room the camera remains fix.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_310_In a serene softly lit room the camera remains fix.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Temporal Emotional Progression\", \"reason_1\": \"Video 1 is a static image with no change in expression, completely failing the prompt's instruction for a transformation from joy to sorrow.\", \"reason_2\": \"Video 2 depicts a clear shift in expression, moving from a smile to a furrowed, crying face, aligning well with the requested narrative arc.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Specific Facial Attribute Rendering\", \"reason_1\": \"Video 1 renders a smile, but the eyes are blank white (zombie-like) rather than 'sparkling with joy', and the tears are static drawings.\", \"reason_2\": \"Video 2 renders realistic furrowing brows, glistening eyes, and a fading smile, capturing the specific physical attributes requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Lighting & Context\", \"reason_1\": \"Video 1 has a bright, anime-style background that fits the 'serene room' description but lacks the 'softly lit' nuance.\", \"reason_2\": \"Video 2 features realistic, soft lighting that enhances the emotional mood, though the background is somewhat indistinct.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 follows the prompt's narrative instructions regarding the change in emotion, whereas Video 1 ignores the temporal aspect entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Presence & Fluidity\", \"reason_1\": \"Video 1 is effectively a still image; there is no perceptible motion or animation.\", \"reason_2\": \"Video 2 contains fluid motion of the facial muscles and head, qualifying it as a video.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is perfectly stable because it does not move.\", \"reason_2\": \"Video 2 suffers from significant distortion and warping of the facial features (nose and mouth) as the expression changes.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 is a clean, sharp 2D anime illustration.\", \"reason_2\": \"Video 2 has a 'muddy' texture and lower resolution appearance, with noticeable generation artifacts.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Although Video 1 is cleaner, it fails the fundamental definition of a video by being static. Video 2 has motion, despite some morphological instability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Human Experience\", \"reason_1\": \"The static, blank-eyed expression in Video 1 feels unnatural and fails to convey the 'raw, human experience' requested.\", \"reason_2\": \"Video 2 effectively conveys a sense of sadness and emotional transition, creating a stronger empathetic connection.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 captures only a single frozen moment, missing the story of the 'cloud passing over a sunlit landscape'.\", \"reason_2\": \"Video 2 tells the complete micro-story of the emotional shift described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 adheres to the fixed camera and blurred background instruction.\", \"reason_2\": \"Video 2 also adheres to the fixed camera and blurred background instruction.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the emotional weight and narrative flow required by the prompt, while Video 1 lacks narrative progression.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Facial Animation & Expressiveness\", \"dims\": [{\"name\": \"Micro-Expression Dynamics\", \"reason_1\": \"Video 1 lacks any micro-expressions; the face is frozen.\", \"reason_2\": \"Video 2 shows the subtle shifting of the mouth and eyes associated with crying, fulfilling the 'nuanced dance' requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Tear Generation & Physics\", \"reason_1\": \"Video 1 uses stylized, static blue lines to represent tears, which is a symbolic rather than realistic representation.\", \"reason_2\": \"Video 2 generates actual liquid tears that roll down the face, adding to the realism of the sorrow.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Brow & Eye Articulation\", \"reason_1\": \"The brows and eyes in Video 1 are static drawings.\", \"reason_2\": \"Video 2 animates the furrowing of the brows and the widening of the eyes, directly addressing the prompt's specific anatomical instructions.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"This personalized category highlights the specific requirement for facial animation, where Video 2 excels and Video 1 fails.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully attempts the core requirement of the prompt: a dynamic transformation of facial expressions from joy to sorrow. While Video 2 suffers from some morphological instability (warping), it captures the narrative arc, the specific facial muscle movements (furrowing brows, glistening eyes), and the emotional shift. Video 1, conversely, is essentially a static image with no discernible motion or emotional progression, failing to depict the 'dance of emotions' or the 'swift transformation' requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Temporal Emotional Progression", "reason_1": "Video 1 is a static image with no change in expression, completely failing the prompt's instruction for a transformation from joy to sorrow.", "reason_2": "Video 2 depicts a clear shift in expression, moving from a smile to a furrowed, crying face, aligning well with the requested narrative arc.", "score_1": 1, "score_2": 9}, {"name": "Specific Facial Attribute Rendering", "reason_1": "Video 1 renders a smile, but the eyes are blank white (zombie-like) rather than 'sparkling with joy', and the tears are static drawings.", "reason_2": "Video 2 renders realistic furrowing brows, glistening eyes, and a fading smile, capturing the specific physical attributes requested.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Lighting & Context", "reason_1": "Video 1 has a bright, anime-style background that fits the 'serene room' description but lacks the 'softly lit' nuance.", "reason_2": "Video 2 features realistic, soft lighting that enhances the emotional mood, though the background is somewhat indistinct.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 follows the prompt's narrative instructions regarding the change in emotion, whereas Video 1 ignores the temporal aspect entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Presence & Fluidity", "reason_1": "Video 1 is effectively a still image; there is no perceptible motion or animation.", "reason_2": "Video 2 contains fluid motion of the facial muscles and head, qualifying it as a video.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "Video 1 is perfectly stable because it does not move.", "reason_2": "Video 2 suffers from significant distortion and warping of the facial features (nose and mouth) as the expression changes.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 is a clean, sharp 2D anime illustration.", "reason_2": "Video 2 has a 'muddy' texture and lower resolution appearance, with noticeable generation artifacts.", "score_1": 7, "score_2": 3}], "cat_reason": "Although Video 1 is cleaner, it fails the fundamental definition of a video by being static. Video 2 has motion, despite some morphological instability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Human Experience", "reason_1": "The static, blank-eyed expression in Video 1 feels unnatural and fails to convey the 'raw, human experience' requested.", "reason_2": "Video 2 effectively conveys a sense of sadness and emotional transition, creating a stronger empathetic connection.", "score_1": 2, "score_2": 8}, {"name": "Narrative Completeness", "reason_1": "Video 1 captures only a single frozen moment, missing the story of the 'cloud passing over a sunlit landscape'.", "reason_2": "Video 2 tells the complete micro-story of the emotional shift described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 adheres to the fixed camera and blurred background instruction.", "reason_2": "Video 2 also adheres to the fixed camera and blurred background instruction.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the emotional weight and narrative flow required by the prompt, while Video 1 lacks narrative progression.", "cat_winner": "Video 2"}, {"name": "D. Facial Animation & Expressiveness", "dims": [{"name": "Micro-Expression Dynamics", "reason_1": "Video 1 lacks any micro-expressions; the face is frozen.", "reason_2": "Video 2 shows the subtle shifting of the mouth and eyes associated with crying, fulfilling the 'nuanced dance' requirement.", "score_1": 1, "score_2": 9}, {"name": "Tear Generation & Physics", "reason_1": "Video 1 uses stylized, static blue lines to represent tears, which is a symbolic rather than realistic representation.", "reason_2": "Video 2 generates actual liquid tears that roll down the face, adding to the realism of the sorrow.", "score_1": 2, "score_2": 8}, {"name": "Brow & Eye Articulation", "reason_1": "The brows and eyes in Video 1 are static drawings.", "reason_2": "Video 2 animates the furrowing of the brows and the widening of the eyes, directly addressing the prompt's specific anatomical instructions.", "score_1": 1, "score_2": 9}], "cat_reason": "This personalized category highlights the specific requirement for facial animation, where Video 2 excels and Video 1 fails.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully attempts the core requirement of the prompt: a dynamic transformation of facial expressions from joy to sorrow. While Video 2 suffers from some morphological instability (warping), it captures the narrative arc, the specific facial muscle movements (furrowing brows, glistening eyes), and the emotional shift. Video 1, conversely, is essentially a static image with no discernible motion or emotional progression, failing to depict the 'dance of emotions' or the 'swift transformation' requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 37.0, "total_score_2": 83.0, "elapsed_sec": 69.692} +{"pair_id": "049_seed_930", "sample_index": 49, "seed": 930, "prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Temporal Narrative Progression (Joy to Sorrow)\", \"reason_1\": \"Video 1 clearly depicts the requested sequence: starting with a bright smile and transitioning into a sorrowful expression with furrowed brows.\", \"reason_2\": \"Video 2 fails to show the transition; the character appears to be in a state of distress or crying from the very first frame, missing the 'initial joy' requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Initial Emotional State (Joy & Warmth)\", \"reason_1\": \"Video 1 perfectly captures the 'sparkling eyes' and 'genuine smile' described in the prompt's opening.\", \"reason_2\": \"Video 2 completely misses the 'warmth and happiness' aspect, presenting a grimacing, pained expression throughout.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Specific Attribute Rendering (Tears & Furrows)\", \"reason_1\": \"Video 1 renders the specific details of the prompt, including the glistening eyes and the furrowing of the brows during the transition.\", \"reason_2\": \"While Video 2 has tears, it lacks the specific 'shadow crossing features' or the distinct change in brow shape requested, as the face is static in its distress.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 followed the chronological instructions of the prompt, showing the specific change in emotion. Video 2 ignored the 'initial joy' instruction entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"The character's facial structure in Video 1 remains consistent and solid throughout the animation.\", \"reason_2\": \"Video 2 exhibits severe warping and instability, particularly around the mouth and teeth, which shift unnaturally during the clip.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"Video 1 is a clean, sharp anime-style generation with no noise.\", \"reason_2\": \"Video 2 attempts photorealism but results in a muddy, low-contrast image with noticeable generation artifacts.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The movement in Video 1 is fluid and intentional, matching the anime aesthetic.\", \"reason_2\": \"The motion in Video 2 feels jittery and lacks a clear direction, appearing more like a morphing glitch than human movement.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability within its anime style. Video 2 suffers from significant morphological instability and artifacts in the facial features.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Arc & Impact\", \"reason_1\": \"Video 1 effectively conveys the 'poignant stillness' and the shift in mood, creating a complete micro-narrative.\", \"reason_2\": \"Video 2 lacks emotional range, presenting a single, confusing note of distress that fails to engage the viewer.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Atmospheric Tone\", \"reason_1\": \"Video 1 utilizes the 'softly lit' and 'sunlit' aesthetic well, with warm highlights that contrast with the sad ending.\", \"reason_2\": \"Video 2 has flat, dull lighting that fails to evoke the 'serene' or 'sunlit' atmosphere described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Character Expressiveness\", \"reason_1\": \"The character in Video 1 displays a readable and distinct range of expressions.\", \"reason_2\": \"The expression in Video 2 is ambiguous and distorted, making it difficult to read the character's internal state.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully tells the emotional story requested. Video 2 is emotionally stagnant and visually confusing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the complex temporal narrative required by the prompt: starting with joy and transitioning into sorrow. It captures the specific emotional arc (smile to furrowed brows) and the atmospheric lighting. Video 2 fails significantly on semantic alignment; it depicts a character who appears to be in distress or crying from the very first frame, completely missing the 'initial joy' and 'warmth' mandated by the prompt. Additionally, Video 2 suffers from severe morphological instability in the facial features.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Temporal Narrative Progression (Joy to Sorrow)", "reason_1": "Video 1 clearly depicts the requested sequence: starting with a bright smile and transitioning into a sorrowful expression with furrowed brows.", "reason_2": "Video 2 fails to show the transition; the character appears to be in a state of distress or crying from the very first frame, missing the 'initial joy' requirement.", "score_1": 9, "score_2": 1}, {"name": "Initial Emotional State (Joy & Warmth)", "reason_1": "Video 1 perfectly captures the 'sparkling eyes' and 'genuine smile' described in the prompt's opening.", "reason_2": "Video 2 completely misses the 'warmth and happiness' aspect, presenting a grimacing, pained expression throughout.", "score_1": 9, "score_2": 1}, {"name": "Specific Attribute Rendering (Tears & Furrows)", "reason_1": "Video 1 renders the specific details of the prompt, including the glistening eyes and the furrowing of the brows during the transition.", "reason_2": "While Video 2 has tears, it lacks the specific 'shadow crossing features' or the distinct change in brow shape requested, as the face is static in its distress.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 followed the chronological instructions of the prompt, showing the specific change in emotion. Video 2 ignored the 'initial joy' instruction entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "The character's facial structure in Video 1 remains consistent and solid throughout the animation.", "reason_2": "Video 2 exhibits severe warping and instability, particularly around the mouth and teeth, which shift unnaturally during the clip.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Definition", "reason_1": "Video 1 is a clean, sharp anime-style generation with no noise.", "reason_2": "Video 2 attempts photorealism but results in a muddy, low-contrast image with noticeable generation artifacts.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Coherence", "reason_1": "The movement in Video 1 is fluid and intentional, matching the anime aesthetic.", "reason_2": "The motion in Video 2 feels jittery and lacks a clear direction, appearing more like a morphing glitch than human movement.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability within its anime style. Video 2 suffers from significant morphological instability and artifacts in the facial features.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Arc & Impact", "reason_1": "Video 1 effectively conveys the 'poignant stillness' and the shift in mood, creating a complete micro-narrative.", "reason_2": "Video 2 lacks emotional range, presenting a single, confusing note of distress that fails to engage the viewer.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Atmospheric Tone", "reason_1": "Video 1 utilizes the 'softly lit' and 'sunlit' aesthetic well, with warm highlights that contrast with the sad ending.", "reason_2": "Video 2 has flat, dull lighting that fails to evoke the 'serene' or 'sunlit' atmosphere described.", "score_1": 8, "score_2": 2}, {"name": "Character Expressiveness", "reason_1": "The character in Video 1 displays a readable and distinct range of expressions.", "reason_2": "The expression in Video 2 is ambiguous and distorted, making it difficult to read the character's internal state.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully tells the emotional story requested. Video 2 is emotionally stagnant and visually confusing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the complex temporal narrative required by the prompt: starting with joy and transitioning into sorrow. It captures the specific emotional arc (smile to furrowed brows) and the atmospheric lighting. Video 2 fails significantly on semantic alignment; it depicts a character who appears to be in distress or crying from the very first frame, completely missing the 'initial joy' and 'warmth' mandated by the prompt. Additionally, Video 2 suffers from severe morphological instability in the facial features.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 60.55} +{"pair_id": "050_seed_42", "sample_index": 50, "seed": 42, "prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Emotional Arc Fidelity (Shock to Relief)\", \"reason_1\": \"Video 1 depicts a static state of shock throughout the entire clip, completely failing to show the requested transition to relief or a smile.\", \"reason_2\": \"Video 2 perfectly captures the requested sequence: the initial shock is followed by a distinct relaxation of features and the emergence of a smile.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Movement (Swift Zoom)\", \"reason_1\": \"Video 1 features a very subtle, slow push-in that lacks the 'swift' nature requested by the prompt.\", \"reason_2\": \"Video 2 executes a dramatic and swift zoom that effectively focuses attention on the facial expression changes as requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Atmosphere (Lighting)\", \"reason_1\": \"Video 1 has a relatively flat, bright anime lighting style that misses the 'dimly lit' and 'play of light and shadow' description.\", \"reason_2\": \"Video 2 features realistic, moody lighting with distinct shadows on the face, aligning well with the 'dimly lit' and dramatic atmosphere described.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the complex temporal instructions of the prompt, specifically the transition of emotions and the camera movement, whereas Video 1 failed to depict the resolution of the scene.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Muscle Dynamics & Realism\", \"reason_1\": \"The facial movement in Video 1 is limited to simple 2D deformation, lacking the nuance of a real human reaction.\", \"reason_2\": \"Video 2 showcases impressive dynamic realism, with the eyes, mouth, and cheeks moving naturally to convey the shift in emotion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 is a clean anime render, but lacks the textural depth and detail of a photorealistic generation.\", \"reason_2\": \"Video 2 maintains high fidelity in skin texture and lighting details, creating a convincing photorealistic look.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is structurally stable with no warping artifacts.\", \"reason_2\": \"Video 2 is also stable, maintaining the subject's identity and facial structure perfectly even during the significant zoom and expression change.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior dynamic realism, particularly in the complex deformation of facial muscles required to show changing emotions.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 feels like a looped reaction GIF with no beginning or end, failing to tell the 'story' of the prompt.\", \"reason_2\": \"Video 2 has a clear beginning (shock), middle (transition), and end (relief), fulfilling the narrative requirements of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact & Acting\", \"reason_1\": \"The expression in Video 1 is exaggerated and static, limiting the emotional connection.\", \"reason_2\": \"The acting in Video 2 is nuanced and convincing, effectively conveying the internal shift from alarm to understanding.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing in Video 1 is standard but lacks the dramatic intensity provided by the lighting and zoom in the prompt.\", \"reason_2\": \"Video 2 uses the zoom and lighting to create a cinematic portrait that draws the viewer into the character's emotional state.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully tells the micro-story of a reaction and relief, whereas Video 1 feels like a static reaction shot without narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it faithfully executes the critical narrative arc requested in the prompt: the transition from shock to relief. While Video 1 captures the initial shock, it remains static in that emotion, completely missing the required shift to a 'relaxed state' and 'slight smile.' Video 2 also features a more dramatic and accurate camera zoom and superior lighting that matches the 'dimly lit' description.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Emotional Arc Fidelity (Shock to Relief)", "reason_1": "Video 1 depicts a static state of shock throughout the entire clip, completely failing to show the requested transition to relief or a smile.", "reason_2": "Video 2 perfectly captures the requested sequence: the initial shock is followed by a distinct relaxation of features and the emergence of a smile.", "score_1": 1, "score_2": 9}, {"name": "Camera Movement (Swift Zoom)", "reason_1": "Video 1 features a very subtle, slow push-in that lacks the 'swift' nature requested by the prompt.", "reason_2": "Video 2 executes a dramatic and swift zoom that effectively focuses attention on the facial expression changes as requested.", "score_1": 3, "score_2": 7}, {"name": "Environmental Atmosphere (Lighting)", "reason_1": "Video 1 has a relatively flat, bright anime lighting style that misses the 'dimly lit' and 'play of light and shadow' description.", "reason_2": "Video 2 features realistic, moody lighting with distinct shadows on the face, aligning well with the 'dimly lit' and dramatic atmosphere described.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the complex temporal instructions of the prompt, specifically the transition of emotions and the camera movement, whereas Video 1 failed to depict the resolution of the scene.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Muscle Dynamics & Realism", "reason_1": "The facial movement in Video 1 is limited to simple 2D deformation, lacking the nuance of a real human reaction.", "reason_2": "Video 2 showcases impressive dynamic realism, with the eyes, mouth, and cheeks moving naturally to convey the shift in emotion.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 is a clean anime render, but lacks the textural depth and detail of a photorealistic generation.", "reason_2": "Video 2 maintains high fidelity in skin texture and lighting details, creating a convincing photorealistic look.", "score_1": 4, "score_2": 6}, {"name": "Morphological Stability", "reason_1": "Video 1 is structurally stable with no warping artifacts.", "reason_2": "Video 2 is also stable, maintaining the subject's identity and facial structure perfectly even during the significant zoom and expression change.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior dynamic realism, particularly in the complex deformation of facial muscles required to show changing emotions.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Completeness", "reason_1": "Video 1 feels like a looped reaction GIF with no beginning or end, failing to tell the 'story' of the prompt.", "reason_2": "Video 2 has a clear beginning (shock), middle (transition), and end (relief), fulfilling the narrative requirements of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact & Acting", "reason_1": "The expression in Video 1 is exaggerated and static, limiting the emotional connection.", "reason_2": "The acting in Video 2 is nuanced and convincing, effectively conveying the internal shift from alarm to understanding.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition", "reason_1": "The framing in Video 1 is standard but lacks the dramatic intensity provided by the lighting and zoom in the prompt.", "reason_2": "Video 2 uses the zoom and lighting to create a cinematic portrait that draws the viewer into the character's emotional state.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully tells the micro-story of a reaction and relief, whereas Video 1 feels like a static reaction shot without narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it faithfully executes the critical narrative arc requested in the prompt: the transition from shock to relief. While Video 1 captures the initial shock, it remains static in that emotion, completely missing the required shift to a 'relaxed state' and 'slight smile.' Video 2 also features a more dramatic and accurate camera zoom and superior lighting that matches the 'dimly lit' description.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 56.801} +{"pair_id": "050_seed_310", "sample_index": 50, "seed": 310, "prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_310_A character stands in a dimly lit room initially c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_310_A character stands in a dimly lit room initially c.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_310_A character stands in a dimly lit room initially c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_310_A character stands in a dimly lit room initially c.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Emotional Arc Fidelity (Shock to Relief)\", \"reason_1\": \"Video 1 depicts a static state of mild surprise with no transition to relief or a smile.\", \"reason_2\": \"Video 2 perfectly captures the requested sequence: initial shock, followed by a distinct relaxation of features and a genuine smile indicating relief.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Atmosphere (Lighting)\", \"reason_1\": \"Video 1 features a bright, sun-drenched room with strong lens flares, contradicting the 'dimly lit' instruction.\", \"reason_2\": \"Video 2 utilizes a moody, desaturated, and dimly lit environment that aligns well with the prompt's atmospheric requirements.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Swift Zoom)\", \"reason_1\": \"Video 1 has a very subtle, slow push-in that lacks the 'swift' nature requested.\", \"reason_2\": \"Video 2 executes a more noticeable and dynamic zoom that emphasizes the facial expression change effectively.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the script's emotional timeline and environmental description, whereas Video 1 ignored the 'dimly lit' setting and the 'relief' ending.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Muscle Dynamics\", \"reason_1\": \"The facial movement in Video 1 is limited to simple mouth opening and blinking, lacking complex muscle interaction.\", \"reason_2\": \"Video 2 showcases complex deformation of the jaw, cheeks, and eyes, realistically simulating the physiological shift from shock to a smile.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Texture & Detail\", \"reason_1\": \"Video 1 is a clean 2D anime render, which is high quality but lacks the textural depth requested by the lighting description.\", \"reason_2\": \"Video 2 offers high-fidelity photorealistic textures (skin pores, hair) that interact realistically with the lighting.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is extremely stable with no warping, typical of 2D animation.\", \"reason_2\": \"Video 2 maintains good stability, though there is slight unnatural shifting in the teeth and jaw during the extreme expression change.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 demonstrates superior dynamic realism in facial muscle movement and texture rendering, whereas Video 1 is a simpler 2D animation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 feels like a looped reaction GIF with no beginning or resolution.\", \"reason_2\": \"Video 2 tells a complete micro-story: the event (shock) and the reaction (relief), fulfilling the narrative prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"The bright lighting and static expression in Video 1 fail to evoke the dramatic tension or subsequent relief described.\", \"reason_2\": \"The lighting and acting in Video 2 successfully create a mood of tension followed by release.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Focus (Bokeh & Framing)\", \"reason_1\": \"Video 1 has a blurred background, but the bright light sources distract from the face.\", \"reason_2\": \"Video 2 uses the blur effectively to isolate the face, keeping the viewer's attention strictly on the emotional shift.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 delivers a complete narrative beat with appropriate mood, while Video 1 feels like a static reaction shot without a story arc.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Character Performance & Expressiveness\", \"dims\": [{\"name\": \"Micro-Expression Nuance\", \"reason_1\": \"Video 1 lacks micro-expressions; the face remains largely rigid aside from the mouth.\", \"reason_2\": \"Video 2 captures subtle shifts in the eyebrows and eyes that convey the internal process of 'relief and understanding'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Transition Fluidity\", \"reason_1\": \"There is no transition in Video 1; the character remains in the same emotional state.\", \"reason_2\": \"Video 2 handles the difficult transition from a wide-open shock mouth to a closed, smiling mouth smoothly and naturally.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Eye Contact & Engagement\", \"reason_1\": \"The eyes in Video 1 are wide but static.\", \"reason_2\": \"The eyes in Video 2 actively change from wide/dilated to softer/narrower, enhancing the realism of the emotional shift.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This personalized category highlights the specific requirement for a 'vivid emotional journey,' where Video 2 excels in acting performance.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the complex emotional arc requested in the prompt, transitioning from shock to relief with a visible smile. It also correctly depicts the 'dimly lit' atmosphere. Video 1, while a clean anime generation, fails to capture the specific lighting (it is bright and sunny) and completely misses the narrative progression, remaining stuck in a static state of surprise without the required resolution.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Emotional Arc Fidelity (Shock to Relief)", "reason_1": "Video 1 depicts a static state of mild surprise with no transition to relief or a smile.", "reason_2": "Video 2 perfectly captures the requested sequence: initial shock, followed by a distinct relaxation of features and a genuine smile indicating relief.", "score_1": 1, "score_2": 9}, {"name": "Environmental Atmosphere (Lighting)", "reason_1": "Video 1 features a bright, sun-drenched room with strong lens flares, contradicting the 'dimly lit' instruction.", "reason_2": "Video 2 utilizes a moody, desaturated, and dimly lit environment that aligns well with the prompt's atmospheric requirements.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Swift Zoom)", "reason_1": "Video 1 has a very subtle, slow push-in that lacks the 'swift' nature requested.", "reason_2": "Video 2 executes a more noticeable and dynamic zoom that emphasizes the facial expression change effectively.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the script's emotional timeline and environmental description, whereas Video 1 ignored the 'dimly lit' setting and the 'relief' ending.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Muscle Dynamics", "reason_1": "The facial movement in Video 1 is limited to simple mouth opening and blinking, lacking complex muscle interaction.", "reason_2": "Video 2 showcases complex deformation of the jaw, cheeks, and eyes, realistically simulating the physiological shift from shock to a smile.", "score_1": 2, "score_2": 8}, {"name": "Visual Texture & Detail", "reason_1": "Video 1 is a clean 2D anime render, which is high quality but lacks the textural depth requested by the lighting description.", "reason_2": "Video 2 offers high-fidelity photorealistic textures (skin pores, hair) that interact realistically with the lighting.", "score_1": 4, "score_2": 6}, {"name": "Morphological Stability", "reason_1": "Video 1 is extremely stable with no warping, typical of 2D animation.", "reason_2": "Video 2 maintains good stability, though there is slight unnatural shifting in the teeth and jaw during the extreme expression change.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 demonstrates superior dynamic realism in facial muscle movement and texture rendering, whereas Video 1 is a simpler 2D animation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Completeness", "reason_1": "Video 1 feels like a looped reaction GIF with no beginning or resolution.", "reason_2": "Video 2 tells a complete micro-story: the event (shock) and the reaction (relief), fulfilling the narrative prompt.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact & Mood", "reason_1": "The bright lighting and static expression in Video 1 fail to evoke the dramatic tension or subsequent relief described.", "reason_2": "The lighting and acting in Video 2 successfully create a mood of tension followed by release.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Focus (Bokeh & Framing)", "reason_1": "Video 1 has a blurred background, but the bright light sources distract from the face.", "reason_2": "Video 2 uses the blur effectively to isolate the face, keeping the viewer's attention strictly on the emotional shift.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 delivers a complete narrative beat with appropriate mood, while Video 1 feels like a static reaction shot without a story arc.", "cat_winner": "Video 2"}, {"name": "D. Character Performance & Expressiveness", "dims": [{"name": "Micro-Expression Nuance", "reason_1": "Video 1 lacks micro-expressions; the face remains largely rigid aside from the mouth.", "reason_2": "Video 2 captures subtle shifts in the eyebrows and eyes that convey the internal process of 'relief and understanding'.", "score_1": 2, "score_2": 8}, {"name": "Transition Fluidity", "reason_1": "There is no transition in Video 1; the character remains in the same emotional state.", "reason_2": "Video 2 handles the difficult transition from a wide-open shock mouth to a closed, smiling mouth smoothly and naturally.", "score_1": 1, "score_2": 9}, {"name": "Eye Contact & Engagement", "reason_1": "The eyes in Video 1 are wide but static.", "reason_2": "The eyes in Video 2 actively change from wide/dilated to softer/narrower, enhancing the realism of the emotional shift.", "score_1": 4, "score_2": 6}], "cat_reason": "This personalized category highlights the specific requirement for a 'vivid emotional journey,' where Video 2 excels in acting performance.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the complex emotional arc requested in the prompt, transitioning from shock to relief with a visible smile. It also correctly depicts the 'dimly lit' atmosphere. Video 1, while a clean anime generation, fails to capture the specific lighting (it is bright and sunny) and completely misses the narrative progression, remaining stuck in a static state of surprise without the required resolution.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 34.0, "total_score_2": 86.0, "elapsed_sec": 70.789} +{"pair_id": "050_seed_930", "sample_index": 50, "seed": 930, "prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Emotional Arc Fidelity (Shock to Relief)\", \"reason_1\": \"Video 1 perfectly captures the transition from a shocked, open-mouthed expression to a softening face and a distinct smile of relief.\", \"reason_2\": \"Video 2 remains stuck in a static state of shock throughout the entire clip, completely failing to generate the requested 'relief' or 'slight smile'.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Camera Movement (Swift Zoom)\", \"reason_1\": \"Video 1 executes a clear, swift zoom-in that focuses attention on the facial expression as requested.\", \"reason_2\": \"Video 2 features a very subtle, slow push-in that lacks the 'swift' and dramatic nature described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Lighting)\", \"reason_1\": \"Video 1 features realistic lighting with shadows and highlights on the face, aligning well with the 'dimly lit' and 'play of light' description.\", \"reason_2\": \"Video 2 uses flat, bright anime-style lighting that contradicts the 'dimly lit' and dramatic shadow requirements.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 followed the complex emotional instructions, specifically the transition from shock to relief. Video 2 failed to depict the second half of the prompt entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Muscle Dynamics\", \"reason_1\": \"The facial movement in Video 1 is highly realistic, showing the complex muscle shifts required to change from a gasp to a smile.\", \"reason_2\": \"Video 2 lacks dynamic facial movement; the expression is rigid and does not animate naturally over time.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 renders skin texture, hair, and clothing with high photorealistic fidelity.\", \"reason_2\": \"Video 2 is a lower-detail anime style generation, which, while clean, lacks the textural depth and realism implied by the lighting description.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion in Video 1 is fluid and continuous.\", \"reason_2\": \"Video 2 has a lower effective frame rate feel, appearing more like a sequence of slightly shifting images than a fluid video.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high-quality photorealistic rendering with complex facial muscle dynamics. Video 2 is a simpler 2D animation with limited motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 tells the complete micro-story: the surprise happens, and the character processes it into relief.\", \"reason_2\": \"Video 2 only depicts the initial surprise, leaving the narrative feeling incomplete and unresolved.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Emotional Impact\", \"reason_1\": \"The realistic acting in Video 1 effectively conveys the feeling of being startled and then relieved.\", \"reason_2\": \"The static expression in Video 2 fails to evoke a strong emotional response or convey the character's internal state change.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Focus\", \"reason_1\": \"The combination of the zoom and the lighting in Video 1 successfully directs the viewer's eye to the emotional shift.\", \"reason_2\": \"Video 2 lacks cinematic intent; the framing is standard and does not emphasize the 'vivid emotional journey' effectively.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully tells the short story of a reaction and a resolution. Video 2 is a static shot with no narrative progression.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner because it faithfully executes the full narrative arc required by the prompt, specifically the transition from shock to relief and the emergence of a smile. Video 2, while visually consistent as an anime style, fails to progress the emotional state, remaining stuck in a static expression of shock throughout the clip.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Emotional Arc Fidelity (Shock to Relief)", "reason_1": "Video 1 perfectly captures the transition from a shocked, open-mouthed expression to a softening face and a distinct smile of relief.", "reason_2": "Video 2 remains stuck in a static state of shock throughout the entire clip, completely failing to generate the requested 'relief' or 'slight smile'.", "score_1": 10, "score_2": 0}, {"name": "Camera Movement (Swift Zoom)", "reason_1": "Video 1 executes a clear, swift zoom-in that focuses attention on the facial expression as requested.", "reason_2": "Video 2 features a very subtle, slow push-in that lacks the 'swift' and dramatic nature described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Lighting)", "reason_1": "Video 1 features realistic lighting with shadows and highlights on the face, aligning well with the 'dimly lit' and 'play of light' description.", "reason_2": "Video 2 uses flat, bright anime-style lighting that contradicts the 'dimly lit' and dramatic shadow requirements.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 followed the complex emotional instructions, specifically the transition from shock to relief. Video 2 failed to depict the second half of the prompt entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Muscle Dynamics", "reason_1": "The facial movement in Video 1 is highly realistic, showing the complex muscle shifts required to change from a gasp to a smile.", "reason_2": "Video 2 lacks dynamic facial movement; the expression is rigid and does not animate naturally over time.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 renders skin texture, hair, and clothing with high photorealistic fidelity.", "reason_2": "Video 2 is a lower-detail anime style generation, which, while clean, lacks the textural depth and realism implied by the lighting description.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The motion in Video 1 is fluid and continuous.", "reason_2": "Video 2 has a lower effective frame rate feel, appearing more like a sequence of slightly shifting images than a fluid video.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high-quality photorealistic rendering with complex facial muscle dynamics. Video 2 is a simpler 2D animation with limited motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Completeness", "reason_1": "Video 1 tells the complete micro-story: the surprise happens, and the character processes it into relief.", "reason_2": "Video 2 only depicts the initial surprise, leaving the narrative feeling incomplete and unresolved.", "score_1": 9, "score_2": 1}, {"name": "Emotional Impact", "reason_1": "The realistic acting in Video 1 effectively conveys the feeling of being startled and then relieved.", "reason_2": "The static expression in Video 2 fails to evoke a strong emotional response or convey the character's internal state change.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Focus", "reason_1": "The combination of the zoom and the lighting in Video 1 successfully directs the viewer's eye to the emotional shift.", "reason_2": "Video 2 lacks cinematic intent; the framing is standard and does not emphasize the 'vivid emotional journey' effectively.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully tells the short story of a reaction and a resolution. Video 2 is a static shot with no narrative progression.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner because it faithfully executes the full narrative arc required by the prompt, specifically the transition from shock to relief and the emergence of a smile. Video 2, while visually consistent as an anime style, fails to progress the emotional state, remaining stuck in a static expression of shock throughout the clip.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 54.461} +{"pair_id": "051_seed_42", "sample_index": 51, "seed": 42, "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics (Young Woman vs. Child)\", \"reason_1\": \"Video 1 correctly depicts a 'young woman' as requested.\", \"reason_2\": \"Video 2 depicts a young child (approx. 8-10 years old), which contradicts the prompt's explicit instruction for a 'young woman'.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Expression Specificity (Lip Tremble & Emotion)\", \"reason_1\": \"Video 1 captures the 'subtle tremble' of the lips and the 'deep well of emotion' effectively.\", \"reason_2\": \"Video 2 shows a static expression with a slight smile, completely missing the 'trembling lips' and 'storm within' described.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Lighting (Golden Sunset)\", \"reason_1\": \"Video 1 features strong, warm, directional lighting that mimics a 'golden glow' of sunset.\", \"reason_2\": \"Video 2 has flat, neutral lighting that lacks the specific warm, golden sunset atmosphere requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement (Gentle Zoom)\", \"reason_1\": \"Video 1 executes a slow, gentle push-in that enhances the intimacy of the shot.\", \"reason_2\": \"Video 2 is largely static with negligible camera movement.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 aligns almost perfectly with the prompt's subject and action descriptions. Video 2 fails the fundamental subject requirement (age) and the specific emotional cues.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Micro-Detail\", \"reason_1\": \"Video 1 renders high-fidelity skin texture, including pores and the wetness of tears, creating a photorealistic look.\", \"reason_2\": \"Video 2 has a smoother, more 'plastic' appearance typical of lower-fidelity generation, lacking realistic skin imperfections.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Fluid Dynamics (Tear Realism)\", \"reason_1\": \"The tears in Video 1 have realistic viscosity, reflection, and flow down the cheek naturally.\", \"reason_2\": \"The tears in Video 2 appear somewhat painted on or static, lacking dynamic interaction with the skin surface.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Facial Muscle Dynamics\", \"reason_1\": \"Video 1 shows complex micro-movements in the brow and mouth that feel organic.\", \"reason_2\": \"Video 2 is very stiff, with almost no movement in the facial muscles other than blinking.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering and fluid dynamics, particularly in the skin and tears. Video 2 appears more artificial and static.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Vulnerability)\", \"reason_1\": \"Video 1 powerfully conveys the 'poignant moment of vulnerability' through the subject's gaze and expression.\", \"reason_2\": \"Video 2 fails to evoke the requested emotion, presenting a neutral/pleasant expression instead of a sad one.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Cinematic Lighting & Contrast\", \"reason_1\": \"Video 1 utilizes high-contrast lighting to create depth and drama, fitting the 'intricate play of light and shadow' description.\", \"reason_2\": \"Video 2 uses flat, even lighting that results in a less cinematic, more stock-photo aesthetic.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Focus & Composition\", \"reason_1\": \"The framing in Video 1 feels intentional and cinematic, drawing the eye to the emotional center.\", \"reason_2\": \"The composition in Video 2 is standard but lacks the dramatic intent required by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the poignant, cinematic mood requested. Video 2 lacks emotional weight and cinematic lighting.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it accurately depicts the requested subject (a young woman) and captures the specific emotional nuance (trembling lips, deep emotion) and lighting (golden sunset) described in the prompt. Video 2 fails significantly on semantic alignment by depicting a young child instead of a woman and lacking the requested emotional intensity and specific lighting atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics (Young Woman vs. Child)", "reason_1": "Video 1 correctly depicts a 'young woman' as requested.", "reason_2": "Video 2 depicts a young child (approx. 8-10 years old), which contradicts the prompt's explicit instruction for a 'young woman'.", "score_1": 10, "score_2": 0}, {"name": "Expression Specificity (Lip Tremble & Emotion)", "reason_1": "Video 1 captures the 'subtle tremble' of the lips and the 'deep well of emotion' effectively.", "reason_2": "Video 2 shows a static expression with a slight smile, completely missing the 'trembling lips' and 'storm within' described.", "score_1": 9, "score_2": 1}, {"name": "Environmental Lighting (Golden Sunset)", "reason_1": "Video 1 features strong, warm, directional lighting that mimics a 'golden glow' of sunset.", "reason_2": "Video 2 has flat, neutral lighting that lacks the specific warm, golden sunset atmosphere requested.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement (Gentle Zoom)", "reason_1": "Video 1 executes a slow, gentle push-in that enhances the intimacy of the shot.", "reason_2": "Video 2 is largely static with negligible camera movement.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 aligns almost perfectly with the prompt's subject and action descriptions. Video 2 fails the fundamental subject requirement (age) and the specific emotional cues.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Micro-Detail", "reason_1": "Video 1 renders high-fidelity skin texture, including pores and the wetness of tears, creating a photorealistic look.", "reason_2": "Video 2 has a smoother, more 'plastic' appearance typical of lower-fidelity generation, lacking realistic skin imperfections.", "score_1": 9, "score_2": 1}, {"name": "Fluid Dynamics (Tear Realism)", "reason_1": "The tears in Video 1 have realistic viscosity, reflection, and flow down the cheek naturally.", "reason_2": "The tears in Video 2 appear somewhat painted on or static, lacking dynamic interaction with the skin surface.", "score_1": 8, "score_2": 2}, {"name": "Facial Muscle Dynamics", "reason_1": "Video 1 shows complex micro-movements in the brow and mouth that feel organic.", "reason_2": "Video 2 is very stiff, with almost no movement in the facial muscles other than blinking.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior texture rendering and fluid dynamics, particularly in the skin and tears. Video 2 appears more artificial and static.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Vulnerability)", "reason_1": "Video 1 powerfully conveys the 'poignant moment of vulnerability' through the subject's gaze and expression.", "reason_2": "Video 2 fails to evoke the requested emotion, presenting a neutral/pleasant expression instead of a sad one.", "score_1": 10, "score_2": 0}, {"name": "Cinematic Lighting & Contrast", "reason_1": "Video 1 utilizes high-contrast lighting to create depth and drama, fitting the 'intricate play of light and shadow' description.", "reason_2": "Video 2 uses flat, even lighting that results in a less cinematic, more stock-photo aesthetic.", "score_1": 9, "score_2": 1}, {"name": "Focus & Composition", "reason_1": "The framing in Video 1 feels intentional and cinematic, drawing the eye to the emotional center.", "reason_2": "The composition in Video 2 is standard but lacks the dramatic intent required by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the poignant, cinematic mood requested. Video 2 lacks emotional weight and cinematic lighting.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it accurately depicts the requested subject (a young woman) and captures the specific emotional nuance (trembling lips, deep emotion) and lighting (golden sunset) described in the prompt. Video 2 fails significantly on semantic alignment by depicting a young child instead of a woman and lacking the requested emotional intensity and specific lighting atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 87.0, "total_score_2": 13.0, "elapsed_sec": 58.074} +{"pair_id": "051_seed_310", "sample_index": 51, "seed": 310, "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_310_In the golden glow of sunset a young womans face i.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_310_In the golden glow of sunset a young womans face i.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_310_In the golden glow of sunset a young womans face i.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_310_In the golden glow of sunset a young womans face i.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement (Gentle Zoom)\", \"reason_1\": \"Video 1 is essentially a static shot with no perceptible camera movement, failing the 'zoom in' instruction.\", \"reason_2\": \"Video 2 executes a smooth, gradual zoom that effectively narrows the focus on the subject's face as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Fidelity (Unshed Tears)\", \"reason_1\": \"Video 1 depicts the eyes as red and watery, but lacks the distinct 'shimmering' or visible tear drops described.\", \"reason_2\": \"Video 2 clearly renders tears on the cheeks and a wet sheen in the eyes, aligning perfectly with the 'shimmering with unshed tears' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Expression Nuance (Lip Tremble)\", \"reason_1\": \"Video 1 shows a slight mouth movement, but it feels more like a generic talking motion than a specific 'tremble'.\", \"reason_2\": \"Video 2 captures a subtle, micro-movement in the mouth that effectively conveys the requested 'subtle tremble' and emotional suppression.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the critical camera movement instruction and the specific attribute details (tears) much better than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity (Skin Texture)\", \"reason_1\": \"The skin texture in Video 1 appears somewhat waxy and lacks the high-frequency detail seen in the other video.\", \"reason_2\": \"Video 2 renders skin pores, imperfections, and lighting interactions with high realism and sharpness.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Interaction (Golden Glow)\", \"reason_1\": \"The lighting in Video 1 is warm but flat, lacking the dynamic 'play of light and shadow' requested.\", \"reason_2\": \"Video 2 features strong backlighting that creates a realistic rim light and subsurface scattering effect on the skin, enhancing the 'golden glow'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is stable, largely because there is very little movement to cause distortion.\", \"reason_2\": \"Video 2 maintains excellent structural integrity of the face throughout the zoom and expression changes.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior texture rendering and lighting interaction, creating a more photorealistic image.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Vulnerability)\", \"reason_1\": \"The static nature and lack of clear tears make the emotion in Video 1 feel somewhat muted and less impactful.\", \"reason_2\": \"The combination of the zoom, the visible tears, and the lighting creates a strong sense of 'poignant vulnerability' and 'raw emotion'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is standard but lacks the dynamic change that would elevate it to a cinematic shot.\", \"reason_2\": \"The use of the zoom to transition from a close-up to a tighter focus on the eyes creates a strong cinematic narrative flow.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Tone (Sunset Hues)\", \"reason_1\": \"Video 1 has a general warm tone but misses the specific 'dancing hues' in the eyes.\", \"reason_2\": \"Video 2 captures the specific color palette of a sunset, with warm oranges and golds reflecting in the subject's eyes and hair.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully evokes the poignant and vulnerable mood through better composition and emotional acting.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the specific camera movement instruction ('gently zooms in') which is absent in Video 1. Furthermore, Video 2 renders the 'unshed tears' and 'golden glow' with significantly higher fidelity and emotional impact, whereas Video 1 remains static and lacks the distinct tear details requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement (Gentle Zoom)", "reason_1": "Video 1 is essentially a static shot with no perceptible camera movement, failing the 'zoom in' instruction.", "reason_2": "Video 2 executes a smooth, gradual zoom that effectively narrows the focus on the subject's face as requested.", "score_1": 1, "score_2": 9}, {"name": "Attribute Fidelity (Unshed Tears)", "reason_1": "Video 1 depicts the eyes as red and watery, but lacks the distinct 'shimmering' or visible tear drops described.", "reason_2": "Video 2 clearly renders tears on the cheeks and a wet sheen in the eyes, aligning perfectly with the 'shimmering with unshed tears' description.", "score_1": 3, "score_2": 7}, {"name": "Expression Nuance (Lip Tremble)", "reason_1": "Video 1 shows a slight mouth movement, but it feels more like a generic talking motion than a specific 'tremble'.", "reason_2": "Video 2 captures a subtle, micro-movement in the mouth that effectively conveys the requested 'subtle tremble' and emotional suppression.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the critical camera movement instruction and the specific attribute details (tears) much better than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity (Skin Texture)", "reason_1": "The skin texture in Video 1 appears somewhat waxy and lacks the high-frequency detail seen in the other video.", "reason_2": "Video 2 renders skin pores, imperfections, and lighting interactions with high realism and sharpness.", "score_1": 3, "score_2": 7}, {"name": "Lighting Interaction (Golden Glow)", "reason_1": "The lighting in Video 1 is warm but flat, lacking the dynamic 'play of light and shadow' requested.", "reason_2": "Video 2 features strong backlighting that creates a realistic rim light and subsurface scattering effect on the skin, enhancing the 'golden glow'.", "score_1": 4, "score_2": 6}, {"name": "Morphological Stability", "reason_1": "Video 1 is stable, largely because there is very little movement to cause distortion.", "reason_2": "Video 2 maintains excellent structural integrity of the face throughout the zoom and expression changes.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior texture rendering and lighting interaction, creating a more photorealistic image.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Vulnerability)", "reason_1": "The static nature and lack of clear tears make the emotion in Video 1 feel somewhat muted and less impactful.", "reason_2": "The combination of the zoom, the visible tears, and the lighting creates a strong sense of 'poignant vulnerability' and 'raw emotion'.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition", "reason_1": "The framing is standard but lacks the dynamic change that would elevate it to a cinematic shot.", "reason_2": "The use of the zoom to transition from a close-up to a tighter focus on the eyes creates a strong cinematic narrative flow.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Tone (Sunset Hues)", "reason_1": "Video 1 has a general warm tone but misses the specific 'dancing hues' in the eyes.", "reason_2": "Video 2 captures the specific color palette of a sunset, with warm oranges and golds reflecting in the subject's eyes and hair.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully evokes the poignant and vulnerable mood through better composition and emotional acting.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the specific camera movement instruction ('gently zooms in') which is absent in Video 1. Furthermore, Video 2 renders the 'unshed tears' and 'golden glow' with significantly higher fidelity and emotional impact, whereas Video 1 remains static and lacks the distinct tear details requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 57.516} +{"pair_id": "051_seed_930", "sample_index": 51, "seed": 930, "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Delicate Features)\", \"reason_1\": \"Video 1 renders the subject with harsh, reddish skin tones and visible blemishes, failing to capture the 'delicate' attribute requested.\", \"reason_2\": \"Video 2 renders the subject with smooth, soft skin and delicate features, aligning perfectly with the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Expression Nuance (Trembling Lips)\", \"reason_1\": \"The mouth movement in Video 1 is somewhat erratic and lacks the specific 'subtle tremble' requested, appearing more like a generic open-mouthed expression.\", \"reason_2\": \"Video 2 captures a very subtle, realistic micro-movement of the lips that effectively conveys the 'storm within' without exaggeration.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Lighting (Golden Glow)\", \"reason_1\": \"Video 1 has a warm tone, but the lighting feels flat and lacks the dynamic 'play of light and shadow' described.\", \"reason_2\": \"Video 2 features a rich, cinematic golden hour lighting setup that creates depth and highlights the contours of the face effectively.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the 'delicate features' and 'subtle' trembling described in the prompt. Video 1 fails the 'delicate' descriptor due to harsh skin rendering and the 'subtle' descriptor due to erratic mouth movements.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Visual Fidelity\", \"reason_1\": \"The skin texture in Video 1 is noisy and blotchy, resembling a low-quality generation with visible artifacts.\", \"reason_2\": \"Video 2 displays high-resolution skin texture with realistic pores and lighting interaction, maintaining a photorealistic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Fluid Physics (Tear Realism)\", \"reason_1\": \"The tear in Video 1 appears as a static, opaque white streak that looks painted on rather than a liquid.\", \"reason_2\": \"Video 2 renders the tear with appropriate transparency, reflection, and wetness, looking physically plausible.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 exhibits slight warping around the mouth and eyes during movement.\", \"reason_2\": \"Video 2 maintains excellent structural integrity of the facial features throughout the clip.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior technical execution with high-fidelity skin texture and realistic fluid physics. Video 1 suffers from low-quality texture generation and unrealistic tear rendering.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"The harsh visuals and awkward expression in Video 1 detract significantly from the intended poignant mood.\", \"reason_2\": \"Video 2 successfully evokes a sense of vulnerability and raw emotion through soft lighting and a convincing performance.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing in Video 1 is extremely tight and feels slightly claustrophobic.\", \"reason_2\": \"Video 2 uses a balanced close-up that allows the viewer to appreciate the lighting and expression without feeling cramped.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually unappealing due to the redness of the skin and the artificial look of the tear.\", \"reason_2\": \"Video 2 is aesthetically pleasing, resembling a high-quality film shot with beautiful color grading.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 creates a genuinely poignant and cinematic moment that matches the emotional weight of the prompt. Video 1 feels more like a technical test with less artistic merit.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully captures the 'delicate' and 'poignant' aesthetic required by the prompt with high visual fidelity. It renders realistic skin texture, convincing lighting, and subtle emotional micro-expressions. Video 1, conversely, suffers from harsh, blotchy skin textures, unnatural tear rendering, and exaggerated mouth movements that detract from the requested subtlety.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Delicate Features)", "reason_1": "Video 1 renders the subject with harsh, reddish skin tones and visible blemishes, failing to capture the 'delicate' attribute requested.", "reason_2": "Video 2 renders the subject with smooth, soft skin and delicate features, aligning perfectly with the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Expression Nuance (Trembling Lips)", "reason_1": "The mouth movement in Video 1 is somewhat erratic and lacks the specific 'subtle tremble' requested, appearing more like a generic open-mouthed expression.", "reason_2": "Video 2 captures a very subtle, realistic micro-movement of the lips that effectively conveys the 'storm within' without exaggeration.", "score_1": 3, "score_2": 7}, {"name": "Environmental Lighting (Golden Glow)", "reason_1": "Video 1 has a warm tone, but the lighting feels flat and lacks the dynamic 'play of light and shadow' described.", "reason_2": "Video 2 features a rich, cinematic golden hour lighting setup that creates depth and highlights the contours of the face effectively.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the 'delicate features' and 'subtle' trembling described in the prompt. Video 1 fails the 'delicate' descriptor due to harsh skin rendering and the 'subtle' descriptor due to erratic mouth movements.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Visual Fidelity", "reason_1": "The skin texture in Video 1 is noisy and blotchy, resembling a low-quality generation with visible artifacts.", "reason_2": "Video 2 displays high-resolution skin texture with realistic pores and lighting interaction, maintaining a photorealistic look.", "score_1": 2, "score_2": 8}, {"name": "Fluid Physics (Tear Realism)", "reason_1": "The tear in Video 1 appears as a static, opaque white streak that looks painted on rather than a liquid.", "reason_2": "Video 2 renders the tear with appropriate transparency, reflection, and wetness, looking physically plausible.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "Video 1 exhibits slight warping around the mouth and eyes during movement.", "reason_2": "Video 2 maintains excellent structural integrity of the facial features throughout the clip.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior technical execution with high-fidelity skin texture and realistic fluid physics. Video 1 suffers from low-quality texture generation and unrealistic tear rendering.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Mood", "reason_1": "The harsh visuals and awkward expression in Video 1 detract significantly from the intended poignant mood.", "reason_2": "Video 2 successfully evokes a sense of vulnerability and raw emotion through soft lighting and a convincing performance.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition & Framing", "reason_1": "The framing in Video 1 is extremely tight and feels slightly claustrophobic.", "reason_2": "Video 2 uses a balanced close-up that allows the viewer to appreciate the lighting and expression without feeling cramped.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually unappealing due to the redness of the skin and the artificial look of the tear.", "reason_2": "Video 2 is aesthetically pleasing, resembling a high-quality film shot with beautiful color grading.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 creates a genuinely poignant and cinematic moment that matches the emotional weight of the prompt. Video 1 feels more like a technical test with less artistic merit.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully captures the 'delicate' and 'poignant' aesthetic required by the prompt with high visual fidelity. It renders realistic skin texture, convincing lighting, and subtle emotional micro-expressions. Video 1, conversely, suffers from harsh, blotchy skin textures, unnatural tear rendering, and exaggerated mouth movements that detract from the requested subtlety.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 56.995} +{"pair_id": "052_seed_42", "sample_index": 52, "seed": 42, "prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_42_In a bustling city square two distinct groups conv.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_42_In a bustling city square two distinct groups conv.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_42_In a bustling city square two distinct groups conv.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_42_In a bustling city square two distinct groups conv.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Group Distinction & Attire Contrast\", \"reason_1\": \"Video 1 fails to separate the groups; the subjects are a homogenous mix of casual clothing with no clear 'vibrant' vs 'subdued' split.\", \"reason_2\": \"Video 2 clearly distinguishes two sides: a group on the left with bright blue/yellow flags and colorful jackets, and a group on the right with large orange flags and darker, more subdued clothing.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Prop Fidelity (Banners & Placards)\", \"reason_1\": \"Video 1 features flags, but they are generic and lack the 'vividly displaying contrasting viewpoints' aspect, appearing more like a festival.\", \"reason_2\": \"Video 2 generates large, distinct banners with bold symbols (a star, a logo) that effectively represent the 'contrasting viewpoints' requested.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Logic (Heated Exchange vs. Celebration)\", \"reason_1\": \"The subjects in Video 1 are dancing and waving flags in a celebratory manner, completely missing the 'heated exchange' and 'tension' required.\", \"reason_2\": \"Video 2 depicts a standoff with aggressive posturing and shouting, accurately capturing the 'charged atmosphere' and 'confrontation' described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Contextual Details (Onlookers & Phones)\", \"reason_1\": \"Video 1 includes background figures, but they are blurry and indistinct.\", \"reason_2\": \"Video 2 explicitly includes a foreground figure holding up a smartphone to record the event, directly satisfying the prompt's detail about onlookers capturing the moment.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 adheres strictly to the prompt's structural requirements, specifically the existence of two opposing groups with distinct visual identities and a confrontational interaction. Video 1 fails to establish the 'opposing' nature of the scene.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Bodies)\", \"reason_1\": \"Video 1 exhibits severe distortion; faces melt, limbs disappear, and bodies merge into one another during movement.\", \"reason_2\": \"Video 2 maintains consistent character forms and facial features throughout the clip, with minimal warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The movement in Video 1 is floaty and unnatural, with characters sliding across the ground rather than stepping.\", \"reason_2\": \"Video 2 shows characters with weight and proper foot placement, reacting realistically to the environment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Texture Resolution\", \"reason_1\": \"The image in Video 1 is soft and lacks definition, particularly in the background elements.\", \"reason_2\": \"Video 2 is sharper, with clearer textures on the clothing and flags.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates significantly higher stability and realism. Video 1 is plagued by severe AI artifacts, including melting faces and incoherent body structures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tension & Mood\", \"reason_1\": \"The mood in Video 1 is festive and confused, failing to evoke the 'palpable energy of the confrontation'.\", \"reason_2\": \"Video 2 successfully establishes a tense, dramatic mood through the body language of the subjects and the framing of the standoff.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a chaotic wide shot where subjects are scattered randomly.\", \"reason_2\": \"Video 2 uses a more cinematic composition, placing the two groups on opposing sides of the frame to emphasize their conflict.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"There is no clear narrative in Video 1; it appears to be a random generation of people moving.\", \"reason_2\": \"Video 2 tells a clear micro-story of two opposing factions meeting in a public square, aligning perfectly with the prompt's narrative arc.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 effectively frames the conflict, creating a sense of narrative tension. Video 1 lacks a coherent narrative focus and feels like a random, glitchy loop.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully visualizes the core narrative of a confrontation between two distinct groups, whereas Video 1 depicts a confused, celebratory gathering with severe technical flaws. Video 2 accurately renders the opposing ideologies through distinct attire and banners, maintains high morphological stability, and captures the requested tension. Video 1 suffers from significant hallucinations, melting faces, and fails to portray the 'heated exchange' or the specific group distinctions required by the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Group Distinction & Attire Contrast", "reason_1": "Video 1 fails to separate the groups; the subjects are a homogenous mix of casual clothing with no clear 'vibrant' vs 'subdued' split.", "reason_2": "Video 2 clearly distinguishes two sides: a group on the left with bright blue/yellow flags and colorful jackets, and a group on the right with large orange flags and darker, more subdued clothing.", "score_1": 2, "score_2": 8}, {"name": "Prop Fidelity (Banners & Placards)", "reason_1": "Video 1 features flags, but they are generic and lack the 'vividly displaying contrasting viewpoints' aspect, appearing more like a festival.", "reason_2": "Video 2 generates large, distinct banners with bold symbols (a star, a logo) that effectively represent the 'contrasting viewpoints' requested.", "score_1": 4, "score_2": 6}, {"name": "Action Logic (Heated Exchange vs. Celebration)", "reason_1": "The subjects in Video 1 are dancing and waving flags in a celebratory manner, completely missing the 'heated exchange' and 'tension' required.", "reason_2": "Video 2 depicts a standoff with aggressive posturing and shouting, accurately capturing the 'charged atmosphere' and 'confrontation' described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Contextual Details (Onlookers & Phones)", "reason_1": "Video 1 includes background figures, but they are blurry and indistinct.", "reason_2": "Video 2 explicitly includes a foreground figure holding up a smartphone to record the event, directly satisfying the prompt's detail about onlookers capturing the moment.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 adheres strictly to the prompt's structural requirements, specifically the existence of two opposing groups with distinct visual identities and a confrontational interaction. Video 1 fails to establish the 'opposing' nature of the scene.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Bodies)", "reason_1": "Video 1 exhibits severe distortion; faces melt, limbs disappear, and bodies merge into one another during movement.", "reason_2": "Video 2 maintains consistent character forms and facial features throughout the clip, with minimal warping.", "score_1": 1, "score_2": 9}, {"name": "Motion Physics & Grounding", "reason_1": "The movement in Video 1 is floaty and unnatural, with characters sliding across the ground rather than stepping.", "reason_2": "Video 2 shows characters with weight and proper foot placement, reacting realistically to the environment.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Texture Resolution", "reason_1": "The image in Video 1 is soft and lacks definition, particularly in the background elements.", "reason_2": "Video 2 is sharper, with clearer textures on the clothing and flags.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates significantly higher stability and realism. Video 1 is plagued by severe AI artifacts, including melting faces and incoherent body structures.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tension & Mood", "reason_1": "The mood in Video 1 is festive and confused, failing to evoke the 'palpable energy of the confrontation'.", "reason_2": "Video 2 successfully establishes a tense, dramatic mood through the body language of the subjects and the framing of the standoff.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a chaotic wide shot where subjects are scattered randomly.", "reason_2": "Video 2 uses a more cinematic composition, placing the two groups on opposing sides of the frame to emphasize their conflict.", "score_1": 3, "score_2": 7}, {"name": "Narrative Coherence", "reason_1": "There is no clear narrative in Video 1; it appears to be a random generation of people moving.", "reason_2": "Video 2 tells a clear micro-story of two opposing factions meeting in a public square, aligning perfectly with the prompt's narrative arc.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 effectively frames the conflict, creating a sense of narrative tension. Video 1 lacks a coherent narrative focus and feels like a random, glitchy loop.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully visualizes the core narrative of a confrontation between two distinct groups, whereas Video 1 depicts a confused, celebratory gathering with severe technical flaws. Video 2 accurately renders the opposing ideologies through distinct attire and banners, maintains high morphological stability, and captures the requested tension. Video 1 suffers from significant hallucinations, melting faces, and fails to portray the 'heated exchange' or the specific group distinctions required by the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 77.0, "elapsed_sec": 64.825} +{"pair_id": "052_seed_310", "sample_index": 52, "seed": 310, "prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_310_In a bustling city square two distinct groups conv.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_310_In a bustling city square two distinct groups conv.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_310_In a bustling city square two distinct groups conv.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_310_In a bustling city square two distinct groups conv.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Distinction\", \"reason_1\": \"Video 1 presents a chaotic, morphing mass of people where no distinct groups or ideologies can be identified.\", \"reason_2\": \"Video 2 clearly depicts a central group of individuals holding flags, distinct from the background crowd, aligning with the 'converging groups' requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Prop Fidelity (Banners & Phones)\", \"reason_1\": \"Video 1 generates vague, glitchy shapes that resemble flags but lack structural integrity, and the 'phone' element is barely discernible amidst the noise.\", \"reason_2\": \"Video 2 renders specific, recognizable objects: a large rainbow flag, a red flag, and a smartphone held by a central character.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Logic (Heated Exchange)\", \"reason_1\": \"The motion in Video 1 is random and fluid-like, lacking any logical human interaction or communicative intent.\", \"reason_2\": \"The characters in Video 2 are gesturing and looking at the phone, simulating a 'heated exchange' or recording of an event.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully renders the core semantic elements: a crowd, distinct flags (banners), and a smartphone capturing the moment. Video 1 fails to render distinct objects or coherent subjects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"Video 1 is a constant stream of morphing artifacts; faces melt, limbs disappear, and the environment shifts unnaturally.\", \"reason_2\": \"Video 2 maintains the shape and form of the subjects and flags consistently throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Anatomical Integrity\", \"reason_1\": \"Video 1 displays severe anatomical horror, with faces distorting into unrecognizable shapes and bodies merging into one another.\", \"reason_2\": \"While not perfect, the humans in Video 2 have recognizable faces and limbs that move somewhat naturally.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The video is blurry and plagued by generation artifacts, making it difficult to focus on any specific element.\", \"reason_2\": \"The image is relatively sharp, with clear separation between the foreground subjects and the background.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the most significant differentiator. Video 2 is stable and clear, while Video 1 exhibits severe 'melting' and hallucination artifacts typical of low-quality generation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 has no clear focal point; the camera movement is erratic and the framing is cluttered with morphing shapes.\", \"reason_2\": \"Video 2 uses a stable medium shot that effectively frames the main subjects and their interaction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tension\", \"reason_1\": \"The atmosphere is confusing and surreal rather than tense or charged, due to the lack of visual logic.\", \"reason_2\": \"The body language and proximity of the characters in Video 2 successfully convey a sense of a public gathering or confrontation.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Legibility\", \"reason_1\": \"It is impossible to discern a story or event from the visual noise presented in Video 1.\", \"reason_2\": \"A viewer can easily understand the scene: a protest or rally where people are filming a confrontation.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a watchable, framed scene that conveys a sense of event. Video 1 is visually unpleasant and narratively illegible.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior temporal stability and semantic coherence. It successfully depicts a recognizable scene with distinct subjects, flags, and a smartphone, maintaining object permanence throughout the clip. Video 1 suffers from catastrophic morphological failure, where subjects and objects constantly melt, morph, and lose identity, making the narrative unintelligible.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Distinction", "reason_1": "Video 1 presents a chaotic, morphing mass of people where no distinct groups or ideologies can be identified.", "reason_2": "Video 2 clearly depicts a central group of individuals holding flags, distinct from the background crowd, aligning with the 'converging groups' requirement.", "score_1": 2, "score_2": 8}, {"name": "Prop Fidelity (Banners & Phones)", "reason_1": "Video 1 generates vague, glitchy shapes that resemble flags but lack structural integrity, and the 'phone' element is barely discernible amidst the noise.", "reason_2": "Video 2 renders specific, recognizable objects: a large rainbow flag, a red flag, and a smartphone held by a central character.", "score_1": 1, "score_2": 9}, {"name": "Action Logic (Heated Exchange)", "reason_1": "The motion in Video 1 is random and fluid-like, lacking any logical human interaction or communicative intent.", "reason_2": "The characters in Video 2 are gesturing and looking at the phone, simulating a 'heated exchange' or recording of an event.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully renders the core semantic elements: a crowd, distinct flags (banners), and a smartphone capturing the moment. Video 1 fails to render distinct objects or coherent subjects.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "Video 1 is a constant stream of morphing artifacts; faces melt, limbs disappear, and the environment shifts unnaturally.", "reason_2": "Video 2 maintains the shape and form of the subjects and flags consistently throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Anatomical Integrity", "reason_1": "Video 1 displays severe anatomical horror, with faces distorting into unrecognizable shapes and bodies merging into one another.", "reason_2": "While not perfect, the humans in Video 2 have recognizable faces and limbs that move somewhat naturally.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Sharpness", "reason_1": "The video is blurry and plagued by generation artifacts, making it difficult to focus on any specific element.", "reason_2": "The image is relatively sharp, with clear separation between the foreground subjects and the background.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the most significant differentiator. Video 2 is stable and clear, while Video 1 exhibits severe 'melting' and hallucination artifacts typical of low-quality generation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 has no clear focal point; the camera movement is erratic and the framing is cluttered with morphing shapes.", "reason_2": "Video 2 uses a stable medium shot that effectively frames the main subjects and their interaction.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tension", "reason_1": "The atmosphere is confusing and surreal rather than tense or charged, due to the lack of visual logic.", "reason_2": "The body language and proximity of the characters in Video 2 successfully convey a sense of a public gathering or confrontation.", "score_1": 3, "score_2": 7}, {"name": "Narrative Legibility", "reason_1": "It is impossible to discern a story or event from the visual noise presented in Video 1.", "reason_2": "A viewer can easily understand the scene: a protest or rally where people are filming a confrontation.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a watchable, framed scene that conveys a sense of event. Video 1 is visually unpleasant and narratively illegible.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior temporal stability and semantic coherence. It successfully depicts a recognizable scene with distinct subjects, flags, and a smartphone, maintaining object permanence throughout the clip. Video 1 suffers from catastrophic morphological failure, where subjects and objects constantly melt, morph, and lose identity, making the narrative unintelligible.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 59.142} +{"pair_id": "052_seed_930", "sample_index": 52, "seed": 930, "prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Heated Exchange)\", \"reason_1\": \"Video 1 clearly depicts a confrontation with shouting and aggressive body language, matching the 'heated exchange' requirement.\", \"reason_2\": \"Video 2 shows a static group posing for a photo or selfie, completely missing the prompt's instruction for a confrontation or exchange.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Attire & Color)\", \"reason_1\": \"Video 1 attempts to distinguish groups through clothing colors (greens/blues vs. reds), though the distinction is somewhat blended.\", \"reason_2\": \"Video 2 features a group in matching casual wear, failing to visually distinguish two opposing ideologies through attire.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Context (Bustling Square)\", \"reason_1\": \"Video 1 depicts a deep, open city square with background architecture and depth, fitting the 'bustling' description.\", \"reason_2\": \"Video 2 feels cramped and flat, lacking the spatial depth of a city square.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 aligns with the prompt's request for a 'heated exchange' and 'confrontation,' whereas Video 2 depicts a static group posing for a photo, missing the core narrative action.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"Video 1 suffers from severe facial distortions, with features melting and shifting unnaturally during the shouting.\", \"reason_2\": \"Video 2 also has distorted faces, but they are slightly more stable in their grotesqueness compared to the fluid melting in Video 1.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Object Stability (Banners/Phones)\", \"reason_1\": \"The flags and banners in Video 1 warp and change shape significantly as they move.\", \"reason_2\": \"The large banner in Video 2 maintains its general shape better, though the text is gibberish.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"Video 1 captures the chaotic, jerky motion of a protest effectively.\", \"reason_2\": \"Video 2 has very little motion, mostly consisting of a camera pan over a static scene, lacking dynamic realism.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Both videos suffer from severe anatomical hallucinations (melting faces). Video 2 wins this category slightly only because its static nature results in fewer morphing artifacts compared to the complex motion of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tension & Mood\", \"reason_1\": \"Video 1 successfully evokes the 'palpable energy' and 'tension' requested by the prompt.\", \"reason_2\": \"Video 2 has a casual, almost cheerful mood (posing for a photo), which is the opposite of the requested tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a dynamic angle that places the viewer in the middle of the action, enhancing the narrative.\", \"reason_2\": \"Video 2 uses a flat, frontal composition that feels like a snapshot rather than a cinematic scene.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 tells the story of a clash between groups.\", \"reason_2\": \"Video 2 fails to convey a narrative of conflict, presenting only a single static moment of a group gathering.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the cinematic energy and mood of a protest, while Video 2 lacks narrative drive and emotional impact.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the core narrative of a 'heated exchange' and 'confrontation' with dynamic motion and appropriate atmospheric tension. While both videos suffer from significant facial distortions typical of current generation models, Video 1 portrays the requested action (shouting, arguing) and environmental depth. Video 2 fails semantically, depicting a static group posing for a selfie rather than a clash of ideologies, lacking the required narrative energy.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Heated Exchange)", "reason_1": "Video 1 clearly depicts a confrontation with shouting and aggressive body language, matching the 'heated exchange' requirement.", "reason_2": "Video 2 shows a static group posing for a photo or selfie, completely missing the prompt's instruction for a confrontation or exchange.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Attire & Color)", "reason_1": "Video 1 attempts to distinguish groups through clothing colors (greens/blues vs. reds), though the distinction is somewhat blended.", "reason_2": "Video 2 features a group in matching casual wear, failing to visually distinguish two opposing ideologies through attire.", "score_1": 6, "score_2": 4}, {"name": "Environmental Context (Bustling Square)", "reason_1": "Video 1 depicts a deep, open city square with background architecture and depth, fitting the 'bustling' description.", "reason_2": "Video 2 feels cramped and flat, lacking the spatial depth of a city square.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 aligns with the prompt's request for a 'heated exchange' and 'confrontation,' whereas Video 2 depicts a static group posing for a photo, missing the core narrative action.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "Video 1 suffers from severe facial distortions, with features melting and shifting unnaturally during the shouting.", "reason_2": "Video 2 also has distorted faces, but they are slightly more stable in their grotesqueness compared to the fluid melting in Video 1.", "score_1": 4, "score_2": 6}, {"name": "Object Stability (Banners/Phones)", "reason_1": "The flags and banners in Video 1 warp and change shape significantly as they move.", "reason_2": "The large banner in Video 2 maintains its general shape better, though the text is gibberish.", "score_1": 4, "score_2": 6}, {"name": "Motion Fluidity & Physics", "reason_1": "Video 1 captures the chaotic, jerky motion of a protest effectively.", "reason_2": "Video 2 has very little motion, mostly consisting of a camera pan over a static scene, lacking dynamic realism.", "score_1": 7, "score_2": 3}], "cat_reason": "Both videos suffer from severe anatomical hallucinations (melting faces). Video 2 wins this category slightly only because its static nature results in fewer morphing artifacts compared to the complex motion of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tension & Mood", "reason_1": "Video 1 successfully evokes the 'palpable energy' and 'tension' requested by the prompt.", "reason_2": "Video 2 has a casual, almost cheerful mood (posing for a photo), which is the opposite of the requested tension.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a dynamic angle that places the viewer in the middle of the action, enhancing the narrative.", "reason_2": "Video 2 uses a flat, frontal composition that feels like a snapshot rather than a cinematic scene.", "score_1": 7, "score_2": 3}, {"name": "Narrative Completeness", "reason_1": "Video 1 tells the story of a clash between groups.", "reason_2": "Video 2 fails to convey a narrative of conflict, presenting only a single static moment of a group gathering.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the cinematic energy and mood of a protest, while Video 2 lacks narrative drive and emotional impact.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the core narrative of a 'heated exchange' and 'confrontation' with dynamic motion and appropriate atmospheric tension. While both videos suffer from significant facial distortions typical of current generation models, Video 1 portrays the requested action (shouting, arguing) and environmental depth. Video 2 fails semantically, depicting a static group posing for a selfie rather than a clash of ideologies, lacking the required narrative energy.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 61.0, "total_score_2": 29.0, "elapsed_sec": 56.822} +{"pair_id": "053_seed_42", "sample_index": 53, "seed": 42, "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Interaction & Argument Intensity\", \"reason_1\": \"Video 1 clearly depicts two distinct individuals engaging in a heated verbal exchange with appropriate body language.\", \"reason_2\": \"Video 2 shows two figures, but their interaction is marred by severe distortion, making the 'argument' look more like a glitch than a human interaction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Crowd Dynamics & Onlooker Behavior\", \"reason_1\": \"Video 1 successfully generates a background crowd that reacts to the scene, creating the requested 'bustling' atmosphere.\", \"reason_2\": \"Video 2 attempts to show a crowd, but the faces are nightmarish distortions that fail to convey the requested 'curiosity and concern'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Public Square)\", \"reason_1\": \"The background in Video 1 is recognizable as a city square with architectural depth.\", \"reason_2\": \"The environment in Video 2 is unstable and warps along with the subjects, losing the sense of a solid physical location.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the core semantic elements: two men arguing, a public square setting, and a gathering crowd. Video 2 attempts these elements but fails to render them with enough clarity to be semantically valid due to severe distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"The subjects' faces in Video 1 remain largely consistent and human-like throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting face' artifacts; the subjects' features slide off their faces and distort grotesquely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity (Hands & Limbs)\", \"reason_1\": \"Video 1 renders hands and gestures with reasonable accuracy for AI video.\", \"reason_2\": \"In Video 2, hands merge into chests and fingers are indistinguishable from clothing textures.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Coherence & Smoothness\", \"reason_1\": \"The motion in Video 1 is fluid and the frame-to-frame transition is logical.\", \"reason_2\": \"Video 2 suffers from jittery motion and sudden, illogical shifts in subject appearance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the deciding category. Video 1 maintains acceptable stability, whereas Video 2 fails completely with severe morphological breakdowns, melting faces, and anatomical errors.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Readability & Expression\", \"reason_1\": \"The anger and intensity are clearly readable on the subjects' faces in Video 1.\", \"reason_2\": \"The expressions in Video 2 are lost behind the visual artifacts, making the emotion unreadable and disturbing.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 uses a clear medium shot that keeps the focus on the argument while showing the context.\", \"reason_2\": \"Video 2's framing is chaotic and the camera movement feels accidental rather than intentional.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is a usable, standard-quality generation.\", \"reason_2\": \"Video 2 is visually unpleasant due to the high frequency of horror-like distortions.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 provides a watchable, cinematic clip that conveys the intended mood. Video 2 is aesthetically broken due to the technical artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its significantly higher visual stability and coherence. While both videos attempt the complex prompt, Video 2 suffers from catastrophic morphological failure, where the subjects' faces and bodies melt and distort severely, rendering the content disturbing and unrealistic. Video 1 maintains subject identity, anatomical logic, and a coherent background throughout the sequence.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Interaction & Argument Intensity", "reason_1": "Video 1 clearly depicts two distinct individuals engaging in a heated verbal exchange with appropriate body language.", "reason_2": "Video 2 shows two figures, but their interaction is marred by severe distortion, making the 'argument' look more like a glitch than a human interaction.", "score_1": 8, "score_2": 2}, {"name": "Crowd Dynamics & Onlooker Behavior", "reason_1": "Video 1 successfully generates a background crowd that reacts to the scene, creating the requested 'bustling' atmosphere.", "reason_2": "Video 2 attempts to show a crowd, but the faces are nightmarish distortions that fail to convey the requested 'curiosity and concern'.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Public Square)", "reason_1": "The background in Video 1 is recognizable as a city square with architectural depth.", "reason_2": "The environment in Video 2 is unstable and warps along with the subjects, losing the sense of a solid physical location.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the core semantic elements: two men arguing, a public square setting, and a gathering crowd. Video 2 attempts these elements but fails to render them with enough clarity to be semantically valid due to severe distortion.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "The subjects' faces in Video 1 remain largely consistent and human-like throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting face' artifacts; the subjects' features slide off their faces and distort grotesquely.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity (Hands & Limbs)", "reason_1": "Video 1 renders hands and gestures with reasonable accuracy for AI video.", "reason_2": "In Video 2, hands merge into chests and fingers are indistinguishable from clothing textures.", "score_1": 8, "score_2": 2}, {"name": "Temporal Coherence & Smoothness", "reason_1": "The motion in Video 1 is fluid and the frame-to-frame transition is logical.", "reason_2": "Video 2 suffers from jittery motion and sudden, illogical shifts in subject appearance.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the deciding category. Video 1 maintains acceptable stability, whereas Video 2 fails completely with severe morphological breakdowns, melting faces, and anatomical errors.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Readability & Expression", "reason_1": "The anger and intensity are clearly readable on the subjects' faces in Video 1.", "reason_2": "The expressions in Video 2 are lost behind the visual artifacts, making the emotion unreadable and disturbing.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 uses a clear medium shot that keeps the focus on the argument while showing the context.", "reason_2": "Video 2's framing is chaotic and the camera movement feels accidental rather than intentional.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is a usable, standard-quality generation.", "reason_2": "Video 2 is visually unpleasant due to the high frequency of horror-like distortions.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 provides a watchable, cinematic clip that conveys the intended mood. Video 2 is aesthetically broken due to the technical artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its significantly higher visual stability and coherence. While both videos attempt the complex prompt, Video 2 suffers from catastrophic morphological failure, where the subjects' faces and bodies melt and distort severely, rendering the content disturbing and unrealistic. Video 1 maintains subject identity, anatomical logic, and a coherent background throughout the sequence.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 56.179} +{"pair_id": "053_seed_310", "sample_index": 53, "seed": 310, "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_310_In a bustling public square two individuals engage.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_310_In a bustling public square two individuals engage.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_310_In a bustling public square two individuals engage.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_310_In a bustling public square two individuals engage.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Interaction & Gesture Logic\", \"reason_1\": \"Video 1 clearly depicts two distinct individuals engaging in a heated verbal exchange with animated hand gestures, aligning well with the prompt.\", \"reason_2\": \"Video 2 fails to maintain two distinct subjects; the figures merge into one another, and the gestures are indistinguishable from the morphing artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Public Square)\", \"reason_1\": \"The background in Video 1 clearly resembles a European-style public square with buildings and a crowd, matching the setting description.\", \"reason_2\": \"The background in Video 2 is unstable and blurry, lacking the distinct architectural features of a public square.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Crowd & Onlooker Details\", \"reason_1\": \"Video 1 generates a crowd of onlookers behind the main subjects. While their faces are distorted, they are present as requested.\", \"reason_2\": \"Video 2 attempts to show a crowd, but the figures are nightmarish distortions that blend into the main subjects, failing to convey 'curiosity and concern'.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully establishes the core semantic elements: two distinct individuals, a heated argument, and a public square setting. Video 2 fails to maintain the distinction between the two subjects, resulting in a confused semantic representation.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Integrity)\", \"reason_1\": \"The subjects in Video 1 maintain their general shape and volume throughout the clip, despite some facial warping.\", \"reason_2\": \"Video 2 exhibits severe 'melting' where the subjects' heads and bodies lose structural integrity and merge into a single blob.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The man in the white shirt in Video 1 remains recognizable as the same character from start to finish.\", \"reason_2\": \"The characters in Video 2 constantly shift features, clothing, and even gender/age, making identity persistence non-existent.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 has a sharper image with better defined textures on clothing and skin.\", \"reason_2\": \"Video 2 is blurry and muddy, with significant noise and lack of definition in the details.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a baseline of physical solidity, whereas Video 2 exhibits severe hallucinations and morphological breakdown, rendering the video unusable.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a clear medium-close shot that frames the argument well, keeping the focus on the interaction.\", \"reason_2\": \"The framing in Video 2 is chaotic and unstable, often cutting off heads or losing the focal point due to the morphing subjects.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Impact & Atmosphere\", \"reason_1\": \"The body language in Video 1 effectively conveys the 'heated' and 'intense' atmosphere requested.\", \"reason_2\": \"The emotional impact in Video 2 is lost entirely to the distraction of the visual glitches and horror-like distortions.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"Video 1 tells a coherent micro-story of an argument in progress.\", \"reason_2\": \"Video 2 lacks narrative flow; it is a sequence of random, morphing visual states rather than a progressing event.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a watchable scene with a clear focus on the conflict. Video 2 is visually confusing and disturbing due to the technical failures, breaking any narrative immersion.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior structural stability and semantic coherence. While it suffers from typical AI facial distortions, it successfully maintains two distinct subjects engaged in an argument within a recognizable environment. Video 2, conversely, suffers from catastrophic morphological failure, where the subjects' faces and bodies melt, merge, and lose all structural integrity, making the narrative unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Interaction & Gesture Logic", "reason_1": "Video 1 clearly depicts two distinct individuals engaging in a heated verbal exchange with animated hand gestures, aligning well with the prompt.", "reason_2": "Video 2 fails to maintain two distinct subjects; the figures merge into one another, and the gestures are indistinguishable from the morphing artifacts.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Public Square)", "reason_1": "The background in Video 1 clearly resembles a European-style public square with buildings and a crowd, matching the setting description.", "reason_2": "The background in Video 2 is unstable and blurry, lacking the distinct architectural features of a public square.", "score_1": 7, "score_2": 3}, {"name": "Crowd & Onlooker Details", "reason_1": "Video 1 generates a crowd of onlookers behind the main subjects. While their faces are distorted, they are present as requested.", "reason_2": "Video 2 attempts to show a crowd, but the figures are nightmarish distortions that blend into the main subjects, failing to convey 'curiosity and concern'.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully establishes the core semantic elements: two distinct individuals, a heated argument, and a public square setting. Video 2 fails to maintain the distinction between the two subjects, resulting in a confused semantic representation.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Integrity)", "reason_1": "The subjects in Video 1 maintain their general shape and volume throughout the clip, despite some facial warping.", "reason_2": "Video 2 exhibits severe 'melting' where the subjects' heads and bodies lose structural integrity and merge into a single blob.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The man in the white shirt in Video 1 remains recognizable as the same character from start to finish.", "reason_2": "The characters in Video 2 constantly shift features, clothing, and even gender/age, making identity persistence non-existent.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 has a sharper image with better defined textures on clothing and skin.", "reason_2": "Video 2 is blurry and muddy, with significant noise and lack of definition in the details.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains a baseline of physical solidity, whereas Video 2 exhibits severe hallucinations and morphological breakdown, rendering the video unusable.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses a clear medium-close shot that frames the argument well, keeping the focus on the interaction.", "reason_2": "The framing in Video 2 is chaotic and unstable, often cutting off heads or losing the focal point due to the morphing subjects.", "score_1": 7, "score_2": 3}, {"name": "Emotional Impact & Atmosphere", "reason_1": "The body language in Video 1 effectively conveys the 'heated' and 'intense' atmosphere requested.", "reason_2": "The emotional impact in Video 2 is lost entirely to the distraction of the visual glitches and horror-like distortions.", "score_1": 8, "score_2": 2}, {"name": "Narrative Coherence", "reason_1": "Video 1 tells a coherent micro-story of an argument in progress.", "reason_2": "Video 2 lacks narrative flow; it is a sequence of random, morphing visual states rather than a progressing event.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a watchable scene with a clear focus on the conflict. Video 2 is visually confusing and disturbing due to the technical failures, breaking any narrative immersion.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior structural stability and semantic coherence. While it suffers from typical AI facial distortions, it successfully maintains two distinct subjects engaged in an argument within a recognizable environment. Video 2, conversely, suffers from catastrophic morphological failure, where the subjects' faces and bodies melt, merge, and lose all structural integrity, making the narrative unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 57.045} +{"pair_id": "053_seed_930", "sample_index": 53, "seed": 930, "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Interaction & Argument Logic\", \"reason_1\": \"Video 1 clearly depicts two distinct individuals engaged in a heated verbal exchange with logical body language.\", \"reason_2\": \"Video 2 shows a chaotic morphing of figures where the argument is indistinguishable from the visual glitches.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Bustling Square)\", \"reason_1\": \"The background in Video 1 is stable and clearly resembles a European-style public square with depth.\", \"reason_2\": \"The background in Video 2 is unstable and warps along with the foreground subjects, losing environmental coherence.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Crowd & Onlooker Presence\", \"reason_1\": \"Video 1 includes a visible crowd in the background that remains relatively static and distinct from the main subjects.\", \"reason_2\": \"Video 2 attempts to show a crowd, but the figures are nightmarish distortions that blend into the architecture.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the core semantic elements: two distinct individuals arguing in a public square with a visible crowd. Video 2 fails to maintain the distinctness of the subjects, merging them into a chaotic, morphing blob that obscures the narrative.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.\", \"reason_2\": \"The faces in Video 2 melt, change shape, and distort severely with every movement, completely failing identity persistence.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 maintains solid object permanence; bodies and clothes do not randomly change shape.\", \"reason_2\": \"Video 2 exhibits extreme morphing; the man's jacket and the woman's hair constantly shift texture and form.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity\", \"reason_1\": \"Video 1 generally respects human anatomy, though there are minor imperfections in hand rendering.\", \"reason_2\": \"Video 2 displays severe anatomical horrors, with eyes bulging unnaturally and mouths stretching beyond human limits.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains high stability and realism. Video 2 is plagued by severe artifacts, including facial melting, limb hallucinations, and constant texture flickering.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity vs. Uncanny Valley\", \"reason_1\": \"The expressions in Video 1 convey genuine anger and intensity appropriate for an argument.\", \"reason_2\": \"The expressions in Video 2 are grotesque caricatures that evoke horror rather than the intended dramatic tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 uses a clear medium shot that keeps the focus on the interaction while showing the context.\", \"reason_2\": \"Video 2 has erratic framing where the camera seems to struggle to decide what the subject is, often cutting off heads or distorting the view.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The story of a public dispute is immediately readable in Video 1.\", \"reason_2\": \"Video 2 is visually confusing; without the prompt, it would be difficult to discern that this is a narrative argument rather than a glitch.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully creates a cinematic 'news footage' aesthetic that fits the prompt's tone. Video 2 creates an unintentional horror aesthetic due to the distortions, failing to convey the intended narrative of a public dispute.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Character Animation & Expression\", \"dims\": [{\"name\": \"Gesture Naturalism\", \"reason_1\": \"The hand gestures in Video 1 are animated and fit the rhythm of an argument.\", \"reason_2\": \"The gestures in Video 2 are jerky and result in hands merging with other objects or the face.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Realism\", \"reason_1\": \"Video 1 captures furrowed brows and open mouths realistically.\", \"reason_2\": \"Video 2 features exaggerated, cartoonish expressions that look like bad rubber masks.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"Movement in Video 1 is smooth and consistent with the frame rate.\", \"reason_2\": \"Video 2 has a jittery, strobe-like quality to the motion that is visually jarring.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Given the prompt's focus on 'animated gestures' and 'raw emotions', this category evaluates the specific quality of the human performance. Video 1 provides realistic acting, while Video 2 provides terrifying caricatures.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every conceivable metric. It delivers a coherent, realistic depiction of the prompt with stable character identities, logical interactions, and a consistent environment. Video 2 suffers from catastrophic failure in temporal coherence, exhibiting severe facial morphing, anatomical distortion, and a complete breakdown of visual logic, rendering the scene nightmarish rather than realistic.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Interaction & Argument Logic", "reason_1": "Video 1 clearly depicts two distinct individuals engaged in a heated verbal exchange with logical body language.", "reason_2": "Video 2 shows a chaotic morphing of figures where the argument is indistinguishable from the visual glitches.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Bustling Square)", "reason_1": "The background in Video 1 is stable and clearly resembles a European-style public square with depth.", "reason_2": "The background in Video 2 is unstable and warps along with the foreground subjects, losing environmental coherence.", "score_1": 8, "score_2": 2}, {"name": "Crowd & Onlooker Presence", "reason_1": "Video 1 includes a visible crowd in the background that remains relatively static and distinct from the main subjects.", "reason_2": "Video 2 attempts to show a crowd, but the figures are nightmarish distortions that blend into the architecture.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the core semantic elements: two distinct individuals arguing in a public square with a visible crowd. Video 2 fails to maintain the distinctness of the subjects, merging them into a chaotic, morphing blob that obscures the narrative.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.", "reason_2": "The faces in Video 2 melt, change shape, and distort severely with every movement, completely failing identity persistence.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Video 1 maintains solid object permanence; bodies and clothes do not randomly change shape.", "reason_2": "Video 2 exhibits extreme morphing; the man's jacket and the woman's hair constantly shift texture and form.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity", "reason_1": "Video 1 generally respects human anatomy, though there are minor imperfections in hand rendering.", "reason_2": "Video 2 displays severe anatomical horrors, with eyes bulging unnaturally and mouths stretching beyond human limits.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains high stability and realism. Video 2 is plagued by severe artifacts, including facial melting, limb hallucinations, and constant texture flickering.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity vs. Uncanny Valley", "reason_1": "The expressions in Video 1 convey genuine anger and intensity appropriate for an argument.", "reason_2": "The expressions in Video 2 are grotesque caricatures that evoke horror rather than the intended dramatic tension.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 uses a clear medium shot that keeps the focus on the interaction while showing the context.", "reason_2": "Video 2 has erratic framing where the camera seems to struggle to decide what the subject is, often cutting off heads or distorting the view.", "score_1": 8, "score_2": 2}, {"name": "Narrative Clarity", "reason_1": "The story of a public dispute is immediately readable in Video 1.", "reason_2": "Video 2 is visually confusing; without the prompt, it would be difficult to discern that this is a narrative argument rather than a glitch.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully creates a cinematic 'news footage' aesthetic that fits the prompt's tone. Video 2 creates an unintentional horror aesthetic due to the distortions, failing to convey the intended narrative of a public dispute.", "cat_winner": "Video 1"}, {"name": "D. Character Animation & Expression", "dims": [{"name": "Gesture Naturalism", "reason_1": "The hand gestures in Video 1 are animated and fit the rhythm of an argument.", "reason_2": "The gestures in Video 2 are jerky and result in hands merging with other objects or the face.", "score_1": 8, "score_2": 2}, {"name": "Expression Realism", "reason_1": "Video 1 captures furrowed brows and open mouths realistically.", "reason_2": "Video 2 features exaggerated, cartoonish expressions that look like bad rubber masks.", "score_1": 9, "score_2": 1}, {"name": "Motion Fluidity", "reason_1": "Movement in Video 1 is smooth and consistent with the frame rate.", "reason_2": "Video 2 has a jittery, strobe-like quality to the motion that is visually jarring.", "score_1": 8, "score_2": 2}], "cat_reason": "Given the prompt's focus on 'animated gestures' and 'raw emotions', this category evaluates the specific quality of the human performance. Video 1 provides realistic acting, while Video 2 provides terrifying caricatures.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every conceivable metric. It delivers a coherent, realistic depiction of the prompt with stable character identities, logical interactions, and a consistent environment. Video 2 suffers from catastrophic failure in temporal coherence, exhibiting severe facial morphing, anatomical distortion, and a complete breakdown of visual logic, rendering the scene nightmarish rather than realistic.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 101.0, "total_score_2": 19.0, "elapsed_sec": 69.548} +{"pair_id": "054_seed_42", "sample_index": 54, "seed": 42, "prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_42_A charismatic public figure stands at a podium pas.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_42_A charismatic public figure stands at a podium pas.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_42_A charismatic public figure stands at a podium pas.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_42_A charismatic public figure stands at a podium pas.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Audience Reaction Specificity\", \"reason_1\": \"Video 1 fails to render distinct reactions; the audience faces are melted, distorted blobs with no discernible expressions or body language.\", \"reason_2\": \"Video 2 clearly depicts the 'older man' with crossed arms and a frown, and a woman appearing emotional, aligning closely with the prompt's specific character requirements.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Speaker Characterization & Fervor\", \"reason_1\": \"The speaker in Video 1 has a distorted, unnatural expression that looks more like a glitch than a passionate speech.\", \"reason_2\": \"Video 2 depicts a speaker with a distinct, intense expression and hand gestures that effectively convey the requested 'fervor' and 'conviction'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Grand Hall)\", \"reason_1\": \"The background in Video 1 is a blurry, undefined beige space that barely suggests a room.\", \"reason_2\": \"Video 2 renders a convincing grand hall with depth, lighting, and architectural details that match the prompt's setting.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately captures the specific audience reactions and the speaker's intensity, whereas Video 1 fails to render recognizable human features or specific actions.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"Video 1 exhibits severe 'nightmare' distortion; faces are melted, eyes are misaligned, and features are unrecognizable.\", \"reason_2\": \"Video 2 maintains high anatomical integrity for both the speaker and the audience members, with realistic skin textures and facial structures.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image quality in Video 1 is low-resolution, muddy, and lacks detail.\", \"reason_2\": \"Video 2 is sharp, clear, and photorealistic, with good lighting and texture definition.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Subjects in Video 1 warp and morph unnaturally as the camera moves.\", \"reason_2\": \"Video 2 maintains the shape and identity of subjects consistently throughout the clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade generation quality, while Video 1 suffers from catastrophic failure in rendering human anatomy.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 has flat, awkward framing with no sense of depth or professional composition.\", \"reason_2\": \"Video 2 uses depth of field effectively to separate the speaker from the audience, creating a cinematic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Atmosphere\", \"reason_1\": \"The distortion in Video 1 creates an unintentional horror vibe rather than the intended dramatic tension.\", \"reason_2\": \"Video 2 successfully establishes a mood of tension and seriousness through lighting and the actors' expressions.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Movement Logic\", \"reason_1\": \"The camera movement in Video 1 is jerky and disorienting.\", \"reason_2\": \"Video 2 simulates a smooth pan or cut that logically shifts focus from the speaker to the audience reactions.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 employs cinematic techniques to tell the story of the speech, whereas Video 1 is visually unpleasant and confusing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every metric. It successfully renders a photorealistic scene with a distinct speaker and a detailed audience that exhibits the specific reactions requested (crossed arms, skepticism, emotion). Video 1 suffers from severe morphological distortion, with melted faces and a lack of coherent detail, failing to convey the narrative or the visual quality required.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Audience Reaction Specificity", "reason_1": "Video 1 fails to render distinct reactions; the audience faces are melted, distorted blobs with no discernible expressions or body language.", "reason_2": "Video 2 clearly depicts the 'older man' with crossed arms and a frown, and a woman appearing emotional, aligning closely with the prompt's specific character requirements.", "score_1": 1, "score_2": 9}, {"name": "Speaker Characterization & Fervor", "reason_1": "The speaker in Video 1 has a distorted, unnatural expression that looks more like a glitch than a passionate speech.", "reason_2": "Video 2 depicts a speaker with a distinct, intense expression and hand gestures that effectively convey the requested 'fervor' and 'conviction'.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Grand Hall)", "reason_1": "The background in Video 1 is a blurry, undefined beige space that barely suggests a room.", "reason_2": "Video 2 renders a convincing grand hall with depth, lighting, and architectural details that match the prompt's setting.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately captures the specific audience reactions and the speaker's intensity, whereas Video 1 fails to render recognizable human features or specific actions.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "Video 1 exhibits severe 'nightmare' distortion; faces are melted, eyes are misaligned, and features are unrecognizable.", "reason_2": "Video 2 maintains high anatomical integrity for both the speaker and the audience members, with realistic skin textures and facial structures.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image quality in Video 1 is low-resolution, muddy, and lacks detail.", "reason_2": "Video 2 is sharp, clear, and photorealistic, with good lighting and texture definition.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "Subjects in Video 1 warp and morph unnaturally as the camera moves.", "reason_2": "Video 2 maintains the shape and identity of subjects consistently throughout the clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade generation quality, while Video 1 suffers from catastrophic failure in rendering human anatomy.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 has flat, awkward framing with no sense of depth or professional composition.", "reason_2": "Video 2 uses depth of field effectively to separate the speaker from the audience, creating a cinematic look.", "score_1": 2, "score_2": 8}, {"name": "Emotional Atmosphere", "reason_1": "The distortion in Video 1 creates an unintentional horror vibe rather than the intended dramatic tension.", "reason_2": "Video 2 successfully establishes a mood of tension and seriousness through lighting and the actors' expressions.", "score_1": 1, "score_2": 9}, {"name": "Camera Movement Logic", "reason_1": "The camera movement in Video 1 is jerky and disorienting.", "reason_2": "Video 2 simulates a smooth pan or cut that logically shifts focus from the speaker to the audience reactions.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 employs cinematic techniques to tell the story of the speech, whereas Video 1 is visually unpleasant and confusing.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every metric. It successfully renders a photorealistic scene with a distinct speaker and a detailed audience that exhibits the specific reactions requested (crossed arms, skepticism, emotion). Video 1 suffers from severe morphological distortion, with melted faces and a lack of coherent detail, failing to convey the narrative or the visual quality required.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 16.0, "total_score_2": 74.0, "elapsed_sec": 56.081} +{"pair_id": "054_seed_310", "sample_index": 54, "seed": 310, "prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_310_A charismatic public figure stands at a podium pas.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_310_A charismatic public figure stands at a podium pas.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_310_A charismatic public figure stands at a podium pas.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_310_A charismatic public figure stands at a podium pas.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Setting Fidelity\", \"reason_1\": \"Video 1 presents a cartoon character in a simplified, flat background, which contradicts the implied realism of a 'grand hall' speech.\", \"reason_2\": \"Video 2 accurately depicts a charismatic figure in a realistic grand hall with appropriate lighting and depth.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Audience Reaction Specificity\", \"reason_1\": \"Video 1 shows a generic, static crowd with no discernible specific reactions like crying or head-shaking.\", \"reason_2\": \"Video 2 clearly shows the 'older man' with crossed arms and a skeptical expression, aligning well with the prompt's specific character details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement Logic\", \"reason_1\": \"Video 1 utilizes a simple 2D pan that lacks the cinematic 'shift' described in the prompt.\", \"reason_2\": \"Video 2 executes the requested shift from the speaker to the audience with a cinematic pan that reveals the crowd's depth.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 correctly interprets the prompt as a realistic cinematic scene, capturing the speaker's intensity and the specific body language of the audience (crossed arms, skepticism). Video 1 fails to match the implied realism and lacks the specific character details requested.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Style & Texture Realism\", \"reason_1\": \"Video 1 is a flat, vector-style animation with no texture or realistic lighting.\", \"reason_2\": \"Video 2 features high-quality textures, realistic skin tones, and cinematic lighting.\", \"score_1\": 0, \"score_2\": 10}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"Video 1 maintains perfect consistency of the character's design throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe identity loss; the speaker's face morphs significantly between the start and end of the clip.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"Video 1 has stiff, limited animation typical of basic 2D cartoons.\", \"reason_2\": \"Video 2 displays naturalistic human movement and camera physics.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Despite suffering from significant identity instability (morphing), Video 2 offers high-fidelity photorealism and fluid motion. Video 1 is a low-complexity animation that lacks texture and dynamic realism.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Atmosphere\", \"reason_1\": \"Video 1 feels emotionally flat and comedic due to the cartoon style, missing the 'profound impact' entirely.\", \"reason_2\": \"Video 2 successfully conveys the 'palpable tension' and 'fervor' through lighting and facial expressions.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses flat, uninspired framing typical of simple animation.\", \"reason_2\": \"Video 2 uses depth of field and framing to focus attention effectively on the speaker and then the crowd.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 feels like a static loop with no narrative progression or reaction shots.\", \"reason_2\": \"Video 2 follows the narrative arc: speaker speaks -> camera moves -> audience reacts.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'palpable tension' and 'profound impact' requested by the prompt through effective lighting and composition. Video 1 lacks emotional weight due to its cartoon style.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it adheres to the implicit photorealistic and cinematic nature of the prompt, successfully depicting the grand hall, the speaker's intensity, and the specific reactions of the audience (such as the skeptical older man). Video 1 interprets the prompt as a flat 2D cartoon, which fails to capture the requested emotional gravity, lighting, or specific character details.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Setting Fidelity", "reason_1": "Video 1 presents a cartoon character in a simplified, flat background, which contradicts the implied realism of a 'grand hall' speech.", "reason_2": "Video 2 accurately depicts a charismatic figure in a realistic grand hall with appropriate lighting and depth.", "score_1": 1, "score_2": 9}, {"name": "Audience Reaction Specificity", "reason_1": "Video 1 shows a generic, static crowd with no discernible specific reactions like crying or head-shaking.", "reason_2": "Video 2 clearly shows the 'older man' with crossed arms and a skeptical expression, aligning well with the prompt's specific character details.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement Logic", "reason_1": "Video 1 utilizes a simple 2D pan that lacks the cinematic 'shift' described in the prompt.", "reason_2": "Video 2 executes the requested shift from the speaker to the audience with a cinematic pan that reveals the crowd's depth.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 correctly interprets the prompt as a realistic cinematic scene, capturing the speaker's intensity and the specific body language of the audience (crossed arms, skepticism). Video 1 fails to match the implied realism and lacks the specific character details requested.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Style & Texture Realism", "reason_1": "Video 1 is a flat, vector-style animation with no texture or realistic lighting.", "reason_2": "Video 2 features high-quality textures, realistic skin tones, and cinematic lighting.", "score_1": 0, "score_2": 10}, {"name": "Subject Identity Persistence", "reason_1": "Video 1 maintains perfect consistency of the character's design throughout the clip.", "reason_2": "Video 2 suffers from severe identity loss; the speaker's face morphs significantly between the start and end of the clip.", "score_1": 8, "score_2": 2}, {"name": "Motion Fluidity & Physics", "reason_1": "Video 1 has stiff, limited animation typical of basic 2D cartoons.", "reason_2": "Video 2 displays naturalistic human movement and camera physics.", "score_1": 2, "score_2": 8}], "cat_reason": "Despite suffering from significant identity instability (morphing), Video 2 offers high-fidelity photorealism and fluid motion. Video 1 is a low-complexity animation that lacks texture and dynamic realism.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Atmosphere", "reason_1": "Video 1 feels emotionally flat and comedic due to the cartoon style, missing the 'profound impact' entirely.", "reason_2": "Video 2 successfully conveys the 'palpable tension' and 'fervor' through lighting and facial expressions.", "score_1": 1, "score_2": 9}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses flat, uninspired framing typical of simple animation.", "reason_2": "Video 2 uses depth of field and framing to focus attention effectively on the speaker and then the crowd.", "score_1": 1, "score_2": 9}, {"name": "Narrative Progression", "reason_1": "Video 1 feels like a static loop with no narrative progression or reaction shots.", "reason_2": "Video 2 follows the narrative arc: speaker speaks -> camera moves -> audience reacts.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'palpable tension' and 'profound impact' requested by the prompt through effective lighting and composition. Video 1 lacks emotional weight due to its cartoon style.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it adheres to the implicit photorealistic and cinematic nature of the prompt, successfully depicting the grand hall, the speaker's intensity, and the specific reactions of the audience (such as the skeptical older man). Video 1 interprets the prompt as a flat 2D cartoon, which fails to capture the requested emotional gravity, lighting, or specific character details.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 56.153} +{"pair_id": "054_seed_930", "sample_index": 54, "seed": 930, "prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement & Scene Transition\", \"reason_1\": \"Video 1 is a static shot that fails to execute the requested shift to the audience or the panning motion.\", \"reason_2\": \"Video 2 successfully executes the camera shift from the speaker to the audience, fulfilling the narrative flow described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Audience Reaction Specificity\", \"reason_1\": \"Video 1 shows a generic crowd with no discernible specific reactions (tears, head shaking) due to the static framing.\", \"reason_2\": \"Video 2 clearly depicts the 'older man shaking his head' and the 'woman with arms crossed' (implying skepticism), aligning well with the specific reaction details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Speaker Attributes & Fervor\", \"reason_1\": \"Video 1 depicts a speaker with a mustache who looks angry rather than charismatic; the expression is static.\", \"reason_2\": \"Video 2 depicts a speaker with a dynamic, intense expression that aligns better with 'passionately delivering a speech'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 follows the prompt's structural instructions, including the camera shift and specific audience reactions, whereas Video 1 ignores the camera movement and specific character details.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Style\", \"reason_1\": \"Video 1 utilizes a flat, lower-resolution anime style which was not requested, resulting in a less immersive experience.\", \"reason_2\": \"Video 2 aims for photorealism with decent lighting and texture, creating a more convincing 'grand hall' atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Morphological Stability (Faces)\", \"reason_1\": \"Video 1 maintains consistent character shapes, largely because there is very little movement.\", \"reason_2\": \"Video 2 suffers from significant distortion and 'melting' of faces in the audience as the camera pans, a common AI artifact.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity & Dynamics\", \"reason_1\": \"Video 1 has almost no motion; it resembles a slideshow of similar frames.\", \"reason_2\": \"Video 2 features fluid camera movement and character animation, making it feel like a genuine video clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a photorealistic style with actual motion, whereas Video 1 is a low-frame-rate anime style with minimal movement. However, Video 2 suffers from some facial distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 uses a flat, 2D composition with no sense of depth or scale.\", \"reason_2\": \"Video 2 utilizes depth of field and perspective changes to create a sense of a large, grand hall.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 fails to tell a story; it is a single moment frozen in time.\", \"reason_2\": \"Video 2 captures the progression from the speaker's intensity to the crowd's divided reaction, fulfilling the narrative arc.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Emotional Atmosphere\", \"reason_1\": \"The static nature of Video 1 prevents any buildup of tension or emotional impact.\", \"reason_2\": \"The camera movement and lighting in Video 2 successfully evoke the 'palpable tension' and 'profound impact' requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully creates a cinematic narrative with depth and emotional progression, while Video 1 lacks cinematic qualities entirely.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it attempts to execute the complex narrative and camera movements described in the prompt. It successfully transitions from the speaker to the audience, capturing specific reactions like the skeptical man with crossed arms and the older man shaking his head. Video 1 is a static, anime-style clip that fails to perform the required camera pan or depict the specific audience reactions, remaining largely motionless throughout.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement & Scene Transition", "reason_1": "Video 1 is a static shot that fails to execute the requested shift to the audience or the panning motion.", "reason_2": "Video 2 successfully executes the camera shift from the speaker to the audience, fulfilling the narrative flow described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Audience Reaction Specificity", "reason_1": "Video 1 shows a generic crowd with no discernible specific reactions (tears, head shaking) due to the static framing.", "reason_2": "Video 2 clearly depicts the 'older man shaking his head' and the 'woman with arms crossed' (implying skepticism), aligning well with the specific reaction details.", "score_1": 2, "score_2": 8}, {"name": "Speaker Attributes & Fervor", "reason_1": "Video 1 depicts a speaker with a mustache who looks angry rather than charismatic; the expression is static.", "reason_2": "Video 2 depicts a speaker with a dynamic, intense expression that aligns better with 'passionately delivering a speech'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 follows the prompt's structural instructions, including the camera shift and specific audience reactions, whereas Video 1 ignores the camera movement and specific character details.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Style", "reason_1": "Video 1 utilizes a flat, lower-resolution anime style which was not requested, resulting in a less immersive experience.", "reason_2": "Video 2 aims for photorealism with decent lighting and texture, creating a more convincing 'grand hall' atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Morphological Stability (Faces)", "reason_1": "Video 1 maintains consistent character shapes, largely because there is very little movement.", "reason_2": "Video 2 suffers from significant distortion and 'melting' of faces in the audience as the camera pans, a common AI artifact.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity & Dynamics", "reason_1": "Video 1 has almost no motion; it resembles a slideshow of similar frames.", "reason_2": "Video 2 features fluid camera movement and character animation, making it feel like a genuine video clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a photorealistic style with actual motion, whereas Video 1 is a low-frame-rate anime style with minimal movement. However, Video 2 suffers from some facial distortion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 uses a flat, 2D composition with no sense of depth or scale.", "reason_2": "Video 2 utilizes depth of field and perspective changes to create a sense of a large, grand hall.", "score_1": 2, "score_2": 8}, {"name": "Narrative Progression", "reason_1": "Video 1 fails to tell a story; it is a single moment frozen in time.", "reason_2": "Video 2 captures the progression from the speaker's intensity to the crowd's divided reaction, fulfilling the narrative arc.", "score_1": 1, "score_2": 9}, {"name": "Emotional Atmosphere", "reason_1": "The static nature of Video 1 prevents any buildup of tension or emotional impact.", "reason_2": "The camera movement and lighting in Video 2 successfully evoke the 'palpable tension' and 'profound impact' requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully creates a cinematic narrative with depth and emotional progression, while Video 1 lacks cinematic qualities entirely.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it attempts to execute the complex narrative and camera movements described in the prompt. It successfully transitions from the speaker to the audience, capturing specific reactions like the skeptical man with crossed arms and the older man shaking his head. Video 1 is a static, anime-style clip that fails to perform the required camera pan or depict the specific audience reactions, remaining largely motionless throughout.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 56.458} +{"pair_id": "055_seed_42", "sample_index": 55, "seed": 42, "prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Browsing to Discovery)\", \"reason_1\": \"Video 1 clearly depicts the transition from working to stopping and looking at the screen with intent.\", \"reason_2\": \"Video 2 shows the subject staring blankly and then leaning back in a way that feels disconnected from the 'discovery' narrative.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement (Zoom Execution)\", \"reason_1\": \"Video 1 executes a smooth, cinematic push-in (zoom) that focuses attention on the subject's reaction as requested.\", \"reason_2\": \"Video 2 features a shaky, handheld-style camera motion that lacks the deliberate 'zoom in' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Office & Skyline)\", \"reason_1\": \"Video 1 renders a convincing modern office with a clear city view and appropriate lighting.\", \"reason_2\": \"Video 2's background is cluttered and the monitor displays a nonsensical, glitchy schematic rather than 'digital files'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately follows the sequence of events: browsing, reacting, and the camera zoom. Video 2 fails to depict the 'browsing' phase convincingly and the camera movement is erratic rather than a controlled zoom.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Eye Stability\", \"reason_1\": \"The subject's face remains anatomically correct and attractive throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'uncanny valley' effects; the eyes bulge unnaturally and the facial structure warps during the reaction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Logic (Monitor Content)\", \"reason_1\": \"The monitor in Video 1 displays a plausible interface resembling data or files.\", \"reason_2\": \"The monitor in Video 2 displays a strange, floating schematic that looks like a generation artifact rather than a screen interface.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and natural.\", \"reason_2\": \"The subject's movements are jerky and the leaning motion feels physically weightless and distorted.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high realism and stability. Video 2 collapses in quality with significant facial distortion and unnatural eye movements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity (Curiosity to Astonishment)\", \"reason_1\": \"The expression shift is subtle and realistic, conveying genuine interest.\", \"reason_2\": \"The expression is exaggerated to the point of horror, failing to convey 'astonishment' or 'contemplation'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Lighting\", \"reason_1\": \"Lighting is soft and professional, matching the 'modern office' aesthetic.\", \"reason_2\": \"The lighting is flatter and the composition is marred by the distorted subject and background artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Pacing\", \"reason_1\": \"The clip has a clear beginning, middle (climax/reaction), and end.\", \"reason_2\": \"The clip feels random and lacks a cohesive narrative arc due to the erratic motion.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully creates a professional, cinematic look with a readable emotional arc. Video 2 creates an unintentional horror aesthetic due to the distortions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Character Performance & Micro-Expressions\", \"dims\": [{\"name\": \"Eye Contact & Focus\", \"reason_1\": \"The subject's gaze is directed at the screen, anchoring the viewer in the narrative.\", \"reason_2\": \"The subject's eyes wander and bulge, breaking the illusion of them looking at a specific 'discovery'.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Reaction Subtlety\", \"reason_1\": \"The widening of the eyes is gradual and believable.\", \"reason_2\": \"The reaction is sudden and grotesque, lacking the requested subtlety.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Body Language (Leaning/Hovering)\", \"reason_1\": \"The lean forward is motivated by interest, and the hands remain near the keyboard.\", \"reason_2\": \"The body language is stiff and the hands appear disconnected from the action of typing or hovering.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This personalized category evaluates the specific acting requirements (eyes widening, leaning). Video 1 provides a human-like performance, while Video 2 provides a caricature.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It delivers a photorealistic, stable, and narratively coherent interpretation of the prompt. The character's reaction is subtle and believable, the camera zoom is smooth, and the environment is rendered with high fidelity. Video 2 suffers from severe morphological instability, particularly in the subject's face and eyes, which distort into an uncanny and unrealistic state. Additionally, Video 2 fails to render the monitor content logically and lacks the cinematic polish of Video 1.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Browsing to Discovery)", "reason_1": "Video 1 clearly depicts the transition from working to stopping and looking at the screen with intent.", "reason_2": "Video 2 shows the subject staring blankly and then leaning back in a way that feels disconnected from the 'discovery' narrative.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement (Zoom Execution)", "reason_1": "Video 1 executes a smooth, cinematic push-in (zoom) that focuses attention on the subject's reaction as requested.", "reason_2": "Video 2 features a shaky, handheld-style camera motion that lacks the deliberate 'zoom in' instruction.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Office & Skyline)", "reason_1": "Video 1 renders a convincing modern office with a clear city view and appropriate lighting.", "reason_2": "Video 2's background is cluttered and the monitor displays a nonsensical, glitchy schematic rather than 'digital files'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately follows the sequence of events: browsing, reacting, and the camera zoom. Video 2 fails to depict the 'browsing' phase convincingly and the camera movement is erratic rather than a controlled zoom.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Eye Stability", "reason_1": "The subject's face remains anatomically correct and attractive throughout the clip.", "reason_2": "Video 2 suffers from severe 'uncanny valley' effects; the eyes bulge unnaturally and the facial structure warps during the reaction.", "score_1": 9, "score_2": 1}, {"name": "Object Logic (Monitor Content)", "reason_1": "The monitor in Video 1 displays a plausible interface resembling data or files.", "reason_2": "The monitor in Video 2 displays a strange, floating schematic that looks like a generation artifact rather than a screen interface.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and natural.", "reason_2": "The subject's movements are jerky and the leaning motion feels physically weightless and distorted.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high realism and stability. Video 2 collapses in quality with significant facial distortion and unnatural eye movements.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity (Curiosity to Astonishment)", "reason_1": "The expression shift is subtle and realistic, conveying genuine interest.", "reason_2": "The expression is exaggerated to the point of horror, failing to convey 'astonishment' or 'contemplation'.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Lighting", "reason_1": "Lighting is soft and professional, matching the 'modern office' aesthetic.", "reason_2": "The lighting is flatter and the composition is marred by the distorted subject and background artifacts.", "score_1": 8, "score_2": 2}, {"name": "Narrative Pacing", "reason_1": "The clip has a clear beginning, middle (climax/reaction), and end.", "reason_2": "The clip feels random and lacks a cohesive narrative arc due to the erratic motion.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully creates a professional, cinematic look with a readable emotional arc. Video 2 creates an unintentional horror aesthetic due to the distortions.", "cat_winner": "Video 1"}, {"name": "D. Character Performance & Micro-Expressions", "dims": [{"name": "Eye Contact & Focus", "reason_1": "The subject's gaze is directed at the screen, anchoring the viewer in the narrative.", "reason_2": "The subject's eyes wander and bulge, breaking the illusion of them looking at a specific 'discovery'.", "score_1": 9, "score_2": 1}, {"name": "Reaction Subtlety", "reason_1": "The widening of the eyes is gradual and believable.", "reason_2": "The reaction is sudden and grotesque, lacking the requested subtlety.", "score_1": 8, "score_2": 2}, {"name": "Body Language (Leaning/Hovering)", "reason_1": "The lean forward is motivated by interest, and the hands remain near the keyboard.", "reason_2": "The body language is stiff and the hands appear disconnected from the action of typing or hovering.", "score_1": 7, "score_2": 3}], "cat_reason": "This personalized category evaluates the specific acting requirements (eyes widening, leaning). Video 1 provides a human-like performance, while Video 2 provides a caricature.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It delivers a photorealistic, stable, and narratively coherent interpretation of the prompt. The character's reaction is subtle and believable, the camera zoom is smooth, and the environment is rendered with high fidelity. Video 2 suffers from severe morphological instability, particularly in the subject's face and eyes, which distort into an uncanny and unrealistic state. Additionally, Video 2 fails to render the monitor content logically and lacks the cinematic polish of Video 1.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 97.0, "total_score_2": 23.0, "elapsed_sec": 71.804} +{"pair_id": "055_seed_310", "sample_index": 55, "seed": 310, "prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_310_A young professional seated at a sleek desk in a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_310_A young professional seated at a sleek desk in a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_310_A young professional seated at a sleek desk in a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_310_A young professional seated at a sleek desk in a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Action Sequence (Browses to Astonishment)\", \"reason_1\": \"Video 1 depicts a static state of working with no discernible shift in action or reaction to a discovery.\", \"reason_2\": \"Video 2 clearly portrays the sequence: typing, stopping, leaning in, and reacting with a distinct change in demeanor.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement Compliance (Zoom In)\", \"reason_1\": \"The camera in Video 1 is completely static, ignoring the explicit instruction to 'zoom in on their face'.\", \"reason_2\": \"Video 2 executes a clear, intentional zoom-in that focuses attention on the subject's reaction as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (City Skyline)\", \"reason_1\": \"Video 1 features a very clear, high-quality bokeh effect of city lights in the background, matching the 'city skyline' description well.\", \"reason_2\": \"Video 2 has a generic office background; while there are lights, the specific 'city skyline' context is less distinct than in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Attributes (Young Professional)\", \"reason_1\": \"Video 1 correctly depicts a young professional in office attire.\", \"reason_2\": \"Video 2 also correctly depicts a young professional in office attire.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 followed the script's action and camera instructions, whereas Video 1 ignored the narrative progression and camera movement entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"The subject's face in Video 1 remains structurally consistent and realistic throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe distortion; the subject's eyes and facial structure warp and melt unnaturally during the zoom and expression change.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp, sharp, and has professional-grade lighting and texture rendering.\", \"reason_2\": \"Video 2 appears softer, with lower resolution textures and a 'plastic' AI look to the skin and clothing.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The subtle movements in Video 1 (typing, breathing) are smooth and physically grounded.\", \"reason_2\": \"The motion in Video 2 is jerky, and the subject's lean feels weightless and unnatural.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is technically superior, offering a stable, high-resolution image. Video 2 suffers from significant morphological instability and distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Arc Realization\", \"reason_1\": \"Video 1 shows a single, unchanging expression of mild focus, failing to convey the requested 'astonishment' or 'contemplation'.\", \"reason_2\": \"Video 2 successfully transitions the character from neutral to shocked/astonished, fulfilling the emotional core of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 uses a standard medium shot that does not evolve, missing the cinematic intent of the prompt.\", \"reason_2\": \"Video 2 uses the zoom to effectively shift the viewer's focus from the action (typing) to the reaction (face), enhancing the narrative.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is aesthetically pleasing with good color grading and depth of field.\", \"reason_2\": \"Video 2 is visually unappealing due to the uncanny valley effect and distortion artifacts.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Despite lower visual quality, Video 2 captures the cinematic intent and emotional arc required by the prompt, which Video 1 fails to attempt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Character Performance & Micro-Expressions\", \"dims\": [{\"name\": \"Eye Reaction (Widening)\", \"reason_1\": \"The subject's eyes in Video 1 remain relatively static and do not widen in reaction to anything.\", \"reason_2\": \"Video 2 explicitly attempts the 'eyes widen' instruction, creating a clear (albeit distorted) reaction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Body Language (Leaning & Hovering)\", \"reason_1\": \"The subject in Video 1 remains seated in a fixed position.\", \"reason_2\": \"Video 2 depicts the subject leaning forward and then sitting back, matching the specific body language cues in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Expression Nuance (Curiosity to Astonishment)\", \"reason_1\": \"Video 1 lacks any expression change.\", \"reason_2\": \"Video 2 portrays a distinct shift in facial expression that aligns with the prompt's narrative of discovery.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"This personalized category highlights Video 2's success in animating the specific acting cues requested, which Video 1 completely omitted.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner in terms of semantic adherence and narrative execution. It successfully attempts the complex sequence of actions requested (browsing, leaning in, zooming, reacting with astonishment) and follows the specific camera direction. Video 1, while visually superior in stability and resolution, completely ignores the narrative arc and camera movement instructions, resulting in a static, generic clip that fails to tell the requested story.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Action Sequence (Browses to Astonishment)", "reason_1": "Video 1 depicts a static state of working with no discernible shift in action or reaction to a discovery.", "reason_2": "Video 2 clearly portrays the sequence: typing, stopping, leaning in, and reacting with a distinct change in demeanor.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement Compliance (Zoom In)", "reason_1": "The camera in Video 1 is completely static, ignoring the explicit instruction to 'zoom in on their face'.", "reason_2": "Video 2 executes a clear, intentional zoom-in that focuses attention on the subject's reaction as requested.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (City Skyline)", "reason_1": "Video 1 features a very clear, high-quality bokeh effect of city lights in the background, matching the 'city skyline' description well.", "reason_2": "Video 2 has a generic office background; while there are lights, the specific 'city skyline' context is less distinct than in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Subject Attributes (Young Professional)", "reason_1": "Video 1 correctly depicts a young professional in office attire.", "reason_2": "Video 2 also correctly depicts a young professional in office attire.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 followed the script's action and camera instructions, whereas Video 1 ignored the narrative progression and camera movement entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "The subject's face in Video 1 remains structurally consistent and realistic throughout the clip.", "reason_2": "Video 2 suffers from severe distortion; the subject's eyes and facial structure warp and melt unnaturally during the zoom and expression change.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp, sharp, and has professional-grade lighting and texture rendering.", "reason_2": "Video 2 appears softer, with lower resolution textures and a 'plastic' AI look to the skin and clothing.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The subtle movements in Video 1 (typing, breathing) are smooth and physically grounded.", "reason_2": "The motion in Video 2 is jerky, and the subject's lean feels weightless and unnatural.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is technically superior, offering a stable, high-resolution image. Video 2 suffers from significant morphological instability and distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Arc Realization", "reason_1": "Video 1 shows a single, unchanging expression of mild focus, failing to convey the requested 'astonishment' or 'contemplation'.", "reason_2": "Video 2 successfully transitions the character from neutral to shocked/astonished, fulfilling the emotional core of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 uses a standard medium shot that does not evolve, missing the cinematic intent of the prompt.", "reason_2": "Video 2 uses the zoom to effectively shift the viewer's focus from the action (typing) to the reaction (face), enhancing the narrative.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is aesthetically pleasing with good color grading and depth of field.", "reason_2": "Video 2 is visually unappealing due to the uncanny valley effect and distortion artifacts.", "score_1": 8, "score_2": 2}], "cat_reason": "Despite lower visual quality, Video 2 captures the cinematic intent and emotional arc required by the prompt, which Video 1 fails to attempt.", "cat_winner": "Video 2"}, {"name": "D. Character Performance & Micro-Expressions", "dims": [{"name": "Eye Reaction (Widening)", "reason_1": "The subject's eyes in Video 1 remain relatively static and do not widen in reaction to anything.", "reason_2": "Video 2 explicitly attempts the 'eyes widen' instruction, creating a clear (albeit distorted) reaction.", "score_1": 2, "score_2": 8}, {"name": "Body Language (Leaning & Hovering)", "reason_1": "The subject in Video 1 remains seated in a fixed position.", "reason_2": "Video 2 depicts the subject leaning forward and then sitting back, matching the specific body language cues in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Expression Nuance (Curiosity to Astonishment)", "reason_1": "Video 1 lacks any expression change.", "reason_2": "Video 2 portrays a distinct shift in facial expression that aligns with the prompt's narrative of discovery.", "score_1": 1, "score_2": 9}], "cat_reason": "This personalized category highlights Video 2's success in animating the specific acting cues requested, which Video 1 completely omitted.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner in terms of semantic adherence and narrative execution. It successfully attempts the complex sequence of actions requested (browsing, leaning in, zooming, reacting with astonishment) and follows the specific camera direction. Video 1, while visually superior in stability and resolution, completely ignores the narrative arc and camera movement instructions, resulting in a static, generic clip that fails to tell the requested story.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 58.0, "total_score_2": 72.0, "elapsed_sec": 75.533} +{"pair_id": "055_seed_930", "sample_index": 55, "seed": 930, "prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Lean, Zoom, Hover)\", \"reason_1\": \"Video 1 depicts the subject leaning forward and the camera zooming in as requested, though the 'hovering' is less distinct.\", \"reason_2\": \"Video 2 captures the 'leaning' and 'zoom' well, but the subject's hands remain firmly planted on the keyboard rather than hovering as prompted.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Context (City Skyline & Lighting)\", \"reason_1\": \"Video 1 features a generic, blurry background that barely resembles a city skyline.\", \"reason_2\": \"Video 2 renders a detailed, realistic city skyline with depth and appropriate lighting, matching the prompt's setting perfectly.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attributes (Young Professional)\", \"reason_1\": \"Video 1 depicts a young professional, but the rendering is somewhat cartoonish and lacks the 'sleek' modern office vibe.\", \"reason_2\": \"Video 2 depicts a highly realistic professional in a convincing modern office environment.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 provides a much more accurate environmental context and a clearer depiction of the 'astonishment' reaction, despite missing the specific 'hovering' hand gesture.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Photorealism\", \"reason_1\": \"The video has a 'plastic' AI look with low texture detail and flat lighting.\", \"reason_2\": \"The video achieves high photorealism with realistic skin textures, lighting, and depth of field.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Facial Anatomy & Expression Stability\", \"reason_1\": \"The subject's face distorts significantly during the expression change, with eyes appearing unnatural and asymmetrical.\", \"reason_2\": \"The subject's face maintains structural integrity even during the extreme expression of shock.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The movement feels slightly jerky and the camera zoom is linear and mechanical.\", \"reason_2\": \"The motion is fluid and the camera zoom feels cinematic and organic.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is vastly superior in terms of resolution, texture, and anatomical stability. Video 1 suffers from severe facial distortion and low-fidelity textures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Astonishment)\", \"reason_1\": \"The expression reads more as confusion or mild surprise rather than the 'captivated astonishment' requested.\", \"reason_2\": \"The subject delivers a powerful, convincing performance of shock and discovery that aligns perfectly with the narrative.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition & Lighting\", \"reason_1\": \"The lighting is flat and the composition is standard, lacking artistic merit.\", \"reason_2\": \"The use of depth of field (bokeh) on the city lights and the dramatic lighting on the face creates a high-quality cinematic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Pacing & Flow\", \"reason_1\": \"The transition from browsing to reaction is abrupt and lacks the 'subtle shift' requested.\", \"reason_2\": \"The pacing feels natural, allowing the viewer to register the shift in the subject's focus and emotion.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 effectively captures the dramatic mood and emotional weight of the prompt through superior lighting and acting, whereas Video 1 feels flat and unengaging.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly higher visual fidelity, photorealism, and cinematic quality compared to Video 1. While Video 1 attempts the specific actions, it suffers from severe facial distortion and a lack of detail. Video 2 delivers a convincing, high-quality portrayal of the subject's emotional reaction within a realistic environment.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Lean, Zoom, Hover)", "reason_1": "Video 1 depicts the subject leaning forward and the camera zooming in as requested, though the 'hovering' is less distinct.", "reason_2": "Video 2 captures the 'leaning' and 'zoom' well, but the subject's hands remain firmly planted on the keyboard rather than hovering as prompted.", "score_1": 6, "score_2": 4}, {"name": "Environmental Context (City Skyline & Lighting)", "reason_1": "Video 1 features a generic, blurry background that barely resembles a city skyline.", "reason_2": "Video 2 renders a detailed, realistic city skyline with depth and appropriate lighting, matching the prompt's setting perfectly.", "score_1": 2, "score_2": 8}, {"name": "Subject Attributes (Young Professional)", "reason_1": "Video 1 depicts a young professional, but the rendering is somewhat cartoonish and lacks the 'sleek' modern office vibe.", "reason_2": "Video 2 depicts a highly realistic professional in a convincing modern office environment.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 provides a much more accurate environmental context and a clearer depiction of the 'astonishment' reaction, despite missing the specific 'hovering' hand gesture.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Photorealism", "reason_1": "The video has a 'plastic' AI look with low texture detail and flat lighting.", "reason_2": "The video achieves high photorealism with realistic skin textures, lighting, and depth of field.", "score_1": 2, "score_2": 8}, {"name": "Facial Anatomy & Expression Stability", "reason_1": "The subject's face distorts significantly during the expression change, with eyes appearing unnatural and asymmetrical.", "reason_2": "The subject's face maintains structural integrity even during the extreme expression of shock.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The movement feels slightly jerky and the camera zoom is linear and mechanical.", "reason_2": "The motion is fluid and the camera zoom feels cinematic and organic.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is vastly superior in terms of resolution, texture, and anatomical stability. Video 1 suffers from severe facial distortion and low-fidelity textures.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Astonishment)", "reason_1": "The expression reads more as confusion or mild surprise rather than the 'captivated astonishment' requested.", "reason_2": "The subject delivers a powerful, convincing performance of shock and discovery that aligns perfectly with the narrative.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition & Lighting", "reason_1": "The lighting is flat and the composition is standard, lacking artistic merit.", "reason_2": "The use of depth of field (bokeh) on the city lights and the dramatic lighting on the face creates a high-quality cinematic look.", "score_1": 2, "score_2": 8}, {"name": "Narrative Pacing & Flow", "reason_1": "The transition from browsing to reaction is abrupt and lacks the 'subtle shift' requested.", "reason_2": "The pacing feels natural, allowing the viewer to register the shift in the subject's focus and emotion.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 effectively captures the dramatic mood and emotional weight of the prompt through superior lighting and acting, whereas Video 1 feels flat and unengaging.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly higher visual fidelity, photorealism, and cinematic quality compared to Video 1. While Video 1 attempts the specific actions, it suffers from severe facial distortion and a lack of detail. Video 2 delivers a convincing, high-quality portrayal of the subject's emotional reaction within a realistic environment.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 55.543} +{"pair_id": "056_seed_42", "sample_index": 56, "seed": 42, "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Roster & Cultural Specificity\", \"reason_1\": \"Video 1 clearly depicts the woman in the sari and the elderly man in a suit. While the 'teenager in dashiki' is not clearly distinct, the group feels diverse and culturally specific.\", \"reason_2\": \"Video 2 struggles to maintain the distinct identities of the requested characters, often morphing the elderly man or the woman in the sari into generic or distorted figures.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Action Fidelity: Collaborative Sketching\", \"reason_1\": \"Video 1 explicitly shows the woman writing/sketching on a notepad with a pen, aligning well with the prompt's instruction to 'sketch ideas'.\", \"reason_2\": \"Video 2 shows characters holding papers, but the action is vague, and the interaction with the notepad is less distinct and purposeful.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmosphere & Emotional Tone\", \"reason_1\": \"The video successfully captures the 'warm smiles' and 'camaraderie' requested, with natural-looking expressions.\", \"reason_2\": \"The emotional tone is ruined by the uncanny and distorted facial expressions, which look more frightening than warm.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the primary subjects (woman in sari, elderly man) and the specific action of sketching on a notepad. Video 2 fails to maintain the distinct identities of the characters and struggles with the specific action details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Faces remain structurally sound and recognizable throughout the clip, with only minor AI artifacts.\", \"reason_2\": \"Faces suffer from severe 'melting' and distortion, particularly the elderly man's face, which loses all human structure.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability (Morphing Control)\", \"reason_1\": \"The video is stable with smooth transitions between frames.\", \"reason_2\": \"The video exhibits constant, distracting morphing where characters shift shapes and features randomly between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"Textures of the clothing (sari, suit) and the wooden table are rendered with reasonable sharpness and realism.\", \"reason_2\": \"The image quality is softer and muddier, with textures blending into one another unnaturally.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid structural integrity, whereas Video 2 exhibits severe hallucinations and morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing focuses well on the group interaction and the table, keeping the subjects clearly in view.\", \"reason_2\": \"The framing is erratic, often cutting off heads or focusing on distorted background elements.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Environmental Aesthetics\", \"reason_1\": \"The lighting is bright and consistent, matching the 'sunlit community center' description effectively.\", \"reason_2\": \"The lighting is inconsistent and flat, failing to evoke the specific 'sunlit' atmosphere as effectively as Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"The clip feels like a coherent moment of a larger story, showing a clear interaction.\", \"reason_2\": \"The narrative is lost in the visual noise; it is difficult to follow what is happening due to the constant shifting of the scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a coherent, visually pleasing scene that feels like a captured moment. Video 2 is chaotic and visually unappealing due to the technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual stability and anatomical consistency. It successfully renders the key subjects (woman in sari, elderly man) with recognizable features and maintains a coherent scene throughout. Video 2 suffers from severe temporal instability, with faces and bodies morphing grotesquely, and fails to maintain the identity of the requested characters.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Roster & Cultural Specificity", "reason_1": "Video 1 clearly depicts the woman in the sari and the elderly man in a suit. While the 'teenager in dashiki' is not clearly distinct, the group feels diverse and culturally specific.", "reason_2": "Video 2 struggles to maintain the distinct identities of the requested characters, often morphing the elderly man or the woman in the sari into generic or distorted figures.", "score_1": 7, "score_2": 3}, {"name": "Action Fidelity: Collaborative Sketching", "reason_1": "Video 1 explicitly shows the woman writing/sketching on a notepad with a pen, aligning well with the prompt's instruction to 'sketch ideas'.", "reason_2": "Video 2 shows characters holding papers, but the action is vague, and the interaction with the notepad is less distinct and purposeful.", "score_1": 8, "score_2": 2}, {"name": "Atmosphere & Emotional Tone", "reason_1": "The video successfully captures the 'warm smiles' and 'camaraderie' requested, with natural-looking expressions.", "reason_2": "The emotional tone is ruined by the uncanny and distorted facial expressions, which look more frightening than warm.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the primary subjects (woman in sari, elderly man) and the specific action of sketching on a notepad. Video 2 fails to maintain the distinct identities of the characters and struggles with the specific action details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Faces remain structurally sound and recognizable throughout the clip, with only minor AI artifacts.", "reason_2": "Faces suffer from severe 'melting' and distortion, particularly the elderly man's face, which loses all human structure.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability (Morphing Control)", "reason_1": "The video is stable with smooth transitions between frames.", "reason_2": "The video exhibits constant, distracting morphing where characters shift shapes and features randomly between frames.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "Textures of the clothing (sari, suit) and the wooden table are rendered with reasonable sharpness and realism.", "reason_2": "The image quality is softer and muddier, with textures blending into one another unnaturally.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid structural integrity, whereas Video 2 exhibits severe hallucinations and morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing focuses well on the group interaction and the table, keeping the subjects clearly in view.", "reason_2": "The framing is erratic, often cutting off heads or focusing on distorted background elements.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Environmental Aesthetics", "reason_1": "The lighting is bright and consistent, matching the 'sunlit community center' description effectively.", "reason_2": "The lighting is inconsistent and flat, failing to evoke the specific 'sunlit' atmosphere as effectively as Video 1.", "score_1": 7, "score_2": 3}, {"name": "Narrative Coherence", "reason_1": "The clip feels like a coherent moment of a larger story, showing a clear interaction.", "reason_2": "The narrative is lost in the visual noise; it is difficult to follow what is happening due to the constant shifting of the scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a coherent, visually pleasing scene that feels like a captured moment. Video 2 is chaotic and visually unappealing due to the technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual stability and anatomical consistency. It successfully renders the key subjects (woman in sari, elderly man) with recognizable features and maintains a coherent scene throughout. Video 2 suffers from severe temporal instability, with faces and bodies morphing grotesquely, and fails to maintain the identity of the requested characters.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 60.963} +{"pair_id": "056_seed_310", "sample_index": 56, "seed": 310, "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_310_In a sunlit community center a diverse group of in.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_310_In a sunlit community center a diverse group of in.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_310_In a sunlit community center a diverse group of in.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_310_In a sunlit community center a diverse group of in.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Roster & Cultural Attire\", \"reason_1\": \"Video 1 clearly depicts the woman in the sari, the man in the suit, and the woman in the hijab with distinct, stable attire. The 'teenager in dashiki' is ambiguous but the group diversity is well-represented.\", \"reason_2\": \"Video 2 attempts the subjects, but the attire morphs constantly, and the specific cultural markers (like the dashiki or tailored suit) are lost in visual noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity: Collaborative Sketching\", \"reason_1\": \"Video 1 explicitly shows the group focused on a notepad with pens in hand, simulating the 'collaboratively sketch ideas' instruction effectively.\", \"reason_2\": \"Video 2 shows a table, but the action is incoherent; hands merge with the table and the notepad is not clearly defined or interacted with logically.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context: Sunlit Center\", \"reason_1\": \"Video 1 establishes a consistent, bright, sunlit room that feels like a community center.\", \"reason_2\": \"Video 2's background is unstable, with walls and windows warping and shifting, breaking the illusion of a physical space.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific cultural attire and the collaborative action described in the prompt. Video 2 struggles to maintain the distinct identities of the subjects and fails to clearly depict the sketching activity due to visual distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The faces in Video 1 remain recognizable and structurally sound throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'face melting,' where features slide off faces and identities change frame by frame.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body & Objects)\", \"reason_1\": \"Objects like the table and chairs remain solid. Hands are imperfect but maintain basic structure.\", \"reason_2\": \"Video 2 is plagued by morphing; the table changes shape, and the subjects' bodies distort fluidly in an unrealistic manner.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"Movement is relatively smooth and grounded in physics.\", \"reason_2\": \"The motion in Video 2 is jerky and hallucinatory, with sudden jumps and unnatural warping.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains high stability and realism, while Video 2 exhibits severe artifacts, warping, and loss of subject identity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Warmth & Camaraderie)\", \"reason_1\": \"The subjects in Video 1 display natural smiles and engaged body language, conveying the requested warmth.\", \"reason_2\": \"Due to facial distortions, the expressions in Video 2 often look uncanny or disturbing rather than warm.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a clear medium shot that captures the group dynamic and the table activity well.\", \"reason_2\": \"Video 2's framing is erratic, often cutting off heads or focusing on distorted background elements.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Style Consistency\", \"reason_1\": \"Video 1 maintains a consistent photorealistic style.\", \"reason_2\": \"Video 2 fluctuates between photorealism and garbled digital noise.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully conveys the mood of camaraderie and respect through clear expressions and good composition. Video 2's aesthetic is ruined by technical glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior temporal stability, visual fidelity, and semantic accuracy. It successfully depicts the diverse group, their specific attire, and the collaborative action of sketching on a notepad with consistent character identities. Video 2 suffers from severe morphological instability, with faces and bodies melting and distorting significantly, making the narrative and emotional connection impossible to sustain.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Roster & Cultural Attire", "reason_1": "Video 1 clearly depicts the woman in the sari, the man in the suit, and the woman in the hijab with distinct, stable attire. The 'teenager in dashiki' is ambiguous but the group diversity is well-represented.", "reason_2": "Video 2 attempts the subjects, but the attire morphs constantly, and the specific cultural markers (like the dashiki or tailored suit) are lost in visual noise.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity: Collaborative Sketching", "reason_1": "Video 1 explicitly shows the group focused on a notepad with pens in hand, simulating the 'collaboratively sketch ideas' instruction effectively.", "reason_2": "Video 2 shows a table, but the action is incoherent; hands merge with the table and the notepad is not clearly defined or interacted with logically.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context: Sunlit Center", "reason_1": "Video 1 establishes a consistent, bright, sunlit room that feels like a community center.", "reason_2": "Video 2's background is unstable, with walls and windows warping and shifting, breaking the illusion of a physical space.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific cultural attire and the collaborative action described in the prompt. Video 2 struggles to maintain the distinct identities of the subjects and fails to clearly depict the sketching activity due to visual distortion.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The faces in Video 1 remain recognizable and structurally sound throughout the clip.", "reason_2": "Video 2 exhibits severe 'face melting,' where features slide off faces and identities change frame by frame.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body & Objects)", "reason_1": "Objects like the table and chairs remain solid. Hands are imperfect but maintain basic structure.", "reason_2": "Video 2 is plagued by morphing; the table changes shape, and the subjects' bodies distort fluidly in an unrealistic manner.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Coherence", "reason_1": "Movement is relatively smooth and grounded in physics.", "reason_2": "The motion in Video 2 is jerky and hallucinatory, with sudden jumps and unnatural warping.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains high stability and realism, while Video 2 exhibits severe artifacts, warping, and loss of subject identity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Warmth & Camaraderie)", "reason_1": "The subjects in Video 1 display natural smiles and engaged body language, conveying the requested warmth.", "reason_2": "Due to facial distortions, the expressions in Video 2 often look uncanny or disturbing rather than warm.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a clear medium shot that captures the group dynamic and the table activity well.", "reason_2": "Video 2's framing is erratic, often cutting off heads or focusing on distorted background elements.", "score_1": 8, "score_2": 2}, {"name": "Visual Style Consistency", "reason_1": "Video 1 maintains a consistent photorealistic style.", "reason_2": "Video 2 fluctuates between photorealism and garbled digital noise.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully conveys the mood of camaraderie and respect through clear expressions and good composition. Video 2's aesthetic is ruined by technical glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior temporal stability, visual fidelity, and semantic accuracy. It successfully depicts the diverse group, their specific attire, and the collaborative action of sketching on a notepad with consistent character identities. Video 2 suffers from severe morphological instability, with faces and bodies melting and distorting significantly, making the narrative and emotional connection impossible to sustain.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 58.703} +{"pair_id": "056_seed_930", "sample_index": 56, "seed": 930, "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 attempts the attire but the subjects are unrecognizable due to severe distortion; the 'teenager in dashiki' is not clearly identifiable.\", \"reason_2\": \"Video 2 clearly depicts the woman in the sari, the man in the suit, and the woman in the hijab with high fidelity, though it also misses the specific 'teenager in dashiki' requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Logic: Collaborative Sketching\", \"reason_1\": \"The action of sketching is present but rendered as a morphing blob of pixels rather than distinct hand movements.\", \"reason_2\": \"The video clearly shows hands interacting with a notepad and pens, accurately reflecting the 'collaboratively sketch ideas' instruction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Sunlit Center)\", \"reason_1\": \"The background is blurry and indistinct, barely suggesting a room.\", \"reason_2\": \"The background clearly shows a sunlit building exterior through a window, fitting the 'community center' description well.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the diverse group, the specific attire (sari, suit, hijab), and the collaborative action of sketching. Video 1 attempts the elements but fails to render them with enough clarity to be semantically valid.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"Faces are severely deformed, with melting features and misplaced eyes, creating a disturbing visual effect.\", \"reason_2\": \"Faces are rendered with high realism, maintaining human proportions and clear expressions throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Subjects constantly morph, shrink, and expand; the video lacks any temporal consistency.\", \"reason_2\": \"Subject identities and shapes remain consistent over time with minimal flickering or warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is noisy, blurry, and lacks texture detail.\", \"reason_2\": \"The video is sharp, with clear textures on the clothing and the wooden table.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is plagued by severe artifacts and anatomical failures, while Video 2 is stable, sharp, and realistic.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Tone (Warmth & Camaraderie)\", \"reason_1\": \"Due to the facial distortions, the intended 'warm smiles' appear grotesque and frightening.\", \"reason_2\": \"The subjects exhibit natural, pleasant smiles and engaged body language, successfully conveying the requested sense of unity and respect.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is chaotic and the subjects are often cut off or obscured by artifacts.\", \"reason_2\": \"The shot is well-composed, keeping all relevant subjects in frame and focusing attention on the table interaction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unpleasant due to the high level of generation error.\", \"reason_2\": \"The video is aesthetically pleasing, with good lighting and color balance.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully conveys the intended mood of camaraderie and warmth, whereas Video 1's visual glitches create an unintentional horror aesthetic.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every technical and aesthetic metric. It presents a coherent, high-resolution scene with stable human anatomy and clear interactions. Video 1 suffers from catastrophic morphological failure, with severe facial distortions, melting features, and extreme temporal instability that renders the content nightmarish rather than heartwarming.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 attempts the attire but the subjects are unrecognizable due to severe distortion; the 'teenager in dashiki' is not clearly identifiable.", "reason_2": "Video 2 clearly depicts the woman in the sari, the man in the suit, and the woman in the hijab with high fidelity, though it also misses the specific 'teenager in dashiki' requirement.", "score_1": 2, "score_2": 8}, {"name": "Action Logic: Collaborative Sketching", "reason_1": "The action of sketching is present but rendered as a morphing blob of pixels rather than distinct hand movements.", "reason_2": "The video clearly shows hands interacting with a notepad and pens, accurately reflecting the 'collaboratively sketch ideas' instruction.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Sunlit Center)", "reason_1": "The background is blurry and indistinct, barely suggesting a room.", "reason_2": "The background clearly shows a sunlit building exterior through a window, fitting the 'community center' description well.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the diverse group, the specific attire (sari, suit, hijab), and the collaborative action of sketching. Video 1 attempts the elements but fails to render them with enough clarity to be semantically valid.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "Faces are severely deformed, with melting features and misplaced eyes, creating a disturbing visual effect.", "reason_2": "Faces are rendered with high realism, maintaining human proportions and clear expressions throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "Subjects constantly morph, shrink, and expand; the video lacks any temporal consistency.", "reason_2": "Subject identities and shapes remain consistent over time with minimal flickering or warping.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is noisy, blurry, and lacks texture detail.", "reason_2": "The video is sharp, with clear textures on the clothing and the wooden table.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the most significant differentiator. Video 1 is plagued by severe artifacts and anatomical failures, while Video 2 is stable, sharp, and realistic.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Tone (Warmth & Camaraderie)", "reason_1": "Due to the facial distortions, the intended 'warm smiles' appear grotesque and frightening.", "reason_2": "The subjects exhibit natural, pleasant smiles and engaged body language, successfully conveying the requested sense of unity and respect.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is chaotic and the subjects are often cut off or obscured by artifacts.", "reason_2": "The shot is well-composed, keeping all relevant subjects in frame and focusing attention on the table interaction.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unpleasant due to the high level of generation error.", "reason_2": "The video is aesthetically pleasing, with good lighting and color balance.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully conveys the intended mood of camaraderie and warmth, whereas Video 1's visual glitches create an unintentional horror aesthetic.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every technical and aesthetic metric. It presents a coherent, high-resolution scene with stable human anatomy and clear interactions. Video 1 suffers from catastrophic morphological failure, with severe facial distortions, melting features, and extreme temporal instability that renders the content nightmarish rather than heartwarming.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 17.0, "total_score_2": 73.0, "elapsed_sec": 57.826} +{"pair_id": "057_seed_42", "sample_index": 57, "seed": 42, "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dual-Group Distinction (Traditional vs. Modern)\", \"reason_1\": \"Video 1 clearly separates the visual elements, placing a central figure in a sleek black outfit (modern) surrounded by a distinct group in colorful, traditional garb.\", \"reason_2\": \"Video 2 fails to separate the groups; the 'modern' dancers are dressed in casual street clothes (jeans/t-shirts) rather than 'sleek contemporary outfits,' and the distinction is lost in the crowd.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Instrumental Specificity (Drums & Flutes)\", \"reason_1\": \"Video 1 explicitly renders the requested instruments, showing characters holding and playing large drums and flutes.\", \"reason_2\": \"Video 2 shows characters making drumming motions, but the instruments themselves are often malformed or missing, and no flutes are clearly visible.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Interaction & Fusion Logic\", \"reason_1\": \"Video 1 depicts the 'fusion' by having the modern dancer perform in the center of the traditional group, creating a clear visual narrative of mingling.\", \"reason_2\": \"Video 2 shows a general crowd dancing, but lacks the specific narrative beat of two distinct groups coming together to teach or exchange steps.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately identifies and renders the specific attributes requested, such as the 'sleek contemporary outfits' and the presence of both drums and flutes, whereas Video 2 fails to distinguish the groups clearly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The main characters in Video 1 maintain their facial features and clothing details consistently throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe identity loss; faces morph into unrecognizable shapes, and clothing textures shift randomly between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Stability (Instruments)\", \"reason_1\": \"The drums and flutes in Video 1 remain solid and recognizable objects despite the motion.\", \"reason_2\": \"The drums in Video 2 frequently melt into the dancers' bodies or the ground, lacking physical permanence.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity & Coherence\", \"reason_1\": \"The dance movements in Video 1 are relatively smooth and follow a logical rhythm.\", \"reason_2\": \"Video 2 exhibits jerky, unnatural motion with significant ghosting and blurring artifacts.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains a much higher level of temporal stability. Video 2 is plagued by severe artifacts, including morphing faces and melting objects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Contrast & Color Harmony\", \"reason_1\": \"Video 1 effectively uses color contrast (black vs. vibrant colors) to highlight the theme of 'tradition vs. modernity' requested in the prompt.\", \"reason_2\": \"Video 2 has a washed-out, oversaturated look with no clear color strategy to differentiate the subjects.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Focal Point\", \"reason_1\": \"Video 1 utilizes a strong central composition that draws the eye to the 'modern' dancer, anchoring the narrative.\", \"reason_2\": \"Video 2 lacks a clear focal point, presenting a chaotic wide shot where the viewer's eye wanders without a subject to latch onto.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Vibrancy\", \"reason_1\": \"The lighting and setting in Video 1 feel more cinematic and intentionally 'vibrant' as requested.\", \"reason_2\": \"Video 2 feels flat and artificial, lacking the depth and lighting quality to convey a festive atmosphere effectively.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 presents a composed, aesthetically pleasing shot that highlights the contrast between the subjects, whereas Video 2 is cluttered and visually confusing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully visualizes the core semantic conflict of the prompt: the contrast between 'sleek, contemporary outfits' and 'colorful, traditional attire.' It maintains distinct character identities and clearly renders the specific instruments (drums and flutes) requested. Video 2 suffers from severe temporal instability, with faces and objects morphing constantly, and fails to clearly distinguish the two communities, presenting a generic crowd instead of the specific cultural fusion described.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dual-Group Distinction (Traditional vs. Modern)", "reason_1": "Video 1 clearly separates the visual elements, placing a central figure in a sleek black outfit (modern) surrounded by a distinct group in colorful, traditional garb.", "reason_2": "Video 2 fails to separate the groups; the 'modern' dancers are dressed in casual street clothes (jeans/t-shirts) rather than 'sleek contemporary outfits,' and the distinction is lost in the crowd.", "score_1": 8, "score_2": 2}, {"name": "Instrumental Specificity (Drums & Flutes)", "reason_1": "Video 1 explicitly renders the requested instruments, showing characters holding and playing large drums and flutes.", "reason_2": "Video 2 shows characters making drumming motions, but the instruments themselves are often malformed or missing, and no flutes are clearly visible.", "score_1": 9, "score_2": 1}, {"name": "Interaction & Fusion Logic", "reason_1": "Video 1 depicts the 'fusion' by having the modern dancer perform in the center of the traditional group, creating a clear visual narrative of mingling.", "reason_2": "Video 2 shows a general crowd dancing, but lacks the specific narrative beat of two distinct groups coming together to teach or exchange steps.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately identifies and renders the specific attributes requested, such as the 'sleek contemporary outfits' and the presence of both drums and flutes, whereas Video 2 fails to distinguish the groups clearly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The main characters in Video 1 maintain their facial features and clothing details consistently throughout the clip.", "reason_2": "Video 2 suffers from severe identity loss; faces morph into unrecognizable shapes, and clothing textures shift randomly between frames.", "score_1": 8, "score_2": 2}, {"name": "Object Stability (Instruments)", "reason_1": "The drums and flutes in Video 1 remain solid and recognizable objects despite the motion.", "reason_2": "The drums in Video 2 frequently melt into the dancers' bodies or the ground, lacking physical permanence.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity & Coherence", "reason_1": "The dance movements in Video 1 are relatively smooth and follow a logical rhythm.", "reason_2": "Video 2 exhibits jerky, unnatural motion with significant ghosting and blurring artifacts.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains a much higher level of temporal stability. Video 2 is plagued by severe artifacts, including morphing faces and melting objects.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Contrast & Color Harmony", "reason_1": "Video 1 effectively uses color contrast (black vs. vibrant colors) to highlight the theme of 'tradition vs. modernity' requested in the prompt.", "reason_2": "Video 2 has a washed-out, oversaturated look with no clear color strategy to differentiate the subjects.", "score_1": 8, "score_2": 2}, {"name": "Composition & Focal Point", "reason_1": "Video 1 utilizes a strong central composition that draws the eye to the 'modern' dancer, anchoring the narrative.", "reason_2": "Video 2 lacks a clear focal point, presenting a chaotic wide shot where the viewer's eye wanders without a subject to latch onto.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Vibrancy", "reason_1": "The lighting and setting in Video 1 feel more cinematic and intentionally 'vibrant' as requested.", "reason_2": "Video 2 feels flat and artificial, lacking the depth and lighting quality to convey a festive atmosphere effectively.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 presents a composed, aesthetically pleasing shot that highlights the contrast between the subjects, whereas Video 2 is cluttered and visually confusing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully visualizes the core semantic conflict of the prompt: the contrast between 'sleek, contemporary outfits' and 'colorful, traditional attire.' It maintains distinct character identities and clearly renders the specific instruments (drums and flutes) requested. Video 2 suffers from severe temporal instability, with faces and objects morphing constantly, and fails to clearly distinguish the two communities, presenting a generic crowd instead of the specific cultural fusion described.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 61.056} +{"pair_id": "057_seed_310", "sample_index": 57, "seed": 310, "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_310_In a vibrant park setting two distinct communities.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_310_In a vibrant park setting two distinct communities.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_310_In a vibrant park setting two distinct communities.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_310_In a vibrant park setting two distinct communities.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dual-Group Distinction (Traditional vs. Modern)\", \"reason_1\": \"Video 1 fails to separate the groups; the 'modern' dancers are dressed in bizarre, glitchy costumes that look like distorted versions of the traditional attire, lacking the requested 'sleek' look.\", \"reason_2\": \"Video 2 clearly distinguishes the groups: one side features drummers in colorful traditional headdresses, while the other features dancers in black leather/sleek outfits, perfectly matching the prompt's contrast.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Instrument & Prop Fidelity\", \"reason_1\": \"The drums and flutes in Video 1 are heavily distorted, often merging with the dancers' bodies or appearing as unrecognizable blobs.\", \"reason_2\": \"Video 2 renders the large drums and headdresses with high fidelity and distinct textures, making the cultural elements immediately recognizable.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Interaction & Mingling Logic\", \"reason_1\": \"The mingling in Video 1 appears as a chaotic collision of morphing figures rather than a social exchange.\", \"reason_2\": \"Video 2 depicts a more logical spatial arrangement where the two groups interact in a shared space, suggesting the requested mingling and exchange.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders the specific visual attributes of the two distinct groups (traditional vs. modern), whereas Video 1 fails to distinguish the 'modern' group, rendering them in confusing, glitchy attire.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Body Integrity)\", \"reason_1\": \"Video 1 exhibits severe 'melting' effects; faces and limbs constantly warp, disappear, or merge with the background.\", \"reason_2\": \"Video 2 maintains the structural integrity of the human figures much better, with limbs and faces remaining consistent throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image in Video 1 is soft, blurry, and lacks texture detail, resembling a low-resolution generation.\", \"reason_2\": \"Video 2 is crisp, with clear textures on the clothing and distinct separation between foreground and background.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement in Video 1 is jerky and unnatural, driven by the morphing of the subjects rather than actual dance physics.\", \"reason_2\": \"Video 2 displays smoother, more grounded motion that resembles actual human dancing.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, offering a sharp, stable image. Video 1 is plagued by severe artifacts, blurring, and constant morphological instability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Contrast & Color Harmony\", \"reason_1\": \"Video 1 has a muddy color palette where the 'modern' and 'traditional' elements blend into a confused mess.\", \"reason_2\": \"Video 2 effectively uses color contrast (bright traditional reds/yellows vs. sleek black) to visually narrate the theme of cultural fusion.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is chaotic, often cutting off heads or losing focus on the main action.\", \"reason_2\": \"Video 2 uses a wider shot that successfully encompasses both groups, allowing the viewer to appreciate the contrast and interaction.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmosphere & Mood\", \"reason_1\": \"The mood in Video 1 is unintentionally eerie due to the facial distortions, failing to capture the 'joyful' and 'respectful' tone.\", \"reason_2\": \"Video 2 successfully conveys a vibrant, festive atmosphere consistent with a cultural exchange event.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the aesthetic of a cultural festival with vibrant colors and clear composition, whereas Video 1 is visually messy and confusing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in both semantic accuracy and technical quality. It successfully distinguishes the two required groups (traditional vs. modern) with clear visual cues (costumes and props), whereas Video 1 blends them into a chaotic, morphing mass. Video 2 also maintains much higher morphological stability and image sharpness, avoiding the severe distortions and 'melting' artifacts present in Video 1.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dual-Group Distinction (Traditional vs. Modern)", "reason_1": "Video 1 fails to separate the groups; the 'modern' dancers are dressed in bizarre, glitchy costumes that look like distorted versions of the traditional attire, lacking the requested 'sleek' look.", "reason_2": "Video 2 clearly distinguishes the groups: one side features drummers in colorful traditional headdresses, while the other features dancers in black leather/sleek outfits, perfectly matching the prompt's contrast.", "score_1": 2, "score_2": 8}, {"name": "Instrument & Prop Fidelity", "reason_1": "The drums and flutes in Video 1 are heavily distorted, often merging with the dancers' bodies or appearing as unrecognizable blobs.", "reason_2": "Video 2 renders the large drums and headdresses with high fidelity and distinct textures, making the cultural elements immediately recognizable.", "score_1": 3, "score_2": 7}, {"name": "Interaction & Mingling Logic", "reason_1": "The mingling in Video 1 appears as a chaotic collision of morphing figures rather than a social exchange.", "reason_2": "Video 2 depicts a more logical spatial arrangement where the two groups interact in a shared space, suggesting the requested mingling and exchange.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders the specific visual attributes of the two distinct groups (traditional vs. modern), whereas Video 1 fails to distinguish the 'modern' group, rendering them in confusing, glitchy attire.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Body Integrity)", "reason_1": "Video 1 exhibits severe 'melting' effects; faces and limbs constantly warp, disappear, or merge with the background.", "reason_2": "Video 2 maintains the structural integrity of the human figures much better, with limbs and faces remaining consistent throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image in Video 1 is soft, blurry, and lacks texture detail, resembling a low-resolution generation.", "reason_2": "Video 2 is crisp, with clear textures on the clothing and distinct separation between foreground and background.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "The movement in Video 1 is jerky and unnatural, driven by the morphing of the subjects rather than actual dance physics.", "reason_2": "Video 2 displays smoother, more grounded motion that resembles actual human dancing.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, offering a sharp, stable image. Video 1 is plagued by severe artifacts, blurring, and constant morphological instability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Contrast & Color Harmony", "reason_1": "Video 1 has a muddy color palette where the 'modern' and 'traditional' elements blend into a confused mess.", "reason_2": "Video 2 effectively uses color contrast (bright traditional reds/yellows vs. sleek black) to visually narrate the theme of cultural fusion.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is chaotic, often cutting off heads or losing focus on the main action.", "reason_2": "Video 2 uses a wider shot that successfully encompasses both groups, allowing the viewer to appreciate the contrast and interaction.", "score_1": 4, "score_2": 6}, {"name": "Atmosphere & Mood", "reason_1": "The mood in Video 1 is unintentionally eerie due to the facial distortions, failing to capture the 'joyful' and 'respectful' tone.", "reason_2": "Video 2 successfully conveys a vibrant, festive atmosphere consistent with a cultural exchange event.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the aesthetic of a cultural festival with vibrant colors and clear composition, whereas Video 1 is visually messy and confusing.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in both semantic accuracy and technical quality. It successfully distinguishes the two required groups (traditional vs. modern) with clear visual cues (costumes and props), whereas Video 1 blends them into a chaotic, morphing mass. Video 2 also maintains much higher morphological stability and image sharpness, avoiding the severe distortions and 'melting' artifacts present in Video 1.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 61.132} +{"pair_id": "057_seed_930", "sample_index": 57, "seed": 930, "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dual-Group Distinction (Traditional vs. Modern)\", \"reason_1\": \"Video 1 fails to separate the groups; the 'modern' dancers are dressed in casual street clothes that blend indistinguishably with the traditional performers.\", \"reason_2\": \"Video 2 clearly delineates two groups: one in elaborate, colorful traditional costumes and another in sleek, modern black-and-white outfits, perfectly matching the prompt's contrast requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Interaction Logic (Mingling & Teaching)\", \"reason_1\": \"The interaction in Video 1 is chaotic and lacks the specific 'teaching' or 'exchanging steps' dynamic; it appears as a random crowd.\", \"reason_2\": \"Video 2 depicts a clear moment of connection where a modern dancer and a traditional dancer engage in a specific dance move together, fulfilling the 'teaching' and 'fusion' aspect of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Prop & Attribute Fidelity (Drums/Flutes)\", \"reason_1\": \"Video 1 features prominent, large drums that are rendered with high detail and texture, strongly anchoring the 'rhythmic drumming' prompt element.\", \"reason_2\": \"Video 2 includes the props, but they are slightly less detailed and prominent compared to the massive drums in Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 accurately renders the two distinct groups and their specific attire, whereas Video 1 fails to visually distinguish the 'modern' community from the traditional one.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The faces and bodies in Video 1 morph significantly throughout the clip, losing identity consistency.\", \"reason_2\": \"Video 2 maintains the identity of the main dancers (the man in the leather jacket and the woman in the yellow dress) with much higher stability.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The movement in Video 1 is somewhat floaty and lacks weight, with limbs occasionally blending into the background.\", \"reason_2\": \"Video 2 displays more grounded movement; the dancers' steps connect better with the floor, and the interaction between the two dancers follows logical physical space.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 has a slightly softer, more 'dreamy' focus which obscures details.\", \"reason_2\": \"Video 2 is sharper, allowing for clearer distinction of the clothing textures and facial features.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 maintains better subject consistency and clearer motion, whereas Video 1 suffers from significant morphing and identity loss.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Fusion Arc)\", \"reason_1\": \"Video 1 feels like a static loop of a festival without a clear beginning, middle, or progression toward mingling.\", \"reason_2\": \"Video 2 captures the narrative arc of the prompt: starting with separate groups and progressing to a specific moment of cultural exchange and fusion.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is cluttered, often cutting off heads or obscuring the action with foreground elements.\", \"reason_2\": \"Video 2 uses a wider shot that effectively frames both groups and their interaction, allowing the viewer to see the contrast in styles clearly.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmosphere & Energy\", \"reason_1\": \"Video 1 successfully captures a high-energy, vibrant festival atmosphere with bright colors.\", \"reason_2\": \"Video 2 also succeeds in creating a lively atmosphere, balancing the energy of the drummers with the fluidity of the dancers.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 effectively tells the story of cultural exchange through its composition and staging, while Video 1 is a generic crowd shot.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully visualizes the core narrative requirement of 'two distinct communities' with contrasting styles (traditional vs. modern). It clearly depicts the interaction and 'teaching' moment described in the prompt. Video 1, while vibrant, fails to distinguish the modern community, blending everyone into a single, indistinct group, and suffers from lower temporal stability.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dual-Group Distinction (Traditional vs. Modern)", "reason_1": "Video 1 fails to separate the groups; the 'modern' dancers are dressed in casual street clothes that blend indistinguishably with the traditional performers.", "reason_2": "Video 2 clearly delineates two groups: one in elaborate, colorful traditional costumes and another in sleek, modern black-and-white outfits, perfectly matching the prompt's contrast requirement.", "score_1": 2, "score_2": 8}, {"name": "Interaction Logic (Mingling & Teaching)", "reason_1": "The interaction in Video 1 is chaotic and lacks the specific 'teaching' or 'exchanging steps' dynamic; it appears as a random crowd.", "reason_2": "Video 2 depicts a clear moment of connection where a modern dancer and a traditional dancer engage in a specific dance move together, fulfilling the 'teaching' and 'fusion' aspect of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Prop & Attribute Fidelity (Drums/Flutes)", "reason_1": "Video 1 features prominent, large drums that are rendered with high detail and texture, strongly anchoring the 'rhythmic drumming' prompt element.", "reason_2": "Video 2 includes the props, but they are slightly less detailed and prominent compared to the massive drums in Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 accurately renders the two distinct groups and their specific attire, whereas Video 1 fails to visually distinguish the 'modern' community from the traditional one.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The faces and bodies in Video 1 morph significantly throughout the clip, losing identity consistency.", "reason_2": "Video 2 maintains the identity of the main dancers (the man in the leather jacket and the woman in the yellow dress) with much higher stability.", "score_1": 3, "score_2": 7}, {"name": "Motion Coherence & Physics", "reason_1": "The movement in Video 1 is somewhat floaty and lacks weight, with limbs occasionally blending into the background.", "reason_2": "Video 2 displays more grounded movement; the dancers' steps connect better with the floor, and the interaction between the two dancers follows logical physical space.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 has a slightly softer, more 'dreamy' focus which obscures details.", "reason_2": "Video 2 is sharper, allowing for clearer distinction of the clothing textures and facial features.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 maintains better subject consistency and clearer motion, whereas Video 1 suffers from significant morphing and identity loss.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Fusion Arc)", "reason_1": "Video 1 feels like a static loop of a festival without a clear beginning, middle, or progression toward mingling.", "reason_2": "Video 2 captures the narrative arc of the prompt: starting with separate groups and progressing to a specific moment of cultural exchange and fusion.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is cluttered, often cutting off heads or obscuring the action with foreground elements.", "reason_2": "Video 2 uses a wider shot that effectively frames both groups and their interaction, allowing the viewer to see the contrast in styles clearly.", "score_1": 4, "score_2": 6}, {"name": "Atmosphere & Energy", "reason_1": "Video 1 successfully captures a high-energy, vibrant festival atmosphere with bright colors.", "reason_2": "Video 2 also succeeds in creating a lively atmosphere, balancing the energy of the drummers with the fluidity of the dancers.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 effectively tells the story of cultural exchange through its composition and staging, while Video 1 is a generic crowd shot.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully visualizes the core narrative requirement of 'two distinct communities' with contrasting styles (traditional vs. modern). It clearly depicts the interaction and 'teaching' moment described in the prompt. Video 1, while vibrant, fails to distinguish the modern community, blending everyone into a single, indistinct group, and suffers from lower temporal stability.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 34.0, "total_score_2": 56.0, "elapsed_sec": 62.494} +{"pair_id": "058_seed_42", "sample_index": 58, "seed": 42, "prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_42_In a dimly lit conference room a diverse group of.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_42_In a dimly lit conference room a diverse group of.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_42_In a dimly lit conference room a diverse group of.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_42_In a dimly lit conference room a diverse group of.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Fidelity (Lighting & Mood)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'tense' atmosphere requested.\", \"reason_2\": \"Video 2 presents a bright, evenly lit room that feels casual and lacks the requested tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Action Specificity\", \"reason_1\": \"Video 1 clearly depicts the woman gesturing passionately and the man with crossed arms, matching the prompt's action cues.\", \"reason_2\": \"Video 2 shows generic meeting behavior; the specific 'passionate argument' and 'skeptical listening' are not clearly distinguishable.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Logic\", \"reason_1\": \"Video 1 attempts the requested 'pan' and 'shift' to focus on different characters.\", \"reason_2\": \"Video 2 utilizes a static wide shot with no camera movement to shift focus as requested.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 adheres strictly to the prompt's descriptive elements, including the lighting, specific character actions, and camera movement, whereas Video 2 ignores the atmospheric and cinematic instructions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"Video 1 fails significantly here; the characters morph and change appearance completely between the camera cuts.\", \"reason_2\": \"Video 2 maintains consistent character identities throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 exhibits noticeable warping and distortion of faces and hands during motion.\", \"reason_2\": \"Video 2 is morphologically stable with no obvious warping artifacts.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 has a slightly softer, more generated look with some noise.\", \"reason_2\": \"Video 2 appears sharper and cleaner, resembling standard stock footage.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior in terms of stability and consistency. Video 1 suffers from severe hallucinations where characters change identity and appearance between shots.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses varied shot sizes and angles to create a cinematic feel appropriate for a dramatic scene.\", \"reason_2\": \"Video 2 uses a flat, uninspired wide angle that lacks cinematic intent.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Emotional Impact & Tension\", \"reason_1\": \"Video 1 successfully conveys the 'high stakes' and 'tense' mood through lighting and acting.\", \"reason_2\": \"Video 2 feels emotionally neutral and mundane.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow\", \"reason_1\": \"Video 1 follows the narrative sequence of the prompt (Woman -> Man -> Elderly Man).\", \"reason_2\": \"Video 2 is a single continuous shot that does not follow the narrative progression described.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a cinematic experience that matches the dramatic tone of the prompt, whereas Video 2 feels like a flat, corporate training video.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific atmospheric ('dimly lit', 'tense') and narrative requirements of the prompt, including the specific character actions (passionate gesturing, skeptical listening) and the requested camera movement (pans and shifts). Video 2, while technically more stable, fails to adhere to the prompt's core constraints, presenting a bright, static, and generic meeting scene that lacks the requested dramatic tension and specific character interactions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Fidelity (Lighting & Mood)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'tense' atmosphere requested.", "reason_2": "Video 2 presents a bright, evenly lit room that feels casual and lacks the requested tension.", "score_1": 9, "score_2": 1}, {"name": "Subject Action Specificity", "reason_1": "Video 1 clearly depicts the woman gesturing passionately and the man with crossed arms, matching the prompt's action cues.", "reason_2": "Video 2 shows generic meeting behavior; the specific 'passionate argument' and 'skeptical listening' are not clearly distinguishable.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Logic", "reason_1": "Video 1 attempts the requested 'pan' and 'shift' to focus on different characters.", "reason_2": "Video 2 utilizes a static wide shot with no camera movement to shift focus as requested.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 adheres strictly to the prompt's descriptive elements, including the lighting, specific character actions, and camera movement, whereas Video 2 ignores the atmospheric and cinematic instructions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "Video 1 fails significantly here; the characters morph and change appearance completely between the camera cuts.", "reason_2": "Video 2 maintains consistent character identities throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "Video 1 exhibits noticeable warping and distortion of faces and hands during motion.", "reason_2": "Video 2 is morphologically stable with no obvious warping artifacts.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 has a slightly softer, more generated look with some noise.", "reason_2": "Video 2 appears sharper and cleaner, resembling standard stock footage.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior in terms of stability and consistency. Video 1 suffers from severe hallucinations where characters change identity and appearance between shots.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses varied shot sizes and angles to create a cinematic feel appropriate for a dramatic scene.", "reason_2": "Video 2 uses a flat, uninspired wide angle that lacks cinematic intent.", "score_1": 8, "score_2": 2}, {"name": "Emotional Impact & Tension", "reason_1": "Video 1 successfully conveys the 'high stakes' and 'tense' mood through lighting and acting.", "reason_2": "Video 2 feels emotionally neutral and mundane.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow", "reason_1": "Video 1 follows the narrative sequence of the prompt (Woman -> Man -> Elderly Man).", "reason_2": "Video 2 is a single continuous shot that does not follow the narrative progression described.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a cinematic experience that matches the dramatic tone of the prompt, whereas Video 2 feels like a flat, corporate training video.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific atmospheric ('dimly lit', 'tense') and narrative requirements of the prompt, including the specific character actions (passionate gesturing, skeptical listening) and the requested camera movement (pans and shifts). Video 2, while technically more stable, fails to adhere to the prompt's core constraints, presenting a bright, static, and generic meeting scene that lacks the requested dramatic tension and specific character interactions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 59.0, "total_score_2": 31.0, "elapsed_sec": 58.12} +{"pair_id": "058_seed_310", "sample_index": 58, "seed": 310, "prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_310_In a dimly lit conference room a diverse group of.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_310_In a dimly lit conference room a diverse group of.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_310_In a dimly lit conference room a diverse group of.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_310_In a dimly lit conference room a diverse group of.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Diversity\", \"reason_1\": \"Video 1 depicts a homogenous group of older individuals, missing the 'young man' and 'diverse group' requirements.\", \"reason_2\": \"Video 2 successfully generates a diverse group including a young man, a middle-aged woman, and an elderly gentleman as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Specificity (Gestures & Posture)\", \"reason_1\": \"The subjects in Video 1 are largely static or performing generic writing motions, missing the specific 'passionate argument' or 'leaning back' poses.\", \"reason_2\": \"Video 2 captures the 'arms crossed' pose of the young man and the 'scribbling' of the woman, aligning closer to the prompt's action descriptions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Atmosphere (Lighting)\", \"reason_1\": \"Video 1 correctly renders a 'dimly lit' room with moody, dramatic lighting.\", \"reason_2\": \"Video 2 ignores the 'dimly lit' instruction, presenting a brightly lit, standard office environment.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 2 correctly identifies and generates the specific demographic mix (young man, elderly man, woman) and poses (arms crossed, scribbling) requested, whereas Video 1 presents a generic, homogenous group.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"Faces in Video 1 are heavily distorted, with melting features and unnatural eyes.\", \"reason_2\": \"Faces in Video 2 are coherent, distinct, and anatomically correct throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture detail.\", \"reason_2\": \"The video is sharp, high-resolution, and displays clear textures on clothing and skin.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Subjects in Video 1 exhibit warping and shifting shapes as the camera moves.\", \"reason_2\": \"Subjects in Video 2 maintain their form and volume consistently during the camera pan.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is vastly superior in technical execution, offering sharp, stable, and realistic human features, while Video 1 suffers from severe distortion and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Tone & Mood\", \"reason_1\": \"Video 1 successfully establishes the 'tense' and 'dimly lit' atmosphere described in the prompt.\", \"reason_2\": \"Video 2 feels like generic corporate stock footage, lacking the requested tension and dramatic mood.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is somewhat shaky and disorienting.\", \"reason_2\": \"The camera executes a smooth, professional pan across the table.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual experience is marred by artifacts and distortion, making it unpleasant to watch.\", \"reason_2\": \"The video is clean, well-lit, and visually coherent, making it much more aesthetically pleasing.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Although Video 1 has a better 'mood', Video 2 provides a professional, watchable, and aesthetically pleasing result with smooth camera work.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly superior generation quality, producing a high-resolution, stable, and anatomically correct video. It also adheres much better to the specific character demographics (young man, elderly man, woman) and poses (arms crossed, scribbling) described in the prompt. Video 1, while capturing the 'dimly lit' atmosphere better, suffers from severe facial distortion, low resolution, and fails to represent the requested diversity of the group.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Diversity", "reason_1": "Video 1 depicts a homogenous group of older individuals, missing the 'young man' and 'diverse group' requirements.", "reason_2": "Video 2 successfully generates a diverse group including a young man, a middle-aged woman, and an elderly gentleman as requested.", "score_1": 2, "score_2": 8}, {"name": "Action Specificity (Gestures & Posture)", "reason_1": "The subjects in Video 1 are largely static or performing generic writing motions, missing the specific 'passionate argument' or 'leaning back' poses.", "reason_2": "Video 2 captures the 'arms crossed' pose of the young man and the 'scribbling' of the woman, aligning closer to the prompt's action descriptions.", "score_1": 3, "score_2": 7}, {"name": "Environmental Atmosphere (Lighting)", "reason_1": "Video 1 correctly renders a 'dimly lit' room with moody, dramatic lighting.", "reason_2": "Video 2 ignores the 'dimly lit' instruction, presenting a brightly lit, standard office environment.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 2 correctly identifies and generates the specific demographic mix (young man, elderly man, woman) and poses (arms crossed, scribbling) requested, whereas Video 1 presents a generic, homogenous group.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "Faces in Video 1 are heavily distorted, with melting features and unnatural eyes.", "reason_2": "Faces in Video 2 are coherent, distinct, and anatomically correct throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, low-resolution, and lacks texture detail.", "reason_2": "The video is sharp, high-resolution, and displays clear textures on clothing and skin.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "Subjects in Video 1 exhibit warping and shifting shapes as the camera moves.", "reason_2": "Subjects in Video 2 maintain their form and volume consistently during the camera pan.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is vastly superior in technical execution, offering sharp, stable, and realistic human features, while Video 1 suffers from severe distortion and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Tone & Mood", "reason_1": "Video 1 successfully establishes the 'tense' and 'dimly lit' atmosphere described in the prompt.", "reason_2": "Video 2 feels like generic corporate stock footage, lacking the requested tension and dramatic mood.", "score_1": 7, "score_2": 3}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is somewhat shaky and disorienting.", "reason_2": "The camera executes a smooth, professional pan across the table.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The visual experience is marred by artifacts and distortion, making it unpleasant to watch.", "reason_2": "The video is clean, well-lit, and visually coherent, making it much more aesthetically pleasing.", "score_1": 2, "score_2": 8}], "cat_reason": "Although Video 1 has a better 'mood', Video 2 provides a professional, watchable, and aesthetically pleasing result with smooth camera work.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly superior generation quality, producing a high-resolution, stable, and anatomically correct video. It also adheres much better to the specific character demographics (young man, elderly man, woman) and poses (arms crossed, scribbling) described in the prompt. Video 1, while capturing the 'dimly lit' atmosphere better, suffers from severe facial distortion, low resolution, and fails to represent the requested diversity of the group.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 68.985} +{"pair_id": "058_seed_930", "sample_index": 58, "seed": 930, "prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Role Identification\", \"reason_1\": \"Video 1 clearly depicts the diverse group, including the woman with glasses and the elderly gentleman, maintaining their roles throughout.\", \"reason_2\": \"Video 2 generates the subjects, but they are inconsistent; the woman with glasses appears and disappears, and the elderly man is barely recognizable due to distortion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action & Gesture Fidelity\", \"reason_1\": \"Video 1 captures the woman gesturing and the man with crossed arms effectively, aligning well with the prompt's action requirements.\", \"reason_2\": \"Video 2 attempts gestures, but they result in severe anatomical errors (melting hands) rather than recognizable human actions.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Lighting & Setting)\", \"reason_1\": \"Video 1 fails the 'dimly lit' instruction, presenting a bright, daylight-lit room, but correctly renders the conference table and blinds.\", \"reason_2\": \"Video 2 also fails the 'dimly lit' instruction and presents a generic, unstable background that lacks the polished detail of Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully establishes the specific characters and their interactions within a stable environment, whereas Video 2's semantic representation is broken by constant morphing and identity loss.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The characters in Video 1 maintain their facial features and clothing details consistently across the clip.\", \"reason_2\": \"Video 2 exhibits severe identity drift; faces morph into different people or distort into unrecognizable shapes from frame to frame.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 maintains solid object permanence and anatomical structure.\", \"reason_2\": \"Video 2 is plagued by 'melting' effects, where heads and hands lose their structural integrity entirely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, clear, and free of significant noise or artifacts.\", \"reason_2\": \"The video is blurry, low-resolution, and contains distracting visual artifacts.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the deciding category. Video 1 is a stable, high-quality generation. Video 2 is a failure case with extreme temporal instability and artifacting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Motion & Flow\", \"reason_1\": \"Video 1 executes a smooth, logical pan across the table, connecting the different subjects as requested.\", \"reason_2\": \"Video 2 has jerky, disjointed camera movements that jump between angles without logical continuity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The lighting (though too bright) and composition are professional and visually coherent.\", \"reason_2\": \"The visual experience is unpleasant due to the constant warping and lack of focus.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"The clip feels like a single, continuous event in a meeting.\", \"reason_2\": \"The clip feels like a series of unrelated, glitchy frames stitched together.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a watchable, cinematic sequence with smooth camera work. Video 2 is visually jarring and disjointed.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates vastly superior temporal stability, subject consistency, and visual fidelity. While both videos struggle with the 'dimly lit' atmospheric instruction, Video 1 successfully renders a coherent scene with recognizable characters performing the requested actions (gesturing, listening) in a stable environment. Video 2 suffers from severe morphological instability, with faces and bodies melting and distorting significantly, rendering the narrative unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Role Identification", "reason_1": "Video 1 clearly depicts the diverse group, including the woman with glasses and the elderly gentleman, maintaining their roles throughout.", "reason_2": "Video 2 generates the subjects, but they are inconsistent; the woman with glasses appears and disappears, and the elderly man is barely recognizable due to distortion.", "score_1": 8, "score_2": 2}, {"name": "Action & Gesture Fidelity", "reason_1": "Video 1 captures the woman gesturing and the man with crossed arms effectively, aligning well with the prompt's action requirements.", "reason_2": "Video 2 attempts gestures, but they result in severe anatomical errors (melting hands) rather than recognizable human actions.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Lighting & Setting)", "reason_1": "Video 1 fails the 'dimly lit' instruction, presenting a bright, daylight-lit room, but correctly renders the conference table and blinds.", "reason_2": "Video 2 also fails the 'dimly lit' instruction and presents a generic, unstable background that lacks the polished detail of Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully establishes the specific characters and their interactions within a stable environment, whereas Video 2's semantic representation is broken by constant morphing and identity loss.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The characters in Video 1 maintain their facial features and clothing details consistently across the clip.", "reason_2": "Video 2 exhibits severe identity drift; faces morph into different people or distort into unrecognizable shapes from frame to frame.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Video 1 maintains solid object permanence and anatomical structure.", "reason_2": "Video 2 is plagued by 'melting' effects, where heads and hands lose their structural integrity entirely.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, clear, and free of significant noise or artifacts.", "reason_2": "The video is blurry, low-resolution, and contains distracting visual artifacts.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the deciding category. Video 1 is a stable, high-quality generation. Video 2 is a failure case with extreme temporal instability and artifacting.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Motion & Flow", "reason_1": "Video 1 executes a smooth, logical pan across the table, connecting the different subjects as requested.", "reason_2": "Video 2 has jerky, disjointed camera movements that jump between angles without logical continuity.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The lighting (though too bright) and composition are professional and visually coherent.", "reason_2": "The visual experience is unpleasant due to the constant warping and lack of focus.", "score_1": 8, "score_2": 2}, {"name": "Narrative Coherence", "reason_1": "The clip feels like a single, continuous event in a meeting.", "reason_2": "The clip feels like a series of unrelated, glitchy frames stitched together.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a watchable, cinematic sequence with smooth camera work. Video 2 is visually jarring and disjointed.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates vastly superior temporal stability, subject consistency, and visual fidelity. While both videos struggle with the 'dimly lit' atmospheric instruction, Video 1 successfully renders a coherent scene with recognizable characters performing the requested actions (gesturing, listening) in a stable environment. Video 2 suffers from severe morphological instability, with faces and bodies melting and distorting significantly, rendering the narrative unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 58.541} +{"pair_id": "059_seed_42", "sample_index": 59, "seed": 42, "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Lighting & Shadow Dynamics\", \"reason_1\": \"Video 1 features a static, flat background with no dynamic lighting or dancing shadows as requested.\", \"reason_2\": \"Video 2 perfectly renders the 'dimly lit room' with a flickering light source that casts dynamic, dancing shadows on the wall behind the subject.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Expression & Emotional Detail\", \"reason_1\": \"Video 1 depicts a stylized, cartoonish face with a simple tear line, lacking the 'raw emotion' and 'furrowed brows' described.\", \"reason_2\": \"Video 2 captures a realistic, pained expression with furrowed brows and a somber gaze, aligning closely with the 'canvas of raw emotion' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement & Narrative Flow\", \"reason_1\": \"Video 1 is a static shot with no camera movement, failing the 'zoom in' and 'pan out' instructions.\", \"reason_2\": \"Video 2 executes a slow, cinematic push-in (zoom) that enhances the intimacy and tension of the scene, aligning with the prompt's direction.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Object & Action Fidelity (Letter & Hands)\", \"reason_1\": \"Video 1 shows the figure holding a paper, but the hands are static and lack the 'trembling' detail.\", \"reason_2\": \"Video 2 shows the figure clutching a small paper object with hands that appear tense and engaged, fitting the 'clutching a crumpled letter' description.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately interprets the complex environmental and lighting descriptions, whereas Video 1 ignores the dynamic shadow and camera movement requirements entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Style & Textural Fidelity\", \"reason_1\": \"Video 1 is a low-detail, 2D sketch animation with no textural depth.\", \"reason_2\": \"Video 2 offers high-fidelity textures on the skin, clothing, and wooden background, creating a convincing photorealistic look.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Physics & Volumetrics\", \"reason_1\": \"Video 1 lacks volumetric lighting; the candle is a simple drawing with no light interaction on the subject.\", \"reason_2\": \"Video 2 demonstrates excellent lighting physics, with the candle's flicker realistically illuminating the subject's face and casting corresponding shadows.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness & Fluidity\", \"reason_1\": \"Video 1 has a low frame rate and jerky, puppet-warp style animation.\", \"reason_2\": \"Video 2 features smooth, continuous motion in both the camera work and the subtle movements of the subject.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 presents a high-quality, photorealistic render with sophisticated lighting physics, while Video 1 is a low-fidelity, jerky 2D animation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood & Tone\", \"reason_1\": \"The cartoon style of Video 1 creates a whimsical or childish tone that clashes with the 'haunting' and 'solitary' mood.\", \"reason_2\": \"Video 2 successfully establishes a somber, haunting atmosphere through color grading and lighting, matching the 'storm within' narrative.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 is a flat, 2D composition with no sense of spatial depth.\", \"reason_2\": \"Video 2 utilizes depth of field and spatial arrangement to create a cinematic look that draws the viewer into the subject's isolation.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Immersion\", \"reason_1\": \"The lack of detail and movement in Video 1 prevents any real narrative immersion.\", \"reason_2\": \"The combination of the close-up framing, the lighting, and the subject's expression in Video 2 effectively conveys the story of inner conflict and grief.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully evokes the 'haunting' and 'solitary' mood through cinematic composition and lighting, whereas Video 1's aesthetic is too simplistic to convey the intended emotional weight.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every metric, offering a photorealistic and cinematic interpretation that perfectly captures the atmospheric lighting, emotional depth, and camera movement described in the prompt. Video 1 is a simplistic, static 2D animation that fails to render the dynamic shadows, camera zoom, or the raw emotional texture required.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Lighting & Shadow Dynamics", "reason_1": "Video 1 features a static, flat background with no dynamic lighting or dancing shadows as requested.", "reason_2": "Video 2 perfectly renders the 'dimly lit room' with a flickering light source that casts dynamic, dancing shadows on the wall behind the subject.", "score_1": 1, "score_2": 9}, {"name": "Subject Expression & Emotional Detail", "reason_1": "Video 1 depicts a stylized, cartoonish face with a simple tear line, lacking the 'raw emotion' and 'furrowed brows' described.", "reason_2": "Video 2 captures a realistic, pained expression with furrowed brows and a somber gaze, aligning closely with the 'canvas of raw emotion' description.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement & Narrative Flow", "reason_1": "Video 1 is a static shot with no camera movement, failing the 'zoom in' and 'pan out' instructions.", "reason_2": "Video 2 executes a slow, cinematic push-in (zoom) that enhances the intimacy and tension of the scene, aligning with the prompt's direction.", "score_1": 1, "score_2": 9}, {"name": "Object & Action Fidelity (Letter & Hands)", "reason_1": "Video 1 shows the figure holding a paper, but the hands are static and lack the 'trembling' detail.", "reason_2": "Video 2 shows the figure clutching a small paper object with hands that appear tense and engaged, fitting the 'clutching a crumpled letter' description.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately interprets the complex environmental and lighting descriptions, whereas Video 1 ignores the dynamic shadow and camera movement requirements entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Style & Textural Fidelity", "reason_1": "Video 1 is a low-detail, 2D sketch animation with no textural depth.", "reason_2": "Video 2 offers high-fidelity textures on the skin, clothing, and wooden background, creating a convincing photorealistic look.", "score_1": 1, "score_2": 9}, {"name": "Lighting Physics & Volumetrics", "reason_1": "Video 1 lacks volumetric lighting; the candle is a simple drawing with no light interaction on the subject.", "reason_2": "Video 2 demonstrates excellent lighting physics, with the candle's flicker realistically illuminating the subject's face and casting corresponding shadows.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness & Fluidity", "reason_1": "Video 1 has a low frame rate and jerky, puppet-warp style animation.", "reason_2": "Video 2 features smooth, continuous motion in both the camera work and the subtle movements of the subject.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 presents a high-quality, photorealistic render with sophisticated lighting physics, while Video 1 is a low-fidelity, jerky 2D animation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood & Tone", "reason_1": "The cartoon style of Video 1 creates a whimsical or childish tone that clashes with the 'haunting' and 'solitary' mood.", "reason_2": "Video 2 successfully establishes a somber, haunting atmosphere through color grading and lighting, matching the 'storm within' narrative.", "score_1": 1, "score_2": 9}, {"name": "Cinematic Composition & Depth", "reason_1": "Video 1 is a flat, 2D composition with no sense of spatial depth.", "reason_2": "Video 2 utilizes depth of field and spatial arrangement to create a cinematic look that draws the viewer into the subject's isolation.", "score_1": 2, "score_2": 8}, {"name": "Narrative Immersion", "reason_1": "The lack of detail and movement in Video 1 prevents any real narrative immersion.", "reason_2": "The combination of the close-up framing, the lighting, and the subject's expression in Video 2 effectively conveys the story of inner conflict and grief.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully evokes the 'haunting' and 'solitary' mood through cinematic composition and lighting, whereas Video 1's aesthetic is too simplistic to convey the intended emotional weight.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every metric, offering a photorealistic and cinematic interpretation that perfectly captures the atmospheric lighting, emotional depth, and camera movement described in the prompt. Video 1 is a simplistic, static 2D animation that fails to render the dynamic shadows, camera zoom, or the raw emotional texture required.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 17.0, "total_score_2": 83.0, "elapsed_sec": 64.337} +{"pair_id": "059_seed_310", "sample_index": 59, "seed": 310, "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_310_A solitary figure sits on the edge of a dimly lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_310_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_310_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_310_A solitary figure sits on the edge of a dimly lit.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Lighting & Shadow Dynamics\", \"reason_1\": \"Video 1 perfectly visualizes the 'silhouette partially illuminated' and 'shadows that dance across the walls' as explicitly requested.\", \"reason_2\": \"Video 2 utilizes generic soft lighting; the shadows are static and do not 'dance' or interact with the wall as described.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Expression & Emotional Specificity\", \"reason_1\": \"The character clearly displays 'furrowed brows' and 'tear-filled eyes' with a readable expression of sadness.\", \"reason_2\": \"The subject's face is heavily distorted and morphs unnaturally, making the specific emotions (furrowed brows/tears) difficult to discern amidst the artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Sequence Fidelity (Zoom & Letter)\", \"reason_1\": \"Video 1 executes the 'zoom in' on the letter and the 'clutching' action effectively, though it misses the final 'pan out' and 'deep breath' sequence.\", \"reason_2\": \"Video 2 attempts the zoom but the motion is jerky, and the interaction with the letter is marred by the subject's body morphing.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately captures the specific lighting dynamics and emotional cues requested, whereas Video 2 fails to render the specific shadow play and struggles with the subject's expression.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"The character's features remain consistent and solid throughout the animation.\", \"reason_2\": \"The subject's face suffers from severe 'melting' and distortion, losing structural integrity entirely during the movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Clarity & Artifact Control\", \"reason_1\": \"The image is clean, sharp, and free of generation noise.\", \"reason_2\": \"The video contains significant visual noise and blurring, particularly around the hands and face.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The animation is fluid with a consistent frame rate.\", \"reason_2\": \"The motion is stuttery and unnatural, resembling a series of morphed images rather than continuous video.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains perfect structural integrity within its style, while Video 2 exhibits catastrophic failure in maintaining subject identity and form.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood & Tone\", \"reason_1\": \"The sepia tones and high-contrast shadows effectively evoke the 'solitary' and 'haunting' mood described.\", \"reason_2\": \"The mood is disrupted by the uncanny valley effect of the distorted face, creating a horror vibe rather than a sad one.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Intent\", \"reason_1\": \"The camera zoom is smooth and intentional, focusing the viewer's attention on the letter.\", \"reason_2\": \"The camera movement feels accidental and shaky, lacking cinematic intent.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"The clip tells a clear, coherent micro-story of a sad figure reading a letter.\", \"reason_2\": \"The narrative is lost because the viewer is distracted by the technical failures of the generation.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully establishes the haunting, solitary mood through effective composition and lighting, whereas Video 2's aesthetic is broken by technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates superior adherence to the prompt's specific atmospheric and lighting requirements, particularly the 'dancing shadows' and 'silhouette' effects, while maintaining high morphological stability. Video 2 suffers from severe facial distortion and temporal instability, which destroys the intended emotional narrative.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Lighting & Shadow Dynamics", "reason_1": "Video 1 perfectly visualizes the 'silhouette partially illuminated' and 'shadows that dance across the walls' as explicitly requested.", "reason_2": "Video 2 utilizes generic soft lighting; the shadows are static and do not 'dance' or interact with the wall as described.", "score_1": 9, "score_2": 1}, {"name": "Subject Expression & Emotional Specificity", "reason_1": "The character clearly displays 'furrowed brows' and 'tear-filled eyes' with a readable expression of sadness.", "reason_2": "The subject's face is heavily distorted and morphs unnaturally, making the specific emotions (furrowed brows/tears) difficult to discern amidst the artifacts.", "score_1": 8, "score_2": 2}, {"name": "Action Sequence Fidelity (Zoom & Letter)", "reason_1": "Video 1 executes the 'zoom in' on the letter and the 'clutching' action effectively, though it misses the final 'pan out' and 'deep breath' sequence.", "reason_2": "Video 2 attempts the zoom but the motion is jerky, and the interaction with the letter is marred by the subject's body morphing.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately captures the specific lighting dynamics and emotional cues requested, whereas Video 2 fails to render the specific shadow play and struggles with the subject's expression.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Body)", "reason_1": "The character's features remain consistent and solid throughout the animation.", "reason_2": "The subject's face suffers from severe 'melting' and distortion, losing structural integrity entirely during the movement.", "score_1": 9, "score_2": 1}, {"name": "Visual Clarity & Artifact Control", "reason_1": "The image is clean, sharp, and free of generation noise.", "reason_2": "The video contains significant visual noise and blurring, particularly around the hands and face.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The animation is fluid with a consistent frame rate.", "reason_2": "The motion is stuttery and unnatural, resembling a series of morphed images rather than continuous video.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains perfect structural integrity within its style, while Video 2 exhibits catastrophic failure in maintaining subject identity and form.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood & Tone", "reason_1": "The sepia tones and high-contrast shadows effectively evoke the 'solitary' and 'haunting' mood described.", "reason_2": "The mood is disrupted by the uncanny valley effect of the distorted face, creating a horror vibe rather than a sad one.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Intent", "reason_1": "The camera zoom is smooth and intentional, focusing the viewer's attention on the letter.", "reason_2": "The camera movement feels accidental and shaky, lacking cinematic intent.", "score_1": 7, "score_2": 3}, {"name": "Narrative Coherence", "reason_1": "The clip tells a clear, coherent micro-story of a sad figure reading a letter.", "reason_2": "The narrative is lost because the viewer is distracted by the technical failures of the generation.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully establishes the haunting, solitary mood through effective composition and lighting, whereas Video 2's aesthetic is broken by technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates superior adherence to the prompt's specific atmospheric and lighting requirements, particularly the 'dancing shadows' and 'silhouette' effects, while maintaining high morphological stability. Video 2 suffers from severe facial distortion and temporal instability, which destroys the intended emotional narrative.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 56.037} +{"pair_id": "059_seed_930", "sample_index": 59, "seed": 930, "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Facial Expression & Emotional Specificity\", \"reason_1\": \"Video 1 depicts the subject from behind, completely obscuring the face. It is impossible to see the 'furrowed brows' or 'tear-filled eyes' requested.\", \"reason_2\": \"Video 2 clearly depicts a face with a somber, furrowed expression, aligning well with the prompt's request for a 'canvas of raw emotion'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Elements (Candle & Shadows)\", \"reason_1\": \"Video 1 explicitly includes the 'single flickering candle' and the resulting shadows on the wall, matching the setting description perfectly.\", \"reason_2\": \"Video 2 features dim lighting and shadows but fails to generate the specific 'flickering candle' object mentioned in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Dynamics (Zoom & Pan)\", \"reason_1\": \"Video 1 is a static shot with no camera movement, failing the 'zoom in' and 'pan out' instructions.\", \"reason_2\": \"Video 2 executes a clear camera push/zoom towards the subject, aligning with the 'camera zooms in' instruction.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Action (Clutching Letter)\", \"reason_1\": \"Video 1 shows the subject holding a paper, but the hands are static and do not 'clutch' or tremble.\", \"reason_2\": \"Video 2 shows the subject holding a small object with hands that appear to be in motion, better approximating the 'clutching' action.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the critical facial details and camera movement requested, whereas Video 1 completely hides the subject's face and ignores the camera instructions.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Fluidity & Frame Rate\", \"reason_1\": \"Video 1 has extremely low frame rate, resembling a slideshow of static images rather than a video.\", \"reason_2\": \"Video 2 features smooth, continuous motion consistent with standard video generation.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Style & Texture Realism\", \"reason_1\": \"Video 1 utilizes a flat, 2D anime style which, while valid, lacks the depth and texture implied by the detailed lighting description.\", \"reason_2\": \"Video 2 uses a photorealistic (albeit sepia-toned) style that renders skin texture and lighting depth more effectively.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject is consistent, largely because there is almost no movement to challenge the consistency.\", \"reason_2\": \"The subject's identity remains stable throughout the zoom, with no significant morphing of facial features.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 is a fluid video with realistic motion, while Video 1 is essentially a low-frame-rate slideshow of static images.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"The lack of facial visibility and the static nature of the clip result in a very low emotional impact.\", \"reason_2\": \"The close-up on the sad expression and the somber lighting effectively convey the 'inner conflict' and 'isolation' described.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The composition is flat and lacks cinematic depth.\", \"reason_2\": \"The framing focuses on the subject's emotion, using the zoom to heighten the dramatic tension.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression\", \"reason_1\": \"There is no narrative progression; the scene is frozen in time.\", \"reason_2\": \"The video progresses from a wider shot to a close-up, simulating the narrative beat of focusing on the subject's internal state.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully conveys the emotional weight and narrative progression of the prompt through its composition and camera work.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the superior generation because it successfully renders the specific facial expressions ('furrowed brows', 'raw emotion') and executes the requested camera movement ('zooms in'). Video 1, while containing the candle element, fails to show the subject's face (hiding the required emotion) and lacks any significant motion or camera work, appearing as a static slideshow.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Facial Expression & Emotional Specificity", "reason_1": "Video 1 depicts the subject from behind, completely obscuring the face. It is impossible to see the 'furrowed brows' or 'tear-filled eyes' requested.", "reason_2": "Video 2 clearly depicts a face with a somber, furrowed expression, aligning well with the prompt's request for a 'canvas of raw emotion'.", "score_1": 1, "score_2": 9}, {"name": "Environmental Elements (Candle & Shadows)", "reason_1": "Video 1 explicitly includes the 'single flickering candle' and the resulting shadows on the wall, matching the setting description perfectly.", "reason_2": "Video 2 features dim lighting and shadows but fails to generate the specific 'flickering candle' object mentioned in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Dynamics (Zoom & Pan)", "reason_1": "Video 1 is a static shot with no camera movement, failing the 'zoom in' and 'pan out' instructions.", "reason_2": "Video 2 executes a clear camera push/zoom towards the subject, aligning with the 'camera zooms in' instruction.", "score_1": 1, "score_2": 9}, {"name": "Subject Action (Clutching Letter)", "reason_1": "Video 1 shows the subject holding a paper, but the hands are static and do not 'clutch' or tremble.", "reason_2": "Video 2 shows the subject holding a small object with hands that appear to be in motion, better approximating the 'clutching' action.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the critical facial details and camera movement requested, whereas Video 1 completely hides the subject's face and ignores the camera instructions.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Fluidity & Frame Rate", "reason_1": "Video 1 has extremely low frame rate, resembling a slideshow of static images rather than a video.", "reason_2": "Video 2 features smooth, continuous motion consistent with standard video generation.", "score_1": 1, "score_2": 9}, {"name": "Visual Style & Texture Realism", "reason_1": "Video 1 utilizes a flat, 2D anime style which, while valid, lacks the depth and texture implied by the detailed lighting description.", "reason_2": "Video 2 uses a photorealistic (albeit sepia-toned) style that renders skin texture and lighting depth more effectively.", "score_1": 3, "score_2": 7}, {"name": "Subject Identity Persistence", "reason_1": "The subject is consistent, largely because there is almost no movement to challenge the consistency.", "reason_2": "The subject's identity remains stable throughout the zoom, with no significant morphing of facial features.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 is a fluid video with realistic motion, while Video 1 is essentially a low-frame-rate slideshow of static images.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Mood", "reason_1": "The lack of facial visibility and the static nature of the clip result in a very low emotional impact.", "reason_2": "The close-up on the sad expression and the somber lighting effectively convey the 'inner conflict' and 'isolation' described.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition", "reason_1": "The composition is flat and lacks cinematic depth.", "reason_2": "The framing focuses on the subject's emotion, using the zoom to heighten the dramatic tension.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression", "reason_1": "There is no narrative progression; the scene is frozen in time.", "reason_2": "The video progresses from a wider shot to a close-up, simulating the narrative beat of focusing on the subject's internal state.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully conveys the emotional weight and narrative progression of the prompt through its composition and camera work.", "cat_winner": "Video 2"}], "reason": "Video 2 is the superior generation because it successfully renders the specific facial expressions ('furrowed brows', 'raw emotion') and executes the requested camera movement ('zooms in'). Video 1, while containing the candle element, fails to show the subject's face (hiding the required emotion) and lacks any significant motion or camera work, appearing as a static slideshow.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 30.0, "total_score_2": 70.0, "elapsed_sec": 61.128} +{"pair_id": "060_seed_42", "sample_index": 60, "seed": 42, "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4", "swapped": false, "success": true, "model_output": "The user wants me to compare two videos based on a complex, multi-scene prompt. I will evaluate them across three mandatory categories (Semantic Alignment, Video Quality, Narrative & Aesthetics) and one specialized category for the specific action requirements.\n\n**1. Semantic Alignment & Accuracy**\n* **Multi-Scene Transition Logic:** The prompt requires a sequence: Street -> Park -> Apartment -> Rooftop. Both videos struggle to show all four distinct locations clearly, but Video 1 transitions from a street scene to an interior room scene relatively smoothly. Video 2's transition is abrupt and confusing, seemingly jumping between disconnected clips.\n* **Subject Attribute Consistency:** The prompt specifies a \"young adult, wearing a gray hoodie and jeans.\" Video 1 maintains this look consistently. Video 2 starts with the hoodie but the subject morphs into a different person (long hair, different face) in the final shots.\n* **Action Specificity (Tapping vs. Standing):** The prompt asks for specific actions: walking, sitting on a bench, tapping on a laptop, standing on a rooftop. Video 1 depicts the subject standing near a laptop (though not typing). Video 2 shows a laptop but the subject is not interacting with it; instead, a different character is typing. Both fail the specific action prompts, but Video 1's failure is less jarring than Video 2's hallucination of a new actor.\n\n**2. Video Quality & Dynamic Realism**\n* **Subject Identity Persistence:** This is the deciding factor. Video 1 keeps the protagonist's face and build consistent throughout the clip. Video 2 fails completely, changing the protagonist's identity and gender presentation in the final segment.\n* **Morphological Stability:** Video 1 has some background warping but the main subject is solid. Video 2 exhibits severe morphing, particularly in the final scene where the character's face and hair distort unnaturally.\n* **Visual Fidelity & Lighting:** Video 1 maintains a consistent, albeit slightly stylized, lighting scheme that fits the \"dimly lit/neon\" description. Video 2 has inconsistent lighting and lower perceived resolution in the latter half.\n\n**3. Narrative, Aesthetics & Cinematography**\n* **Atmospheric Tone:** The prompt calls for a mood of \"determination and vulnerability\" with \"neon lights.\" Video 1 captures this urban, slightly melancholic vibe effectively. Video 2 feels disjointed and lacks a cohesive mood.\n* **Cinematic Continuity:** Video 1 feels like a single continuous shot or a well-edited sequence. Video 2 feels like a montage of unrelated generations stitched together.\n* **Composition & Framing:** Video 1 keeps the subject well-framed in the center, allowing the viewer to connect with their expression. Video 2's framing becomes erratic, especially in the final rooftop scene.\n\n**4. Character Consistency & Integrity**\n* This personalized category is necessary because the prompt focuses heavily on a specific character's emotional journey.\n* Video 1 maintains the character's visual identity, allowing the viewer to project the requested emotions (determination, vulnerability) onto the same face.\n* Video 2 breaks the narrative illusion entirely by swapping the protagonist for a different character in the final scene, making the emotional arc impossible to follow.\n\n**Conclusion:**\nVideo 1 is the clear winner. While both videos fail to perfectly execute the complex chain of four distinct locations and specific actions (like typing or sitting on a bench), Video 1 maintains a consistent character identity and a coherent visual style. Video 2 suffers from a catastrophic failure in subject persistence, changing the protagonist entirely in the final scene, and lacks the narrative flow required by the prompt.\n\n```json\n{\n \"prompt\": \"[A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.]\",\n \"categories\": [\n \"A. Semantic Alignment & Accuracy\",\n \"B. Video Quality & Dynamic Realism\",\n \"C. Narrative, Aesthetics & Cinematography\",\n \"D. Character Consistency & Integrity\"\n ],\n \"reason\": \"Video 1 demonstrates superior stability in subject identity and a more coherent attempt at the multi-scene narrative structure. While both videos struggle with the specific action instructions (e.g., neither subject actually types on the laptop), Video 1 maintains the protagonist's appearance throughout the clip. Video 2 fails critically in the final segment, hallucinating a completely different character with different features, breaking the narrative continuity entirely.\",\n \"winner\": \"Video 1\"\n}\n```", "parsed_output": {"prompt": "[A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.]", "categories": ["A. Semantic Alignment & Accuracy", "B. Video Quality & Dynamic Realism", "C. Narrative, Aesthetics & Cinematography", "D. Character Consistency & Integrity"], "reason": "Video 1 demonstrates superior stability in subject identity and a more coherent attempt at the multi-scene narrative structure. While both videos struggle with the specific action instructions (e.g., neither subject actually types on the laptop), Video 1 maintains the protagonist's appearance throughout the clip. Video 2 fails critically in the final segment, hallucinating a completely different character with different features, breaking the narrative continuity entirely.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": null, "total_score_2": null, "elapsed_sec": 53.821} +{"pair_id": "060_seed_310", "sample_index": 60, "seed": 310, "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_310_A young adult wearing a gray hoodie and jeans stan.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_310_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_310_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_310_A young adult wearing a gray hoodie and jeans stan.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Multi-Scene Narrative Progression\", \"reason_1\": \"Video 1 clearly transitions from the street to an interior room, capturing the narrative shift requested.\", \"reason_2\": \"Video 2 remains largely static in the street setting and fails to transition to the apartment or rooftop scenes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attribute Consistency (Hoodie/Jeans)\", \"reason_1\": \"The subject consistently wears the requested gray hoodie and jeans throughout the clip.\", \"reason_2\": \"The subject correctly wears the gray hoodie, though the framing often cuts off the jeans.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Detail (Cluttered Desk/Neon)\", \"reason_1\": \"Video 1 renders a detailed background with papers and items on a desk, matching the 'cluttered' description.\", \"reason_2\": \"Video 2 shows a generic background with no distinct 'cluttered desk' or specific environmental details.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 attempts to depict the sequence of events (street to interior), whereas Video 2 stays stuck in the initial setting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The subject's face remains consistent and recognizable across the different shots.\", \"reason_2\": \"The subject's facial features morph significantly, looking like a different person in the second half of the clip.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Realism\", \"reason_1\": \"The neon lights reflect naturally on the subject's face and hoodie, creating a realistic night atmosphere.\", \"reason_2\": \"The lighting is flatter and less dynamic, with less interaction between the environment and the subject.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity & Stability\", \"reason_1\": \"The movement of the subject walking is relatively smooth and grounded.\", \"reason_2\": \"The motion feels slightly jittery, and the background elements lack temporal stability.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 maintains a stable character identity and realistic lighting, while Video 2 suffers from facial morphing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Vulnerability/Determination)\", \"reason_1\": \"The subject's expression effectively conveys the requested mix of vulnerability and contemplation.\", \"reason_2\": \"The subject's expression is somewhat blank and inconsistent due to the morphing artifacts.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Uses depth of field effectively to separate the subject from the busy background, enhancing the cinematic feel.\", \"reason_2\": \"The composition is flatter with less effective separation between subject and background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Tone (Neon/Night)\", \"reason_1\": \"Successfully establishes a moody, urban night atmosphere consistent with the prompt.\", \"reason_2\": \"The atmosphere is generic and lacks the specific 'dimly lit' and 'neon' moodiness of Video 1.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the emotional tone and cinematic look of the prompt much better than the flatter presentation of Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully attempts the multi-scene narrative progression required by the prompt, transitioning from the street to an interior setting with the correct props (cluttered desk). It also maintains superior subject identity and lighting consistency. Video 2 fails to progress the narrative, remaining in the street setting, and suffers from significant facial morphing and lower visual fidelity.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Multi-Scene Narrative Progression", "reason_1": "Video 1 clearly transitions from the street to an interior room, capturing the narrative shift requested.", "reason_2": "Video 2 remains largely static in the street setting and fails to transition to the apartment or rooftop scenes.", "score_1": 8, "score_2": 2}, {"name": "Subject Attribute Consistency (Hoodie/Jeans)", "reason_1": "The subject consistently wears the requested gray hoodie and jeans throughout the clip.", "reason_2": "The subject correctly wears the gray hoodie, though the framing often cuts off the jeans.", "score_1": 5, "score_2": 5}, {"name": "Environmental Detail (Cluttered Desk/Neon)", "reason_1": "Video 1 renders a detailed background with papers and items on a desk, matching the 'cluttered' description.", "reason_2": "Video 2 shows a generic background with no distinct 'cluttered desk' or specific environmental details.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 attempts to depict the sequence of events (street to interior), whereas Video 2 stays stuck in the initial setting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The subject's face remains consistent and recognizable across the different shots.", "reason_2": "The subject's facial features morph significantly, looking like a different person in the second half of the clip.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Realism", "reason_1": "The neon lights reflect naturally on the subject's face and hoodie, creating a realistic night atmosphere.", "reason_2": "The lighting is flatter and less dynamic, with less interaction between the environment and the subject.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity & Stability", "reason_1": "The movement of the subject walking is relatively smooth and grounded.", "reason_2": "The motion feels slightly jittery, and the background elements lack temporal stability.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 maintains a stable character identity and realistic lighting, while Video 2 suffers from facial morphing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Vulnerability/Determination)", "reason_1": "The subject's expression effectively conveys the requested mix of vulnerability and contemplation.", "reason_2": "The subject's expression is somewhat blank and inconsistent due to the morphing artifacts.", "score_1": 7, "score_2": 3}, {"name": "Cinematic Composition & Depth", "reason_1": "Uses depth of field effectively to separate the subject from the busy background, enhancing the cinematic feel.", "reason_2": "The composition is flatter with less effective separation between subject and background.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Tone (Neon/Night)", "reason_1": "Successfully establishes a moody, urban night atmosphere consistent with the prompt.", "reason_2": "The atmosphere is generic and lacks the specific 'dimly lit' and 'neon' moodiness of Video 1.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the emotional tone and cinematic look of the prompt much better than the flatter presentation of Video 2.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully attempts the multi-scene narrative progression required by the prompt, transitioning from the street to an interior setting with the correct props (cluttered desk). It also maintains superior subject identity and lighting consistency. Video 2 fails to progress the narrative, remaining in the street setting, and suffers from significant facial morphing and lower visual fidelity.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 54.134} +{"pair_id": "060_seed_930", "sample_index": 60, "seed": 930, "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4", "swapped": false, "success": true, "model_output": "Both videos fail to generate the full multi-scene narrative (Street -> Park -> Apartment -> Rooftop) and instead produce a short, disjointed clip focusing primarily on the street and a brief, glitchy cut to an interior. However, Video 1 is significantly superior in visual fidelity, subject consistency, and atmospheric rendering.\n\n**1. Mandatory Categories**\n\n**A. Semantic Alignment & Accuracy**\n* **Subject Attributes & Expression:** Video 1 captures the \"determination and vulnerability\" and the specific lighting reflections on the face much better. Video 2's subject looks somewhat generic and the expression is less distinct.\n* **Environmental Atmosphere:** Video 1 excels at the \"dimly lit city street\" with \"colorful reflections.\" The neon lighting is vibrant and interacts realistically with the subject. Video 2's environment is flatter and less atmospheric.\n* **Narrative Sequence Completeness:** Both videos fail to show the Park, the full Apartment scene (sitting at desk), or the Rooftop. They both essentially loop between the street and a brief, confused interior shot. Video 1 is slightly better as the interior shot, though brief, is more recognizable as a room.\n\n**B. Video Quality & Dynamic Realism**\n* **Visual Fidelity & Sharpness:** Video 1 is crisp, with high-quality texture rendering on the hoodie and skin. Video 2 appears softer, with a slightly washed-out look and lower perceived resolution.\n* **Subject Identity Persistence:** Video 1 maintains a very consistent facial structure for the protagonist. Video 2's subject shifts slightly in facial geometry between frames.\n* **Transition Stability:** Both videos struggle with the transition to the interior scene. However, Video 1's cut, while abrupt, feels like a scene change. Video 2's transition is messy, with the subject seemingly morphing or clipping through the environment.\n\n**C. Narrative, Aesthetics & Cinematography**\n* **Cinematic Lighting & Color Grading:** Video 1 utilizes a strong teal and orange color palette that enhances the emotional mood. The lighting is dramatic and professional. Video 2 lacks this stylistic polish.\n* **Composition & Framing:** The framing in Video 1 is more deliberate, keeping the subject well-centered with a pleasing depth of field. Video 2's framing is functional but less artistic.\n* **Emotional Impact:** Due to the superior lighting and facial detail, Video 1 successfully conveys the requested mood of contemplation and resilience, whereas Video 2 feels emotionally neutral.\n\n**2. Personalized Category: Scene Transition Logic**\n* **Spatial Logic:** The prompt requires a shift from outdoors to indoors. Video 1 attempts this with a hard cut that, while jarring, separates the spaces. Video 2 attempts a morph that results in the subject appearing to walk *through* a window or wall in a physically impossible way.\n* **Scene Continuity:** Video 1 maintains the integrity of the subject's clothing and general appearance across the cut. Video 2 loses coherence during the transition, with the background and subject blending poorly.\n\n**Conclusion**\nVideo 1 is the clear winner due to its superior visual fidelity, cinematic lighting, and better preservation of the subject's identity. While both models failed to generate the complex four-location narrative sequence requested, Video 1 produced a high-quality, aesthetically pleasing clip of the first scene with a recognizable (though brief) second scene. Video 2 suffered from lower resolution, flatter lighting, and confusing spatial logic during the scene transition.\n\n```json\n{\"prompt\": \"[A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.]\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Expression\", \"reason_1\": \"Video 1 accurately renders the gray hoodie and captures the specific 'determination and vulnerability' in the facial expression.\", \"reason_2\": \"Video 2 renders the hoodie but the facial expression is generic and lacks the specific emotional nuance requested.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Atmosphere\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'neon lights casting colorful reflections' requirement with high dynamic range.\", \"reason_2\": \"Video 2 has a flatter lighting profile that misses the dramatic neon reflections described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Sequence Completeness\", \"reason_1\": \"Video 1 fails to show the Park, full Apartment, or Rooftop scenes, only showing the Street and a brief glimpse of a room.\", \"reason_2\": \"Video 2 also fails to show the required sequence, showing only the Street and a confused interior transition.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 captures the specific atmospheric details (neon reflections, expression) much better than Video 2, despite both failing the full narrative sequence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is sharp, detailed, and free of significant noise.\", \"reason_2\": \"The video appears softer, with a 'muddy' texture and lower perceived resolution.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The protagonist's face remains consistent and recognizable throughout the clip.\", \"reason_2\": \"The subject's facial features shift slightly, and the identity is less stable during movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Transition Stability\", \"reason_1\": \"The cut to the interior scene is abrupt but the subject remains solid.\", \"reason_2\": \"The transition is messy, with the subject appearing to clip through geometry or morph unnaturally.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates professional-grade sharpness and stability, whereas Video 2 suffers from softness and morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Color Grading\", \"reason_1\": \"Excellent use of color contrast (warm neon vs cool shadows) creates a strong cinematic look.\", \"reason_2\": \"Lighting is flat and lacks artistic grading, resulting in a less engaging visual.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is framed well with a shallow depth of field that separates them from the background effectively.\", \"reason_2\": \"Framing is acceptable but lacks the depth and focus control seen in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Impact\", \"reason_1\": \"The lighting and expression combine to effectively convey the requested mood of contemplation.\", \"reason_2\": \"The video feels more like a generic stock clip and lacks emotional weight.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 looks like a shot from a high-budget film, while Video 2 resembles a lower-quality generation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 significantly outperforms Video 2 in terms of visual fidelity, cinematic lighting, and subject consistency. While both videos fail to generate the complete four-location narrative sequence (missing the Park and Rooftop scenes entirely), Video 1 delivers a high-quality, aesthetically pleasing representation of the first scene (street) and a recognizable, albeit brief, glimpse of the second (interior). Video 2 suffers from lower resolution, flatter lighting, and confusing spatial logic during the scene transition.\", \"winner\": \"Video 1\"}\n```", "parsed_output": {"prompt": "[A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.]", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Expression", "reason_1": "Video 1 accurately renders the gray hoodie and captures the specific 'determination and vulnerability' in the facial expression.", "reason_2": "Video 2 renders the hoodie but the facial expression is generic and lacks the specific emotional nuance requested.", "score_1": 7, "score_2": 3}, {"name": "Environmental Atmosphere", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'neon lights casting colorful reflections' requirement with high dynamic range.", "reason_2": "Video 2 has a flatter lighting profile that misses the dramatic neon reflections described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Narrative Sequence Completeness", "reason_1": "Video 1 fails to show the Park, full Apartment, or Rooftop scenes, only showing the Street and a brief glimpse of a room.", "reason_2": "Video 2 also fails to show the required sequence, showing only the Street and a confused interior transition.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 captures the specific atmospheric details (neon reflections, expression) much better than Video 2, despite both failing the full narrative sequence.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is sharp, detailed, and free of significant noise.", "reason_2": "The video appears softer, with a 'muddy' texture and lower perceived resolution.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The protagonist's face remains consistent and recognizable throughout the clip.", "reason_2": "The subject's facial features shift slightly, and the identity is less stable during movement.", "score_1": 7, "score_2": 3}, {"name": "Transition Stability", "reason_1": "The cut to the interior scene is abrupt but the subject remains solid.", "reason_2": "The transition is messy, with the subject appearing to clip through geometry or morph unnaturally.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates professional-grade sharpness and stability, whereas Video 2 suffers from softness and morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Color Grading", "reason_1": "Excellent use of color contrast (warm neon vs cool shadows) creates a strong cinematic look.", "reason_2": "Lighting is flat and lacks artistic grading, resulting in a less engaging visual.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The subject is framed well with a shallow depth of field that separates them from the background effectively.", "reason_2": "Framing is acceptable but lacks the depth and focus control seen in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Emotional Impact", "reason_1": "The lighting and expression combine to effectively convey the requested mood of contemplation.", "reason_2": "The video feels more like a generic stock clip and lacks emotional weight.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 looks like a shot from a high-budget film, while Video 2 resembles a lower-quality generation.", "cat_winner": "Video 1"}], "reason": "Video 1 significantly outperforms Video 2 in terms of visual fidelity, cinematic lighting, and subject consistency. While both videos fail to generate the complete four-location narrative sequence (missing the Park and Rooftop scenes entirely), Video 1 delivers a high-quality, aesthetically pleasing representation of the first scene (street) and a recognizable, albeit brief, glimpse of the second (interior). Video 2 suffers from lower resolution, flatter lighting, and confusing spatial logic during the scene transition.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 64.0, "total_score_2": 26.0, "elapsed_sec": 94.912} +{"pair_id": "061_seed_42", "sample_index": 61, "seed": 42, "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Quantity & Group Dynamics\", \"reason_1\": \"Video 1 depicts a single individual, failing the 'group' requirement entirely.\", \"reason_2\": \"Video 2 also depicts a single individual, failing the 'group' requirement entirely.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Action Specificity (Stunts & Wheelies)\", \"reason_1\": \"The subject performs a wheelie, but the vehicle is a morphing, unrecognizable hybrid that lacks mechanical logic.\", \"reason_2\": \"The subject performs a clear, physically plausible wheelie on a recognizable bicycle.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Conclusion (Helmet Shot)\", \"reason_1\": \"The video ends with a helmet on the ground, but the transition is abrupt and the helmet appears to float or slide unnaturally.\", \"reason_2\": \"The video ends with a clear, grounded shot of the helmet on the curb, effectively serving as the requested narrative conclusion.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos fail the 'group' constraint, but Video 2 executes the specific action (wheelie) and the narrative conclusion (helmet shot) with greater clarity and logical consistency.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Vehicle)\", \"reason_1\": \"The vehicle is a severe hallucination, shifting between a unicycle, a hoverboard, and a bike with disappearing wheels.\", \"reason_2\": \"The bicycle maintains a consistent shape, size, and structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Physical Plausibility & Grounding\", \"reason_1\": \"The rider floats above the vehicle, and the vehicle slides sideways without proper friction or gravity.\", \"reason_2\": \"The rider's balance and the bike's interaction with the road surface follow basic laws of physics.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Background Stability (Traffic)\", \"reason_1\": \"Background cars are present but suffer from warping and inconsistent motion.\", \"reason_2\": \"Background cars are relatively stable, though they exhibit some minor AI-typical distortion.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is far superior in maintaining the structural integrity of the subject and vehicle. Video 1 is plagued by severe morphing and physics hallucinations.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is somewhat blurry and lacks definition in the subject's features.\", \"reason_2\": \"The video is sharper, with better definition of the rider and the environment.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Tracking & Framing\", \"reason_1\": \"The camera follows the subject, but the framing is awkward as the subject distorts.\", \"reason_2\": \"The camera tracks the wheelie smoothly, keeping the action centered and readable.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Lighting (Sun & Shadows)\", \"reason_1\": \"Successfully captures the bright sunlight and long shadows requested.\", \"reason_2\": \"Successfully captures the bright sunlight and long shadows requested.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 offers a cleaner, sharper image with better camera tracking, whereas Video 1 is blurry and visually confusing due to the artifacts.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly superior morphological stability and physical realism. While both videos fail to generate the requested 'group' of teenagers (showing only a single rider), Video 2 presents a coherent bicycle and rider performing a recognizable wheelie. Video 1 suffers from severe hallucinations, where the vehicle morphs between a unicycle and a hoverboard, and the rider's physics are floaty and unnatural. Video 2 also integrates the final 'helmet' shot more naturally into the scene.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Quantity & Group Dynamics", "reason_1": "Video 1 depicts a single individual, failing the 'group' requirement entirely.", "reason_2": "Video 2 also depicts a single individual, failing the 'group' requirement entirely.", "score_1": 5, "score_2": 5}, {"name": "Action Specificity (Stunts & Wheelies)", "reason_1": "The subject performs a wheelie, but the vehicle is a morphing, unrecognizable hybrid that lacks mechanical logic.", "reason_2": "The subject performs a clear, physically plausible wheelie on a recognizable bicycle.", "score_1": 3, "score_2": 7}, {"name": "Narrative Conclusion (Helmet Shot)", "reason_1": "The video ends with a helmet on the ground, but the transition is abrupt and the helmet appears to float or slide unnaturally.", "reason_2": "The video ends with a clear, grounded shot of the helmet on the curb, effectively serving as the requested narrative conclusion.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos fail the 'group' constraint, but Video 2 executes the specific action (wheelie) and the narrative conclusion (helmet shot) with greater clarity and logical consistency.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Vehicle)", "reason_1": "The vehicle is a severe hallucination, shifting between a unicycle, a hoverboard, and a bike with disappearing wheels.", "reason_2": "The bicycle maintains a consistent shape, size, and structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Physical Plausibility & Grounding", "reason_1": "The rider floats above the vehicle, and the vehicle slides sideways without proper friction or gravity.", "reason_2": "The rider's balance and the bike's interaction with the road surface follow basic laws of physics.", "score_1": 2, "score_2": 8}, {"name": "Background Stability (Traffic)", "reason_1": "Background cars are present but suffer from warping and inconsistent motion.", "reason_2": "Background cars are relatively stable, though they exhibit some minor AI-typical distortion.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is far superior in maintaining the structural integrity of the subject and vehicle. Video 1 is plagued by severe morphing and physics hallucinations.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Clarity & Sharpness", "reason_1": "The image is somewhat blurry and lacks definition in the subject's features.", "reason_2": "The video is sharper, with better definition of the rider and the environment.", "score_1": 3, "score_2": 7}, {"name": "Camera Tracking & Framing", "reason_1": "The camera follows the subject, but the framing is awkward as the subject distorts.", "reason_2": "The camera tracks the wheelie smoothly, keeping the action centered and readable.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Lighting (Sun & Shadows)", "reason_1": "Successfully captures the bright sunlight and long shadows requested.", "reason_2": "Successfully captures the bright sunlight and long shadows requested.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 offers a cleaner, sharper image with better camera tracking, whereas Video 1 is blurry and visually confusing due to the artifacts.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly superior morphological stability and physical realism. While both videos fail to generate the requested 'group' of teenagers (showing only a single rider), Video 2 presents a coherent bicycle and rider performing a recognizable wheelie. Video 1 suffers from severe hallucinations, where the vehicle morphs between a unicycle and a hoverboard, and the rider's physics are floaty and unnatural. Video 2 also integrates the final 'helmet' shot more naturally into the scene.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 65.552} +{"pair_id": "061_seed_310", "sample_index": 61, "seed": 310, "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_310_A group of teenagers clad in casual streetwear per.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_310_A group of teenagers clad in casual streetwear per.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_310_A group of teenagers clad in casual streetwear per.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_310_A group of teenagers clad in casual streetwear per.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Quantity & Group Dynamics\", \"reason_1\": \"Video 1 depicts a single rider, failing the explicit instruction for a 'group of teenagers'.\", \"reason_2\": \"Video 2 clearly depicts two distinct figures riding together, satisfying the 'group' requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Specificity (Stunts & Wheelies)\", \"reason_1\": \"The rider in Video 1 is mostly static or sliding; the 'wheelie' is barely perceptible and looks like a glitch.\", \"reason_2\": \"Video 2 shows a clear, sustained wheelie maneuver, aligning well with the 'daring stunts' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Conclusion (Helmet Shot)\", \"reason_1\": \"Video 1 successfully transitions to a close-up of a helmet on the ground at the end.\", \"reason_2\": \"Video 2 also successfully transitions to a close-up of a helmet on the ground at the end.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Highway Traffic)\", \"reason_1\": \"Video 1 correctly places the subject on a highway with cars in the background.\", \"reason_2\": \"Video 2 correctly places the subjects on a highway with cars in the background.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 correctly identifies and renders the 'group' aspect of the prompt, whereas Video 1 fails this basic constraint. Both videos successfully capture the environment and the concluding narrative element.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Form)\", \"reason_1\": \"The rider in Video 1 suffers from severe distortion, with limbs and the bike merging into an amorphous blob.\", \"reason_2\": \"The riders in Video 2 maintain their human shape and the bike's structure remains relatively consistent throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The movement in Video 1 feels floaty and disconnected from the road surface.\", \"reason_2\": \"Video 2 conveys a better sense of momentum and friction as the bike balances on two wheels.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is somewhat blurry and lacks definition in the background elements.\", \"reason_2\": \"The image is sharper, with better definition on the cars and the riders' clothing.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 maintains much higher structural integrity. Video 1's subject is a morphing blob that lacks anatomical logic, while Video 2's subjects remain recognizable as humans on bikes.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Flow (Action to Aftermath)\", \"reason_1\": \"The transition from the rider to the helmet is abrupt and feels like a hard cut rather than a narrative progression.\", \"reason_2\": \"The transition is handled similarly, but the preceding action is more coherent, making the narrative beat land slightly better.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmosphere & Lighting (Sun/Shadows)\", \"reason_1\": \"Video 1 captures the 'long shadows' and sunny atmosphere effectively.\", \"reason_2\": \"Video 2 also captures the lighting well, with distinct shadows cast by the riders and cars.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Camera Tracking & Framing\", \"reason_1\": \"The camera work is shaky and the framing often cuts off the subject awkwardly.\", \"reason_2\": \"The camera tracks the wheelie action smoothly, keeping the subjects well-framed against the traffic.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 provides a more coherent visual experience. The framing allows the viewer to see the stunt clearly, and the transition to the helmet feels like a logical conclusion to the scene.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it adheres to the core semantic requirement of depicting a 'group' of teenagers, whereas Video 1 only shows a single subject. Furthermore, Video 2 demonstrates significantly better morphological stability; the riders and the vehicle maintain a consistent shape, whereas the subject in Video 1 suffers from severe distortion and anatomical hallucinations. Video 2 also executes the specific 'wheelie' stunt more clearly before transitioning to the required ending shot.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Quantity & Group Dynamics", "reason_1": "Video 1 depicts a single rider, failing the explicit instruction for a 'group of teenagers'.", "reason_2": "Video 2 clearly depicts two distinct figures riding together, satisfying the 'group' requirement.", "score_1": 1, "score_2": 9}, {"name": "Action Specificity (Stunts & Wheelies)", "reason_1": "The rider in Video 1 is mostly static or sliding; the 'wheelie' is barely perceptible and looks like a glitch.", "reason_2": "Video 2 shows a clear, sustained wheelie maneuver, aligning well with the 'daring stunts' description.", "score_1": 3, "score_2": 7}, {"name": "Narrative Conclusion (Helmet Shot)", "reason_1": "Video 1 successfully transitions to a close-up of a helmet on the ground at the end.", "reason_2": "Video 2 also successfully transitions to a close-up of a helmet on the ground at the end.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Highway Traffic)", "reason_1": "Video 1 correctly places the subject on a highway with cars in the background.", "reason_2": "Video 2 correctly places the subjects on a highway with cars in the background.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 correctly identifies and renders the 'group' aspect of the prompt, whereas Video 1 fails this basic constraint. Both videos successfully capture the environment and the concluding narrative element.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Form)", "reason_1": "The rider in Video 1 suffers from severe distortion, with limbs and the bike merging into an amorphous blob.", "reason_2": "The riders in Video 2 maintain their human shape and the bike's structure remains relatively consistent throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Grounding", "reason_1": "The movement in Video 1 feels floaty and disconnected from the road surface.", "reason_2": "Video 2 conveys a better sense of momentum and friction as the bike balances on two wheels.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is somewhat blurry and lacks definition in the background elements.", "reason_2": "The image is sharper, with better definition on the cars and the riders' clothing.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 maintains much higher structural integrity. Video 1's subject is a morphing blob that lacks anatomical logic, while Video 2's subjects remain recognizable as humans on bikes.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Flow (Action to Aftermath)", "reason_1": "The transition from the rider to the helmet is abrupt and feels like a hard cut rather than a narrative progression.", "reason_2": "The transition is handled similarly, but the preceding action is more coherent, making the narrative beat land slightly better.", "score_1": 4, "score_2": 6}, {"name": "Atmosphere & Lighting (Sun/Shadows)", "reason_1": "Video 1 captures the 'long shadows' and sunny atmosphere effectively.", "reason_2": "Video 2 also captures the lighting well, with distinct shadows cast by the riders and cars.", "score_1": 5, "score_2": 5}, {"name": "Camera Tracking & Framing", "reason_1": "The camera work is shaky and the framing often cuts off the subject awkwardly.", "reason_2": "The camera tracks the wheelie action smoothly, keeping the subjects well-framed against the traffic.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 provides a more coherent visual experience. The framing allows the viewer to see the stunt clearly, and the transition to the helmet feels like a logical conclusion to the scene.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it adheres to the core semantic requirement of depicting a 'group' of teenagers, whereas Video 1 only shows a single subject. Furthermore, Video 2 demonstrates significantly better morphological stability; the riders and the vehicle maintain a consistent shape, whereas the subject in Video 1 suffers from severe distortion and anatomical hallucinations. Video 2 also executes the specific 'wheelie' stunt more clearly before transitioning to the required ending shot.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 36.0, "total_score_2": 64.0, "elapsed_sec": 61.781} +{"pair_id": "061_seed_930", "sample_index": 61, "seed": 930, "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Specificity (Stunts & Wheelies)\", \"reason_1\": \"Video 1 clearly depicts the subjects performing wheelies and balancing maneuvers on their bikes, directly aligning with the prompt's request for 'daring stunts' and 'wheelies'.\", \"reason_2\": \"Video 2 shows the subjects riding, but they are mostly just balancing or turning; the specific 'wheelie' action is absent or indistinguishable from general instability.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Highway & Traffic)\", \"reason_1\": \"Video 1 depicts a highway setting, but the cars in the background are somewhat generic and lack the 'bustling' density implied by the prompt.\", \"reason_2\": \"Video 2 features a more complex environment with a bus, multiple car types, and a bridge structure, better capturing the 'bustling highway' atmosphere.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Conclusion (Helmet Shot)\", \"reason_1\": \"Video 1 successfully transitions to a shot of a helmet on the ground, fulfilling the narrative conclusion requirement.\", \"reason_2\": \"Video 2 also successfully includes the helmet shot at the end, fulfilling the narrative conclusion requirement.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres more strictly to the specific action requirements of the prompt, particularly the 'wheelies' and the 'group' aspect, whereas Video 2's subjects are less distinct in their actions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The subjects in Video 1 maintain their human form and the structure of their bikes remains relatively consistent throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe hallucinations; the riders' bodies distort, limbs disappear, and the vehicles morph into the riders or the road.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Physics & Motion Plausibility\", \"reason_1\": \"The motion in Video 1, while slightly floaty, follows a logical trajectory for wheeled vehicles.\", \"reason_2\": \"The motion in Video 2 is chaotic and glitchy; the subjects appear to slide sideways or clip through objects rather than roll on wheels.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"Video 1 is sharp and clear with good lighting definition.\", \"reason_2\": \"Video 2 appears muddier with significant generation artifacts and blurring around the moving subjects.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains solid structural integrity, while Video 2 fails significantly with severe morphing and physics hallucinations.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Motion & Tracking\", \"reason_1\": \"The camera in Video 1 tracks the subjects smoothly, keeping them in frame and enhancing the sense of speed.\", \"reason_2\": \"The camera work in Video 2 is erratic and disjointed, struggling to keep the morphing subjects in a logical perspective.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Flow & Pacing\", \"reason_1\": \"Video 1 has a clear beginning (stunts) and end (helmet), creating a cohesive short clip.\", \"reason_2\": \"Video 2 feels like a random collection of glitchy frames without a clear narrative progression.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually coherent and pleasant to watch.\", \"reason_2\": \"The visual appeal is destroyed by the constant morphing and lack of object permanence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a watchable, coherent clip with smooth camera work, whereas Video 2 is visually confusing due to the technical glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior morphological stability and clearer adherence to the specific action prompts. While Video 2 attempts a more complex background, it suffers from severe subject distortion and physics hallucinations (morphing bodies and vehicles). Video 1 maintains the structural integrity of the riders and their bikes, successfully depicts the requested 'wheelies', and provides a smooth, coherent visual narrative that transitions logically to the concluding helmet shot.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Specificity (Stunts & Wheelies)", "reason_1": "Video 1 clearly depicts the subjects performing wheelies and balancing maneuvers on their bikes, directly aligning with the prompt's request for 'daring stunts' and 'wheelies'.", "reason_2": "Video 2 shows the subjects riding, but they are mostly just balancing or turning; the specific 'wheelie' action is absent or indistinguishable from general instability.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Highway & Traffic)", "reason_1": "Video 1 depicts a highway setting, but the cars in the background are somewhat generic and lack the 'bustling' density implied by the prompt.", "reason_2": "Video 2 features a more complex environment with a bus, multiple car types, and a bridge structure, better capturing the 'bustling highway' atmosphere.", "score_1": 4, "score_2": 6}, {"name": "Narrative Conclusion (Helmet Shot)", "reason_1": "Video 1 successfully transitions to a shot of a helmet on the ground, fulfilling the narrative conclusion requirement.", "reason_2": "Video 2 also successfully includes the helmet shot at the end, fulfilling the narrative conclusion requirement.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres more strictly to the specific action requirements of the prompt, particularly the 'wheelies' and the 'group' aspect, whereas Video 2's subjects are less distinct in their actions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "The subjects in Video 1 maintain their human form and the structure of their bikes remains relatively consistent throughout the clip.", "reason_2": "Video 2 suffers from severe hallucinations; the riders' bodies distort, limbs disappear, and the vehicles morph into the riders or the road.", "score_1": 8, "score_2": 2}, {"name": "Physics & Motion Plausibility", "reason_1": "The motion in Video 1, while slightly floaty, follows a logical trajectory for wheeled vehicles.", "reason_2": "The motion in Video 2 is chaotic and glitchy; the subjects appear to slide sideways or clip through objects rather than roll on wheels.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Clarity", "reason_1": "Video 1 is sharp and clear with good lighting definition.", "reason_2": "Video 2 appears muddier with significant generation artifacts and blurring around the moving subjects.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains solid structural integrity, while Video 2 fails significantly with severe morphing and physics hallucinations.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Motion & Tracking", "reason_1": "The camera in Video 1 tracks the subjects smoothly, keeping them in frame and enhancing the sense of speed.", "reason_2": "The camera work in Video 2 is erratic and disjointed, struggling to keep the morphing subjects in a logical perspective.", "score_1": 7, "score_2": 3}, {"name": "Narrative Flow & Pacing", "reason_1": "Video 1 has a clear beginning (stunts) and end (helmet), creating a cohesive short clip.", "reason_2": "Video 2 feels like a random collection of glitchy frames without a clear narrative progression.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually coherent and pleasant to watch.", "reason_2": "The visual appeal is destroyed by the constant morphing and lack of object permanence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a watchable, coherent clip with smooth camera work, whereas Video 2 is visually confusing due to the technical glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior morphological stability and clearer adherence to the specific action prompts. While Video 2 attempts a more complex background, it suffers from severe subject distortion and physics hallucinations (morphing bodies and vehicles). Video 1 maintains the structural integrity of the riders and their bikes, successfully depicts the requested 'wheelies', and provides a smooth, coherent visual narrative that transitions logically to the concluding helmet shot.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 61.0, "total_score_2": 29.0, "elapsed_sec": 60.563} +{"pair_id": "062_seed_42", "sample_index": 62, "seed": 42, "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Spatial Logic\", \"reason_1\": \"Video 1 clearly depicts a group of women and men around a table, maintaining a logical spatial arrangement that matches the 'conference' setting.\", \"reason_2\": \"Video 2 presents a chaotic arrangement where subjects blend into one another and the background, failing to establish a clear 'group' dynamic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Fidelity (Frustration/Determination)\", \"reason_1\": \"The subjects in Video 1 display readable expressions of concern and seriousness, aligning well with the prompt's request for 'determination and frustration'.\", \"reason_2\": \"The expressions in Video 2 are heavily distorted by artifacts, resulting in unnatural grimaces rather than recognizable human emotions.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Modern Office)\", \"reason_1\": \"Video 1 renders a convincing modern office background with depth and appropriate lighting.\", \"reason_2\": \"The background in Video 2 is washed out and lacks the distinct 'modern decor' details requested.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately establishes the office setting and the specific group dynamic requested. Video 2 struggles to maintain the structural integrity of the subjects, making the semantic elements difficult to discern.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Video 1 maintains consistent facial features for the main subjects throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe facial collapse; eyes drift, mouths distort, and features melt, destroying any sense of realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The subjects in Video 1 hold their physical form solidly over time.\", \"reason_2\": \"Video 2 suffers from constant morphing, where hair, clothing, and limbs shift and warp unnaturally between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Artifact Control\", \"reason_1\": \"The image is sharp and relatively free of noise.\", \"reason_2\": \"The video is plagued by visual noise and blurring, particularly around the moving subjects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains high stability, whereas Video 2 fails fundamentally with severe facial hallucinations and morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced composition that focuses attention on the interaction at the table.\", \"reason_2\": \"The framing in Video 2 is awkward, often cutting off heads or placing subjects in unappealing angles.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Mood (Tension/Solidarity)\", \"reason_1\": \"The lighting and body language in Video 1 successfully evoke the 'poignant narrative' and tension described.\", \"reason_2\": \"The mood is lost entirely due to the distracting and grotesque visual errors.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 looks like a coherent scene from a film or TV show.\", \"reason_2\": \"Video 2 is visually unpleasant due to the high frequency of generation errors.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 employs a professional cinematic style that supports the narrative of a tense office meeting. Video 2 lacks aesthetic coherence due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual stability and anatomical consistency. It successfully renders a coherent office environment with distinct characters who maintain their facial features and identities throughout the clip. Video 2 suffers from severe morphological instability, with faces melting, eyes misaligning, and significant temporal flickering that completely breaks the realism and narrative immersion.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Spatial Logic", "reason_1": "Video 1 clearly depicts a group of women and men around a table, maintaining a logical spatial arrangement that matches the 'conference' setting.", "reason_2": "Video 2 presents a chaotic arrangement where subjects blend into one another and the background, failing to establish a clear 'group' dynamic.", "score_1": 8, "score_2": 2}, {"name": "Expression Fidelity (Frustration/Determination)", "reason_1": "The subjects in Video 1 display readable expressions of concern and seriousness, aligning well with the prompt's request for 'determination and frustration'.", "reason_2": "The expressions in Video 2 are heavily distorted by artifacts, resulting in unnatural grimaces rather than recognizable human emotions.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Modern Office)", "reason_1": "Video 1 renders a convincing modern office background with depth and appropriate lighting.", "reason_2": "The background in Video 2 is washed out and lacks the distinct 'modern decor' details requested.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately establishes the office setting and the specific group dynamic requested. Video 2 struggles to maintain the structural integrity of the subjects, making the semantic elements difficult to discern.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Video 1 maintains consistent facial features for the main subjects throughout the clip.", "reason_2": "Video 2 exhibits severe facial collapse; eyes drift, mouths distort, and features melt, destroying any sense of realism.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The subjects in Video 1 hold their physical form solidly over time.", "reason_2": "Video 2 suffers from constant morphing, where hair, clothing, and limbs shift and warp unnaturally between frames.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Artifact Control", "reason_1": "The image is sharp and relatively free of noise.", "reason_2": "The video is plagued by visual noise and blurring, particularly around the moving subjects.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains high stability, whereas Video 2 fails fundamentally with severe facial hallucinations and morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a balanced composition that focuses attention on the interaction at the table.", "reason_2": "The framing in Video 2 is awkward, often cutting off heads or placing subjects in unappealing angles.", "score_1": 7, "score_2": 3}, {"name": "Narrative Mood (Tension/Solidarity)", "reason_1": "The lighting and body language in Video 1 successfully evoke the 'poignant narrative' and tension described.", "reason_2": "The mood is lost entirely due to the distracting and grotesque visual errors.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 looks like a coherent scene from a film or TV show.", "reason_2": "Video 2 is visually unpleasant due to the high frequency of generation errors.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 employs a professional cinematic style that supports the narrative of a tense office meeting. Video 2 lacks aesthetic coherence due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual stability and anatomical consistency. It successfully renders a coherent office environment with distinct characters who maintain their facial features and identities throughout the clip. Video 2 suffers from severe morphological instability, with faces melting, eyes misaligning, and significant temporal flickering that completely breaks the realism and narrative immersion.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 55.906} +{"pair_id": "062_seed_310", "sample_index": 62, "seed": 310, "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_310_In a bustling office a group of female employees d.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_310_In a bustling office a group of female employees d.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_310_In a bustling office a group of female employees d.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_310_In a bustling office a group of female employees d.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Spatial Logic\", \"reason_1\": \"Video 1 correctly places the group around a conference table as requested.\", \"reason_2\": \"Video 2 also correctly depicts the group arrangement around the table.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Expression Fidelity (Frustration/Determination)\", \"reason_1\": \"The expressions in Video 1 are heavily distorted and grotesque, failing to convey the intended human emotion.\", \"reason_2\": \"Video 2 clearly depicts the requested mix of frustration and seriousness on the female subjects' faces.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Zoom Execution)\", \"reason_1\": \"Video 1 attempts the requested zoom-in, but the motion causes the subjects to warp and melt.\", \"reason_2\": \"Video 2 executes a smooth, controlled zoom that focuses attention on the subjects without breaking the image integrity.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately captures the specific emotional cues (frustration, determination) and the interaction dynamics requested. Video 1 fails to convey the correct expressions due to severe distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Video 1 exhibits severe facial hallucinations; eyes and mouths are misshapen and terrifyingly unrealistic.\", \"reason_2\": \"Video 2 maintains consistent, realistic facial features for all characters throughout the zoom.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The subjects in Video 1 constantly morph and shift shape, lacking physical solidity.\", \"reason_2\": \"Video 2 shows solid temporal coherence with no noticeable warping of objects or people.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Texture\", \"reason_1\": \"The texture quality in Video 1 is muddy and inconsistent.\", \"reason_2\": \"Video 2 has a sharp, high-resolution look with realistic lighting and textures.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"This is the deciding category. Video 1 has catastrophic failure in facial rendering, while Video 2 maintains high realism and stability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Tone (Poignant vs. Uncanny)\", \"reason_1\": \"The severe artifacts in Video 1 create a horror-like atmosphere, completely missing the 'poignant narrative' requirement.\", \"reason_2\": \"Video 2 successfully establishes a serious, dramatic corporate atmosphere suitable for the story.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Character Interaction & Body Language\", \"reason_1\": \"The body language in Video 1 is stiff and unnatural due to the morphing bodies.\", \"reason_2\": \"Video 2 captures the 'knowing glances' and the tension between the female employees and the manager effectively.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually unpleasant due to the grotesque distortions.\", \"reason_2\": \"Video 2 is aesthetically pleasing, resembling a high-quality stock video or film clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully creates the 'poignant narrative' requested, whereas Video 1 creates an unintentional horror aesthetic due to artifacts.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity and stability. While Video 1 attempts the scene, it suffers from severe facial distortions and morphological instability that turn the intended 'poignant narrative' into unintentional body horror. Video 2 maintains consistent character identities, realistic expressions, and smooth camera movement, effectively conveying the requested mood of frustration and professional tension.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Spatial Logic", "reason_1": "Video 1 correctly places the group around a conference table as requested.", "reason_2": "Video 2 also correctly depicts the group arrangement around the table.", "score_1": 5, "score_2": 5}, {"name": "Expression Fidelity (Frustration/Determination)", "reason_1": "The expressions in Video 1 are heavily distorted and grotesque, failing to convey the intended human emotion.", "reason_2": "Video 2 clearly depicts the requested mix of frustration and seriousness on the female subjects' faces.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Zoom Execution)", "reason_1": "Video 1 attempts the requested zoom-in, but the motion causes the subjects to warp and melt.", "reason_2": "Video 2 executes a smooth, controlled zoom that focuses attention on the subjects without breaking the image integrity.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately captures the specific emotional cues (frustration, determination) and the interaction dynamics requested. Video 1 fails to convey the correct expressions due to severe distortion.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Video 1 exhibits severe facial hallucinations; eyes and mouths are misshapen and terrifyingly unrealistic.", "reason_2": "Video 2 maintains consistent, realistic facial features for all characters throughout the zoom.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "The subjects in Video 1 constantly morph and shift shape, lacking physical solidity.", "reason_2": "Video 2 shows solid temporal coherence with no noticeable warping of objects or people.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Texture", "reason_1": "The texture quality in Video 1 is muddy and inconsistent.", "reason_2": "Video 2 has a sharp, high-resolution look with realistic lighting and textures.", "score_1": 3, "score_2": 7}], "cat_reason": "This is the deciding category. Video 1 has catastrophic failure in facial rendering, while Video 2 maintains high realism and stability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Tone (Poignant vs. Uncanny)", "reason_1": "The severe artifacts in Video 1 create a horror-like atmosphere, completely missing the 'poignant narrative' requirement.", "reason_2": "Video 2 successfully establishes a serious, dramatic corporate atmosphere suitable for the story.", "score_1": 1, "score_2": 9}, {"name": "Character Interaction & Body Language", "reason_1": "The body language in Video 1 is stiff and unnatural due to the morphing bodies.", "reason_2": "Video 2 captures the 'knowing glances' and the tension between the female employees and the manager effectively.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually unpleasant due to the grotesque distortions.", "reason_2": "Video 2 is aesthetically pleasing, resembling a high-quality stock video or film clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully creates the 'poignant narrative' requested, whereas Video 1 creates an unintentional horror aesthetic due to artifacts.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity and stability. While Video 1 attempts the scene, it suffers from severe facial distortions and morphological instability that turn the intended 'poignant narrative' into unintentional body horror. Video 2 maintains consistent character identities, realistic expressions, and smooth camera movement, effectively conveying the requested mood of frustration and professional tension.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 21.0, "total_score_2": 69.0, "elapsed_sec": 52.56} +{"pair_id": "062_seed_930", "sample_index": 62, "seed": 930, "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Spatial Logic\", \"reason_1\": \"Video 1 clearly distinguishes between the group of women and the male colleagues, placing them in a way that suggests the requested narrative dynamic.\", \"reason_2\": \"Video 2 presents a generic, cluttered meeting arrangement where the distinction between the 'female group' and 'male colleagues' is lost in a chaotic mix of subjects.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Fidelity (Frustration/Determination)\", \"reason_1\": \"The subjects in Video 1 display readable expressions of concern and seriousness, aligning well with the prompt's request for frustration and determination.\", \"reason_2\": \"The expressions in Video 2 are heavily distorted and grotesque due to low-quality generation, making it impossible to read any intended human emotion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Modern Office)\", \"reason_1\": \"Video 1 depicts a clean, modern office with glass partitions and professional lighting, fitting the 'modern decor' description.\", \"reason_2\": \"Video 2 shows a generic room with windows, but the lighting is flat and the environment lacks the polished 'modern' aesthetic requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately establishes the specific group dynamics and emotional context requested, whereas Video 2 fails to convey the required expressions due to generation errors.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Video 1 maintains consistent, realistic facial features for all characters throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'melting face' artifacts; eyes are misaligned, features slide off faces, and identities are completely unstable.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with good texture details on clothing and skin.\", \"reason_2\": \"The video is blurry, low-resolution, and lacks texture definition, resembling a low-quality early AI generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects and people maintain their solid forms during movement.\", \"reason_2\": \"Subjects in Video 2 warp and morph unnaturally as the camera moves, breaking physical plausibility.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This is the deciding category. Video 1 is high-definition and stable, while Video 2 exhibits catastrophic failure in facial rendering and temporal coherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a professional angle that captures the group dynamic effectively, with depth of field that separates subjects from the background.\", \"reason_2\": \"Video 2 uses a flat, uninspired angle that feels cluttered and lacks cinematic depth.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Mood (Tension/Solidarity)\", \"reason_1\": \"The lighting and acting in Video 1 successfully evoke the 'poignant narrative' and tension described in the prompt.\", \"reason_2\": \"The mood in Video 2 is unintentionally horrific due to the facial distortions, completely failing to convey the intended narrative of gender bias.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is smooth and intentional, adding to the scene's realism.\", \"reason_2\": \"The camera motion is jittery and contributes to the warping of the subjects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 employs cinematic lighting and composition to tell the story, while Video 2 lacks aesthetic direction.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in technical execution, narrative clarity, and visual fidelity. It successfully renders a coherent office environment with distinct character groups and readable facial expressions that match the prompt's emotional requirements. Video 2 suffers from severe morphological instability, with significant facial distortion and low resolution that renders the narrative unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Spatial Logic", "reason_1": "Video 1 clearly distinguishes between the group of women and the male colleagues, placing them in a way that suggests the requested narrative dynamic.", "reason_2": "Video 2 presents a generic, cluttered meeting arrangement where the distinction between the 'female group' and 'male colleagues' is lost in a chaotic mix of subjects.", "score_1": 8, "score_2": 2}, {"name": "Expression Fidelity (Frustration/Determination)", "reason_1": "The subjects in Video 1 display readable expressions of concern and seriousness, aligning well with the prompt's request for frustration and determination.", "reason_2": "The expressions in Video 2 are heavily distorted and grotesque due to low-quality generation, making it impossible to read any intended human emotion.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Modern Office)", "reason_1": "Video 1 depicts a clean, modern office with glass partitions and professional lighting, fitting the 'modern decor' description.", "reason_2": "Video 2 shows a generic room with windows, but the lighting is flat and the environment lacks the polished 'modern' aesthetic requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately establishes the specific group dynamics and emotional context requested, whereas Video 2 fails to convey the required expressions due to generation errors.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Video 1 maintains consistent, realistic facial features for all characters throughout the clip.", "reason_2": "Video 2 suffers from severe 'melting face' artifacts; eyes are misaligned, features slide off faces, and identities are completely unstable.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with good texture details on clothing and skin.", "reason_2": "The video is blurry, low-resolution, and lacks texture definition, resembling a low-quality early AI generation.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Objects and people maintain their solid forms during movement.", "reason_2": "Subjects in Video 2 warp and morph unnaturally as the camera moves, breaking physical plausibility.", "score_1": 9, "score_2": 1}], "cat_reason": "This is the deciding category. Video 1 is high-definition and stable, while Video 2 exhibits catastrophic failure in facial rendering and temporal coherence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a professional angle that captures the group dynamic effectively, with depth of field that separates subjects from the background.", "reason_2": "Video 2 uses a flat, uninspired angle that feels cluttered and lacks cinematic depth.", "score_1": 8, "score_2": 2}, {"name": "Narrative Mood (Tension/Solidarity)", "reason_1": "The lighting and acting in Video 1 successfully evoke the 'poignant narrative' and tension described in the prompt.", "reason_2": "The mood in Video 2 is unintentionally horrific due to the facial distortions, completely failing to convey the intended narrative of gender bias.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is smooth and intentional, adding to the scene's realism.", "reason_2": "The camera motion is jittery and contributes to the warping of the subjects.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 employs cinematic lighting and composition to tell the story, while Video 2 lacks aesthetic direction.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in technical execution, narrative clarity, and visual fidelity. It successfully renders a coherent office environment with distinct character groups and readable facial expressions that match the prompt's emotional requirements. Video 2 suffers from severe morphological instability, with significant facial distortion and low resolution that renders the narrative unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 55.309} +{"pair_id": "063_seed_42", "sample_index": 63, "seed": 42, "prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_42_In a dimly lit laboratory filled with advanced equ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_42_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_42_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_42_In a dimly lit laboratory filled with advanced equ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Tone)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'clandestine' atmosphere with dramatic shadows and cool tones.\", \"reason_2\": \"Video 2 presents a brightly lit, sterile environment that resembles a standard hospital, completely missing the 'dimly lit' and 'tense' requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Expression (Moral Conflict)\", \"reason_1\": \"The scientist in Video 1 displays a furrowed brow and intense gaze, effectively conveying the requested 'determination and moral conflict'.\", \"reason_2\": \"The subject in Video 2 has a neutral, almost blank expression that fails to convey any specific emotion or internal conflict.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Specificity (Recording Data)\", \"reason_1\": \"Video 1 clearly shows the scientist actively writing on a clipboard, aligning with 'meticulously records data'.\", \"reason_2\": \"Video 2 shows the scientist holding a folder, but the action is static and lacks the active engagement of recording.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Object Detail (Files & Warnings)\", \"reason_1\": \"Video 1 includes a clipboard with visible red markings, aligning with the 'files marked with red warnings'.\", \"reason_2\": \"Video 2 shows a generic folder with no distinct warning markings or specific details.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 adheres strictly to the atmospheric and emotional descriptors in the prompt, whereas Video 2 ignores the lighting and mood instructions entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 features high-quality skin textures, realistic fabric folds, and sharp details on the equipment.\", \"reason_2\": \"Video 2 has a smoother, more artificial 'plastic' look common in lower-tier generations, lacking fine texture detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Realism & Depth\", \"reason_1\": \"Video 1 utilizes complex lighting with realistic falloff and shadows, creating genuine depth.\", \"reason_2\": \"Video 2 uses flat, even lighting that washes out the scene and reduces the sense of three-dimensional space.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The scientist's facial features remain consistent throughout the clip.\", \"reason_2\": \"The scientist's face is consistent, though the lack of movement makes this easier to achieve.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering and lighting complexity, creating a more photorealistic image compared to the flatter look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses an over-the-shoulder shot and depth of field to focus attention and create a cinematic look.\", \"reason_2\": \"Video 2 uses a flat, medium shot that feels like stock footage with no artistic framing intent.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Mood (Tension)\", \"reason_1\": \"The color grading and shadows in Video 1 immediately establish the 'tense' and 'unauthorized' narrative mood.\", \"reason_2\": \"The bright, clinical look of Video 2 conveys a routine medical procedure, completely failing to suggest a narrative of ethical dilemma.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement Intent\", \"reason_1\": \"Video 1 has subtle camera movement that adds dynamism, though it doesn't perfectly execute the specific 'pan to reveal' requested.\", \"reason_2\": \"Video 2 is largely static, lacking the dynamic camera work implied by the prompt's description of panning and zooming.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 employs cinematic techniques like depth of field and dramatic framing to tell a story, while Video 2 lacks narrative tension.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the critical atmospheric and emotional requirements of the prompt. It delivers the 'dimly lit,' 'clandestine,' and 'tense' mood with cinematic lighting and a convincing portrayal of the scientist's 'moral conflict.' Video 2, while stable, fails to adhere to the lighting and mood constraints, presenting a bright, sterile, and emotionally neutral scene that contradicts the narrative of an unauthorized, tense experiment.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Tone)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'clandestine' atmosphere with dramatic shadows and cool tones.", "reason_2": "Video 2 presents a brightly lit, sterile environment that resembles a standard hospital, completely missing the 'dimly lit' and 'tense' requirement.", "score_1": 9, "score_2": 1}, {"name": "Subject Expression (Moral Conflict)", "reason_1": "The scientist in Video 1 displays a furrowed brow and intense gaze, effectively conveying the requested 'determination and moral conflict'.", "reason_2": "The subject in Video 2 has a neutral, almost blank expression that fails to convey any specific emotion or internal conflict.", "score_1": 8, "score_2": 2}, {"name": "Action Specificity (Recording Data)", "reason_1": "Video 1 clearly shows the scientist actively writing on a clipboard, aligning with 'meticulously records data'.", "reason_2": "Video 2 shows the scientist holding a folder, but the action is static and lacks the active engagement of recording.", "score_1": 7, "score_2": 3}, {"name": "Object Detail (Files & Warnings)", "reason_1": "Video 1 includes a clipboard with visible red markings, aligning with the 'files marked with red warnings'.", "reason_2": "Video 2 shows a generic folder with no distinct warning markings or specific details.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 adheres strictly to the atmospheric and emotional descriptors in the prompt, whereas Video 2 ignores the lighting and mood instructions entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture", "reason_1": "Video 1 features high-quality skin textures, realistic fabric folds, and sharp details on the equipment.", "reason_2": "Video 2 has a smoother, more artificial 'plastic' look common in lower-tier generations, lacking fine texture detail.", "score_1": 8, "score_2": 2}, {"name": "Lighting Realism & Depth", "reason_1": "Video 1 utilizes complex lighting with realistic falloff and shadows, creating genuine depth.", "reason_2": "Video 2 uses flat, even lighting that washes out the scene and reduces the sense of three-dimensional space.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The scientist's facial features remain consistent throughout the clip.", "reason_2": "The scientist's face is consistent, though the lack of movement makes this easier to achieve.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 demonstrates superior texture rendering and lighting complexity, creating a more photorealistic image compared to the flatter look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses an over-the-shoulder shot and depth of field to focus attention and create a cinematic look.", "reason_2": "Video 2 uses a flat, medium shot that feels like stock footage with no artistic framing intent.", "score_1": 8, "score_2": 2}, {"name": "Narrative Mood (Tension)", "reason_1": "The color grading and shadows in Video 1 immediately establish the 'tense' and 'unauthorized' narrative mood.", "reason_2": "The bright, clinical look of Video 2 conveys a routine medical procedure, completely failing to suggest a narrative of ethical dilemma.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement Intent", "reason_1": "Video 1 has subtle camera movement that adds dynamism, though it doesn't perfectly execute the specific 'pan to reveal' requested.", "reason_2": "Video 2 is largely static, lacking the dynamic camera work implied by the prompt's description of panning and zooming.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 employs cinematic techniques like depth of field and dramatic framing to tell a story, while Video 2 lacks narrative tension.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the critical atmospheric and emotional requirements of the prompt. It delivers the 'dimly lit,' 'clandestine,' and 'tense' mood with cinematic lighting and a convincing portrayal of the scientist's 'moral conflict.' Video 2, while stable, fails to adhere to the lighting and mood constraints, presenting a bright, sterile, and emotionally neutral scene that contradicts the narrative of an unauthorized, tense experiment.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 76.0, "total_score_2": 24.0, "elapsed_sec": 63.264} +{"pair_id": "063_seed_310", "sample_index": 63, "seed": 310, "prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_310_In a dimly lit laboratory filled with advanced equ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_310_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_310_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_310_In a dimly lit laboratory filled with advanced equ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Tone)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'clandestine' atmosphere requested.\", \"reason_2\": \"Video 2 completely ignores the lighting instruction, presenting a bright, sterile, and clinical environment that contradicts the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Key Object Specificity (Red Warning Files)\", \"reason_1\": \"Video 1 clearly renders a document with a prominent red warning symbol, a specific detail requested in the prompt.\", \"reason_2\": \"Video 2 shows a generic clipboard with illegible text and no distinct 'red warning' markings.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Expression (Moral Conflict)\", \"reason_1\": \"The scientist in Video 1 displays a furrowed brow and intense gaze, effectively conveying the requested 'determination and moral conflict'.\", \"reason_2\": \"The scientist in Video 2 has a neutral, focused expression typical of stock footage, lacking the emotional complexity described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Recording Data)\", \"reason_1\": \"Video 1 shows the scientist holding the file and looking at it, but the active writing/recording motion is less prominent.\", \"reason_2\": \"Video 2 explicitly shows the hand actively writing on the clipboard, aligning slightly better with the specific action of 'meticulously records data'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 adheres strictly to the descriptive adjectives in the prompt (dimly lit, red warnings, moral conflict), whereas Video 2 ignores the lighting and mood instructions entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 has a softer, slightly grainier look, likely a stylistic choice for the mood, but technically less sharp.\", \"reason_2\": \"Video 2 is crisp, clean, and high-resolution, resembling high-quality stock footage.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The scientist's facial features remain consistent throughout the clip.\", \"reason_2\": \"The scientist's identity is stable and consistent.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera movement and subject motion are fluid and natural.\", \"reason_2\": \"The writing motion and camera pan are smooth and realistic.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 edges out Video 1 in terms of raw image sharpness and clarity, although Video 1's softer look is stylistically appropriate.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Mood & Tension\", \"reason_1\": \"Video 1 successfully evokes a sense of tension and secrecy through lighting and color grading.\", \"reason_2\": \"Video 2 lacks any narrative tension; it feels like a standard medical procedure demonstration.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement (Pan & Reveal)\", \"reason_1\": \"Video 1 utilizes an over-the-shoulder shot that effectively connects the scientist to the subject, enhancing the narrative link.\", \"reason_2\": \"Video 2 uses a standard pan that feels functional rather than narrative-driven.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Integrity (Clandestine Nature)\", \"reason_1\": \"The visual elements in Video 1 (shadows, warning sign, intense look) combine to tell the story of an 'unauthorized experiment'.\", \"reason_2\": \"Video 2 fails to convey any narrative beyond a routine medical check-up.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 excels in creating a cinematic narrative that matches the prompt's thriller-like tone, whereas Video 2 feels like generic medical b-roll.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific atmospheric and narrative requirements of the prompt. It correctly renders the 'dimly lit' environment, the 'red warnings' on the file, and the scientist's expression of 'moral conflict.' Video 2, while high quality, fails significantly on semantic alignment by presenting a bright, sterile, and clinical environment that contradicts the requested 'clandestine' and 'tense' mood.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Tone)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'clandestine' atmosphere requested.", "reason_2": "Video 2 completely ignores the lighting instruction, presenting a bright, sterile, and clinical environment that contradicts the prompt.", "score_1": 9, "score_2": 1}, {"name": "Key Object Specificity (Red Warning Files)", "reason_1": "Video 1 clearly renders a document with a prominent red warning symbol, a specific detail requested in the prompt.", "reason_2": "Video 2 shows a generic clipboard with illegible text and no distinct 'red warning' markings.", "score_1": 9, "score_2": 1}, {"name": "Subject Expression (Moral Conflict)", "reason_1": "The scientist in Video 1 displays a furrowed brow and intense gaze, effectively conveying the requested 'determination and moral conflict'.", "reason_2": "The scientist in Video 2 has a neutral, focused expression typical of stock footage, lacking the emotional complexity described.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Recording Data)", "reason_1": "Video 1 shows the scientist holding the file and looking at it, but the active writing/recording motion is less prominent.", "reason_2": "Video 2 explicitly shows the hand actively writing on the clipboard, aligning slightly better with the specific action of 'meticulously records data'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 adheres strictly to the descriptive adjectives in the prompt (dimly lit, red warnings, moral conflict), whereas Video 2 ignores the lighting and mood instructions entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 has a softer, slightly grainier look, likely a stylistic choice for the mood, but technically less sharp.", "reason_2": "Video 2 is crisp, clean, and high-resolution, resembling high-quality stock footage.", "score_1": 4, "score_2": 6}, {"name": "Subject Identity Persistence", "reason_1": "The scientist's facial features remain consistent throughout the clip.", "reason_2": "The scientist's identity is stable and consistent.", "score_1": 5, "score_2": 5}, {"name": "Motion Smoothness", "reason_1": "The camera movement and subject motion are fluid and natural.", "reason_2": "The writing motion and camera pan are smooth and realistic.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 edges out Video 1 in terms of raw image sharpness and clarity, although Video 1's softer look is stylistically appropriate.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Mood & Tension", "reason_1": "Video 1 successfully evokes a sense of tension and secrecy through lighting and color grading.", "reason_2": "Video 2 lacks any narrative tension; it feels like a standard medical procedure demonstration.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement (Pan & Reveal)", "reason_1": "Video 1 utilizes an over-the-shoulder shot that effectively connects the scientist to the subject, enhancing the narrative link.", "reason_2": "Video 2 uses a standard pan that feels functional rather than narrative-driven.", "score_1": 7, "score_2": 3}, {"name": "Narrative Integrity (Clandestine Nature)", "reason_1": "The visual elements in Video 1 (shadows, warning sign, intense look) combine to tell the story of an 'unauthorized experiment'.", "reason_2": "Video 2 fails to convey any narrative beyond a routine medical check-up.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 excels in creating a cinematic narrative that matches the prompt's thriller-like tone, whereas Video 2 feels like generic medical b-roll.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific atmospheric and narrative requirements of the prompt. It correctly renders the 'dimly lit' environment, the 'red warnings' on the file, and the scientist's expression of 'moral conflict.' Video 2, while high quality, fails significantly on semantic alignment by presenting a bright, sterile, and clinical environment that contradicts the requested 'clandestine' and 'tense' mood.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 31.0, "elapsed_sec": 63.147} +{"pair_id": "063_seed_930", "sample_index": 63, "seed": 930, "prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Object Completeness\", \"reason_1\": \"Video 1 clearly renders the scientist, the lab coat, the clipboard, and the unconscious subject in the background.\", \"reason_2\": \"Video 2 renders the scientist and equipment, but the 'unconscious subject' is a distorted, unrecognizable blob of flesh tones that fails to look human.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Recording Data)\", \"reason_1\": \"The scientist in Video 1 is clearly holding a pen and writing on a clipboard, matching the 'meticulously records data' instruction.\", \"reason_2\": \"The scientist in Video 2 holds a pen but the hand and clipboard interaction is vague and lacks the specific 'recording' motion.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Lab & Monitors)\", \"reason_1\": \"Video 1 depicts a believable medical/lab environment with monitors and equipment that look functional.\", \"reason_2\": \"Video 2's environment is cluttered and the equipment looks like melted plastic rather than advanced machinery.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts all key semantic elements: the scientist, the act of recording data, and the unconscious subject. Video 2 fails to render the unconscious subject recognizably.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Human Subjects)\", \"reason_1\": \"The human subjects in Video 1 maintain realistic facial structure and body proportions throughout the clip.\", \"reason_2\": \"The subject in the background of Video 2 is a severe hallucination, appearing as a melted, multi-limbed mass with no coherent anatomy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects and people in Video 1 remain solid and consistent in shape.\", \"reason_2\": \"Video 2 exhibits significant warping and morphing, particularly in the background elements and the scientist's hands.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Textures of the lab coat, skin, and paper are sharp and realistic.\", \"reason_2\": \"The image is softer, with a 'plastic' AI sheen and blurred textures on the equipment.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high realism and anatomical correctness. Video 2 collapses completely in terms of biological plausibility.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Clarity\", \"reason_1\": \"The scene clearly conveys a scientist working on a patient, aligning with the narrative of a clandestine experiment.\", \"reason_2\": \"The narrative is lost because the viewer is distracted by the grotesque distortion of the patient, making it look like a horror glitch rather than a story.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Tension vs. Horror)\", \"reason_1\": \"Video 1 captures the 'dimly lit' and serious tone requested.\", \"reason_2\": \"Video 2 creates unintentional body horror due to the generation errors, which is not the intended 'tense' atmosphere.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing balances the scientist in the foreground and the subject in the background effectively.\", \"reason_2\": \"The composition is messy, with the background subject blending into the equipment in a confusing way.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully establishes the tense, clinical atmosphere requested. Video 2's visual errors break the immersion and shift the tone to unintentional horror.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior anatomical consistency and semantic accuracy. It successfully renders a realistic human subject in the background and a coherent scientist in the foreground performing the requested action (recording data). Video 2 suffers from severe morphological hallucinations, particularly regarding the unconscious subject, which appears as a distorted, unrecognizable mass, destroying the realism and narrative intent.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Object Completeness", "reason_1": "Video 1 clearly renders the scientist, the lab coat, the clipboard, and the unconscious subject in the background.", "reason_2": "Video 2 renders the scientist and equipment, but the 'unconscious subject' is a distorted, unrecognizable blob of flesh tones that fails to look human.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Recording Data)", "reason_1": "The scientist in Video 1 is clearly holding a pen and writing on a clipboard, matching the 'meticulously records data' instruction.", "reason_2": "The scientist in Video 2 holds a pen but the hand and clipboard interaction is vague and lacks the specific 'recording' motion.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Lab & Monitors)", "reason_1": "Video 1 depicts a believable medical/lab environment with monitors and equipment that look functional.", "reason_2": "Video 2's environment is cluttered and the equipment looks like melted plastic rather than advanced machinery.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts all key semantic elements: the scientist, the act of recording data, and the unconscious subject. Video 2 fails to render the unconscious subject recognizably.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Human Subjects)", "reason_1": "The human subjects in Video 1 maintain realistic facial structure and body proportions throughout the clip.", "reason_2": "The subject in the background of Video 2 is a severe hallucination, appearing as a melted, multi-limbed mass with no coherent anatomy.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Objects and people in Video 1 remain solid and consistent in shape.", "reason_2": "Video 2 exhibits significant warping and morphing, particularly in the background elements and the scientist's hands.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture", "reason_1": "Textures of the lab coat, skin, and paper are sharp and realistic.", "reason_2": "The image is softer, with a 'plastic' AI sheen and blurred textures on the equipment.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high realism and anatomical correctness. Video 2 collapses completely in terms of biological plausibility.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Clarity", "reason_1": "The scene clearly conveys a scientist working on a patient, aligning with the narrative of a clandestine experiment.", "reason_2": "The narrative is lost because the viewer is distracted by the grotesque distortion of the patient, making it look like a horror glitch rather than a story.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Tension vs. Horror)", "reason_1": "Video 1 captures the 'dimly lit' and serious tone requested.", "reason_2": "Video 2 creates unintentional body horror due to the generation errors, which is not the intended 'tense' atmosphere.", "score_1": 7, "score_2": 3}, {"name": "Composition & Framing", "reason_1": "The framing balances the scientist in the foreground and the subject in the background effectively.", "reason_2": "The composition is messy, with the background subject blending into the equipment in a confusing way.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully establishes the tense, clinical atmosphere requested. Video 2's visual errors break the immersion and shift the tone to unintentional horror.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior anatomical consistency and semantic accuracy. It successfully renders a realistic human subject in the background and a coherent scientist in the foreground performing the requested action (recording data). Video 2 suffers from severe morphological hallucinations, particularly regarding the unconscious subject, which appears as a distorted, unrecognizable mass, destroying the realism and narrative intent.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 68.0, "total_score_2": 22.0, "elapsed_sec": 58.607} +{"pair_id": "064_seed_42", "sample_index": 64, "seed": 42, "prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Sequence & Montage Execution\", \"reason_1\": \"Video 1 completely ignores the instruction for a 'montage of preparations' and 'hacking,' remaining a static shot of a meeting.\", \"reason_2\": \"Video 2 successfully transitions from the planning room to a scene depicting a character in a tactical environment (stealth/prep), fulfilling the narrative shift.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Key Subject Identification (Leader & Young Man)\", \"reason_1\": \"Video 1 features a woman in a suit, but the 'young man' is not clearly distinguished or focused on as requested.\", \"reason_2\": \"Video 2 clearly distinguishes the 'sharp-eyed woman' in the suit and provides a distinct close-up of a young man with a furrowed brow, matching the prompt's character descriptions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Atmosphere (Lighting & Props)\", \"reason_1\": \"Video 1 captures the 'dimly lit, smoke-filled' atmosphere and the table clutter (maps/tablets) very effectively.\", \"reason_2\": \"Video 2 also captures the atmosphere well, though the lighting is slightly flatter in the second scene compared to the dramatic lighting of Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 followed the script's timeline, including the specific character focus and the scene change to a preparation context. Video 1 failed to generate the montage or the specific narrative beats.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"The faces in Video 1 are heavily distorted, with melting features and unnatural expressions that break immersion.\", \"reason_2\": \"Video 2 maintains relatively coherent facial structures for the main characters, particularly in the close-up shots.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is soft and lacks definition, appearing somewhat blurry throughout.\", \"reason_2\": \"Video 2 offers a sharper image with better definition of textures on the suits and the map.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Coherence\", \"reason_1\": \"Motion is minimal and feels like a 'breathing' still image rather than active movement.\", \"reason_2\": \"Video 2 handles the transition between scenes and the movement of the characters reasonably well, despite some minor morphing.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates significantly better facial stability and resolution. Video 1 suffers from severe 'melting' artifacts on the characters' faces.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement & Focus Control\", \"reason_1\": \"The camera is largely static, failing to execute the requested 'pan' or 'zoom in' on specific characters.\", \"reason_2\": \"Video 2 effectively simulates the camera zooming in on the young man to capture his expression, adding cinematic value.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Expression & Mood\", \"reason_1\": \"Due to facial distortion, the intended 'intense expressions' and 'doubt' are lost.\", \"reason_2\": \"The close-up on the young man successfully conveys the requested mood of 'grappling with moral implications' and 'doubt'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Flow & Pacing\", \"reason_1\": \"There is no narrative progression; it is a single moment frozen in time.\", \"reason_2\": \"The video progresses logically from the group strategy session to the individual contemplation and preparation, creating a complete micro-story.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 utilizes camera movement to tell a story, whereas Video 1 is a static tableau. Video 2 captures the emotional weight of the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully attempts the complex narrative progression required by the prompt, transitioning from the planning room to a preparation scene. It also correctly identifies and focuses on the specific characters (the woman leader and the young man) with better facial stability. Video 1 remains a static, single-scene shot that ignores the montage instruction and suffers from severe facial distortion.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Sequence & Montage Execution", "reason_1": "Video 1 completely ignores the instruction for a 'montage of preparations' and 'hacking,' remaining a static shot of a meeting.", "reason_2": "Video 2 successfully transitions from the planning room to a scene depicting a character in a tactical environment (stealth/prep), fulfilling the narrative shift.", "score_1": 1, "score_2": 9}, {"name": "Key Subject Identification (Leader & Young Man)", "reason_1": "Video 1 features a woman in a suit, but the 'young man' is not clearly distinguished or focused on as requested.", "reason_2": "Video 2 clearly distinguishes the 'sharp-eyed woman' in the suit and provides a distinct close-up of a young man with a furrowed brow, matching the prompt's character descriptions.", "score_1": 3, "score_2": 7}, {"name": "Environmental Atmosphere (Lighting & Props)", "reason_1": "Video 1 captures the 'dimly lit, smoke-filled' atmosphere and the table clutter (maps/tablets) very effectively.", "reason_2": "Video 2 also captures the atmosphere well, though the lighting is slightly flatter in the second scene compared to the dramatic lighting of Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 followed the script's timeline, including the specific character focus and the scene change to a preparation context. Video 1 failed to generate the montage or the specific narrative beats.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "The faces in Video 1 are heavily distorted, with melting features and unnatural expressions that break immersion.", "reason_2": "Video 2 maintains relatively coherent facial structures for the main characters, particularly in the close-up shots.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is soft and lacks definition, appearing somewhat blurry throughout.", "reason_2": "Video 2 offers a sharper image with better definition of textures on the suits and the map.", "score_1": 3, "score_2": 7}, {"name": "Motion Coherence", "reason_1": "Motion is minimal and feels like a 'breathing' still image rather than active movement.", "reason_2": "Video 2 handles the transition between scenes and the movement of the characters reasonably well, despite some minor morphing.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates significantly better facial stability and resolution. Video 1 suffers from severe 'melting' artifacts on the characters' faces.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement & Focus Control", "reason_1": "The camera is largely static, failing to execute the requested 'pan' or 'zoom in' on specific characters.", "reason_2": "Video 2 effectively simulates the camera zooming in on the young man to capture his expression, adding cinematic value.", "score_1": 2, "score_2": 8}, {"name": "Emotional Expression & Mood", "reason_1": "Due to facial distortion, the intended 'intense expressions' and 'doubt' are lost.", "reason_2": "The close-up on the young man successfully conveys the requested mood of 'grappling with moral implications' and 'doubt'.", "score_1": 3, "score_2": 7}, {"name": "Narrative Flow & Pacing", "reason_1": "There is no narrative progression; it is a single moment frozen in time.", "reason_2": "The video progresses logically from the group strategy session to the individual contemplation and preparation, creating a complete micro-story.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 utilizes camera movement to tell a story, whereas Video 1 is a static tableau. Video 2 captures the emotional weight of the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully attempts the complex narrative progression required by the prompt, transitioning from the planning room to a preparation scene. It also correctly identifies and focuses on the specific characters (the woman leader and the young man) with better facial stability. Video 1 remains a static, single-scene shot that ignores the montage instruction and suffers from severe facial distortion.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 63.282} +{"pair_id": "064_seed_310", "sample_index": 64, "seed": 310, "prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_310_In a dimly lit smoke-filled room a diverse group o.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_310_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_310_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_310_In a dimly lit smoke-filled room a diverse group o.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Sequence & Montage Execution\", \"reason_1\": \"Video 1 completely ignores the instruction to shift to a montage of preparations (hacking, stealth), remaining static on the meeting.\", \"reason_2\": \"Video 2 also fails to generate the requested montage or scene shifts, staying fixed on the initial huddle.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Specificity (Leader & Young Man)\", \"reason_1\": \"Video 1 clearly depicts the 'sharp-eyed woman in a tailored suit' as the focal point, aligning well with the prompt's character description.\", \"reason_2\": \"Video 2 lacks a clear focal leader; the characters are generic and their roles are indistinguishable due to visual distortion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Lighting & Props)\", \"reason_1\": \"Video 1 successfully renders the 'dimly lit, smoke-filled room' and the table cluttered with blueprints and tablets.\", \"reason_2\": \"Video 2 attempts the environment but the lighting is flat and the props (table items) are unrecognizable blobs.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific character details (woman in suit) and environmental atmosphere requested, whereas Video 2 fails to render distinct characters or a coherent setting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Video 1 maintains relatively stable and recognizable human faces throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'melting face' artifacts, where features slide off the head and distort grotesquely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body Structure)\", \"reason_1\": \"The bodies and hands in Video 1 remain solid and anatomically plausible.\", \"reason_2\": \"In Video 2, hands merge into the table and bodies warp fluidly, lacking any physical solidity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined textures on the suits and paper.\", \"reason_2\": \"The video is blurry, noisy, and lacks definition, resembling a low-quality early generation model.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains acceptable human anatomy and image sharpness. Video 2 exhibits severe hallucinations, with faces melting and limbs merging, rendering it visually unacceptable.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"Video 1 effectively uses the 'soft glow' and smoke to create a dramatic, tense atmosphere suitable for a heist movie.\", \"reason_2\": \"Video 2 has flat, unappealing lighting that fails to evoke the requested tension or mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is balanced, focusing attention on the group dynamic and the leader.\", \"reason_2\": \"Video 2 has awkward framing with characters cut off or positioned randomly, lacking a focal point.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually coherent and pleasant to watch despite the lack of complex motion.\", \"reason_2\": \"The visual artifacts and distortions make the video unpleasant and disturbing to watch.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 achieves a cinematic look with dramatic lighting and professional composition. Video 2 is aesthetically displeasing due to its chaotic and broken visuals.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to significantly higher visual fidelity and anatomical coherence. While both videos fail to execute the complex narrative progression (the montage of preparations), Video 1 successfully renders the initial scene with a recognizable leader, appropriate lighting, and stable character features. Video 2 suffers from catastrophic morphological failure, with severe facial distortions and melting artifacts that destroy realism.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Sequence & Montage Execution", "reason_1": "Video 1 completely ignores the instruction to shift to a montage of preparations (hacking, stealth), remaining static on the meeting.", "reason_2": "Video 2 also fails to generate the requested montage or scene shifts, staying fixed on the initial huddle.", "score_1": 5, "score_2": 5}, {"name": "Subject Specificity (Leader & Young Man)", "reason_1": "Video 1 clearly depicts the 'sharp-eyed woman in a tailored suit' as the focal point, aligning well with the prompt's character description.", "reason_2": "Video 2 lacks a clear focal leader; the characters are generic and their roles are indistinguishable due to visual distortion.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Lighting & Props)", "reason_1": "Video 1 successfully renders the 'dimly lit, smoke-filled room' and the table cluttered with blueprints and tablets.", "reason_2": "Video 2 attempts the environment but the lighting is flat and the props (table items) are unrecognizable blobs.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific character details (woman in suit) and environmental atmosphere requested, whereas Video 2 fails to render distinct characters or a coherent setting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Video 1 maintains relatively stable and recognizable human faces throughout the clip.", "reason_2": "Video 2 suffers from severe 'melting face' artifacts, where features slide off the head and distort grotesquely.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body Structure)", "reason_1": "The bodies and hands in Video 1 remain solid and anatomically plausible.", "reason_2": "In Video 2, hands merge into the table and bodies warp fluidly, lacking any physical solidity.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined textures on the suits and paper.", "reason_2": "The video is blurry, noisy, and lacks definition, resembling a low-quality early generation model.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains acceptable human anatomy and image sharpness. Video 2 exhibits severe hallucinations, with faces melting and limbs merging, rendering it visually unacceptable.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "Video 1 effectively uses the 'soft glow' and smoke to create a dramatic, tense atmosphere suitable for a heist movie.", "reason_2": "Video 2 has flat, unappealing lighting that fails to evoke the requested tension or mood.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is balanced, focusing attention on the group dynamic and the leader.", "reason_2": "Video 2 has awkward framing with characters cut off or positioned randomly, lacking a focal point.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually coherent and pleasant to watch despite the lack of complex motion.", "reason_2": "The visual artifacts and distortions make the video unpleasant and disturbing to watch.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 achieves a cinematic look with dramatic lighting and professional composition. Video 2 is aesthetically displeasing due to its chaotic and broken visuals.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to significantly higher visual fidelity and anatomical coherence. While both videos fail to execute the complex narrative progression (the montage of preparations), Video 1 successfully renders the initial scene with a recognizable leader, appropriate lighting, and stable character features. Video 2 suffers from catastrophic morphological failure, with severe facial distortions and melting artifacts that destroy realism.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 60.597} +{"pair_id": "064_seed_930", "sample_index": 64, "seed": 930, "prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Smoke)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit, smoke-filled room' with a 'soft glow' from an overhead source, creating the exact mood requested.\", \"reason_2\": \"Video 2 presents a flatly lit, generic room that lacks the smoke, the specific lighting source, and the dramatic atmosphere described.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject & Prop Fidelity (Table Clutter)\", \"reason_1\": \"Video 1 clearly displays the requested blueprints, maps, and digital tablets on the table, integrated naturally into the scene.\", \"reason_2\": \"Video 2 shows a table, but the props are indistinct and lack the specific detail of blueprints or maps, looking more like generic office clutter.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Sequence Adherence (Montage)\", \"reason_1\": \"Video 1 fails to execute the requested 'montage of preparations' and 'hacking/stealth' scenes, remaining static on the planning phase.\", \"reason_2\": \"Video 2 also completely ignores the narrative progression instructions, failing to show the montage or the specific actions of honing skills.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 accurately renders the specific environmental cues (smoke, lighting) and props (maps, tablets) requested. Video 2 fails to capture the atmospheric description and presents a generic, poorly defined setting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"The subjects in Video 1 maintain consistent, realistic facial features throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and distortion of faces, particularly the man on the right, whose features shift grotesquely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body & Objects)\", \"reason_1\": \"Objects and bodies in Video 1 remain solid and obey physical space.\", \"reason_2\": \"Video 2 suffers from significant morphing artifacts; hands merge with the table and bodies warp unnaturally during movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 has a sharp, cinematic look with realistic textures on clothing and paper.\", \"reason_2\": \"Video 2 has a blurry, low-resolution appearance with muddy textures and digital noise.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and realism. Video 2 is plagued by severe artifacts, including melting faces and warping bodies, rendering it visually unacceptable.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"Video 1 utilizes backlighting and volumetric fog effectively to create the 'tense' and 'dimly lit' aesthetic.\", \"reason_2\": \"Video 2 uses flat, uninspired lighting that fails to evoke any specific mood or tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is balanced, focusing attention on the group dynamic and the table.\", \"reason_2\": \"Video 2 has awkward framing with subjects cut off or positioned strangely, lacking a focal point.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 looks like a clip from a high-budget film.\", \"reason_2\": \"Video 2 looks like a glitchy, early-generation AI error.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully establishes a cinematic heist aesthetic with appropriate lighting and composition. Video 2 lacks artistic merit due to its technical flaws and flat composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, atmospheric accuracy, and stability. It successfully creates the 'dimly lit, smoke-filled' environment and renders the props (maps, tablets) with high realism. While both videos fail to generate the requested 'montage of preparations' (hacking/stealth scenes), Video 1 provides a coherent, high-quality cinematic shot of the planning phase. Video 2 suffers from severe morphological instability, facial distortion, and poor lighting, making it visually incoherent.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Smoke)", "reason_1": "Video 1 perfectly captures the 'dimly lit, smoke-filled room' with a 'soft glow' from an overhead source, creating the exact mood requested.", "reason_2": "Video 2 presents a flatly lit, generic room that lacks the smoke, the specific lighting source, and the dramatic atmosphere described.", "score_1": 9, "score_2": 1}, {"name": "Subject & Prop Fidelity (Table Clutter)", "reason_1": "Video 1 clearly displays the requested blueprints, maps, and digital tablets on the table, integrated naturally into the scene.", "reason_2": "Video 2 shows a table, but the props are indistinct and lack the specific detail of blueprints or maps, looking more like generic office clutter.", "score_1": 8, "score_2": 2}, {"name": "Narrative Sequence Adherence (Montage)", "reason_1": "Video 1 fails to execute the requested 'montage of preparations' and 'hacking/stealth' scenes, remaining static on the planning phase.", "reason_2": "Video 2 also completely ignores the narrative progression instructions, failing to show the montage or the specific actions of honing skills.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 accurately renders the specific environmental cues (smoke, lighting) and props (maps, tablets) requested. Video 2 fails to capture the atmospheric description and presents a generic, poorly defined setting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "The subjects in Video 1 maintain consistent, realistic facial features throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and distortion of faces, particularly the man on the right, whose features shift grotesquely.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body & Objects)", "reason_1": "Objects and bodies in Video 1 remain solid and obey physical space.", "reason_2": "Video 2 suffers from significant morphing artifacts; hands merge with the table and bodies warp unnaturally during movement.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 has a sharp, cinematic look with realistic textures on clothing and paper.", "reason_2": "Video 2 has a blurry, low-resolution appearance with muddy textures and digital noise.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and realism. Video 2 is plagued by severe artifacts, including melting faces and warping bodies, rendering it visually unacceptable.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "Video 1 utilizes backlighting and volumetric fog effectively to create the 'tense' and 'dimly lit' aesthetic.", "reason_2": "Video 2 uses flat, uninspired lighting that fails to evoke any specific mood or tension.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is balanced, focusing attention on the group dynamic and the table.", "reason_2": "Video 2 has awkward framing with subjects cut off or positioned strangely, lacking a focal point.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 looks like a clip from a high-budget film.", "reason_2": "Video 2 looks like a glitchy, early-generation AI error.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully establishes a cinematic heist aesthetic with appropriate lighting and composition. Video 2 lacks artistic merit due to its technical flaws and flat composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, atmospheric accuracy, and stability. It successfully creates the 'dimly lit, smoke-filled' environment and renders the props (maps, tablets) with high realism. While both videos fail to generate the requested 'montage of preparations' (hacking/stealth scenes), Video 1 provides a coherent, high-quality cinematic shot of the planning phase. Video 2 suffers from severe morphological instability, facial distortion, and poor lighting, making it visually incoherent.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 62.718} +{"pair_id": "065_seed_42", "sample_index": 65, "seed": 42, "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \\\"Alien Invasion Imminent?\\\" and \\\"World on Alert!\\\" The scene shifts to government officials in a high-tech command center, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Text Rendering Accuracy (Headlines)\", \"reason_1\": \"Video 1 perfectly renders the specific text 'Alien Invasion Imminent?' and 'World on Alert!' on the screens and newspapers as requested.\", \"reason_2\": \"Video 2 generates completely illegible, garbled text that bears no resemblance to the specific English phrases requested in the prompt.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Scene Sequence & Transition Logic\", \"reason_1\": \"Video 1 follows the prompt's narrative arc: Studio -> Command Center -> Public Reaction -> Newspaper Montage, with clear cuts.\", \"reason_2\": \"Video 2 attempts the sequence but the transitions are messy, and the 'public reaction' scene is barely recognizable due to severe distortion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attribute Fidelity (Suit/Studio)\", \"reason_1\": \"The anchor and officials in Video 1 are dressed correctly in suits, and the studio environment looks sleek and modern.\", \"reason_2\": \"While the anchor wears a suit, the environment is unstable, and the 'officials' in the command center are rendered as amorphous blobs.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific text strings requested in the prompt and clearly delineates the required scenes. Video 2 fails to generate legible text and struggles to define the subjects clearly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Bodies)\", \"reason_1\": \"Subjects in Video 1 maintain their human form and facial features consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; faces distort into nightmares, and bodies lose structural integrity during motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear details on the news desk, screens, and newspaper print.\", \"reason_2\": \"The video is blurry, noisy, and lacks definition, making it difficult to discern details in the background or on faces.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Persistence (Newspapers)\", \"reason_1\": \"The newspapers in the final montage are rendered as distinct, solid objects with consistent geometry.\", \"reason_2\": \"The newspapers in Video 2 appear to float and morph into the background, lacking physical solidity.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 is plagued by severe artifacts, blurring, and morphological breakdown of human subjects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Broadcast News Aesthetic\", \"reason_1\": \"The lighting, framing, and set design in Video 1 convincingly mimic a professional television news studio.\", \"reason_2\": \"Video 2 looks like a glitchy, low-quality generation that fails to evoke the polished look of a news broadcast.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses standard, effective news framing (medium shot for anchor, wide for command center).\", \"reason_2\": \"Video 2 has awkward framing, often cutting off heads or placing subjects in confusing spatial arrangements.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The story of an alien invasion is clearly communicated through the visual progression of scenes.\", \"reason_2\": \"The narrative is lost in the visual noise; it is hard to tell what is happening in the 'command center' or 'public reaction' scenes.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully captures the aesthetic of a professional news broadcast with clean composition. Video 2 is chaotic and visually unappealing due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in both technical execution and semantic adherence. It successfully renders the specific text requested in the prompt (\\\"Alien Invasion Imminent?\\\") with high legibility, whereas Video 2 produces illegible gibberish. Furthermore, Video 1 maintains consistent character identity and scene stability, while Video 2 suffers from severe morphological distortion, melting faces, and incoherent transitions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Text Rendering Accuracy (Headlines)", "reason_1": "Video 1 perfectly renders the specific text 'Alien Invasion Imminent?' and 'World on Alert!' on the screens and newspapers as requested.", "reason_2": "Video 2 generates completely illegible, garbled text that bears no resemblance to the specific English phrases requested in the prompt.", "score_1": 10, "score_2": 0}, {"name": "Scene Sequence & Transition Logic", "reason_1": "Video 1 follows the prompt's narrative arc: Studio -> Command Center -> Public Reaction -> Newspaper Montage, with clear cuts.", "reason_2": "Video 2 attempts the sequence but the transitions are messy, and the 'public reaction' scene is barely recognizable due to severe distortion.", "score_1": 8, "score_2": 2}, {"name": "Subject Attribute Fidelity (Suit/Studio)", "reason_1": "The anchor and officials in Video 1 are dressed correctly in suits, and the studio environment looks sleek and modern.", "reason_2": "While the anchor wears a suit, the environment is unstable, and the 'officials' in the command center are rendered as amorphous blobs.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific text strings requested in the prompt and clearly delineates the required scenes. Video 2 fails to generate legible text and struggles to define the subjects clearly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Bodies)", "reason_1": "Subjects in Video 1 maintain their human form and facial features consistently throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; faces distort into nightmares, and bodies lose structural integrity during motion.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear details on the news desk, screens, and newspaper print.", "reason_2": "The video is blurry, noisy, and lacks definition, making it difficult to discern details in the background or on faces.", "score_1": 9, "score_2": 1}, {"name": "Object Persistence (Newspapers)", "reason_1": "The newspapers in the final montage are rendered as distinct, solid objects with consistent geometry.", "reason_2": "The newspapers in Video 2 appear to float and morph into the background, lacking physical solidity.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 is plagued by severe artifacts, blurring, and morphological breakdown of human subjects.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Broadcast News Aesthetic", "reason_1": "The lighting, framing, and set design in Video 1 convincingly mimic a professional television news studio.", "reason_2": "Video 2 looks like a glitchy, low-quality generation that fails to evoke the polished look of a news broadcast.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses standard, effective news framing (medium shot for anchor, wide for command center).", "reason_2": "Video 2 has awkward framing, often cutting off heads or placing subjects in confusing spatial arrangements.", "score_1": 8, "score_2": 2}, {"name": "Narrative Clarity", "reason_1": "The story of an alien invasion is clearly communicated through the visual progression of scenes.", "reason_2": "The narrative is lost in the visual noise; it is hard to tell what is happening in the 'command center' or 'public reaction' scenes.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully captures the aesthetic of a professional news broadcast with clean composition. Video 2 is chaotic and visually unappealing due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in both technical execution and semantic adherence. It successfully renders the specific text requested in the prompt (\"Alien Invasion Imminent?\") with high legibility, whereas Video 2 produces illegible gibberish. Furthermore, Video 1 maintains consistent character identity and scene stability, while Video 2 suffers from severe morphological distortion, melting faces, and incoherent transitions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 58.533} +{"pair_id": "065_seed_310", "sample_index": 65, "seed": 310, "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_310_A news anchor dressed in a crisp suit sits at a sl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_310_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_310_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_310_A news anchor dressed in a crisp suit sits at a sl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \\\"Alien Invasion Imminent?\\\" and \\\"World on Alert!\\\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Specific Text Rendering (Headlines)\", \"reason_1\": \"Video 1 perfectly renders the requested text 'Alien Invasion Imminent?' and 'World on Alert!' on the studio screen with high legibility.\", \"reason_2\": \"Video 2 displays a generic UFO graphic with no legible text matching the specific prompt requirements.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Narrative Sequence & Scene Transitions\", \"reason_1\": \"Video 1 follows the prompt's sequence: Anchor -> Command Center -> Public Reaction -> Newspaper Montage, utilizing clear cuts.\", \"reason_2\": \"Video 2 attempts a continuous shot that morphs illogically between scenes, failing to distinctively show the command center or the specific newspaper montage conclusion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject & Environment Detail\", \"reason_1\": \"Video 1 clearly depicts the anchor, the high-tech command center with maps, and the crowd with smartphones.\", \"reason_2\": \"Video 2's depiction of the command center and crowd is extremely blurry and lacks distinct details like maps or smartphones.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific text strings requested and follows the multi-scene narrative structure. Video 2 fails to generate the text and struggles to distinguish the different scenes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video maintains a broadcast-quality sharpness with clear textures on the suit and studio set.\", \"reason_2\": \"The video is heavily blurred, resembling a low-resolution upscale with significant loss of detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Subjects maintain their form and identity throughout the clip.\", \"reason_2\": \"The video suffers from severe morphing, where the anchor and the background melt into one another during transitions.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Coherence\", \"reason_1\": \"Motion is limited but realistic for a news broadcast format.\", \"reason_2\": \"The camera motion is erratic and the movement of subjects is unnatural and fluid-like.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 is plagued by blurriness, low resolution, and severe temporal morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Broadcast News Aesthetic\", \"reason_1\": \"The framing, lighting, and graphic overlays perfectly mimic a professional news broadcast.\", \"reason_2\": \"The visual style is incoherent and lacks the polished look of a news studio.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Subjects are well-framed, and the background screens are integrated logically into the set design.\", \"reason_2\": \"The framing is awkward, often cutting off subjects or blending the foreground and background indistinguishably.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The story progression is easy to follow due to distinct scene changes.\", \"reason_2\": \"The narrative is lost in visual noise and confusing transitions.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully captures the aesthetic of a professional news broadcast with appropriate framing and editing. Video 2 lacks aesthetic coherence.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior semantic understanding by accurately rendering the specific text headlines requested in the prompt and executing the narrative sequence through distinct scene cuts. Video 2 suffers from severe visual degradation, fails to render the required text, and relies on incoherent morphing rather than logical scene transitions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Specific Text Rendering (Headlines)", "reason_1": "Video 1 perfectly renders the requested text 'Alien Invasion Imminent?' and 'World on Alert!' on the studio screen with high legibility.", "reason_2": "Video 2 displays a generic UFO graphic with no legible text matching the specific prompt requirements.", "score_1": 10, "score_2": 0}, {"name": "Narrative Sequence & Scene Transitions", "reason_1": "Video 1 follows the prompt's sequence: Anchor -> Command Center -> Public Reaction -> Newspaper Montage, utilizing clear cuts.", "reason_2": "Video 2 attempts a continuous shot that morphs illogically between scenes, failing to distinctively show the command center or the specific newspaper montage conclusion.", "score_1": 9, "score_2": 1}, {"name": "Subject & Environment Detail", "reason_1": "Video 1 clearly depicts the anchor, the high-tech command center with maps, and the crowd with smartphones.", "reason_2": "Video 2's depiction of the command center and crowd is extremely blurry and lacks distinct details like maps or smartphones.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific text strings requested and follows the multi-scene narrative structure. Video 2 fails to generate the text and struggles to distinguish the different scenes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video maintains a broadcast-quality sharpness with clear textures on the suit and studio set.", "reason_2": "The video is heavily blurred, resembling a low-resolution upscale with significant loss of detail.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Subjects maintain their form and identity throughout the clip.", "reason_2": "The video suffers from severe morphing, where the anchor and the background melt into one another during transitions.", "score_1": 9, "score_2": 1}, {"name": "Motion Coherence", "reason_1": "Motion is limited but realistic for a news broadcast format.", "reason_2": "The camera motion is erratic and the movement of subjects is unnatural and fluid-like.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 is plagued by blurriness, low resolution, and severe temporal morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Broadcast News Aesthetic", "reason_1": "The framing, lighting, and graphic overlays perfectly mimic a professional news broadcast.", "reason_2": "The visual style is incoherent and lacks the polished look of a news studio.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Subjects are well-framed, and the background screens are integrated logically into the set design.", "reason_2": "The framing is awkward, often cutting off subjects or blending the foreground and background indistinguishably.", "score_1": 8, "score_2": 2}, {"name": "Narrative Clarity", "reason_1": "The story progression is easy to follow due to distinct scene changes.", "reason_2": "The narrative is lost in visual noise and confusing transitions.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully captures the aesthetic of a professional news broadcast with appropriate framing and editing. Video 2 lacks aesthetic coherence.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior semantic understanding by accurately rendering the specific text headlines requested in the prompt and executing the narrative sequence through distinct scene cuts. Video 2 suffers from severe visual degradation, fails to render the required text, and relies on incoherent morphing rather than logical scene transitions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 79.0, "total_score_2": 11.0, "elapsed_sec": 52.022} +{"pair_id": "065_seed_930", "sample_index": 65, "seed": 930, "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \\\"Alien Invasion Imminent?\\\" and \\\"World on Alert!\\\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Text Rendering Accuracy (Headlines)\", \"reason_1\": \"Video 1 clearly renders the specific text 'Alien Invasion Imminent?' on the studio screen, matching the prompt perfectly.\", \"reason_2\": \"Video 2 displays garbled, illegible text that only vaguely resembles the shape of letters, failing the specific text requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Sequence & Scene Transitions\", \"reason_1\": \"Video 1 follows the requested sequence: Anchor -> Command Center -> Public Reaction, with distinct cuts.\", \"reason_2\": \"Video 2 attempts the sequence but the transitions are messy, and the 'Command Center' scene is barely recognizable due to visual noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject & Environment Completeness\", \"reason_1\": \"Video 1 includes the anchor, the command center with officials, and the crowd with smartphones as requested.\", \"reason_2\": \"Video 2 includes the anchor and crowd, but the command center is poorly defined and the environment lacks the 'high-tech' detail requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately renders the specific text requested in the prompt and follows the narrative sequence clearly. Video 2 fails to render legible text and struggles to distinguish the command center scene from the studio.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Objects)\", \"reason_1\": \"The anchor and background elements in Video 1 remain solid and consistent in form throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; the anchor's face distorts significantly, and the crowd faces are nightmarish and unstable.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"Video 1 is sharp, with clear definition between the foreground and background elements.\", \"reason_2\": \"Video 2 is blurry and noisy, with significant artifacts obscuring details in the crowd and background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The news anchor in Video 1 maintains a consistent appearance across the shots.\", \"reason_2\": \"The anchor in Video 2 changes facial structure and lighting conditions drastically between frames, losing identity coherence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable, albeit slightly stylized, image with consistent subject identity. Video 2 suffers from catastrophic morphological failure, with faces and objects melting and distorting heavily.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"News Broadcast Aesthetic\", \"reason_1\": \"Video 1 successfully mimics the visual language of a TV news broadcast, including the studio layout and screen graphics.\", \"reason_2\": \"Video 2 fails to capture a professional broadcast look, appearing more like a corrupted video file.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses standard, effective framing for a news anchor and wide shots for the crowd.\", \"reason_2\": \"Video 2 has awkward framing, often cutting off heads or placing subjects in confusing spatial relationships.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is clean, colorful, and easy to watch.\", \"reason_2\": \"The video is visually disturbing due to the high level of distortion and artifacts.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 effectively captures the aesthetic of a professional news broadcast with appropriate framing and composition. Video 2's aesthetic is ruined by technical glitches and poor composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully renders the specific text required by the prompt ('Alien Invasion Imminent?') and maintains high structural stability throughout the scene transitions. Video 2, while attempting the correct narrative flow, suffers from severe morphological instability, with faces and objects melting and distorting significantly, and fails to render legible text.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Text Rendering Accuracy (Headlines)", "reason_1": "Video 1 clearly renders the specific text 'Alien Invasion Imminent?' on the studio screen, matching the prompt perfectly.", "reason_2": "Video 2 displays garbled, illegible text that only vaguely resembles the shape of letters, failing the specific text requirement.", "score_1": 9, "score_2": 1}, {"name": "Narrative Sequence & Scene Transitions", "reason_1": "Video 1 follows the requested sequence: Anchor -> Command Center -> Public Reaction, with distinct cuts.", "reason_2": "Video 2 attempts the sequence but the transitions are messy, and the 'Command Center' scene is barely recognizable due to visual noise.", "score_1": 8, "score_2": 2}, {"name": "Subject & Environment Completeness", "reason_1": "Video 1 includes the anchor, the command center with officials, and the crowd with smartphones as requested.", "reason_2": "Video 2 includes the anchor and crowd, but the command center is poorly defined and the environment lacks the 'high-tech' detail requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately renders the specific text requested in the prompt and follows the narrative sequence clearly. Video 2 fails to render legible text and struggles to distinguish the command center scene from the studio.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Objects)", "reason_1": "The anchor and background elements in Video 1 remain solid and consistent in form throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; the anchor's face distorts significantly, and the crowd faces are nightmarish and unstable.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Clarity", "reason_1": "Video 1 is sharp, with clear definition between the foreground and background elements.", "reason_2": "Video 2 is blurry and noisy, with significant artifacts obscuring details in the crowd and background.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The news anchor in Video 1 maintains a consistent appearance across the shots.", "reason_2": "The anchor in Video 2 changes facial structure and lighting conditions drastically between frames, losing identity coherence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable, albeit slightly stylized, image with consistent subject identity. Video 2 suffers from catastrophic morphological failure, with faces and objects melting and distorting heavily.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "News Broadcast Aesthetic", "reason_1": "Video 1 successfully mimics the visual language of a TV news broadcast, including the studio layout and screen graphics.", "reason_2": "Video 2 fails to capture a professional broadcast look, appearing more like a corrupted video file.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses standard, effective framing for a news anchor and wide shots for the crowd.", "reason_2": "Video 2 has awkward framing, often cutting off heads or placing subjects in confusing spatial relationships.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video is clean, colorful, and easy to watch.", "reason_2": "The video is visually disturbing due to the high level of distortion and artifacts.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 effectively captures the aesthetic of a professional news broadcast with appropriate framing and composition. Video 2's aesthetic is ruined by technical glitches and poor composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully renders the specific text required by the prompt ('Alien Invasion Imminent?') and maintains high structural stability throughout the scene transitions. Video 2, while attempting the correct narrative flow, suffers from severe morphological instability, with faces and objects melting and distorting significantly, and fails to render legible text.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 57.643} +{"pair_id": "066_seed_42", "sample_index": 66, "seed": 42, "prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Clothing)\", \"reason_1\": \"Video 1 correctly depicts the subject in the black jacket wearing sneakers (visible in the wide shot).\", \"reason_2\": \"Video 2 fails this specific attribute; the subject in the black jacket is wearing black track pants with white stripes, not sneakers.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Escalation (Verbal to Physical)\", \"reason_1\": \"Video 1 clearly shows the progression from a verbal standoff to a physical shove, matching the prompt's narrative arc.\", \"reason_2\": \"Video 2 depicts the physical altercation, but the transition is abrupt and the action is obscured by visual glitches.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Context (Crowd & Lockers)\", \"reason_1\": \"Video 1 establishes a clear school hallway with lockers and a distinct crowd of onlookers.\", \"reason_2\": \"Video 2 also successfully generates the hallway setting and the surrounding crowd.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres more strictly to the specific clothing attributes requested in the prompt, particularly the footwear of the subject in the black jacket.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"Video 1 maintains consistent facial structures for the main subjects throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'melting' and distortion of faces, particularly the subject in the red hoodie, whose eyes and mouth become grotesque.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The characters in Video 1 remain recognizable as the same individuals from start to finish.\", \"reason_2\": \"The subject in the red hoodie in Video 2 shifts appearance significantly, losing identity coherence during the motion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The movement in Video 1 is relatively grounded, though slightly stiff.\", \"reason_2\": \"Video 2 exhibits jerky, unnatural motion, and the physical interaction lacks weight and proper collision physics.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains structural integrity, whereas Video 2 collapses into severe artifacts and facial distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Zoom Execution)\", \"reason_1\": \"Video 1 executes a smooth, intentional zoom-in that focuses attention on the conflict as requested.\", \"reason_2\": \"Video 2 attempts a zoom, but it is shaky and disorienting, detracting from the scene.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Readability\", \"reason_1\": \"The expressions of anger and tension are readable and fit the 'tense' description.\", \"reason_2\": \"Due to the artifacts, the emotions read as horror or confusion rather than the intended narrative anger.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 looks like a coherent scene from a movie or TV show.\", \"reason_2\": \"Video 2 is visually unappealing due to the high frequency of generation errors and distortions.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a watchable, coherent scene with a clear camera move that enhances the narrative, while Video 2 is visually disturbing due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior temporal stability and morphological consistency. While Video 2 attempts a more dynamic camera zoom, it suffers from catastrophic failure in facial rendering, with the subjects' features melting and distorting severely during the action. Video 1 maintains the identity and structure of the characters throughout the escalation, accurately depicts the specific clothing attributes (sneakers), and delivers a coherent narrative flow without distracting visual artifacts.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Clothing)", "reason_1": "Video 1 correctly depicts the subject in the black jacket wearing sneakers (visible in the wide shot).", "reason_2": "Video 2 fails this specific attribute; the subject in the black jacket is wearing black track pants with white stripes, not sneakers.", "score_1": 8, "score_2": 2}, {"name": "Action Escalation (Verbal to Physical)", "reason_1": "Video 1 clearly shows the progression from a verbal standoff to a physical shove, matching the prompt's narrative arc.", "reason_2": "Video 2 depicts the physical altercation, but the transition is abrupt and the action is obscured by visual glitches.", "score_1": 6, "score_2": 4}, {"name": "Environmental Context (Crowd & Lockers)", "reason_1": "Video 1 establishes a clear school hallway with lockers and a distinct crowd of onlookers.", "reason_2": "Video 2 also successfully generates the hallway setting and the surrounding crowd.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres more strictly to the specific clothing attributes requested in the prompt, particularly the footwear of the subject in the black jacket.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "Video 1 maintains consistent facial structures for the main subjects throughout the clip.", "reason_2": "Video 2 suffers from severe 'melting' and distortion of faces, particularly the subject in the red hoodie, whose eyes and mouth become grotesque.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The characters in Video 1 remain recognizable as the same individuals from start to finish.", "reason_2": "The subject in the red hoodie in Video 2 shifts appearance significantly, losing identity coherence during the motion.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The movement in Video 1 is relatively grounded, though slightly stiff.", "reason_2": "Video 2 exhibits jerky, unnatural motion, and the physical interaction lacks weight and proper collision physics.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains structural integrity, whereas Video 2 collapses into severe artifacts and facial distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Zoom Execution)", "reason_1": "Video 1 executes a smooth, intentional zoom-in that focuses attention on the conflict as requested.", "reason_2": "Video 2 attempts a zoom, but it is shaky and disorienting, detracting from the scene.", "score_1": 7, "score_2": 3}, {"name": "Emotional Readability", "reason_1": "The expressions of anger and tension are readable and fit the 'tense' description.", "reason_2": "Due to the artifacts, the emotions read as horror or confusion rather than the intended narrative anger.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 looks like a coherent scene from a movie or TV show.", "reason_2": "Video 2 is visually unappealing due to the high frequency of generation errors and distortions.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a watchable, coherent scene with a clear camera move that enhances the narrative, while Video 2 is visually disturbing due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior temporal stability and morphological consistency. While Video 2 attempts a more dynamic camera zoom, it suffers from catastrophic failure in facial rendering, with the subjects' features melting and distorting severely during the action. Video 1 maintains the identity and structure of the characters throughout the escalation, accurately depicts the specific clothing attributes (sneakers), and delivers a coherent narrative flow without distracting visual artifacts.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 57.181} +{"pair_id": "066_seed_310", "sample_index": 66, "seed": 310, "prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_310_In a bustling school hallway two teenagers stand f.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_310_In a bustling school hallway two teenagers stand f.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_310_In a bustling school hallway two teenagers stand f.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_310_In a bustling school hallway two teenagers stand f.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 correctly depicts the red hoodie and black jacket as described.\", \"reason_2\": \"Video 2 also correctly depicts the red hoodie and black jacket, with high detail.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Action Escalation (Verbal to Physical)\", \"reason_1\": \"Video 1 depicts the confrontation but the physical interaction is vague and lacks the specific 'pushing' dynamic requested.\", \"reason_2\": \"Video 2 clearly shows the escalation from shouting to a physical shove, aligning perfectly with the prompt's narrative arc.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Crowd & Setting)\", \"reason_1\": \"Video 1 features a static, low-detail background crowd that feels disconnected from the main action.\", \"reason_2\": \"Video 2 features a realistic, bustling hallway with a crowd that feels spatially integrated and reactive.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific actions and environmental details with greater fidelity, particularly the physical escalation and the realistic crowd context.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"Video 1 utilizes a flat, cel-shaded anime style which lacks texture depth.\", \"reason_2\": \"Video 2 achieves high-quality photorealism with realistic lighting, skin textures, and fabric details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"The motion in Video 1 is stiff and jerky, typical of lower-frame-rate animation.\", \"reason_2\": \"Video 2 displays smooth, natural human movement and realistic momentum during the physical interaction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The anime characters maintain their design consistency throughout the clip.\", \"reason_2\": \"The photorealistic subjects maintain their facial features and clothing details consistently.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior technical execution with photorealistic rendering and fluid motion, whereas Video 1 is limited by its stylized, lower-frame-rate animation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Dynamics (Zoom & Focus)\", \"reason_1\": \"Video 1 uses a static camera angle that fails to execute the requested 'zoom in on their faces'.\", \"reason_2\": \"Video 2 executes a dynamic camera push/zoom that effectively heightens the tension and focuses on the subjects.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Intensity & Atmosphere\", \"reason_1\": \"The anime style creates a somewhat detached emotional tone; the expressions are generic.\", \"reason_2\": \"The realistic acting and close-up framing successfully convey the 'raw emotion and anger' requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Pacing & Impact\", \"reason_1\": \"The pacing is slow and the climax feels underwhelming due to the lack of dynamic movement.\", \"reason_2\": \"The clip builds tension effectively, culminating in a sudden, impactful physical clash.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 excels in cinematic presentation, utilizing camera movement to enhance the emotional intensity, which was a specific requirement of the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior photorealistic quality, dynamic camera work, and accurate depiction of the physical escalation described in the prompt. While Video 1 adheres to the basic semantic elements in an anime style, it lacks the requested camera zoom and the visceral intensity of the confrontation. Video 2 successfully captures the 'raw emotion' and 'charged atmosphere' through realistic acting and cinematic framing.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 correctly depicts the red hoodie and black jacket as described.", "reason_2": "Video 2 also correctly depicts the red hoodie and black jacket, with high detail.", "score_1": 5, "score_2": 5}, {"name": "Action Escalation (Verbal to Physical)", "reason_1": "Video 1 depicts the confrontation but the physical interaction is vague and lacks the specific 'pushing' dynamic requested.", "reason_2": "Video 2 clearly shows the escalation from shouting to a physical shove, aligning perfectly with the prompt's narrative arc.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Crowd & Setting)", "reason_1": "Video 1 features a static, low-detail background crowd that feels disconnected from the main action.", "reason_2": "Video 2 features a realistic, bustling hallway with a crowd that feels spatially integrated and reactive.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific actions and environmental details with greater fidelity, particularly the physical escalation and the realistic crowd context.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Rendering", "reason_1": "Video 1 utilizes a flat, cel-shaded anime style which lacks texture depth.", "reason_2": "Video 2 achieves high-quality photorealism with realistic lighting, skin textures, and fabric details.", "score_1": 2, "score_2": 8}, {"name": "Motion Fluidity & Physics", "reason_1": "The motion in Video 1 is stiff and jerky, typical of lower-frame-rate animation.", "reason_2": "Video 2 displays smooth, natural human movement and realistic momentum during the physical interaction.", "score_1": 3, "score_2": 7}, {"name": "Subject Identity Persistence", "reason_1": "The anime characters maintain their design consistency throughout the clip.", "reason_2": "The photorealistic subjects maintain their facial features and clothing details consistently.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior technical execution with photorealistic rendering and fluid motion, whereas Video 1 is limited by its stylized, lower-frame-rate animation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Dynamics (Zoom & Focus)", "reason_1": "Video 1 uses a static camera angle that fails to execute the requested 'zoom in on their faces'.", "reason_2": "Video 2 executes a dynamic camera push/zoom that effectively heightens the tension and focuses on the subjects.", "score_1": 2, "score_2": 8}, {"name": "Emotional Intensity & Atmosphere", "reason_1": "The anime style creates a somewhat detached emotional tone; the expressions are generic.", "reason_2": "The realistic acting and close-up framing successfully convey the 'raw emotion and anger' requested.", "score_1": 3, "score_2": 7}, {"name": "Narrative Pacing & Impact", "reason_1": "The pacing is slow and the climax feels underwhelming due to the lack of dynamic movement.", "reason_2": "The clip builds tension effectively, culminating in a sudden, impactful physical clash.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 excels in cinematic presentation, utilizing camera movement to enhance the emotional intensity, which was a specific requirement of the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior photorealistic quality, dynamic camera work, and accurate depiction of the physical escalation described in the prompt. While Video 1 adheres to the basic semantic elements in an anime style, it lacks the requested camera zoom and the visceral intensity of the confrontation. Video 2 successfully captures the 'raw emotion' and 'charged atmosphere' through realistic acting and cinematic framing.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 30.0, "total_score_2": 60.0, "elapsed_sec": 54.692} +{"pair_id": "066_seed_930", "sample_index": 66, "seed": 930, "prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 accurately renders the red hoodie and black jacket with realistic textures and lighting.\", \"reason_2\": \"Video 2 correctly identifies the clothing colors but renders them in a flat, simplified anime style.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Escalation (Verbal to Physical)\", \"reason_1\": \"Video 1 depicts a clear progression from a tense standoff to physical shoving, matching the prompt's narrative arc.\", \"reason_2\": \"Video 2 shows the characters in a static grappling pose with almost no movement or escalation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Bustling Hallway)\", \"reason_1\": \"Video 1 creates a convincing 3D space with depth, lockers, and a crowd that feels like a real school hallway.\", \"reason_2\": \"Video 2 presents a flat, 2D background that lacks the depth and 'bustling' atmosphere requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 better captures the 'bustling' nature of the environment and the specific action of 'pushing' described in the prompt, whereas Video 2 is static.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Fluidity & Frame Rate\", \"reason_1\": \"Video 1 features smooth, continuous motion consistent with high-quality video generation.\", \"reason_2\": \"Video 2 has a very low frame rate, resembling a slideshow of keyframes rather than a fluid video.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Morphological Stability\", \"reason_1\": \"Video 1 suffers from severe distortion; faces melt and limbs warp unnaturally during the movement.\", \"reason_2\": \"Video 2 maintains consistent character shapes and lines, largely due to its lack of complex motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Texture Detail\", \"reason_1\": \"Video 1 offers high-resolution textures, realistic lighting, and detailed clothing materials.\", \"reason_2\": \"Video 2 uses a simple, flat-shaded anime style with minimal texture detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Despite significant morphing issues, Video 1 provides actual video motion and high visual fidelity, whereas Video 2 is essentially a low-frame-rate animation.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Dynamics (Zoom & Tracking)\", \"reason_1\": \"Video 1 executes the requested 'zoom in' effectively, moving closer to the subjects to heighten intensity.\", \"reason_2\": \"Video 2 utilizes a completely static camera angle with no zoom or movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Intensity & Mood\", \"reason_1\": \"The lighting, depth of field, and motion in Video 1 successfully evoke a tense, dramatic atmosphere.\", \"reason_2\": \"The flat lighting and static nature of Video 2 fail to convey the 'raw emotion' or 'charged atmosphere' effectively.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Pacing\", \"reason_1\": \"Video 1 has a clear beginning, middle, and end, following the escalation of the fight.\", \"reason_2\": \"Video 2 feels like a single frozen moment in time rather than a developing narrative.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 follows the cinematic instructions (zoom, intensity) much better than the static framing of Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the superior generation because it successfully creates a dynamic video sequence with fluid motion, realistic lighting, and the specific camera movement (zoom) requested in the prompt. While it suffers from some morphological instability (warping faces), it captures the 'bustling' atmosphere and the escalation of the conflict far better than Video 2. Video 2, while stylistically consistent as an anime clip, lacks significant motion, appearing more like a slideshow of static frames, and fails to execute the requested camera zoom or the dynamic physical interaction.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 accurately renders the red hoodie and black jacket with realistic textures and lighting.", "reason_2": "Video 2 correctly identifies the clothing colors but renders them in a flat, simplified anime style.", "score_1": 6, "score_2": 4}, {"name": "Action Escalation (Verbal to Physical)", "reason_1": "Video 1 depicts a clear progression from a tense standoff to physical shoving, matching the prompt's narrative arc.", "reason_2": "Video 2 shows the characters in a static grappling pose with almost no movement or escalation.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Bustling Hallway)", "reason_1": "Video 1 creates a convincing 3D space with depth, lockers, and a crowd that feels like a real school hallway.", "reason_2": "Video 2 presents a flat, 2D background that lacks the depth and 'bustling' atmosphere requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 better captures the 'bustling' nature of the environment and the specific action of 'pushing' described in the prompt, whereas Video 2 is static.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Fluidity & Frame Rate", "reason_1": "Video 1 features smooth, continuous motion consistent with high-quality video generation.", "reason_2": "Video 2 has a very low frame rate, resembling a slideshow of keyframes rather than a fluid video.", "score_1": 9, "score_2": 1}, {"name": "Subject Morphological Stability", "reason_1": "Video 1 suffers from severe distortion; faces melt and limbs warp unnaturally during the movement.", "reason_2": "Video 2 maintains consistent character shapes and lines, largely due to its lack of complex motion.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Texture Detail", "reason_1": "Video 1 offers high-resolution textures, realistic lighting, and detailed clothing materials.", "reason_2": "Video 2 uses a simple, flat-shaded anime style with minimal texture detail.", "score_1": 8, "score_2": 2}], "cat_reason": "Despite significant morphing issues, Video 1 provides actual video motion and high visual fidelity, whereas Video 2 is essentially a low-frame-rate animation.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Dynamics (Zoom & Tracking)", "reason_1": "Video 1 executes the requested 'zoom in' effectively, moving closer to the subjects to heighten intensity.", "reason_2": "Video 2 utilizes a completely static camera angle with no zoom or movement.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Intensity & Mood", "reason_1": "The lighting, depth of field, and motion in Video 1 successfully evoke a tense, dramatic atmosphere.", "reason_2": "The flat lighting and static nature of Video 2 fail to convey the 'raw emotion' or 'charged atmosphere' effectively.", "score_1": 8, "score_2": 2}, {"name": "Narrative Pacing", "reason_1": "Video 1 has a clear beginning, middle, and end, following the escalation of the fight.", "reason_2": "Video 2 feels like a single frozen moment in time rather than a developing narrative.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 follows the cinematic instructions (zoom, intensity) much better than the static framing of Video 2.", "cat_winner": "Video 1"}], "reason": "Video 1 is the superior generation because it successfully creates a dynamic video sequence with fluid motion, realistic lighting, and the specific camera movement (zoom) requested in the prompt. While it suffers from some morphological instability (warping faces), it captures the 'bustling' atmosphere and the escalation of the conflict far better than Video 2. Video 2, while stylistically consistent as an anime clip, lacks significant motion, appearing more like a slideshow of static frames, and fails to execute the requested camera zoom or the dynamic physical interaction.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 64.0, "total_score_2": 26.0, "elapsed_sec": 58.332} +{"pair_id": "067_seed_42", "sample_index": 67, "seed": 42, "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Climbing & Navigating)\", \"reason_1\": \"Video 1 explicitly shows the children stepping up onto and climbing over debris and machinery, perfectly matching the prompt's instruction to 'climb over piles of debris'.\", \"reason_2\": \"Video 2 shows the children walking on a flat surface, completely ignoring the instruction to climb or navigate precarious structures.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Complexity (Rusted Machinery)\", \"reason_1\": \"The environment in Video 1 is dense with large, rusted industrial shapes that the children interact with physically, creating a true sense of an 'abandoned industrial site'.\", \"reason_2\": \"Video 2 features a generic background with some pipes, but the children do not interact with the environment, making the setting feel like a backdrop rather than a place to explore.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Colorful Clothes)\", \"reason_1\": \"Video 1 features distinct, vibrant clothing (purple, yellow) that stands out against the rusted background, aligning well with the 'colorful clothes' requirement.\", \"reason_2\": \"Video 2 also features colorful clothes, but the colors are slightly muddier and less distinct against the background compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately depicts the specific actions and environmental interactions requested, whereas Video 2 fails to show the children climbing or navigating complex structures.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial & Anatomical Stability\", \"reason_1\": \"While faces in Video 1 are somewhat distorted, they maintain a basic human structure throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe facial hallucinations; the children's faces melt, disappear, or look like distorted masks, creating a disturbing uncanny valley effect.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Physical Interaction & Grounding\", \"reason_1\": \"The subjects in Video 1 have weight; they step on objects, and their bodies react to the uneven terrain.\", \"reason_2\": \"The subjects in Video 2 appear to float or slide over the ground without realistic weight distribution or interaction with the floor.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"The movement in Video 1 is relatively smooth and consistent with the walking/climbing action.\", \"reason_2\": \"Video 2 has a jerky, stop-motion quality to the movement, making the characters look stiff and artificial.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains better structural integrity of the subjects and realistic physics, while Video 2 suffers from severe facial distortions and 'floating' motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Dynamics (Capturing Every Move)\", \"reason_1\": \"Video 1 utilizes a dynamic camera that tracks the children's movement through the space, fulfilling the prompt's request to 'capture their every move'.\", \"reason_2\": \"Video 2 uses a static, wide shot that feels distant and detached, failing to capture the energy of the exploration.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Lighting (Sun & Shadows)\", \"reason_1\": \"Video 1 features strong directional lighting that casts the 'long shadows' mentioned in the prompt, enhancing the depth and mood.\", \"reason_2\": \"Video 2 has flat, even lighting that lacks the dramatic contrast and shadows requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Immersion (Adventurous Spirit)\", \"reason_1\": \"The combination of climbing, camera movement, and setting in Video 1 successfully evokes a sense of adventure and curiosity.\", \"reason_2\": \"Due to the static camera and lack of interaction, Video 2 feels like a passive observation rather than an immersive adventure.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the adventurous spirit through dynamic camera work and lighting, whereas Video 2 is static and visually flat.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the complex physical interactions described in the prompt, specifically the children climbing over debris and navigating a cluttered environment. It also features dynamic camera movement that enhances the sense of exploration. Video 2, while showing children in an industrial setting, fails to depict the climbing action, suffers from severe facial distortions, and utilizes a static camera angle that lacks the requested immersive quality.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Climbing & Navigating)", "reason_1": "Video 1 explicitly shows the children stepping up onto and climbing over debris and machinery, perfectly matching the prompt's instruction to 'climb over piles of debris'.", "reason_2": "Video 2 shows the children walking on a flat surface, completely ignoring the instruction to climb or navigate precarious structures.", "score_1": 9, "score_2": 1}, {"name": "Environmental Complexity (Rusted Machinery)", "reason_1": "The environment in Video 1 is dense with large, rusted industrial shapes that the children interact with physically, creating a true sense of an 'abandoned industrial site'.", "reason_2": "Video 2 features a generic background with some pipes, but the children do not interact with the environment, making the setting feel like a backdrop rather than a place to explore.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Colorful Clothes)", "reason_1": "Video 1 features distinct, vibrant clothing (purple, yellow) that stands out against the rusted background, aligning well with the 'colorful clothes' requirement.", "reason_2": "Video 2 also features colorful clothes, but the colors are slightly muddier and less distinct against the background compared to Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately depicts the specific actions and environmental interactions requested, whereas Video 2 fails to show the children climbing or navigating complex structures.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial & Anatomical Stability", "reason_1": "While faces in Video 1 are somewhat distorted, they maintain a basic human structure throughout the clip.", "reason_2": "Video 2 suffers from severe facial hallucinations; the children's faces melt, disappear, or look like distorted masks, creating a disturbing uncanny valley effect.", "score_1": 7, "score_2": 3}, {"name": "Physical Interaction & Grounding", "reason_1": "The subjects in Video 1 have weight; they step on objects, and their bodies react to the uneven terrain.", "reason_2": "The subjects in Video 2 appear to float or slide over the ground without realistic weight distribution or interaction with the floor.", "score_1": 8, "score_2": 2}, {"name": "Motion Fluidity", "reason_1": "The movement in Video 1 is relatively smooth and consistent with the walking/climbing action.", "reason_2": "Video 2 has a jerky, stop-motion quality to the movement, making the characters look stiff and artificial.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains better structural integrity of the subjects and realistic physics, while Video 2 suffers from severe facial distortions and 'floating' motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Dynamics (Capturing Every Move)", "reason_1": "Video 1 utilizes a dynamic camera that tracks the children's movement through the space, fulfilling the prompt's request to 'capture their every move'.", "reason_2": "Video 2 uses a static, wide shot that feels distant and detached, failing to capture the energy of the exploration.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Lighting (Sun & Shadows)", "reason_1": "Video 1 features strong directional lighting that casts the 'long shadows' mentioned in the prompt, enhancing the depth and mood.", "reason_2": "Video 2 has flat, even lighting that lacks the dramatic contrast and shadows requested by the prompt.", "score_1": 8, "score_2": 2}, {"name": "Narrative Immersion (Adventurous Spirit)", "reason_1": "The combination of climbing, camera movement, and setting in Video 1 successfully evokes a sense of adventure and curiosity.", "reason_2": "Due to the static camera and lack of interaction, Video 2 feels like a passive observation rather than an immersive adventure.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the adventurous spirit through dynamic camera work and lighting, whereas Video 2 is static and visually flat.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the complex physical interactions described in the prompt, specifically the children climbing over debris and navigating a cluttered environment. It also features dynamic camera movement that enhances the sense of exploration. Video 2, while showing children in an industrial setting, fails to depict the climbing action, suffers from severe facial distortions, and utilizes a static camera angle that lacks the requested immersive quality.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 61.838} +{"pair_id": "067_seed_310", "sample_index": 67, "seed": 310, "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_310_A group of adventurous children wearing colorful c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_310_A group of adventurous children wearing colorful c.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_310_A group of adventurous children wearing colorful c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_310_A group of adventurous children wearing colorful c.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Quantity & Group Dynamics\", \"reason_1\": \"Video 1 depicts only two children, which is a minimal interpretation of a 'group'.\", \"reason_2\": \"Video 2 depicts a larger group of four children, aligning much better with the prompt's request for a 'group'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Detail (Rust & Machinery)\", \"reason_1\": \"The environment is present but lacks definition; the machinery is blurry and indistinct.\", \"reason_2\": \"The video renders specific textures of rusted metal, industrial pipes, and debris with high clarity, matching the 'abandoned industrial site' description perfectly.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Fidelity (Colorful Clothes)\", \"reason_1\": \"The clothing colors are washed out and blend into the background due to low contrast.\", \"reason_2\": \"The children wear distinct, vibrant colors (neon green, pink, blue) that pop against the rusty background, fulfilling the 'colorful clothes' requirement.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 better captures the 'group' aspect and the specific environmental details requested, such as the rusted machinery and colorful clothing, which are rendered with much higher clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and low-resolution, making it difficult to discern details.\", \"reason_2\": \"The image is crisp, sharp, and high-resolution, allowing for clear visibility of textures and facial features.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The children's faces and bodies morph and distort significantly as they move.\", \"reason_2\": \"The children maintain their general form and identity throughout the clip, with only minor inconsistencies.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The motion is jerky and the camera movement feels unstable and unintentional.\", \"reason_2\": \"The camera tracks the subjects smoothly, and the walking motion is relatively fluid.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior in every aspect, offering a sharp, stable image compared to the blurry and unstable output of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Lighting & Shadow Contrast\", \"reason_1\": \"Lighting is flat and dull, failing to capture the 'sun casts long shadows' aspect effectively.\", \"reason_2\": \"The video features strong directional lighting that creates distinct shadows, enhancing the depth and mood as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is tight and claustrophobic, often cutting off parts of the subjects or the environment awkwardly.\", \"reason_2\": \"The wide shot effectively establishes the scale of the industrial site relative to the children, creating a better sense of exploration.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Mood (Innocence vs. Peril)\", \"reason_1\": \"The low quality creates an unintentional eerie or glitchy mood rather than one of wonder.\", \"reason_2\": \"The bright colors against the decaying background successfully evoke the contrast between the children's innocence and the harsh environment.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully creates the requested atmosphere through better lighting and composition, whereas Video 1 feels accidental and poorly framed.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, subject consistency, and environmental detail. While Video 1 suffers from severe blurriness, low resolution, and significant morphological distortion of the subjects, Video 2 presents a sharp, high-definition scene with a clearly defined group of children and a detailed industrial background. Video 2 also captures the lighting and color contrast requested in the prompt much more effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Quantity & Group Dynamics", "reason_1": "Video 1 depicts only two children, which is a minimal interpretation of a 'group'.", "reason_2": "Video 2 depicts a larger group of four children, aligning much better with the prompt's request for a 'group'.", "score_1": 3, "score_2": 7}, {"name": "Environmental Detail (Rust & Machinery)", "reason_1": "The environment is present but lacks definition; the machinery is blurry and indistinct.", "reason_2": "The video renders specific textures of rusted metal, industrial pipes, and debris with high clarity, matching the 'abandoned industrial site' description perfectly.", "score_1": 2, "score_2": 8}, {"name": "Attribute Fidelity (Colorful Clothes)", "reason_1": "The clothing colors are washed out and blend into the background due to low contrast.", "reason_2": "The children wear distinct, vibrant colors (neon green, pink, blue) that pop against the rusty background, fulfilling the 'colorful clothes' requirement.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 better captures the 'group' aspect and the specific environmental details requested, such as the rusted machinery and colorful clothing, which are rendered with much higher clarity.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and low-resolution, making it difficult to discern details.", "reason_2": "The image is crisp, sharp, and high-resolution, allowing for clear visibility of textures and facial features.", "score_1": 1, "score_2": 9}, {"name": "Subject Identity Persistence", "reason_1": "The children's faces and bodies morph and distort significantly as they move.", "reason_2": "The children maintain their general form and identity throughout the clip, with only minor inconsistencies.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Stability", "reason_1": "The motion is jerky and the camera movement feels unstable and unintentional.", "reason_2": "The camera tracks the subjects smoothly, and the walking motion is relatively fluid.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior in every aspect, offering a sharp, stable image compared to the blurry and unstable output of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Lighting & Shadow Contrast", "reason_1": "Lighting is flat and dull, failing to capture the 'sun casts long shadows' aspect effectively.", "reason_2": "The video features strong directional lighting that creates distinct shadows, enhancing the depth and mood as requested.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is tight and claustrophobic, often cutting off parts of the subjects or the environment awkwardly.", "reason_2": "The wide shot effectively establishes the scale of the industrial site relative to the children, creating a better sense of exploration.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Mood (Innocence vs. Peril)", "reason_1": "The low quality creates an unintentional eerie or glitchy mood rather than one of wonder.", "reason_2": "The bright colors against the decaying background successfully evoke the contrast between the children's innocence and the harsh environment.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully creates the requested atmosphere through better lighting and composition, whereas Video 1 feels accidental and poorly framed.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, subject consistency, and environmental detail. While Video 1 suffers from severe blurriness, low resolution, and significant morphological distortion of the subjects, Video 2 presents a sharp, high-definition scene with a clearly defined group of children and a detailed industrial background. Video 2 also captures the lighting and color contrast requested in the prompt much more effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 22.0, "total_score_2": 68.0, "elapsed_sec": 55.465} +{"pair_id": "067_seed_930", "sample_index": 67, "seed": 930, "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Climbing & Navigating)\", \"reason_1\": \"Video 1 clearly depicts the children climbing over a large piece of machinery, directly fulfilling the prompt's instruction to 'climb over piles of debris'.\", \"reason_2\": \"Video 2 shows the children mostly standing or walking near debris, lacking the specific climbing interaction requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Dust & Decay)\", \"reason_1\": \"Video 1 successfully renders a hazy, dusty atmosphere that aligns with the prompt's description of 'air filled with dust' and 'echoes of the past'.\", \"reason_2\": \"Video 2 presents a very clean, bright, and sharp environment that lacks the gritty, abandoned industrial texture described.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Attributes (Colorful Clothes)\", \"reason_1\": \"Video 1 features children in bright yellow and blue clothing, satisfying the 'colorful clothes' requirement.\", \"reason_2\": \"Video 2 also features distinct colorful clothing (pink, blue, green), meeting the basic attribute requirement equally well.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 captures the specific actions and atmospheric details of the prompt much better than Video 2, particularly the climbing action and the dusty environment.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The children in Video 1 maintain their general appearance and clothing throughout the clip, despite some facial distortion.\", \"reason_2\": \"Video 2 suffers from severe identity loss; the child in the red shirt morphs into a child in a blue shirt and plaid pattern within seconds.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 struggles with facial anatomy, resulting in distorted features, but the bodies remain largely separate.\", \"reason_2\": \"Video 2 exhibits severe 'melting' artifacts where the children's limbs and bodies merge into the background machinery.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The climbing motion in Video 1 has a sense of weight and interaction with the object, even if slightly floaty.\", \"reason_2\": \"The motion in Video 2 is disjointed, with characters appearing to slide or glitch rather than walk naturally.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"While both videos suffer from AI artifacts, Video 1 maintains subject identity far better than Video 2, which exhibits severe hallucinations and object merging.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Capturing Every Move)\", \"reason_1\": \"Video 1 utilizes a dynamic tracking shot that follows the children as they climb, perfectly matching the prompt's request to 'capture their every move'.\", \"reason_2\": \"Video 2 uses a static or slightly panning shot that feels passive and fails to engage with the subjects' movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Shadow Contrast\", \"reason_1\": \"Video 1 features strong directional sunlight that casts the 'long shadows' mentioned in the prompt, creating depth.\", \"reason_2\": \"Video 2 has flat, even lighting that lacks the dramatic contrast and shadow play requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Immersion (Adventure)\", \"reason_1\": \"The composition and action in Video 1 successfully convey a sense of adventure and exploration.\", \"reason_2\": \"Video 2 feels more like a random collection of frames without a clear narrative thread or sense of exploration.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 employs a dynamic camera style that enhances the narrative of exploration, whereas Video 2 is static and visually flatter.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior adherence to the prompt's action and atmospheric requirements. It successfully depicts the children actively 'climbing' and 'navigating' the environment with a dynamic camera that follows their movement, whereas Video 2 is largely static. Furthermore, Video 1 maintains better subject consistency, whereas Video 2 suffers from severe identity morphing where children's clothing and features change drastically between frames.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Climbing & Navigating)", "reason_1": "Video 1 clearly depicts the children climbing over a large piece of machinery, directly fulfilling the prompt's instruction to 'climb over piles of debris'.", "reason_2": "Video 2 shows the children mostly standing or walking near debris, lacking the specific climbing interaction requested.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Dust & Decay)", "reason_1": "Video 1 successfully renders a hazy, dusty atmosphere that aligns with the prompt's description of 'air filled with dust' and 'echoes of the past'.", "reason_2": "Video 2 presents a very clean, bright, and sharp environment that lacks the gritty, abandoned industrial texture described.", "score_1": 7, "score_2": 3}, {"name": "Subject Attributes (Colorful Clothes)", "reason_1": "Video 1 features children in bright yellow and blue clothing, satisfying the 'colorful clothes' requirement.", "reason_2": "Video 2 also features distinct colorful clothing (pink, blue, green), meeting the basic attribute requirement equally well.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 captures the specific actions and atmospheric details of the prompt much better than Video 2, particularly the climbing action and the dusty environment.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The children in Video 1 maintain their general appearance and clothing throughout the clip, despite some facial distortion.", "reason_2": "Video 2 suffers from severe identity loss; the child in the red shirt morphs into a child in a blue shirt and plaid pattern within seconds.", "score_1": 7, "score_2": 3}, {"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 struggles with facial anatomy, resulting in distorted features, but the bodies remain largely separate.", "reason_2": "Video 2 exhibits severe 'melting' artifacts where the children's limbs and bodies merge into the background machinery.", "score_1": 6, "score_2": 4}, {"name": "Motion Physics & Grounding", "reason_1": "The climbing motion in Video 1 has a sense of weight and interaction with the object, even if slightly floaty.", "reason_2": "The motion in Video 2 is disjointed, with characters appearing to slide or glitch rather than walk naturally.", "score_1": 6, "score_2": 4}], "cat_reason": "While both videos suffer from AI artifacts, Video 1 maintains subject identity far better than Video 2, which exhibits severe hallucinations and object merging.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Capturing Every Move)", "reason_1": "Video 1 utilizes a dynamic tracking shot that follows the children as they climb, perfectly matching the prompt's request to 'capture their every move'.", "reason_2": "Video 2 uses a static or slightly panning shot that feels passive and fails to engage with the subjects' movement.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Shadow Contrast", "reason_1": "Video 1 features strong directional sunlight that casts the 'long shadows' mentioned in the prompt, creating depth.", "reason_2": "Video 2 has flat, even lighting that lacks the dramatic contrast and shadow play requested.", "score_1": 8, "score_2": 2}, {"name": "Narrative Immersion (Adventure)", "reason_1": "The composition and action in Video 1 successfully convey a sense of adventure and exploration.", "reason_2": "Video 2 feels more like a random collection of frames without a clear narrative thread or sense of exploration.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 employs a dynamic camera style that enhances the narrative of exploration, whereas Video 2 is static and visually flatter.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior adherence to the prompt's action and atmospheric requirements. It successfully depicts the children actively 'climbing' and 'navigating' the environment with a dynamic camera that follows their movement, whereas Video 2 is largely static. Furthermore, Video 1 maintains better subject consistency, whereas Video 2 suffers from severe identity morphing where children's clothing and features change drastically between frames.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 57.12} +{"pair_id": "068_seed_42", "sample_index": 68, "seed": 42, "prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_42_In a bustling metropolis the camera captures the h.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_42_In a bustling metropolis the camera captures the h.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_42_In a bustling metropolis the camera captures the h.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_42_In a bustling metropolis the camera captures the h.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition & Role Clarity\", \"reason_1\": \"Video 1 clearly distinguishes between the soldier in the foreground and the opposing forces in the background, maintaining their structural integrity.\", \"reason_2\": \"Video 2 fails to define the subjects; the 'rebels' and 'soldiers' are amorphous blobs that merge into the environment and lack distinct human anatomy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Smoke & Fire)\", \"reason_1\": \"Video 1 accurately renders the 'dark haze' and smoke billowing from the background, creating a convincing war-torn atmosphere.\", \"reason_2\": \"Video 2 attempts to show fire, but the smoke and lighting effects are inconsistent and blend poorly with the melting geometry of the buildings.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Logic (Clashes & Movement)\", \"reason_1\": \"The movement in Video 1 implies a tactical engagement with logical positioning and aiming.\", \"reason_2\": \"The movement in Video 2 is nonsensical; figures slide and morph rather than walk or fight, breaking all semantic logic of a 'clash'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully establishes the chaotic battlefield environment with distinct factions and atmospheric smoke. Video 2 fails to render distinct subjects, resulting in a confused visual where rebels and soldiers are indistinguishable from the melting background.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The subjects in Video 1 maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' artifacts; the soldier's face and body distort grotesquely, and background figures lose their form entirely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Detail\", \"reason_1\": \"Textures on the uniforms and rubble are sharp and realistic, resembling high-quality footage.\", \"reason_2\": \"The image is blurry and muddy, with textures that look like smeared paint rather than realistic materials.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and grounded, respecting the weight of the soldiers and the environment.\", \"reason_2\": \"Motion is jerky and unnatural, with characters appearing to float or glitch through the terrain.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is stable and clear, while Video 2 is plagued by severe artifacts, warping, and a complete lack of temporal consistency.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a strong over-the-shoulder perspective that immerses the viewer in the action, effectively framing the chaos ahead.\", \"reason_2\": \"Video 2 has a confused composition where the focal point is unclear and the framing is ruined by the distortion of the subject.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Tension & Chaos)\", \"reason_1\": \"The color grading and haze in Video 1 successfully evoke the 'palpable tension' and 'turmoil' described in the prompt.\", \"reason_2\": \"The bright, washed-out colors and glitchy visuals in Video 2 fail to convey any serious mood or tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Legibility\", \"reason_1\": \"The scene is immediately readable as a combat scenario in a ruined city.\", \"reason_2\": \"It is difficult to discern what is happening in Video 2 due to the visual noise and lack of object permanence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 employs a cinematic 'over-the-shoulder' perspective that effectively conveys the tension of the prompt. Video 2 lacks aesthetic coherence due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates superior generation quality with high temporal stability, realistic textures, and coherent subject motion. It successfully depicts a chaotic battlefield with clear distinction between the soldier and the environment. In contrast, Video 2 suffers from severe morphological instability, where subjects and background elements melt and distort significantly, failing to maintain basic visual integrity or narrative clarity.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition & Role Clarity", "reason_1": "Video 1 clearly distinguishes between the soldier in the foreground and the opposing forces in the background, maintaining their structural integrity.", "reason_2": "Video 2 fails to define the subjects; the 'rebels' and 'soldiers' are amorphous blobs that merge into the environment and lack distinct human anatomy.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Smoke & Fire)", "reason_1": "Video 1 accurately renders the 'dark haze' and smoke billowing from the background, creating a convincing war-torn atmosphere.", "reason_2": "Video 2 attempts to show fire, but the smoke and lighting effects are inconsistent and blend poorly with the melting geometry of the buildings.", "score_1": 8, "score_2": 2}, {"name": "Action Logic (Clashes & Movement)", "reason_1": "The movement in Video 1 implies a tactical engagement with logical positioning and aiming.", "reason_2": "The movement in Video 2 is nonsensical; figures slide and morph rather than walk or fight, breaking all semantic logic of a 'clash'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully establishes the chaotic battlefield environment with distinct factions and atmospheric smoke. Video 2 fails to render distinct subjects, resulting in a confused visual where rebels and soldiers are indistinguishable from the melting background.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The subjects in Video 1 maintain their shape and volume consistently throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' artifacts; the soldier's face and body distort grotesquely, and background figures lose their form entirely.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Detail", "reason_1": "Textures on the uniforms and rubble are sharp and realistic, resembling high-quality footage.", "reason_2": "The image is blurry and muddy, with textures that look like smeared paint rather than realistic materials.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and grounded, respecting the weight of the soldiers and the environment.", "reason_2": "Motion is jerky and unnatural, with characters appearing to float or glitch through the terrain.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 is stable and clear, while Video 2 is plagued by severe artifacts, warping, and a complete lack of temporal consistency.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a strong over-the-shoulder perspective that immerses the viewer in the action, effectively framing the chaos ahead.", "reason_2": "Video 2 has a confused composition where the focal point is unclear and the framing is ruined by the distortion of the subject.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Tension & Chaos)", "reason_1": "The color grading and haze in Video 1 successfully evoke the 'palpable tension' and 'turmoil' described in the prompt.", "reason_2": "The bright, washed-out colors and glitchy visuals in Video 2 fail to convey any serious mood or tension.", "score_1": 9, "score_2": 1}, {"name": "Narrative Legibility", "reason_1": "The scene is immediately readable as a combat scenario in a ruined city.", "reason_2": "It is difficult to discern what is happening in Video 2 due to the visual noise and lack of object permanence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 employs a cinematic 'over-the-shoulder' perspective that effectively conveys the tension of the prompt. Video 2 lacks aesthetic coherence due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates superior generation quality with high temporal stability, realistic textures, and coherent subject motion. It successfully depicts a chaotic battlefield with clear distinction between the soldier and the environment. In contrast, Video 2 suffers from severe morphological instability, where subjects and background elements melt and distort significantly, failing to maintain basic visual integrity or narrative clarity.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 61.225} +{"pair_id": "068_seed_310", "sample_index": 68, "seed": 310, "prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_310_In a bustling metropolis the camera captures the h.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_310_In a bustling metropolis the camera captures the h.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_310_In a bustling metropolis the camera captures the h.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_310_In a bustling metropolis the camera captures the h.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Metropolis & Skyline)\", \"reason_1\": \"Video 1 depicts a narrow, enclosed street with no visible skyline, failing to capture the 'bustling metropolis' scale.\", \"reason_2\": \"Video 2 clearly displays a cityscape with high-rise buildings in the background, silhouetted against the smoke as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Specificity (Rebels & Scarves)\", \"reason_1\": \"Video 1 shows generic combatants; the specific detail of rebels with 'faces obscured by scarves' is not clearly distinguishable.\", \"reason_2\": \"Video 2 explicitly renders a group of figures with faces covered by scarves in the foreground, aligning perfectly with the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Logic (Clashes & Chaos)\", \"reason_1\": \"Video 1 captures the 'fierce clashes' and 'heart-pounding chaos' with dynamic movement and explosions.\", \"reason_2\": \"Video 2 is relatively static; the figures are posing rather than engaging in the active 'fierce clashes' described.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Key Object Presence (Burning Vehicles)\", \"reason_1\": \"Video 1 features a prominent burning vehicle in the foreground, matching the prompt's description of smoke billowing from vehicles.\", \"reason_2\": \"Video 2 includes a vehicle, but it is not clearly burning or emitting the heavy smoke described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 2 accurately renders the specific environmental and subject details requested, such as the skyline and the scarves, which Video 1 misses.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture detail on the uniforms and environment.\", \"reason_2\": \"The video is sharp, with high-definition textures on the rubble, uniforms, and background buildings.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability (Subject Consistency)\", \"reason_1\": \"The soldiers' faces and bodies warp and distort significantly during movement.\", \"reason_2\": \"The subjects maintain their form and identity consistently throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion is jerky and unnatural, with characters appearing to slide or float rather than run.\", \"reason_2\": \"The motion is limited but smooth and physically grounded, without the glitchy artifacts seen in Video 1.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, offering a sharp, stable image, whereas Video 1 suffers from severe blur and distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Dark Haze & Glow)\", \"reason_1\": \"Video 1 successfully creates a dark, hazy, and ominous atmosphere with fire lighting.\", \"reason_2\": \"Video 2 is too bright and evenly lit, lacking the 'ominous glow' and 'dark haze' requested.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The framing is tight and somewhat claustrophobic, lacking depth.\", \"reason_2\": \"The composition uses depth effectively, placing rebels in the foreground and the skyline in the background.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The scene is chaotic to the point of confusion; it is hard to distinguish specific narrative elements.\", \"reason_2\": \"The distinct separation of elements (rebels, soldier, city) makes the narrative scene easier to read.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a more composed and cinematic look with better depth, although Video 1 captures the 'dark' mood better.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly higher visual fidelity, stability, and semantic accuracy regarding the specific environmental and subject details (skyline, scarves). While Video 1 captures the chaotic atmosphere well, it suffers from severe morphological instability, low resolution, and fails to depict the requested cityscape context.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Metropolis & Skyline)", "reason_1": "Video 1 depicts a narrow, enclosed street with no visible skyline, failing to capture the 'bustling metropolis' scale.", "reason_2": "Video 2 clearly displays a cityscape with high-rise buildings in the background, silhouetted against the smoke as requested.", "score_1": 2, "score_2": 8}, {"name": "Subject Specificity (Rebels & Scarves)", "reason_1": "Video 1 shows generic combatants; the specific detail of rebels with 'faces obscured by scarves' is not clearly distinguishable.", "reason_2": "Video 2 explicitly renders a group of figures with faces covered by scarves in the foreground, aligning perfectly with the prompt.", "score_1": 3, "score_2": 7}, {"name": "Action Logic (Clashes & Chaos)", "reason_1": "Video 1 captures the 'fierce clashes' and 'heart-pounding chaos' with dynamic movement and explosions.", "reason_2": "Video 2 is relatively static; the figures are posing rather than engaging in the active 'fierce clashes' described.", "score_1": 7, "score_2": 3}, {"name": "Key Object Presence (Burning Vehicles)", "reason_1": "Video 1 features a prominent burning vehicle in the foreground, matching the prompt's description of smoke billowing from vehicles.", "reason_2": "Video 2 includes a vehicle, but it is not clearly burning or emitting the heavy smoke described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 2 accurately renders the specific environmental and subject details requested, such as the skyline and the scarves, which Video 1 misses.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video is blurry, low-resolution, and lacks texture detail on the uniforms and environment.", "reason_2": "The video is sharp, with high-definition textures on the rubble, uniforms, and background buildings.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability (Subject Consistency)", "reason_1": "The soldiers' faces and bodies warp and distort significantly during movement.", "reason_2": "The subjects maintain their form and identity consistently throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion is jerky and unnatural, with characters appearing to slide or float rather than run.", "reason_2": "The motion is limited but smooth and physically grounded, without the glitchy artifacts seen in Video 1.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, offering a sharp, stable image, whereas Video 1 suffers from severe blur and distortion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Dark Haze & Glow)", "reason_1": "Video 1 successfully creates a dark, hazy, and ominous atmosphere with fire lighting.", "reason_2": "Video 2 is too bright and evenly lit, lacking the 'ominous glow' and 'dark haze' requested.", "score_1": 7, "score_2": 3}, {"name": "Cinematic Composition & Depth", "reason_1": "The framing is tight and somewhat claustrophobic, lacking depth.", "reason_2": "The composition uses depth effectively, placing rebels in the foreground and the skyline in the background.", "score_1": 3, "score_2": 7}, {"name": "Narrative Clarity", "reason_1": "The scene is chaotic to the point of confusion; it is hard to distinguish specific narrative elements.", "reason_2": "The distinct separation of elements (rebels, soldier, city) makes the narrative scene easier to read.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a more composed and cinematic look with better depth, although Video 1 captures the 'dark' mood better.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly higher visual fidelity, stability, and semantic accuracy regarding the specific environmental and subject details (skyline, scarves). While Video 1 captures the chaotic atmosphere well, it suffers from severe morphological instability, low resolution, and fails to depict the requested cityscape context.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 41.0, "total_score_2": 59.0, "elapsed_sec": 62.075} +{"pair_id": "068_seed_930", "sample_index": 68, "seed": 930, "prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition & Attribute Fidelity\", \"reason_1\": \"Video 1 clearly renders soldiers with distinct uniforms, helmets, and weapons, aligning well with the 'government forces' description.\", \"reason_2\": \"Video 2 renders the subjects as amorphous, melting blobs where uniforms and weapons are indistinguishable from the background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Smoke & Fire)\", \"reason_1\": \"Video 1 successfully integrates the 'smoke billowing' and 'burning vehicles' into a coherent 3D space with realistic lighting interactions.\", \"reason_2\": \"Video 2 includes smoke and fire, but they appear as flat, low-resolution textures that do not interact realistically with the scene geometry.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Action Specificity\", \"reason_1\": \"While Video 1 misses the specific 'radio communication' and 'citizens scrambling' details, it successfully conveys the general action of a military engagement.\", \"reason_2\": \"Video 2 fails to convey any clear narrative action due to severe visual distortion, making it impossible to identify specific behaviors like strategizing or communicating.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 provides a recognizable depiction of the prompt's core elements (soldiers, burning vehicles, chaotic street), whereas Video 2's subjects are too distorted to be semantically valid.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Integrity)\", \"reason_1\": \"The soldiers in Video 1 maintain their human form and equipment shape throughout the clip.\", \"reason_2\": \"The subjects in Video 2 constantly morph, melt, and lose their structural integrity, resembling liquid rather than solid matter.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"Video 1 features sharp textures on the walls, vehicles, and uniforms, creating a convincing photorealistic look.\", \"reason_2\": \"Video 2 is blurry, washed out, and lacks distinct texture details, resembling a low-quality glitch.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The movement of the soldiers running in Video 1 follows basic biomechanical logic, despite some minor sliding.\", \"reason_2\": \"The motion in Video 2 is chaotic and unnatural, with figures gliding and warping rather than stepping.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains solid object permanence and high resolution, while Video 2 exhibits catastrophic failure in maintaining subject form.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 utilizes a strong perspective with foreground elements (soldiers) and background depth (buildings), creating a cinematic feel.\", \"reason_2\": \"Video 2 feels flat and cluttered, with poor separation between the subjects and the background environment.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone & Color Grading\", \"reason_1\": \"The color palette in Video 1 (dusty browns, orange fire glow) effectively evokes the 'ominous glow' and 'turmoil' described in the prompt.\", \"reason_2\": \"Video 2 has a washed-out, pinkish hue that fails to convey the dramatic tension or the specific lighting conditions requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually engaging and looks like a clip from a movie or high-end game.\", \"reason_2\": \"Video 2 is visually unpleasant due to the heavy artifacting and lack of clarity.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully creates a cinematic 'war movie' aesthetic with depth and atmosphere, whereas Video 2 lacks artistic merit due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its significantly higher visual fidelity, morphological stability, and cinematic presentation. While both videos struggle to capture the specific narrative nuances (such as the radio communication or distinct civilian reactions), Video 1 successfully renders a coherent, photorealistic war scene with recognizable soldiers and environmental details. Video 2 suffers from severe distortion, low resolution, and a lack of subject integrity, making the scene largely unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition & Attribute Fidelity", "reason_1": "Video 1 clearly renders soldiers with distinct uniforms, helmets, and weapons, aligning well with the 'government forces' description.", "reason_2": "Video 2 renders the subjects as amorphous, melting blobs where uniforms and weapons are indistinguishable from the background.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Smoke & Fire)", "reason_1": "Video 1 successfully integrates the 'smoke billowing' and 'burning vehicles' into a coherent 3D space with realistic lighting interactions.", "reason_2": "Video 2 includes smoke and fire, but they appear as flat, low-resolution textures that do not interact realistically with the scene geometry.", "score_1": 7, "score_2": 3}, {"name": "Narrative Action Specificity", "reason_1": "While Video 1 misses the specific 'radio communication' and 'citizens scrambling' details, it successfully conveys the general action of a military engagement.", "reason_2": "Video 2 fails to convey any clear narrative action due to severe visual distortion, making it impossible to identify specific behaviors like strategizing or communicating.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 provides a recognizable depiction of the prompt's core elements (soldiers, burning vehicles, chaotic street), whereas Video 2's subjects are too distorted to be semantically valid.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Integrity)", "reason_1": "The soldiers in Video 1 maintain their human form and equipment shape throughout the clip.", "reason_2": "The subjects in Video 2 constantly morph, melt, and lose their structural integrity, resembling liquid rather than solid matter.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Resolution", "reason_1": "Video 1 features sharp textures on the walls, vehicles, and uniforms, creating a convincing photorealistic look.", "reason_2": "Video 2 is blurry, washed out, and lacks distinct texture details, resembling a low-quality glitch.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence & Physics", "reason_1": "The movement of the soldiers running in Video 1 follows basic biomechanical logic, despite some minor sliding.", "reason_2": "The motion in Video 2 is chaotic and unnatural, with figures gliding and warping rather than stepping.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains solid object permanence and high resolution, while Video 2 exhibits catastrophic failure in maintaining subject form.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 utilizes a strong perspective with foreground elements (soldiers) and background depth (buildings), creating a cinematic feel.", "reason_2": "Video 2 feels flat and cluttered, with poor separation between the subjects and the background environment.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone & Color Grading", "reason_1": "The color palette in Video 1 (dusty browns, orange fire glow) effectively evokes the 'ominous glow' and 'turmoil' described in the prompt.", "reason_2": "Video 2 has a washed-out, pinkish hue that fails to convey the dramatic tension or the specific lighting conditions requested.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually engaging and looks like a clip from a movie or high-end game.", "reason_2": "Video 2 is visually unpleasant due to the heavy artifacting and lack of clarity.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully creates a cinematic 'war movie' aesthetic with depth and atmosphere, whereas Video 2 lacks artistic merit due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its significantly higher visual fidelity, morphological stability, and cinematic presentation. While both videos struggle to capture the specific narrative nuances (such as the radio communication or distinct civilian reactions), Video 1 successfully renders a coherent, photorealistic war scene with recognizable soldiers and environmental details. Video 2 suffers from severe distortion, low resolution, and a lack of subject integrity, making the scene largely unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 63.868} +{"pair_id": "069_seed_42", "sample_index": 69, "seed": 42, "prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_42_A tense scene unfolds on a bustling urban street w.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_42_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_42_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_42_A tense scene unfolds on a bustling urban street w.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Expression Fidelity (Anger & Hostility)\", \"reason_1\": \"Video 1 clearly depicts faces contorted in anger, shouting, and aggression, aligning perfectly with the prompt's description of the mob's emotion.\", \"reason_2\": \"Video 2 shows expressions of shock, confusion, or mild distress, but completely lacks the 'anger and hostility' explicitly requested for the mob.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Dynamics (Surging Forward)\", \"reason_1\": \"The subjects in Video 1 are actively moving forward and gesturing aggressively, creating the sense of a 'surge' described in the prompt.\", \"reason_2\": \"The crowd in Video 2 is largely static or shuffling slowly, failing to convey the kinetic energy of a surging mob.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Differentiation (Aggressors vs. Targeted)\", \"reason_1\": \"Video 1 fails to clearly distinguish a 'targeted group' from the 'aggressive mob'; it appears as a single unified group of angry men.\", \"reason_2\": \"Video 2 also fails to establish a clear narrative contrast between two opposing groups, presenting a homogenous crowd with ambiguous roles.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Narrow Alleyways)\", \"reason_1\": \"Video 1 depicts a narrow, bustling street that feels claustrophobic and tense, fitting the 'narrow alleyways' description well.\", \"reason_2\": \"Video 2 shows a narrow space, but the lighting is flatter and the environment feels less immersive and 'bustling' than Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 strongly adheres to the emotional and action-oriented keywords of the prompt, specifically 'aggressive mob', 'anger', and 'shouts', whereas Video 2 misses the mark on the intensity of the conflict.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Detail\", \"reason_1\": \"The video features sharp textures on the clothing and skin, with good contrast and lighting.\", \"reason_2\": \"The image is soft, washed out, and lacks fine detail, resembling a lower-resolution generation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Faces)\", \"reason_1\": \"Video 1 suffers from severe facial distortions and 'melting' features, particularly in the foreground subjects.\", \"reason_2\": \"Video 2 maintains slightly better structural integrity of the faces, though they still look somewhat artificial and plastic.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Fluidity & Coherence\", \"reason_1\": \"The motion is fluid and energetic, matching the chaotic nature of the scene.\", \"reason_2\": \"The motion is stiff and somewhat jerky, lacking the natural flow of a crowd in motion.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Despite significant morphological issues with faces, Video 1 offers superior visual clarity, texture detail, and motion fluidity compared to the softer, lower-resolution look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tension & Mood\", \"reason_1\": \"The video successfully evokes a 'thick with tension' atmosphere through aggressive body language and intense expressions.\", \"reason_2\": \"The mood is flat and confusing; it feels more like a passive gathering than a tense confrontation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The framing puts the viewer in the middle of the action, with good depth of field and foreground elements.\", \"reason_2\": \"The composition is flat and lacks dynamic framing, making the scene feel distant and unengaging.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Energy (Chaotic vs. Static)\", \"reason_1\": \"The clip feels like a snapshot of a larger, chaotic event, aligning with the narrative of a 'confrontation'.\", \"reason_2\": \"The clip lacks narrative drive; the characters are simply standing there, failing to tell the story of a conflict.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully establishes the 'tense' and 'chaotic' mood required by the prompt through better composition and color grading, whereas Video 2 feels emotionally flat.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the core emotional and kinetic requirements of the prompt—specifically the 'aggressive mob', 'anger', and 'chaotic energy'. While both videos struggle to clearly distinguish the 'targeted group' from the aggressors, Video 1 delivers the requested intensity, shouting, and forward surging motion. Video 2, by contrast, presents a static, confused crowd with low visual fidelity and fails to convey the hostility or tension described.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Expression Fidelity (Anger & Hostility)", "reason_1": "Video 1 clearly depicts faces contorted in anger, shouting, and aggression, aligning perfectly with the prompt's description of the mob's emotion.", "reason_2": "Video 2 shows expressions of shock, confusion, or mild distress, but completely lacks the 'anger and hostility' explicitly requested for the mob.", "score_1": 9, "score_2": 1}, {"name": "Action Dynamics (Surging Forward)", "reason_1": "The subjects in Video 1 are actively moving forward and gesturing aggressively, creating the sense of a 'surge' described in the prompt.", "reason_2": "The crowd in Video 2 is largely static or shuffling slowly, failing to convey the kinetic energy of a surging mob.", "score_1": 8, "score_2": 2}, {"name": "Subject Differentiation (Aggressors vs. Targeted)", "reason_1": "Video 1 fails to clearly distinguish a 'targeted group' from the 'aggressive mob'; it appears as a single unified group of angry men.", "reason_2": "Video 2 also fails to establish a clear narrative contrast between two opposing groups, presenting a homogenous crowd with ambiguous roles.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Narrow Alleyways)", "reason_1": "Video 1 depicts a narrow, bustling street that feels claustrophobic and tense, fitting the 'narrow alleyways' description well.", "reason_2": "Video 2 shows a narrow space, but the lighting is flatter and the environment feels less immersive and 'bustling' than Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 strongly adheres to the emotional and action-oriented keywords of the prompt, specifically 'aggressive mob', 'anger', and 'shouts', whereas Video 2 misses the mark on the intensity of the conflict.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Detail", "reason_1": "The video features sharp textures on the clothing and skin, with good contrast and lighting.", "reason_2": "The image is soft, washed out, and lacks fine detail, resembling a lower-resolution generation.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Faces)", "reason_1": "Video 1 suffers from severe facial distortions and 'melting' features, particularly in the foreground subjects.", "reason_2": "Video 2 maintains slightly better structural integrity of the faces, though they still look somewhat artificial and plastic.", "score_1": 4, "score_2": 6}, {"name": "Motion Fluidity & Coherence", "reason_1": "The motion is fluid and energetic, matching the chaotic nature of the scene.", "reason_2": "The motion is stiff and somewhat jerky, lacking the natural flow of a crowd in motion.", "score_1": 7, "score_2": 3}], "cat_reason": "Despite significant morphological issues with faces, Video 1 offers superior visual clarity, texture detail, and motion fluidity compared to the softer, lower-resolution look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tension & Mood", "reason_1": "The video successfully evokes a 'thick with tension' atmosphere through aggressive body language and intense expressions.", "reason_2": "The mood is flat and confusing; it feels more like a passive gathering than a tense confrontation.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition & Depth", "reason_1": "The framing puts the viewer in the middle of the action, with good depth of field and foreground elements.", "reason_2": "The composition is flat and lacks dynamic framing, making the scene feel distant and unengaging.", "score_1": 7, "score_2": 3}, {"name": "Narrative Energy (Chaotic vs. Static)", "reason_1": "The clip feels like a snapshot of a larger, chaotic event, aligning with the narrative of a 'confrontation'.", "reason_2": "The clip lacks narrative drive; the characters are simply standing there, failing to tell the story of a conflict.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully establishes the 'tense' and 'chaotic' mood required by the prompt through better composition and color grading, whereas Video 2 feels emotionally flat.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the core emotional and kinetic requirements of the prompt—specifically the 'aggressive mob', 'anger', and 'chaotic energy'. While both videos struggle to clearly distinguish the 'targeted group' from the aggressors, Video 1 delivers the requested intensity, shouting, and forward surging motion. Video 2, by contrast, presents a static, confused crowd with low visual fidelity and fails to convey the hostility or tension described.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 29.0, "elapsed_sec": 67.042} +{"pair_id": "069_seed_310", "sample_index": 69, "seed": 310, "prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_310_A tense scene unfolds on a bustling urban street w.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_310_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_310_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_310_A tense scene unfolds on a bustling urban street w.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Interaction Logic\", \"reason_1\": \"Video 1 clearly distinguishes between a central group (in red) and the surrounding crowd, creating the requested 'confrontation' dynamic.\", \"reason_2\": \"Video 2 presents a homogenous, chaotic mass of figures with no clear distinction between the 'group' and the 'mob', failing the prompt's narrative requirement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Fidelity (Fear vs. Anger)\", \"reason_1\": \"The subjects in Video 1 display readable expressions of distress, shouting, and anxiety, aligning well with the prompt's request for 'fear and resilience'.\", \"reason_2\": \"The faces in Video 2 are severely distorted and morphing, making it impossible to read specific emotions like 'resilience' or 'anxiety'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Narrow Alleyway)\", \"reason_1\": \"Video 1 depicts a convincing narrow urban alleyway with consistent architectural details.\", \"reason_2\": \"Video 2 suggests an alleyway, but the background is unstable and blends indistinguishably with the subjects.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully establishes the specific conflict described in the prompt, showing a distinct group facing a mob with appropriate emotional cues. Video 2 fails to distinguish the groups and lacks the specific emotional expressions required.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"Video 1 maintains the shape and structure of human faces and bodies reasonably well throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; faces and limbs constantly morph into one another, destroying realism.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The main characters in Video 1 remain recognizable as the same individuals from start to finish.\", \"reason_2\": \"Subjects in Video 2 change appearance rapidly, with hats and clothing shifting textures and shapes randomly.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The movement in Video 1, while slightly floaty, follows a logical path of a crowd surging forward.\", \"reason_2\": \"The motion in Video 2 is jittery and unnatural, with characters appearing to glitch rather than move physically.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid structural integrity, whereas Video 2 is plagued by severe artifacts, morphing, and loss of subject identity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Clarity & Tension\", \"reason_1\": \"The scene in Video 1 clearly conveys a story of a group being cornered and threatened, matching the 'tense scene' description.\", \"reason_2\": \"Video 2 is visually confusing and lacks a clear narrative thread due to the chaotic generation artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"Video 1 utilizes a camera angle that effectively captures the depth of the alley and the crowd's density.\", \"reason_2\": \"The framing in Video 2 is cluttered and unstable, failing to guide the viewer's eye to the key action.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Style & Color Harmony\", \"reason_1\": \"Video 1 features a distinct color palette (reds and whites) that helps separate the subjects visually.\", \"reason_2\": \"Video 2 has a muddy, washed-out look with poor contrast between the subjects and the background.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers a cinematic look with clear framing that supports the narrative of a standoff. Video 2 is visually messy and fails to convey a coherent story.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior temporal stability and semantic accuracy. It successfully depicts a distinct group facing a mob in a narrow alleyway with recognizable human expressions of fear and anger. Video 2 suffers from severe morphological instability, where faces and bodies melt and distort significantly, making the narrative and emotions difficult to discern.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Interaction Logic", "reason_1": "Video 1 clearly distinguishes between a central group (in red) and the surrounding crowd, creating the requested 'confrontation' dynamic.", "reason_2": "Video 2 presents a homogenous, chaotic mass of figures with no clear distinction between the 'group' and the 'mob', failing the prompt's narrative requirement.", "score_1": 8, "score_2": 2}, {"name": "Expression Fidelity (Fear vs. Anger)", "reason_1": "The subjects in Video 1 display readable expressions of distress, shouting, and anxiety, aligning well with the prompt's request for 'fear and resilience'.", "reason_2": "The faces in Video 2 are severely distorted and morphing, making it impossible to read specific emotions like 'resilience' or 'anxiety'.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Narrow Alleyway)", "reason_1": "Video 1 depicts a convincing narrow urban alleyway with consistent architectural details.", "reason_2": "Video 2 suggests an alleyway, but the background is unstable and blends indistinguishably with the subjects.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully establishes the specific conflict described in the prompt, showing a distinct group facing a mob with appropriate emotional cues. Video 2 fails to distinguish the groups and lacks the specific emotional expressions required.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Body)", "reason_1": "Video 1 maintains the shape and structure of human faces and bodies reasonably well throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; faces and limbs constantly morph into one another, destroying realism.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The main characters in Video 1 remain recognizable as the same individuals from start to finish.", "reason_2": "Subjects in Video 2 change appearance rapidly, with hats and clothing shifting textures and shapes randomly.", "score_1": 7, "score_2": 3}, {"name": "Motion Coherence & Physics", "reason_1": "The movement in Video 1, while slightly floaty, follows a logical path of a crowd surging forward.", "reason_2": "The motion in Video 2 is jittery and unnatural, with characters appearing to glitch rather than move physically.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid structural integrity, whereas Video 2 is plagued by severe artifacts, morphing, and loss of subject identity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Clarity & Tension", "reason_1": "The scene in Video 1 clearly conveys a story of a group being cornered and threatened, matching the 'tense scene' description.", "reason_2": "Video 2 is visually confusing and lacks a clear narrative thread due to the chaotic generation artifacts.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion & Framing", "reason_1": "Video 1 utilizes a camera angle that effectively captures the depth of the alley and the crowd's density.", "reason_2": "The framing in Video 2 is cluttered and unstable, failing to guide the viewer's eye to the key action.", "score_1": 7, "score_2": 3}, {"name": "Visual Style & Color Harmony", "reason_1": "Video 1 features a distinct color palette (reds and whites) that helps separate the subjects visually.", "reason_2": "Video 2 has a muddy, washed-out look with poor contrast between the subjects and the background.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers a cinematic look with clear framing that supports the narrative of a standoff. Video 2 is visually messy and fails to convey a coherent story.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior temporal stability and semantic accuracy. It successfully depicts a distinct group facing a mob in a narrow alleyway with recognizable human expressions of fear and anger. Video 2 suffers from severe morphological instability, where faces and bodies melt and distort significantly, making the narrative and emotions difficult to discern.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 59.763} +{"pair_id": "069_seed_930", "sample_index": 69, "seed": 930, "prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition & Attire Specificity\", \"reason_1\": \"Video 1 clearly renders individuals in traditional Korean-style Hanbok and headgear, maintaining distinct cultural symbols.\", \"reason_2\": \"Video 2 attempts traditional attire (turbans/shawls) but the clothing constantly morphs into skin or background elements, losing semantic meaning.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression of Hostility & Tension\", \"reason_1\": \"The subjects in Video 1 display readable expressions of shouting, anger, and shock, aligning well with the prompt's demand for 'contorted faces'.\", \"reason_2\": \"The expressions in Video 2 are grotesque distortions caused by low-quality generation rather than intentional emotional acting.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Narrow Alleyway)\", \"reason_1\": \"Video 1 depicts a coherent, albeit slightly stylized, narrow urban alleyway with consistent architecture.\", \"reason_2\": \"Video 2 suggests an alleyway but the background geometry is unstable and blends illogically with the crowd.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully renders distinct groups of people with specific traditional attire and clear facial expressions of anger and fear. Video 2 attempts the setting but fails to render distinct, logical subjects due to severe distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"Subjects in Video 1 maintain their shape and volume throughout the clip with minimal warping.\", \"reason_2\": \"Video 2 is plagued by constant morphing; faces melt, heads change shape, and bodies merge into one another.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity\", \"reason_1\": \"While there are minor imperfections, the human figures in Video 1 generally follow correct anatomical structure.\", \"reason_2\": \"Video 2 features severe anatomical horrors, including missing faces, extra limbs, and distorted skulls.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is relatively sharp and the details of the clothing and faces are discernible.\", \"reason_2\": \"The video is blurry, noisy, and lacks definition, making it difficult to distinguish specific details.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid temporal coherence, whereas Video 2 exhibits extreme 'melting' and hallucination artifacts typical of early-generation AI video.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a clear medium shot that frames the confrontation effectively, allowing the viewer to see the interaction.\", \"reason_2\": \"The framing in Video 2 is chaotic and cluttered, with no clear focal point due to the visual noise.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Readability\", \"reason_1\": \"The scene clearly conveys a story of a group being confronted in a street, matching the prompt's narrative arc.\", \"reason_2\": \"The narrative is lost entirely behind the visual artifacts; it is hard to tell what is happening beyond general chaos.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video has a consistent color palette and lighting style that resembles a period drama.\", \"reason_2\": \"The visual experience is unpleasant due to the grotesque distortions and lack of aesthetic direction.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a watchable, cinematic scene that resembles a historical drama. Video 2 fails to establish any aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior structural integrity and visual coherence. It successfully depicts a crowd scene with recognizable human anatomy, distinct traditional attire, and readable facial expressions that match the prompt's emotional requirements. Video 2, while attempting a similar setting, suffers from catastrophic morphological failure, with severe facial distortions, melting bodies, and a lack of temporal stability that renders the narrative unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition & Attire Specificity", "reason_1": "Video 1 clearly renders individuals in traditional Korean-style Hanbok and headgear, maintaining distinct cultural symbols.", "reason_2": "Video 2 attempts traditional attire (turbans/shawls) but the clothing constantly morphs into skin or background elements, losing semantic meaning.", "score_1": 8, "score_2": 2}, {"name": "Expression of Hostility & Tension", "reason_1": "The subjects in Video 1 display readable expressions of shouting, anger, and shock, aligning well with the prompt's demand for 'contorted faces'.", "reason_2": "The expressions in Video 2 are grotesque distortions caused by low-quality generation rather than intentional emotional acting.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Narrow Alleyway)", "reason_1": "Video 1 depicts a coherent, albeit slightly stylized, narrow urban alleyway with consistent architecture.", "reason_2": "Video 2 suggests an alleyway but the background geometry is unstable and blends illogically with the crowd.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully renders distinct groups of people with specific traditional attire and clear facial expressions of anger and fear. Video 2 attempts the setting but fails to render distinct, logical subjects due to severe distortion.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "Subjects in Video 1 maintain their shape and volume throughout the clip with minimal warping.", "reason_2": "Video 2 is plagued by constant morphing; faces melt, heads change shape, and bodies merge into one another.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity", "reason_1": "While there are minor imperfections, the human figures in Video 1 generally follow correct anatomical structure.", "reason_2": "Video 2 features severe anatomical horrors, including missing faces, extra limbs, and distorted skulls.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is relatively sharp and the details of the clothing and faces are discernible.", "reason_2": "The video is blurry, noisy, and lacks definition, making it difficult to distinguish specific details.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid temporal coherence, whereas Video 2 exhibits extreme 'melting' and hallucination artifacts typical of early-generation AI video.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a clear medium shot that frames the confrontation effectively, allowing the viewer to see the interaction.", "reason_2": "The framing in Video 2 is chaotic and cluttered, with no clear focal point due to the visual noise.", "score_1": 7, "score_2": 3}, {"name": "Narrative Readability", "reason_1": "The scene clearly conveys a story of a group being confronted in a street, matching the prompt's narrative arc.", "reason_2": "The narrative is lost entirely behind the visual artifacts; it is hard to tell what is happening beyond general chaos.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video has a consistent color palette and lighting style that resembles a period drama.", "reason_2": "The visual experience is unpleasant due to the grotesque distortions and lack of aesthetic direction.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a watchable, cinematic scene that resembles a historical drama. Video 2 fails to establish any aesthetic appeal due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior structural integrity and visual coherence. It successfully depicts a crowd scene with recognizable human anatomy, distinct traditional attire, and readable facial expressions that match the prompt's emotional requirements. Video 2, while attempting a similar setting, suffers from catastrophic morphological failure, with severe facial distortions, melting bodies, and a lack of temporal stability that renders the narrative unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 59.315} +{"pair_id": "070_seed_42", "sample_index": 70, "seed": 42, "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Specificity (Man & Woman)\", \"reason_1\": \"Video 1 clearly features the young man shouting and the woman nearby clutching a sign, matching the prompt's character descriptions perfectly.\", \"reason_2\": \"Video 2 generates a chaotic crowd where specific characters are indistinguishable; the 'woman clutching a sign' is not clearly identifiable.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Dynamics (Surge & Zoom)\", \"reason_1\": \"Video 1 is largely static and fails to execute the 'groups surge towards each other' or the 'camera zooming in' instruction.\", \"reason_2\": \"Video 2 successfully attempts the dynamic movement of the crowd surging forward and the camera zooming in, aligning well with the action verbs in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Prop & Attribute Fidelity (Banners/Signs)\", \"reason_1\": \"Video 1 renders distinct banners with contrasting colors and legible (though stylized) text, fulfilling the 'clashing messages' requirement.\", \"reason_2\": \"Video 2 renders flags that morph into the subjects' bodies and lacks distinct, readable signs or messages.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific characters and props described, whereas Video 2 fails to render the specific 'woman clutching a sign' and loses subject definition in the chaos.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face/Body)\", \"reason_1\": \"Video 1 maintains perfect structural integrity of the characters throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; faces distort grotesquely, and bodies merge with flags, breaking all realism.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is crisp, clean, and free of noise or compression artifacts.\", \"reason_2\": \"The video is blurry, noisy, and suffers from significant generation artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The main character's identity remains consistent from start to finish.\", \"reason_2\": \"The central figure in Video 2 changes appearance and facial structure multiple times within a few seconds.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 maintains perfect visual stability and clarity. Video 2 suffers from catastrophic failure in morphological stability, with faces and objects melting and distorting severely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression & Readability\", \"reason_1\": \"The expressions of determination and shouting are clearly readable and stylistically consistent.\", \"reason_2\": \"The intended emotions are lost behind the horror-like distortion of the faces.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced composition that clearly establishes the relationship between the two main characters and the crowd.\", \"reason_2\": \"Video 2's framing is chaotic and messy, making it difficult to understand the spatial relationships in the scene.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Stylistic Coherence\", \"reason_1\": \"Video 1 adheres to a consistent anime art style.\", \"reason_2\": \"Video 2 attempts photorealism but fails, resulting in a jarring and incoherent visual style.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 presents a coherent, aesthetically pleasing anime scene with clear emotional expression. Video 2's aesthetic is ruined by technical glitches, creating an unintentional horror effect.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, structural coherence, and accurate depiction of the specific subjects requested (the shouting man and the woman with the sign). While Video 2 attempts the dynamic camera movement and crowd surge described in the prompt, it suffers from severe morphological collapse, with faces melting and identities becoming unrecognizable. Video 1, despite being stylistically static (anime style), delivers a clean, readable, and emotionally resonant scene that aligns well with the character descriptions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Specificity (Man & Woman)", "reason_1": "Video 1 clearly features the young man shouting and the woman nearby clutching a sign, matching the prompt's character descriptions perfectly.", "reason_2": "Video 2 generates a chaotic crowd where specific characters are indistinguishable; the 'woman clutching a sign' is not clearly identifiable.", "score_1": 9, "score_2": 1}, {"name": "Action Dynamics (Surge & Zoom)", "reason_1": "Video 1 is largely static and fails to execute the 'groups surge towards each other' or the 'camera zooming in' instruction.", "reason_2": "Video 2 successfully attempts the dynamic movement of the crowd surging forward and the camera zooming in, aligning well with the action verbs in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Prop & Attribute Fidelity (Banners/Signs)", "reason_1": "Video 1 renders distinct banners with contrasting colors and legible (though stylized) text, fulfilling the 'clashing messages' requirement.", "reason_2": "Video 2 renders flags that morph into the subjects' bodies and lacks distinct, readable signs or messages.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific characters and props described, whereas Video 2 fails to render the specific 'woman clutching a sign' and loses subject definition in the chaos.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face/Body)", "reason_1": "Video 1 maintains perfect structural integrity of the characters throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; faces distort grotesquely, and bodies merge with flags, breaking all realism.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is crisp, clean, and free of noise or compression artifacts.", "reason_2": "The video is blurry, noisy, and suffers from significant generation artifacts.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The main character's identity remains consistent from start to finish.", "reason_2": "The central figure in Video 2 changes appearance and facial structure multiple times within a few seconds.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 maintains perfect visual stability and clarity. Video 2 suffers from catastrophic failure in morphological stability, with faces and objects melting and distorting severely.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression & Readability", "reason_1": "The expressions of determination and shouting are clearly readable and stylistically consistent.", "reason_2": "The intended emotions are lost behind the horror-like distortion of the faces.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a balanced composition that clearly establishes the relationship between the two main characters and the crowd.", "reason_2": "Video 2's framing is chaotic and messy, making it difficult to understand the spatial relationships in the scene.", "score_1": 7, "score_2": 3}, {"name": "Stylistic Coherence", "reason_1": "Video 1 adheres to a consistent anime art style.", "reason_2": "Video 2 attempts photorealism but fails, resulting in a jarring and incoherent visual style.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 presents a coherent, aesthetically pleasing anime scene with clear emotional expression. Video 2's aesthetic is ruined by technical glitches, creating an unintentional horror effect.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, structural coherence, and accurate depiction of the specific subjects requested (the shouting man and the woman with the sign). While Video 2 attempts the dynamic camera movement and crowd surge described in the prompt, it suffers from severe morphological collapse, with faces melting and identities becoming unrecognizable. Video 1, despite being stylistically static (anime style), delivers a clean, readable, and emotionally resonant scene that aligns well with the character descriptions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 60.316} +{"pair_id": "070_seed_310", "sample_index": 70, "seed": 310, "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_310_In a bustling public square two opposing groups fa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_310_In a bustling public square two opposing groups fa.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_310_In a bustling public square two opposing groups fa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_310_In a bustling public square two opposing groups fa.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Specificity (Man & Woman)\", \"reason_1\": \"Video 1 features a single male protagonist (Luffy) and lacks the specific 'woman nearby' subject described in the prompt.\", \"reason_2\": \"Video 2 clearly depicts both the shouting young man and the woman clutching a sign nearby, fulfilling the specific character requirements.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Fidelity (Surge & Chaos)\", \"reason_1\": \"Video 1 is largely static with only minor camera shake; there is no 'surge' or physical movement of the groups.\", \"reason_2\": \"Video 2 captures the dynamic movement of the crowd surging forward, aligning well with the prompt's instruction that 'chaos erupts'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Public Square)\", \"reason_1\": \"Video 1 depicts a stylized, fantasy-like background that resembles a specific anime setting rather than a generic bustling public square.\", \"reason_2\": \"Video 2 depicts a realistic architectural setting with arches and depth, fitting the description of a public square.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately includes the specific subjects (man and woman) and the dynamic action (surging/chaos) requested. Video 1 fails to depict the woman and presents a static scene rather than the requested surge.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face/Body)\", \"reason_1\": \"Video 1 maintains perfect structural integrity of the characters throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe distortion; the man's face melts and deforms grotesquely as the camera zooms in.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"Video 1 is crisp, clear, and free of noise, resembling a high-quality anime screenshot.\", \"reason_2\": \"Video 2 is blurry and suffers from significant generation artifacts and noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The limited motion in Video 1 is smooth and consistent.\", \"reason_2\": \"The motion in Video 2 is jerky and chaotic, contributing to the visual distortion.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 is technically superior in terms of image stability and clarity. Video 2 suffers from severe morphological breakdown, where faces and bodies distort and melt significantly during the motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Zoom & Intensity)\", \"reason_1\": \"Video 1 uses a static camera with a slight shake, failing to execute the requested 'zoom in on raw intensity'.\", \"reason_2\": \"Video 2 executes a dramatic forward push/zoom that effectively simulates the camera rushing into the chaos as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Atmosphere (Tension/Fervor)\", \"reason_1\": \"Video 1 conveys a sense of cheering or celebration rather than the 'clashing ideologies' and 'conflict' described.\", \"reason_2\": \"Video 2 successfully evokes a mood of high tension, panic, and raw conflict through its composition and subject expressions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 is a single moment in time with no progression.\", \"reason_2\": \"Video 2 has a clear beginning (standing) and progression (surging/zooming), matching the narrative flow of the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the cinematic intent of the prompt, specifically the camera zoom and the emotional intensity of the conflict. Video 1 lacks narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner in terms of semantic alignment and narrative execution. It successfully depicts the specific characters (man and woman), the chaotic action of the crowd surging, and the requested camera zoom. Video 1, while visually stable, is a static anime clip that fails to depict the specific 'opposing groups' dynamic, the 'woman' subject, or the 'surge' of chaos, effectively ignoring the narrative progression of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Specificity (Man & Woman)", "reason_1": "Video 1 features a single male protagonist (Luffy) and lacks the specific 'woman nearby' subject described in the prompt.", "reason_2": "Video 2 clearly depicts both the shouting young man and the woman clutching a sign nearby, fulfilling the specific character requirements.", "score_1": 1, "score_2": 9}, {"name": "Action Fidelity (Surge & Chaos)", "reason_1": "Video 1 is largely static with only minor camera shake; there is no 'surge' or physical movement of the groups.", "reason_2": "Video 2 captures the dynamic movement of the crowd surging forward, aligning well with the prompt's instruction that 'chaos erupts'.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Public Square)", "reason_1": "Video 1 depicts a stylized, fantasy-like background that resembles a specific anime setting rather than a generic bustling public square.", "reason_2": "Video 2 depicts a realistic architectural setting with arches and depth, fitting the description of a public square.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately includes the specific subjects (man and woman) and the dynamic action (surging/chaos) requested. Video 1 fails to depict the woman and presents a static scene rather than the requested surge.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face/Body)", "reason_1": "Video 1 maintains perfect structural integrity of the characters throughout the clip.", "reason_2": "Video 2 suffers from severe distortion; the man's face melts and deforms grotesquely as the camera zooms in.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Clarity", "reason_1": "Video 1 is crisp, clear, and free of noise, resembling a high-quality anime screenshot.", "reason_2": "Video 2 is blurry and suffers from significant generation artifacts and noise.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The limited motion in Video 1 is smooth and consistent.", "reason_2": "The motion in Video 2 is jerky and chaotic, contributing to the visual distortion.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 is technically superior in terms of image stability and clarity. Video 2 suffers from severe morphological breakdown, where faces and bodies distort and melt significantly during the motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Zoom & Intensity)", "reason_1": "Video 1 uses a static camera with a slight shake, failing to execute the requested 'zoom in on raw intensity'.", "reason_2": "Video 2 executes a dramatic forward push/zoom that effectively simulates the camera rushing into the chaos as requested.", "score_1": 2, "score_2": 8}, {"name": "Emotional Atmosphere (Tension/Fervor)", "reason_1": "Video 1 conveys a sense of cheering or celebration rather than the 'clashing ideologies' and 'conflict' described.", "reason_2": "Video 2 successfully evokes a mood of high tension, panic, and raw conflict through its composition and subject expressions.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression", "reason_1": "Video 1 is a single moment in time with no progression.", "reason_2": "Video 2 has a clear beginning (standing) and progression (surging/zooming), matching the narrative flow of the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the cinematic intent of the prompt, specifically the camera zoom and the emotional intensity of the conflict. Video 1 lacks narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner in terms of semantic alignment and narrative execution. It successfully depicts the specific characters (man and woman), the chaotic action of the crowd surging, and the requested camera zoom. Video 1, while visually stable, is a static anime clip that fails to depict the specific 'opposing groups' dynamic, the 'woman' subject, or the 'surge' of chaos, effectively ignoring the narrative progression of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 37.0, "total_score_2": 53.0, "elapsed_sec": 58.632} +{"pair_id": "070_seed_930", "sample_index": 70, "seed": 930, "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Specificity (Man & Woman)\", \"reason_1\": \"Video 1 clearly features a young man with dark hair and a woman with brown hair in the foreground, matching the prompt's description of the key actors.\", \"reason_2\": \"Video 2 presents a generic, morphing crowd where the specific 'young man' and 'woman' are indistinguishable from the background noise and lack distinct identities.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Emotional Expression Fidelity\", \"reason_1\": \"The characters in Video 1 display readable expressions of shouting and determination, aligning well with the 'eyes ablaze' and 'passionate' descriptors.\", \"reason_2\": \"The faces in Video 2 are heavily distorted and grotesque, conveying horror or confusion rather than the intended narrative emotions of determination and resolve.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Banners & Square)\", \"reason_1\": \"Video 1 depicts a clear public square setting with distinct banners held by the crowd, creating the requested 'sea of contrasting colors'.\", \"reason_2\": \"Video 2 suggests a crowd with flags, but the background is abstract and unstable, lacking the clear definition of a 'public square'.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately identifies and renders the specific protagonists described in the prompt, whereas Video 2 generates a generic, chaotic crowd without distinct focal characters.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"The characters in Video 1 maintain their structural integrity and facial features throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; faces warp, eyes disappear, and heads change shape randomly, breaking all immersion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Clarity & Line Consistency\", \"reason_1\": \"The lines and colors in Video 1 are crisp and consistent, resembling a standard anime production.\", \"reason_2\": \"Video 2 is blurry and noisy, with lines that jitter and disconnect, resulting in a low-fidelity visual experience.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement in Video 1, while limited, is logical and follows the characters' actions (shouting, holding signs).\", \"reason_2\": \"The motion in Video 2 is driven by morphing artifacts rather than physical movement, creating a surreal and disjointed effect.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains a stable anime aesthetic with consistent character forms. Video 2 fails significantly in this category due to extreme warping and loss of subject identity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Focal Point\", \"reason_1\": \"Video 1 effectively frames the two main characters in the foreground, guiding the viewer's eye to the 'conflict' as requested.\", \"reason_2\": \"Video 2 lacks a clear focal point; the composition is cluttered and chaotic, making it difficult to know where to look.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Legibility\", \"reason_1\": \"The scene in Video 1 is immediately readable as a protest or confrontation between specific individuals.\", \"reason_2\": \"Video 2 is visually confusing; without the prompt, it would be difficult to discern that this is a specific narrative scene rather than random noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Style Consistency\", \"reason_1\": \"Video 1 adheres to a consistent 2D anime art style.\", \"reason_2\": \"Video 2 fluctuates between different levels of abstraction and distortion, failing to maintain a unified artistic style.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully frames the narrative conflict between the two main characters, whereas Video 2 is a chaotic visual mess with no clear narrative focus.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully renders the specific characters (the young man and the woman) and their distinct emotional expressions within a coherent anime style. It maintains structural integrity and visual clarity throughout. In contrast, Video 2 suffers from severe morphological instability, where faces and bodies melt and distort uncontrollably, failing to depict the specific narrative elements or maintain a consistent visual reality.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Specificity (Man & Woman)", "reason_1": "Video 1 clearly features a young man with dark hair and a woman with brown hair in the foreground, matching the prompt's description of the key actors.", "reason_2": "Video 2 presents a generic, morphing crowd where the specific 'young man' and 'woman' are indistinguishable from the background noise and lack distinct identities.", "score_1": 9, "score_2": 1}, {"name": "Emotional Expression Fidelity", "reason_1": "The characters in Video 1 display readable expressions of shouting and determination, aligning well with the 'eyes ablaze' and 'passionate' descriptors.", "reason_2": "The faces in Video 2 are heavily distorted and grotesque, conveying horror or confusion rather than the intended narrative emotions of determination and resolve.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Banners & Square)", "reason_1": "Video 1 depicts a clear public square setting with distinct banners held by the crowd, creating the requested 'sea of contrasting colors'.", "reason_2": "Video 2 suggests a crowd with flags, but the background is abstract and unstable, lacking the clear definition of a 'public square'.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately identifies and renders the specific protagonists described in the prompt, whereas Video 2 generates a generic, chaotic crowd without distinct focal characters.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Body)", "reason_1": "The characters in Video 1 maintain their structural integrity and facial features throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; faces warp, eyes disappear, and heads change shape randomly, breaking all immersion.", "score_1": 9, "score_2": 1}, {"name": "Visual Clarity & Line Consistency", "reason_1": "The lines and colors in Video 1 are crisp and consistent, resembling a standard anime production.", "reason_2": "Video 2 is blurry and noisy, with lines that jitter and disconnect, resulting in a low-fidelity visual experience.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence", "reason_1": "The movement in Video 1, while limited, is logical and follows the characters' actions (shouting, holding signs).", "reason_2": "The motion in Video 2 is driven by morphing artifacts rather than physical movement, creating a surreal and disjointed effect.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains a stable anime aesthetic with consistent character forms. Video 2 fails significantly in this category due to extreme warping and loss of subject identity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Focal Point", "reason_1": "Video 1 effectively frames the two main characters in the foreground, guiding the viewer's eye to the 'conflict' as requested.", "reason_2": "Video 2 lacks a clear focal point; the composition is cluttered and chaotic, making it difficult to know where to look.", "score_1": 8, "score_2": 2}, {"name": "Narrative Legibility", "reason_1": "The scene in Video 1 is immediately readable as a protest or confrontation between specific individuals.", "reason_2": "Video 2 is visually confusing; without the prompt, it would be difficult to discern that this is a specific narrative scene rather than random noise.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Style Consistency", "reason_1": "Video 1 adheres to a consistent 2D anime art style.", "reason_2": "Video 2 fluctuates between different levels of abstraction and distortion, failing to maintain a unified artistic style.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully frames the narrative conflict between the two main characters, whereas Video 2 is a chaotic visual mess with no clear narrative focus.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully renders the specific characters (the young man and the woman) and their distinct emotional expressions within a coherent anime style. It maintains structural integrity and visual clarity throughout. In contrast, Video 2 suffers from severe morphological instability, where faces and bodies melt and distort uncontrollably, failing to depict the specific narrative elements or maintain a consistent visual reality.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 60.817} +{"pair_id": "071_seed_42", "sample_index": 71, "seed": 42, "prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_42_A meticulously crafted wooden toy ship glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_42_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_42_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_42_A meticulously crafted wooden toy ship glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Wood & Craftsmanship)\", \"reason_1\": \"Video 1 renders a dark, glossy ship that resembles a plastic pirate toy rather than a 'meticulously crafted wooden' model. The details are obscured by the dark color.\", \"reason_2\": \"Video 2 perfectly renders the 'polished wood grain' and 'finely carved masts' requested. The material looks authentic and high-quality.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Texture (Carpet as Waves)\", \"reason_1\": \"The carpet in Video 1 is a flat, solid blue surface that lacks the texture or depth to convincingly mimic 'gentle ocean waves'.\", \"reason_2\": \"The carpet in Video 2 has a plush, uneven texture that visually translates well into the 'illusion of ocean waves' as the ship moves over it.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Shadow Interaction\", \"reason_1\": \"Video 1 has harsh, high-contrast lighting that blows out the highlights and creates deep, unappealing shadows, failing to highlight the craftsmanship.\", \"reason_2\": \"Video 2 features soft, natural sunlight that casts 'playful shadows' and highlights the wood texture as requested.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately depicts the specific material attributes (polished wood, intricate rigging) and environmental textures (plush carpet) requested. Video 1 fails to render the 'wood grain' clearly and presents a generic dark toy rather than a crafted model.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video appears low-resolution and blurry, with significant loss of detail in the ship's rigging and the background.\", \"reason_2\": \"The video is sharp, with clear definition in the rigging lines and the fibers of the carpet.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness (Gliding Effect)\", \"reason_1\": \"The motion feels slightly jerky and lacks the 'effortless' quality described in the prompt.\", \"reason_2\": \"The ship moves with a smooth, consistent velocity that mimics the 'effortless glide' of a ship on water.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Object Stability (Rigging & Masts)\", \"reason_1\": \"The complex rigging lines appear to flicker and disconnect slightly during the motion.\", \"reason_2\": \"The complex rigging lines remain relatively stable and connected throughout the clip.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains high resolution and texture stability throughout the clip. Video 1 suffers from lower resolution, compression artifacts, and a lack of definition in the fine details.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Innocence & Imagination)\", \"reason_1\": \"The high contrast and dark colors create a harsh, almost ominous tone that contradicts the prompt's request for innocence.\", \"reason_2\": \"The warm lighting and soft textures successfully evoke the 'boundless imagination' and 'pure innocence' of a child's world.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Movement (Zoom & Reveal)\", \"reason_1\": \"The camera movement is present but feels less intentional, and the framing cuts off parts of the ship awkwardly.\", \"reason_2\": \"The camera executes a smooth push-in (zoom) that draws attention to the details of the ship, fulfilling the prompt's narrative direction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony & Aesthetic Appeal\", \"reason_1\": \"The colors are oversaturated and clash, particularly the neon-like blue of the carpet against the dark ship.\", \"reason_2\": \"The color palette is harmonious, blending the warm wood tones with the soft blue carpet.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'innocence' and 'childhood adventure' mood through warm lighting and a gentle camera push. Video 1 feels colder and more artificial due to its harsh contrast and dark color palette.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is a superior generation that aligns almost perfectly with the prompt's descriptive and atmospheric requirements. It successfully renders the 'polished wood grain' and 'plush carpet' with high fidelity, creating the requested illusion of a maritime journey. The lighting is soft and evocative, matching the 'innocence' and 'childhood adventure' themes. Video 1, by contrast, suffers from harsh, high-contrast lighting, a lower-resolution appearance, and a subject that looks more like a generic plastic toy than a meticulously crafted wooden model.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Wood & Craftsmanship)", "reason_1": "Video 1 renders a dark, glossy ship that resembles a plastic pirate toy rather than a 'meticulously crafted wooden' model. The details are obscured by the dark color.", "reason_2": "Video 2 perfectly renders the 'polished wood grain' and 'finely carved masts' requested. The material looks authentic and high-quality.", "score_1": 1, "score_2": 9}, {"name": "Environmental Texture (Carpet as Waves)", "reason_1": "The carpet in Video 1 is a flat, solid blue surface that lacks the texture or depth to convincingly mimic 'gentle ocean waves'.", "reason_2": "The carpet in Video 2 has a plush, uneven texture that visually translates well into the 'illusion of ocean waves' as the ship moves over it.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Shadow Interaction", "reason_1": "Video 1 has harsh, high-contrast lighting that blows out the highlights and creates deep, unappealing shadows, failing to highlight the craftsmanship.", "reason_2": "Video 2 features soft, natural sunlight that casts 'playful shadows' and highlights the wood texture as requested.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately depicts the specific material attributes (polished wood, intricate rigging) and environmental textures (plush carpet) requested. Video 1 fails to render the 'wood grain' clearly and presents a generic dark toy rather than a crafted model.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video appears low-resolution and blurry, with significant loss of detail in the ship's rigging and the background.", "reason_2": "The video is sharp, with clear definition in the rigging lines and the fibers of the carpet.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness (Gliding Effect)", "reason_1": "The motion feels slightly jerky and lacks the 'effortless' quality described in the prompt.", "reason_2": "The ship moves with a smooth, consistent velocity that mimics the 'effortless glide' of a ship on water.", "score_1": 2, "score_2": 8}, {"name": "Object Stability (Rigging & Masts)", "reason_1": "The complex rigging lines appear to flicker and disconnect slightly during the motion.", "reason_2": "The complex rigging lines remain relatively stable and connected throughout the clip.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains high resolution and texture stability throughout the clip. Video 1 suffers from lower resolution, compression artifacts, and a lack of definition in the fine details.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Innocence & Imagination)", "reason_1": "The high contrast and dark colors create a harsh, almost ominous tone that contradicts the prompt's request for innocence.", "reason_2": "The warm lighting and soft textures successfully evoke the 'boundless imagination' and 'pure innocence' of a child's world.", "score_1": 1, "score_2": 9}, {"name": "Camera Movement (Zoom & Reveal)", "reason_1": "The camera movement is present but feels less intentional, and the framing cuts off parts of the ship awkwardly.", "reason_2": "The camera executes a smooth push-in (zoom) that draws attention to the details of the ship, fulfilling the prompt's narrative direction.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony & Aesthetic Appeal", "reason_1": "The colors are oversaturated and clash, particularly the neon-like blue of the carpet against the dark ship.", "reason_2": "The color palette is harmonious, blending the warm wood tones with the soft blue carpet.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'innocence' and 'childhood adventure' mood through warm lighting and a gentle camera push. Video 1 feels colder and more artificial due to its harsh contrast and dark color palette.", "cat_winner": "Video 2"}], "reason": "Video 2 is a superior generation that aligns almost perfectly with the prompt's descriptive and atmospheric requirements. It successfully renders the 'polished wood grain' and 'plush carpet' with high fidelity, creating the requested illusion of a maritime journey. The lighting is soft and evocative, matching the 'innocence' and 'childhood adventure' themes. Video 1, by contrast, suffers from harsh, high-contrast lighting, a lower-resolution appearance, and a subject that looks more like a generic plastic toy than a meticulously crafted wooden model.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 16.0, "total_score_2": 74.0, "elapsed_sec": 64.826} +{"pair_id": "071_seed_310", "sample_index": 71, "seed": 310, "prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_310_A meticulously crafted wooden toy ship glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_310_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_310_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_310_A meticulously crafted wooden toy ship glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Structural Integrity (Ship & Rigging)\", \"reason_1\": \"The ship in Video 1 maintains a logical, rigid structure with distinct masts and hull throughout the clip.\", \"reason_2\": \"The ship in Video 2 suffers from severe hallucinations; the masts bend like rubber and the hull warps, failing to represent a 'meticulously crafted' object.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Window & Sunlight)\", \"reason_1\": \"Video 1 clearly depicts the requested window in the background with natural lighting streaming in, anchoring the scene in a child's room.\", \"reason_2\": \"Video 2 has a vague, blurry background where the window is barely discernible, lacking the specific environmental context requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Adherence (Zoom)\", \"reason_1\": \"Video 1 utilizes a slow pan/orbit rather than the requested 'zoom in' to reveal details.\", \"reason_2\": \"Video 2 attempts the requested zoom-in motion, moving closer to the subject, although the visual quality degrades during the movement.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 1 accurately renders the specific environmental details (window, sunlight) and maintains the structural integrity of the ship. Video 2 fails to maintain the subject's structure and lacks the clear environmental context.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The object remains completely solid and consistent in shape throughout the video.\", \"reason_2\": \"The subject exhibits extreme morphing; the ship's geometry changes frame by frame, breaking the illusion of a solid object.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear textures on the wood and carpet.\", \"reason_2\": \"The video is blurry, noisy, and suffers from low-resolution artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera movement is smooth and fluid.\", \"reason_2\": \"The motion is jerky and disorienting, contributing to the distortion of the subject.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by significant artifacts, blurring, and temporal inconsistency.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Sunlight & Shadows)\", \"reason_1\": \"Video 1 effectively captures the 'sunlight streaming through a window' with realistic highlights and shadows on the wood.\", \"reason_2\": \"The lighting in Video 2 is flat and inconsistent, failing to evoke the specific mood of a sunlit room.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition is balanced, colorful, and pleasant to watch.\", \"reason_2\": \"The visual experience is unpleasant due to the heavy distortion and lack of focus.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Immersion (Childhood Adventure)\", \"reason_1\": \"The stable, clear view of the toy in a room successfully evokes the feeling of a child's playtime.\", \"reason_2\": \"The glitchy nature of the video breaks immersion, making it feel like a technical error rather than a narrative scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully captures the mood of a childhood memory with warm lighting and a clear composition. Video 2 is visually chaotic and unappealing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, structural stability, and accurate depiction of the environmental context. While Video 2 attempts the requested camera zoom, it suffers from severe morphological distortion (the ship warps and bends unnaturally) and low resolution. Video 1 maintains a consistent, high-quality representation of the toy ship and the room environment, effectively capturing the lighting and atmosphere described in the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Structural Integrity (Ship & Rigging)", "reason_1": "The ship in Video 1 maintains a logical, rigid structure with distinct masts and hull throughout the clip.", "reason_2": "The ship in Video 2 suffers from severe hallucinations; the masts bend like rubber and the hull warps, failing to represent a 'meticulously crafted' object.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Window & Sunlight)", "reason_1": "Video 1 clearly depicts the requested window in the background with natural lighting streaming in, anchoring the scene in a child's room.", "reason_2": "Video 2 has a vague, blurry background where the window is barely discernible, lacking the specific environmental context requested.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Adherence (Zoom)", "reason_1": "Video 1 utilizes a slow pan/orbit rather than the requested 'zoom in' to reveal details.", "reason_2": "Video 2 attempts the requested zoom-in motion, moving closer to the subject, although the visual quality degrades during the movement.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 1 accurately renders the specific environmental details (window, sunlight) and maintains the structural integrity of the ship. Video 2 fails to maintain the subject's structure and lacks the clear environmental context.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The object remains completely solid and consistent in shape throughout the video.", "reason_2": "The subject exhibits extreme morphing; the ship's geometry changes frame by frame, breaking the illusion of a solid object.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear textures on the wood and carpet.", "reason_2": "The video is blurry, noisy, and suffers from low-resolution artifacts.", "score_1": 9, "score_2": 1}, {"name": "Motion Smoothness", "reason_1": "The camera movement is smooth and fluid.", "reason_2": "The motion is jerky and disorienting, contributing to the distortion of the subject.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by significant artifacts, blurring, and temporal inconsistency.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Sunlight & Shadows)", "reason_1": "Video 1 effectively captures the 'sunlight streaming through a window' with realistic highlights and shadows on the wood.", "reason_2": "The lighting in Video 2 is flat and inconsistent, failing to evoke the specific mood of a sunlit room.", "score_1": 9, "score_2": 1}, {"name": "Overall Visual Appeal", "reason_1": "The composition is balanced, colorful, and pleasant to watch.", "reason_2": "The visual experience is unpleasant due to the heavy distortion and lack of focus.", "score_1": 9, "score_2": 1}, {"name": "Narrative Immersion (Childhood Adventure)", "reason_1": "The stable, clear view of the toy in a room successfully evokes the feeling of a child's playtime.", "reason_2": "The glitchy nature of the video breaks immersion, making it feel like a technical error rather than a narrative scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully captures the mood of a childhood memory with warm lighting and a clear composition. Video 2 is visually chaotic and unappealing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, structural stability, and accurate depiction of the environmental context. While Video 2 attempts the requested camera zoom, it suffers from severe morphological distortion (the ship warps and bends unnaturally) and low resolution. Video 1 maintains a consistent, high-quality representation of the toy ship and the room environment, effectively capturing the lighting and atmosphere described in the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 58.307} +{"pair_id": "071_seed_930", "sample_index": 71, "seed": 930, "prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Detail Fidelity (Rigging & Craftsmanship)\", \"reason_1\": \"Video 1 presents a ship with simplified, blocky features and lacks the 'delicate rigging' explicitly requested in the prompt.\", \"reason_2\": \"Video 2 renders the ship with exceptional detail, clearly showing the 'delicate rigging' and 'finely carved masts' mentioned in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Window & Lighting)\", \"reason_1\": \"Video 1 shows a window in the background, but the lighting is flat and does not interact dynamically with the subject.\", \"reason_2\": \"Video 2 effectively utilizes the 'sunlight streaming through a nearby window' to create the requested 'playful shadows' and highlight the wood grain.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Adherence (Gliding Motion)\", \"reason_1\": \"Video 1 depicts the ship moving forward across the carpet, aligning better with the instruction that the ship 'glides effortlessly'.\", \"reason_2\": \"Video 2 is largely static in terms of the ship's position; the movement comes from the camera, missing the 'gliding' action.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 2 captures the specific descriptive details of the prompt (rigging, wood grain, lighting) much better than Video 1, despite Video 1 having more forward motion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Rendering (Wood & Carpet)\", \"reason_1\": \"The textures in Video 1 appear smooth and plastic-like, lacking the 'polished wood grain' realism.\", \"reason_2\": \"Video 2 displays high-fidelity textures where the wood grain and carpet fibers are distinct and realistic.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is somewhat soft and lacks definition in the finer details of the ship.\", \"reason_2\": \"The video maintains high sharpness, allowing the viewer to appreciate the 'intricate details' of the model.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Realism & Shadow Play\", \"reason_1\": \"Lighting is uniform and lacks the dynamic contrast expected from a window source.\", \"reason_2\": \"The lighting creates realistic depth and shadows, enhancing the 3D form of the ship.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior resolution, texture rendering, and lighting realism compared to the softer, flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Zoom vs. Pan)\", \"reason_1\": \"Video 1 uses a tracking shot that keeps the ship at a distance, failing to execute the requested 'zoom in' to reveal details.\", \"reason_2\": \"Video 2 utilizes a close-up framing that effectively simulates the 'zoom in' effect to focus on the craftsmanship.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Childhood Imagination)\", \"reason_1\": \"The flat lighting and simple composition result in a somewhat sterile, less imaginative atmosphere.\", \"reason_2\": \"The warm lighting and detailed close-up successfully evoke the 'boundless imagination' and 'innocence' described.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is functional but lacks artistic merit or visual engagement.\", \"reason_2\": \"The composition, lighting, and detail combine to create a visually stunning and professional-looking clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'cinematic' and 'dreamy' mood of the prompt through better framing and lighting, whereas Video 1 feels more like a basic product showcase.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity and adherence to the detailed aesthetic requirements of the prompt. While Video 1 depicts the ship moving across the carpet, it lacks the 'meticulous' detail and 'delicate rigging' requested. Video 2 excels in rendering the polished wood grain, intricate rigging, and the specific lighting conditions (sunlight casting playful shadows) described. Although Video 2 is more static in terms of the ship's forward momentum, its camera work effectively simulates the requested 'zoom in' to reveal craftsmanship, whereas Video 1 uses a tracking shot that fails to highlight the intricate details.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Detail Fidelity (Rigging & Craftsmanship)", "reason_1": "Video 1 presents a ship with simplified, blocky features and lacks the 'delicate rigging' explicitly requested in the prompt.", "reason_2": "Video 2 renders the ship with exceptional detail, clearly showing the 'delicate rigging' and 'finely carved masts' mentioned in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Window & Lighting)", "reason_1": "Video 1 shows a window in the background, but the lighting is flat and does not interact dynamically with the subject.", "reason_2": "Video 2 effectively utilizes the 'sunlight streaming through a nearby window' to create the requested 'playful shadows' and highlight the wood grain.", "score_1": 3, "score_2": 7}, {"name": "Action Adherence (Gliding Motion)", "reason_1": "Video 1 depicts the ship moving forward across the carpet, aligning better with the instruction that the ship 'glides effortlessly'.", "reason_2": "Video 2 is largely static in terms of the ship's position; the movement comes from the camera, missing the 'gliding' action.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 2 captures the specific descriptive details of the prompt (rigging, wood grain, lighting) much better than Video 1, despite Video 1 having more forward motion.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Rendering (Wood & Carpet)", "reason_1": "The textures in Video 1 appear smooth and plastic-like, lacking the 'polished wood grain' realism.", "reason_2": "Video 2 displays high-fidelity textures where the wood grain and carpet fibers are distinct and realistic.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is somewhat soft and lacks definition in the finer details of the ship.", "reason_2": "The video maintains high sharpness, allowing the viewer to appreciate the 'intricate details' of the model.", "score_1": 3, "score_2": 7}, {"name": "Lighting Realism & Shadow Play", "reason_1": "Lighting is uniform and lacks the dynamic contrast expected from a window source.", "reason_2": "The lighting creates realistic depth and shadows, enhancing the 3D form of the ship.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior resolution, texture rendering, and lighting realism compared to the softer, flatter look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Zoom vs. Pan)", "reason_1": "Video 1 uses a tracking shot that keeps the ship at a distance, failing to execute the requested 'zoom in' to reveal details.", "reason_2": "Video 2 utilizes a close-up framing that effectively simulates the 'zoom in' effect to focus on the craftsmanship.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Childhood Imagination)", "reason_1": "The flat lighting and simple composition result in a somewhat sterile, less imaginative atmosphere.", "reason_2": "The warm lighting and detailed close-up successfully evoke the 'boundless imagination' and 'innocence' described.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is functional but lacks artistic merit or visual engagement.", "reason_2": "The composition, lighting, and detail combine to create a visually stunning and professional-looking clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'cinematic' and 'dreamy' mood of the prompt through better framing and lighting, whereas Video 1 feels more like a basic product showcase.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity and adherence to the detailed aesthetic requirements of the prompt. While Video 1 depicts the ship moving across the carpet, it lacks the 'meticulous' detail and 'delicate rigging' requested. Video 2 excels in rendering the polished wood grain, intricate rigging, and the specific lighting conditions (sunlight casting playful shadows) described. Although Video 2 is more static in terms of the ship's forward momentum, its camera work effectively simulates the requested 'zoom in' to reveal craftsmanship, whereas Video 1 uses a tracking shot that fails to highlight the intricate details.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 62.28} +{"pair_id": "072_seed_42", "sample_index": 72, "seed": 42, "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Futuristic & Sci-Fi Element Integration\", \"reason_1\": \"Video 1 depicts a standard contemporary street with no visible holograms, autonomous vehicles, or futuristic fashion.\", \"reason_2\": \"Video 2 also fails to generate the requested futuristic elements, presenting a standard modern-day street scene instead.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Atmosphere (Rain & Neon)\", \"reason_1\": \"Video 1 features wet pavement, but the lighting is somewhat dull and lacks the 'vivid hues' and 'kaleidoscope' effect requested.\", \"reason_2\": \"Video 2 excels here, displaying vibrant neon reflections on the wet ground that align well with the 'electric blue' and 'fiery red' descriptions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Crowd Density & 'Bustling' Energy\", \"reason_1\": \"The street in Video 1 feels relatively empty and lacks the chaotic energy of a 'bustling' metropolis.\", \"reason_2\": \"Video 2 depicts a much denser crowd and more active traffic, better capturing the 'bustling' and 'sensory overload' aspects of the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 better captures the environmental descriptors like 'bustling', 'vivid hues', and 'dynamic reflections', whereas Video 1 feels emptier and less vibrant.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Morphological Stability\", \"reason_1\": \"The vehicles in Video 1, particularly the blue car, suffer from severe warping and shape-shifting as they move.\", \"reason_2\": \"The vehicles in Video 2 maintain their structural integrity and shape much better throughout the motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is soft, blurry, and lacks texture detail, resembling a low-resolution generation.\", \"reason_2\": \"The video is crisp, with clear details on the pavement, signs, and vehicles, offering a much higher perceived resolution.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion feels slightly floaty and disconnected from the ground.\", \"reason_2\": \"The movement of the cars and camera feels more grounded and fluid, with realistic momentum.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior, offering a sharper image and more stable objects compared to the blurry and warping visuals of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Vibrancy & Palette Accuracy\", \"reason_1\": \"The colors are muted and washed out, failing to deliver the 'vivid hues' and 'electric' feel.\", \"reason_2\": \"The color grading is punchy and saturated, effectively utilizing the neon palette to create a visually engaging scene.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Immersion & Depth\", \"reason_1\": \"The composition is flat and lacks depth, making the scene feel two-dimensional.\", \"reason_2\": \"The use of reflections and the density of the street creates a strong sense of depth and immersion.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to its blurriness and lack of dynamic lighting.\", \"reason_2\": \"Despite missing the sci-fi elements, the video is aesthetically pleasing and looks like high-quality footage of a city night.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 provides a much more visually striking and immersive experience through better color grading and composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"While both videos fail to generate the specific 'futuristic' and 'sci-fi' elements (holograms, autonomous vehicles) requested in the prompt, Video 2 is the clear winner based on technical execution and atmospheric alignment. Video 2 successfully renders the 'bustling' crowd, 'vivid neon hues', and 'rain-soaked pavement' with high visual fidelity and sharpness. In contrast, Video 1 suffers from significant blurriness, low resolution, and morphological instability in the vehicles, failing to capture the energy or quality implied by the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Futuristic & Sci-Fi Element Integration", "reason_1": "Video 1 depicts a standard contemporary street with no visible holograms, autonomous vehicles, or futuristic fashion.", "reason_2": "Video 2 also fails to generate the requested futuristic elements, presenting a standard modern-day street scene instead.", "score_1": 5, "score_2": 5}, {"name": "Environmental Atmosphere (Rain & Neon)", "reason_1": "Video 1 features wet pavement, but the lighting is somewhat dull and lacks the 'vivid hues' and 'kaleidoscope' effect requested.", "reason_2": "Video 2 excels here, displaying vibrant neon reflections on the wet ground that align well with the 'electric blue' and 'fiery red' descriptions.", "score_1": 3, "score_2": 7}, {"name": "Crowd Density & 'Bustling' Energy", "reason_1": "The street in Video 1 feels relatively empty and lacks the chaotic energy of a 'bustling' metropolis.", "reason_2": "Video 2 depicts a much denser crowd and more active traffic, better capturing the 'bustling' and 'sensory overload' aspects of the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 better captures the environmental descriptors like 'bustling', 'vivid hues', and 'dynamic reflections', whereas Video 1 feels emptier and less vibrant.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Morphological Stability", "reason_1": "The vehicles in Video 1, particularly the blue car, suffer from severe warping and shape-shifting as they move.", "reason_2": "The vehicles in Video 2 maintain their structural integrity and shape much better throughout the motion.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is soft, blurry, and lacks texture detail, resembling a low-resolution generation.", "reason_2": "The video is crisp, with clear details on the pavement, signs, and vehicles, offering a much higher perceived resolution.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion feels slightly floaty and disconnected from the ground.", "reason_2": "The movement of the cars and camera feels more grounded and fluid, with realistic momentum.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior, offering a sharper image and more stable objects compared to the blurry and warping visuals of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Vibrancy & Palette Accuracy", "reason_1": "The colors are muted and washed out, failing to deliver the 'vivid hues' and 'electric' feel.", "reason_2": "The color grading is punchy and saturated, effectively utilizing the neon palette to create a visually engaging scene.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Immersion & Depth", "reason_1": "The composition is flat and lacks depth, making the scene feel two-dimensional.", "reason_2": "The use of reflections and the density of the street creates a strong sense of depth and immersion.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to its blurriness and lack of dynamic lighting.", "reason_2": "Despite missing the sci-fi elements, the video is aesthetically pleasing and looks like high-quality footage of a city night.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 provides a much more visually striking and immersive experience through better color grading and composition.", "cat_winner": "Video 2"}], "reason": "While both videos fail to generate the specific 'futuristic' and 'sci-fi' elements (holograms, autonomous vehicles) requested in the prompt, Video 2 is the clear winner based on technical execution and atmospheric alignment. Video 2 successfully renders the 'bustling' crowd, 'vivid neon hues', and 'rain-soaked pavement' with high visual fidelity and sharpness. In contrast, Video 1 suffers from significant blurriness, low resolution, and morphological instability in the vehicles, failing to capture the energy or quality implied by the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 60.909} +{"pair_id": "072_seed_310", "sample_index": 72, "seed": 310, "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_310_The camera swiftly navigates through a bustling To.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_310_The camera swiftly navigates through a bustling To.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_310_The camera swiftly navigates through a bustling To.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_310_The camera swiftly navigates through a bustling To.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Futuristic Atmosphere & Color Palette\", \"reason_1\": \"Video 1 presents a dull, washed-out color palette that fails to convey 'futuristic energy' or the requested vivid neon hues.\", \"reason_2\": \"Video 2 successfully renders the 'electric blue' and 'fiery red' neon signs, creating a vibrant, high-energy atmosphere that matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Specificity (Autonomous Vehicles)\", \"reason_1\": \"Video 1 features a distinct, teal-colored vehicle that appears modern and autonomous, aligning well with the specific subject request.\", \"reason_2\": \"Video 2 features generic, contemporary-looking taxis that do not appear 'sleek' or 'autonomous' as requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Rain & Reflections)\", \"reason_1\": \"Video 1 shows wet pavement, but the reflections are muddy and lack the dynamic quality described.\", \"reason_2\": \"Video 2 renders high-contrast, dynamic reflections on the rain-soaked pavement, significantly enhancing the visual impact.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Crowd & Fashion Elements\", \"reason_1\": \"Video 1 shows pedestrians, but they are blurry and lack distinct 'avant-garde' fashion details.\", \"reason_2\": \"Video 2 depicts a denser crowd with more distinct clothing, though it also struggles to fully capture 'avant-garde' fashion.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the environmental atmosphere, lighting, and color palette described in the prompt much better than Video 1, despite Video 1 having a more accurate vehicle subject.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and lacks definition, resembling a low-resolution upscale.\", \"reason_2\": \"The video is sharp, with clear details in the signage, pavement textures, and vehicle surfaces.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting & Reflection Physics\", \"reason_1\": \"Lighting is flat and dull; reflections are present but lack realistic interaction with the light sources.\", \"reason_2\": \"Lighting is dynamic and vibrant; the neon lights interact realistically with the wet ground and surrounding surfaces.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The motion is somewhat jerky and the low frame rate perception detracts from the realism.\", \"reason_2\": \"The camera movement is smooth and fluid, creating a more professional and immersive viewing experience.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior in every aspect, offering a sharp, clear image compared to the blurry and low-resolution output of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Sensory Overload & Vibrancy\", \"reason_1\": \"The video feels muted and slow, failing to evoke the 'sensory overload' or 'buzz' described.\", \"reason_2\": \"The high saturation and contrast create a busy, vibrant aesthetic that aligns well with the prompt's energetic tone.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is functional but uninspired, with a central subject that gets lost in the blur.\", \"reason_2\": \"The composition uses the street lines and neon signs to create depth and lead the eye effectively through the scene.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The low quality and dull colors make the video visually unappealing.\", \"reason_2\": \"The vivid colors and sharp details make for a visually striking and engaging clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully creates the 'sensory overload' and 'vibrant' aesthetic requested, whereas Video 1 feels mundane and visually unappealing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, color vibrancy, and atmospheric rendering. While Video 1 attempts to depict a specific futuristic vehicle, the overall image is blurry, desaturated, and lacks the 'futuristic energy' requested. Video 2 delivers the vivid neon colors, dynamic reflections, and high-energy aesthetic described in the prompt, creating a much more immersive and visually pleasing result.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Futuristic Atmosphere & Color Palette", "reason_1": "Video 1 presents a dull, washed-out color palette that fails to convey 'futuristic energy' or the requested vivid neon hues.", "reason_2": "Video 2 successfully renders the 'electric blue' and 'fiery red' neon signs, creating a vibrant, high-energy atmosphere that matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Subject Specificity (Autonomous Vehicles)", "reason_1": "Video 1 features a distinct, teal-colored vehicle that appears modern and autonomous, aligning well with the specific subject request.", "reason_2": "Video 2 features generic, contemporary-looking taxis that do not appear 'sleek' or 'autonomous' as requested.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Rain & Reflections)", "reason_1": "Video 1 shows wet pavement, but the reflections are muddy and lack the dynamic quality described.", "reason_2": "Video 2 renders high-contrast, dynamic reflections on the rain-soaked pavement, significantly enhancing the visual impact.", "score_1": 4, "score_2": 6}, {"name": "Crowd & Fashion Elements", "reason_1": "Video 1 shows pedestrians, but they are blurry and lack distinct 'avant-garde' fashion details.", "reason_2": "Video 2 depicts a denser crowd with more distinct clothing, though it also struggles to fully capture 'avant-garde' fashion.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the environmental atmosphere, lighting, and color palette described in the prompt much better than Video 1, despite Video 1 having a more accurate vehicle subject.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and lacks definition, resembling a low-resolution upscale.", "reason_2": "The video is sharp, with clear details in the signage, pavement textures, and vehicle surfaces.", "score_1": 1, "score_2": 9}, {"name": "Lighting & Reflection Physics", "reason_1": "Lighting is flat and dull; reflections are present but lack realistic interaction with the light sources.", "reason_2": "Lighting is dynamic and vibrant; the neon lights interact realistically with the wet ground and surrounding surfaces.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness & Stability", "reason_1": "The motion is somewhat jerky and the low frame rate perception detracts from the realism.", "reason_2": "The camera movement is smooth and fluid, creating a more professional and immersive viewing experience.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior in every aspect, offering a sharp, clear image compared to the blurry and low-resolution output of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Sensory Overload & Vibrancy", "reason_1": "The video feels muted and slow, failing to evoke the 'sensory overload' or 'buzz' described.", "reason_2": "The high saturation and contrast create a busy, vibrant aesthetic that aligns well with the prompt's energetic tone.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition", "reason_1": "The framing is functional but uninspired, with a central subject that gets lost in the blur.", "reason_2": "The composition uses the street lines and neon signs to create depth and lead the eye effectively through the scene.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The low quality and dull colors make the video visually unappealing.", "reason_2": "The vivid colors and sharp details make for a visually striking and engaging clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully creates the 'sensory overload' and 'vibrant' aesthetic requested, whereas Video 1 feels mundane and visually unappealing.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, color vibrancy, and atmospheric rendering. While Video 1 attempts to depict a specific futuristic vehicle, the overall image is blurry, desaturated, and lacks the 'futuristic energy' requested. Video 2 delivers the vivid neon colors, dynamic reflections, and high-energy aesthetic described in the prompt, creating a much more immersive and visually pleasing result.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 33.0, "total_score_2": 67.0, "elapsed_sec": 62.782} +{"pair_id": "072_seed_930", "sample_index": 72, "seed": 930, "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Fidelity (Neon & Reflections)\", \"reason_1\": \"Video 1 features dull, washed-out lighting with minimal neon presence, failing to capture the 'electric blue, fiery red' description.\", \"reason_2\": \"Video 2 vividly renders the requested neon hues and creates strong, dynamic reflections on the wet pavement, aligning perfectly with the atmospheric prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Specificity (Vehicles & Fashion)\", \"reason_1\": \"Video 1 attempts to show vehicles, but they are generic and heavily distorted, failing the 'sleek, autonomous' descriptor.\", \"reason_2\": \"Video 2 shows a standard taxi rather than a futuristic autonomous vehicle, but the pedestrians and general street elements are rendered with much higher clarity and presence.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Tokyo Street)\", \"reason_1\": \"The environment is recognizable as a street but lacks the 'bustling' energy and detail due to blur.\", \"reason_2\": \"Video 2 captures the density and specific aesthetic of a Tokyo street (resembling Kabukicho) with high detail in the signage and crowd.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the atmospheric requirements (neon, rain, reflections) much better than Video 1, which fails to render the scene with the requested vibrancy.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The vehicles in Video 1 severely deform, melt, and change shape as they move, breaking all immersion.\", \"reason_2\": \"Video 2 maintains the structural integrity of the car, buildings, and pedestrians throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture detail.\", \"reason_2\": \"The image is crisp, with clear textures on the road and distinct details in the background signage.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion is jerky and unnatural, with objects sliding rather than rolling.\", \"reason_2\": \"The camera movement and subject motion are smooth and physically plausible.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is technically superior in every aspect, maintaining object solidity and image sharpness, whereas Video 1 is plagued by severe artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"Colors are muted and muddy, failing to evoke the 'kaleidoscope of colors' requested.\", \"reason_2\": \"The video utilizes a rich, saturated color palette that effectively conveys the 'vibrant' and 'electric' mood.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is chaotic and the distortion makes it difficult to focus on any subject.\", \"reason_2\": \"The shot is well-composed, leading the eye down the street with a clear sense of depth and scale.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy artifacts and lack of clarity.\", \"reason_2\": \"The video is aesthetically pleasing, resembling a high-quality cinematic shot of a city at night.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 offers a visually pleasing and professional-looking composition with rich colors, while Video 1 is aesthetically poor due to technical flaws.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, temporal stability, and atmospheric rendering. While both videos struggle to fully depict the specific 'futuristic' and 'holographic' elements requested, Video 2 successfully captures the 'bustling Tokyo street' vibe with high-quality neon lighting, realistic wet pavement reflections, and stable motion. Video 1 suffers from severe morphological distortion, low resolution, and a lack of color vibrancy, making it visually incoherent compared to the polished look of Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Fidelity (Neon & Reflections)", "reason_1": "Video 1 features dull, washed-out lighting with minimal neon presence, failing to capture the 'electric blue, fiery red' description.", "reason_2": "Video 2 vividly renders the requested neon hues and creates strong, dynamic reflections on the wet pavement, aligning perfectly with the atmospheric prompt.", "score_1": 2, "score_2": 8}, {"name": "Subject Specificity (Vehicles & Fashion)", "reason_1": "Video 1 attempts to show vehicles, but they are generic and heavily distorted, failing the 'sleek, autonomous' descriptor.", "reason_2": "Video 2 shows a standard taxi rather than a futuristic autonomous vehicle, but the pedestrians and general street elements are rendered with much higher clarity and presence.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Tokyo Street)", "reason_1": "The environment is recognizable as a street but lacks the 'bustling' energy and detail due to blur.", "reason_2": "Video 2 captures the density and specific aesthetic of a Tokyo street (resembling Kabukicho) with high detail in the signage and crowd.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the atmospheric requirements (neon, rain, reflections) much better than Video 1, which fails to render the scene with the requested vibrancy.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The vehicles in Video 1 severely deform, melt, and change shape as they move, breaking all immersion.", "reason_2": "Video 2 maintains the structural integrity of the car, buildings, and pedestrians throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, low-resolution, and lacks texture detail.", "reason_2": "The image is crisp, with clear textures on the road and distinct details in the background signage.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "The motion is jerky and unnatural, with objects sliding rather than rolling.", "reason_2": "The camera movement and subject motion are smooth and physically plausible.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is technically superior in every aspect, maintaining object solidity and image sharpness, whereas Video 1 is plagued by severe artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Vibrancy", "reason_1": "Colors are muted and muddy, failing to evoke the 'kaleidoscope of colors' requested.", "reason_2": "The video utilizes a rich, saturated color palette that effectively conveys the 'vibrant' and 'electric' mood.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition", "reason_1": "The framing is chaotic and the distortion makes it difficult to focus on any subject.", "reason_2": "The shot is well-composed, leading the eye down the street with a clear sense of depth and scale.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to heavy artifacts and lack of clarity.", "reason_2": "The video is aesthetically pleasing, resembling a high-quality cinematic shot of a city at night.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 offers a visually pleasing and professional-looking composition with rich colors, while Video 1 is aesthetically poor due to technical flaws.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, temporal stability, and atmospheric rendering. While both videos struggle to fully depict the specific 'futuristic' and 'holographic' elements requested, Video 2 successfully captures the 'bustling Tokyo street' vibe with high-quality neon lighting, realistic wet pavement reflections, and stable motion. Video 1 suffers from severe morphological distortion, low resolution, and a lack of color vibrancy, making it visually incoherent compared to the polished look of Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 20.0, "total_score_2": 70.0, "elapsed_sec": 59.841} +{"pair_id": "073_seed_42", "sample_index": 73, "seed": 42, "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Stylistic Constraint: Silhouette & Contrast\", \"reason_1\": \"Video 1 completely ignores the instruction for 'silhouettes etched against the horizon,' presenting a fully lit, standard side-profile shot.\", \"reason_2\": \"Video 2 perfectly executes the prompt's request for silhouettes, creating the specific high-contrast look described.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Scale: Vastness & Plains\", \"reason_1\": \"The framing in Video 1 is tighter, focusing on the rider and limiting the sense of a 'vast, open plain.'\", \"reason_2\": \"Video 2 utilizes a wide shot that effectively conveys the scale of the 'vast, open plain' and the 'distant mountains.'\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attribute Visibility\", \"reason_1\": \"Video 1 clearly displays the 'weathered hat' and 'rugged attire' as requested.\", \"reason_2\": \"Due to the silhouette style, the specific details of the attire and hat are obscured in Video 2, though this was a trade-off for the requested lighting.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 2 correctly interprets the prompt's request for a silhouette style and vast landscape, whereas Video 1 ignores the silhouette instruction entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Locomotion Physics (Horse Gait)\", \"reason_1\": \"The horse's movement in Video 1 feels slightly 'floaty,' with the hooves not appearing to make solid contact with the ground.\", \"reason_2\": \"Video 2 displays a more grounded and rhythmic walking gait that feels physically plausible for the distance shown.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 maintains a sharper focus on the subject with clearer texture details.\", \"reason_2\": \"Video 2 is softer and slightly blurrier, likely due to the lower resolution or the nature of the silhouette rendering.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 is stable with no major flickering.\", \"reason_2\": \"Video 2 is also stable, maintaining the integrity of the silhouette shape throughout the clip.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"While Video 1 is sharper, Video 2 exhibits more natural motion physics for the horse and better integration of the subject into the environment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Tranquility)\", \"reason_1\": \"The brighter, flatter lighting in Video 1 feels more like a standard stock clip and lacks the specific 'tranquil' atmosphere requested.\", \"reason_2\": \"The silhouette against the sunset in Video 2 strongly evokes the requested sense of 'freedom and tranquility.'\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Palette & Lighting\", \"reason_1\": \"Video 1 has a pleasant sky, but the lighting on the subject is inconsistent with the background sunset.\", \"reason_2\": \"Video 2 features a rich, cohesive palette of 'vibrant oranges and pinks' that dominates the scene as described.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The composition is functional but standard, lacking artistic flair.\", \"reason_2\": \"The wide framing and use of negative space in Video 2 create a much more cinematic and aesthetically pleasing image.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the emotional essence of the prompt—tranquility and freedom—through superior composition and lighting.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it strictly adheres to the specific stylistic constraint of the prompt: 'silhouettes are etched against the horizon.' It successfully creates the requested high-contrast aesthetic and captures the 'vast, open plain' with a wide cinematic composition. Video 1, while high quality, fails to render the requested silhouette effect, presenting a standard, fully-lit close-up that misses the atmospheric mood described.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Stylistic Constraint: Silhouette & Contrast", "reason_1": "Video 1 completely ignores the instruction for 'silhouettes etched against the horizon,' presenting a fully lit, standard side-profile shot.", "reason_2": "Video 2 perfectly executes the prompt's request for silhouettes, creating the specific high-contrast look described.", "score_1": 1, "score_2": 9}, {"name": "Environmental Scale: Vastness & Plains", "reason_1": "The framing in Video 1 is tighter, focusing on the rider and limiting the sense of a 'vast, open plain.'", "reason_2": "Video 2 utilizes a wide shot that effectively conveys the scale of the 'vast, open plain' and the 'distant mountains.'", "score_1": 3, "score_2": 7}, {"name": "Subject Attribute Visibility", "reason_1": "Video 1 clearly displays the 'weathered hat' and 'rugged attire' as requested.", "reason_2": "Due to the silhouette style, the specific details of the attire and hat are obscured in Video 2, though this was a trade-off for the requested lighting.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 2 correctly interprets the prompt's request for a silhouette style and vast landscape, whereas Video 1 ignores the silhouette instruction entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Locomotion Physics (Horse Gait)", "reason_1": "The horse's movement in Video 1 feels slightly 'floaty,' with the hooves not appearing to make solid contact with the ground.", "reason_2": "Video 2 displays a more grounded and rhythmic walking gait that feels physically plausible for the distance shown.", "score_1": 4, "score_2": 6}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 maintains a sharper focus on the subject with clearer texture details.", "reason_2": "Video 2 is softer and slightly blurrier, likely due to the lower resolution or the nature of the silhouette rendering.", "score_1": 7, "score_2": 3}, {"name": "Temporal Stability", "reason_1": "Video 1 is stable with no major flickering.", "reason_2": "Video 2 is also stable, maintaining the integrity of the silhouette shape throughout the clip.", "score_1": 5, "score_2": 5}], "cat_reason": "While Video 1 is sharper, Video 2 exhibits more natural motion physics for the horse and better integration of the subject into the environment.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Tranquility)", "reason_1": "The brighter, flatter lighting in Video 1 feels more like a standard stock clip and lacks the specific 'tranquil' atmosphere requested.", "reason_2": "The silhouette against the sunset in Video 2 strongly evokes the requested sense of 'freedom and tranquility.'", "score_1": 3, "score_2": 7}, {"name": "Color Palette & Lighting", "reason_1": "Video 1 has a pleasant sky, but the lighting on the subject is inconsistent with the background sunset.", "reason_2": "Video 2 features a rich, cohesive palette of 'vibrant oranges and pinks' that dominates the scene as described.", "score_1": 4, "score_2": 6}, {"name": "Cinematic Composition", "reason_1": "The composition is functional but standard, lacking artistic flair.", "reason_2": "The wide framing and use of negative space in Video 2 create a much more cinematic and aesthetically pleasing image.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the emotional essence of the prompt—tranquility and freedom—through superior composition and lighting.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it strictly adheres to the specific stylistic constraint of the prompt: 'silhouettes are etched against the horizon.' It successfully creates the requested high-contrast aesthetic and captures the 'vast, open plain' with a wide cinematic composition. Video 1, while high quality, fails to render the requested silhouette effect, presenting a standard, fully-lit close-up that misses the atmospheric mood described.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 38.0, "total_score_2": 52.0, "elapsed_sec": 57.959} +{"pair_id": "073_seed_310", "sample_index": 73, "seed": 310, "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_310_A lone cowboy clad in a weathered hat and rugged a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_310_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_310_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_310_A lone cowboy clad in a weathered hat and rugged a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Stylistic Constraint: Silhouette & Contrast\", \"reason_1\": \"Video 1 completely ignores the instruction for 'silhouettes etched against the horizon,' presenting a fully lit, standard side-profile shot.\", \"reason_2\": \"Video 2 perfectly executes the prompt's request for silhouettes, creating the specific high-contrast look described.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Palette: Sky Colors\", \"reason_1\": \"Video 1 features a generic golden/yellow sunset, missing the specific 'vibrant oranges and pinks' requested.\", \"reason_2\": \"Video 2 accurately renders the sky with the requested gradient of vibrant oranges and pinks.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attribute Visibility\", \"reason_1\": \"Video 1 clearly displays the 'weathered hat' and 'rugged attire' details as requested.\", \"reason_2\": \"Due to the silhouette style (which was requested, but conflicts with this specific dimension), the specific details of the attire are obscured in shadow.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Background Elements: Mountains & Plains\", \"reason_1\": \"Video 1 depicts the mountains and plains with high detail and depth.\", \"reason_2\": \"Video 2 includes the mountains and plains, but they are somewhat flatter and less detailed than Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 followed the critical stylistic instructions regarding lighting and color, whereas Video 1 ignored the 'silhouette' and 'pink/orange sky' requirements.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"Video 1 is sharp, with high-quality textures on the horse's coat and the grass.\", \"reason_2\": \"Video 2 appears softer, with lower resolution and less definition in the foreground elements.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The horse's movement in Video 1 feels weighty and grounded, with realistic leg articulation.\", \"reason_2\": \"The motion in Video 2 feels slightly 'floaty,' and the horse's connection to the ground is less convincing.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 maintains consistent subject form throughout the clip.\", \"reason_2\": \"Video 2 is mostly stable, but the silhouette edges exhibit minor shimmering/aliasing artifacts.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates significantly higher visual fidelity, sharper textures, and more realistic motion physics compared to the softer, slightly floaty look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood: Tranquility\", \"reason_1\": \"The bright, standard lighting of Video 1 feels more like a documentary clip than a tranquil, atmospheric scene.\", \"reason_2\": \"The silhouette against the colorful sky in Video 2 effectively evokes the requested sense of freedom and tranquility.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a standard tracking shot composition.\", \"reason_2\": \"Video 2 utilizes the backlighting to create a more dramatic and artistically composed image.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"The color grading in Video 1 is monochromatic (mostly yellow/brown).\", \"reason_2\": \"Video 2 displays a pleasing and accurate color harmony between the pink/orange sky and the dark foreground.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the 'breathtaking' and 'tranquil' mood much better through its artistic use of backlighting and color, aligning with the prompt's emotional intent.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it strictly adheres to the specific stylistic constraints of the prompt, particularly the requirement for 'silhouettes etched against the horizon' and the 'vibrant oranges and pinks' in the sky. While Video 1 offers superior texture resolution and definition of the cowboy's attire, it completely fails to render the requested silhouette effect, resulting in a standard, fully-lit shot that misses the prompt's intended atmospheric contrast.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Stylistic Constraint: Silhouette & Contrast", "reason_1": "Video 1 completely ignores the instruction for 'silhouettes etched against the horizon,' presenting a fully lit, standard side-profile shot.", "reason_2": "Video 2 perfectly executes the prompt's request for silhouettes, creating the specific high-contrast look described.", "score_1": 1, "score_2": 9}, {"name": "Environmental Palette: Sky Colors", "reason_1": "Video 1 features a generic golden/yellow sunset, missing the specific 'vibrant oranges and pinks' requested.", "reason_2": "Video 2 accurately renders the sky with the requested gradient of vibrant oranges and pinks.", "score_1": 3, "score_2": 7}, {"name": "Subject Attribute Visibility", "reason_1": "Video 1 clearly displays the 'weathered hat' and 'rugged attire' details as requested.", "reason_2": "Due to the silhouette style (which was requested, but conflicts with this specific dimension), the specific details of the attire are obscured in shadow.", "score_1": 8, "score_2": 2}, {"name": "Background Elements: Mountains & Plains", "reason_1": "Video 1 depicts the mountains and plains with high detail and depth.", "reason_2": "Video 2 includes the mountains and plains, but they are somewhat flatter and less detailed than Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 followed the critical stylistic instructions regarding lighting and color, whereas Video 1 ignored the 'silhouette' and 'pink/orange sky' requirements.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "Video 1 is sharp, with high-quality textures on the horse's coat and the grass.", "reason_2": "Video 2 appears softer, with lower resolution and less definition in the foreground elements.", "score_1": 8, "score_2": 2}, {"name": "Motion Physics & Grounding", "reason_1": "The horse's movement in Video 1 feels weighty and grounded, with realistic leg articulation.", "reason_2": "The motion in Video 2 feels slightly 'floaty,' and the horse's connection to the ground is less convincing.", "score_1": 7, "score_2": 3}, {"name": "Temporal Stability", "reason_1": "Video 1 maintains consistent subject form throughout the clip.", "reason_2": "Video 2 is mostly stable, but the silhouette edges exhibit minor shimmering/aliasing artifacts.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates significantly higher visual fidelity, sharper textures, and more realistic motion physics compared to the softer, slightly floaty look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood: Tranquility", "reason_1": "The bright, standard lighting of Video 1 feels more like a documentary clip than a tranquil, atmospheric scene.", "reason_2": "The silhouette against the colorful sky in Video 2 effectively evokes the requested sense of freedom and tranquility.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a standard tracking shot composition.", "reason_2": "Video 2 utilizes the backlighting to create a more dramatic and artistically composed image.", "score_1": 4, "score_2": 6}, {"name": "Color Harmony & Grading", "reason_1": "The color grading in Video 1 is monochromatic (mostly yellow/brown).", "reason_2": "Video 2 displays a pleasing and accurate color harmony between the pink/orange sky and the dark foreground.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the 'breathtaking' and 'tranquil' mood much better through its artistic use of backlighting and color, aligning with the prompt's emotional intent.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it strictly adheres to the specific stylistic constraints of the prompt, particularly the requirement for 'silhouettes etched against the horizon' and the 'vibrant oranges and pinks' in the sky. While Video 1 offers superior texture resolution and definition of the cowboy's attire, it completely fails to render the requested silhouette effect, resulting in a standard, fully-lit shot that misses the prompt's intended atmospheric contrast.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 50.0, "total_score_2": 50.0, "elapsed_sec": 59.55} +{"pair_id": "073_seed_930", "sample_index": 73, "seed": 930, "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Visibility (Attire & Hat)\", \"reason_1\": \"Video 1 clearly renders the 'weathered hat' and 'rugged attire' with visible textures and details.\", \"reason_2\": \"Video 2 renders the subject almost entirely as a dark silhouette, making it impossible to verify the 'rugged attire' or specific details of the hat.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Grass Sway & Mountains)\", \"reason_1\": \"Video 1 distinctly shows the 'gentle sway of prairie grasses' in the foreground and detailed 'distant mountains' in the background.\", \"reason_2\": \"Video 2 lacks foreground detail; the grass is a blur, and the mountains are vague shapes without the requested 'gentle glow' texture.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Silhouette Interpretation\", \"reason_1\": \"Video 1 interprets 'silhouettes' artistically as strong backlighting that creates contrast while maintaining subject visibility, fitting the 'breathtaking' description.\", \"reason_2\": \"Video 2 adheres strictly to the 'silhouette' instruction but does so to a fault, resulting in a flat, black subject that lacks the 'striking contrast' of a high-quality cinematic shot.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the specific details of the prompt (attire, grass, mountains) much better than Video 2, which obscures most details in shadow.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video is sharp, with high-definition textures on the horse's coat, the rider's clothes, and the environment.\", \"reason_2\": \"The video appears soft, blurry, and lacks high-frequency detail, resembling a lower-resolution generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Naturalism (Horse Gait)\", \"reason_1\": \"The horse's movement is fluid and anatomically plausible, with a natural gait.\", \"reason_2\": \"The horse's motion feels slightly stiff and mechanical, lacking the organic fluidity seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Volumetrics\", \"reason_1\": \"The light interacts realistically with the subject, creating rim lighting and volumetric depth in the clouds.\", \"reason_2\": \"The lighting is flat and uniform, lacking dynamic interaction with the subject or the environment.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade resolution and texture rendering, whereas Video 2 suffers from blurriness and lack of definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 utilizes a strong composition with foreground elements (grass) and background layers (mountains) creating a sense of vast scale.\", \"reason_2\": \"Video 2 feels flat and two-dimensional, lacking the depth cues necessary to convey a 'vast, open plain'.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Mood (Tranquility & Freedom)\", \"reason_1\": \"The warm, golden lighting and detailed landscape effectively evoke the requested sense of freedom and tranquility.\", \"reason_2\": \"The stark contrast and lack of detail make the scene feel somewhat empty and artificial rather than tranquil.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Grading & Palette\", \"reason_1\": \"The colors are rich and vibrant, accurately reflecting the 'golden hues' and 'vibrant oranges' requested.\", \"reason_2\": \"The color palette is somewhat washed out and lacks the vibrancy described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a truly cinematic and emotional scene with depth and atmosphere, while Video 2 feels flat and generic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in almost every metric. It delivers a high-fidelity, cinematic visualization where the 'rugged attire' and 'weathered hat' are clearly visible, and the 'gentle sway of prairie grasses' is rendered with excellent detail. The lighting creates a beautiful, volumetric golden hour atmosphere that enhances the depth of the scene. Video 2, while adhering to the silhouette instruction, results in a loss of detail, making the attire and environment indistinct, and suffers from lower resolution and flatter lighting.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Visibility (Attire & Hat)", "reason_1": "Video 1 clearly renders the 'weathered hat' and 'rugged attire' with visible textures and details.", "reason_2": "Video 2 renders the subject almost entirely as a dark silhouette, making it impossible to verify the 'rugged attire' or specific details of the hat.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Grass Sway & Mountains)", "reason_1": "Video 1 distinctly shows the 'gentle sway of prairie grasses' in the foreground and detailed 'distant mountains' in the background.", "reason_2": "Video 2 lacks foreground detail; the grass is a blur, and the mountains are vague shapes without the requested 'gentle glow' texture.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Silhouette Interpretation", "reason_1": "Video 1 interprets 'silhouettes' artistically as strong backlighting that creates contrast while maintaining subject visibility, fitting the 'breathtaking' description.", "reason_2": "Video 2 adheres strictly to the 'silhouette' instruction but does so to a fault, resulting in a flat, black subject that lacks the 'striking contrast' of a high-quality cinematic shot.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the specific details of the prompt (attire, grass, mountains) much better than Video 2, which obscures most details in shadow.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video is sharp, with high-definition textures on the horse's coat, the rider's clothes, and the environment.", "reason_2": "The video appears soft, blurry, and lacks high-frequency detail, resembling a lower-resolution generation.", "score_1": 9, "score_2": 1}, {"name": "Motion Naturalism (Horse Gait)", "reason_1": "The horse's movement is fluid and anatomically plausible, with a natural gait.", "reason_2": "The horse's motion feels slightly stiff and mechanical, lacking the organic fluidity seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Volumetrics", "reason_1": "The light interacts realistically with the subject, creating rim lighting and volumetric depth in the clouds.", "reason_2": "The lighting is flat and uniform, lacking dynamic interaction with the subject or the environment.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade resolution and texture rendering, whereas Video 2 suffers from blurriness and lack of definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 utilizes a strong composition with foreground elements (grass) and background layers (mountains) creating a sense of vast scale.", "reason_2": "Video 2 feels flat and two-dimensional, lacking the depth cues necessary to convey a 'vast, open plain'.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Mood (Tranquility & Freedom)", "reason_1": "The warm, golden lighting and detailed landscape effectively evoke the requested sense of freedom and tranquility.", "reason_2": "The stark contrast and lack of detail make the scene feel somewhat empty and artificial rather than tranquil.", "score_1": 8, "score_2": 2}, {"name": "Color Grading & Palette", "reason_1": "The colors are rich and vibrant, accurately reflecting the 'golden hues' and 'vibrant oranges' requested.", "reason_2": "The color palette is somewhat washed out and lacks the vibrancy described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a truly cinematic and emotional scene with depth and atmosphere, while Video 2 feels flat and generic.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in almost every metric. It delivers a high-fidelity, cinematic visualization where the 'rugged attire' and 'weathered hat' are clearly visible, and the 'gentle sway of prairie grasses' is rendered with excellent detail. The lighting creates a beautiful, volumetric golden hour atmosphere that enhances the depth of the scene. Video 2, while adhering to the silhouette instruction, results in a loss of detail, making the attire and environment indistinct, and suffers from lower resolution and flatter lighting.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 61.145} +{"pair_id": "074_seed_42", "sample_index": 74, "seed": 42, "prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_42_In a magnificent ballroom adorned with intricate g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_42_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_42_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_42_In a magnificent ballroom adorned with intricate g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Fidelity (Ascent & Pan)\", \"reason_1\": \"Video 1 executes a clear, continuous upward tilt/pan that transitions from the dancers to the chandelier, matching the prompt's narrative flow.\", \"reason_2\": \"Video 2 lacks a distinct upward camera movement; the framing remains largely static with only minor jitter, failing to 'reveal' the chandelier through motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Action (Graceful Dancing)\", \"reason_1\": \"The guests in Video 1 are engaged in recognizable ballroom dancing with fluid limb movements.\", \"reason_2\": \"The subjects in Video 2 are largely static or exhibit unnatural, stiff movements that do not resemble graceful dancing.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Moldings & Drapes)\", \"reason_1\": \"Video 1 clearly renders the gold moldings and velvet drapes with distinct textures and depth.\", \"reason_2\": \"Video 2 renders the environment, but the details are muddier and less distinct compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately follows the specific camera movement instructions and depicts the requested actions, whereas Video 2 fails to execute the camera move and the subjects are static.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"While faces are imperfect, the bodies in Video 1 maintain their shape and volume during movement.\", \"reason_2\": \"Video 2 exhibits severe morphing artifacts; faces and bodies distort and melt significantly, breaking the illusion of reality.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Fluidity\", \"reason_1\": \"The motion in Video 1 is relatively smooth and consistent with the frame rate.\", \"reason_2\": \"Video 2 appears jerky and stuttery, lacking the necessary temporal coherence for a video.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Definition\", \"reason_1\": \"The image in Video 1 is sharper, with better definition on the chandelier crystals and clothing fabrics.\", \"reason_2\": \"Video 2 looks softer and more washed out, with less definition in the key elements.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 maintains better structural integrity of the subjects and smoother motion, while Video 2 suffers from severe morphing and jitter.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Flow & Reveal\", \"reason_1\": \"Video 1 successfully creates a narrative moment by revealing the grand chandelier as the focal point after establishing the scene.\", \"reason_2\": \"Video 2 lacks narrative progression; it is a static shot that fails to build the scene or guide the viewer's eye.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmosphere of Opulence\", \"reason_1\": \"The lighting and composition in Video 1 effectively convey the 'magnificent' and 'elegant' atmosphere requested.\", \"reason_2\": \"The static nature and visual artifacts in Video 2 detract significantly from the intended elegant atmosphere.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Compositional Balance\", \"reason_1\": \"Video 1 balances the crowd and the ceiling element well during the transition.\", \"reason_2\": \"Video 2 feels cluttered and lacks a clear focal point due to the static framing.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the cinematic 'reveal' described in the prompt, creating a sense of grandeur, whereas Video 2 feels like a static, low-quality loop.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the complex camera movement (ascent and pan) required by the prompt, transitioning smoothly from the dancing guests to the chandelier. Video 2 fails to perform the camera movement, remaining largely static, and suffers from significant morphological instability where the subjects' faces and bodies distort heavily.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Fidelity (Ascent & Pan)", "reason_1": "Video 1 executes a clear, continuous upward tilt/pan that transitions from the dancers to the chandelier, matching the prompt's narrative flow.", "reason_2": "Video 2 lacks a distinct upward camera movement; the framing remains largely static with only minor jitter, failing to 'reveal' the chandelier through motion.", "score_1": 9, "score_2": 1}, {"name": "Subject Action (Graceful Dancing)", "reason_1": "The guests in Video 1 are engaged in recognizable ballroom dancing with fluid limb movements.", "reason_2": "The subjects in Video 2 are largely static or exhibit unnatural, stiff movements that do not resemble graceful dancing.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Moldings & Drapes)", "reason_1": "Video 1 clearly renders the gold moldings and velvet drapes with distinct textures and depth.", "reason_2": "Video 2 renders the environment, but the details are muddier and less distinct compared to Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately follows the specific camera movement instructions and depicts the requested actions, whereas Video 2 fails to execute the camera move and the subjects are static.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "While faces are imperfect, the bodies in Video 1 maintain their shape and volume during movement.", "reason_2": "Video 2 exhibits severe morphing artifacts; faces and bodies distort and melt significantly, breaking the illusion of reality.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Fluidity", "reason_1": "The motion in Video 1 is relatively smooth and consistent with the frame rate.", "reason_2": "Video 2 appears jerky and stuttery, lacking the necessary temporal coherence for a video.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Definition", "reason_1": "The image in Video 1 is sharper, with better definition on the chandelier crystals and clothing fabrics.", "reason_2": "Video 2 looks softer and more washed out, with less definition in the key elements.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 maintains better structural integrity of the subjects and smoother motion, while Video 2 suffers from severe morphing and jitter.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Flow & Reveal", "reason_1": "Video 1 successfully creates a narrative moment by revealing the grand chandelier as the focal point after establishing the scene.", "reason_2": "Video 2 lacks narrative progression; it is a static shot that fails to build the scene or guide the viewer's eye.", "score_1": 9, "score_2": 1}, {"name": "Atmosphere of Opulence", "reason_1": "The lighting and composition in Video 1 effectively convey the 'magnificent' and 'elegant' atmosphere requested.", "reason_2": "The static nature and visual artifacts in Video 2 detract significantly from the intended elegant atmosphere.", "score_1": 7, "score_2": 3}, {"name": "Compositional Balance", "reason_1": "Video 1 balances the crowd and the ceiling element well during the transition.", "reason_2": "Video 2 feels cluttered and lacks a clear focal point due to the static framing.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the cinematic 'reveal' described in the prompt, creating a sense of grandeur, whereas Video 2 feels like a static, low-quality loop.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the complex camera movement (ascent and pan) required by the prompt, transitioning smoothly from the dancing guests to the chandelier. Video 2 fails to perform the camera movement, remaining largely static, and suffers from significant morphological instability where the subjects' faces and bodies distort heavily.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 57.955} +{"pair_id": "074_seed_310", "sample_index": 74, "seed": 310, "prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_310_In a magnificent ballroom adorned with intricate g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_310_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_310_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_310_In a magnificent ballroom adorned with intricate g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory Adherence (Ascent & Pan)\", \"reason_1\": \"Video 1 fails to execute the requested 'slow ascent' and 'pan upward', remaining largely static with only minor jitter.\", \"reason_2\": \"Video 2 perfectly executes the prompt's instruction, starting at eye level and smoothly tilting/panning upward to reveal the ceiling and chandelier.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Action Fidelity (Graceful Dancing)\", \"reason_1\": \"The subjects in Video 1 are morphing and glitching rather than dancing; the motion is chaotic and lacks the requested 'grace'.\", \"reason_2\": \"Video 2 depicts guests in tuxedos and gowns moving in a recognizable waltz or dance pattern, aligning well with the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Chandelier & Decor)\", \"reason_1\": \"Video 1 shows the ballroom decor, but the chandelier is blurry and lacks the 'sparkling' detail requested.\", \"reason_2\": \"Video 2 reveals a highly detailed, large crystal chandelier that fits the description of 'stunning' and 'sparkling like stars'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the specific camera movement instructions and subject action descriptions much more closely than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Integrity)\", \"reason_1\": \"Video 1 exhibits severe hallucination; faces melt, limbs disappear, and bodies merge into one another constantly.\", \"reason_2\": \"Video 2 maintains the structural integrity of the dancers and the room throughout the camera movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image in Video 1 is soft, noisy, and lacks definition, particularly in the background elements.\", \"reason_2\": \"Video 2 is crisp, with clear textures on the gold moldings, the chandelier crystals, and the clothing.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion in Video 1 is jerky and unnatural, resembling a series of morphed frames rather than fluid video.\", \"reason_2\": \"Video 2 features smooth, continuous motion for both the camera pan and the dancing subjects.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and clarity, whereas Video 1 is plagued by severe artifacts and temporal incoherence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition (The Reveal)\", \"reason_1\": \"Video 1 lacks a clear focal point or compositional progression.\", \"reason_2\": \"Video 2 effectively uses the upward camera tilt to transition the viewer's focus from the social scene to the architectural grandeur, creating a satisfying narrative reveal.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmosphere & Mood (Elegance)\", \"reason_1\": \"The glitchy visuals in Video 1 create an uncanny and disturbing atmosphere rather than an elegant one.\", \"reason_2\": \"Video 2 successfully captures the 'opulent' and 'sophisticated' mood through warm lighting and stable, graceful visuals.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"Lighting in Video 1 is flat and inconsistent, with shadows that don't match the light sources.\", \"reason_2\": \"Video 2 features rich, warm lighting that highlights the gold accents and the sparkle of the chandelier effectively.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully creates the requested atmosphere of elegance and grandeur through effective composition and lighting.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the complex camera movement (ascent and upward pan) described in the prompt, whereas Video 1 remains static. Furthermore, Video 2 maintains high visual fidelity and subject stability, while Video 1 suffers from severe morphological distortion, with subjects melting and merging, failing to depict the requested 'graceful' dancing.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory Adherence (Ascent & Pan)", "reason_1": "Video 1 fails to execute the requested 'slow ascent' and 'pan upward', remaining largely static with only minor jitter.", "reason_2": "Video 2 perfectly executes the prompt's instruction, starting at eye level and smoothly tilting/panning upward to reveal the ceiling and chandelier.", "score_1": 1, "score_2": 9}, {"name": "Subject Action Fidelity (Graceful Dancing)", "reason_1": "The subjects in Video 1 are morphing and glitching rather than dancing; the motion is chaotic and lacks the requested 'grace'.", "reason_2": "Video 2 depicts guests in tuxedos and gowns moving in a recognizable waltz or dance pattern, aligning well with the prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Chandelier & Decor)", "reason_1": "Video 1 shows the ballroom decor, but the chandelier is blurry and lacks the 'sparkling' detail requested.", "reason_2": "Video 2 reveals a highly detailed, large crystal chandelier that fits the description of 'stunning' and 'sparkling like stars'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the specific camera movement instructions and subject action descriptions much more closely than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Integrity)", "reason_1": "Video 1 exhibits severe hallucination; faces melt, limbs disappear, and bodies merge into one another constantly.", "reason_2": "Video 2 maintains the structural integrity of the dancers and the room throughout the camera movement.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image in Video 1 is soft, noisy, and lacks definition, particularly in the background elements.", "reason_2": "Video 2 is crisp, with clear textures on the gold moldings, the chandelier crystals, and the clothing.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness", "reason_1": "The motion in Video 1 is jerky and unnatural, resembling a series of morphed frames rather than fluid video.", "reason_2": "Video 2 features smooth, continuous motion for both the camera pan and the dancing subjects.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade stability and clarity, whereas Video 1 is plagued by severe artifacts and temporal incoherence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition (The Reveal)", "reason_1": "Video 1 lacks a clear focal point or compositional progression.", "reason_2": "Video 2 effectively uses the upward camera tilt to transition the viewer's focus from the social scene to the architectural grandeur, creating a satisfying narrative reveal.", "score_1": 2, "score_2": 8}, {"name": "Atmosphere & Mood (Elegance)", "reason_1": "The glitchy visuals in Video 1 create an uncanny and disturbing atmosphere rather than an elegant one.", "reason_2": "Video 2 successfully captures the 'opulent' and 'sophisticated' mood through warm lighting and stable, graceful visuals.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Color Harmony", "reason_1": "Lighting in Video 1 is flat and inconsistent, with shadows that don't match the light sources.", "reason_2": "Video 2 features rich, warm lighting that highlights the gold accents and the sparkle of the chandelier effectively.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully creates the requested atmosphere of elegance and grandeur through effective composition and lighting.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the complex camera movement (ascent and upward pan) described in the prompt, whereas Video 1 remains static. Furthermore, Video 2 maintains high visual fidelity and subject stability, while Video 1 suffers from severe morphological distortion, with subjects melting and merging, failing to depict the requested 'graceful' dancing.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 59.085} +{"pair_id": "074_seed_930", "sample_index": 74, "seed": 930, "prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory Adherence (Ascent & Pan)\", \"reason_1\": \"Video 1 executes a clear, smooth upward tilt/pan that transitions from the guests to the ceiling, exactly as requested.\", \"reason_2\": \"Video 2 features erratic camera movement that does not follow the 'slow ascent' instruction, resulting in a confusing visual flow.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Moldings, Drapes, Chandelier)\", \"reason_1\": \"The video clearly renders the gold moldings, velvet drapes, and a distinct, detailed chandelier.\", \"reason_2\": \"While the room is opulent, the details are muddy, and the chandelier is poorly defined and lacks the requested 'sparkling' quality.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Action (Graceful Dancing)\", \"reason_1\": \"The guests are shown in a coherent ballroom setting, with poses that suggest dancing and mingling.\", \"reason_2\": \"The subjects are heavily distorted; their movements are glitchy and unnatural, failing to convey 'graceful' dancing.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 faithfully follows the specific camera movement instructions and renders the environmental details with high precision. Video 2 fails to execute the specific 'ascent' and 'pan' trajectory effectively.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Integrity)\", \"reason_1\": \"Subjects maintain their human form and clothing structure throughout the clip.\", \"reason_2\": \"Subjects suffer from severe 'melting' and warping, with limbs and faces losing coherence entirely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined textures on the floor and walls.\", \"reason_2\": \"The video is blurry and lacks definition, appearing like a low-resolution generation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion of both the camera and the subjects is fluid and consistent.\", \"reason_2\": \"The motion is jerky and stuttering, disrupting the realism of the scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a professional level of visual fidelity and stability. Video 2 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing effectively leads the eye from the dance floor up to the chandelier, creating a sense of scale.\", \"reason_2\": \"The framing is haphazard, often cutting off subjects or focusing on distorted areas without artistic intent.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Elegance & Sophistication)\", \"reason_1\": \"The lighting and color palette successfully evoke the requested mood of elegance and sophistication.\", \"reason_2\": \"The visual glitches and distortions create an uncanny and unsettling atmosphere rather than an elegant one.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow (The Reveal)\", \"reason_1\": \"The clip successfully tells the micro-story of the room unfolding to reveal the grand chandelier.\", \"reason_2\": \"There is no clear narrative progression; the clip feels like a random, broken segment.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the 'elegance and sophistication' requested by the prompt through good composition and lighting. Video 2 fails to establish the correct mood due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior adherence to the prompt's structural and aesthetic requirements. It successfully executes the specific camera movement (ascent and pan) to reveal the chandelier, maintains high visual fidelity, and depicts the subjects with reasonable stability. Video 2 suffers from severe morphological distortion, low resolution, and erratic camera movement that fails to follow the narrative direction of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory Adherence (Ascent & Pan)", "reason_1": "Video 1 executes a clear, smooth upward tilt/pan that transitions from the guests to the ceiling, exactly as requested.", "reason_2": "Video 2 features erratic camera movement that does not follow the 'slow ascent' instruction, resulting in a confusing visual flow.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Moldings, Drapes, Chandelier)", "reason_1": "The video clearly renders the gold moldings, velvet drapes, and a distinct, detailed chandelier.", "reason_2": "While the room is opulent, the details are muddy, and the chandelier is poorly defined and lacks the requested 'sparkling' quality.", "score_1": 8, "score_2": 2}, {"name": "Subject Action (Graceful Dancing)", "reason_1": "The guests are shown in a coherent ballroom setting, with poses that suggest dancing and mingling.", "reason_2": "The subjects are heavily distorted; their movements are glitchy and unnatural, failing to convey 'graceful' dancing.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 faithfully follows the specific camera movement instructions and renders the environmental details with high precision. Video 2 fails to execute the specific 'ascent' and 'pan' trajectory effectively.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Integrity)", "reason_1": "Subjects maintain their human form and clothing structure throughout the clip.", "reason_2": "Subjects suffer from severe 'melting' and warping, with limbs and faces losing coherence entirely.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined textures on the floor and walls.", "reason_2": "The video is blurry and lacks definition, appearing like a low-resolution generation.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The motion of both the camera and the subjects is fluid and consistent.", "reason_2": "The motion is jerky and stuttering, disrupting the realism of the scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a professional level of visual fidelity and stability. Video 2 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "The framing effectively leads the eye from the dance floor up to the chandelier, creating a sense of scale.", "reason_2": "The framing is haphazard, often cutting off subjects or focusing on distorted areas without artistic intent.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Elegance & Sophistication)", "reason_1": "The lighting and color palette successfully evoke the requested mood of elegance and sophistication.", "reason_2": "The visual glitches and distortions create an uncanny and unsettling atmosphere rather than an elegant one.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow (The Reveal)", "reason_1": "The clip successfully tells the micro-story of the room unfolding to reveal the grand chandelier.", "reason_2": "There is no clear narrative progression; the clip feels like a random, broken segment.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the 'elegance and sophistication' requested by the prompt through good composition and lighting. Video 2 fails to establish the correct mood due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior adherence to the prompt's structural and aesthetic requirements. It successfully executes the specific camera movement (ascent and pan) to reveal the chandelier, maintains high visual fidelity, and depicts the subjects with reasonable stability. Video 2 suffers from severe morphological distortion, low resolution, and erratic camera movement that fails to follow the narrative direction of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 57.338} +{"pair_id": "075_seed_42", "sample_index": 75, "seed": 42, "prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_42_In the dim light of dawn a delicate spiders web gl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_42_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_42_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_42_In the dim light of dawn a delicate spiders web gl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Fidelity (Web & Dew Structure)\", \"reason_1\": \"Video 1 renders a highly realistic, intricate spider web with distinct, glistening dew droplets as requested.\", \"reason_2\": \"Video 2 fails to generate a spider web, instead producing a strange, concentric circular pattern that resembles a fingerprint or ripple effect, completely missing the primary subject.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Conceptual Integration (Cosmic Spectacle)\", \"reason_1\": \"Video 1 interprets the 'cosmic spectacle' as a background environment and lighting effect, which is visually coherent even if it doesn't strictly place galaxies *inside* the droplets.\", \"reason_2\": \"Video 2 attempts to place a galaxy texture directly in the center, but because the 'web' structure is missing, the concept is lost and looks like a texture overlay error.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Dawn & Breeze)\", \"reason_1\": \"Video 1 captures the 'dim light of dawn' and the 'gentle sway' of the web in the breeze perfectly.\", \"reason_2\": \"Video 2 lacks the dawn atmosphere, presenting a generic space background, and the motion is a mechanical zoom rather than a natural breeze.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately depicts the primary subject (spider web with dew) and the environmental context (dawn, breeze). Video 2 fails to generate a recognizable spider web, rendering a concentric circle pattern instead.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"The texture of the silk and the refraction of light in the water droplets are rendered with photorealistic sharpness.\", \"reason_2\": \"The video is blurry, low-resolution, and lacks distinct texture definition.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Web Physics)\", \"reason_1\": \"The web sways naturally with the wind, showing realistic tension and weight.\", \"reason_2\": \"The concentric circles expand and contract in a rigid, artificial manner that defies physics.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability\", \"reason_1\": \"The video is stable with no flickering or morphing artifacts.\", \"reason_2\": \"The video suffers from significant jitter and morphing artifacts as the camera zooms.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade rendering with high resolution and realistic physics. Video 2 is blurry, low-resolution, and lacks physical plausibility.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition, lighting, and color palette create a beautiful, ethereal image that is pleasant to watch.\", \"reason_2\": \"The imagery is confusing and visually unappealing due to the lack of a clear subject and poor resolution.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Mood (Ethereal Beauty)\", \"reason_1\": \"Successfully evokes the 'ethereal beauty' and 'mysteries of the universe' through lighting and soft focus.\", \"reason_2\": \"Fails to establish a mood; the imagery feels like a technical glitch rather than an artistic interpretation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is subtle and cinematic, enhancing the sense of scale.\", \"reason_2\": \"The zoom is linear and mechanical, lacking cinematic nuance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a beautiful, moody, and ethereal scene that aligns with the artistic intent of the prompt. Video 2 is aesthetically unpleasing and confusing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity and accurate depiction of the primary subject (the spider web with dew). While it interprets the 'cosmic' elements more as an atmospheric background rather than strictly inside the droplets, it creates a cohesive, high-quality, and aesthetically pleasing scene. Video 2 fails fundamentally to generate a spider web, producing a low-quality, abstract concentric pattern that lacks the required physical structure and realism.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Fidelity (Web & Dew Structure)", "reason_1": "Video 1 renders a highly realistic, intricate spider web with distinct, glistening dew droplets as requested.", "reason_2": "Video 2 fails to generate a spider web, instead producing a strange, concentric circular pattern that resembles a fingerprint or ripple effect, completely missing the primary subject.", "score_1": 10, "score_2": 0}, {"name": "Conceptual Integration (Cosmic Spectacle)", "reason_1": "Video 1 interprets the 'cosmic spectacle' as a background environment and lighting effect, which is visually coherent even if it doesn't strictly place galaxies *inside* the droplets.", "reason_2": "Video 2 attempts to place a galaxy texture directly in the center, but because the 'web' structure is missing, the concept is lost and looks like a texture overlay error.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Dawn & Breeze)", "reason_1": "Video 1 captures the 'dim light of dawn' and the 'gentle sway' of the web in the breeze perfectly.", "reason_2": "Video 2 lacks the dawn atmosphere, presenting a generic space background, and the motion is a mechanical zoom rather than a natural breeze.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately depicts the primary subject (spider web with dew) and the environmental context (dawn, breeze). Video 2 fails to generate a recognizable spider web, rendering a concentric circle pattern instead.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Rendering", "reason_1": "The texture of the silk and the refraction of light in the water droplets are rendered with photorealistic sharpness.", "reason_2": "The video is blurry, low-resolution, and lacks distinct texture definition.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Web Physics)", "reason_1": "The web sways naturally with the wind, showing realistic tension and weight.", "reason_2": "The concentric circles expand and contract in a rigid, artificial manner that defies physics.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability", "reason_1": "The video is stable with no flickering or morphing artifacts.", "reason_2": "The video suffers from significant jitter and morphing artifacts as the camera zooms.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade rendering with high resolution and realistic physics. Video 2 is blurry, low-resolution, and lacks physical plausibility.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The composition, lighting, and color palette create a beautiful, ethereal image that is pleasant to watch.", "reason_2": "The imagery is confusing and visually unappealing due to the lack of a clear subject and poor resolution.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Mood (Ethereal Beauty)", "reason_1": "Successfully evokes the 'ethereal beauty' and 'mysteries of the universe' through lighting and soft focus.", "reason_2": "Fails to establish a mood; the imagery feels like a technical glitch rather than an artistic interpretation.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is subtle and cinematic, enhancing the sense of scale.", "reason_2": "The zoom is linear and mechanical, lacking cinematic nuance.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a beautiful, moody, and ethereal scene that aligns with the artistic intent of the prompt. Video 2 is aesthetically unpleasing and confusing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity and accurate depiction of the primary subject (the spider web with dew). While it interprets the 'cosmic' elements more as an atmospheric background rather than strictly inside the droplets, it creates a cohesive, high-quality, and aesthetically pleasing scene. Video 2 fails fundamentally to generate a spider web, producing a low-quality, abstract concentric pattern that lacks the required physical structure and realism.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 59.132} +{"pair_id": "075_seed_310", "sample_index": 75, "seed": 310, "prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_310_In the dim light of dawn a delicate spiders web gl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_310_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_310_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_310_In the dim light of dawn a delicate spiders web gl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Conceptual Integration (Galaxies within Droplets)\", \"reason_1\": \"Video 1 fails to place the galaxies *inside* the droplets; it merely shows a galaxy background behind a web with standard water droplets.\", \"reason_2\": \"Video 2 successfully renders the 'miniature universe' concept, showing vibrant nebulae and stars contained within the volume of the dew drops.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Zoom Execution)\", \"reason_1\": \"Video 1 features a slow, subtle push-in that lacks the dramatic 'zoom' requested to reveal details.\", \"reason_2\": \"Video 2 executes a significant zoom that transitions from a wider shot to a macro view, aligning perfectly with the prompt's instruction to 'zoom in' to reveal the spectacle.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Dawn & Breeze)\", \"reason_1\": \"Video 1 captures the 'dim light of dawn' and the 'gentle sway' of the web very naturally.\", \"reason_2\": \"Video 2 captures the environment well, though the motion of the web is slightly less fluid than Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 accurately interprets the core creative instruction of the prompt—placing galaxies inside the droplets—whereas Video 1 misses this entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Macro Texture Fidelity\", \"reason_1\": \"The web strands and water droplets in Video 1 are rendered with high sharpness and realistic refraction.\", \"reason_2\": \"Video 2 maintains good detail, but the texture of the web strands becomes slightly less defined during the zoom compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"Video 1 is extremely stable with no jitter or morphing artifacts.\", \"reason_2\": \"Video 2 exhibits some minor temporal instability and morphing in the web structure as the camera moves.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Reflection Consistency\", \"reason_1\": \"The lighting on the dew drops is consistent and realistic.\", \"reason_2\": \"The internal lighting of the 'galaxy droplets' is handled well, maintaining consistency throughout the zoom.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 exhibits superior stability and texture sharpness, while Video 2 has minor morphing issues during the zoom.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Impact (Cosmic Spectacle)\", \"reason_1\": \"Video 1 is visually pleasant but lacks the 'spectacle' factor; it looks like a standard nature shot.\", \"reason_2\": \"Video 2 delivers a high-impact visual with vibrant colors and a surreal aesthetic that matches the 'cosmic spectacle' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression (The Reveal)\", \"reason_1\": \"Video 1 is static in its narrative; nothing changes or is revealed.\", \"reason_2\": \"Video 2 follows the narrative arc of the prompt: starting with the web and zooming in to reveal the hidden cosmic details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are muted and realistic, which is nice but less aligned with the 'vibrant' descriptor in the prompt.\", \"reason_2\": \"Video 2 uses rich purples, blues, and golds to depict the nebulae, creating a more striking and prompt-aligned color palette.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the 'cosmic spectacle' and 'ethereal beauty' much better through its vibrant color palette and dramatic composition.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Surreal Concept Execution\", \"dims\": [{\"name\": \"Fantasy Element Realization\", \"reason_1\": \"Video 1 completely ignores the fantasy element of 'droplets as universes'.\", \"reason_2\": \"Video 2 fully realizes the fantasy element, making the droplets look like portals to the cosmos.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Atmospheric Mood (Ethereal/Portal)\", \"reason_1\": \"The mood is calm and natural, missing the 'ethereal' and 'portal' vibe.\", \"reason_2\": \"The combination of the zoom and the glowing internal galaxies creates a strong 'portal' atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Creative Interpretation\", \"reason_1\": \"Video 1 takes a very safe, literal approach to the web and background but fails the creative synthesis.\", \"reason_2\": \"Video 2 creatively synthesizes the macro world (web) with the micro world (galaxies) effectively.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category evaluates the specific fantasy requirement. Video 2 succeeds in creating the 'portal' effect, while Video 1 fails.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully executes the prompt's central surreal concept: the 'miniature universes' inside the droplets. While Video 1 provides a high-quality, realistic image of a web against a starry background, it fails to integrate the galaxies *within* the droplets as requested. Video 2 delivers the requested zoom, the vibrant cosmic colors inside the dew, and the 'portal' aesthetic, fulfilling the narrative and creative demands of the prompt far better.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Conceptual Integration (Galaxies within Droplets)", "reason_1": "Video 1 fails to place the galaxies *inside* the droplets; it merely shows a galaxy background behind a web with standard water droplets.", "reason_2": "Video 2 successfully renders the 'miniature universe' concept, showing vibrant nebulae and stars contained within the volume of the dew drops.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Zoom Execution)", "reason_1": "Video 1 features a slow, subtle push-in that lacks the dramatic 'zoom' requested to reveal details.", "reason_2": "Video 2 executes a significant zoom that transitions from a wider shot to a macro view, aligning perfectly with the prompt's instruction to 'zoom in' to reveal the spectacle.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Dawn & Breeze)", "reason_1": "Video 1 captures the 'dim light of dawn' and the 'gentle sway' of the web very naturally.", "reason_2": "Video 2 captures the environment well, though the motion of the web is slightly less fluid than Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 accurately interprets the core creative instruction of the prompt—placing galaxies inside the droplets—whereas Video 1 misses this entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Macro Texture Fidelity", "reason_1": "The web strands and water droplets in Video 1 are rendered with high sharpness and realistic refraction.", "reason_2": "Video 2 maintains good detail, but the texture of the web strands becomes slightly less defined during the zoom compared to Video 1.", "score_1": 6, "score_2": 4}, {"name": "Motion Smoothness & Stability", "reason_1": "Video 1 is extremely stable with no jitter or morphing artifacts.", "reason_2": "Video 2 exhibits some minor temporal instability and morphing in the web structure as the camera moves.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Reflection Consistency", "reason_1": "The lighting on the dew drops is consistent and realistic.", "reason_2": "The internal lighting of the 'galaxy droplets' is handled well, maintaining consistency throughout the zoom.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 exhibits superior stability and texture sharpness, while Video 2 has minor morphing issues during the zoom.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Impact (Cosmic Spectacle)", "reason_1": "Video 1 is visually pleasant but lacks the 'spectacle' factor; it looks like a standard nature shot.", "reason_2": "Video 2 delivers a high-impact visual with vibrant colors and a surreal aesthetic that matches the 'cosmic spectacle' description.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression (The Reveal)", "reason_1": "Video 1 is static in its narrative; nothing changes or is revealed.", "reason_2": "Video 2 follows the narrative arc of the prompt: starting with the web and zooming in to reveal the hidden cosmic details.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are muted and realistic, which is nice but less aligned with the 'vibrant' descriptor in the prompt.", "reason_2": "Video 2 uses rich purples, blues, and golds to depict the nebulae, creating a more striking and prompt-aligned color palette.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the 'cosmic spectacle' and 'ethereal beauty' much better through its vibrant color palette and dramatic composition.", "cat_winner": "Video 2"}, {"name": "D. Surreal Concept Execution", "dims": [{"name": "Fantasy Element Realization", "reason_1": "Video 1 completely ignores the fantasy element of 'droplets as universes'.", "reason_2": "Video 2 fully realizes the fantasy element, making the droplets look like portals to the cosmos.", "score_1": 1, "score_2": 9}, {"name": "Atmospheric Mood (Ethereal/Portal)", "reason_1": "The mood is calm and natural, missing the 'ethereal' and 'portal' vibe.", "reason_2": "The combination of the zoom and the glowing internal galaxies creates a strong 'portal' atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Creative Interpretation", "reason_1": "Video 1 takes a very safe, literal approach to the web and background but fails the creative synthesis.", "reason_2": "Video 2 creatively synthesizes the macro world (web) with the micro world (galaxies) effectively.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category evaluates the specific fantasy requirement. Video 2 succeeds in creating the 'portal' effect, while Video 1 fails.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully executes the prompt's central surreal concept: the 'miniature universes' inside the droplets. While Video 1 provides a high-quality, realistic image of a web against a starry background, it fails to integrate the galaxies *within* the droplets as requested. Video 2 delivers the requested zoom, the vibrant cosmic colors inside the dew, and the 'portal' aesthetic, fulfilling the narrative and creative demands of the prompt far better.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 44.0, "total_score_2": 76.0, "elapsed_sec": 73.799} +{"pair_id": "075_seed_930", "sample_index": 75, "seed": 930, "prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Structural Integrity (Web & Dew)\", \"reason_1\": \"Video 1 clearly renders a spider web with distinct, spherical dew drops adhering to the silk strands.\", \"reason_2\": \"Video 2 fails to render a coherent web; the 'droplets' appear as random, floating blobs with no connection to any silk structure.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Surreal Concept Integration (Galaxies in Droplets)\", \"reason_1\": \"Video 1 successfully places the galaxy imagery within the context of the scene, creating the illusion of a cosmic backdrop seen through the dew.\", \"reason_2\": \"Video 2 presents a chaotic mix of colors and shapes that fails to convey the specific concept of 'miniature universes' inside the droplets.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Dawn & Mood)\", \"reason_1\": \"Video 1 captures the 'dim light of dawn' and 'moody background' effectively with appropriate lighting and color grading.\", \"reason_2\": \"Video 2 lacks a cohesive atmosphere, appearing more like a glitchy digital artifact than a moody natural scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the primary subjects (web, dew) and the environmental context. Video 2 fails to generate a recognizable spider web, presenting instead a chaotic array of floating shapes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The droplets and web strands in Video 1 maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"The objects in Video 2 constantly morph, stretch, and distort, lacking any physical solidity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is sharp, with clear definition between the foreground droplets and the background.\", \"reason_2\": \"Video 2 is blurry and noisy, with significant compression-like artifacts and indistinct edges.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence (Sway vs. Distortion)\", \"reason_1\": \"Video 1 exhibits a gentle, rhythmic motion that mimics a breeze, though it is slightly repetitive.\", \"reason_2\": \"Video 2 displays erratic, jittery motion that looks like generation noise rather than physical movement.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 is plagued by severe artifacts, blurring, and a lack of object permanence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Ethereal Aesthetic & Beauty\", \"reason_1\": \"Video 1 creates a beautiful, dreamlike image that aligns perfectly with the 'ethereal beauty' requested in the prompt.\", \"reason_2\": \"Video 2 is visually unappealing and chaotic, failing to evoke any sense of beauty or wonder.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a centered composition that draws the eye to the 'portal' effect of the web.\", \"reason_2\": \"Video 2 lacks a focal point, with elements scattered randomly across the frame.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Execution (Zoom)\", \"reason_1\": \"Video 1 has a subtle push-in that mimics a slow zoom, though it is not very aggressive.\", \"reason_2\": \"Video 2 has no discernible camera movement logic, only random pixel shifting.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 succeeds in creating the 'ethereal beauty' requested, offering a pleasing composition. Video 2 is aesthetically displeasing and chaotic.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Physics & Material Rendering\", \"dims\": [{\"name\": \"Liquid Surface Tension (Droplet Shape)\", \"reason_1\": \"The droplets in Video 1 have realistic spherical tension, looking like actual water.\", \"reason_2\": \"The shapes in Video 2 are irregular and blob-like, lacking the physical properties of liquid.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Refraction & Light Interaction\", \"reason_1\": \"Video 1 shows light interacting with the droplets (refraction), enhancing the 'glistening' effect.\", \"reason_2\": \"Video 2 lacks realistic lighting interaction; the blobs are flat and do not refract the background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Material Distinction (Silk vs. Water)\", \"reason_1\": \"Video 1 clearly distinguishes between the thin, matte texture of the silk and the glossy texture of the water.\", \"reason_2\": \"Video 2 fails to distinguish materials; everything looks like a single, noisy texture.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This personalized category evaluates the specific rendering of the 'dew' and 'web' materials. Video 1 excels in rendering liquid physics, while Video 2 fails completely.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully renders a coherent spider web with distinct, physically plausible dew drops set against a cosmic background. It captures the ethereal mood and the 'glistening' quality requested. Video 2, conversely, suffers from severe morphological instability, failing to render a recognizable web structure or distinct droplets, resulting in a chaotic and abstract visual that lacks the required realism and aesthetic beauty.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Structural Integrity (Web & Dew)", "reason_1": "Video 1 clearly renders a spider web with distinct, spherical dew drops adhering to the silk strands.", "reason_2": "Video 2 fails to render a coherent web; the 'droplets' appear as random, floating blobs with no connection to any silk structure.", "score_1": 9, "score_2": 1}, {"name": "Surreal Concept Integration (Galaxies in Droplets)", "reason_1": "Video 1 successfully places the galaxy imagery within the context of the scene, creating the illusion of a cosmic backdrop seen through the dew.", "reason_2": "Video 2 presents a chaotic mix of colors and shapes that fails to convey the specific concept of 'miniature universes' inside the droplets.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Dawn & Mood)", "reason_1": "Video 1 captures the 'dim light of dawn' and 'moody background' effectively with appropriate lighting and color grading.", "reason_2": "Video 2 lacks a cohesive atmosphere, appearing more like a glitchy digital artifact than a moody natural scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the primary subjects (web, dew) and the environmental context. Video 2 fails to generate a recognizable spider web, presenting instead a chaotic array of floating shapes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The droplets and web strands in Video 1 maintain their shape and volume consistently throughout the clip.", "reason_2": "The objects in Video 2 constantly morph, stretch, and distort, lacking any physical solidity.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is sharp, with clear definition between the foreground droplets and the background.", "reason_2": "Video 2 is blurry and noisy, with significant compression-like artifacts and indistinct edges.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence (Sway vs. Distortion)", "reason_1": "Video 1 exhibits a gentle, rhythmic motion that mimics a breeze, though it is slightly repetitive.", "reason_2": "Video 2 displays erratic, jittery motion that looks like generation noise rather than physical movement.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 is plagued by severe artifacts, blurring, and a lack of object permanence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Ethereal Aesthetic & Beauty", "reason_1": "Video 1 creates a beautiful, dreamlike image that aligns perfectly with the 'ethereal beauty' requested in the prompt.", "reason_2": "Video 2 is visually unappealing and chaotic, failing to evoke any sense of beauty or wonder.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a centered composition that draws the eye to the 'portal' effect of the web.", "reason_2": "Video 2 lacks a focal point, with elements scattered randomly across the frame.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Execution (Zoom)", "reason_1": "Video 1 has a subtle push-in that mimics a slow zoom, though it is not very aggressive.", "reason_2": "Video 2 has no discernible camera movement logic, only random pixel shifting.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 succeeds in creating the 'ethereal beauty' requested, offering a pleasing composition. Video 2 is aesthetically displeasing and chaotic.", "cat_winner": "Video 1"}, {"name": "D. Physics & Material Rendering", "dims": [{"name": "Liquid Surface Tension (Droplet Shape)", "reason_1": "The droplets in Video 1 have realistic spherical tension, looking like actual water.", "reason_2": "The shapes in Video 2 are irregular and blob-like, lacking the physical properties of liquid.", "score_1": 9, "score_2": 1}, {"name": "Refraction & Light Interaction", "reason_1": "Video 1 shows light interacting with the droplets (refraction), enhancing the 'glistening' effect.", "reason_2": "Video 2 lacks realistic lighting interaction; the blobs are flat and do not refract the background.", "score_1": 8, "score_2": 2}, {"name": "Material Distinction (Silk vs. Water)", "reason_1": "Video 1 clearly distinguishes between the thin, matte texture of the silk and the glossy texture of the water.", "reason_2": "Video 2 fails to distinguish materials; everything looks like a single, noisy texture.", "score_1": 9, "score_2": 1}], "cat_reason": "This personalized category evaluates the specific rendering of the 'dew' and 'web' materials. Video 1 excels in rendering liquid physics, while Video 2 fails completely.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully renders a coherent spider web with distinct, physically plausible dew drops set against a cosmic background. It captures the ethereal mood and the 'glistening' quality requested. Video 2, conversely, suffers from severe morphological instability, failing to render a recognizable web structure or distinct droplets, resulting in a chaotic and abstract visual that lacks the required realism and aesthetic beauty.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 98.0, "total_score_2": 22.0, "elapsed_sec": 71.732} +{"pair_id": "076_seed_42", "sample_index": 76, "seed": 42, "prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Era-Specific Detail Rendering\", \"reason_1\": \"Video 1 clearly renders medieval elements like produce and fabrics, and modern elements like glass skyscrapers and cars.\", \"reason_2\": \"Video 2 is so blurry that specific details like 'fresh produce' or 'glass facades' are indistinguishable blobs.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Transition Logic & Continuity\", \"reason_1\": \"Video 1 fails the 'smooth morph' instruction, instead using a jarring, glitch-like cut where the two scenes are superimposed.\", \"reason_2\": \"Video 2 attempts a continuous camera movement that flows from one setting to the next, adhering better to the 'smooth transition' instruction despite the blur.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Definition (Crowds & Traffic)\", \"reason_1\": \"Video 1 shows distinct figures, stalls, and vehicles.\", \"reason_2\": \"Video 2 renders subjects as amorphous, ghostly smears with no recognizable anatomy or vehicle structure.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific details of both eras (produce, fabrics, skyscrapers, cars), whereas Video 2's lack of definition makes it impossible to verify these elements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is crisp, with high resolution and clear textures.\", \"reason_2\": \"The video is extremely blurry, lacking any sharp edges or texture definition.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Motion Stability & Clarity\", \"reason_1\": \"Motion is stable and objects maintain their form.\", \"reason_2\": \"The camera motion creates severe smearing artifacts, destroying the image integrity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Persistence\", \"reason_1\": \"Objects remain solid and recognizable throughout the clip.\", \"reason_2\": \"Objects dissolve into the background due to the low-quality rendering.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 maintains professional-grade sharpness and stability, while Video 2 exhibits severe motion blur and low resolution.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The colors are vibrant and the composition is professional, making for a pleasing viewing experience.\", \"reason_2\": \"The visual noise and blur make the video unpleasant and difficult to watch.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Juxtaposition\", \"reason_1\": \"The clear contrast between the two distinct scenes effectively highlights the 'evolution of commerce' requested.\", \"reason_2\": \"The narrative is lost because the visual distinction between the eras is muddied by the blur.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Vibrancy & Lighting\", \"reason_1\": \"Video 1 captures the 'vibrant hues' and 'neon lights' effectively.\", \"reason_2\": \"Colors are washed out and indistinct.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 offers a visually pleasing and colorful presentation that effectively contrasts the two eras, whereas Video 2 is visually unappealing due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity and distinct rendering of the prompt's required elements. While its transition is abrupt (a hard cut/overlay rather than a smooth morph), it successfully generates recognizable medieval stalls, produce, and modern skyscrapers with high clarity. Video 2, conversely, suffers from catastrophic motion blur and low resolution, rendering the subjects and environments as indistinguishable smears, failing to meet the basic visual standards required to depict the scene.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Era-Specific Detail Rendering", "reason_1": "Video 1 clearly renders medieval elements like produce and fabrics, and modern elements like glass skyscrapers and cars.", "reason_2": "Video 2 is so blurry that specific details like 'fresh produce' or 'glass facades' are indistinguishable blobs.", "score_1": 9, "score_2": 1}, {"name": "Transition Logic & Continuity", "reason_1": "Video 1 fails the 'smooth morph' instruction, instead using a jarring, glitch-like cut where the two scenes are superimposed.", "reason_2": "Video 2 attempts a continuous camera movement that flows from one setting to the next, adhering better to the 'smooth transition' instruction despite the blur.", "score_1": 3, "score_2": 7}, {"name": "Subject Definition (Crowds & Traffic)", "reason_1": "Video 1 shows distinct figures, stalls, and vehicles.", "reason_2": "Video 2 renders subjects as amorphous, ghostly smears with no recognizable anatomy or vehicle structure.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific details of both eras (produce, fabrics, skyscrapers, cars), whereas Video 2's lack of definition makes it impossible to verify these elements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is crisp, with high resolution and clear textures.", "reason_2": "The video is extremely blurry, lacking any sharp edges or texture definition.", "score_1": 10, "score_2": 0}, {"name": "Motion Stability & Clarity", "reason_1": "Motion is stable and objects maintain their form.", "reason_2": "The camera motion creates severe smearing artifacts, destroying the image integrity.", "score_1": 9, "score_2": 1}, {"name": "Object Persistence", "reason_1": "Objects remain solid and recognizable throughout the clip.", "reason_2": "Objects dissolve into the background due to the low-quality rendering.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 maintains professional-grade sharpness and stability, while Video 2 exhibits severe motion blur and low resolution.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The colors are vibrant and the composition is professional, making for a pleasing viewing experience.", "reason_2": "The visual noise and blur make the video unpleasant and difficult to watch.", "score_1": 9, "score_2": 1}, {"name": "Narrative Juxtaposition", "reason_1": "The clear contrast between the two distinct scenes effectively highlights the 'evolution of commerce' requested.", "reason_2": "The narrative is lost because the visual distinction between the eras is muddied by the blur.", "score_1": 8, "score_2": 2}, {"name": "Color Vibrancy & Lighting", "reason_1": "Video 1 captures the 'vibrant hues' and 'neon lights' effectively.", "reason_2": "Colors are washed out and indistinct.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 offers a visually pleasing and colorful presentation that effectively contrasts the two eras, whereas Video 2 is visually unappealing due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity and distinct rendering of the prompt's required elements. While its transition is abrupt (a hard cut/overlay rather than a smooth morph), it successfully generates recognizable medieval stalls, produce, and modern skyscrapers with high clarity. Video 2, conversely, suffers from catastrophic motion blur and low resolution, rendering the subjects and environments as indistinguishable smears, failing to meet the basic visual standards required to depict the scene.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 54.291} +{"pair_id": "076_seed_310", "sample_index": 76, "seed": 310, "prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_310_The camera soars above a lively medieval marketpla.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_310_The camera soars above a lively medieval marketpla.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_310_The camera soars above a lively medieval marketpla.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_310_The camera soars above a lively medieval marketpla.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Era-Specific Detail Fidelity (Medieval vs. Modern)\", \"reason_1\": \"Video 1 renders the medieval section as a blurry, indistinct wash of colors and the modern section as a distorted, melted mess of shapes.\", \"reason_2\": \"Video 2 clearly depicts specific medieval elements (wooden stalls, fabrics) and modern elements (glass skyscrapers, distinct car models).\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Definition & Interaction\", \"reason_1\": \"Subjects in Video 1 are amorphous blobs with no discernible features or logical interactions.\", \"reason_2\": \"Subjects in Video 2 are recognizable as humans with distinct clothing and actions, even if slightly distorted.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Stalls to Skyscrapers)\", \"reason_1\": \"Video 1 fails to establish a coherent environment; the background is a chaotic mix of textures that does not resemble a city or a market.\", \"reason_2\": \"Video 2 establishes a clear spatial relationship between the market stalls and the surrounding architecture.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 accurately renders the specific details of both eras requested, whereas Video 1 fails to produce recognizable objects or distinct eras.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry, pixelated, and lacks any fine detail.\", \"reason_2\": \"The video is sharp, with clear textures on fabrics, cobblestones, and building facades.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Objects and people constantly melt, warp, and lose their shape, exhibiting severe temporal instability.\", \"reason_2\": \"Objects maintain their shape and volume reasonably well throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"Motion is fluid but unnatural, resembling a warping liquid rather than physical movement.\", \"reason_2\": \"Movement of the camera and subjects follows basic physical logic.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains a standard of visual clarity expected of modern generation, while Video 1 exhibits severe artifacts and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Transition Execution\", \"reason_1\": \"The transition is a jarring, incoherent morph that destroys the visual information rather than telling a story.\", \"reason_2\": \"The video attempts a transition that, while abrupt, successfully shifts the viewer's focus from the market to the city context.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unpleasant due to high noise, blur, and lack of structure.\", \"reason_2\": \"The lighting, colors, and composition are pleasing and professional.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"Fails to create any atmosphere other than confusion due to the low quality.\", \"reason_2\": \"Successfully evokes the 'lively' and 'bustling' atmosphere described in the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 provides a watchable, aesthetically pleasing experience with a clear narrative progression, unlike the chaotic visual noise of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Temporal Evolution & Juxtaposition\", \"dims\": [{\"name\": \"Era Distinctiveness\", \"reason_1\": \"The two eras blend into a single, unrecognizable style with no clear distinction.\", \"reason_2\": \"The contrast between the rustic medieval foreground and the sleek modern background is visually distinct and effective.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Transition Logic\", \"reason_1\": \"The transition is a random hallucination of pixels with no logical connection between start and end states.\", \"reason_2\": \"The transition implies a shift in time or location that connects the two scenes logically.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Thematic Representation (Evolution of Commerce)\", \"reason_1\": \"Fails to convey the theme due to the inability to render the subjects of commerce (goods, people) clearly.\", \"reason_2\": \"Clearly shows the shift from traditional trade (stalls) to modern commerce (cars, high-rises).\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category evaluates the specific prompt requirement of showing the 'evolution of commerce' through a transition. Video 2 succeeds in showing the contrast.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its significantly higher visual fidelity, structural coherence, and successful depiction of the prompt's dual eras. It renders recognizable medieval details (stalls, fabrics) and modern elements (skyscrapers, cars) with reasonable clarity. Video 1 suffers from severe degradation, extreme blurriness, and a lack of morphological stability, resulting in a chaotic and unrecognizable visual experience that fails to convey the narrative transition effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Era-Specific Detail Fidelity (Medieval vs. Modern)", "reason_1": "Video 1 renders the medieval section as a blurry, indistinct wash of colors and the modern section as a distorted, melted mess of shapes.", "reason_2": "Video 2 clearly depicts specific medieval elements (wooden stalls, fabrics) and modern elements (glass skyscrapers, distinct car models).", "score_1": 1, "score_2": 9}, {"name": "Subject Definition & Interaction", "reason_1": "Subjects in Video 1 are amorphous blobs with no discernible features or logical interactions.", "reason_2": "Subjects in Video 2 are recognizable as humans with distinct clothing and actions, even if slightly distorted.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Stalls to Skyscrapers)", "reason_1": "Video 1 fails to establish a coherent environment; the background is a chaotic mix of textures that does not resemble a city or a market.", "reason_2": "Video 2 establishes a clear spatial relationship between the market stalls and the surrounding architecture.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 accurately renders the specific details of both eras requested, whereas Video 1 fails to produce recognizable objects or distinct eras.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry, pixelated, and lacks any fine detail.", "reason_2": "The video is sharp, with clear textures on fabrics, cobblestones, and building facades.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Object Permanence)", "reason_1": "Objects and people constantly melt, warp, and lose their shape, exhibiting severe temporal instability.", "reason_2": "Objects maintain their shape and volume reasonably well throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "Motion is fluid but unnatural, resembling a warping liquid rather than physical movement.", "reason_2": "Movement of the camera and subjects follows basic physical logic.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains a standard of visual clarity expected of modern generation, while Video 1 exhibits severe artifacts and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Transition Execution", "reason_1": "The transition is a jarring, incoherent morph that destroys the visual information rather than telling a story.", "reason_2": "The video attempts a transition that, while abrupt, successfully shifts the viewer's focus from the market to the city context.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unpleasant due to high noise, blur, and lack of structure.", "reason_2": "The lighting, colors, and composition are pleasing and professional.", "score_1": 1, "score_2": 9}, {"name": "Atmospheric Immersion", "reason_1": "Fails to create any atmosphere other than confusion due to the low quality.", "reason_2": "Successfully evokes the 'lively' and 'bustling' atmosphere described in the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 provides a watchable, aesthetically pleasing experience with a clear narrative progression, unlike the chaotic visual noise of Video 1.", "cat_winner": "Video 2"}, {"name": "D. Temporal Evolution & Juxtaposition", "dims": [{"name": "Era Distinctiveness", "reason_1": "The two eras blend into a single, unrecognizable style with no clear distinction.", "reason_2": "The contrast between the rustic medieval foreground and the sleek modern background is visually distinct and effective.", "score_1": 1, "score_2": 9}, {"name": "Transition Logic", "reason_1": "The transition is a random hallucination of pixels with no logical connection between start and end states.", "reason_2": "The transition implies a shift in time or location that connects the two scenes logically.", "score_1": 3, "score_2": 7}, {"name": "Thematic Representation (Evolution of Commerce)", "reason_1": "Fails to convey the theme due to the inability to render the subjects of commerce (goods, people) clearly.", "reason_2": "Clearly shows the shift from traditional trade (stalls) to modern commerce (cars, high-rises).", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category evaluates the specific prompt requirement of showing the 'evolution of commerce' through a transition. Video 2 succeeds in showing the contrast.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its significantly higher visual fidelity, structural coherence, and successful depiction of the prompt's dual eras. It renders recognizable medieval details (stalls, fabrics) and modern elements (skyscrapers, cars) with reasonable clarity. Video 1 suffers from severe degradation, extreme blurriness, and a lack of morphological stability, resulting in a chaotic and unrecognizable visual experience that fails to convey the narrative transition effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 21.0, "total_score_2": 99.0, "elapsed_sec": 70.847} +{"pair_id": "076_seed_930", "sample_index": 76, "seed": 930, "prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Era-Specific Subject Fidelity\", \"reason_1\": \"Video 1 clearly depicts a medieval setting with appropriate stalls and attire, followed by a distinct modern cityscape with skyscrapers.\", \"reason_2\": \"Video 2 fails to distinguish the eras; the 'medieval' figures wear modern jeans and t-shirts, and the 'modern' city looks like a distorted version of the same street.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Transition Logic & Morphing\", \"reason_1\": \"Video 1 executes a clear, albeit rapid, transition where the environment fundamentally changes from a market to a city.\", \"reason_2\": \"Video 2 lacks a true transition; it merely pans the camera, and the environment remains static and confusing throughout.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Stalls vs. Skyscrapers)\", \"reason_1\": \"Video 1 renders colorful fabrics and produce in the first half and glass facades in the second half.\", \"reason_2\": \"Video 2 shows vague shapes that resemble stalls but lacks the specific details of produce or fabrics, and the buildings are warped.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the two distinct eras requested. Video 2 fails to generate a medieval setting, instead showing people in modern clothing in a distorted environment.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Geometric Stability & Perspective\", \"reason_1\": \"The buildings and stalls in Video 1 maintain straight lines and logical perspective.\", \"reason_2\": \"Video 2 exhibits severe 'fisheye' distortion and warping, making the world look like it is melting.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity & Anatomical Consistency\", \"reason_1\": \"Subjects in Video 1 are recognizable as humans with consistent forms.\", \"reason_2\": \"Subjects in Video 2 are blurry, distorted blobs that lack distinct anatomical features.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is relatively sharp and details are discernible.\", \"reason_2\": \"The video is heavily blurred with significant motion artifacts and noise.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains structural integrity and clarity. Video 2 suffers from extreme geometric distortion, blurring, and warping.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Evolution of Eras)\", \"reason_1\": \"Video 1 successfully tells the story of time passing and the city evolving, as requested.\", \"reason_2\": \"Video 2 has no narrative progression; it is a single, confused shot with no temporal evolution.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Intent (Soaring vs. Drifting)\", \"reason_1\": \"Video 1 has a forward motion that mimics moving through the space, though it is more of a dolly than a 'soar'.\", \"reason_2\": \"Video 2 features a disorienting, spinning camera movement that induces motion sickness and lacks intent.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Contrast\", \"reason_1\": \"Video 1 captures the vibrant, colorful atmosphere of the market and the sleek, cool tones of the city.\", \"reason_2\": \"Video 2 has a muddy, washed-out color palette that fails to evoke either the vibrancy of the market or the neon of the city.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 conveys the requested narrative of evolution from past to present. Video 2 is a disorienting loop with no narrative progression.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the core narrative requirement of the prompt: a transition from a medieval marketplace to a modern cityscape. It maintains distinct visual identities for both eras. Video 2 fails completely to depict the medieval era, showing modern clothing in a distorted setting, and suffers from severe geometric warping and lack of narrative progression.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Era-Specific Subject Fidelity", "reason_1": "Video 1 clearly depicts a medieval setting with appropriate stalls and attire, followed by a distinct modern cityscape with skyscrapers.", "reason_2": "Video 2 fails to distinguish the eras; the 'medieval' figures wear modern jeans and t-shirts, and the 'modern' city looks like a distorted version of the same street.", "score_1": 9, "score_2": 1}, {"name": "Transition Logic & Morphing", "reason_1": "Video 1 executes a clear, albeit rapid, transition where the environment fundamentally changes from a market to a city.", "reason_2": "Video 2 lacks a true transition; it merely pans the camera, and the environment remains static and confusing throughout.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Stalls vs. Skyscrapers)", "reason_1": "Video 1 renders colorful fabrics and produce in the first half and glass facades in the second half.", "reason_2": "Video 2 shows vague shapes that resemble stalls but lacks the specific details of produce or fabrics, and the buildings are warped.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the two distinct eras requested. Video 2 fails to generate a medieval setting, instead showing people in modern clothing in a distorted environment.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Geometric Stability & Perspective", "reason_1": "The buildings and stalls in Video 1 maintain straight lines and logical perspective.", "reason_2": "Video 2 exhibits severe 'fisheye' distortion and warping, making the world look like it is melting.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity & Anatomical Consistency", "reason_1": "Subjects in Video 1 are recognizable as humans with consistent forms.", "reason_2": "Subjects in Video 2 are blurry, distorted blobs that lack distinct anatomical features.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is relatively sharp and details are discernible.", "reason_2": "The video is heavily blurred with significant motion artifacts and noise.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains structural integrity and clarity. Video 2 suffers from extreme geometric distortion, blurring, and warping.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Evolution of Eras)", "reason_1": "Video 1 successfully tells the story of time passing and the city evolving, as requested.", "reason_2": "Video 2 has no narrative progression; it is a single, confused shot with no temporal evolution.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Intent (Soaring vs. Drifting)", "reason_1": "Video 1 has a forward motion that mimics moving through the space, though it is more of a dolly than a 'soar'.", "reason_2": "Video 2 features a disorienting, spinning camera movement that induces motion sickness and lacks intent.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Contrast", "reason_1": "Video 1 captures the vibrant, colorful atmosphere of the market and the sleek, cool tones of the city.", "reason_2": "Video 2 has a muddy, washed-out color palette that fails to evoke either the vibrancy of the market or the neon of the city.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 conveys the requested narrative of evolution from past to present. Video 2 is a disorienting loop with no narrative progression.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the core narrative requirement of the prompt: a transition from a medieval marketplace to a modern cityscape. It maintains distinct visual identities for both eras. Video 2 fails completely to depict the medieval era, showing modern clothing in a distorted setting, and suffers from severe geometric warping and lack of narrative progression.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 59.136} +{"pair_id": "077_seed_42", "sample_index": 77, "seed": 42, "prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Grand Jeté vs. Other)\", \"reason_1\": \"Video 1 depicts a dancer performing a turn (pirouette or fouetté) rather than the requested 'grand jeté' (leap).\", \"reason_2\": \"Video 2 also fails to perform the 'grand jeté', showing a turn instead. Both videos hallucinated a different ballet move.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Atmosphere (Sunlight & Shadows)\", \"reason_1\": \"Video 1 perfectly renders the 'golden sunlight streaming' and 'long shadows' on the floor, creating the requested ethereal ambiance.\", \"reason_2\": \"Video 2 has flat, diffuse lighting that lacks the dramatic 'golden' quality and distinct shadows requested in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Attire & Hair)\", \"reason_1\": \"Video 1 correctly shows the bun and a white outfit, though it adds a stiff tutu instead of a 'flowing leotard'.\", \"reason_2\": \"Video 2 also adds a tutu and gets the bun right, but the outfit details are less distinct due to lower resolution.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 captures the environmental atmosphere and lighting described in the prompt much better than Video 2, although both failed the specific dance move.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Face & Limbs)\", \"reason_1\": \"The dancer's face and body proportions remain consistent and realistic throughout the rotation.\", \"reason_2\": \"Video 2 suffers from severe facial distortion (melting features) and unnatural limb warping during the movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear textures on the floor and fabric.\", \"reason_2\": \"The video is blurry, low-resolution, and lacks fine detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The movement is fluid and the physics of the skirt and hair are rendered reasonably well.\", \"reason_2\": \"The motion feels jerky and the subject appears to slide or float unnaturally rather than interacting with the floor.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity, whereas Video 2 exhibits significant artifacts and distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"The use of backlighting and volumetric light rays creates a stunning, professional aesthetic that matches the 'ethereal' prompt description.\", \"reason_2\": \"The lighting is dull and uninspired, failing to evoke any specific mood.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is well-framed within the studio space, balancing the dancer against the windows.\", \"reason_2\": \"The framing is somewhat awkward and the background elements feel cluttered and poorly integrated.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually pleasing and looks like a high-quality production.\", \"reason_2\": \"The video is visually unappealing due to artifacts and poor lighting.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 achieves a cinematic look with beautiful lighting and composition, fulfilling the 'ethereal' requirement.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, stability, and atmospheric rendering. While both videos fail to execute the specific 'grand jeté' (leap) requested—instead showing a turning movement (pirouette)—Video 1 successfully captures the 'ethereal' mood, 'golden sunlight', and 'long shadows' described in the prompt. Video 2 suffers from severe anatomical distortions (facial melting), low resolution, and flat lighting, making it significantly less realistic and aesthetically pleasing.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Grand Jeté vs. Other)", "reason_1": "Video 1 depicts a dancer performing a turn (pirouette or fouetté) rather than the requested 'grand jeté' (leap).", "reason_2": "Video 2 also fails to perform the 'grand jeté', showing a turn instead. Both videos hallucinated a different ballet move.", "score_1": 5, "score_2": 5}, {"name": "Environmental Atmosphere (Sunlight & Shadows)", "reason_1": "Video 1 perfectly renders the 'golden sunlight streaming' and 'long shadows' on the floor, creating the requested ethereal ambiance.", "reason_2": "Video 2 has flat, diffuse lighting that lacks the dramatic 'golden' quality and distinct shadows requested in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Attire & Hair)", "reason_1": "Video 1 correctly shows the bun and a white outfit, though it adds a stiff tutu instead of a 'flowing leotard'.", "reason_2": "Video 2 also adds a tutu and gets the bun right, but the outfit details are less distinct due to lower resolution.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 captures the environmental atmosphere and lighting described in the prompt much better than Video 2, although both failed the specific dance move.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Face & Limbs)", "reason_1": "The dancer's face and body proportions remain consistent and realistic throughout the rotation.", "reason_2": "Video 2 suffers from severe facial distortion (melting features) and unnatural limb warping during the movement.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear textures on the floor and fabric.", "reason_2": "The video is blurry, low-resolution, and lacks fine detail.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The movement is fluid and the physics of the skirt and hair are rendered reasonably well.", "reason_2": "The motion feels jerky and the subject appears to slide or float unnaturally rather than interacting with the floor.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity, whereas Video 2 exhibits significant artifacts and distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "The use of backlighting and volumetric light rays creates a stunning, professional aesthetic that matches the 'ethereal' prompt description.", "reason_2": "The lighting is dull and uninspired, failing to evoke any specific mood.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The subject is well-framed within the studio space, balancing the dancer against the windows.", "reason_2": "The framing is somewhat awkward and the background elements feel cluttered and poorly integrated.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually pleasing and looks like a high-quality production.", "reason_2": "The video is visually unappealing due to artifacts and poor lighting.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 achieves a cinematic look with beautiful lighting and composition, fulfilling the 'ethereal' requirement.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, stability, and atmospheric rendering. While both videos fail to execute the specific 'grand jeté' (leap) requested—instead showing a turning movement (pirouette)—Video 1 successfully captures the 'ethereal' mood, 'golden sunlight', and 'long shadows' described in the prompt. Video 2 suffers from severe anatomical distortions (facial melting), low resolution, and flat lighting, making it significantly less realistic and aesthetically pleasing.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 57.673} +{"pair_id": "077_seed_310", "sample_index": 77, "seed": 310, "prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_310_A professional ballet dancer dressed in a flowing.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_310_A professional ballet dancer dressed in a flowing.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_310_A professional ballet dancer dressed in a flowing.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_310_A professional ballet dancer dressed in a flowing.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Grand Jeté vs. Other)\", \"reason_1\": \"Video 1 depicts a dancer performing a pirouette (spinning on one axis), which is a completely different ballet move than the requested grand jeté (a large leap).\", \"reason_2\": \"Video 2 correctly depicts a dancer in a split leap (grand jeté) with legs extended horizontally, aligning perfectly with the prompt's core action requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attire Specificity (Leotard vs. Tutu)\", \"reason_1\": \"Video 1 generates a stiff, short tutu, which contradicts the prompt's request for a 'flowing white leotard'.\", \"reason_2\": \"Video 2 generates a leotard with a softer, flowing skirt that aligns much better with the description of a 'flowing' garment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting & Atmosphere\", \"reason_1\": \"Video 1 successfully captures the sunlit studio with large windows and golden light.\", \"reason_2\": \"Video 2 also successfully renders the sunlit studio environment with appropriate shadows and lighting.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 accurately depicts the requested 'grand jeté' (leap) and the 'flowing leotard', whereas Video 1 fails on both counts by showing a spin and a stiff tutu.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Face & Limbs)\", \"reason_1\": \"Video 1 suffers from severe facial distortion and morphing throughout the clip, breaking the illusion of a 'professional dancer'.\", \"reason_2\": \"Video 2 maintains a consistent and anatomically correct human form, with a clear face and natural limb proportions.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The motion in Video 1 feels slightly floaty and the footwork during the spin lacks weight and connection to the floor.\", \"reason_2\": \"Video 2 displays realistic momentum and gravity during the leap, with the dancer appearing properly grounded in the environment.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image in Video 1 is somewhat soft and lacks definition in the details of the dancer's features.\", \"reason_2\": \"Video 2 is sharper, with better definition in the fabric of the dress and the dancer's silhouette.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 maintains high anatomical integrity and realistic motion physics, while Video 1 suffers from significant facial distortion and unnatural movement.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Expression of Grace & Elegance\", \"reason_1\": \"The distortion and incorrect movement in Video 1 detract significantly from the requested 'grace and strength'.\", \"reason_2\": \"Video 2 captures the 'serene and focused' expression and the 'elegant form' requested, creating a truly aesthetic clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is acceptable but the subject feels slightly cluttered by the spinning motion.\", \"reason_2\": \"Video 2 uses a wider shot that effectively showcases the full extension of the legs and the 'mid-air' nature of the jump.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually unappealing due to the uncanny valley effect caused by the facial artifacts.\", \"reason_2\": \"Video 2 is visually pleasing, with a coherent style, good lighting, and a professional look.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully captures the 'ethereal' and 'graceful' mood requested, while Video 1's aesthetic is marred by technical artifacts.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it correctly identifies and executes the specific ballet move (grand jeté/leap) requested in the prompt, whereas Video 1 depicts a pirouette (spin). Furthermore, Video 2 demonstrates superior anatomical stability, particularly in the face, and adheres closer to the attire description (flowing leotard vs. stiff tutu).\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Grand Jeté vs. Other)", "reason_1": "Video 1 depicts a dancer performing a pirouette (spinning on one axis), which is a completely different ballet move than the requested grand jeté (a large leap).", "reason_2": "Video 2 correctly depicts a dancer in a split leap (grand jeté) with legs extended horizontally, aligning perfectly with the prompt's core action requirement.", "score_1": 1, "score_2": 9}, {"name": "Attire Specificity (Leotard vs. Tutu)", "reason_1": "Video 1 generates a stiff, short tutu, which contradicts the prompt's request for a 'flowing white leotard'.", "reason_2": "Video 2 generates a leotard with a softer, flowing skirt that aligns much better with the description of a 'flowing' garment.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting & Atmosphere", "reason_1": "Video 1 successfully captures the sunlit studio with large windows and golden light.", "reason_2": "Video 2 also successfully renders the sunlit studio environment with appropriate shadows and lighting.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 accurately depicts the requested 'grand jeté' (leap) and the 'flowing leotard', whereas Video 1 fails on both counts by showing a spin and a stiff tutu.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Face & Limbs)", "reason_1": "Video 1 suffers from severe facial distortion and morphing throughout the clip, breaking the illusion of a 'professional dancer'.", "reason_2": "Video 2 maintains a consistent and anatomically correct human form, with a clear face and natural limb proportions.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Grounding", "reason_1": "The motion in Video 1 feels slightly floaty and the footwork during the spin lacks weight and connection to the floor.", "reason_2": "Video 2 displays realistic momentum and gravity during the leap, with the dancer appearing properly grounded in the environment.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image in Video 1 is somewhat soft and lacks definition in the details of the dancer's features.", "reason_2": "Video 2 is sharper, with better definition in the fabric of the dress and the dancer's silhouette.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 maintains high anatomical integrity and realistic motion physics, while Video 1 suffers from significant facial distortion and unnatural movement.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Expression of Grace & Elegance", "reason_1": "The distortion and incorrect movement in Video 1 detract significantly from the requested 'grace and strength'.", "reason_2": "Video 2 captures the 'serene and focused' expression and the 'elegant form' requested, creating a truly aesthetic clip.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is acceptable but the subject feels slightly cluttered by the spinning motion.", "reason_2": "Video 2 uses a wider shot that effectively showcases the full extension of the legs and the 'mid-air' nature of the jump.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually unappealing due to the uncanny valley effect caused by the facial artifacts.", "reason_2": "Video 2 is visually pleasing, with a coherent style, good lighting, and a professional look.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully captures the 'ethereal' and 'graceful' mood requested, while Video 1's aesthetic is marred by technical artifacts.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it correctly identifies and executes the specific ballet move (grand jeté/leap) requested in the prompt, whereas Video 1 depicts a pirouette (spin). Furthermore, Video 2 demonstrates superior anatomical stability, particularly in the face, and adheres closer to the attire description (flowing leotard vs. stiff tutu).", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 60.806} +{"pair_id": "077_seed_930", "sample_index": 77, "seed": 930, "prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Grand Jeté vs. Other)\", \"reason_1\": \"Video 1 depicts a dancer performing a pirouette (spinning on one axis), which is a completely different ballet move than the requested grand jeté (a split leap).\", \"reason_2\": \"Video 2 correctly depicts the dancer performing a grand jeté, capturing the split-leg leap and mid-air suspension described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attire Specificity (Leotard vs. Tutu)\", \"reason_1\": \"Video 1 generates a stiff, short tutu, which contradicts the prompt's request for a 'flowing white leotard'.\", \"reason_2\": \"Video 2 generates a costume that, while still having some volume, is much closer to a flowing leotard style than the rigid tutu in Video 1.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting (Sunlight & Shadows)\", \"reason_1\": \"Video 1 features a sunlit studio, but the lighting is somewhat flat and lacks the dramatic 'long shadows' requested.\", \"reason_2\": \"Video 2 captures the 'golden sunlight' and 'long shadows' more effectively, creating a stronger contrast between the subject and the background.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 aligns with the prompt's core requirements regarding the specific dance move and costume, whereas Video 1 fails on both counts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Face & Limbs)\", \"reason_1\": \"Video 1 suffers from severe facial distortion and morphing throughout the clip, breaking the illusion of a 'professional dancer'.\", \"reason_2\": \"Video 2 maintains a consistent and recognizable human form with a stable face and limbs throughout the motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Weight\", \"reason_1\": \"The spinning motion in Video 1 feels slightly floaty and lacks the grounded sense of friction and weight transfer.\", \"reason_2\": \"Video 2 conveys a better sense of momentum and gravity during the leap, making the movement feel more physically plausible.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The video has a slightly softer focus and lower perceived resolution compared to Video 2.\", \"reason_2\": \"The subject and background are rendered with higher sharpness and better definition of edges.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 maintains a stable human form, whereas Video 1 exhibits significant facial distortion and morphing artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Ethereal Quality)\", \"reason_1\": \"The flat lighting and stiff costume in Video 1 fail to evoke the 'ethereal' quality requested.\", \"reason_2\": \"The use of backlighting and the graceful pose in Video 2 successfully creates the airy, ethereal ambiance described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is functional but standard, keeping the subject in the center without much artistic flair.\", \"reason_2\": \"The framing allows for the full extension of the limbs during the jump, enhancing the aesthetic appeal of the silhouette.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Expression of Grace & Strength\", \"reason_1\": \"The facial artifacts and stiff movement detract significantly from the portrayal of grace.\", \"reason_2\": \"The fluidity of the leap and the extended arms effectively communicate the requested themes of grace and strength.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'ethereal' and 'graceful' mood significantly better through superior lighting and composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it correctly identifies and executes the specific action requested (a grand jeté/leap), whereas Video 1 depicts a pirouette (spin). Furthermore, Video 2 demonstrates superior anatomical stability, particularly in the face, and captures the requested lighting atmosphere more effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Grand Jeté vs. Other)", "reason_1": "Video 1 depicts a dancer performing a pirouette (spinning on one axis), which is a completely different ballet move than the requested grand jeté (a split leap).", "reason_2": "Video 2 correctly depicts the dancer performing a grand jeté, capturing the split-leg leap and mid-air suspension described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Attire Specificity (Leotard vs. Tutu)", "reason_1": "Video 1 generates a stiff, short tutu, which contradicts the prompt's request for a 'flowing white leotard'.", "reason_2": "Video 2 generates a costume that, while still having some volume, is much closer to a flowing leotard style than the rigid tutu in Video 1.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting (Sunlight & Shadows)", "reason_1": "Video 1 features a sunlit studio, but the lighting is somewhat flat and lacks the dramatic 'long shadows' requested.", "reason_2": "Video 2 captures the 'golden sunlight' and 'long shadows' more effectively, creating a stronger contrast between the subject and the background.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 aligns with the prompt's core requirements regarding the specific dance move and costume, whereas Video 1 fails on both counts.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Face & Limbs)", "reason_1": "Video 1 suffers from severe facial distortion and morphing throughout the clip, breaking the illusion of a 'professional dancer'.", "reason_2": "Video 2 maintains a consistent and recognizable human form with a stable face and limbs throughout the motion.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Weight", "reason_1": "The spinning motion in Video 1 feels slightly floaty and lacks the grounded sense of friction and weight transfer.", "reason_2": "Video 2 conveys a better sense of momentum and gravity during the leap, making the movement feel more physically plausible.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "The video has a slightly softer focus and lower perceived resolution compared to Video 2.", "reason_2": "The subject and background are rendered with higher sharpness and better definition of edges.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 maintains a stable human form, whereas Video 1 exhibits significant facial distortion and morphing artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Ethereal Quality)", "reason_1": "The flat lighting and stiff costume in Video 1 fail to evoke the 'ethereal' quality requested.", "reason_2": "The use of backlighting and the graceful pose in Video 2 successfully creates the airy, ethereal ambiance described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing is functional but standard, keeping the subject in the center without much artistic flair.", "reason_2": "The framing allows for the full extension of the limbs during the jump, enhancing the aesthetic appeal of the silhouette.", "score_1": 4, "score_2": 6}, {"name": "Expression of Grace & Strength", "reason_1": "The facial artifacts and stiff movement detract significantly from the portrayal of grace.", "reason_2": "The fluidity of the leap and the extended arms effectively communicate the requested themes of grace and strength.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'ethereal' and 'graceful' mood significantly better through superior lighting and composition.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it correctly identifies and executes the specific action requested (a grand jeté/leap), whereas Video 1 depicts a pirouette (spin). Furthermore, Video 2 demonstrates superior anatomical stability, particularly in the face, and captures the requested lighting atmosphere more effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 58.718} +{"pair_id": "078_seed_42", "sample_index": 78, "seed": 42, "prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_42_A sprawling Martian cityscape unfolds under a crim.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_42_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_42_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_42_A sprawling Martian cityscape unfolds under a crim.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Specificity (Holographic Advertisements)\", \"reason_1\": \"Video 1 displays generic, static, and blurry posters on the building facade that lack the requested 'dynamic' and 'holographic' qualities.\", \"reason_2\": \"Video 2 features a prominent building with bright, shifting neon screens that clearly represent the requested 'dynamic holographic advertisements' and 'futuristic imagery'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Martian Cityscape)\", \"reason_1\": \"Video 1 captures the crimson sky but the cityscape feels sparse and lacks the 'bustling' density implied by the prompt.\", \"reason_2\": \"Video 2 depicts a denser, more complex urban environment with a rich crimson atmosphere that feels more like a 'sprawling metropolis'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Zoom & Emergence)\", \"reason_1\": \"The camera movement in Video 1 is a simple forward track that lacks the dramatic 'zoom in' effect to reveal the skyscraper.\", \"reason_2\": \"Video 2 executes a distinct zoom that effectively transitions from the wider city view to the close-up details of the skyscraper's facade.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately captures the specific details of the prompt, particularly the 'dynamic holographic advertisements' and the 'colossal skyscraper' emerging via a zoom. Video 1 fails to render the advertisements as holographic or dynamic, presenting them as static, low-resolution textures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is heavily blurred, with low resolution and muddy textures that obscure details.\", \"reason_2\": \"The video is sharp and crisp, with clear definition in the neon lights, building structures, and background elements.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Reflection Physics\", \"reason_1\": \"Lighting is flat and dull; the requested 'vibrant reflections' on metallic surfaces are largely absent.\", \"reason_2\": \"The video successfully renders the 'kaleidoscope of colors' reflecting off the building's glassy exterior, creating a realistic interaction between light and surface.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Object Stability (Vehicles)\", \"reason_1\": \"The flying cars are somewhat amorphous and lack distinct structural integrity.\", \"reason_2\": \"While there is some motion blur, the vehicles and buildings maintain better structural coherence throughout the zoom.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates significantly higher resolution, sharper textures, and better lighting physics. Video 1 suffers from severe blurriness and lack of definition.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cyberpunk Aesthetic & Color Palette\", \"reason_1\": \"The color palette is muted and lacks the 'neon-lit' vibrancy requested.\", \"reason_2\": \"The video utilizes a strong contrast between the crimson sky and the electric blue/purple neon lights, perfectly nailing the 'mesmerizing blend of technology and architecture'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition (The Reveal)\", \"reason_1\": \"The framing is functional but uninspired, failing to highlight the grandeur of the skyscraper.\", \"reason_2\": \"The composition effectively uses the zoom to center the viewer's attention on the detailed facade, creating a sense of scale and awe.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The low fidelity and lack of detail make the video visually unengaging.\", \"reason_2\": \"The vibrant colors, sharp details, and dynamic lighting make for a visually striking and professional-looking clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'mesmerizing' and 'futuristic' aesthetic much better through superior color grading and composition. The zoom creates a stronger narrative reveal.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully renders the complex visual elements requested in the prompt, specifically the 'dynamic holographic advertisements' and the 'glassy exterior' with vibrant reflections. Video 1 suffers from low resolution, muddy textures, and fails to depict the advertisements as dynamic or holographic, resulting in a generic and blurry output compared to the sharp, neon-lit aesthetic of Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Specificity (Holographic Advertisements)", "reason_1": "Video 1 displays generic, static, and blurry posters on the building facade that lack the requested 'dynamic' and 'holographic' qualities.", "reason_2": "Video 2 features a prominent building with bright, shifting neon screens that clearly represent the requested 'dynamic holographic advertisements' and 'futuristic imagery'.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Martian Cityscape)", "reason_1": "Video 1 captures the crimson sky but the cityscape feels sparse and lacks the 'bustling' density implied by the prompt.", "reason_2": "Video 2 depicts a denser, more complex urban environment with a rich crimson atmosphere that feels more like a 'sprawling metropolis'.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Zoom & Emergence)", "reason_1": "The camera movement in Video 1 is a simple forward track that lacks the dramatic 'zoom in' effect to reveal the skyscraper.", "reason_2": "Video 2 executes a distinct zoom that effectively transitions from the wider city view to the close-up details of the skyscraper's facade.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately captures the specific details of the prompt, particularly the 'dynamic holographic advertisements' and the 'colossal skyscraper' emerging via a zoom. Video 1 fails to render the advertisements as holographic or dynamic, presenting them as static, low-resolution textures.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is heavily blurred, with low resolution and muddy textures that obscure details.", "reason_2": "The video is sharp and crisp, with clear definition in the neon lights, building structures, and background elements.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Reflection Physics", "reason_1": "Lighting is flat and dull; the requested 'vibrant reflections' on metallic surfaces are largely absent.", "reason_2": "The video successfully renders the 'kaleidoscope of colors' reflecting off the building's glassy exterior, creating a realistic interaction between light and surface.", "score_1": 3, "score_2": 7}, {"name": "Object Stability (Vehicles)", "reason_1": "The flying cars are somewhat amorphous and lack distinct structural integrity.", "reason_2": "While there is some motion blur, the vehicles and buildings maintain better structural coherence throughout the zoom.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates significantly higher resolution, sharper textures, and better lighting physics. Video 1 suffers from severe blurriness and lack of definition.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cyberpunk Aesthetic & Color Palette", "reason_1": "The color palette is muted and lacks the 'neon-lit' vibrancy requested.", "reason_2": "The video utilizes a strong contrast between the crimson sky and the electric blue/purple neon lights, perfectly nailing the 'mesmerizing blend of technology and architecture'.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition (The Reveal)", "reason_1": "The framing is functional but uninspired, failing to highlight the grandeur of the skyscraper.", "reason_2": "The composition effectively uses the zoom to center the viewer's attention on the detailed facade, creating a sense of scale and awe.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The low fidelity and lack of detail make the video visually unengaging.", "reason_2": "The vibrant colors, sharp details, and dynamic lighting make for a visually striking and professional-looking clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'mesmerizing' and 'futuristic' aesthetic much better through superior color grading and composition. The zoom creates a stronger narrative reveal.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully renders the complex visual elements requested in the prompt, specifically the 'dynamic holographic advertisements' and the 'glassy exterior' with vibrant reflections. Video 1 suffers from low resolution, muddy textures, and fails to depict the advertisements as dynamic or holographic, resulting in a generic and blurry output compared to the sharp, neon-lit aesthetic of Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 58.477} +{"pair_id": "078_seed_310", "sample_index": 78, "seed": 310, "prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_310_A sprawling Martian cityscape unfolds under a crim.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_310_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_310_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_310_A sprawling Martian cityscape unfolds under a crim.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Martian/Crimson Sky)\", \"reason_1\": \"Video 1 features a pinkish hue but lacks the distinct 'crimson' Martian atmosphere, looking more like a generic sunset.\", \"reason_2\": \"Video 2 features a deep, saturated red sky that perfectly matches the 'crimson' descriptor and establishes a strong Martian identity.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Specificity (Holographic Advertisements)\", \"reason_1\": \"The billboards in Video 1 are blurry and indistinct, lacking the 'dynamic' and 'flickering' quality requested.\", \"reason_2\": \"Video 2 renders large, distinct screens with shifting content and bright neon colors, closely matching the description of 'dynamic holographic advertisements'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Trajectory (Zoom & Skyscraper Emergence)\", \"reason_1\": \"Video 1 moves forward but fails to clearly 'zoom in' on a specific colossal skyscraper; the destination is vague.\", \"reason_2\": \"Video 2 executes a clear forward zoom that culminates in a massive building dominating the frame, fulfilling the narrative arc of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Object Attributes (Sleek Flying Cars)\", \"reason_1\": \"The vehicles in Video 1 are amorphous blobs that lack definition or 'sleekness'.\", \"reason_2\": \"Video 2 depicts vehicles with clearer shapes and metallic textures, appearing more 'sleek' and futuristic.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately captures the specific environmental cues (crimson sky) and the narrative progression (zooming into a specific building with ads), whereas Video 1 is vague and lacks the distinct 'Martian' atmosphere.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and low-resolution, making details hard to discern.\", \"reason_2\": \"The image is sharp, with clear edges on buildings and readable details on the digital billboards.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability (Geometry)\", \"reason_1\": \"The road and buildings warp and stretch unnaturally as the camera moves (severe temporal inconsistency).\", \"reason_2\": \"The structures maintain their shape and perspective reasonably well during the camera movement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Reflection Quality\", \"reason_1\": \"Reflections are muddy and indistinct due to the overall blur.\", \"reason_2\": \"Video 2 successfully renders 'vibrant reflections' on the wet/metallic road surfaces, adding to the realism.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, offering a sharp, stable image with good lighting. Video 1 is plagued by low resolution, blurriness, and significant geometric warping.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cyberpunk/Sci-Fi Aesthetic\", \"reason_1\": \"The aesthetic is washed out and lacks the 'neon-lit' vibrancy described.\", \"reason_2\": \"The contrast between the red sky and the blue/purple neon lights creates a striking, cohesive sci-fi aesthetic.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Scale\", \"reason_1\": \"The framing is wide and loose, failing to convey the 'colossal' nature of the skyscraper.\", \"reason_2\": \"The composition effectively uses the zoom to make the final building feel massive and imposing.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to artifacts and blur.\", \"reason_2\": \"The video is engaging, colorful, and looks like a coherent piece of concept art brought to life.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 creates a compelling sci-fi atmosphere with strong color contrast and a clear focal point, whereas Video 1 feels like a low-quality draft.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in visual fidelity, semantic accuracy, and aesthetic impact. It successfully renders the 'crimson sky' and 'colossal skyscraper' with high-definition details, whereas Video 1 suffers from severe blurring, warping artifacts, and a lack of distinct subject definition.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Martian/Crimson Sky)", "reason_1": "Video 1 features a pinkish hue but lacks the distinct 'crimson' Martian atmosphere, looking more like a generic sunset.", "reason_2": "Video 2 features a deep, saturated red sky that perfectly matches the 'crimson' descriptor and establishes a strong Martian identity.", "score_1": 3, "score_2": 7}, {"name": "Subject Specificity (Holographic Advertisements)", "reason_1": "The billboards in Video 1 are blurry and indistinct, lacking the 'dynamic' and 'flickering' quality requested.", "reason_2": "Video 2 renders large, distinct screens with shifting content and bright neon colors, closely matching the description of 'dynamic holographic advertisements'.", "score_1": 2, "score_2": 8}, {"name": "Camera Trajectory (Zoom & Skyscraper Emergence)", "reason_1": "Video 1 moves forward but fails to clearly 'zoom in' on a specific colossal skyscraper; the destination is vague.", "reason_2": "Video 2 executes a clear forward zoom that culminates in a massive building dominating the frame, fulfilling the narrative arc of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Object Attributes (Sleek Flying Cars)", "reason_1": "The vehicles in Video 1 are amorphous blobs that lack definition or 'sleekness'.", "reason_2": "Video 2 depicts vehicles with clearer shapes and metallic textures, appearing more 'sleek' and futuristic.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately captures the specific environmental cues (crimson sky) and the narrative progression (zooming into a specific building with ads), whereas Video 1 is vague and lacks the distinct 'Martian' atmosphere.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and low-resolution, making details hard to discern.", "reason_2": "The image is sharp, with clear edges on buildings and readable details on the digital billboards.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability (Geometry)", "reason_1": "The road and buildings warp and stretch unnaturally as the camera moves (severe temporal inconsistency).", "reason_2": "The structures maintain their shape and perspective reasonably well during the camera movement.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Reflection Quality", "reason_1": "Reflections are muddy and indistinct due to the overall blur.", "reason_2": "Video 2 successfully renders 'vibrant reflections' on the wet/metallic road surfaces, adding to the realism.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, offering a sharp, stable image with good lighting. Video 1 is plagued by low resolution, blurriness, and significant geometric warping.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cyberpunk/Sci-Fi Aesthetic", "reason_1": "The aesthetic is washed out and lacks the 'neon-lit' vibrancy described.", "reason_2": "The contrast between the red sky and the blue/purple neon lights creates a striking, cohesive sci-fi aesthetic.", "score_1": 3, "score_2": 7}, {"name": "Composition & Scale", "reason_1": "The framing is wide and loose, failing to convey the 'colossal' nature of the skyscraper.", "reason_2": "The composition effectively uses the zoom to make the final building feel massive and imposing.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to artifacts and blur.", "reason_2": "The video is engaging, colorful, and looks like a coherent piece of concept art brought to life.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 creates a compelling sci-fi atmosphere with strong color contrast and a clear focal point, whereas Video 1 feels like a low-quality draft.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in visual fidelity, semantic accuracy, and aesthetic impact. It successfully renders the 'crimson sky' and 'colossal skyscraper' with high-definition details, whereas Video 1 suffers from severe blurring, warping artifacts, and a lack of distinct subject definition.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 74.0, "elapsed_sec": 60.506} +{"pair_id": "078_seed_930", "sample_index": 78, "seed": 930, "prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Martian Sky & Cityscape)\", \"reason_1\": \"Video 1 clearly depicts a reddish-orange sky and a cityscape that feels expansive and open, fitting the 'Martian' description.\", \"reason_2\": \"Video 2 is dominated by a heavy magenta/purple tint that obscures the 'crimson sky' and makes the environment feel more like a generic neon tunnel than a Martian city.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Action (Flying Cars & Weaving)\", \"reason_1\": \"Video 1 shows vehicles at varying heights, suggesting the 'flying' and 'weaving' motion described in the prompt.\", \"reason_2\": \"Video 2 depicts vehicles that appear to be driving on a flat surface or hovering very low, lacking the verticality implied by 'flying cars'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Key Object Detail (Holographic Advertisements)\", \"reason_1\": \"Video 1 features large, distinct screens on the buildings that appear to display changing content, aligning well with the 'dynamic holographic advertisements' requirement.\", \"reason_2\": \"Video 2 includes screens, but they are less distinct and blend into the general noise of the scene, lacking the 'colossal' presence requested.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately captures the specific environmental cues (Martian sky, flying cars) and the scale of the city. Video 2 deviates by presenting a scene that looks more like a standard cyberpunk street with ground-based traffic and a purple color palette.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Geometry Consistency)\", \"reason_1\": \"The buildings and vehicles in Video 1 maintain their shape and structure reasonably well throughout the camera movement.\", \"reason_2\": \"Video 2 exhibits severe warping; the buildings and cars constantly shift shape and 'melt' as the camera moves, breaking immersion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image in Video 1 is relatively sharp with defined edges on the architecture.\", \"reason_2\": \"Video 2 is blurry and noisy, with a 'deep-fried' visual quality that obscures details.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The camera glide in Video 1 is smooth and consistent, creating a sense of forward momentum.\", \"reason_2\": \"The motion in Video 2 feels jittery, and the background elements do not move with proper parallax, creating a disjointed visual experience.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains structural integrity throughout the clip. Video 2 suffers from significant hallucinations, where buildings and cars warp, melt, and change shape drastically as the camera moves.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Atmospheric Tone\", \"reason_1\": \"Video 1 successfully blends the 'crimson' Martian atmosphere with the 'neon' city lights, creating a cohesive look.\", \"reason_2\": \"Video 2 is oversaturated with magenta and purple, lacking the contrast and specific color palette requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Scale\", \"reason_1\": \"The framing in Video 1 conveys the height of the skyscrapers and the depth of the avenue.\", \"reason_2\": \"Video 2 feels claustrophobic and lacks a clear focal point or sense of scale.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually engaging and looks like a coherent sci-fi scene.\", \"reason_2\": \"Video 2 is difficult to watch due to the excessive visual artifacts and lack of definition.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a cinematic composition that effectively conveys the scale of a metropolis. Video 2 feels cluttered and visually aggressive due to the color saturation and lack of depth.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior semantic alignment with the 'Martian' setting and 'flying cars' requirement, while maintaining significantly better temporal stability. Video 2 suffers from severe morphological warping, incorrect color grading (leaning too heavily into purple/magenta rather than crimson), and a lack of verticality in the vehicle movement.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Martian Sky & Cityscape)", "reason_1": "Video 1 clearly depicts a reddish-orange sky and a cityscape that feels expansive and open, fitting the 'Martian' description.", "reason_2": "Video 2 is dominated by a heavy magenta/purple tint that obscures the 'crimson sky' and makes the environment feel more like a generic neon tunnel than a Martian city.", "score_1": 8, "score_2": 2}, {"name": "Subject Action (Flying Cars & Weaving)", "reason_1": "Video 1 shows vehicles at varying heights, suggesting the 'flying' and 'weaving' motion described in the prompt.", "reason_2": "Video 2 depicts vehicles that appear to be driving on a flat surface or hovering very low, lacking the verticality implied by 'flying cars'.", "score_1": 7, "score_2": 3}, {"name": "Key Object Detail (Holographic Advertisements)", "reason_1": "Video 1 features large, distinct screens on the buildings that appear to display changing content, aligning well with the 'dynamic holographic advertisements' requirement.", "reason_2": "Video 2 includes screens, but they are less distinct and blend into the general noise of the scene, lacking the 'colossal' presence requested.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately captures the specific environmental cues (Martian sky, flying cars) and the scale of the city. Video 2 deviates by presenting a scene that looks more like a standard cyberpunk street with ground-based traffic and a purple color palette.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Geometry Consistency)", "reason_1": "The buildings and vehicles in Video 1 maintain their shape and structure reasonably well throughout the camera movement.", "reason_2": "Video 2 exhibits severe warping; the buildings and cars constantly shift shape and 'melt' as the camera moves, breaking immersion.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image in Video 1 is relatively sharp with defined edges on the architecture.", "reason_2": "Video 2 is blurry and noisy, with a 'deep-fried' visual quality that obscures details.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Coherence", "reason_1": "The camera glide in Video 1 is smooth and consistent, creating a sense of forward momentum.", "reason_2": "The motion in Video 2 feels jittery, and the background elements do not move with proper parallax, creating a disjointed visual experience.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains structural integrity throughout the clip. Video 2 suffers from significant hallucinations, where buildings and cars warp, melt, and change shape drastically as the camera moves.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Atmospheric Tone", "reason_1": "Video 1 successfully blends the 'crimson' Martian atmosphere with the 'neon' city lights, creating a cohesive look.", "reason_2": "Video 2 is oversaturated with magenta and purple, lacking the contrast and specific color palette requested by the prompt.", "score_1": 8, "score_2": 2}, {"name": "Composition & Scale", "reason_1": "The framing in Video 1 conveys the height of the skyscrapers and the depth of the avenue.", "reason_2": "Video 2 feels claustrophobic and lacks a clear focal point or sense of scale.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually engaging and looks like a coherent sci-fi scene.", "reason_2": "Video 2 is difficult to watch due to the excessive visual artifacts and lack of definition.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a cinematic composition that effectively conveys the scale of a metropolis. Video 2 feels cluttered and visually aggressive due to the color saturation and lack of depth.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior semantic alignment with the 'Martian' setting and 'flying cars' requirement, while maintaining significantly better temporal stability. Video 2 suffers from severe morphological warping, incorrect color grading (leaning too heavily into purple/magenta rather than crimson), and a lack of verticality in the vehicle movement.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 60.452} +{"pair_id": "079_seed_42", "sample_index": 79, "seed": 42, "prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_42_As the sun dips below the horizon casting a warm g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_42_As the sun dips below the horizon casting a warm g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_42_As the sun dips below the horizon casting a warm g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_42_As the sun dips below the horizon casting a warm g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Placement (Hut & Greenery)\", \"reason_1\": \"Video 1 places the hut on the shore, but the 'framing' greenery is rendered as a blurry, intrusive foreground element that obscures the view.\", \"reason_2\": \"Video 2 places the hut in the distance as requested and uses greenery to frame the shot naturally without blocking the scene.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 has a sunset palette, but the lighting feels flatter and less dynamic compared to the vibrant glow of Video 2.\", \"reason_2\": \"Video 2 captures the 'warm golden glow' and 'vibrant hues' with high saturation and contrast, matching the prompt's mood.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Waves & Breeze)\", \"reason_1\": \"Video 1 also depicts the waves and swaying fronds, though the motion is slightly less fluid.\", \"reason_2\": \"Video 2 depicts the gentle waves and swaying fronds effectively.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 better interprets the spatial relationships described in the prompt, particularly the 'framing' of the scene and the placement of the hut.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video appears soft, slightly blurry, and lacks the definition seen in Video 2.\", \"reason_2\": \"The image is crisp, with well-defined textures in the water and sand.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Foreground Texture Stability\", \"reason_1\": \"The palm fronds in the immediate foreground exhibit unnatural warping and morphing artifacts as they move.\", \"reason_2\": \"The palm fronds in the foreground remain structurally consistent while moving.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Water Physics & Flow\", \"reason_1\": \"The water motion is acceptable but feels slightly more artificial and less integrated with the shore.\", \"reason_2\": \"The wave motion is rhythmic and interacts realistically with the shoreline.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates significantly higher resolution and stability, whereas Video 1 suffers from blurriness and texture warping.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The composition is poor; the large, out-of-focus palm leaves in the foreground dominate the frame and distract from the sunset and hut.\", \"reason_2\": \"The composition is excellent, using the palm leaves to create a natural window looking out at the sunset and hut.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Mood & Serenity\", \"reason_1\": \"The visual clutter in the foreground disrupts the sense of peace and tranquility.\", \"reason_2\": \"The clear view and balanced colors successfully evoke the requested 'perfect moment of peace'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Harmony\", \"reason_1\": \"The colors are somewhat washed out and lack the vibrancy described in the prompt.\", \"reason_2\": \"The colors are rich and harmonious, blending the greens of the trees with the oranges of the sky.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a much more pleasing composition that adheres to the 'tranquil' and 'cozy' aesthetic, while Video 1 is visually cluttered.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, sharper resolution, and more effective composition. It successfully frames the scene with palm fronds as requested without obstructing the view, whereas Video 1 suffers from intrusive foreground elements and lower image quality. Video 2 also captures the vibrant golden glow of the sunset with greater dynamic range and color saturation.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Placement (Hut & Greenery)", "reason_1": "Video 1 places the hut on the shore, but the 'framing' greenery is rendered as a blurry, intrusive foreground element that obscures the view.", "reason_2": "Video 2 places the hut in the distance as requested and uses greenery to frame the shot naturally without blocking the scene.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 has a sunset palette, but the lighting feels flatter and less dynamic compared to the vibrant glow of Video 2.", "reason_2": "Video 2 captures the 'warm golden glow' and 'vibrant hues' with high saturation and contrast, matching the prompt's mood.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Waves & Breeze)", "reason_1": "Video 1 also depicts the waves and swaying fronds, though the motion is slightly less fluid.", "reason_2": "Video 2 depicts the gentle waves and swaying fronds effectively.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 better interprets the spatial relationships described in the prompt, particularly the 'framing' of the scene and the placement of the hut.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video appears soft, slightly blurry, and lacks the definition seen in Video 2.", "reason_2": "The image is crisp, with well-defined textures in the water and sand.", "score_1": 2, "score_2": 8}, {"name": "Foreground Texture Stability", "reason_1": "The palm fronds in the immediate foreground exhibit unnatural warping and morphing artifacts as they move.", "reason_2": "The palm fronds in the foreground remain structurally consistent while moving.", "score_1": 3, "score_2": 7}, {"name": "Water Physics & Flow", "reason_1": "The water motion is acceptable but feels slightly more artificial and less integrated with the shore.", "reason_2": "The wave motion is rhythmic and interacts realistically with the shoreline.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates significantly higher resolution and stability, whereas Video 1 suffers from blurriness and texture warping.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The composition is poor; the large, out-of-focus palm leaves in the foreground dominate the frame and distract from the sunset and hut.", "reason_2": "The composition is excellent, using the palm leaves to create a natural window looking out at the sunset and hut.", "score_1": 1, "score_2": 9}, {"name": "Mood & Serenity", "reason_1": "The visual clutter in the foreground disrupts the sense of peace and tranquility.", "reason_2": "The clear view and balanced colors successfully evoke the requested 'perfect moment of peace'.", "score_1": 3, "score_2": 7}, {"name": "Color Harmony", "reason_1": "The colors are somewhat washed out and lack the vibrancy described in the prompt.", "reason_2": "The colors are rich and harmonious, blending the greens of the trees with the oranges of the sky.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a much more pleasing composition that adheres to the 'tranquil' and 'cozy' aesthetic, while Video 1 is visually cluttered.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, sharper resolution, and more effective composition. It successfully frames the scene with palm fronds as requested without obstructing the view, whereas Video 1 suffers from intrusive foreground elements and lower image quality. Video 2 also captures the vibrant golden glow of the sunset with greater dynamic range and color saturation.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 56.27} +{"pair_id": "079_seed_310", "sample_index": 79, "seed": 310, "prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_310_As the sun dips below the horizon casting a warm g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_310_As the sun dips below the horizon casting a warm g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_310_As the sun dips below the horizon casting a warm g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_310_As the sun dips below the horizon casting a warm g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Presence (Hut & Greenery)\", \"reason_1\": \"Video 1 clearly features the hut and lush greenery as requested.\", \"reason_2\": \"Video 2 also successfully includes the hut and greenery, placing them in a similar spatial arrangement.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 perfectly renders the 'warm golden glow' and 'vibrant hues' described, creating a rich sunset atmosphere.\", \"reason_2\": \"Video 2 has a flatter, cooler color palette that lacks the intense golden warmth specified in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Swaying & Caressing)\", \"reason_1\": \"Video 1 depicts the palm fronds 'swaying gracefully' and waves 'caressing' the shore with distinct, rhythmic motion.\", \"reason_2\": \"Video 2 is nearly static; the movement is so minimal it fails to convey the 'rustling' or 'swaying' described.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the specific atmospheric and motion-based requirements of the prompt much better than Video 2, particularly regarding the 'golden glow' and the 'swaying' of the fronds.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Magnitude & Fluidity\", \"reason_1\": \"Video 1 displays fluid, continuous motion in the water and trees, characteristic of a high-quality video generation.\", \"reason_2\": \"Video 2 has almost zero perceptible motion, resembling a still photograph rather than a video.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 maintains good sharpness and texture detail in the water foam and palm leaves.\", \"reason_2\": \"Video 2 is clear but lacks the textural depth seen in Video 1, appearing slightly more washed out.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Physics Plausibility (Water/Wind)\", \"reason_1\": \"The wave movement in Video 1 follows logical physical patterns of rolling onto the shore.\", \"reason_2\": \"Due to the lack of movement, Video 2 fails to demonstrate any physical plausibility regarding wind or water dynamics.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates actual video generation capabilities with fluid motion, whereas Video 2 suffers from extreme stiffness, lacking the necessary dynamic realism for a beach scene.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses the palm fronds in the foreground to create a natural frame, adding depth to the shot.\", \"reason_2\": \"Video 2 has a decent composition but feels flatter and less immersive due to the lack of foreground depth.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors in Video 1 are vibrant and harmonious, effectively selling the 'sunset' aesthetic.\", \"reason_2\": \"Video 2's colors are somewhat muted and lack the dynamic range expected of a sunset scene.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Mood Evocation (Tranquility)\", \"reason_1\": \"The gentle motion in Video 1 successfully evokes the 'peace and tranquility' requested.\", \"reason_2\": \"Video 2 feels stagnant rather than tranquil; the lack of life makes it feel artificial.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a more immersive and aesthetically pleasing experience through better framing and color grading, effectively evoking the requested mood of tranquility.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully generates a dynamic video with the requested motion (swaying fronds, rolling waves) and vibrant lighting. Video 2, while semantically accurate in terms of objects, is essentially a static image with negligible movement, failing to capture the dynamic nature of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Presence (Hut & Greenery)", "reason_1": "Video 1 clearly features the hut and lush greenery as requested.", "reason_2": "Video 2 also successfully includes the hut and greenery, placing them in a similar spatial arrangement.", "score_1": 5, "score_2": 5}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 perfectly renders the 'warm golden glow' and 'vibrant hues' described, creating a rich sunset atmosphere.", "reason_2": "Video 2 has a flatter, cooler color palette that lacks the intense golden warmth specified in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Swaying & Caressing)", "reason_1": "Video 1 depicts the palm fronds 'swaying gracefully' and waves 'caressing' the shore with distinct, rhythmic motion.", "reason_2": "Video 2 is nearly static; the movement is so minimal it fails to convey the 'rustling' or 'swaying' described.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the specific atmospheric and motion-based requirements of the prompt much better than Video 2, particularly regarding the 'golden glow' and the 'swaying' of the fronds.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Magnitude & Fluidity", "reason_1": "Video 1 displays fluid, continuous motion in the water and trees, characteristic of a high-quality video generation.", "reason_2": "Video 2 has almost zero perceptible motion, resembling a still photograph rather than a video.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 maintains good sharpness and texture detail in the water foam and palm leaves.", "reason_2": "Video 2 is clear but lacks the textural depth seen in Video 1, appearing slightly more washed out.", "score_1": 6, "score_2": 4}, {"name": "Physics Plausibility (Water/Wind)", "reason_1": "The wave movement in Video 1 follows logical physical patterns of rolling onto the shore.", "reason_2": "Due to the lack of movement, Video 2 fails to demonstrate any physical plausibility regarding wind or water dynamics.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates actual video generation capabilities with fluid motion, whereas Video 2 suffers from extreme stiffness, lacking the necessary dynamic realism for a beach scene.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses the palm fronds in the foreground to create a natural frame, adding depth to the shot.", "reason_2": "Video 2 has a decent composition but feels flatter and less immersive due to the lack of foreground depth.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors in Video 1 are vibrant and harmonious, effectively selling the 'sunset' aesthetic.", "reason_2": "Video 2's colors are somewhat muted and lack the dynamic range expected of a sunset scene.", "score_1": 8, "score_2": 2}, {"name": "Mood Evocation (Tranquility)", "reason_1": "The gentle motion in Video 1 successfully evokes the 'peace and tranquility' requested.", "reason_2": "Video 2 feels stagnant rather than tranquil; the lack of life makes it feel artificial.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a more immersive and aesthetically pleasing experience through better framing and color grading, effectively evoking the requested mood of tranquility.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully generates a dynamic video with the requested motion (swaying fronds, rolling waves) and vibrant lighting. Video 2, while semantically accurate in terms of objects, is essentially a static image with negligible movement, failing to capture the dynamic nature of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 68.0, "total_score_2": 22.0, "elapsed_sec": 59.75} +{"pair_id": "079_seed_930", "sample_index": 79, "seed": 930, "prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Presence & Placement (Hut & Greenery)\", \"reason_1\": \"Video 1 correctly places the hut and palm fronds, but the hut is somewhat obscured by the foreground elements and lacks distinct definition.\", \"reason_2\": \"Video 2 clearly depicts the hut in the distance and uses the palm fronds effectively as a framing device, matching the prompt's structural description well.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Lighting (Golden Glow & Dusk)\", \"reason_1\": \"Video 1 captures the sunset colors but the lighting feels flatter and less dynamic on the water surface.\", \"reason_2\": \"Video 2 excels in rendering the 'warm golden glow' and 'fading light,' with realistic reflections on the wet sand and water that enhance the dusk atmosphere.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Waves & Swaying)\", \"reason_1\": \"The waves in Video 1 appear somewhat stiff and lack the 'gentle' rhythmic quality described.\", \"reason_2\": \"Video 2 captures the 'rhythmically caress' of the waves perfectly, with realistic foam patterns and a gentle, natural sway of the palm fronds.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Both videos contain the required elements, but Video 2 integrates them more naturally. The 'gentle waves' and 'swaying fronds' are depicted with greater fidelity to the prompt's description of grace and rhythm.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is noticeably soft and lacks fine detail, particularly in the sand and water textures.\", \"reason_2\": \"The video is crisp and high-resolution, showing distinct grains of sand, individual water droplets, and sharp edges on the palm leaves.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Fluid Dynamics & Physics\", \"reason_1\": \"The water movement feels slightly artificial, resembling a warping texture rather than fluid simulation.\", \"reason_2\": \"The water exhibits realistic physics, including proper momentum, foam dissipation, and interaction with the shoreline.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Temporal Stability (Foliage)\", \"reason_1\": \"The palm fronds in the foreground exhibit some minor morphing or jittering artifacts during movement.\", \"reason_2\": \"The movement of the leaves is smooth and consistent, maintaining structural integrity throughout the clip.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior, offering a sharp, high-definition image with realistic physics. Video 1 appears softer, with lower resolution textures and less convincing motion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is a bit cluttered, with the large palm trunk on the left dominating the view and blocking the hut.\", \"reason_2\": \"The composition is balanced and professional, using the palm fronds to frame the sunset and hut without obstructing the view.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Mood & Emotional Impact (Tranquility)\", \"reason_1\": \"While peaceful, the lower visual quality detracts slightly from the immersive 'serene ambiance'.\", \"reason_2\": \"The combination of high-quality visuals, soft lighting, and gentle motion perfectly evokes the requested sense of 'peace and tranquility'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"The colors are accurate to the prompt but lack the depth and contrast found in the other video.\", \"reason_2\": \"The color grading is rich and vibrant, effectively contrasting the warm sunset hues with the cool tones of the ocean.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 presents a more aesthetically pleasing composition and successfully evokes the 'tranquil' and 'serene' mood through superior color grading and framing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, dynamic realism, and aesthetic composition. While both videos adhere to the semantic requirements of the prompt, Video 2 delivers a much sharper image with high-resolution textures (sand, water foam) and realistic fluid dynamics. The lighting in Video 2 creates a more convincing 'golden glow' with accurate reflections on the wet sand, whereas Video 1 suffers from a softer, slightly blurry presentation and stiffer motion.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Presence & Placement (Hut & Greenery)", "reason_1": "Video 1 correctly places the hut and palm fronds, but the hut is somewhat obscured by the foreground elements and lacks distinct definition.", "reason_2": "Video 2 clearly depicts the hut in the distance and uses the palm fronds effectively as a framing device, matching the prompt's structural description well.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Lighting (Golden Glow & Dusk)", "reason_1": "Video 1 captures the sunset colors but the lighting feels flatter and less dynamic on the water surface.", "reason_2": "Video 2 excels in rendering the 'warm golden glow' and 'fading light,' with realistic reflections on the wet sand and water that enhance the dusk atmosphere.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Waves & Swaying)", "reason_1": "The waves in Video 1 appear somewhat stiff and lack the 'gentle' rhythmic quality described.", "reason_2": "Video 2 captures the 'rhythmically caress' of the waves perfectly, with realistic foam patterns and a gentle, natural sway of the palm fronds.", "score_1": 3, "score_2": 7}], "cat_reason": "Both videos contain the required elements, but Video 2 integrates them more naturally. The 'gentle waves' and 'swaying fronds' are depicted with greater fidelity to the prompt's description of grace and rhythm.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is noticeably soft and lacks fine detail, particularly in the sand and water textures.", "reason_2": "The video is crisp and high-resolution, showing distinct grains of sand, individual water droplets, and sharp edges on the palm leaves.", "score_1": 2, "score_2": 8}, {"name": "Fluid Dynamics & Physics", "reason_1": "The water movement feels slightly artificial, resembling a warping texture rather than fluid simulation.", "reason_2": "The water exhibits realistic physics, including proper momentum, foam dissipation, and interaction with the shoreline.", "score_1": 3, "score_2": 7}, {"name": "Temporal Stability (Foliage)", "reason_1": "The palm fronds in the foreground exhibit some minor morphing or jittering artifacts during movement.", "reason_2": "The movement of the leaves is smooth and consistent, maintaining structural integrity throughout the clip.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior, offering a sharp, high-definition image with realistic physics. Video 1 appears softer, with lower resolution textures and less convincing motion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is a bit cluttered, with the large palm trunk on the left dominating the view and blocking the hut.", "reason_2": "The composition is balanced and professional, using the palm fronds to frame the sunset and hut without obstructing the view.", "score_1": 3, "score_2": 7}, {"name": "Mood & Emotional Impact (Tranquility)", "reason_1": "While peaceful, the lower visual quality detracts slightly from the immersive 'serene ambiance'.", "reason_2": "The combination of high-quality visuals, soft lighting, and gentle motion perfectly evokes the requested sense of 'peace and tranquility'.", "score_1": 4, "score_2": 6}, {"name": "Color Harmony & Grading", "reason_1": "The colors are accurate to the prompt but lack the depth and contrast found in the other video.", "reason_2": "The color grading is rich and vibrant, effectively contrasting the warm sunset hues with the cool tones of the ocean.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 presents a more aesthetically pleasing composition and successfully evokes the 'tranquil' and 'serene' mood through superior color grading and framing.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, dynamic realism, and aesthetic composition. While both videos adhere to the semantic requirements of the prompt, Video 2 delivers a much sharper image with high-resolution textures (sand, water foam) and realistic fluid dynamics. The lighting in Video 2 creates a more convincing 'golden glow' with accurate reflections on the wet sand, whereas Video 1 suffers from a softer, slightly blurry presentation and stiffer motion.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 62.694} +{"pair_id": "080_seed_42", "sample_index": 80, "seed": 42, "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Primary Subject Generation (Flame Wisp)\", \"reason_1\": \"Video 1 clearly features a glowing, flame-like entity moving through the scene as requested.\", \"reason_2\": \"Video 2 completely fails to generate the flame wisp; the video is merely a camera movement through a market with no central subject.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Environmental Specificity (Fantastical Creatures)\", \"reason_1\": \"Video 1 depicts distinct non-human, fantasy-style creatures and merchants, aligning with the 'fantastical creatures' prompt.\", \"reason_2\": \"Video 2 depicts generic human figures that are heavily distorted, lacking the specific 'fantastical' nature requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Adherence (Camera Tracking)\", \"reason_1\": \"The camera in Video 1 actively pans and follows the movement of the flame entity.\", \"reason_2\": \"Video 2 utilizes a generic forward dolly shot that does not track any specific subject or narrative element.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately generates the primary subject (the flame wisp) and the specific environment (fantastical creatures). Video 2 fails to generate the main subject entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined edges and textures on the characters and background.\", \"reason_2\": \"The video is extremely blurry and lacks definition, appearing like a low-resolution upscale.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Character Consistency)\", \"reason_1\": \"Characters maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"The figures in the market warp, melt, and distort significantly as the camera moves past them.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Reflection\", \"reason_1\": \"The light from the wisp realistically illuminates the surrounding characters and stalls.\", \"reason_2\": \"Lighting is flat and muddy, with no dynamic interaction between light sources and surfaces.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual clarity and stability. Video 2 suffers from severe blurriness, low resolution, and significant morphological warping of the background characters.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Magical/Ethereal)\", \"reason_1\": \"The video successfully evokes a magical, storybook atmosphere with vibrant colors and glowing effects.\", \"reason_2\": \"The atmosphere is dull and lacks the 'enchanting' or 'otherworldly' quality described in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Vibrancy & Palette\", \"reason_1\": \"Uses a rich, saturated palette that fits the 'vibrant stalls' and 'colorful fabrics' description.\", \"reason_2\": \"Colors are washed out and muddy, failing to capture the vibrancy requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Focus & Composition\", \"reason_1\": \"The composition centers the action on the wisp, creating a clear narrative focus.\", \"reason_2\": \"The composition is aimless, lacking a focal point or narrative progression.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the 'mesmerizing' and 'magical' tone effectively through color and composition. Video 2 lacks aesthetic appeal due to its muddy visuals and lack of focus.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully generates the central subject (the flame wisp) and adheres to the prompt's narrative of the camera following its movement. It also correctly depicts 'fantastical creatures' and a vibrant, magical atmosphere. Video 2 completely fails to generate the flame wisp, presenting instead a generic, low-quality fly-through of a market with significant visual artifacts and no central narrative focus.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Primary Subject Generation (Flame Wisp)", "reason_1": "Video 1 clearly features a glowing, flame-like entity moving through the scene as requested.", "reason_2": "Video 2 completely fails to generate the flame wisp; the video is merely a camera movement through a market with no central subject.", "score_1": 10, "score_2": 0}, {"name": "Environmental Specificity (Fantastical Creatures)", "reason_1": "Video 1 depicts distinct non-human, fantasy-style creatures and merchants, aligning with the 'fantastical creatures' prompt.", "reason_2": "Video 2 depicts generic human figures that are heavily distorted, lacking the specific 'fantastical' nature requested.", "score_1": 8, "score_2": 2}, {"name": "Action Adherence (Camera Tracking)", "reason_1": "The camera in Video 1 actively pans and follows the movement of the flame entity.", "reason_2": "Video 2 utilizes a generic forward dolly shot that does not track any specific subject or narrative element.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately generates the primary subject (the flame wisp) and the specific environment (fantastical creatures). Video 2 fails to generate the main subject entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined edges and textures on the characters and background.", "reason_2": "The video is extremely blurry and lacks definition, appearing like a low-resolution upscale.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Character Consistency)", "reason_1": "Characters maintain their shape and volume consistently throughout the clip.", "reason_2": "The figures in the market warp, melt, and distort significantly as the camera moves past them.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Reflection", "reason_1": "The light from the wisp realistically illuminates the surrounding characters and stalls.", "reason_2": "Lighting is flat and muddy, with no dynamic interaction between light sources and surfaces.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual clarity and stability. Video 2 suffers from severe blurriness, low resolution, and significant morphological warping of the background characters.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Magical/Ethereal)", "reason_1": "The video successfully evokes a magical, storybook atmosphere with vibrant colors and glowing effects.", "reason_2": "The atmosphere is dull and lacks the 'enchanting' or 'otherworldly' quality described in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Color Vibrancy & Palette", "reason_1": "Uses a rich, saturated palette that fits the 'vibrant stalls' and 'colorful fabrics' description.", "reason_2": "Colors are washed out and muddy, failing to capture the vibrancy requested.", "score_1": 8, "score_2": 2}, {"name": "Narrative Focus & Composition", "reason_1": "The composition centers the action on the wisp, creating a clear narrative focus.", "reason_2": "The composition is aimless, lacking a focal point or narrative progression.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the 'mesmerizing' and 'magical' tone effectively through color and composition. Video 2 lacks aesthetic appeal due to its muddy visuals and lack of focus.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully generates the central subject (the flame wisp) and adheres to the prompt's narrative of the camera following its movement. It also correctly depicts 'fantastical creatures' and a vibrant, magical atmosphere. Video 2 completely fails to generate the flame wisp, presenting instead a generic, low-quality fly-through of a market with significant visual artifacts and no central narrative focus.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 57.038} +{"pair_id": "080_seed_310", "sample_index": 80, "seed": 310, "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_310_A mesmerizing flame wisp glowing with ethereal lig.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_310_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_310_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_310_A mesmerizing flame wisp glowing with ethereal lig.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition (Flame Wisp)\", \"reason_1\": \"Video 1 clearly renders a central flame entity that glows and moves, acting as the distinct protagonist described in the prompt.\", \"reason_2\": \"Video 2 fails to generate a distinct wisp; the 'flame' appears as random, incoherent light artifacts and fire effects that do not form a cohesive subject.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Market & Stalls)\", \"reason_1\": \"The video displays recognizable stalls, fabrics, and goods with distinct textures and colors, matching the 'bustling market' description.\", \"reason_2\": \"The environment is a blurry, morphing mess where stalls and goods are indistinguishable from the background noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Lighting (Lanterns & Glow)\", \"reason_1\": \"Video 1 successfully captures the 'warm, golden glow' of lanterns and the starry night sky, creating the requested magical atmosphere.\", \"reason_2\": \"While there is light, it is chaotic and lacks the specific 'warm, golden' atmospheric quality, appearing more like visual glitching.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific elements of the prompt, including the flame wisp, the market stalls, and the lighting. Video 2 fails to render a distinct wisp and the environment is too distorted to identify specific details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Objects and people in Video 1 maintain their shape and identity throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and morphing; characters and structures constantly shift shape and dissolve into one another.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear edges and defined textures.\", \"reason_2\": \"The video is extremely blurry and low-resolution, making it difficult to discern any details.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement of the wisp and the camera is smooth and logical.\", \"reason_2\": \"The motion is jerky and unnatural, with the entire scene warping rather than objects moving within it.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and clarity. Video 2 is plagued by severe artifacts, blurring, and temporal incoherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Tracking & Intent\", \"reason_1\": \"The camera effectively follows the flame wisp's path, creating the 'captivating dance' described in the prompt.\", \"reason_2\": \"The camera movement feels random and disorienting, failing to track any specific subject effectively.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Composition & Color\", \"reason_1\": \"The composition is balanced, with a pleasing color palette of warm oranges and cool blues that fits the fantasy genre.\", \"reason_2\": \"The colors are muddy and the composition is cluttered and confusing due to the visual artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Fantasy Immersion\", \"reason_1\": \"The video successfully transports the viewer to a fantasy setting.\", \"reason_2\": \"The immersion is broken immediately by the low quality and glitchy visuals.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 offers a pleasing, cinematic experience with intentional camera work. Video 2 is visually unpleasant and chaotic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every aspect, presenting a coherent, high-resolution visualization of the prompt with a clearly defined flame wisp and a detailed market environment. Video 2 suffers from severe morphological instability, low resolution, and a lack of a distinct subject, resulting in a chaotic and blurry visual experience.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition (Flame Wisp)", "reason_1": "Video 1 clearly renders a central flame entity that glows and moves, acting as the distinct protagonist described in the prompt.", "reason_2": "Video 2 fails to generate a distinct wisp; the 'flame' appears as random, incoherent light artifacts and fire effects that do not form a cohesive subject.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Market & Stalls)", "reason_1": "The video displays recognizable stalls, fabrics, and goods with distinct textures and colors, matching the 'bustling market' description.", "reason_2": "The environment is a blurry, morphing mess where stalls and goods are indistinguishable from the background noise.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Lighting (Lanterns & Glow)", "reason_1": "Video 1 successfully captures the 'warm, golden glow' of lanterns and the starry night sky, creating the requested magical atmosphere.", "reason_2": "While there is light, it is chaotic and lacks the specific 'warm, golden' atmospheric quality, appearing more like visual glitching.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific elements of the prompt, including the flame wisp, the market stalls, and the lighting. Video 2 fails to render a distinct wisp and the environment is too distorted to identify specific details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Objects and people in Video 1 maintain their shape and identity throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and morphing; characters and structures constantly shift shape and dissolve into one another.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear edges and defined textures.", "reason_2": "The video is extremely blurry and low-resolution, making it difficult to discern any details.", "score_1": 9, "score_2": 1}, {"name": "Motion Coherence", "reason_1": "The movement of the wisp and the camera is smooth and logical.", "reason_2": "The motion is jerky and unnatural, with the entire scene warping rather than objects moving within it.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and clarity. Video 2 is plagued by severe artifacts, blurring, and temporal incoherence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Tracking & Intent", "reason_1": "The camera effectively follows the flame wisp's path, creating the 'captivating dance' described in the prompt.", "reason_2": "The camera movement feels random and disorienting, failing to track any specific subject effectively.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Composition & Color", "reason_1": "The composition is balanced, with a pleasing color palette of warm oranges and cool blues that fits the fantasy genre.", "reason_2": "The colors are muddy and the composition is cluttered and confusing due to the visual artifacts.", "score_1": 8, "score_2": 2}, {"name": "Fantasy Immersion", "reason_1": "The video successfully transports the viewer to a fantasy setting.", "reason_2": "The immersion is broken immediately by the low quality and glitchy visuals.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 offers a pleasing, cinematic experience with intentional camera work. Video 2 is visually unpleasant and chaotic.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every aspect, presenting a coherent, high-resolution visualization of the prompt with a clearly defined flame wisp and a detailed market environment. Video 2 suffers from severe morphological instability, low resolution, and a lack of a distinct subject, resulting in a chaotic and blurry visual experience.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 56.174} +{"pair_id": "080_seed_930", "sample_index": 80, "seed": 930, "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Fidelity (Flame Wisp vs. Stream)\", \"reason_1\": \"Video 1 generates a massive, continuous stream of fire that resembles a dragon's breath or a hose, completely missing the 'wisp' descriptor.\", \"reason_2\": \"Video 2 correctly generates a smaller, darting entity that behaves like a wisp, maintaining the correct scale relative to the environment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Stalls & Goods)\", \"reason_1\": \"The market stalls in Video 1 are vague, blurry shapes with little discernible detail regarding 'exotic goods' or 'fabrics'.\", \"reason_2\": \"Video 2 renders distinct textures for the fabrics, baskets, and goods on the stalls, aligning well with the 'brimming with exotic goods' requirement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Behavior (Follow & Weave)\", \"reason_1\": \"The camera in Video 1 is largely static or pans slowly, failing to 'follow' the swift movement of the fire.\", \"reason_2\": \"Video 2 executes a tracking shot that follows the wisp's path through the market, creating the requested sense of movement and weaving.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately depicts a 'wisp' and follows the camera instructions, whereas Video 1 generates a massive, static-looking fire stream and fails to track the subject.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is heavily blurred with low resolution; textures are muddy and indistinct.\", \"reason_2\": \"The video is sharp, with clear definition in the foreground objects and the flame effect itself.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting Interaction (Reflections & Glow)\", \"reason_1\": \"The light from the fire is a flat, overexposed white blob that washes out the scene without realistic reflection.\", \"reason_2\": \"The wisp casts a dynamic glow that interacts with the surrounding geometry, creating the requested 'dance of light and shadow'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The fire stream is consistent in its shape, though the shape itself is incorrect (too large).\", \"reason_2\": \"While sharper, the wisp in Video 2 suffers from some temporal flickering and shape-shifting artifacts as it moves.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 offers significantly higher resolution, sharper textures, and better lighting interaction compared to the blurry and washed-out look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Magical vs. Chaotic)\", \"reason_1\": \"The massive fire stream creates a chaotic, almost destructive atmosphere rather than an 'enchanting' one.\", \"reason_2\": \"The lighting and pacing create a mystical, fairytale-like atmosphere that fits the 'mesmerizing' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The composition is flat and cluttered, with the fire obscuring the depth of the market.\", \"reason_2\": \"The shot has good depth of field, leading the eye through the market stalls along the path of the wisp.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Fantasy Creature Integration\", \"reason_1\": \"The creatures are present but appear as indistinct, blurry shapes in the background.\", \"reason_2\": \"The creatures (e.g., the figure on the left) are more distinct and integrated into the lighting of the scene.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully captures the 'enchanting' and 'magical' mood through better composition and lighting, whereas Video 1 feels chaotic and visually confusing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it correctly interprets the core subject as a 'wisp' and executes the requested camera movement (following the subject). Video 1 fails semantically by generating a massive, continuous stream of fire rather than a wisp, and lacks the dynamic camera tracking required by the prompt. Video 2 also demonstrates superior visual fidelity, texture detail, and lighting effects.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Fidelity (Flame Wisp vs. Stream)", "reason_1": "Video 1 generates a massive, continuous stream of fire that resembles a dragon's breath or a hose, completely missing the 'wisp' descriptor.", "reason_2": "Video 2 correctly generates a smaller, darting entity that behaves like a wisp, maintaining the correct scale relative to the environment.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Stalls & Goods)", "reason_1": "The market stalls in Video 1 are vague, blurry shapes with little discernible detail regarding 'exotic goods' or 'fabrics'.", "reason_2": "Video 2 renders distinct textures for the fabrics, baskets, and goods on the stalls, aligning well with the 'brimming with exotic goods' requirement.", "score_1": 3, "score_2": 7}, {"name": "Camera Behavior (Follow & Weave)", "reason_1": "The camera in Video 1 is largely static or pans slowly, failing to 'follow' the swift movement of the fire.", "reason_2": "Video 2 executes a tracking shot that follows the wisp's path through the market, creating the requested sense of movement and weaving.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately depicts a 'wisp' and follows the camera instructions, whereas Video 1 generates a massive, static-looking fire stream and fails to track the subject.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is heavily blurred with low resolution; textures are muddy and indistinct.", "reason_2": "The video is sharp, with clear definition in the foreground objects and the flame effect itself.", "score_1": 2, "score_2": 8}, {"name": "Lighting Interaction (Reflections & Glow)", "reason_1": "The light from the fire is a flat, overexposed white blob that washes out the scene without realistic reflection.", "reason_2": "The wisp casts a dynamic glow that interacts with the surrounding geometry, creating the requested 'dance of light and shadow'.", "score_1": 3, "score_2": 7}, {"name": "Subject Morphological Stability", "reason_1": "The fire stream is consistent in its shape, though the shape itself is incorrect (too large).", "reason_2": "While sharper, the wisp in Video 2 suffers from some temporal flickering and shape-shifting artifacts as it moves.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 offers significantly higher resolution, sharper textures, and better lighting interaction compared to the blurry and washed-out look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Magical vs. Chaotic)", "reason_1": "The massive fire stream creates a chaotic, almost destructive atmosphere rather than an 'enchanting' one.", "reason_2": "The lighting and pacing create a mystical, fairytale-like atmosphere that fits the 'mesmerizing' description.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition & Depth", "reason_1": "The composition is flat and cluttered, with the fire obscuring the depth of the market.", "reason_2": "The shot has good depth of field, leading the eye through the market stalls along the path of the wisp.", "score_1": 3, "score_2": 7}, {"name": "Fantasy Creature Integration", "reason_1": "The creatures are present but appear as indistinct, blurry shapes in the background.", "reason_2": "The creatures (e.g., the figure on the left) are more distinct and integrated into the lighting of the scene.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully captures the 'enchanting' and 'magical' mood through better composition and lighting, whereas Video 1 feels chaotic and visually confusing.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it correctly interprets the core subject as a 'wisp' and executes the requested camera movement (following the subject). Video 1 fails semantically by generating a massive, continuous stream of fire rather than a wisp, and lacks the dynamic camera tracking required by the prompt. Video 2 also demonstrates superior visual fidelity, texture detail, and lighting effects.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 59.878} +{"pair_id": "081_seed_42", "sample_index": 81, "seed": 42, "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Lighting Cigarette)\", \"reason_1\": \"Video 1 completely ignores the instruction to light a cigarette; the subject merely holds a saxophone.\", \"reason_2\": \"Video 2 clearly depicts the subject bringing a hand to his mouth and lighting a cigarette, matching the prompt's core action.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject-Object Logic (Saxophone Placement)\", \"reason_1\": \"Video 1 hallucinates the saxophone as a physical object held by the detective, contradicting the prompt which states the sound is 'distant'.\", \"reason_2\": \"Video 2 correctly treats the saxophone as an auditory element (or background detail) rather than a prop held by the main character.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Wet Cobblestones)\", \"reason_1\": \"Video 1 renders the wet cobblestones with high fidelity and realistic reflections.\", \"reason_2\": \"Video 2 also successfully renders the glistening wet ground and alley atmosphere.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 correctly interprets the prompt's narrative actions and object relationships, whereas Video 1 fails significantly by misinterpreting the auditory cue as a physical prop.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's face in Video 1 remains consistent and recognizable throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe identity loss; the face morphs drastically between frames, looking like different people.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Object Integrity)\", \"reason_1\": \"The saxophone in Video 1 warps and melts into the subject's body and coat.\", \"reason_2\": \"While the face is unstable, the clothing and general body structure in Video 2 remain more solid than the melting saxophone in Video 1.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 maintains a sharper focus on the subject.\", \"reason_2\": \"Video 2 appears slightly blurrier and suffers from more generation noise.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 is technically superior in terms of subject consistency. Video 2 suffers from severe facial morphing and identity loss throughout the clip.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Noir Atmosphere & Lighting\", \"reason_1\": \"Video 1 has good lighting but feels a bit too clean and bright for a gritty noir scene.\", \"reason_2\": \"Video 2 utilizes higher contrast and deeper shadows, better fitting the 'noir-style' description.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Flow (Walk, Pause, Light)\", \"reason_1\": \"Video 1 lacks narrative progression; it is a static shot of a man holding an instrument.\", \"reason_2\": \"Video 2 captures the sequence of walking, pausing, and the specific action of lighting the cigarette.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Character Expression & Mood\", \"reason_1\": \"The subject in Video 1 has a blank, neutral expression.\", \"reason_2\": \"Despite the morphing, Video 2 attempts to portray the 'stern' and 'observant' look requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'noir' mood and narrative flow much better, executing the specific sequence of events described in the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner based on semantic accuracy and narrative adherence. It correctly depicts the detective lighting a cigarette and captures the requested noir atmosphere. Video 1 suffers from a critical semantic hallucination: it interprets the 'distant sound of a saxophone' as a visual instruction, causing the detective to hold a morphing saxophone instead of performing the requested action of lighting a cigarette. While Video 1 has better facial stability, its failure to follow the core action and object constraints of the prompt makes it the loser.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Lighting Cigarette)", "reason_1": "Video 1 completely ignores the instruction to light a cigarette; the subject merely holds a saxophone.", "reason_2": "Video 2 clearly depicts the subject bringing a hand to his mouth and lighting a cigarette, matching the prompt's core action.", "score_1": 1, "score_2": 9}, {"name": "Subject-Object Logic (Saxophone Placement)", "reason_1": "Video 1 hallucinates the saxophone as a physical object held by the detective, contradicting the prompt which states the sound is 'distant'.", "reason_2": "Video 2 correctly treats the saxophone as an auditory element (or background detail) rather than a prop held by the main character.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Wet Cobblestones)", "reason_1": "Video 1 renders the wet cobblestones with high fidelity and realistic reflections.", "reason_2": "Video 2 also successfully renders the glistening wet ground and alley atmosphere.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 correctly interprets the prompt's narrative actions and object relationships, whereas Video 1 fails significantly by misinterpreting the auditory cue as a physical prop.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's face in Video 1 remains consistent and recognizable throughout the clip.", "reason_2": "Video 2 suffers from severe identity loss; the face morphs drastically between frames, looking like different people.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Object Integrity)", "reason_1": "The saxophone in Video 1 warps and melts into the subject's body and coat.", "reason_2": "While the face is unstable, the clothing and general body structure in Video 2 remain more solid than the melting saxophone in Video 1.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 maintains a sharper focus on the subject.", "reason_2": "Video 2 appears slightly blurrier and suffers from more generation noise.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 is technically superior in terms of subject consistency. Video 2 suffers from severe facial morphing and identity loss throughout the clip.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Noir Atmosphere & Lighting", "reason_1": "Video 1 has good lighting but feels a bit too clean and bright for a gritty noir scene.", "reason_2": "Video 2 utilizes higher contrast and deeper shadows, better fitting the 'noir-style' description.", "score_1": 4, "score_2": 6}, {"name": "Narrative Flow (Walk, Pause, Light)", "reason_1": "Video 1 lacks narrative progression; it is a static shot of a man holding an instrument.", "reason_2": "Video 2 captures the sequence of walking, pausing, and the specific action of lighting the cigarette.", "score_1": 2, "score_2": 8}, {"name": "Character Expression & Mood", "reason_1": "The subject in Video 1 has a blank, neutral expression.", "reason_2": "Despite the morphing, Video 2 attempts to portray the 'stern' and 'observant' look requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'noir' mood and narrative flow much better, executing the specific sequence of events described in the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner based on semantic accuracy and narrative adherence. It correctly depicts the detective lighting a cigarette and captures the requested noir atmosphere. Video 1 suffers from a critical semantic hallucination: it interprets the 'distant sound of a saxophone' as a visual instruction, causing the detective to hold a morphing saxophone instead of performing the requested action of lighting a cigarette. While Video 1 has better facial stability, its failure to follow the core action and object constraints of the prompt makes it the loser.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 34.0, "total_score_2": 56.0, "elapsed_sec": 57.142} +{"pair_id": "081_seed_310", "sample_index": 81, "seed": 310, "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_310_In a noir-style scene a detective in a classic tre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_310_In a noir-style scene a detective in a classic tre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_310_In a noir-style scene a detective in a classic tre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_310_In a noir-style scene a detective in a classic tre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Lighting Cigarette)\", \"reason_1\": \"Video 1 clearly depicts the detective holding a lighter, striking it, and the flame illuminating his face as requested.\", \"reason_2\": \"Video 2 fails to show the action of lighting the cigarette; the subject simply has a cigarette in his mouth with no lighter or flame interaction visible.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Rain & Cobblestones)\", \"reason_1\": \"Video 1 renders the 'glistening cobblestones' and wet atmosphere effectively, creating a convincing rainy alley environment.\", \"reason_2\": \"Video 2 shows a wet ground, but the texture is flatter and lacks the specific 'glistening' detail requested in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Attributes (Attire & Features)\", \"reason_1\": \"Video 1 accurately renders the trench coat, fedora, and 'chiseled features' with high detail.\", \"reason_2\": \"Video 2 includes the correct attire, but the facial features are less defined and the hat brim casts a shadow that obscures the face too heavily.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 precisely follows the prompt's action sequence, specifically the lighting of the cigarette, whereas Video 2 misses this key interaction.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-resolution textures on the clothing and skin.\", \"reason_2\": \"The image is softer and lacks the fine detail seen in Video 1, appearing slightly washed out.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Physics\", \"reason_1\": \"The light from the flame realistically interacts with the subject's face and the smoke, creating dynamic shadows.\", \"reason_2\": \"The lighting is static and flat; there is no dynamic light source interaction from the cigarette or environment.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The detective's face remains consistent and recognizable throughout the clip.\", \"reason_2\": \"The subject's facial structure shifts slightly between frames, showing lower temporal stability.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior sharpness, texture rendering, and lighting physics compared to the softer, flatter look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Noir Atmosphere & Color Grading\", \"reason_1\": \"Video 1 utilizes a classic teal and orange contrast (cool background, warm flame) that perfectly fits the 'noir-style' description.\", \"reason_2\": \"Video 2 has a more naturalistic but dull color palette that lacks the dramatic contrast associated with the noir genre.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The framing places the subject effectively against the alley depth, with the saxophonist in the background adding narrative depth.\", \"reason_2\": \"The composition is acceptable but feels flatter, with less separation between the subject and the background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Mood (Mystery & Tension)\", \"reason_1\": \"The combination of the stern expression, the lighting action, and the smoke creates the 'mysterious atmosphere' requested.\", \"reason_2\": \"The lack of dramatic lighting and the passive action result in a video that feels more like a casual walk than a moody noir scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'noir' aesthetic perfectly with dramatic lighting and color grading, while Video 2 feels more like a standard daylight scene at night.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the specific narrative action of lighting the cigarette, which Video 2 fails to depict. Furthermore, Video 1 exhibits significantly higher visual fidelity, better texture details on the wet cobblestones, and a more cinematic color grade that perfectly captures the requested noir atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Lighting Cigarette)", "reason_1": "Video 1 clearly depicts the detective holding a lighter, striking it, and the flame illuminating his face as requested.", "reason_2": "Video 2 fails to show the action of lighting the cigarette; the subject simply has a cigarette in his mouth with no lighter or flame interaction visible.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Rain & Cobblestones)", "reason_1": "Video 1 renders the 'glistening cobblestones' and wet atmosphere effectively, creating a convincing rainy alley environment.", "reason_2": "Video 2 shows a wet ground, but the texture is flatter and lacks the specific 'glistening' detail requested in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Subject Attributes (Attire & Features)", "reason_1": "Video 1 accurately renders the trench coat, fedora, and 'chiseled features' with high detail.", "reason_2": "Video 2 includes the correct attire, but the facial features are less defined and the hat brim casts a shadow that obscures the face too heavily.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 precisely follows the prompt's action sequence, specifically the lighting of the cigarette, whereas Video 2 misses this key interaction.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-resolution textures on the clothing and skin.", "reason_2": "The image is softer and lacks the fine detail seen in Video 1, appearing slightly washed out.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Physics", "reason_1": "The light from the flame realistically interacts with the subject's face and the smoke, creating dynamic shadows.", "reason_2": "The lighting is static and flat; there is no dynamic light source interaction from the cigarette or environment.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The detective's face remains consistent and recognizable throughout the clip.", "reason_2": "The subject's facial structure shifts slightly between frames, showing lower temporal stability.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior sharpness, texture rendering, and lighting physics compared to the softer, flatter look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Noir Atmosphere & Color Grading", "reason_1": "Video 1 utilizes a classic teal and orange contrast (cool background, warm flame) that perfectly fits the 'noir-style' description.", "reason_2": "Video 2 has a more naturalistic but dull color palette that lacks the dramatic contrast associated with the noir genre.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Depth", "reason_1": "The framing places the subject effectively against the alley depth, with the saxophonist in the background adding narrative depth.", "reason_2": "The composition is acceptable but feels flatter, with less separation between the subject and the background.", "score_1": 7, "score_2": 3}, {"name": "Narrative Mood (Mystery & Tension)", "reason_1": "The combination of the stern expression, the lighting action, and the smoke creates the 'mysterious atmosphere' requested.", "reason_2": "The lack of dramatic lighting and the passive action result in a video that feels more like a casual walk than a moody noir scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'noir' aesthetic perfectly with dramatic lighting and color grading, while Video 2 feels more like a standard daylight scene at night.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the specific narrative action of lighting the cigarette, which Video 2 fails to depict. Furthermore, Video 1 exhibits significantly higher visual fidelity, better texture details on the wet cobblestones, and a more cinematic color grade that perfectly captures the requested noir atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 56.084} +{"pair_id": "081_seed_930", "sample_index": 81, "seed": 930, "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Walk, Pause, Light)\", \"reason_1\": \"Video 1 depicts the walking and pausing but fails to render the 'lighting a cigarette' action clearly; the hand movement is vague and the flame is missing.\", \"reason_2\": \"Video 2 clearly depicts the detective pausing, bringing a lighter to his mouth, and the flame illuminating his face as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Glistening Cobblestones)\", \"reason_1\": \"The environment is muddy and lacks the specific 'glistening' texture of wet cobblestones requested.\", \"reason_2\": \"The video renders high-fidelity wet cobblestones with realistic reflections, perfectly matching the 'glistening from recent rain' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Prompt Interpretation (Saxophone Element)\", \"reason_1\": \"Video 1 attempts to generate the saxophone as a 'distant sound' source but fails technically, causing a saxophone to hallucinate and morph into existence in the foreground.\", \"reason_2\": \"Video 2 interprets the saxophone as a background musician. While this deviates slightly from 'distant sound' (making it visual), it is a coherent and logical scene composition.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the specific actions and environmental details requested, whereas Video 1 fails to render the cigarette lighting action and struggles with the saxophone element.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture definition on the coat and face.\", \"reason_2\": \"The video is sharp, with distinct textures visible on the trench coat fabric, skin pores, and wet stones.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Severe failure: A saxophone and a second person morph out of the detective's coat and the background in a glitchy, unrealistic manner.\", \"reason_2\": \"The subject and background elements remain solid and consistent throughout the clip with no morphing artifacts.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Interaction (Flame & Shadows)\", \"reason_1\": \"Lighting is flat and static; the flame does not cast dynamic light on the face.\", \"reason_2\": \"The lighter's flame casts a realistic, dynamic glow on the detective's face, creating the requested 'interplay of shadows'.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade generation with high resolution and stability. Video 1 is plagued by low resolution, blurring, and severe object hallucinations.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Noir Atmosphere & Color Grading\", \"reason_1\": \"The video uses a sepia tone that feels more like a vintage filter than a moody noir atmosphere.\", \"reason_2\": \"The video uses a cool, high-contrast color palette with deep blacks and sharp highlights, effectively evoking a modern noir aesthetic.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Character Expression & Engagement\", \"reason_1\": \"The character's face is indistinct and lacks the 'sharp and observant' quality requested.\", \"reason_2\": \"The character displays a clear, stern expression with a focused gaze, aligning well with the 'engrossed in thoughts' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is awkward, and the sudden appearance of the glitchy saxophone ruins the composition.\", \"reason_2\": \"The shot is well-composed with depth of field, placing the detective in the foreground and the saxophone player in the background to create narrative depth.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully captures the 'noir' mood through color grading and lighting, while Video 1 feels like a low-quality vintage filter.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in technical quality, semantic accuracy, and aesthetic execution. It delivers a high-resolution, photorealistic scene with accurate lighting interactions (the lighter illuminating the face) and stable subject consistency. Video 1 suffers from severe morphological hallucinations (a saxophone morphing out of the subject), low resolution, and a failure to clearly depict the key action of lighting the cigarette.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Walk, Pause, Light)", "reason_1": "Video 1 depicts the walking and pausing but fails to render the 'lighting a cigarette' action clearly; the hand movement is vague and the flame is missing.", "reason_2": "Video 2 clearly depicts the detective pausing, bringing a lighter to his mouth, and the flame illuminating his face as requested.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Glistening Cobblestones)", "reason_1": "The environment is muddy and lacks the specific 'glistening' texture of wet cobblestones requested.", "reason_2": "The video renders high-fidelity wet cobblestones with realistic reflections, perfectly matching the 'glistening from recent rain' description.", "score_1": 2, "score_2": 8}, {"name": "Prompt Interpretation (Saxophone Element)", "reason_1": "Video 1 attempts to generate the saxophone as a 'distant sound' source but fails technically, causing a saxophone to hallucinate and morph into existence in the foreground.", "reason_2": "Video 2 interprets the saxophone as a background musician. While this deviates slightly from 'distant sound' (making it visual), it is a coherent and logical scene composition.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the specific actions and environmental details requested, whereas Video 1 fails to render the cigarette lighting action and struggles with the saxophone element.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video is blurry, low-resolution, and lacks texture definition on the coat and face.", "reason_2": "The video is sharp, with distinct textures visible on the trench coat fabric, skin pores, and wet stones.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Object Permanence)", "reason_1": "Severe failure: A saxophone and a second person morph out of the detective's coat and the background in a glitchy, unrealistic manner.", "reason_2": "The subject and background elements remain solid and consistent throughout the clip with no morphing artifacts.", "score_1": 1, "score_2": 9}, {"name": "Lighting Interaction (Flame & Shadows)", "reason_1": "Lighting is flat and static; the flame does not cast dynamic light on the face.", "reason_2": "The lighter's flame casts a realistic, dynamic glow on the detective's face, creating the requested 'interplay of shadows'.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade generation with high resolution and stability. Video 1 is plagued by low resolution, blurring, and severe object hallucinations.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Noir Atmosphere & Color Grading", "reason_1": "The video uses a sepia tone that feels more like a vintage filter than a moody noir atmosphere.", "reason_2": "The video uses a cool, high-contrast color palette with deep blacks and sharp highlights, effectively evoking a modern noir aesthetic.", "score_1": 3, "score_2": 7}, {"name": "Character Expression & Engagement", "reason_1": "The character's face is indistinct and lacks the 'sharp and observant' quality requested.", "reason_2": "The character displays a clear, stern expression with a focused gaze, aligning well with the 'engrossed in thoughts' description.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition", "reason_1": "The framing is awkward, and the sudden appearance of the glitchy saxophone ruins the composition.", "reason_2": "The shot is well-composed with depth of field, placing the detective in the foreground and the saxophone player in the background to create narrative depth.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully captures the 'noir' mood through color grading and lighting, while Video 1 feels like a low-quality vintage filter.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in technical quality, semantic accuracy, and aesthetic execution. It delivers a high-resolution, photorealistic scene with accurate lighting interactions (the lighter illuminating the face) and stable subject consistency. Video 1 suffers from severe morphological hallucinations (a saxophone morphing out of the subject), low resolution, and a failure to clearly depict the key action of lighting the cigarette.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 62.37} +{"pair_id": "082_seed_42", "sample_index": 82, "seed": 42, "prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition (Grinding Wheel)\", \"reason_1\": \"The grinding wheel is barely visible, appearing as a blurry, overexposed white mass with no discernible mechanical structure.\", \"reason_2\": \"The grinding wheel is clearly defined with distinct edges, texture, and mechanical components, anchoring the scene effectively.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Dimly Lit Workshop)\", \"reason_1\": \"The background is largely obscured by the brightness of the sparks, making the 'dimly lit' and 'shadowy' requirements difficult to perceive.\", \"reason_2\": \"The video maintains a balance where the background machinery and beams are visible in the shadows, fulfilling the 'dimly lit' and 'shadowy backdrop' criteria.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Fidelity (Sparks Cascade)\", \"reason_1\": \"Generates a massive volume of sparks, but they lack the 'intricate patterns' requested, appearing more like a chaotic noise overlay.\", \"reason_2\": \"Generates a controlled, directional cascade of sparks that clearly originate from the contact point, matching the 'mesmerizing shower' description.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts all semantic elements, including the specific machinery and the 'dimly lit' environment, whereas Video 1 obscures the subject and setting with excessive brightness.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Exposure Control & Dynamic Range\", \"reason_1\": \"The video suffers from severe overexposure (clipping) in the center, destroying all detail in the primary light source.\", \"reason_2\": \"Excellent dynamic range; the bright sparks are vivid without blowing out the image, and the shadows retain detail.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Particle Physics & Trajectory\", \"reason_1\": \"The sparks move in a somewhat random, noisy manner that feels less physically grounded in the rotation of the wheel.\", \"reason_2\": \"The sparks follow a logical, tangential trajectory consistent with the rotation of the wheel, enhancing realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is soft and lacks definition, particularly around the point of contact.\", \"reason_2\": \"The video is sharp, with clear textures visible on the metal surfaces and distinct separation between individual sparks.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade exposure control and particle physics, while Video 1 fails technically due to severe clipping and loss of detail.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony (Fiery vs. Shadowy)\", \"reason_1\": \"The color palette is washed out by the white light, losing the contrast between the 'fiery orange' sparks and the dark background.\", \"reason_2\": \"Beautifully contrasts the warm, golden hues of the sparks against the cool, dark tones of the industrial machinery.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"The framing is tight and somewhat claustrophobic, with the subject lost in the visual noise.\", \"reason_2\": \"Uses a pleasing depth of field and composition that draws the eye to the action while providing context.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Mood (Mesmerizing Spectacle)\", \"reason_1\": \"The chaotic brightness creates a harsh rather than mesmerizing atmosphere.\", \"reason_2\": \"Successfully evokes the 'mesmerizing' quality requested by the prompt through controlled motion and lighting.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'mesmerizing' and 'cinematic' mood requested, using lighting and composition to create a visually pleasing spectacle.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Particle Rendering & Light Interaction\", \"dims\": [{\"name\": \"Spark Individuality & Detail\", \"reason_1\": \"Sparks are rendered as a dense, blurry cloud rather than distinct, detailed particles.\", \"reason_2\": \"Individual sparks are visible as distinct points of light, allowing the viewer to appreciate the 'intricate patterns' as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Light Interaction with Environment\", \"reason_1\": \"The light from the sparks does not interact realistically with the surrounding machinery; it simply overpowers it.\", \"reason_2\": \"The sparks cast realistic, dynamic reflections on the nearby metal surfaces, enhancing the sense of physical presence.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Slow-Motion Fluidity\", \"reason_1\": \"The motion is fast and frantic, lacking the graceful 'slow-motion' feel requested.\", \"reason_2\": \"The movement of the sparks feels fluid and suspended, effectively conveying the requested slow-motion aesthetic.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This personalized category evaluates the specific requirement for 'vivid detail' in the sparks. Video 2 excels in rendering individual particles and their light interactions.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it delivers a high-fidelity, cinematic interpretation of the prompt. It successfully balances the intense brightness of the sparks with the 'dimly lit' environment, maintaining excellent dynamic range and visual clarity. The sparks are rendered with distinct trajectories and realistic physics, creating the requested 'mesmerizing shower of light.' In contrast, Video 1 suffers from severe overexposure, where the sparks blow out the image details, obscuring the grinding wheel and the workshop context, resulting in a chaotic rather than mesmerizing visual.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition (Grinding Wheel)", "reason_1": "The grinding wheel is barely visible, appearing as a blurry, overexposed white mass with no discernible mechanical structure.", "reason_2": "The grinding wheel is clearly defined with distinct edges, texture, and mechanical components, anchoring the scene effectively.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Dimly Lit Workshop)", "reason_1": "The background is largely obscured by the brightness of the sparks, making the 'dimly lit' and 'shadowy' requirements difficult to perceive.", "reason_2": "The video maintains a balance where the background machinery and beams are visible in the shadows, fulfilling the 'dimly lit' and 'shadowy backdrop' criteria.", "score_1": 3, "score_2": 7}, {"name": "Action Fidelity (Sparks Cascade)", "reason_1": "Generates a massive volume of sparks, but they lack the 'intricate patterns' requested, appearing more like a chaotic noise overlay.", "reason_2": "Generates a controlled, directional cascade of sparks that clearly originate from the contact point, matching the 'mesmerizing shower' description.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts all semantic elements, including the specific machinery and the 'dimly lit' environment, whereas Video 1 obscures the subject and setting with excessive brightness.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Exposure Control & Dynamic Range", "reason_1": "The video suffers from severe overexposure (clipping) in the center, destroying all detail in the primary light source.", "reason_2": "Excellent dynamic range; the bright sparks are vivid without blowing out the image, and the shadows retain detail.", "score_1": 1, "score_2": 9}, {"name": "Particle Physics & Trajectory", "reason_1": "The sparks move in a somewhat random, noisy manner that feels less physically grounded in the rotation of the wheel.", "reason_2": "The sparks follow a logical, tangential trajectory consistent with the rotation of the wheel, enhancing realism.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is soft and lacks definition, particularly around the point of contact.", "reason_2": "The video is sharp, with clear textures visible on the metal surfaces and distinct separation between individual sparks.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade exposure control and particle physics, while Video 1 fails technically due to severe clipping and loss of detail.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony (Fiery vs. Shadowy)", "reason_1": "The color palette is washed out by the white light, losing the contrast between the 'fiery orange' sparks and the dark background.", "reason_2": "Beautifully contrasts the warm, golden hues of the sparks against the cool, dark tones of the industrial machinery.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Framing & Focus", "reason_1": "The framing is tight and somewhat claustrophobic, with the subject lost in the visual noise.", "reason_2": "Uses a pleasing depth of field and composition that draws the eye to the action while providing context.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Mood (Mesmerizing Spectacle)", "reason_1": "The chaotic brightness creates a harsh rather than mesmerizing atmosphere.", "reason_2": "Successfully evokes the 'mesmerizing' quality requested by the prompt through controlled motion and lighting.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'mesmerizing' and 'cinematic' mood requested, using lighting and composition to create a visually pleasing spectacle.", "cat_winner": "Video 2"}, {"name": "D. Particle Rendering & Light Interaction", "dims": [{"name": "Spark Individuality & Detail", "reason_1": "Sparks are rendered as a dense, blurry cloud rather than distinct, detailed particles.", "reason_2": "Individual sparks are visible as distinct points of light, allowing the viewer to appreciate the 'intricate patterns' as requested.", "score_1": 2, "score_2": 8}, {"name": "Light Interaction with Environment", "reason_1": "The light from the sparks does not interact realistically with the surrounding machinery; it simply overpowers it.", "reason_2": "The sparks cast realistic, dynamic reflections on the nearby metal surfaces, enhancing the sense of physical presence.", "score_1": 3, "score_2": 7}, {"name": "Slow-Motion Fluidity", "reason_1": "The motion is fast and frantic, lacking the graceful 'slow-motion' feel requested.", "reason_2": "The movement of the sparks feels fluid and suspended, effectively conveying the requested slow-motion aesthetic.", "score_1": 4, "score_2": 6}], "cat_reason": "This personalized category evaluates the specific requirement for 'vivid detail' in the sparks. Video 2 excels in rendering individual particles and their light interactions.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it delivers a high-fidelity, cinematic interpretation of the prompt. It successfully balances the intense brightness of the sparks with the 'dimly lit' environment, maintaining excellent dynamic range and visual clarity. The sparks are rendered with distinct trajectories and realistic physics, creating the requested 'mesmerizing shower of light.' In contrast, Video 1 suffers from severe overexposure, where the sparks blow out the image details, obscuring the grinding wheel and the workshop context, resulting in a chaotic rather than mesmerizing visual.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 32.0, "total_score_2": 88.0, "elapsed_sec": 76.699} +{"pair_id": "082_seed_310", "sample_index": 82, "seed": 310, "prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_310_In a dimly lit industrial workshop a grinding whee.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_310_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_310_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_310_In a dimly lit industrial workshop a grinding whee.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Setting)\", \"reason_1\": \"Video 1 features a bright, daylight-lit background with large windows, completely failing the 'dimly lit' and 'shadowy backdrop' requirement.\", \"reason_2\": \"Video 2 perfectly renders a dark, moody industrial environment with deep shadows, matching the prompt's atmospheric description.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Action (Sparks Intensity & Pattern)\", \"reason_1\": \"The sparks in Video 1 appear as a dense, uniform stream rather than a 'cascade' of individual particles, lacking the requested 'intricate patterns'.\", \"reason_2\": \"Video 2 generates distinct, high-velocity sparks that 'dance and flicker' individually, creating the requested intricate visual spectacle.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Temporal Style (Slow-Motion Effect)\", \"reason_1\": \"The motion in Video 1 feels like standard speed or slightly sped-up, failing to convey the 'slow-motion effect' that allows appreciation of details.\", \"reason_2\": \"Video 2 successfully utilizes a slow-motion aesthetic, allowing the sparks to hang in the air and travel visibly, enhancing the 'mesmerizing' quality.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 strictly adheres to the environmental and stylistic constraints of the prompt, whereas Video 1 ignores the lighting and motion instructions.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Particle Physics & Trajectory\", \"reason_1\": \"The sparks in Video 1 move in a somewhat artificial, linear fashion, resembling a particle emitter rather than physical debris.\", \"reason_2\": \"Video 2 displays realistic gravity and momentum; sparks bounce off surfaces and fade naturally, showing high physical plausibility.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"The image is somewhat soft and lacks definition in the machinery, with the sparks appearing as a blur of light.\", \"reason_2\": \"Video 2 is sharp, with clear textures on the grinding wheel and distinct, crisp rendering of individual sparks.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Interaction (Illumination)\", \"reason_1\": \"Due to the ambient brightness, the sparks do not significantly 'illuminate the scene' or 'paint the dark surroundings' as requested.\", \"reason_2\": \"The sparks in Video 2 act as a primary light source, casting realistic glows and reflections on the surrounding metal machinery.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates superior particle physics and image clarity, while Video 1 suffers from lower resolution and less realistic motion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The composition is flat with a distracting, busy background that detracts from the main subject.\", \"reason_2\": \"Video 2 uses a shallow depth of field (bokeh) to isolate the sparks against the dark background, creating a professional cinematic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The colors are washed out due to the bright background, losing the 'fiery orange and golden hues' against a dark backdrop.\", \"reason_2\": \"Video 2 achieves a striking contrast between the cool, dark industrial tones and the vibrant, warm gold of the sparks.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video feels like generic stock footage with little artistic merit.\", \"reason_2\": \"The video is visually captivating and successfully evokes the 'mesmerizing' mood described in the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a cinematic, visually arresting composition that elevates the subject matter, whereas Video 1 looks like raw, unedited footage.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it perfectly captures the atmospheric and stylistic requirements of the prompt. It delivers the requested 'dimly lit' environment, 'slow-motion effect', and 'mesmerizing' spark details with high fidelity. Video 1 fails significantly on the environmental lighting (it is too bright) and lacks the cinematic slow-motion quality, presenting a flatter, less detailed image.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Setting)", "reason_1": "Video 1 features a bright, daylight-lit background with large windows, completely failing the 'dimly lit' and 'shadowy backdrop' requirement.", "reason_2": "Video 2 perfectly renders a dark, moody industrial environment with deep shadows, matching the prompt's atmospheric description.", "score_1": 1, "score_2": 9}, {"name": "Subject Action (Sparks Intensity & Pattern)", "reason_1": "The sparks in Video 1 appear as a dense, uniform stream rather than a 'cascade' of individual particles, lacking the requested 'intricate patterns'.", "reason_2": "Video 2 generates distinct, high-velocity sparks that 'dance and flicker' individually, creating the requested intricate visual spectacle.", "score_1": 3, "score_2": 7}, {"name": "Temporal Style (Slow-Motion Effect)", "reason_1": "The motion in Video 1 feels like standard speed or slightly sped-up, failing to convey the 'slow-motion effect' that allows appreciation of details.", "reason_2": "Video 2 successfully utilizes a slow-motion aesthetic, allowing the sparks to hang in the air and travel visibly, enhancing the 'mesmerizing' quality.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 strictly adheres to the environmental and stylistic constraints of the prompt, whereas Video 1 ignores the lighting and motion instructions.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Particle Physics & Trajectory", "reason_1": "The sparks in Video 1 move in a somewhat artificial, linear fashion, resembling a particle emitter rather than physical debris.", "reason_2": "Video 2 displays realistic gravity and momentum; sparks bounce off surfaces and fade naturally, showing high physical plausibility.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Texture", "reason_1": "The image is somewhat soft and lacks definition in the machinery, with the sparks appearing as a blur of light.", "reason_2": "Video 2 is sharp, with clear textures on the grinding wheel and distinct, crisp rendering of individual sparks.", "score_1": 3, "score_2": 7}, {"name": "Lighting Interaction (Illumination)", "reason_1": "Due to the ambient brightness, the sparks do not significantly 'illuminate the scene' or 'paint the dark surroundings' as requested.", "reason_2": "The sparks in Video 2 act as a primary light source, casting realistic glows and reflections on the surrounding metal machinery.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates superior particle physics and image clarity, while Video 1 suffers from lower resolution and less realistic motion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "The composition is flat with a distracting, busy background that detracts from the main subject.", "reason_2": "Video 2 uses a shallow depth of field (bokeh) to isolate the sparks against the dark background, creating a professional cinematic look.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony & Contrast", "reason_1": "The colors are washed out due to the bright background, losing the 'fiery orange and golden hues' against a dark backdrop.", "reason_2": "Video 2 achieves a striking contrast between the cool, dark industrial tones and the vibrant, warm gold of the sparks.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video feels like generic stock footage with little artistic merit.", "reason_2": "The video is visually captivating and successfully evokes the 'mesmerizing' mood described in the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a cinematic, visually arresting composition that elevates the subject matter, whereas Video 1 looks like raw, unedited footage.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it perfectly captures the atmospheric and stylistic requirements of the prompt. It delivers the requested 'dimly lit' environment, 'slow-motion effect', and 'mesmerizing' spark details with high fidelity. Video 1 fails significantly on the environmental lighting (it is too bright) and lacks the cinematic slow-motion quality, presenting a flatter, less detailed image.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 21.0, "total_score_2": 69.0, "elapsed_sec": 59.956} +{"pair_id": "082_seed_930", "sample_index": 82, "seed": 930, "prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Action Fidelity\", \"reason_1\": \"Video 1 clearly shows the grinding wheel and the metal pipe being worked on, with the action clearly defined.\", \"reason_2\": \"Video 2 shows the wheel, but the grinding action is obscured by excessive visual noise and the metal object is less distinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Dimly Lit Workshop)\", \"reason_1\": \"Video 1 maintains a dark, industrial background that contrasts well with the sparks, matching the 'dimly lit' requirement.\", \"reason_2\": \"Video 2 is washed out by the brightness of the generated sparks, losing the 'shadowy backdrop' context almost entirely.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Style (Slow-Motion Effect)\", \"reason_1\": \"Video 1 appears to be real-time or slightly fast, failing to capture the requested 'slow-motion' effect.\", \"reason_2\": \"Video 2 successfully renders the motion with a slower, more fluid cadence that aligns with the 'slow-motion' prompt instruction.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 1 accurately depicts the 'dimly lit' environment and the specific interaction between the wheel and the metal pipe. Video 2 fails to maintain the environmental context due to overexposure.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Particle Physics & Gravity\", \"reason_1\": \"The sparks in Video 1 follow realistic ballistic trajectories, arcing and falling due to gravity.\", \"reason_2\": \"The sparks in Video 2 float upwards and linger unnaturally, resembling a fluid simulation rather than hot metal particles.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp, with sharp edges on the machinery and distinct individual sparks.\", \"reason_2\": \"Video 2 is blurry and noisy, with the sparks appearing as undefined blobs of light rather than detailed particles.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Exposure\", \"reason_1\": \"The light from the sparks in Video 1 illuminates the surroundings realistically without blowing out the image.\", \"reason_2\": \"Video 2 suffers from severe overexposure (clipping), where the light intensity destroys detail in the highlights.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior physics and image quality. The sparks behave like real incandescent metal, whereas Video 2's sparks lack weight and definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a clear angle that shows the source of the sparks and their trajectory against the background.\", \"reason_2\": \"Video 2 is framed too tightly and chaotically, making it difficult to understand the spatial relationship between the wheel and the sparks.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony (Fiery Orange vs. Shadowy Backdrop)\", \"reason_1\": \"Video 1 achieves the requested contrast between the 'fiery orange' sparks and the 'shadowy backdrop'.\", \"reason_2\": \"Video 2 is dominated by a monochromatic white/yellow glare, lacking the rich color contrast described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually pleasing and looks like professional footage.\", \"reason_2\": \"Video 2 is visually messy and distracting due to the excessive bloom and lack of definition.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a composed, professional look that highlights the beauty of the sparks. Video 2 is chaotic and visually overwhelming.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior realism, physical accuracy, and visual clarity. It accurately depicts the physics of sparks (gravity, momentum) and maintains the 'dimly lit' environmental context requested. Video 2, while attempting the slow-motion effect, suffers from severe overexposure, unnatural particle physics (sparks floating like liquid), and a loss of detail in the machinery.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Action Fidelity", "reason_1": "Video 1 clearly shows the grinding wheel and the metal pipe being worked on, with the action clearly defined.", "reason_2": "Video 2 shows the wheel, but the grinding action is obscured by excessive visual noise and the metal object is less distinct.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Dimly Lit Workshop)", "reason_1": "Video 1 maintains a dark, industrial background that contrasts well with the sparks, matching the 'dimly lit' requirement.", "reason_2": "Video 2 is washed out by the brightness of the generated sparks, losing the 'shadowy backdrop' context almost entirely.", "score_1": 8, "score_2": 2}, {"name": "Temporal Style (Slow-Motion Effect)", "reason_1": "Video 1 appears to be real-time or slightly fast, failing to capture the requested 'slow-motion' effect.", "reason_2": "Video 2 successfully renders the motion with a slower, more fluid cadence that aligns with the 'slow-motion' prompt instruction.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 1 accurately depicts the 'dimly lit' environment and the specific interaction between the wheel and the metal pipe. Video 2 fails to maintain the environmental context due to overexposure.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Particle Physics & Gravity", "reason_1": "The sparks in Video 1 follow realistic ballistic trajectories, arcing and falling due to gravity.", "reason_2": "The sparks in Video 2 float upwards and linger unnaturally, resembling a fluid simulation rather than hot metal particles.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp, with sharp edges on the machinery and distinct individual sparks.", "reason_2": "Video 2 is blurry and noisy, with the sparks appearing as undefined blobs of light rather than detailed particles.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Exposure", "reason_1": "The light from the sparks in Video 1 illuminates the surroundings realistically without blowing out the image.", "reason_2": "Video 2 suffers from severe overexposure (clipping), where the light intensity destroys detail in the highlights.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior physics and image quality. The sparks behave like real incandescent metal, whereas Video 2's sparks lack weight and definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses a clear angle that shows the source of the sparks and their trajectory against the background.", "reason_2": "Video 2 is framed too tightly and chaotically, making it difficult to understand the spatial relationship between the wheel and the sparks.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony (Fiery Orange vs. Shadowy Backdrop)", "reason_1": "Video 1 achieves the requested contrast between the 'fiery orange' sparks and the 'shadowy backdrop'.", "reason_2": "Video 2 is dominated by a monochromatic white/yellow glare, lacking the rich color contrast described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually pleasing and looks like professional footage.", "reason_2": "Video 2 is visually messy and distracting due to the excessive bloom and lack of definition.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a composed, professional look that highlights the beauty of the sparks. Video 2 is chaotic and visually overwhelming.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior realism, physical accuracy, and visual clarity. It accurately depicts the physics of sparks (gravity, momentum) and maintains the 'dimly lit' environmental context requested. Video 2, while attempting the slow-motion effect, suffers from severe overexposure, unnatural particle physics (sparks floating like liquid), and a loss of detail in the machinery.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 58.915} +{"pair_id": "083_seed_42", "sample_index": 83, "seed": 42, "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Aurora Color Palette (Green, Purple, Blue)\", \"reason_1\": \"Video 1 is almost entirely monochromatic green, failing to render the requested purple and blue hues.\", \"reason_2\": \"Video 2 clearly displays the requested mix of green, purple, and blue, creating a more vibrant and accurate representation of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Reflection (Mirror-like Lake)\", \"reason_1\": \"The reflection in Video 1 is present but muddy and lacks the distinct 'mirror-like' quality requested.\", \"reason_2\": \"Video 2 features a sharp, clear reflection on the frozen lake that accurately mirrors the sky's colors, fulfilling the 'doubles the spectacle' requirement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Landscape Detail (Snow Mounds & Mountains)\", \"reason_1\": \"Video 1 depicts the mountains and snow, but the foreground lacks the specific 'gentle mounds' detail, appearing flatter.\", \"reason_2\": \"Video 2 renders distinct snow mounds in the foreground that glisten as described, adding better depth to the horizon.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific color palette and environmental details requested in the prompt much more accurately than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is somewhat soft and lacks definition in the snow textures and distant stars.\", \"reason_2\": \"The video is crisp with high contrast, making the stars look like 'scattered diamonds' and the snow texture distinct.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Fluidity (Graceful Swirl)\", \"reason_1\": \"The motion of the aurora is smooth and consistent, though somewhat slow.\", \"reason_2\": \"The motion is equally smooth, capturing the 'graceful' nature of the lights without jitter.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Lighting Interaction & Glisten\", \"reason_1\": \"The lighting feels flat, with the snow not interacting dynamically with the light source.\", \"reason_2\": \"The lighting is dynamic, with the snow mounds appearing to 'glisten' under the changing colors of the aurora.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers superior sharpness, contrast, and texture definition compared to the softer, flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Magical & Ethereal)\", \"reason_1\": \"The monochromatic green palette makes the scene feel standard rather than magical or ethereal.\", \"reason_2\": \"The blend of colors and the sparkling stars create a truly 'magical' and 'ethereal' atmosphere that elevates the aesthetic appeal.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Depth\", \"reason_1\": \"The composition is decent but feels a bit empty in the foreground.\", \"reason_2\": \"The framing uses the foreground snow mounds and the distant mountains effectively to create a strong sense of depth.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"While competent, it lacks the 'wow' factor due to limited color range and lower contrast.\", \"reason_2\": \"The video is visually striking, with vibrant colors and high contrast that make it highly engaging to watch.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully evokes the 'magical' and 'ethereal' mood through better color grading and composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in semantic accuracy, particularly regarding the color palette and environmental details. While Video 1 is predominantly monochromatic green, Video 2 successfully renders the requested mix of green, purple, and blue hues. Furthermore, Video 2 provides a much clearer 'mirror-like' reflection on the frozen lake and distinct 'glistening' snow mounds, whereas Video 1 appears flatter and less detailed.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Aurora Color Palette (Green, Purple, Blue)", "reason_1": "Video 1 is almost entirely monochromatic green, failing to render the requested purple and blue hues.", "reason_2": "Video 2 clearly displays the requested mix of green, purple, and blue, creating a more vibrant and accurate representation of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Reflection (Mirror-like Lake)", "reason_1": "The reflection in Video 1 is present but muddy and lacks the distinct 'mirror-like' quality requested.", "reason_2": "Video 2 features a sharp, clear reflection on the frozen lake that accurately mirrors the sky's colors, fulfilling the 'doubles the spectacle' requirement.", "score_1": 3, "score_2": 7}, {"name": "Landscape Detail (Snow Mounds & Mountains)", "reason_1": "Video 1 depicts the mountains and snow, but the foreground lacks the specific 'gentle mounds' detail, appearing flatter.", "reason_2": "Video 2 renders distinct snow mounds in the foreground that glisten as described, adding better depth to the horizon.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific color palette and environmental details requested in the prompt much more accurately than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is somewhat soft and lacks definition in the snow textures and distant stars.", "reason_2": "The video is crisp with high contrast, making the stars look like 'scattered diamonds' and the snow texture distinct.", "score_1": 3, "score_2": 7}, {"name": "Motion Fluidity (Graceful Swirl)", "reason_1": "The motion of the aurora is smooth and consistent, though somewhat slow.", "reason_2": "The motion is equally smooth, capturing the 'graceful' nature of the lights without jitter.", "score_1": 5, "score_2": 5}, {"name": "Lighting Interaction & Glisten", "reason_1": "The lighting feels flat, with the snow not interacting dynamically with the light source.", "reason_2": "The lighting is dynamic, with the snow mounds appearing to 'glisten' under the changing colors of the aurora.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers superior sharpness, contrast, and texture definition compared to the softer, flatter look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Magical & Ethereal)", "reason_1": "The monochromatic green palette makes the scene feel standard rather than magical or ethereal.", "reason_2": "The blend of colors and the sparkling stars create a truly 'magical' and 'ethereal' atmosphere that elevates the aesthetic appeal.", "score_1": 2, "score_2": 8}, {"name": "Composition & Depth", "reason_1": "The composition is decent but feels a bit empty in the foreground.", "reason_2": "The framing uses the foreground snow mounds and the distant mountains effectively to create a strong sense of depth.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "While competent, it lacks the 'wow' factor due to limited color range and lower contrast.", "reason_2": "The video is visually striking, with vibrant colors and high contrast that make it highly engaging to watch.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully evokes the 'magical' and 'ethereal' mood through better color grading and composition.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in semantic accuracy, particularly regarding the color palette and environmental details. While Video 1 is predominantly monochromatic green, Video 2 successfully renders the requested mix of green, purple, and blue hues. Furthermore, Video 2 provides a much clearer 'mirror-like' reflection on the frozen lake and distinct 'glistening' snow mounds, whereas Video 1 appears flatter and less detailed.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 57.198} +{"pair_id": "083_seed_310", "sample_index": 83, "seed": 310, "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_310_The camera captures the ethereal northern lights s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_310_The camera captures the ethereal northern lights s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_310_The camera captures the ethereal northern lights s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_310_The camera captures the ethereal northern lights s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Aurora Color Palette (Green, Purple, Blue)\", \"reason_1\": \"Video 1 is almost entirely monochromatic green, missing the requested purple and blue hues.\", \"reason_2\": \"Video 2 successfully integrates the requested green, purple, and blue hues into the aurora display.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Reflection (Mirror-like Lake)\", \"reason_1\": \"Video 1 features a frozen foreground, but the reflection is dull and lacks the 'mirror-like' quality requested.\", \"reason_2\": \"Video 2 renders a distinct, vibrant reflection of the aurora on the ice, aligning well with the 'mirror-like effect' description.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Celestial Detail (Stars like Diamonds)\", \"reason_1\": \"Video 1 renders distinct, sharp points of light that resemble the 'scattered diamonds' description.\", \"reason_2\": \"Video 2's stars are somewhat washed out and obscured by the brightness of the aurora, lacking the distinct 'diamond' clarity.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Landscape Elements (Mountains & Snow)\", \"reason_1\": \"Video 1 accurately depicts the rugged mountains and snow-blanketed landscape.\", \"reason_2\": \"Video 2 also accurately depicts the mountains and snow, with perhaps slightly more depth in the foreground.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the specific color palette and environmental interaction (reflection) requested in the prompt much better than Video 1, which misses the purple/blue hues and the mirror-like quality of the lake.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high contrast and well-defined edges on the mountains and stars.\", \"reason_2\": \"The video appears softer and slightly blurry, lacking the crisp definition seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness (Graceful Swirl)\", \"reason_1\": \"The movement of the aurora is fluid and graceful, matching the 'ballet' description.\", \"reason_2\": \"The motion is smooth and consistent, effectively conveying the swirling nature of the lights.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Lighting & Contrast Balance\", \"reason_1\": \"Video 1 maintains a realistic night-time contrast, keeping the sky dark enough for the stars to pop.\", \"reason_2\": \"Video 2 is somewhat over-exposed/bright, reducing the dynamic range and making the scene look less realistic.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior technical execution with sharper details, better contrast, and a cleaner image, whereas Video 2 suffers from a softer, slightly blurry presentation.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Serene & Magical)\", \"reason_1\": \"The darker, crisp atmosphere effectively conveys the 'crisp and silent' and 'magical' feeling of the Arctic.\", \"reason_2\": \"The brightness of the scene detracts slightly from the 'crisp' and 'silent' mood, feeling more like a bright fantasy render.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition and clarity make for a more visually striking and professional-looking clip.\", \"reason_2\": \"While colorful, the lack of sharpness reduces the overall aesthetic impact compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Standard landscape framing that works well for the subject.\", \"reason_2\": \"Similar framing that effectively balances the sky and the foreground lake.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 creates a more convincing 'serene' and 'crisp' atmosphere through its high-quality rendering, whereas Video 2's softer look feels less immersive.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the overall winner due to its superior visual fidelity, sharpness, and realistic night-time contrast. While Video 2 adheres more strictly to the specific color palette (purple/blue) and reflection requirements, Video 1 delivers a much higher quality image with distinct stars and a 'crisper' atmosphere that better matches the prompt's descriptive tone.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Aurora Color Palette (Green, Purple, Blue)", "reason_1": "Video 1 is almost entirely monochromatic green, missing the requested purple and blue hues.", "reason_2": "Video 2 successfully integrates the requested green, purple, and blue hues into the aurora display.", "score_1": 3, "score_2": 7}, {"name": "Environmental Reflection (Mirror-like Lake)", "reason_1": "Video 1 features a frozen foreground, but the reflection is dull and lacks the 'mirror-like' quality requested.", "reason_2": "Video 2 renders a distinct, vibrant reflection of the aurora on the ice, aligning well with the 'mirror-like effect' description.", "score_1": 4, "score_2": 6}, {"name": "Celestial Detail (Stars like Diamonds)", "reason_1": "Video 1 renders distinct, sharp points of light that resemble the 'scattered diamonds' description.", "reason_2": "Video 2's stars are somewhat washed out and obscured by the brightness of the aurora, lacking the distinct 'diamond' clarity.", "score_1": 7, "score_2": 3}, {"name": "Landscape Elements (Mountains & Snow)", "reason_1": "Video 1 accurately depicts the rugged mountains and snow-blanketed landscape.", "reason_2": "Video 2 also accurately depicts the mountains and snow, with perhaps slightly more depth in the foreground.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the specific color palette and environmental interaction (reflection) requested in the prompt much better than Video 1, which misses the purple/blue hues and the mirror-like quality of the lake.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high contrast and well-defined edges on the mountains and stars.", "reason_2": "The video appears softer and slightly blurry, lacking the crisp definition seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness (Graceful Swirl)", "reason_1": "The movement of the aurora is fluid and graceful, matching the 'ballet' description.", "reason_2": "The motion is smooth and consistent, effectively conveying the swirling nature of the lights.", "score_1": 5, "score_2": 5}, {"name": "Lighting & Contrast Balance", "reason_1": "Video 1 maintains a realistic night-time contrast, keeping the sky dark enough for the stars to pop.", "reason_2": "Video 2 is somewhat over-exposed/bright, reducing the dynamic range and making the scene look less realistic.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior technical execution with sharper details, better contrast, and a cleaner image, whereas Video 2 suffers from a softer, slightly blurry presentation.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Serene & Magical)", "reason_1": "The darker, crisp atmosphere effectively conveys the 'crisp and silent' and 'magical' feeling of the Arctic.", "reason_2": "The brightness of the scene detracts slightly from the 'crisp' and 'silent' mood, feeling more like a bright fantasy render.", "score_1": 6, "score_2": 4}, {"name": "Overall Visual Appeal", "reason_1": "The composition and clarity make for a more visually striking and professional-looking clip.", "reason_2": "While colorful, the lack of sharpness reduces the overall aesthetic impact compared to Video 1.", "score_1": 6, "score_2": 4}, {"name": "Composition & Framing", "reason_1": "Standard landscape framing that works well for the subject.", "reason_2": "Similar framing that effectively balances the sky and the foreground lake.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 creates a more convincing 'serene' and 'crisp' atmosphere through its high-quality rendering, whereas Video 2's softer look feels less immersive.", "cat_winner": "Video 1"}], "reason": "Video 1 is the overall winner due to its superior visual fidelity, sharpness, and realistic night-time contrast. While Video 2 adheres more strictly to the specific color palette (purple/blue) and reflection requirements, Video 1 delivers a much higher quality image with distinct stars and a 'crisper' atmosphere that better matches the prompt's descriptive tone.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 56.0, "total_score_2": 44.0, "elapsed_sec": 60.168} +{"pair_id": "083_seed_930", "sample_index": 83, "seed": 930, "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Aurora Color Palette (Green, Purple, Blue)\", \"reason_1\": \"Video 1 is dominated almost exclusively by green hues, missing the requested purple and blue vibrancy.\", \"reason_2\": \"Video 2 clearly displays the requested mix of green, purple, and blue, creating a more accurate multi-colored display.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Reflection (Mirror-like Effect)\", \"reason_1\": \"The reflection in Video 1 is present but somewhat dull and lacks the 'mirror-like' clarity described.\", \"reason_2\": \"Video 2 features a highly distinct, mirror-like reflection on the frozen lake that vividly doubles the spectacle as requested.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Landscape Detail (Snow Mounds & Mountains)\", \"reason_1\": \"Video 1 renders the mountains and snow mounds with high definition and realistic texture.\", \"reason_2\": \"Video 2 includes the required elements, but the mountains and snow appear slightly softer and less detailed than in Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Celestial Elements (Stars & Twinkle)\", \"reason_1\": \"Video 1 shows stars, but they are faint and lack the 'scattered diamonds' prominence.\", \"reason_2\": \"Video 2 renders brighter, more distinct stars that better fit the 'twinkle like scattered diamonds' description.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific color palette and environmental details (reflection, stars) more accurately according to the text description.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with sharp edges on the mountains and clear textures in the snow.\", \"reason_2\": \"The video appears slightly blurry and soft, lacking the high-definition crispness of Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness (Graceful Swirl)\", \"reason_1\": \"The movement of the aurora is fluid and graceful, matching the 'ballet' description well.\", \"reason_2\": \"The motion is smooth and consistent, effectively conveying the swirling nature of the lights.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Lighting Interaction & Contrast\", \"reason_1\": \"Video 1 has better contrast, making the light sources pop against the dark sky.\", \"reason_2\": \"Video 2 has a flatter lighting profile, which reduces the perceived depth of the scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates superior technical fidelity with sharper details and better contrast, whereas Video 2 suffers from slight softness.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Magical & Ethereal)\", \"reason_1\": \"The mood is realistic and cold, but lacks the heightened 'magical' quality requested.\", \"reason_2\": \"The combination of vibrant colors and the glowing reflection creates a strong sense of magic and ethereal beauty.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The color palette is somewhat monochromatic (green), limiting the visual impact.\", \"reason_2\": \"The blend of purple, blue, and green creates a rich, harmonious, and vibrant aesthetic that is visually captivating.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, with the mountains providing a solid anchor for the sky.\", \"reason_2\": \"The composition is equally effective, utilizing the reflection to balance the frame vertically.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 excels in creating the 'magical' and 'ethereal' atmosphere requested, largely due to its superior color harmony and vibrant presentation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the superior generation because it adheres much more strictly to the specific color requirements of the prompt (green, purple, and blue) and successfully renders the 'mirror-like' reflection on the frozen lake. While Video 1 offers higher sharpness, it lacks the requested color variety and the vividness of the reflection found in Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Aurora Color Palette (Green, Purple, Blue)", "reason_1": "Video 1 is dominated almost exclusively by green hues, missing the requested purple and blue vibrancy.", "reason_2": "Video 2 clearly displays the requested mix of green, purple, and blue, creating a more accurate multi-colored display.", "score_1": 3, "score_2": 7}, {"name": "Environmental Reflection (Mirror-like Effect)", "reason_1": "The reflection in Video 1 is present but somewhat dull and lacks the 'mirror-like' clarity described.", "reason_2": "Video 2 features a highly distinct, mirror-like reflection on the frozen lake that vividly doubles the spectacle as requested.", "score_1": 4, "score_2": 6}, {"name": "Landscape Detail (Snow Mounds & Mountains)", "reason_1": "Video 1 renders the mountains and snow mounds with high definition and realistic texture.", "reason_2": "Video 2 includes the required elements, but the mountains and snow appear slightly softer and less detailed than in Video 1.", "score_1": 6, "score_2": 4}, {"name": "Celestial Elements (Stars & Twinkle)", "reason_1": "Video 1 shows stars, but they are faint and lack the 'scattered diamonds' prominence.", "reason_2": "Video 2 renders brighter, more distinct stars that better fit the 'twinkle like scattered diamonds' description.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific color palette and environmental details (reflection, stars) more accurately according to the text description.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with sharp edges on the mountains and clear textures in the snow.", "reason_2": "The video appears slightly blurry and soft, lacking the high-definition crispness of Video 1.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness (Graceful Swirl)", "reason_1": "The movement of the aurora is fluid and graceful, matching the 'ballet' description well.", "reason_2": "The motion is smooth and consistent, effectively conveying the swirling nature of the lights.", "score_1": 5, "score_2": 5}, {"name": "Lighting Interaction & Contrast", "reason_1": "Video 1 has better contrast, making the light sources pop against the dark sky.", "reason_2": "Video 2 has a flatter lighting profile, which reduces the perceived depth of the scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates superior technical fidelity with sharper details and better contrast, whereas Video 2 suffers from slight softness.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Magical & Ethereal)", "reason_1": "The mood is realistic and cold, but lacks the heightened 'magical' quality requested.", "reason_2": "The combination of vibrant colors and the glowing reflection creates a strong sense of magic and ethereal beauty.", "score_1": 4, "score_2": 6}, {"name": "Color Harmony & Vibrancy", "reason_1": "The color palette is somewhat monochromatic (green), limiting the visual impact.", "reason_2": "The blend of purple, blue, and green creates a rich, harmonious, and vibrant aesthetic that is visually captivating.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing is balanced, with the mountains providing a solid anchor for the sky.", "reason_2": "The composition is equally effective, utilizing the reflection to balance the frame vertically.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 excels in creating the 'magical' and 'ethereal' atmosphere requested, largely due to its superior color harmony and vibrant presentation.", "cat_winner": "Video 2"}], "reason": "Video 2 is the superior generation because it adheres much more strictly to the specific color requirements of the prompt (green, purple, and blue) and successfully renders the 'mirror-like' reflection on the frozen lake. While Video 1 offers higher sharpness, it lacks the requested color variety and the vividness of the reflection found in Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 48.0, "total_score_2": 52.0, "elapsed_sec": 58.985} +{"pair_id": "084_seed_42", "sample_index": 84, "seed": 42, "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Appearance\", \"reason_1\": \"Video 1 correctly depicts the rugged jacket and cargo pants, though the textures are somewhat muddy.\", \"reason_2\": \"Video 2 also correctly depicts the attire with slightly better definition of the fabric folds and rugged aesthetic.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Facial Expression & Emotional Intensity\", \"reason_1\": \"The subject's face in Video 1 is heavily distorted and morphs constantly, failing to convey a readable 'intense, wide-eyed' expression.\", \"reason_2\": \"Video 2 maintains a consistent facial structure that clearly conveys the requested intensity, determination, and urgency.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting (Dappled Sunlight)\", \"reason_1\": \"Video 1 has flat, diffuse lighting that misses the specific instruction for 'dappled patterns' on the face.\", \"reason_2\": \"Video 2 successfully renders high-contrast lighting with distinct dappled sunlight patterns on the subject's face and clothing, matching the prompt perfectly.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Dynamics (Sprinting)\", \"reason_1\": \"The sprinting motion is present but feels slightly floaty and disconnected from the ground.\", \"reason_2\": \"The sprinting motion feels more grounded and physically plausible, conveying the 'wild dash' effectively.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific lighting and emotional requirements of the prompt much better than Video 1, which struggles with facial expression due to distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's face changes shape and features significantly throughout the clip, breaking immersion completely.\", \"reason_2\": \"The subject's facial identity remains remarkably consistent throughout the sprint, maintaining a recognizable likeness.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Body & Clothing)\", \"reason_1\": \"The jacket and limbs in Video 1 exhibit 'melting' artifacts and unnatural warping during movement.\", \"reason_2\": \"Video 2 maintains the structural integrity of the body and clothing much better, with only minor artifacts.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The overall image is softer and lacks the crisp detail seen in the comparison video.\", \"reason_2\": \"The video is sharper, with better definition in the trees and the subject's features.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This is the deciding category. Video 1 fails significantly on temporal stability, while Video 2 maintains a coherent subject throughout the clip.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"The lighting is functional but lacks the dramatic, cinematic quality implied by the prompt's description of sunlight and adrenaline.\", \"reason_2\": \"The lighting creates a strong mood, effectively highlighting the subject and enhancing the sense of urgency.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Motion & Tracking\", \"reason_1\": \"The camera tracks the subject adequately, though the background blur feels somewhat artificial.\", \"reason_2\": \"The camera work is smooth and keeps the subject well-framed, enhancing the feeling of a chase or sprint.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is low due to the distracting morphing artifacts and lack of contrast.\", \"reason_2\": \"The video is visually engaging, with good color contrast and a professional look that fits the 'action movie' tone of the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a more cinematic look with better lighting composition and a stronger sense of urgency.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily due to superior temporal stability and visual fidelity. While both videos attempt the prompt, Video 1 suffers from severe facial morphing and identity loss, making the 'intense expression' impossible to read. Video 2 maintains a consistent character identity, renders the requested 'dappled sunlight' much more effectively, and delivers a sharper, more cinematic image with better motion coherence.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Appearance", "reason_1": "Video 1 correctly depicts the rugged jacket and cargo pants, though the textures are somewhat muddy.", "reason_2": "Video 2 also correctly depicts the attire with slightly better definition of the fabric folds and rugged aesthetic.", "score_1": 5, "score_2": 5}, {"name": "Facial Expression & Emotional Intensity", "reason_1": "The subject's face in Video 1 is heavily distorted and morphs constantly, failing to convey a readable 'intense, wide-eyed' expression.", "reason_2": "Video 2 maintains a consistent facial structure that clearly conveys the requested intensity, determination, and urgency.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting (Dappled Sunlight)", "reason_1": "Video 1 has flat, diffuse lighting that misses the specific instruction for 'dappled patterns' on the face.", "reason_2": "Video 2 successfully renders high-contrast lighting with distinct dappled sunlight patterns on the subject's face and clothing, matching the prompt perfectly.", "score_1": 3, "score_2": 7}, {"name": "Action Dynamics (Sprinting)", "reason_1": "The sprinting motion is present but feels slightly floaty and disconnected from the ground.", "reason_2": "The sprinting motion feels more grounded and physically plausible, conveying the 'wild dash' effectively.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific lighting and emotional requirements of the prompt much better than Video 1, which struggles with facial expression due to distortion.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's face changes shape and features significantly throughout the clip, breaking immersion completely.", "reason_2": "The subject's facial identity remains remarkably consistent throughout the sprint, maintaining a recognizable likeness.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Body & Clothing)", "reason_1": "The jacket and limbs in Video 1 exhibit 'melting' artifacts and unnatural warping during movement.", "reason_2": "Video 2 maintains the structural integrity of the body and clothing much better, with only minor artifacts.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The overall image is softer and lacks the crisp detail seen in the comparison video.", "reason_2": "The video is sharper, with better definition in the trees and the subject's features.", "score_1": 4, "score_2": 6}], "cat_reason": "This is the deciding category. Video 1 fails significantly on temporal stability, while Video 2 maintains a coherent subject throughout the clip.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "The lighting is functional but lacks the dramatic, cinematic quality implied by the prompt's description of sunlight and adrenaline.", "reason_2": "The lighting creates a strong mood, effectively highlighting the subject and enhancing the sense of urgency.", "score_1": 3, "score_2": 7}, {"name": "Camera Motion & Tracking", "reason_1": "The camera tracks the subject adequately, though the background blur feels somewhat artificial.", "reason_2": "The camera work is smooth and keeps the subject well-framed, enhancing the feeling of a chase or sprint.", "score_1": 5, "score_2": 5}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is low due to the distracting morphing artifacts and lack of contrast.", "reason_2": "The video is visually engaging, with good color contrast and a professional look that fits the 'action movie' tone of the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a more cinematic look with better lighting composition and a stronger sense of urgency.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily due to superior temporal stability and visual fidelity. While both videos attempt the prompt, Video 1 suffers from severe facial morphing and identity loss, making the 'intense expression' impossible to read. Video 2 maintains a consistent character identity, renders the requested 'dappled sunlight' much more effectively, and delivers a sharper, more cinematic image with better motion coherence.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 33.0, "total_score_2": 67.0, "elapsed_sec": 57.961} +{"pair_id": "084_seed_310", "sample_index": 84, "seed": 310, "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_310_A man wearing a rugged outdoor jacket and cargo pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_310_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_310_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_310_A man wearing a rugged outdoor jacket and cargo pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Appearance\", \"reason_1\": \"Video 1 correctly depicts the rugged jacket and cargo pants with a consistent look.\", \"reason_2\": \"Video 2 also correctly depicts the attire, though the jacket appears slightly bulkier.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Atmosphere (Lighting & Blur)\", \"reason_1\": \"Video 1 captures the 'blur into streaks' and 'dappled patterns' effectively, creating a sense of speed.\", \"reason_2\": \"Video 2 has a flatter lighting profile and lacks the dynamic motion blur described in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Expression Fidelity (Intense/Wide-eyed)\", \"reason_1\": \"Video 1 maintains a consistent expression of exertion and intensity.\", \"reason_2\": \"Video 2 attempts the expression, but the facial features distort, making the emotion read as glitchy rather than intense.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 better captures the specific atmospheric details like the motion blur and dappled lighting, whereas Video 2 feels flatter and less dynamic.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's face remains recognizable and consistent throughout the clip.\", \"reason_2\": \"The subject's face morphs significantly, changing structure and features multiple times, breaking immersion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The body mechanics and clothing folds move naturally with the sprint.\", \"reason_2\": \"The subject's shoulders and arms warp unnaturally during the running motion.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is reasonably sharp with good texture definition on the clothing.\", \"reason_2\": \"The video appears softer and suffers from generation artifacts around the edges of the subject.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a stable human form, while Video 2 fails significantly with facial morphing and anatomical warping.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Motion & Camera Work\", \"reason_1\": \"The camera movement feels like a handheld tracking shot, enhancing the urgency.\", \"reason_2\": \"The camera motion feels disconnected from the subject's speed, reducing the impact.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Mood & Tension\", \"reason_1\": \"The combination of lighting, blur, and expression successfully conveys the 'adrenaline' and 'tension' requested.\", \"reason_2\": \"The mood is disrupted by the technical flaws, failing to convey the intended narrative tension.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Aesthetically pleasing with a coherent color palette and style.\", \"reason_2\": \"Visually distracting due to the unstable subject generation.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 feels like a coherent cinematic shot, whereas Video 2 feels like a disjointed generation due to the visual artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner primarily due to superior temporal stability and subject consistency. While both videos attempt the prompt's semantic elements, Video 2 suffers from severe facial morphing and anatomical distortion throughout the clip, which breaks the realism. Video 1 maintains a consistent character identity, better captures the requested 'dappled lighting' and 'motion blur' effects, and delivers a more cinematic and coherent visual experience.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Appearance", "reason_1": "Video 1 correctly depicts the rugged jacket and cargo pants with a consistent look.", "reason_2": "Video 2 also correctly depicts the attire, though the jacket appears slightly bulkier.", "score_1": 5, "score_2": 5}, {"name": "Environmental Atmosphere (Lighting & Blur)", "reason_1": "Video 1 captures the 'blur into streaks' and 'dappled patterns' effectively, creating a sense of speed.", "reason_2": "Video 2 has a flatter lighting profile and lacks the dynamic motion blur described in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Expression Fidelity (Intense/Wide-eyed)", "reason_1": "Video 1 maintains a consistent expression of exertion and intensity.", "reason_2": "Video 2 attempts the expression, but the facial features distort, making the emotion read as glitchy rather than intense.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 better captures the specific atmospheric details like the motion blur and dappled lighting, whereas Video 2 feels flatter and less dynamic.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's face remains recognizable and consistent throughout the clip.", "reason_2": "The subject's face morphs significantly, changing structure and features multiple times, breaking immersion.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Anatomy)", "reason_1": "The body mechanics and clothing folds move naturally with the sprint.", "reason_2": "The subject's shoulders and arms warp unnaturally during the running motion.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is reasonably sharp with good texture definition on the clothing.", "reason_2": "The video appears softer and suffers from generation artifacts around the edges of the subject.", "score_1": 6, "score_2": 4}], "cat_reason": "This is the deciding category. Video 1 maintains a stable human form, while Video 2 fails significantly with facial morphing and anatomical warping.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Motion & Camera Work", "reason_1": "The camera movement feels like a handheld tracking shot, enhancing the urgency.", "reason_2": "The camera motion feels disconnected from the subject's speed, reducing the impact.", "score_1": 7, "score_2": 3}, {"name": "Mood & Tension", "reason_1": "The combination of lighting, blur, and expression successfully conveys the 'adrenaline' and 'tension' requested.", "reason_2": "The mood is disrupted by the technical flaws, failing to convey the intended narrative tension.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Aesthetically pleasing with a coherent color palette and style.", "reason_2": "Visually distracting due to the unstable subject generation.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 feels like a coherent cinematic shot, whereas Video 2 feels like a disjointed generation due to the visual artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner primarily due to superior temporal stability and subject consistency. While both videos attempt the prompt's semantic elements, Video 2 suffers from severe facial morphing and anatomical distortion throughout the clip, which breaks the realism. Video 1 maintains a consistent character identity, better captures the requested 'dappled lighting' and 'motion blur' effects, and delivers a more cinematic and coherent visual experience.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 60.0, "total_score_2": 30.0, "elapsed_sec": 53.803} +{"pair_id": "084_seed_930", "sample_index": 84, "seed": 930, "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Appearance\", \"reason_1\": \"Video 1 correctly depicts the rugged jacket and cargo pants, though the textures are somewhat muddy.\", \"reason_2\": \"Video 2 also correctly depicts the attire with slightly better definition on the jacket's material.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Facial Expression Fidelity\", \"reason_1\": \"The subject's face in Video 1 is heavily distorted and morphs constantly, failing to convey a readable 'intense, wide-eyed' expression.\", \"reason_2\": \"Video 2 maintains a consistent facial structure that clearly conveys the requested intensity and wide-eyed urgency.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting (Dappled Sunlight)\", \"reason_1\": \"Video 1 has flat, diffuse lighting that misses the specific instruction for 'dappled patterns' on the face.\", \"reason_2\": \"Video 2 successfully renders high-contrast lighting with distinct highlights and shadows on the subject's face, matching the 'sunlight filters through' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Context (Sprinting/Urgency)\", \"reason_1\": \"The subject is running, but the motion feels slightly floaty and lacks the visceral sense of 'navigating uneven terrain'.\", \"reason_2\": \"The subject's body language and the camera shake in Video 2 better convey the physical exertion and urgency of a sprint.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific lighting and expression requirements much better than Video 1, which struggles to render a coherent face.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's face changes shape and features significantly throughout the clip, breaking immersion completely.\", \"reason_2\": \"The subject's identity remains consistent and recognizable from the first frame to the last.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 exhibits severe warping artifacts, particularly around the hands and face, where the subject appears to melt.\", \"reason_2\": \"Video 2 maintains solid structural integrity of the subject's body and clothing during rapid movement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is soft and lacks definition, appearing somewhat low-resolution.\", \"reason_2\": \"The video is sharper with better definition of textures in the forest and clothing.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, maintaining subject identity and structural integrity, whereas Video 1 suffers from severe hallucinations and warping.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Motion Blur (Speed Emphasis)\", \"reason_1\": \"Video 1 attempts motion blur, but it results in a messy, smeary look rather than a stylistic emphasis on speed.\", \"reason_2\": \"Video 2 uses directional blur on the background trees effectively to create a sense of speed while keeping the subject relatively sharp.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Tension & Mood\", \"reason_1\": \"The mood is dampened by the technical artifacts, making it feel more like a glitchy render than a tense narrative scene.\", \"reason_2\": \"The combination of lighting, expression, and camera movement successfully evokes the 'adrenaline' and 'tension' described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Work & Framing\", \"reason_1\": \"The camera follows the subject but feels disconnected from the action.\", \"reason_2\": \"The camera movement feels more organic, simulating a handheld or stabilized chase shot that enhances the realism.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 effectively uses cinematic techniques like motion blur and lighting to create the requested mood, while Video 1 feels like a raw, unpolished generation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, temporal stability, and semantic accuracy. While both videos depict the correct subject and setting, Video 2 maintains a consistent facial identity and successfully renders the specific lighting effects (dappled sunlight) requested in the prompt. Video 1 suffers from severe morphological instability, with the subject's face and body warping noticeably, and lacks the cinematic lighting and motion blur that gives Video 2 its sense of urgency and speed.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Appearance", "reason_1": "Video 1 correctly depicts the rugged jacket and cargo pants, though the textures are somewhat muddy.", "reason_2": "Video 2 also correctly depicts the attire with slightly better definition on the jacket's material.", "score_1": 5, "score_2": 5}, {"name": "Facial Expression Fidelity", "reason_1": "The subject's face in Video 1 is heavily distorted and morphs constantly, failing to convey a readable 'intense, wide-eyed' expression.", "reason_2": "Video 2 maintains a consistent facial structure that clearly conveys the requested intensity and wide-eyed urgency.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting (Dappled Sunlight)", "reason_1": "Video 1 has flat, diffuse lighting that misses the specific instruction for 'dappled patterns' on the face.", "reason_2": "Video 2 successfully renders high-contrast lighting with distinct highlights and shadows on the subject's face, matching the 'sunlight filters through' description.", "score_1": 3, "score_2": 7}, {"name": "Action Context (Sprinting/Urgency)", "reason_1": "The subject is running, but the motion feels slightly floaty and lacks the visceral sense of 'navigating uneven terrain'.", "reason_2": "The subject's body language and the camera shake in Video 2 better convey the physical exertion and urgency of a sprint.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific lighting and expression requirements much better than Video 1, which struggles to render a coherent face.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's face changes shape and features significantly throughout the clip, breaking immersion completely.", "reason_2": "The subject's identity remains consistent and recognizable from the first frame to the last.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "Video 1 exhibits severe warping artifacts, particularly around the hands and face, where the subject appears to melt.", "reason_2": "Video 2 maintains solid structural integrity of the subject's body and clothing during rapid movement.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is soft and lacks definition, appearing somewhat low-resolution.", "reason_2": "The video is sharper with better definition of textures in the forest and clothing.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, maintaining subject identity and structural integrity, whereas Video 1 suffers from severe hallucinations and warping.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Motion Blur (Speed Emphasis)", "reason_1": "Video 1 attempts motion blur, but it results in a messy, smeary look rather than a stylistic emphasis on speed.", "reason_2": "Video 2 uses directional blur on the background trees effectively to create a sense of speed while keeping the subject relatively sharp.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Tension & Mood", "reason_1": "The mood is dampened by the technical artifacts, making it feel more like a glitchy render than a tense narrative scene.", "reason_2": "The combination of lighting, expression, and camera movement successfully evokes the 'adrenaline' and 'tension' described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Camera Work & Framing", "reason_1": "The camera follows the subject but feels disconnected from the action.", "reason_2": "The camera movement feels more organic, simulating a handheld or stabilized chase shot that enhances the realism.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 effectively uses cinematic techniques like motion blur and lighting to create the requested mood, while Video 1 feels like a raw, unpolished generation.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, temporal stability, and semantic accuracy. While both videos depict the correct subject and setting, Video 2 maintains a consistent facial identity and successfully renders the specific lighting effects (dappled sunlight) requested in the prompt. Video 1 suffers from severe morphological instability, with the subject's face and body warping noticeably, and lacks the cinematic lighting and motion blur that gives Video 2 its sense of urgency and speed.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 30.0, "total_score_2": 70.0, "elapsed_sec": 64.748} +{"pair_id": "085_seed_42", "sample_index": 85, "seed": 42, "prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Sequential Landscape Completeness\", \"reason_1\": \"Video 1 clearly depicts the glacial canyon, the forest, and the desert in a logical sequence.\", \"reason_2\": \"Video 2 fails to render the 'glacial canyon' entirely, starting with an abstract purple texture that does not resemble ice or a canyon.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Ice & Clouds)\", \"reason_1\": \"The ice walls in Video 1 are blue, towering, and glistening as requested. The clouds are fluffy and pastel.\", \"reason_2\": \"The initial texture in Video 2 is pink/purple and looks like fabric or slime, failing the 'icy' attribute completely.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Transition Logic\", \"reason_1\": \"Video 1 executes the requested transitions (Canyon -> Clouds -> Forest -> Desert) with a sense of journey.\", \"reason_2\": \"Video 2's transitions are disjointed; the shift from the abstract start to the forest feels like a glitch rather than a narrative flow.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific environments requested, particularly the glacial canyon, which is absent in Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Definition & Clarity\", \"reason_1\": \"Textures for the ice, trees, and sand are distinct and reasonably sharp.\", \"reason_2\": \"The video is blurry, and the initial texture is undefined and noisy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects maintain their form reasonably well during the camera movement.\", \"reason_2\": \"The initial purple mass morphs unnaturally into trees, lacking physical plausibility.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"The camera glides smoothly through the space.\", \"reason_2\": \"The motion is jerky, especially during the transition from the abstract start to the forest scene.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains better texture definition and motion stability, whereas Video 2 suffers from severe morphing artifacts and low clarity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Palette Harmony\", \"reason_1\": \"Video 1 uses a cohesive palette of muted blues, greens, and warm desert tones that tie the scenes together.\", \"reason_2\": \"Video 2 starts with a jarring, unnatural pink/purple hue that clashes with the subsequent natural scenes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Mood (Ethereal/Dreamlike)\", \"reason_1\": \"The lighting and soft focus in Video 1 successfully evoke the requested dreamlike quality.\", \"reason_2\": \"The glitchy start and flat lighting in the forest section break the immersion and mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a wide shot that effectively establishes the scale of the canyon and the vastness of the desert.\", \"reason_2\": \"Video 2 feels cramped and lacks a clear focal point or sense of scale.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the 'dreamlike' and 'majestic' mood through better composition and color grading.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully visualizes the specific sequence of landscapes described in the prompt, starting with a recognizable glacial canyon and transitioning smoothly to the forest and desert. Video 2 fails significantly at the start, presenting an abstract, unrecognizable purple texture instead of a glacial canyon, and suffers from lower visual fidelity and disjointed transitions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Sequential Landscape Completeness", "reason_1": "Video 1 clearly depicts the glacial canyon, the forest, and the desert in a logical sequence.", "reason_2": "Video 2 fails to render the 'glacial canyon' entirely, starting with an abstract purple texture that does not resemble ice or a canyon.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Ice & Clouds)", "reason_1": "The ice walls in Video 1 are blue, towering, and glistening as requested. The clouds are fluffy and pastel.", "reason_2": "The initial texture in Video 2 is pink/purple and looks like fabric or slime, failing the 'icy' attribute completely.", "score_1": 8, "score_2": 2}, {"name": "Environmental Transition Logic", "reason_1": "Video 1 executes the requested transitions (Canyon -> Clouds -> Forest -> Desert) with a sense of journey.", "reason_2": "Video 2's transitions are disjointed; the shift from the abstract start to the forest feels like a glitch rather than a narrative flow.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific environments requested, particularly the glacial canyon, which is absent in Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Definition & Clarity", "reason_1": "Textures for the ice, trees, and sand are distinct and reasonably sharp.", "reason_2": "The video is blurry, and the initial texture is undefined and noisy.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability", "reason_1": "Objects maintain their form reasonably well during the camera movement.", "reason_2": "The initial purple mass morphs unnaturally into trees, lacking physical plausibility.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity", "reason_1": "The camera glides smoothly through the space.", "reason_2": "The motion is jerky, especially during the transition from the abstract start to the forest scene.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains better texture definition and motion stability, whereas Video 2 suffers from severe morphing artifacts and low clarity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Palette Harmony", "reason_1": "Video 1 uses a cohesive palette of muted blues, greens, and warm desert tones that tie the scenes together.", "reason_2": "Video 2 starts with a jarring, unnatural pink/purple hue that clashes with the subsequent natural scenes.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Mood (Ethereal/Dreamlike)", "reason_1": "The lighting and soft focus in Video 1 successfully evoke the requested dreamlike quality.", "reason_2": "The glitchy start and flat lighting in the forest section break the immersion and mood.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a wide shot that effectively establishes the scale of the canyon and the vastness of the desert.", "reason_2": "Video 2 feels cramped and lacks a clear focal point or sense of scale.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the 'dreamlike' and 'majestic' mood through better composition and color grading.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully visualizes the specific sequence of landscapes described in the prompt, starting with a recognizable glacial canyon and transitioning smoothly to the forest and desert. Video 2 fails significantly at the start, presenting an abstract, unrecognizable purple texture instead of a glacial canyon, and suffers from lower visual fidelity and disjointed transitions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 55.322} +{"pair_id": "085_seed_310", "sample_index": 85, "seed": 310, "prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_310_The camera glides through a majestic glacial canyo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_310_The camera glides through a majestic glacial canyo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_310_The camera glides through a majestic glacial canyo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_310_The camera glides through a majestic glacial canyo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Sequential Landscape Generation\", \"reason_1\": \"Video 1 clearly depicts the glacial canyon, the clouds, the forest, and the desert in the correct order.\", \"reason_2\": \"Video 2 presents a confused mix of textures where the canyon, forest, and desert are indistinguishable from one another.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Colors & Textures)\", \"reason_1\": \"Video 1 accurately renders 'muted green' leaves, 'pastel sky', and 'icy walls' with distinct textures.\", \"reason_2\": \"Video 2 fails to render specific textures; the trees look like stretched artifacts and the ice lacks definition.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Intent (Gliding/Soaring)\", \"reason_1\": \"The camera in Video 1 moves forward smoothly, simulating a flight or glide through the environment.\", \"reason_2\": \"The motion in Video 2 is erratic and feels like a texture scroll rather than a camera moving through 3D space.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully identifies and renders the four distinct biomes in the requested order. Video 2 fails to generate distinct environments, resulting in a confused visual mashup.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Objects in Video 1 (trees, dunes) maintain their shape and structure as the camera moves.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and warping; trees stretch unnaturally and the background shifts like liquid.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, clear, and free of distracting noise.\", \"reason_2\": \"The video is blurry, low-resolution, and contains significant visual artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The movement is fluid and consistent.\", \"reason_2\": \"The motion is jerky and disorienting due to the rapid morphing of the image.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains structural integrity throughout the clip. Video 2 is plagued by severe warping, stretching, and low-resolution artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Dreamlike/Ethereal)\", \"reason_1\": \"Video 1 successfully establishes a soft, pastel, and dreamlike mood consistent with the prompt.\", \"reason_2\": \"Video 2 feels chaotic and glitchy, failing to evoke the requested serenity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Palette Harmony\", \"reason_1\": \"The muted greens, pinks, and blues blend harmoniously as requested.\", \"reason_2\": \"The colors are muddy and lack the cohesive pastel harmony seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Compositional Depth\", \"reason_1\": \"Video 1 uses the canyon walls to frame the shot, creating a strong sense of depth and scale.\", \"reason_2\": \"Video 2 appears flat, lacking proper foreground-background separation.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'dreamlike' and 'ethereal' mood requested, using the canyon as a framing device. Video 2 lacks aesthetic coherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Transition Mechanics & Spatial Logic\", \"dims\": [{\"name\": \"Transition Fluidity\", \"reason_1\": \"The shift from the canyon to the clouds and then to the desert is handled with a smooth, dreamlike morph.\", \"reason_2\": \"There are no distinct transitions, only a constant, jarring morphing of the entire frame.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Spatial Continuity\", \"reason_1\": \"The viewer feels they are traveling through a continuous space that changes biomes.\", \"reason_2\": \"The spatial logic is broken; the environment does not feel like a place one can travel through.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Distinctiveness\", \"reason_1\": \"Each biome (Ice, Cloud, Forest, Desert) is visually distinct yet stylistically linked.\", \"reason_2\": \"The environments bleed into each other indistinguishably.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This personalized category evaluates the specific requirement of 'seamless flow' between biomes. Video 1 handles this transition logically, while Video 2 fails completely.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the complex sequential narrative of the prompt, transitioning smoothly between the glacial canyon, cloudscape, forest, and desert. It maintains high visual stability and a consistent aesthetic. Video 2 suffers from severe morphological instability, where objects warp and melt rather than transitioning, and fails to clearly distinguish the required environments.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Sequential Landscape Generation", "reason_1": "Video 1 clearly depicts the glacial canyon, the clouds, the forest, and the desert in the correct order.", "reason_2": "Video 2 presents a confused mix of textures where the canyon, forest, and desert are indistinguishable from one another.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Colors & Textures)", "reason_1": "Video 1 accurately renders 'muted green' leaves, 'pastel sky', and 'icy walls' with distinct textures.", "reason_2": "Video 2 fails to render specific textures; the trees look like stretched artifacts and the ice lacks definition.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Intent (Gliding/Soaring)", "reason_1": "The camera in Video 1 moves forward smoothly, simulating a flight or glide through the environment.", "reason_2": "The motion in Video 2 is erratic and feels like a texture scroll rather than a camera moving through 3D space.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully identifies and renders the four distinct biomes in the requested order. Video 2 fails to generate distinct environments, resulting in a confused visual mashup.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Objects in Video 1 (trees, dunes) maintain their shape and structure as the camera moves.", "reason_2": "Video 2 exhibits severe 'melting' and warping; trees stretch unnaturally and the background shifts like liquid.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, clear, and free of distracting noise.", "reason_2": "The video is blurry, low-resolution, and contains significant visual artifacts.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The movement is fluid and consistent.", "reason_2": "The motion is jerky and disorienting due to the rapid morphing of the image.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains structural integrity throughout the clip. Video 2 is plagued by severe warping, stretching, and low-resolution artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Dreamlike/Ethereal)", "reason_1": "Video 1 successfully establishes a soft, pastel, and dreamlike mood consistent with the prompt.", "reason_2": "Video 2 feels chaotic and glitchy, failing to evoke the requested serenity.", "score_1": 9, "score_2": 1}, {"name": "Color Palette Harmony", "reason_1": "The muted greens, pinks, and blues blend harmoniously as requested.", "reason_2": "The colors are muddy and lack the cohesive pastel harmony seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Compositional Depth", "reason_1": "Video 1 uses the canyon walls to frame the shot, creating a strong sense of depth and scale.", "reason_2": "Video 2 appears flat, lacking proper foreground-background separation.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'dreamlike' and 'ethereal' mood requested, using the canyon as a framing device. Video 2 lacks aesthetic coherence.", "cat_winner": "Video 1"}, {"name": "D. Transition Mechanics & Spatial Logic", "dims": [{"name": "Transition Fluidity", "reason_1": "The shift from the canyon to the clouds and then to the desert is handled with a smooth, dreamlike morph.", "reason_2": "There are no distinct transitions, only a constant, jarring morphing of the entire frame.", "score_1": 8, "score_2": 2}, {"name": "Spatial Continuity", "reason_1": "The viewer feels they are traveling through a continuous space that changes biomes.", "reason_2": "The spatial logic is broken; the environment does not feel like a place one can travel through.", "score_1": 7, "score_2": 3}, {"name": "Environmental Distinctiveness", "reason_1": "Each biome (Ice, Cloud, Forest, Desert) is visually distinct yet stylistically linked.", "reason_2": "The environments bleed into each other indistinguishably.", "score_1": 9, "score_2": 1}], "cat_reason": "This personalized category evaluates the specific requirement of 'seamless flow' between biomes. Video 1 handles this transition logically, while Video 2 fails completely.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the complex sequential narrative of the prompt, transitioning smoothly between the glacial canyon, cloudscape, forest, and desert. It maintains high visual stability and a consistent aesthetic. Video 2 suffers from severe morphological instability, where objects warp and melt rather than transitioning, and fails to clearly distinguish the required environments.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 99.0, "total_score_2": 21.0, "elapsed_sec": 71.112} +{"pair_id": "085_seed_930", "sample_index": 85, "seed": 930, "prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_930_The camera glides through a majestic glacial canyo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_930_The camera glides through a majestic glacial canyo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_930_The camera glides through a majestic glacial canyo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_930_The camera glides through a majestic glacial canyo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Sequential Landscape Completeness\", \"reason_1\": \"Video 1 clearly depicts the glacial canyon, the cloudscape, the forest, and the desert in the correct order.\", \"reason_2\": \"Video 2 fails to clearly depict the glacial canyon (showing only abstract shapes) and the transition to the desert is muddy and unclear.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Colors & Textures)\", \"reason_1\": \"Video 1 accurately renders 'glistening' ice, 'muted green' leaves, and 'rolling dunes' with the requested pastel palette.\", \"reason_2\": \"Video 2 lacks texture definition; the ice looks like melted plastic, and the trees are indistinguishable from the background noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Specificity (Gliding/Soaring)\", \"reason_1\": \"The camera in Video 1 moves with a smooth, gliding sensation that matches the 'soaring' description.\", \"reason_2\": \"Video 2 features jerky, unstable camera movement that disrupts the sense of a 'glide'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully renders all four distinct environments in the correct sequence, whereas Video 2 fails to clearly depict the initial glacial canyon and struggles with the subsequent transitions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, clear, and high-resolution throughout the clip.\", \"reason_2\": \"The video is extremely blurry, pixelated, and lacks basic definition.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects maintain their shape and structure consistently during the camera movement.\", \"reason_2\": \"The environment in Video 2 constantly warps and morphs unnaturally, lacking physical solidity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion is fluid and consistent, free from stuttering.\", \"reason_2\": \"The motion is jittery and inconsistent, creating a jarring viewing experience.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a high level of visual fidelity and stability, while Video 2 is plagued by blurriness, low resolution, and severe morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Dreamlike/Ethereal)\", \"reason_1\": \"Video 1 perfectly captures the 'ethereal beauty' and 'dreamlike' quality with its soft lighting and pastel hues.\", \"reason_2\": \"Video 2 fails to establish any mood other than confusion due to its poor technical quality.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Palette Harmony\", \"reason_1\": \"The muted pinks, purples, and greens are blended harmoniously, tying the scenes together as requested.\", \"reason_2\": \"The colors are washed out and muddy, lacking the specific 'pastel' and 'muted' aesthetic requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow & Transition Logic\", \"reason_1\": \"The transitions between biomes feel intentional and cinematic, creating a cohesive journey.\", \"reason_2\": \"The transitions are abrupt and confusing, feeling more like a glitch than a narrative shift.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully creates the 'dreamlike' and 'harmonious' atmosphere requested, utilizing a consistent color palette. Video 2 fails to evoke the intended mood due to its chaotic visual presentation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the complex multi-stage narrative (Canyon -> Clouds -> Forest -> Desert) with high visual fidelity and a cohesive aesthetic. It captures the specific atmospheric requirements (pastel colors, ethereal lighting) and maintains smooth camera motion. Video 2 suffers from severe quality degradation, failing to render the initial glacial scene recognizably and lacking the visual clarity and stability required to convey the dreamlike narrative.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Sequential Landscape Completeness", "reason_1": "Video 1 clearly depicts the glacial canyon, the cloudscape, the forest, and the desert in the correct order.", "reason_2": "Video 2 fails to clearly depict the glacial canyon (showing only abstract shapes) and the transition to the desert is muddy and unclear.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Colors & Textures)", "reason_1": "Video 1 accurately renders 'glistening' ice, 'muted green' leaves, and 'rolling dunes' with the requested pastel palette.", "reason_2": "Video 2 lacks texture definition; the ice looks like melted plastic, and the trees are indistinguishable from the background noise.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Specificity (Gliding/Soaring)", "reason_1": "The camera in Video 1 moves with a smooth, gliding sensation that matches the 'soaring' description.", "reason_2": "Video 2 features jerky, unstable camera movement that disrupts the sense of a 'glide'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully renders all four distinct environments in the correct sequence, whereas Video 2 fails to clearly depict the initial glacial canyon and struggles with the subsequent transitions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, clear, and high-resolution throughout the clip.", "reason_2": "The video is extremely blurry, pixelated, and lacks basic definition.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Objects maintain their shape and structure consistently during the camera movement.", "reason_2": "The environment in Video 2 constantly warps and morphs unnaturally, lacking physical solidity.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The motion is fluid and consistent, free from stuttering.", "reason_2": "The motion is jittery and inconsistent, creating a jarring viewing experience.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a high level of visual fidelity and stability, while Video 2 is plagued by blurriness, low resolution, and severe morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Dreamlike/Ethereal)", "reason_1": "Video 1 perfectly captures the 'ethereal beauty' and 'dreamlike' quality with its soft lighting and pastel hues.", "reason_2": "Video 2 fails to establish any mood other than confusion due to its poor technical quality.", "score_1": 9, "score_2": 1}, {"name": "Color Palette Harmony", "reason_1": "The muted pinks, purples, and greens are blended harmoniously, tying the scenes together as requested.", "reason_2": "The colors are washed out and muddy, lacking the specific 'pastel' and 'muted' aesthetic requested.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow & Transition Logic", "reason_1": "The transitions between biomes feel intentional and cinematic, creating a cohesive journey.", "reason_2": "The transitions are abrupt and confusing, feeling more like a glitch than a narrative shift.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully creates the 'dreamlike' and 'harmonious' atmosphere requested, utilizing a consistent color palette. Video 2 fails to evoke the intended mood due to its chaotic visual presentation.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the complex multi-stage narrative (Canyon -> Clouds -> Forest -> Desert) with high visual fidelity and a cohesive aesthetic. It captures the specific atmospheric requirements (pastel colors, ethereal lighting) and maintains smooth camera motion. Video 2 suffers from severe quality degradation, failing to render the initial glacial scene recognizably and lacking the visual clarity and stability required to convey the dreamlike narrative.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 58.336} +{"pair_id": "086_seed_42", "sample_index": 86, "seed": 42, "prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Compliance (Rotation)\", \"reason_1\": \"Video 1 is essentially a static shot with negligible camera movement, completely failing the explicit instruction to 'rotate around her'.\", \"reason_2\": \"Video 2 executes a clear and continuous orbital camera movement around the subject, perfectly matching the prompt's requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject & Object Presence\", \"reason_1\": \"Video 1 correctly includes the woman, the piano, the beach, and the seagulls.\", \"reason_2\": \"Video 2 also correctly includes all primary subjects: the woman, the piano, the beach, and the seagulls.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Dress & Hair)\", \"reason_1\": \"Video 1 renders the white lace dress and flowing hair accurately.\", \"reason_2\": \"Video 2 renders the white lace dress and flowing hair accurately, with the dress details remaining visible during the rotation.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 followed the critical camera movement instruction which Video 1 ignored, while both videos successfully included the required subjects and environmental elements.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Structural Integrity (Piano)\", \"reason_1\": \"The piano in Video 1 maintains a solid, logical shape throughout the clip.\", \"reason_2\": \"The piano in Video 2 suffers from severe morphing; the lid and keys distort and shift shape unnaturally as the camera rotates.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent and stable.\", \"reason_2\": \"The subject's face undergoes slight morphing and distortion as the angle changes, losing some identity consistency.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Physics (Wind & Water)\", \"reason_1\": \"The wind effect on the hair is present but feels slightly stiff.\", \"reason_2\": \"Video 2 captures the 'gentle breeze rustling her hair' more dynamically and realistically.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 is technically more stable. Video 2 suffers from noticeable morphing and distortion of the piano structure and the subject's face during the camera movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Dynamism\", \"reason_1\": \"The lack of camera movement makes the shot feel flat and less engaging.\", \"reason_2\": \"The orbital shot adds significant cinematic value and depth, making the scene feel more immersive and professional.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Whimsical/Serene)\", \"reason_1\": \"Successfully captures the golden hour lighting and serene mood.\", \"reason_2\": \"Successfully captures the golden hour lighting and serene mood, enhanced by the movement.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Compositional Flow\", \"reason_1\": \"The composition is static and standard.\", \"reason_2\": \"The changing composition due to the rotation creates a more dynamic and visually interesting narrative flow.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a much more cinematic and engaging experience due to the dynamic camera work, which aligns with the 'enchanting' and 'whimsical' tone requested.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it successfully executes the specific camera movement instruction ('camera begins to rotate around her'), creating a dynamic and cinematic shot. Video 1, while visually stable, remains largely static and fails to perform the requested rotation. Although Video 2 exhibits some structural instability in the piano, its adherence to the complex motion prompt and superior atmospheric rendering make it the better generation.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Compliance (Rotation)", "reason_1": "Video 1 is essentially a static shot with negligible camera movement, completely failing the explicit instruction to 'rotate around her'.", "reason_2": "Video 2 executes a clear and continuous orbital camera movement around the subject, perfectly matching the prompt's requirement.", "score_1": 1, "score_2": 9}, {"name": "Subject & Object Presence", "reason_1": "Video 1 correctly includes the woman, the piano, the beach, and the seagulls.", "reason_2": "Video 2 also correctly includes all primary subjects: the woman, the piano, the beach, and the seagulls.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Dress & Hair)", "reason_1": "Video 1 renders the white lace dress and flowing hair accurately.", "reason_2": "Video 2 renders the white lace dress and flowing hair accurately, with the dress details remaining visible during the rotation.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 followed the critical camera movement instruction which Video 1 ignored, while both videos successfully included the required subjects and environmental elements.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Structural Integrity (Piano)", "reason_1": "The piano in Video 1 maintains a solid, logical shape throughout the clip.", "reason_2": "The piano in Video 2 suffers from severe morphing; the lid and keys distort and shift shape unnaturally as the camera rotates.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent and stable.", "reason_2": "The subject's face undergoes slight morphing and distortion as the angle changes, losing some identity consistency.", "score_1": 7, "score_2": 3}, {"name": "Environmental Physics (Wind & Water)", "reason_1": "The wind effect on the hair is present but feels slightly stiff.", "reason_2": "Video 2 captures the 'gentle breeze rustling her hair' more dynamically and realistically.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 is technically more stable. Video 2 suffers from noticeable morphing and distortion of the piano structure and the subject's face during the camera movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Dynamism", "reason_1": "The lack of camera movement makes the shot feel flat and less engaging.", "reason_2": "The orbital shot adds significant cinematic value and depth, making the scene feel more immersive and professional.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Whimsical/Serene)", "reason_1": "Successfully captures the golden hour lighting and serene mood.", "reason_2": "Successfully captures the golden hour lighting and serene mood, enhanced by the movement.", "score_1": 5, "score_2": 5}, {"name": "Compositional Flow", "reason_1": "The composition is static and standard.", "reason_2": "The changing composition due to the rotation creates a more dynamic and visually interesting narrative flow.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a much more cinematic and engaging experience due to the dynamic camera work, which aligns with the 'enchanting' and 'whimsical' tone requested.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it successfully executes the specific camera movement instruction ('camera begins to rotate around her'), creating a dynamic and cinematic shot. Video 1, while visually stable, remains largely static and fails to perform the requested rotation. Although Video 2 exhibits some structural instability in the piano, its adherence to the complex motion prompt and superior atmospheric rendering make it the better generation.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 40.0, "total_score_2": 50.0, "elapsed_sec": 53.254} +{"pair_id": "086_seed_310", "sample_index": 86, "seed": 310, "prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_310_A young woman with flowing hair sits gracefully at.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_310_A young woman with flowing hair sits gracefully at.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_310_A young woman with flowing hair sits gracefully at.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_310_A young woman with flowing hair sits gracefully at.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Compliance (Rotation)\", \"reason_1\": \"Video 1 is essentially a static shot with no perceptible camera rotation, failing a core instruction of the prompt.\", \"reason_2\": \"Video 2 executes a clear orbital camera movement around the subject, revealing the background and dress details as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject & Object Completeness\", \"reason_1\": \"Video 1 correctly includes the woman, the piano, the beach, and the seagull.\", \"reason_2\": \"Video 2 also correctly includes all primary subjects: woman, piano, beach, and seagulls.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Lace Dress & Hair)\", \"reason_1\": \"Video 1 renders the lace texture and hair flow with high detail and clarity.\", \"reason_2\": \"Video 2 includes the attributes, but the lace details are slightly less defined due to the motion blur and lower resolution.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 followed the critical camera movement instruction, whereas Video 1 ignored it entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high-resolution textures on the skin and dress.\", \"reason_2\": \"The video appears softer and slightly blurry, lacking the crisp definition of Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Piano & Hands)\", \"reason_1\": \"The piano and hands remain structurally consistent throughout the clip.\", \"reason_2\": \"As the camera rotates, the piano keys and the subject's hands exhibit noticeable warping and morphing artifacts.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Dynamic Motion Realism\", \"reason_1\": \"The video is very static; the seagull's flight path is linear and stiff, lacking dynamic realism.\", \"reason_2\": \"The motion of the camera, the waves, and the wind in the hair feels more dynamic and physically plausible.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 1 offers superior image sharpness and stability, while Video 2 suffers from some morphing artifacts during the camera move.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Flow\", \"reason_1\": \"The composition is static and standard, lacking the cinematic flair requested by the prompt.\", \"reason_2\": \"The orbital shot creates a dynamic, cinematic feel that enhances the narrative of the scene.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Lighting (Golden Hour)\", \"reason_1\": \"Successfully captures the soft, golden light and pastel sky.\", \"reason_2\": \"Equally successful in rendering the sunset atmosphere and lighting conditions.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Visually pleasing due to high clarity, but feels like a moving photograph.\", \"reason_2\": \"More engaging to watch due to the movement, despite the lower technical fidelity.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the cinematic intent of the prompt through its camera work, creating a more engaging visual narrative.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully executes the specific and complex camera movement instruction ('camera begins to rotate around her'), which is central to the prompt's narrative. Video 1, while having higher static image fidelity, completely fails to perform the requested camera move, resulting in a static shot that ignores a key part of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Compliance (Rotation)", "reason_1": "Video 1 is essentially a static shot with no perceptible camera rotation, failing a core instruction of the prompt.", "reason_2": "Video 2 executes a clear orbital camera movement around the subject, revealing the background and dress details as requested.", "score_1": 1, "score_2": 9}, {"name": "Subject & Object Completeness", "reason_1": "Video 1 correctly includes the woman, the piano, the beach, and the seagull.", "reason_2": "Video 2 also correctly includes all primary subjects: woman, piano, beach, and seagulls.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Lace Dress & Hair)", "reason_1": "Video 1 renders the lace texture and hair flow with high detail and clarity.", "reason_2": "Video 2 includes the attributes, but the lace details are slightly less defined due to the motion blur and lower resolution.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 followed the critical camera movement instruction, whereas Video 1 ignored it entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high-resolution textures on the skin and dress.", "reason_2": "The video appears softer and slightly blurry, lacking the crisp definition of Video 1.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Piano & Hands)", "reason_1": "The piano and hands remain structurally consistent throughout the clip.", "reason_2": "As the camera rotates, the piano keys and the subject's hands exhibit noticeable warping and morphing artifacts.", "score_1": 7, "score_2": 3}, {"name": "Dynamic Motion Realism", "reason_1": "The video is very static; the seagull's flight path is linear and stiff, lacking dynamic realism.", "reason_2": "The motion of the camera, the waves, and the wind in the hair feels more dynamic and physically plausible.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 1 offers superior image sharpness and stability, while Video 2 suffers from some morphing artifacts during the camera move.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Flow", "reason_1": "The composition is static and standard, lacking the cinematic flair requested by the prompt.", "reason_2": "The orbital shot creates a dynamic, cinematic feel that enhances the narrative of the scene.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Lighting (Golden Hour)", "reason_1": "Successfully captures the soft, golden light and pastel sky.", "reason_2": "Equally successful in rendering the sunset atmosphere and lighting conditions.", "score_1": 5, "score_2": 5}, {"name": "Overall Visual Appeal", "reason_1": "Visually pleasing due to high clarity, but feels like a moving photograph.", "reason_2": "More engaging to watch due to the movement, despite the lower technical fidelity.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the cinematic intent of the prompt through its camera work, creating a more engaging visual narrative.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully executes the specific and complex camera movement instruction ('camera begins to rotate around her'), which is central to the prompt's narrative. Video 1, while having higher static image fidelity, completely fails to perform the requested camera move, resulting in a static shot that ignores a key part of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 42.0, "total_score_2": 48.0, "elapsed_sec": 52.564} +{"pair_id": "086_seed_930", "sample_index": 86, "seed": 930, "prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Compliance (Rotation)\", \"reason_1\": \"Video 1 is essentially a static shot with no perceptible camera rotation, failing a key instruction.\", \"reason_2\": \"Video 2 executes a clear orbital camera movement around the subject, revealing the piano and background as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Attribute Fidelity (Dress & Hair)\", \"reason_1\": \"Video 1 renders the 'intricate details of her white lace dress' with high precision and realistic texture.\", \"reason_2\": \"Video 2's dress lacks the requested intricate lace detail, appearing more generic and smooth.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Elements (Seagulls & Ocean)\", \"reason_1\": \"Video 1 features seagulls that are clearly defined and integrated into the scene's lighting.\", \"reason_2\": \"Video 2 includes seagulls, but they appear somewhat erratic and less integrated into the depth of the scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 strictly adheres to the complex camera movement instruction, whereas Video 1 ignores it. However, Video 1 is more accurate regarding the specific attributes of the subject's dress.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain perfectly consistent and recognizable throughout the clip.\", \"reason_2\": \"The subject's face morphs significantly as the camera angle changes, losing identity consistency.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Structural Integrity (Piano)\", \"reason_1\": \"The piano maintains a solid, realistic shape and perspective throughout.\", \"reason_2\": \"The piano warps and distorts noticeably during the camera rotation, particularly the lid and keys.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high-resolution textures on the sand and dress.\", \"reason_2\": \"The video has a softer, slightly blurry quality with less definition in the fine details.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 suffers from significant morphing and distortion of the subject and piano during the camera move.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Golden/Pastel)\", \"reason_1\": \"Video 1 perfectly captures the 'soft, golden light' and 'pastel hues' creating a cohesive mood.\", \"reason_2\": \"Video 2 has harsher contrast and less cohesive color grading, missing the 'whimsical' tone.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition is balanced, serene, and aesthetically pleasing.\", \"reason_2\": \"The visual appeal is diminished by the warping artifacts and lower resolution.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Flow (Graceful Performance)\", \"reason_1\": \"The subject's posture and the scene's stillness convey the requested 'graceful' and 'serene' narrative effectively.\", \"reason_2\": \"The morphing and camera shake detract from the sense of grace and serenity.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the 'enchanting' and 'whimsical' atmosphere with superior lighting and color grading, creating a much more beautiful image than Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, stability, and aesthetic beauty. While Video 2 attempts the requested camera rotation, it suffers from severe morphological instability (warping of the face and piano) and lower resolution. Video 1, despite being largely static and missing the rotation instruction, delivers a flawless, high-definition representation of the subject, dress details, and atmospheric lighting, making it the much more usable and visually pleasing generation.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Compliance (Rotation)", "reason_1": "Video 1 is essentially a static shot with no perceptible camera rotation, failing a key instruction.", "reason_2": "Video 2 executes a clear orbital camera movement around the subject, revealing the piano and background as requested.", "score_1": 1, "score_2": 9}, {"name": "Subject Attribute Fidelity (Dress & Hair)", "reason_1": "Video 1 renders the 'intricate details of her white lace dress' with high precision and realistic texture.", "reason_2": "Video 2's dress lacks the requested intricate lace detail, appearing more generic and smooth.", "score_1": 8, "score_2": 2}, {"name": "Environmental Elements (Seagulls & Ocean)", "reason_1": "Video 1 features seagulls that are clearly defined and integrated into the scene's lighting.", "reason_2": "Video 2 includes seagulls, but they appear somewhat erratic and less integrated into the depth of the scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 strictly adheres to the complex camera movement instruction, whereas Video 1 ignores it. However, Video 1 is more accurate regarding the specific attributes of the subject's dress.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain perfectly consistent and recognizable throughout the clip.", "reason_2": "The subject's face morphs significantly as the camera angle changes, losing identity consistency.", "score_1": 9, "score_2": 1}, {"name": "Object Structural Integrity (Piano)", "reason_1": "The piano maintains a solid, realistic shape and perspective throughout.", "reason_2": "The piano warps and distorts noticeably during the camera rotation, particularly the lid and keys.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high-resolution textures on the sand and dress.", "reason_2": "The video has a softer, slightly blurry quality with less definition in the fine details.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 suffers from significant morphing and distortion of the subject and piano during the camera move.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Golden/Pastel)", "reason_1": "Video 1 perfectly captures the 'soft, golden light' and 'pastel hues' creating a cohesive mood.", "reason_2": "Video 2 has harsher contrast and less cohesive color grading, missing the 'whimsical' tone.", "score_1": 9, "score_2": 1}, {"name": "Overall Visual Appeal", "reason_1": "The composition is balanced, serene, and aesthetically pleasing.", "reason_2": "The visual appeal is diminished by the warping artifacts and lower resolution.", "score_1": 8, "score_2": 2}, {"name": "Narrative Flow (Graceful Performance)", "reason_1": "The subject's posture and the scene's stillness convey the requested 'graceful' and 'serene' narrative effectively.", "reason_2": "The morphing and camera shake detract from the sense of grace and serenity.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the 'enchanting' and 'whimsical' atmosphere with superior lighting and color grading, creating a much more beautiful image than Video 2.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, stability, and aesthetic beauty. While Video 2 attempts the requested camera rotation, it suffers from severe morphological instability (warping of the face and piano) and lower resolution. Video 1, despite being largely static and missing the rotation instruction, delivers a flawless, high-definition representation of the subject, dress details, and atmospheric lighting, making it the much more usable and visually pleasing generation.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 64.0, "total_score_2": 26.0, "elapsed_sec": 53.755} +{"pair_id": "087_seed_42", "sample_index": 87, "seed": 42, "prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_42_A striking woman dressed head-to-toe in vibrant or.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_42_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_42_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_42_A striking woman dressed head-to-toe in vibrant or.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Expression & Emotional Tone\", \"reason_1\": \"The subject in Video 1 maintains a calm, serene expression that aligns perfectly with the prompt's request for a 'serene yet powerful' demeanor.\", \"reason_2\": \"The subject in Video 2 has a distorted, grimacing expression that looks unnatural and disturbing, completely failing to convey serenity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail & Flora Variety\", \"reason_1\": \"Video 1 clearly renders the 'array of colorful flora' with distinct red and yellow plants in the foreground, creating the requested contrast.\", \"reason_2\": \"Video 2's environment is muddier; while green, the specific colorful flora is less distinct and blends into the background noise.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Angle & Subject Presence\", \"reason_1\": \"Video 1 utilizes the low angle effectively to make the subject look 'striking' and 'powerful' against the towering trees.\", \"reason_2\": \"While Video 2 attempts a low angle, the subject's lack of definition and the awkward framing diminish the intended sense of presence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'serene yet powerful' expression and the specific environmental details requested. Video 2 fails significantly on the subject's expression, rendering a distorted face that contradicts the prompt's emotional requirements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"The subject's face remains anatomically correct and recognizable throughout the clip.\", \"reason_2\": \"The subject's face suffers from severe morphing and distortion, looking like a glitch rather than a human face.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Clothing Texture & Physics Stability\", \"reason_1\": \"The orange dress flows naturally and maintains a consistent texture and shape.\", \"reason_2\": \"The clothing in Video 2 appears to merge with the subject's skin and exhibits unnatural shifting artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Image Clarity & Sharpness\", \"reason_1\": \"The video is sharp, with clear definition between the subject and the background.\", \"reason_2\": \"The image is softer and suffers from generation noise, particularly around the subject's features.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe artifacts, particularly facial hallucinations and texture morphing on the clothing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The vibrant orange pops beautifully against the lush greens, creating the 'dramatic contrast' requested.\", \"reason_2\": \"The colors are somewhat washed out and the contrast is less effective due to the muddy rendering of the environment.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Mood (Enchanting vs. Uncanny)\", \"reason_1\": \"Successfully establishes an enchanting, peaceful atmosphere.\", \"reason_2\": \"The facial distortion creates an 'uncanny valley' effect that is unsettling rather than enchanting.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Compositional Balance\", \"reason_1\": \"The subject is well-centered and framed by the trees, leading the eye naturally.\", \"reason_2\": \"The composition is acceptable, but the subject feels slightly disconnected from the background due to lighting mismatches.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a cohesive, pleasing image that matches the 'enchanting' mood. Video 2's aesthetic is ruined by the uncanny valley effect of the distorted subject.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior anatomical consistency, visual fidelity, and accurate capture of the requested emotional tone. While both videos attempt the correct setting and color palette, Video 2 suffers from severe facial distortion and morphing artifacts that destroy the 'serene' expression required by the prompt. Video 1 maintains a stable, striking subject with high-quality rendering of the flora and lighting.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Expression & Emotional Tone", "reason_1": "The subject in Video 1 maintains a calm, serene expression that aligns perfectly with the prompt's request for a 'serene yet powerful' demeanor.", "reason_2": "The subject in Video 2 has a distorted, grimacing expression that looks unnatural and disturbing, completely failing to convey serenity.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail & Flora Variety", "reason_1": "Video 1 clearly renders the 'array of colorful flora' with distinct red and yellow plants in the foreground, creating the requested contrast.", "reason_2": "Video 2's environment is muddier; while green, the specific colorful flora is less distinct and blends into the background noise.", "score_1": 7, "score_2": 3}, {"name": "Camera Angle & Subject Presence", "reason_1": "Video 1 utilizes the low angle effectively to make the subject look 'striking' and 'powerful' against the towering trees.", "reason_2": "While Video 2 attempts a low angle, the subject's lack of definition and the awkward framing diminish the intended sense of presence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'serene yet powerful' expression and the specific environmental details requested. Video 2 fails significantly on the subject's expression, rendering a distorted face that contradicts the prompt's emotional requirements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "The subject's face remains anatomically correct and recognizable throughout the clip.", "reason_2": "The subject's face suffers from severe morphing and distortion, looking like a glitch rather than a human face.", "score_1": 9, "score_2": 1}, {"name": "Clothing Texture & Physics Stability", "reason_1": "The orange dress flows naturally and maintains a consistent texture and shape.", "reason_2": "The clothing in Video 2 appears to merge with the subject's skin and exhibits unnatural shifting artifacts.", "score_1": 8, "score_2": 2}, {"name": "Overall Image Clarity & Sharpness", "reason_1": "The video is sharp, with clear definition between the subject and the background.", "reason_2": "The image is softer and suffers from generation noise, particularly around the subject's features.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe artifacts, particularly facial hallucinations and texture morphing on the clothing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Contrast", "reason_1": "The vibrant orange pops beautifully against the lush greens, creating the 'dramatic contrast' requested.", "reason_2": "The colors are somewhat washed out and the contrast is less effective due to the muddy rendering of the environment.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Mood (Enchanting vs. Uncanny)", "reason_1": "Successfully establishes an enchanting, peaceful atmosphere.", "reason_2": "The facial distortion creates an 'uncanny valley' effect that is unsettling rather than enchanting.", "score_1": 9, "score_2": 1}, {"name": "Compositional Balance", "reason_1": "The subject is well-centered and framed by the trees, leading the eye naturally.", "reason_2": "The composition is acceptable, but the subject feels slightly disconnected from the background due to lighting mismatches.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a cohesive, pleasing image that matches the 'enchanting' mood. Video 2's aesthetic is ruined by the uncanny valley effect of the distorted subject.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior anatomical consistency, visual fidelity, and accurate capture of the requested emotional tone. While both videos attempt the correct setting and color palette, Video 2 suffers from severe facial distortion and morphing artifacts that destroy the 'serene' expression required by the prompt. Video 1 maintains a stable, striking subject with high-quality rendering of the flora and lighting.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 57.29} +{"pair_id": "087_seed_310", "sample_index": 87, "seed": 310, "prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_310_A striking woman dressed head-to-toe in vibrant or.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_310_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_310_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_310_A striking woman dressed head-to-toe in vibrant or.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Expression & Emotional Tone\", \"reason_1\": \"Video 1 perfectly captures the 'serene yet powerful' expression requested, with a calm and dignified demeanor.\", \"reason_2\": \"Video 2 fails completely; the subject's face is heavily distorted and morphing, creating a disturbing rather than serene atmosphere.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attire Color & Coverage\", \"reason_1\": \"Video 1 features a full-length dress that covers the subject from neck to ankle, aligning well with the 'head-to-toe' description.\", \"reason_2\": \"Video 2 depicts a two-piece outfit with a bare midriff. While the color is correct, the lack of coverage contradicts the 'head-to-toe' implication.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Rainforest & Flora)\", \"reason_1\": \"Video 1 depicts a lush, dense rainforest with appropriate flora and lighting.\", \"reason_2\": \"Video 2 also generates a convincing rainforest environment with tall trees and colorful plants, matching the prompt well.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 accurately captures the specific emotional tone and attire coverage requested, whereas Video 2 fails to render the requested expression and provides a less accurate outfit style.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The subject's face remains consistent, recognizable, and anatomically correct throughout the clip.\", \"reason_2\": \"The subject's face suffers from severe 'melting' and distortion artifacts, losing all structural integrity as the video progresses.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity (Body Structure)\", \"reason_1\": \"The body proportions and posture remain natural and realistic.\", \"reason_2\": \"The subject's torso and midriff area exhibit unnatural warping and shifting textures during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined textures on the dress and foliage.\", \"reason_2\": \"The video appears softer and suffers from generation noise, particularly around the subject's features.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a stable, high-quality image, while Video 2 exhibits severe hallucinations and morphological breakdown of the subject.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Angle & Composition\", \"reason_1\": \"Effectively uses the low angle to make the subject look powerful against the towering trees.\", \"reason_2\": \"Also utilizes a strong low angle that emphasizes the height of the trees and the subject's presence.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Atmospheric Harmony & Mood\", \"reason_1\": \"Successfully creates the 'enchanting atmosphere' and 'harmony' described in the prompt.\", \"reason_2\": \"The mood is ruined by the uncanny valley effect of the distorted face, breaking any sense of harmony.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Contrast & Vibrancy\", \"reason_1\": \"The vibrant orange contrasts beautifully and cleanly against the deep greens of the forest.\", \"reason_2\": \"While the colors are present, the contrast is less effective due to the muddy textures and lack of definition in the subject.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 delivers a cohesive and aesthetically pleasing shot that matches the 'mesmerizing' description. Video 2's aesthetic value is negated by the visual glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior stability and semantic accuracy. It successfully renders a 'serene yet powerful' expression and a stable human form, whereas Video 2 suffers from catastrophic facial distortion and morphological instability that destroys the intended mood. Video 1 also adheres better to the 'head-to-toe' attire description.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Expression & Emotional Tone", "reason_1": "Video 1 perfectly captures the 'serene yet powerful' expression requested, with a calm and dignified demeanor.", "reason_2": "Video 2 fails completely; the subject's face is heavily distorted and morphing, creating a disturbing rather than serene atmosphere.", "score_1": 9, "score_2": 1}, {"name": "Attire Color & Coverage", "reason_1": "Video 1 features a full-length dress that covers the subject from neck to ankle, aligning well with the 'head-to-toe' description.", "reason_2": "Video 2 depicts a two-piece outfit with a bare midriff. While the color is correct, the lack of coverage contradicts the 'head-to-toe' implication.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Rainforest & Flora)", "reason_1": "Video 1 depicts a lush, dense rainforest with appropriate flora and lighting.", "reason_2": "Video 2 also generates a convincing rainforest environment with tall trees and colorful plants, matching the prompt well.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 accurately captures the specific emotional tone and attire coverage requested, whereas Video 2 fails to render the requested expression and provides a less accurate outfit style.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The subject's face remains consistent, recognizable, and anatomically correct throughout the clip.", "reason_2": "The subject's face suffers from severe 'melting' and distortion artifacts, losing all structural integrity as the video progresses.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity (Body Structure)", "reason_1": "The body proportions and posture remain natural and realistic.", "reason_2": "The subject's torso and midriff area exhibit unnatural warping and shifting textures during movement.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined textures on the dress and foliage.", "reason_2": "The video appears softer and suffers from generation noise, particularly around the subject's features.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains a stable, high-quality image, while Video 2 exhibits severe hallucinations and morphological breakdown of the subject.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Angle & Composition", "reason_1": "Effectively uses the low angle to make the subject look powerful against the towering trees.", "reason_2": "Also utilizes a strong low angle that emphasizes the height of the trees and the subject's presence.", "score_1": 5, "score_2": 5}, {"name": "Atmospheric Harmony & Mood", "reason_1": "Successfully creates the 'enchanting atmosphere' and 'harmony' described in the prompt.", "reason_2": "The mood is ruined by the uncanny valley effect of the distorted face, breaking any sense of harmony.", "score_1": 8, "score_2": 2}, {"name": "Color Contrast & Vibrancy", "reason_1": "The vibrant orange contrasts beautifully and cleanly against the deep greens of the forest.", "reason_2": "While the colors are present, the contrast is less effective due to the muddy textures and lack of definition in the subject.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 delivers a cohesive and aesthetically pleasing shot that matches the 'mesmerizing' description. Video 2's aesthetic value is negated by the visual glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior stability and semantic accuracy. It successfully renders a 'serene yet powerful' expression and a stable human form, whereas Video 2 suffers from catastrophic facial distortion and morphological instability that destroys the intended mood. Video 1 also adheres better to the 'head-to-toe' attire description.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 58.832} +{"pair_id": "087_seed_930", "sample_index": 87, "seed": 930, "prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Expression & Emotional Tone\", \"reason_1\": \"The subject maintains a stoic, serene, and powerful gaze throughout the clip, perfectly matching the prompt's emotional requirement.\", \"reason_2\": \"The subject's expression is inconsistent; she smiles and looks around casually, which contradicts the 'serene yet powerful' instruction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Flora & Contrast)\", \"reason_1\": \"Video 1 explicitly includes the 'bright blossoms' and 'colorful flora' in the foreground, creating the requested contrast with the orange attire.\", \"reason_2\": \"Video 2 depicts a generic green forest background without the specific 'array of colorful flora' or distinct blossoms mentioned in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Angle & Subject Presence\", \"reason_1\": \"The low angle is used effectively to make the subject look imposing and 'striking' against the towering trees.\", \"reason_2\": \"While the angle is low, the subject's casual movement diminishes the sense of 'presence' and power requested.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 adheres strictly to the descriptive elements of the prompt, particularly the 'serene yet powerful' expression and the inclusion of specific colorful flora, whereas Video 2 deviates in expression and environmental detail.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent and recognizable throughout the entire duration.\", \"reason_2\": \"The subject's face morphs significantly; the facial structure and features change drastically as she moves, breaking the illusion of a single identity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body & Cloth)\", \"reason_1\": \"The body and clothing maintain a solid, logical form with minimal warping.\", \"reason_2\": \"The clothing and body shape exhibit unnatural shifting and warping during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is sharp, with well-defined textures on the skin and fabric.\", \"reason_2\": \"The video appears softer and suffers from generation artifacts, particularly around the face and background edges.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior technical stability. Video 2 fails significantly in this category due to severe facial morphing and identity loss during movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Enchanting/Dramatic)\", \"reason_1\": \"The lighting and static pose create a dramatic, almost mystical atmosphere that fits the 'enchanting' description.\", \"reason_2\": \"The mood feels casual and lacks the dramatic weight or enchanting quality requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The vibrant orange pops beautifully against the deep greens and the specific red/yellow flowers, achieving the requested 'harmony and contrast'.\", \"reason_2\": \"The colors are flatter, and the orange does not stand out as dramatically against the washed-out background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Compositional Balance\", \"reason_1\": \"The framing places the subject centrally with framing elements (flowers) that guide the eye effectively.\", \"reason_2\": \"The composition is looser and less intentional, with the subject drifting in the frame.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully creates the 'mesmerizing scene of harmony and contrast' described in the prompt through better color grading and composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior stability, visual fidelity, and closer adherence to the specific atmospheric and emotional requirements of the prompt. While Video 2 attempts more complex motion, it suffers from significant facial morphing and identity loss, which breaks the realism. Video 1 maintains a consistent, striking subject with the requested 'serene yet powerful' expression and delivers a high-contrast, aesthetically pleasing composition that perfectly matches the 'mesmerizing' mood described.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Expression & Emotional Tone", "reason_1": "The subject maintains a stoic, serene, and powerful gaze throughout the clip, perfectly matching the prompt's emotional requirement.", "reason_2": "The subject's expression is inconsistent; she smiles and looks around casually, which contradicts the 'serene yet powerful' instruction.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Flora & Contrast)", "reason_1": "Video 1 explicitly includes the 'bright blossoms' and 'colorful flora' in the foreground, creating the requested contrast with the orange attire.", "reason_2": "Video 2 depicts a generic green forest background without the specific 'array of colorful flora' or distinct blossoms mentioned in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Camera Angle & Subject Presence", "reason_1": "The low angle is used effectively to make the subject look imposing and 'striking' against the towering trees.", "reason_2": "While the angle is low, the subject's casual movement diminishes the sense of 'presence' and power requested.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 adheres strictly to the descriptive elements of the prompt, particularly the 'serene yet powerful' expression and the inclusion of specific colorful flora, whereas Video 2 deviates in expression and environmental detail.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent and recognizable throughout the entire duration.", "reason_2": "The subject's face morphs significantly; the facial structure and features change drastically as she moves, breaking the illusion of a single identity.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body & Cloth)", "reason_1": "The body and clothing maintain a solid, logical form with minimal warping.", "reason_2": "The clothing and body shape exhibit unnatural shifting and warping during movement.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is sharp, with well-defined textures on the skin and fabric.", "reason_2": "The video appears softer and suffers from generation artifacts, particularly around the face and background edges.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior technical stability. Video 2 fails significantly in this category due to severe facial morphing and identity loss during movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Enchanting/Dramatic)", "reason_1": "The lighting and static pose create a dramatic, almost mystical atmosphere that fits the 'enchanting' description.", "reason_2": "The mood feels casual and lacks the dramatic weight or enchanting quality requested.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Contrast", "reason_1": "The vibrant orange pops beautifully against the deep greens and the specific red/yellow flowers, achieving the requested 'harmony and contrast'.", "reason_2": "The colors are flatter, and the orange does not stand out as dramatically against the washed-out background.", "score_1": 7, "score_2": 3}, {"name": "Compositional Balance", "reason_1": "The framing places the subject centrally with framing elements (flowers) that guide the eye effectively.", "reason_2": "The composition is looser and less intentional, with the subject drifting in the frame.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully creates the 'mesmerizing scene of harmony and contrast' described in the prompt through better color grading and composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior stability, visual fidelity, and closer adherence to the specific atmospheric and emotional requirements of the prompt. While Video 2 attempts more complex motion, it suffers from significant facial morphing and identity loss, which breaks the realism. Video 1 maintains a consistent, striking subject with the requested 'serene yet powerful' expression and delivers a high-contrast, aesthetically pleasing composition that perfectly matches the 'mesmerizing' mood described.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 58.427} +{"pair_id": "088_seed_42", "sample_index": 88, "seed": 42, "prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Surreal Transformation (Seeds to Islands)\", \"reason_1\": \"Video 1 attempts to interpret the 'shimmering structures' and 'abstract world' by adding glowing, jewel-like elements to the seeds, though it fails to fully transform them into islands.\", \"reason_2\": \"Video 2 completely ignores the instruction to transform the seeds into floating islands, remaining a standard, realistic dandelion throughout.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 has a darker, greenish-yellow tone that lacks the 'gentle, golden glow' requested.\", \"reason_2\": \"Video 2 perfectly captures the 'gentle, golden glow' and 'dreamlike atmosphere' with a warm, cohesive color palette.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Particle Dynamics (Drifting Gracefully)\", \"reason_1\": \"Video 1 features static glowing points that do not drift or dance.\", \"reason_2\": \"Video 2 features distinct, tiny luminescent particles that drift gracefully in the air, matching the prompt's description of a 'mesmerizing dance'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Hyperspeed Zoom)\", \"reason_1\": \"Video 1 has a slight zoom but lacks the 'hyperspeed' intensity.\", \"reason_2\": \"Video 2 has a slow, gentle push-in, also failing the 'hyperspeed' requirement, resulting in a tie for this specific failure.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"While Video 1 attempts the surreal elements, Video 2 captures the atmospheric and particle descriptions far more accurately, despite missing the transformation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is soft, lacking definition in the seed filaments, and appears somewhat low-resolution.\", \"reason_2\": \"The video is crisp, with high-definition rendering of the dandelion seeds and fine details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The glowing elements on the seeds flicker and shift shape unnaturally (temporal noise).\", \"reason_2\": \"The subject maintains perfect structural integrity throughout the clip.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Consistency\", \"reason_1\": \"The lighting feels artificial and the glowing spots lack realistic interaction with the environment.\", \"reason_2\": \"The lighting is consistent, volumetric, and interacts naturally with the floating particles.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior in every aspect, offering a sharp, stable, and clean image compared to the noisy and unstable Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual style is somewhat muddy and the glowing artifacts detract from the beauty of the subject.\", \"reason_2\": \"The video is aesthetically pleasing, resembling high-quality macro nature cinematography.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Mood & Atmosphere (Tranquility)\", \"reason_1\": \"The flickering lights create a slightly chaotic or glitchy feel rather than a tranquil one.\", \"reason_2\": \"The slow motion and warm light successfully evoke the requested sense of 'tranquility' and 'wonder'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable but feels a bit tight and claustrophobic.\", \"reason_2\": \"The composition is balanced, with the dandelion centered and the background providing nice depth.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 presents a beautiful, professional-looking macro shot that evokes the requested mood, whereas Video 1 feels like a lower-quality generation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Both videos fail to execute the complex 'hyperspeed zoom' and the specific 'transformation into floating islands' described in the prompt. However, Video 2 is the clear winner due to its superior visual fidelity, stability, and successful capture of the atmospheric requirements. Video 2 renders a high-quality, photorealistic dandelion with the requested 'gentle golden glow' and 'drifting particles,' creating a cohesive dreamlike mood. Video 1 attempts to add surreal glowing elements but suffers from low resolution, temporal flickering, and a lack of the requested 'drifting' particle dynamics.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Surreal Transformation (Seeds to Islands)", "reason_1": "Video 1 attempts to interpret the 'shimmering structures' and 'abstract world' by adding glowing, jewel-like elements to the seeds, though it fails to fully transform them into islands.", "reason_2": "Video 2 completely ignores the instruction to transform the seeds into floating islands, remaining a standard, realistic dandelion throughout.", "score_1": 6, "score_2": 4}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 has a darker, greenish-yellow tone that lacks the 'gentle, golden glow' requested.", "reason_2": "Video 2 perfectly captures the 'gentle, golden glow' and 'dreamlike atmosphere' with a warm, cohesive color palette.", "score_1": 3, "score_2": 7}, {"name": "Particle Dynamics (Drifting Gracefully)", "reason_1": "Video 1 features static glowing points that do not drift or dance.", "reason_2": "Video 2 features distinct, tiny luminescent particles that drift gracefully in the air, matching the prompt's description of a 'mesmerizing dance'.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Hyperspeed Zoom)", "reason_1": "Video 1 has a slight zoom but lacks the 'hyperspeed' intensity.", "reason_2": "Video 2 has a slow, gentle push-in, also failing the 'hyperspeed' requirement, resulting in a tie for this specific failure.", "score_1": 5, "score_2": 5}], "cat_reason": "While Video 1 attempts the surreal elements, Video 2 captures the atmospheric and particle descriptions far more accurately, despite missing the transformation.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is soft, lacking definition in the seed filaments, and appears somewhat low-resolution.", "reason_2": "The video is crisp, with high-definition rendering of the dandelion seeds and fine details.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "The glowing elements on the seeds flicker and shift shape unnaturally (temporal noise).", "reason_2": "The subject maintains perfect structural integrity throughout the clip.", "score_1": 3, "score_2": 7}, {"name": "Lighting Consistency", "reason_1": "The lighting feels artificial and the glowing spots lack realistic interaction with the environment.", "reason_2": "The lighting is consistent, volumetric, and interacts naturally with the floating particles.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior in every aspect, offering a sharp, stable, and clean image compared to the noisy and unstable Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The visual style is somewhat muddy and the glowing artifacts detract from the beauty of the subject.", "reason_2": "The video is aesthetically pleasing, resembling high-quality macro nature cinematography.", "score_1": 3, "score_2": 7}, {"name": "Mood & Atmosphere (Tranquility)", "reason_1": "The flickering lights create a slightly chaotic or glitchy feel rather than a tranquil one.", "reason_2": "The slow motion and warm light successfully evoke the requested sense of 'tranquility' and 'wonder'.", "score_1": 4, "score_2": 6}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable but feels a bit tight and claustrophobic.", "reason_2": "The composition is balanced, with the dandelion centered and the background providing nice depth.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 presents a beautiful, professional-looking macro shot that evokes the requested mood, whereas Video 1 feels like a lower-quality generation.", "cat_winner": "Video 2"}], "reason": "Both videos fail to execute the complex 'hyperspeed zoom' and the specific 'transformation into floating islands' described in the prompt. However, Video 2 is the clear winner due to its superior visual fidelity, stability, and successful capture of the atmospheric requirements. Video 2 renders a high-quality, photorealistic dandelion with the requested 'gentle golden glow' and 'drifting particles,' creating a cohesive dreamlike mood. Video 1 attempts to add surreal glowing elements but suffers from low resolution, temporal flickering, and a lack of the requested 'drifting' particle dynamics.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 36.0, "total_score_2": 64.0, "elapsed_sec": 64.155} +{"pair_id": "088_seed_310", "sample_index": 88, "seed": 310, "prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_310_The camera zooms into a dandelion at hyperspeed re.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_310_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_310_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_310_The camera zooms into a dandelion at hyperspeed re.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric & Color Fidelity\", \"reason_1\": \"Video 1 presents a standard naturalistic green and white palette, completely missing the 'golden glow' and 'dreamlike atmosphere' requested.\", \"reason_2\": \"Video 2 perfectly renders the 'gentle, golden glow' and 'ethereal' atmosphere, creating the exact mood described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Surreal Element Generation\", \"reason_1\": \"Video 1 contains no surreal elements; it is a literal, realistic depiction of a dandelion with no 'floating islands' or 'shimmering structures'.\", \"reason_2\": \"Video 2 generates 'shimmering, translucent structures' and 'luminescent particles' that align well with the abstract and surreal nature of the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Adherence (Hyperspeed Zoom)\", \"reason_1\": \"Video 1 fails to execute the 'hyperspeed zoom', offering only a slight, slow camera drift.\", \"reason_2\": \"Video 2 also fails the 'hyperspeed zoom' instruction, presenting a mostly static shot with internal motion rather than a camera movement.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the specific atmospheric and stylistic requirements (golden glow, ethereal, shimmering structures), whereas Video 1 ignores the fantasy elements entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is somewhat soft and lacks the crisp definition expected of a high-quality generation.\", \"reason_2\": \"Video 2 maintains high clarity and sharpness, particularly in the rendering of the light particles and seed textures.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Particle & Light Dynamics\", \"reason_1\": \"Video 1 lacks dynamic lighting or particle effects, resulting in a flat visual experience.\", \"reason_2\": \"Video 2 excels in rendering the 'mesmerizing dance of light and shadow' with smooth, high-quality particle effects.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 is stable but the motion is minimal, making it easier to maintain stability.\", \"reason_2\": \"Video 2 maintains stability despite the complex lighting and particle effects, with no significant flickering or morphing artifacts.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior visual fidelity, sharpness, and dynamic lighting effects compared to the softer, flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Aesthetic Style (Ethereal/Dreamlike)\", \"reason_1\": \"Video 1 has a documentary-style aesthetic that contradicts the 'abstract world' and 'surreal landscape' description.\", \"reason_2\": \"Video 2 successfully establishes a 'dreamlike' and 'magical' aesthetic that fits the narrative intent of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact (Wonder & Tranquility)\", \"reason_1\": \"Video 1 evokes no specific emotion beyond a neutral observation of nature.\", \"reason_2\": \"Video 2 effectively conveys a sense of 'wonder and tranquility' through its warm color palette and graceful motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a standard macro framing that feels slightly cluttered.\", \"reason_2\": \"Video 2 uses a centered, balanced composition that highlights the 'inner world' of the dandelion effectively.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 creates a compelling, magical aesthetic that evokes the requested emotions of wonder and tranquility, while Video 1 lacks artistic interpretation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully captures the 'ethereal,' 'golden glow,' and 'surreal' aesthetic described in the prompt. While both videos fail to execute the specific 'hyperspeed zoom' and 'transformation into floating islands' narrative, Video 2 provides the correct atmospheric lighting, particle effects, and dreamlike mood. Video 1 is a generic, realistic macro shot that completely ignores the fantasy and abstract elements required by the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric & Color Fidelity", "reason_1": "Video 1 presents a standard naturalistic green and white palette, completely missing the 'golden glow' and 'dreamlike atmosphere' requested.", "reason_2": "Video 2 perfectly renders the 'gentle, golden glow' and 'ethereal' atmosphere, creating the exact mood described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Surreal Element Generation", "reason_1": "Video 1 contains no surreal elements; it is a literal, realistic depiction of a dandelion with no 'floating islands' or 'shimmering structures'.", "reason_2": "Video 2 generates 'shimmering, translucent structures' and 'luminescent particles' that align well with the abstract and surreal nature of the prompt.", "score_1": 1, "score_2": 9}, {"name": "Action Adherence (Hyperspeed Zoom)", "reason_1": "Video 1 fails to execute the 'hyperspeed zoom', offering only a slight, slow camera drift.", "reason_2": "Video 2 also fails the 'hyperspeed zoom' instruction, presenting a mostly static shot with internal motion rather than a camera movement.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the specific atmospheric and stylistic requirements (golden glow, ethereal, shimmering structures), whereas Video 1 ignores the fantasy elements entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is somewhat soft and lacks the crisp definition expected of a high-quality generation.", "reason_2": "Video 2 maintains high clarity and sharpness, particularly in the rendering of the light particles and seed textures.", "score_1": 3, "score_2": 7}, {"name": "Particle & Light Dynamics", "reason_1": "Video 1 lacks dynamic lighting or particle effects, resulting in a flat visual experience.", "reason_2": "Video 2 excels in rendering the 'mesmerizing dance of light and shadow' with smooth, high-quality particle effects.", "score_1": 2, "score_2": 8}, {"name": "Temporal Stability", "reason_1": "Video 1 is stable but the motion is minimal, making it easier to maintain stability.", "reason_2": "Video 2 maintains stability despite the complex lighting and particle effects, with no significant flickering or morphing artifacts.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior visual fidelity, sharpness, and dynamic lighting effects compared to the softer, flatter look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Aesthetic Style (Ethereal/Dreamlike)", "reason_1": "Video 1 has a documentary-style aesthetic that contradicts the 'abstract world' and 'surreal landscape' description.", "reason_2": "Video 2 successfully establishes a 'dreamlike' and 'magical' aesthetic that fits the narrative intent of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact (Wonder & Tranquility)", "reason_1": "Video 1 evokes no specific emotion beyond a neutral observation of nature.", "reason_2": "Video 2 effectively conveys a sense of 'wonder and tranquility' through its warm color palette and graceful motion.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a standard macro framing that feels slightly cluttered.", "reason_2": "Video 2 uses a centered, balanced composition that highlights the 'inner world' of the dandelion effectively.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 creates a compelling, magical aesthetic that evokes the requested emotions of wonder and tranquility, while Video 1 lacks artistic interpretation.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully captures the 'ethereal,' 'golden glow,' and 'surreal' aesthetic described in the prompt. While both videos fail to execute the specific 'hyperspeed zoom' and 'transformation into floating islands' narrative, Video 2 provides the correct atmospheric lighting, particle effects, and dreamlike mood. Video 1 is a generic, realistic macro shot that completely ignores the fantasy and abstract elements required by the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 60.433} +{"pair_id": "088_seed_930", "sample_index": 88, "seed": 930, "prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Surreal Transformation (Seeds to Islands)\", \"reason_1\": \"Video 1 failed to generate the requested transformation into floating islands or abstract structures, remaining a realistic dandelion.\", \"reason_2\": \"Video 2 also failed to generate the surreal transformation, sticking to a realistic representation of the flower.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 features standard daylight lighting, missing the specific 'gentle, golden glow' requested.\", \"reason_2\": \"Video 2 successfully captures the 'golden glow' and warm color palette described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Intricacy & Detail\", \"reason_1\": \"Video 1 renders the 'delicate seeds' with high precision and intricate detail, aligning with the prompt's focus on the subject's complexity.\", \"reason_2\": \"Video 2 lacks detail; the seeds appear blurry and undefined, failing to capture the 'intricate details' requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement (Hyperspeed Zoom)\", \"reason_1\": \"Video 1 has a slow, subtle push, failing the 'hyperspeed' instruction.\", \"reason_2\": \"Video 2 has a slight drift, also failing the 'hyperspeed' instruction.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"While both models completely ignored the surreal transformation instructions, Video 1 provided a much more accurate and detailed representation of the initial subject (the dandelion) compared to the blurry output of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is crisp, clear, and high-resolution, maintaining excellent focus on the subject.\", \"reason_2\": \"The video is soft, blurry, and lacks definition, appearing like a low-quality upscale.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Realism (Seed Filaments)\", \"reason_1\": \"The fine filaments of the dandelion seeds are rendered with photorealistic texture.\", \"reason_2\": \"The textures are muddy and indistinct, lacking the physical plausibility of real plant matter.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability\", \"reason_1\": \"The subject remains solid and consistent throughout the clip.\", \"reason_2\": \"The subject exhibits slight shimmering and lack of structural consistency due to the low resolution.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade visual quality with sharp focus and realistic textures, whereas Video 2 suffers from significant blurriness and lack of definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The image is aesthetically pleasing, resembling high-quality nature photography.\", \"reason_2\": \"The visual appeal is low due to the blurriness and lack of contrast.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Mood & Atmosphere\", \"reason_1\": \"The mood is neutral and realistic, missing the 'dreamlike' quality.\", \"reason_2\": \"The warm lighting creates a mood that is closer to the 'dreamlike' and 'tranquil' atmosphere requested, despite the poor quality.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is well-centered and framed effectively.\", \"reason_2\": \"The framing is acceptable but the lack of depth of field makes the composition feel flat.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 presents a visually pleasing, professional macro shot. Video 2 attempts the correct mood but fails in execution due to poor image quality.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Both videos failed significantly to execute the complex narrative instructions (hyperspeed zoom, transformation into floating islands, abstract world). However, Video 1 is the clear winner based on superior visual fidelity. It presents a sharp, photorealistic, and highly detailed macro shot of a dandelion, whereas Video 2 is blurry, lacks texture definition, and suffers from lower resolution.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Surreal Transformation (Seeds to Islands)", "reason_1": "Video 1 failed to generate the requested transformation into floating islands or abstract structures, remaining a realistic dandelion.", "reason_2": "Video 2 also failed to generate the surreal transformation, sticking to a realistic representation of the flower.", "score_1": 5, "score_2": 5}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 features standard daylight lighting, missing the specific 'gentle, golden glow' requested.", "reason_2": "Video 2 successfully captures the 'golden glow' and warm color palette described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Subject Intricacy & Detail", "reason_1": "Video 1 renders the 'delicate seeds' with high precision and intricate detail, aligning with the prompt's focus on the subject's complexity.", "reason_2": "Video 2 lacks detail; the seeds appear blurry and undefined, failing to capture the 'intricate details' requested.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement (Hyperspeed Zoom)", "reason_1": "Video 1 has a slow, subtle push, failing the 'hyperspeed' instruction.", "reason_2": "Video 2 has a slight drift, also failing the 'hyperspeed' instruction.", "score_1": 5, "score_2": 5}], "cat_reason": "While both models completely ignored the surreal transformation instructions, Video 1 provided a much more accurate and detailed representation of the initial subject (the dandelion) compared to the blurry output of Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is crisp, clear, and high-resolution, maintaining excellent focus on the subject.", "reason_2": "The video is soft, blurry, and lacks definition, appearing like a low-quality upscale.", "score_1": 9, "score_2": 1}, {"name": "Texture Realism (Seed Filaments)", "reason_1": "The fine filaments of the dandelion seeds are rendered with photorealistic texture.", "reason_2": "The textures are muddy and indistinct, lacking the physical plausibility of real plant matter.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability", "reason_1": "The subject remains solid and consistent throughout the clip.", "reason_2": "The subject exhibits slight shimmering and lack of structural consistency due to the low resolution.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade visual quality with sharp focus and realistic textures, whereas Video 2 suffers from significant blurriness and lack of definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The image is aesthetically pleasing, resembling high-quality nature photography.", "reason_2": "The visual appeal is low due to the blurriness and lack of contrast.", "score_1": 8, "score_2": 2}, {"name": "Mood & Atmosphere", "reason_1": "The mood is neutral and realistic, missing the 'dreamlike' quality.", "reason_2": "The warm lighting creates a mood that is closer to the 'dreamlike' and 'tranquil' atmosphere requested, despite the poor quality.", "score_1": 4, "score_2": 6}, {"name": "Composition & Framing", "reason_1": "The subject is well-centered and framed effectively.", "reason_2": "The framing is acceptable but the lack of depth of field makes the composition feel flat.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 presents a visually pleasing, professional macro shot. Video 2 attempts the correct mood but fails in execution due to poor image quality.", "cat_winner": "Video 1"}], "reason": "Both videos failed significantly to execute the complex narrative instructions (hyperspeed zoom, transformation into floating islands, abstract world). However, Video 1 is the clear winner based on superior visual fidelity. It presents a sharp, photorealistic, and highly detailed macro shot of a dandelion, whereas Video 2 is blurry, lacks texture definition, and suffers from lower resolution.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 34.0, "elapsed_sec": 59.566} +{"pair_id": "089_seed_42", "sample_index": 89, "seed": 42, "prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Manifestation (Vines & Tendrils)\", \"reason_1\": \"Video 1 fails to generate distinct vines; the imagery is a morphing, abstract texture that resembles melting wax rather than plant life.\", \"reason_2\": \"Video 2 clearly renders distinct vines and tendrils that twist and curl, aligning perfectly with the prompt's description of a 'chaotic dance'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Tunnel to Labyrinth)\", \"reason_1\": \"The environment in Video 1 is ambiguous and lacks the structural definition of a tunnel or labyrinth, appearing more like a fluid simulation.\", \"reason_2\": \"Video 2 establishes a clear tunnel-like structure with depth, creating the sense of a 'labyrinth' that the camera is navigating through.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Fidelity (Color Contrast)\", \"reason_1\": \"Video 1 has a muddy color palette where the greens blend indistinctly with the browns.\", \"reason_2\": \"Video 2 successfully executes the requested 'vibrant green' contrasting starkly against 'dark, earthy tones', creating a visually distinct look.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the specific subjects (vines, tendrils) and the environment (tunnel/labyrinth) requested. Video 1 fails to render recognizable vines, presenting instead abstract, melting textures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Texture Consistency)\", \"reason_1\": \"The textures in Video 1 are highly unstable, constantly morphing and melting in a way that defies physical logic.\", \"reason_2\": \"Video 2 maintains the shape and form of the vines and walls reasonably well, despite the fast motion, avoiding the 'melting' effect seen in Video 1.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Definition\", \"reason_1\": \"The image is blurry and lacks definition, making it difficult to discern specific details.\", \"reason_2\": \"Video 2 is sharper, allowing the viewer to see the individual strands of the vines and the texture of the walls.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion feels like a warping distortion rather than forward movement through space.\", \"reason_2\": \"The motion in Video 2 feels like a camera physically moving through a 3D space, providing a more realistic sense of speed and depth.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains significantly better structural integrity and visual clarity. Video 1 suffers from severe morphological instability, where objects lose their form and melt into the background.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Thrilling/Unsettling)\", \"reason_1\": \"The atmosphere is confusing rather than thrilling; the lack of recognizable forms reduces the impact.\", \"reason_2\": \"The combination of the dark tunnel and the aggressive, glowing green vines creates the specific 'thrilling and unsettling' mood requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Dynamics (Disorienting Angles)\", \"reason_1\": \"The camera movement is linear but the warping visuals create a disorienting effect, though unintentional.\", \"reason_2\": \"Video 2 uses a more dynamic camera path that weaves through the vines, better simulating the 'disorienting angles' described in the prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Progression (The 'Emergence')\", \"reason_1\": \"There is no clear sense of progression or transformation; the video is a static loop of morphing textures.\", \"reason_2\": \"Video 2 conveys a sense of journey and progression, giving the impression of moving deeper into the maze as the vines expand.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 effectively captures the 'thrilling and unsettling' atmosphere through better lighting and composition. Video 1's abstract nature makes it feel more like a glitch than a narrative scene.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully renders the core semantic elements of the prompt—specifically the 'vines' and the 'tunnel' structure—with recognizable forms and distinct textures. Video 1 suffers from severe abstraction and morphological instability, appearing more like a fluid simulation than a physical environment. Video 2 also captures the requested color contrast and the 'thrilling' atmosphere much more effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Manifestation (Vines & Tendrils)", "reason_1": "Video 1 fails to generate distinct vines; the imagery is a morphing, abstract texture that resembles melting wax rather than plant life.", "reason_2": "Video 2 clearly renders distinct vines and tendrils that twist and curl, aligning perfectly with the prompt's description of a 'chaotic dance'.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Tunnel to Labyrinth)", "reason_1": "The environment in Video 1 is ambiguous and lacks the structural definition of a tunnel or labyrinth, appearing more like a fluid simulation.", "reason_2": "Video 2 establishes a clear tunnel-like structure with depth, creating the sense of a 'labyrinth' that the camera is navigating through.", "score_1": 2, "score_2": 8}, {"name": "Attribute Fidelity (Color Contrast)", "reason_1": "Video 1 has a muddy color palette where the greens blend indistinctly with the browns.", "reason_2": "Video 2 successfully executes the requested 'vibrant green' contrasting starkly against 'dark, earthy tones', creating a visually distinct look.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the specific subjects (vines, tendrils) and the environment (tunnel/labyrinth) requested. Video 1 fails to render recognizable vines, presenting instead abstract, melting textures.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Texture Consistency)", "reason_1": "The textures in Video 1 are highly unstable, constantly morphing and melting in a way that defies physical logic.", "reason_2": "Video 2 maintains the shape and form of the vines and walls reasonably well, despite the fast motion, avoiding the 'melting' effect seen in Video 1.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Definition", "reason_1": "The image is blurry and lacks definition, making it difficult to discern specific details.", "reason_2": "Video 2 is sharper, allowing the viewer to see the individual strands of the vines and the texture of the walls.", "score_1": 3, "score_2": 7}, {"name": "Motion Coherence", "reason_1": "The motion feels like a warping distortion rather than forward movement through space.", "reason_2": "The motion in Video 2 feels like a camera physically moving through a 3D space, providing a more realistic sense of speed and depth.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains significantly better structural integrity and visual clarity. Video 1 suffers from severe morphological instability, where objects lose their form and melt into the background.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Thrilling/Unsettling)", "reason_1": "The atmosphere is confusing rather than thrilling; the lack of recognizable forms reduces the impact.", "reason_2": "The combination of the dark tunnel and the aggressive, glowing green vines creates the specific 'thrilling and unsettling' mood requested.", "score_1": 3, "score_2": 7}, {"name": "Camera Dynamics (Disorienting Angles)", "reason_1": "The camera movement is linear but the warping visuals create a disorienting effect, though unintentional.", "reason_2": "Video 2 uses a more dynamic camera path that weaves through the vines, better simulating the 'disorienting angles' described in the prompt.", "score_1": 4, "score_2": 6}, {"name": "Narrative Progression (The 'Emergence')", "reason_1": "There is no clear sense of progression or transformation; the video is a static loop of morphing textures.", "reason_2": "Video 2 conveys a sense of journey and progression, giving the impression of moving deeper into the maze as the vines expand.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 effectively captures the 'thrilling and unsettling' atmosphere through better lighting and composition. Video 1's abstract nature makes it feel more like a glitch than a narrative scene.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully renders the core semantic elements of the prompt—specifically the 'vines' and the 'tunnel' structure—with recognizable forms and distinct textures. Video 1 suffers from severe abstraction and morphological instability, appearing more like a fluid simulation than a physical environment. Video 2 also captures the requested color contrast and the 'thrilling' atmosphere much more effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 67.0, "elapsed_sec": 60.829} +{"pair_id": "089_seed_310", "sample_index": 89, "seed": 310, "prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_310_The camera hurtles at breakneck speed through a di.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_310_The camera hurtles at breakneck speed through a di.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_310_The camera hurtles at breakneck speed through a di.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_310_The camera hurtles at breakneck speed through a di.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Manifestation (Vines & Tendrils)\", \"reason_1\": \"Video 1 fails to render distinct vines; the environment is a smear of green and brown pixels with no recognizable organic structure.\", \"reason_2\": \"Video 2 clearly renders individual vines, leaves, and tendrils that appear to be growing and twisting, aligning perfectly with the prompt's description.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Transition (Tunnel to Labyrinth)\", \"reason_1\": \"Video 1 shows a transition from a brownish blur to a green blur, but lacks the spatial definition of a 'labyrinth' or 'maze'.\", \"reason_2\": \"Video 2 depicts a clear progression from a narrower, dimly lit passage into a wider, more complex space filled with vegetation, effectively simulating the 'emerging' aspect.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Attribute Fidelity (Vibrant Green vs. Earthy Tones)\", \"reason_1\": \"Video 1 contains the correct colors (green and brown), but they are muddy and lack the 'vibrant' contrast requested.\", \"reason_2\": \"Video 2 displays a sharp, vibrant green that contrasts well with the earthy tones of the ground and walls, fulfilling the specific color attribute requirements.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders the specific subjects (vines, tendrils) and the environmental transition described in the prompt. Video 1 fails to generate recognizable objects, presenting only abstract motion blur.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"The video is extremely blurry and low-resolution; textures are non-existent, appearing as digital noise.\", \"reason_2\": \"Textures on the vines and walls are sharp and defined, maintaining clarity even during the fast camera movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The environment in Video 1 constantly morphs and warps unnaturally, lacking physical solidity.\", \"reason_2\": \"The vines and walls in Video 2 maintain their shape and structure as the camera moves past them, showing good temporal coherence.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Clarity (Speed vs. Blur)\", \"reason_1\": \"Video 1 relies on excessive motion blur to simulate speed, which destroys the image quality.\", \"reason_2\": \"Video 2 conveys 'breakneck speed' through rapid movement while keeping the foreground elements relatively sharp and readable.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains high visual fidelity and object permanence despite the high speed. Video 1 suffers from severe degradation, appearing as a low-resolution glitch rather than a coherent video.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Immersion (Thrilling/Unsettling)\", \"reason_1\": \"The atmosphere is confusing rather than thrilling due to the lack of visual information.\", \"reason_2\": \"The combination of speed, lighting, and the 'living' nature of the vines creates the specific unsettling and thrilling mood requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Navigation & Flow\", \"reason_1\": \"The camera movement feels like a simple linear zoom into noise.\", \"reason_2\": \"The camera feels like it is actively 'weaving' through the environment, navigating the space with a sense of depth and dimension.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy artifacting and lack of detail.\", \"reason_2\": \"The video is visually engaging, with a clear style and high-quality rendering that makes the scene easy to follow and enjoy.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully creates the 'thrilling and unsettling' atmosphere through effective composition and lighting. Video 1 fails to evoke the intended mood due to its lack of visual coherence.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every metric. It successfully renders the specific semantic details of the prompt, such as the 'vibrant green vines' and the 'earthy tones' of the tunnel, with high visual clarity. Video 1, by contrast, is an incoherent blur of colors that fails to form distinct objects or textures, suffering from extreme motion artifacts and low resolution. Video 2 captures the 'breakneck speed' while maintaining the structural integrity of the scene, whereas Video 1 dissolves into visual noise.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Manifestation (Vines & Tendrils)", "reason_1": "Video 1 fails to render distinct vines; the environment is a smear of green and brown pixels with no recognizable organic structure.", "reason_2": "Video 2 clearly renders individual vines, leaves, and tendrils that appear to be growing and twisting, aligning perfectly with the prompt's description.", "score_1": 1, "score_2": 9}, {"name": "Environmental Transition (Tunnel to Labyrinth)", "reason_1": "Video 1 shows a transition from a brownish blur to a green blur, but lacks the spatial definition of a 'labyrinth' or 'maze'.", "reason_2": "Video 2 depicts a clear progression from a narrower, dimly lit passage into a wider, more complex space filled with vegetation, effectively simulating the 'emerging' aspect.", "score_1": 3, "score_2": 7}, {"name": "Attribute Fidelity (Vibrant Green vs. Earthy Tones)", "reason_1": "Video 1 contains the correct colors (green and brown), but they are muddy and lack the 'vibrant' contrast requested.", "reason_2": "Video 2 displays a sharp, vibrant green that contrasts well with the earthy tones of the ground and walls, fulfilling the specific color attribute requirements.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders the specific subjects (vines, tendrils) and the environmental transition described in the prompt. Video 1 fails to generate recognizable objects, presenting only abstract motion blur.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Definition", "reason_1": "The video is extremely blurry and low-resolution; textures are non-existent, appearing as digital noise.", "reason_2": "Textures on the vines and walls are sharp and defined, maintaining clarity even during the fast camera movement.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Object Permanence)", "reason_1": "The environment in Video 1 constantly morphs and warps unnaturally, lacking physical solidity.", "reason_2": "The vines and walls in Video 2 maintain their shape and structure as the camera moves past them, showing good temporal coherence.", "score_1": 2, "score_2": 8}, {"name": "Motion Clarity (Speed vs. Blur)", "reason_1": "Video 1 relies on excessive motion blur to simulate speed, which destroys the image quality.", "reason_2": "Video 2 conveys 'breakneck speed' through rapid movement while keeping the foreground elements relatively sharp and readable.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains high visual fidelity and object permanence despite the high speed. Video 1 suffers from severe degradation, appearing as a low-resolution glitch rather than a coherent video.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Immersion (Thrilling/Unsettling)", "reason_1": "The atmosphere is confusing rather than thrilling due to the lack of visual information.", "reason_2": "The combination of speed, lighting, and the 'living' nature of the vines creates the specific unsettling and thrilling mood requested.", "score_1": 2, "score_2": 8}, {"name": "Camera Navigation & Flow", "reason_1": "The camera movement feels like a simple linear zoom into noise.", "reason_2": "The camera feels like it is actively 'weaving' through the environment, navigating the space with a sense of depth and dimension.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to heavy artifacting and lack of detail.", "reason_2": "The video is visually engaging, with a clear style and high-quality rendering that makes the scene easy to follow and enjoy.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully creates the 'thrilling and unsettling' atmosphere through effective composition and lighting. Video 1 fails to evoke the intended mood due to its lack of visual coherence.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every metric. It successfully renders the specific semantic details of the prompt, such as the 'vibrant green vines' and the 'earthy tones' of the tunnel, with high visual clarity. Video 1, by contrast, is an incoherent blur of colors that fails to form distinct objects or textures, suffering from extreme motion artifacts and low resolution. Video 2 captures the 'breakneck speed' while maintaining the structural integrity of the scene, whereas Video 1 dissolves into visual noise.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 61.746} +{"pair_id": "089_seed_930", "sample_index": 89, "seed": 930, "prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Manifestation (Vines & Tendrils)\", \"reason_1\": \"Video 1 fails to render distinct vines; the environment is a blurry, abstract tunnel with no recognizable plant life.\", \"reason_2\": \"Video 2 clearly renders green, vine-like structures on the walls that appear to be growing and twisting, aligning well with the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Transition (Tunnel to Labyrinth)\", \"reason_1\": \"Video 1 remains in a dark, undefined tunnel space throughout, failing to show the emergence into a sprawling labyrinth.\", \"reason_2\": \"Video 2 depicts a clearer transition from a darker, enclosed space into a brighter, more complex corridor filled with vegetation.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Fidelity (Vibrant Green vs. Earthy Tones)\", \"reason_1\": \"Video 1 has a muddy color palette with very little distinct green or earthy contrast.\", \"reason_2\": \"Video 2 successfully captures the 'vibrant green' of the vines contrasting against the 'dark, earthy tones' of the walls.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately depicts the specific subjects (vines, labyrinth) and attributes (vibrant green, twisting motion) requested. Video 1 fails to generate the primary subject matter, resulting in an abstract blur.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"The video is extremely blurry and lacks texture definition; it looks like a low-resolution smear.\", \"reason_2\": \"The video maintains reasonable sharpness, allowing the viewer to see the texture of the walls and the leaves of the vines.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Coherence (Speed vs. Clarity)\", \"reason_1\": \"While it captures the 'breakneck speed' aspect, the motion is so fast that it destroys all visual coherence, making the video unwatchable.\", \"reason_2\": \"Video 2 balances the requested speed with enough frame stability to actually see the environment passing by.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Structural Stability\", \"reason_1\": \"The tunnel walls warp and dissolve into noise rather than maintaining a solid physical structure.\", \"reason_2\": \"The walls and vines maintain their structural integrity relative to the camera movement, creating a believable 3D space.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains visual clarity and texture definition despite the fast motion. Video 1 suffers from severe degradation, appearing as a low-resolution smear.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Thrilling & Unsettling)\", \"reason_1\": \"The atmosphere is confusing rather than thrilling due to the lack of visual information.\", \"reason_2\": \"The combination of the rushing camera and the encroaching greenery effectively creates the 'thrilling and unsettling' atmosphere described.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Navigation (Disorienting Angles)\", \"reason_1\": \"The camera moves in a straight line with little variation in angle.\", \"reason_2\": \"The camera weaves slightly and tilts, better simulating the 'disorienting angles' and 'weaving' motion requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression (The 'Dizzying Effect')\", \"reason_1\": \"The video is dizzying only because it is blurry, not because of a narrative build-up.\", \"reason_2\": \"The video builds a sense of being plunged deeper into a maze, fulfilling the narrative arc of the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully creates the 'thrilling and unsettling' atmosphere through effective camera work and set design. Video 1 lacks aesthetic appeal due to its poor quality.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Dynamic Environmental Interaction\", \"dims\": [{\"name\": \"Vine Growth Animation\", \"reason_1\": \"There is no visible growth animation; the environment is static and blurry.\", \"reason_2\": \"The vines appear to be actively twisting and expanding as the camera moves, fulfilling the 'rapidly growing' requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Tendril Interaction (Reaching Out)\", \"reason_1\": \"No tendrils are visible to reach out.\", \"reason_2\": \"The vines are positioned in a way that suggests they are reaching towards the camera path, matching the 'eager fingers' description.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Spatial Complexity (Labyrinthine Feel)\", \"reason_1\": \"The space feels like a simple, straight tube.\", \"reason_2\": \"The environment feels more complex and maze-like, with varying depths and obstacles.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category assesses the specific 'living' nature of the vines requested. Video 2 attempts to show growth and interaction, while Video 1 shows nothing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully renders the core semantic elements of the prompt—specifically the vibrant green vines, the labyrinthine structure, and the transition from a tunnel to a complex environment. Video 1 fails to generate recognizable vines or a labyrinth, presenting instead a low-fidelity, blurry tunnel run that lacks the requested visual details and atmospheric contrast.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Manifestation (Vines & Tendrils)", "reason_1": "Video 1 fails to render distinct vines; the environment is a blurry, abstract tunnel with no recognizable plant life.", "reason_2": "Video 2 clearly renders green, vine-like structures on the walls that appear to be growing and twisting, aligning well with the prompt.", "score_1": 1, "score_2": 9}, {"name": "Environmental Transition (Tunnel to Labyrinth)", "reason_1": "Video 1 remains in a dark, undefined tunnel space throughout, failing to show the emergence into a sprawling labyrinth.", "reason_2": "Video 2 depicts a clearer transition from a darker, enclosed space into a brighter, more complex corridor filled with vegetation.", "score_1": 2, "score_2": 8}, {"name": "Attribute Fidelity (Vibrant Green vs. Earthy Tones)", "reason_1": "Video 1 has a muddy color palette with very little distinct green or earthy contrast.", "reason_2": "Video 2 successfully captures the 'vibrant green' of the vines contrasting against the 'dark, earthy tones' of the walls.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately depicts the specific subjects (vines, labyrinth) and attributes (vibrant green, twisting motion) requested. Video 1 fails to generate the primary subject matter, resulting in an abstract blur.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Definition", "reason_1": "The video is extremely blurry and lacks texture definition; it looks like a low-resolution smear.", "reason_2": "The video maintains reasonable sharpness, allowing the viewer to see the texture of the walls and the leaves of the vines.", "score_1": 1, "score_2": 9}, {"name": "Motion Coherence (Speed vs. Clarity)", "reason_1": "While it captures the 'breakneck speed' aspect, the motion is so fast that it destroys all visual coherence, making the video unwatchable.", "reason_2": "Video 2 balances the requested speed with enough frame stability to actually see the environment passing by.", "score_1": 3, "score_2": 7}, {"name": "Structural Stability", "reason_1": "The tunnel walls warp and dissolve into noise rather than maintaining a solid physical structure.", "reason_2": "The walls and vines maintain their structural integrity relative to the camera movement, creating a believable 3D space.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains visual clarity and texture definition despite the fast motion. Video 1 suffers from severe degradation, appearing as a low-resolution smear.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Thrilling & Unsettling)", "reason_1": "The atmosphere is confusing rather than thrilling due to the lack of visual information.", "reason_2": "The combination of the rushing camera and the encroaching greenery effectively creates the 'thrilling and unsettling' atmosphere described.", "score_1": 2, "score_2": 8}, {"name": "Camera Navigation (Disorienting Angles)", "reason_1": "The camera moves in a straight line with little variation in angle.", "reason_2": "The camera weaves slightly and tilts, better simulating the 'disorienting angles' and 'weaving' motion requested.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression (The 'Dizzying Effect')", "reason_1": "The video is dizzying only because it is blurry, not because of a narrative build-up.", "reason_2": "The video builds a sense of being plunged deeper into a maze, fulfilling the narrative arc of the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully creates the 'thrilling and unsettling' atmosphere through effective camera work and set design. Video 1 lacks aesthetic appeal due to its poor quality.", "cat_winner": "Video 2"}, {"name": "D. Dynamic Environmental Interaction", "dims": [{"name": "Vine Growth Animation", "reason_1": "There is no visible growth animation; the environment is static and blurry.", "reason_2": "The vines appear to be actively twisting and expanding as the camera moves, fulfilling the 'rapidly growing' requirement.", "score_1": 1, "score_2": 9}, {"name": "Tendril Interaction (Reaching Out)", "reason_1": "No tendrils are visible to reach out.", "reason_2": "The vines are positioned in a way that suggests they are reaching towards the camera path, matching the 'eager fingers' description.", "score_1": 1, "score_2": 9}, {"name": "Spatial Complexity (Labyrinthine Feel)", "reason_1": "The space feels like a simple, straight tube.", "reason_2": "The environment feels more complex and maze-like, with varying depths and obstacles.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category assesses the specific 'living' nature of the vines requested. Video 2 attempts to show growth and interaction, while Video 1 shows nothing.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully renders the core semantic elements of the prompt—specifically the vibrant green vines, the labyrinthine structure, and the transition from a tunnel to a complex environment. Video 1 fails to generate recognizable vines or a labyrinth, presenting instead a low-fidelity, blurry tunnel run that lacks the requested visual details and atmospheric contrast.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 97.0, "elapsed_sec": 73.469} +{"pair_id": "090_seed_42", "sample_index": 90, "seed": 42, "prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Leisurely Traversing)\", \"reason_1\": \"Video 1 depicts the sloth actively moving and traversing the branch, aligning well with the prompt's instruction.\", \"reason_2\": \"Video 2 shows the sloth in a static, curled-up position with almost no movement, failing to depict the 'traversing' action.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attribute Accuracy (Moss-Tinted Fur)\", \"reason_1\": \"Video 1 renders the fur with a distinct green, moss-like coloration as requested.\", \"reason_2\": \"Video 2 renders the fur with a more naturalistic brown and grey palette, missing the specific 'moss-tinted' instruction.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Humid Rainforest)\", \"reason_1\": \"Video 1 successfully creates a lush, green rainforest background.\", \"reason_2\": \"Video 2 also provides a convincing, dense rainforest environment with appropriate foliage.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres more strictly to the specific descriptive adjectives in the prompt, particularly the 'moss-tinted' fur and the active 'traversing' motion, whereas Video 2 presents a static subject with more naturalistic coloring.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe anatomical failure; the sloth's limbs morph, stretch, and detach unnaturally during movement.\", \"reason_2\": \"Video 2 maintains perfect anatomical consistency throughout the clip, with no warping or distortion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Fidelity (Fur & Moisture)\", \"reason_1\": \"The fur in Video 1 appears matted and plastic-like, lacking the definition of individual strands.\", \"reason_2\": \"Video 2 renders the fur with high definition, showing individual strands and a realistic wet/moist texture.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The movement in Video 1 is jerky and fluid-like in a way that defies physics (rubber-banding).\", \"reason_2\": \"Video 2 is largely static, but the subtle micro-movements (breathing, eye shifts) are physically plausible and realistic.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and texture rendering. Video 1 suffers from critical hallucinations where the subject's limbs warp and lose structural integrity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"Video 1 has relatively flat lighting that lacks the requested 'cinematic' depth.\", \"reason_2\": \"Video 2 utilizes soft, dappled lighting that effectively creates the 'humid' and 'cinematic' atmosphere described.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Emotional Impact (Soulful/Tranquil)\", \"reason_1\": \"The chaotic morphing in Video 1 detracts from any sense of tranquility or soulfulness.\", \"reason_2\": \"The stillness and high-quality close-up in Video 2 successfully convey the 'soulful' and 'unhurried' essence of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is low due to the distracting artifacts and unnatural motion.\", \"reason_2\": \"The video is visually pleasing, resembling a high-quality nature documentary shot.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'cinematic' and 'soulful' mood requested by the prompt through superior lighting and composition, whereas Video 1 feels flatter and more artificial.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"While Video 1 attempts to follow the specific action and color attributes of the prompt more closely, it suffers from severe morphological instability and unnatural motion. Video 2, despite being more static, delivers superior photorealism, anatomical consistency, and a much higher aesthetic quality that better captures the 'cinematic' and 'soulful' atmosphere requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Leisurely Traversing)", "reason_1": "Video 1 depicts the sloth actively moving and traversing the branch, aligning well with the prompt's instruction.", "reason_2": "Video 2 shows the sloth in a static, curled-up position with almost no movement, failing to depict the 'traversing' action.", "score_1": 8, "score_2": 2}, {"name": "Attribute Accuracy (Moss-Tinted Fur)", "reason_1": "Video 1 renders the fur with a distinct green, moss-like coloration as requested.", "reason_2": "Video 2 renders the fur with a more naturalistic brown and grey palette, missing the specific 'moss-tinted' instruction.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Humid Rainforest)", "reason_1": "Video 1 successfully creates a lush, green rainforest background.", "reason_2": "Video 2 also provides a convincing, dense rainforest environment with appropriate foliage.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres more strictly to the specific descriptive adjectives in the prompt, particularly the 'moss-tinted' fur and the active 'traversing' motion, whereas Video 2 presents a static subject with more naturalistic coloring.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe anatomical failure; the sloth's limbs morph, stretch, and detach unnaturally during movement.", "reason_2": "Video 2 maintains perfect anatomical consistency throughout the clip, with no warping or distortion.", "score_1": 1, "score_2": 9}, {"name": "Texture Fidelity (Fur & Moisture)", "reason_1": "The fur in Video 1 appears matted and plastic-like, lacking the definition of individual strands.", "reason_2": "Video 2 renders the fur with high definition, showing individual strands and a realistic wet/moist texture.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness", "reason_1": "The movement in Video 1 is jerky and fluid-like in a way that defies physics (rubber-banding).", "reason_2": "Video 2 is largely static, but the subtle micro-movements (breathing, eye shifts) are physically plausible and realistic.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade stability and texture rendering. Video 1 suffers from critical hallucinations where the subject's limbs warp and lose structural integrity.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "Video 1 has relatively flat lighting that lacks the requested 'cinematic' depth.", "reason_2": "Video 2 utilizes soft, dappled lighting that effectively creates the 'humid' and 'cinematic' atmosphere described.", "score_1": 3, "score_2": 7}, {"name": "Emotional Impact (Soulful/Tranquil)", "reason_1": "The chaotic morphing in Video 1 detracts from any sense of tranquility or soulfulness.", "reason_2": "The stillness and high-quality close-up in Video 2 successfully convey the 'soulful' and 'unhurried' essence of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is low due to the distracting artifacts and unnatural motion.", "reason_2": "The video is visually pleasing, resembling a high-quality nature documentary shot.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'cinematic' and 'soulful' mood requested by the prompt through superior lighting and composition, whereas Video 1 feels flatter and more artificial.", "cat_winner": "Video 2"}], "reason": "While Video 1 attempts to follow the specific action and color attributes of the prompt more closely, it suffers from severe morphological instability and unnatural motion. Video 2, despite being more static, delivers superior photorealism, anatomical consistency, and a much higher aesthetic quality that better captures the 'cinematic' and 'soulful' atmosphere requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 34.0, "total_score_2": 56.0, "elapsed_sec": 61.365} +{"pair_id": "090_seed_310", "sample_index": 90, "seed": 310, "prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_310_In a vibrant humid rainforest a sloth leisurely tr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_310_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_310_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_310_In a vibrant humid rainforest a sloth leisurely tr.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The sloth in Video 1 maintains a consistent, recognizable biological form throughout the clip.\", \"reason_2\": \"The subject in Video 2 suffers from severe anatomical hallucinations; the limbs twist unnaturally and the body shape morphs into an amorphous blob.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Moss-Tinted Fur)\", \"reason_1\": \"Video 1 accurately renders the 'moss-tinted' fur with a distinct green hue that looks like natural coloration.\", \"reason_2\": \"Video 2 renders the fur as a muddy, shifting texture that lacks the specific 'moss-tinted' definition requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Adherence (Leisurely Traversing)\", \"reason_1\": \"Video 1 depicts a slow, deliberate movement consistent with a sloth traversing a branch.\", \"reason_2\": \"Video 2 fails to depict traversing; the movement is characterized by glitching and warping rather than locomotion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 correctly identifies and renders the subject and its specific attributes, whereas Video 2 fails to maintain the basic structural integrity of the sloth.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability\", \"reason_1\": \"The subject retains its volume and shape consistently across all frames.\", \"reason_2\": \"The subject exhibits extreme temporal instability, constantly changing size and shape in a distracting manner.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Gravity & Interaction)\", \"reason_1\": \"The sloth appears to have weight and grips the branch realistically.\", \"reason_2\": \"The subject appears to float or clip through the branch, lacking any sense of physical connection or gravity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Fidelity & Sharpness\", \"reason_1\": \"The fur texture is sharp and detailed, allowing individual strands to be perceived.\", \"reason_2\": \"The texture is blurry and smeared, lacking the definition required for 'intricate details'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism, while Video 2 is plagued by severe artifacts and temporal incoherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Mood\", \"reason_1\": \"The lighting is soft and cinematic, effectively highlighting the wet fur and creating the requested serene mood.\", \"reason_2\": \"The lighting is flat and inconsistent, failing to evoke the humid, cinematic atmosphere described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually pleasing, coherent, and looks like a professional nature shot.\", \"reason_2\": \"The video is visually broken due to the severe morphing artifacts, making it unpleasant to watch.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is well-framed against the background, drawing the eye to the face and fur details.\", \"reason_2\": \"While the framing is acceptable, the distortion of the subject ruins the composition.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully captures the cinematic and serene mood requested, while Video 2 is visually jarring due to technical failures.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it maintains a coherent, anatomically correct subject with high visual fidelity that aligns well with the prompt's descriptive details. Video 2 suffers from catastrophic morphological failure, where the subject's body distorts, melts, and loses structural integrity, completely breaking the realism and semantic alignment.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Anatomical Logic", "reason_1": "The sloth in Video 1 maintains a consistent, recognizable biological form throughout the clip.", "reason_2": "The subject in Video 2 suffers from severe anatomical hallucinations; the limbs twist unnaturally and the body shape morphs into an amorphous blob.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Moss-Tinted Fur)", "reason_1": "Video 1 accurately renders the 'moss-tinted' fur with a distinct green hue that looks like natural coloration.", "reason_2": "Video 2 renders the fur as a muddy, shifting texture that lacks the specific 'moss-tinted' definition requested.", "score_1": 8, "score_2": 2}, {"name": "Action Adherence (Leisurely Traversing)", "reason_1": "Video 1 depicts a slow, deliberate movement consistent with a sloth traversing a branch.", "reason_2": "Video 2 fails to depict traversing; the movement is characterized by glitching and warping rather than locomotion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 correctly identifies and renders the subject and its specific attributes, whereas Video 2 fails to maintain the basic structural integrity of the sloth.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability", "reason_1": "The subject retains its volume and shape consistently across all frames.", "reason_2": "The subject exhibits extreme temporal instability, constantly changing size and shape in a distracting manner.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Gravity & Interaction)", "reason_1": "The sloth appears to have weight and grips the branch realistically.", "reason_2": "The subject appears to float or clip through the branch, lacking any sense of physical connection or gravity.", "score_1": 8, "score_2": 2}, {"name": "Texture Fidelity & Sharpness", "reason_1": "The fur texture is sharp and detailed, allowing individual strands to be perceived.", "reason_2": "The texture is blurry and smeared, lacking the definition required for 'intricate details'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism, while Video 2 is plagued by severe artifacts and temporal incoherence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Mood", "reason_1": "The lighting is soft and cinematic, effectively highlighting the wet fur and creating the requested serene mood.", "reason_2": "The lighting is flat and inconsistent, failing to evoke the humid, cinematic atmosphere described.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually pleasing, coherent, and looks like a professional nature shot.", "reason_2": "The video is visually broken due to the severe morphing artifacts, making it unpleasant to watch.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The subject is well-framed against the background, drawing the eye to the face and fur details.", "reason_2": "While the framing is acceptable, the distortion of the subject ruins the composition.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully captures the cinematic and serene mood requested, while Video 2 is visually jarring due to technical failures.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it maintains a coherent, anatomically correct subject with high visual fidelity that aligns well with the prompt's descriptive details. Video 2 suffers from catastrophic morphological failure, where the subject's body distorts, melts, and loses structural integrity, completely breaking the realism and semantic alignment.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 55.14} +{"pair_id": "090_seed_930", "sample_index": 90, "seed": 930, "prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Leisurely Traversing)\", \"reason_1\": \"Video 1 is essentially a static shot with minor head movement; it fails to depict the sloth 'traversing' the branch.\", \"reason_2\": \"Video 2 depicts the sloth actively climbing and moving along the branch, aligning well with the prompt's instruction to 'traverse'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Accuracy (Moss-Tinted Fur)\", \"reason_1\": \"Video 1 renders the fur as a standard brown sloth with a greenish tint, which is less distinct than the prompt implies.\", \"reason_2\": \"Video 2 explicitly renders the fur with a vibrant green, moss-like coloration, adhering strictly to the 'moss-tinted' descriptor.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Humid Rainforest)\", \"reason_1\": \"Video 1 successfully creates a lush, humid rainforest background with appropriate depth of field.\", \"reason_2\": \"Video 2 also generates a convincing rainforest environment with dense foliage and appropriate lighting.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 follows the prompt's instructions regarding action and specific attributes much more closely than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subject in Video 1 maintains a consistent shape and solid form throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe morphing; the sloth's limbs and body distort and melt into the branch during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Fidelity (Fur & Moisture)\", \"reason_1\": \"The fur texture in Video 1 appears somewhat smooth and plastic-like, lacking the 'coarse' detail requested.\", \"reason_2\": \"Video 2 renders the 'coarse' and 'glistening' texture of the fur with high detail, even if the motion is flawed.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"Video 1 is static, but the subject feels grounded and physically present on the branch.\", \"reason_2\": \"The movement in Video 2 feels floaty and disconnected from physics, with the subject sliding rather than gripping.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains a solid, consistent subject form, whereas Video 2 suffers from significant anatomical hallucinations and morphing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and lacks the dramatic 'cinematic' quality requested.\", \"reason_2\": \"Video 2 features dynamic lighting with highlights on the wet fur, creating a richer, more cinematic atmosphere.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Appeal & Color Harmony\", \"reason_1\": \"The color palette is natural but slightly dull compared to the 'vibrant' description.\", \"reason_2\": \"The vibrant greens and high contrast in Video 2 create a more visually striking image that matches the 'vibrant' prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Engagement\", \"reason_1\": \"Due to the lack of movement, the clip feels like a still photo rather than a narrative moment.\", \"reason_2\": \"The movement and interaction with the environment create a stronger sense of a living, breathing moment in nature.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'cinematic' and 'vibrant' aesthetic requested by the prompt better than the flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner in terms of semantic alignment and aesthetic ambition. It successfully attempts the specific action ('traverses') and the unique visual attribute ('moss-tinted fur') requested in the prompt. While Video 1 is more morphologically stable, it fails to depict the requested movement (remaining largely static) and presents a generic sloth appearance rather than the specific 'moss-tinted' description. Video 2 captures the vibrant, cinematic essence of the prompt better, despite suffering from some anatomical instability.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Leisurely Traversing)", "reason_1": "Video 1 is essentially a static shot with minor head movement; it fails to depict the sloth 'traversing' the branch.", "reason_2": "Video 2 depicts the sloth actively climbing and moving along the branch, aligning well with the prompt's instruction to 'traverse'.", "score_1": 2, "score_2": 8}, {"name": "Attribute Accuracy (Moss-Tinted Fur)", "reason_1": "Video 1 renders the fur as a standard brown sloth with a greenish tint, which is less distinct than the prompt implies.", "reason_2": "Video 2 explicitly renders the fur with a vibrant green, moss-like coloration, adhering strictly to the 'moss-tinted' descriptor.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Humid Rainforest)", "reason_1": "Video 1 successfully creates a lush, humid rainforest background with appropriate depth of field.", "reason_2": "Video 2 also generates a convincing rainforest environment with dense foliage and appropriate lighting.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 follows the prompt's instructions regarding action and specific attributes much more closely than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "The subject in Video 1 maintains a consistent shape and solid form throughout the clip.", "reason_2": "Video 2 exhibits severe morphing; the sloth's limbs and body distort and melt into the branch during movement.", "score_1": 8, "score_2": 2}, {"name": "Texture Fidelity (Fur & Moisture)", "reason_1": "The fur texture in Video 1 appears somewhat smooth and plastic-like, lacking the 'coarse' detail requested.", "reason_2": "Video 2 renders the 'coarse' and 'glistening' texture of the fur with high detail, even if the motion is flawed.", "score_1": 4, "score_2": 6}, {"name": "Motion Physics & Grounding", "reason_1": "Video 1 is static, but the subject feels grounded and physically present on the branch.", "reason_2": "The movement in Video 2 feels floaty and disconnected from physics, with the subject sliding rather than gripping.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains a solid, consistent subject form, whereas Video 2 suffers from significant anatomical hallucinations and morphing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "The lighting in Video 1 is somewhat flat and lacks the dramatic 'cinematic' quality requested.", "reason_2": "Video 2 features dynamic lighting with highlights on the wet fur, creating a richer, more cinematic atmosphere.", "score_1": 4, "score_2": 6}, {"name": "Visual Appeal & Color Harmony", "reason_1": "The color palette is natural but slightly dull compared to the 'vibrant' description.", "reason_2": "The vibrant greens and high contrast in Video 2 create a more visually striking image that matches the 'vibrant' prompt.", "score_1": 4, "score_2": 6}, {"name": "Narrative Engagement", "reason_1": "Due to the lack of movement, the clip feels like a still photo rather than a narrative moment.", "reason_2": "The movement and interaction with the environment create a stronger sense of a living, breathing moment in nature.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'cinematic' and 'vibrant' aesthetic requested by the prompt better than the flatter look of Video 1.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner in terms of semantic alignment and aesthetic ambition. It successfully attempts the specific action ('traverses') and the unique visual attribute ('moss-tinted fur') requested in the prompt. While Video 1 is more morphologically stable, it fails to depict the requested movement (remaining largely static) and presents a generic sloth appearance rather than the specific 'moss-tinted' description. Video 2 captures the vibrant, cinematic essence of the prompt better, despite suffering from some anatomical instability.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 41.0, "total_score_2": 49.0, "elapsed_sec": 78.18} +{"pair_id": "091_seed_42", "sample_index": 91, "seed": 42, "prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Progression (City to Digital Transition)\", \"reason_1\": \"Video 1 remains a static cityscape loop throughout the entire clip, completely failing to execute the requested transition into a digital realm.\", \"reason_2\": \"Video 2 executes a clear, dramatic shift where the physical buildings dissolve into abstract lines and light, perfectly matching the 'transition seamlessly into a digital realm' instruction.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Crowds & Holograms)\", \"reason_1\": \"Video 1 depicts a city, but the 'bustling crowds' are indistinct and the holographic ads are generic neon blurs.\", \"reason_2\": \"Video 2 features more distinct, albeit stylized, holographic elements and a sense of a 'living' street before the transition, aligning better with the prompt's descriptive density.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Urgency (Speed & Blur)\", \"reason_1\": \"Video 1 conveys speed, but the motion blur feels like a standard filter rather than a dynamic effect of acceleration.\", \"reason_2\": \"Video 2 uses the 'dynamic blur effects' explicitly mentioned in the prompt to create a tunnel-vision effect that enhances the sensation of urgency.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the prompt's narrative arc, specifically the transition from a physical city to a digital realm. Video 1 failed to generate the second half of the prompt entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is heavily pixelated and blurry, lacking definition in the buildings and lights.\", \"reason_2\": \"The image is crisp, with well-defined edges on the skyscrapers and distinct colors in the neon lights.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The motion is somewhat jerky and the frame rate feels inconsistent during the fast-forward segments.\", \"reason_2\": \"The camera movement is fluid and consistent, maintaining a smooth forward trajectory even during the high-speed transition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting & Color Vibrancy\", \"reason_1\": \"Colors are washed out and muddy, lacking the 'vibrant' quality requested.\", \"reason_2\": \"The neon colors are saturated and glowing, creating a strong contrast that fits the cyberpunk aesthetic perfectly.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a much cleaner, sharper image with vibrant colors, whereas Video 1 suffers from significant blur, low resolution, and muddy textures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Immersive Sensation of Speed\", \"reason_1\": \"The speed feels mechanical and lacks the 'thrilling' quality requested.\", \"reason_2\": \"The combination of the tunnel effect and the dissolving environment creates a highly immersive, exhilarating sensation of racing.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cyberpunk Aesthetic Interpretation\", \"reason_1\": \"The aesthetic is generic and lacks the high-tech, futuristic polish associated with the genre.\", \"reason_2\": \"The video successfully captures the sleek, neon-soaked, high-tech look of a cyberpunk city.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"The composition is standard but marred by the lack of detail in the peripheral vision.\", \"reason_2\": \"The central perspective is strong, drawing the eye effectively toward the vanishing point and the transition zone.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 creates a much more immersive and aesthetically pleasing experience, effectively using the 'warp speed' visual language to convey the narrative shift.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Special Effects & Abstract Rendering\", \"dims\": [{\"name\": \"Digital Realm Visualization\", \"reason_1\": \"Video 1 contains zero elements of a digital realm or code streams.\", \"reason_2\": \"Video 2 transforms the environment into a 'tapestry of light' with streaks that resemble data streams, fulfilling the prompt's creative demand.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Transition Effect Execution\", \"reason_1\": \"There is no transition effect present.\", \"reason_2\": \"The transition is handled via a morphing blur effect that feels intentional and stylistically coherent with the 'digital' theme.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Abstract Data Representation\", \"reason_1\": \"No abstract elements are present.\", \"reason_2\": \"The final frames of Video 2 strongly suggest a shift to abstract data or information streams, aligning with the 'swirling streams of code' description.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"This personalized category evaluates the specific 'digital realm' and 'code streams' requirements. Video 2 attempts this; Video 1 does not.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully executes the critical narrative transition from a physical city to a digital realm, which Video 1 completely ignores. Video 2 also demonstrates superior visual fidelity, sharper details, and a more effective use of motion blur to convey the requested sensation of speed and urgency.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Progression (City to Digital Transition)", "reason_1": "Video 1 remains a static cityscape loop throughout the entire clip, completely failing to execute the requested transition into a digital realm.", "reason_2": "Video 2 executes a clear, dramatic shift where the physical buildings dissolve into abstract lines and light, perfectly matching the 'transition seamlessly into a digital realm' instruction.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Crowds & Holograms)", "reason_1": "Video 1 depicts a city, but the 'bustling crowds' are indistinct and the holographic ads are generic neon blurs.", "reason_2": "Video 2 features more distinct, albeit stylized, holographic elements and a sense of a 'living' street before the transition, aligning better with the prompt's descriptive density.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Urgency (Speed & Blur)", "reason_1": "Video 1 conveys speed, but the motion blur feels like a standard filter rather than a dynamic effect of acceleration.", "reason_2": "Video 2 uses the 'dynamic blur effects' explicitly mentioned in the prompt to create a tunnel-vision effect that enhances the sensation of urgency.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the prompt's narrative arc, specifically the transition from a physical city to a digital realm. Video 1 failed to generate the second half of the prompt entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is heavily pixelated and blurry, lacking definition in the buildings and lights.", "reason_2": "The image is crisp, with well-defined edges on the skyscrapers and distinct colors in the neon lights.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Stability", "reason_1": "The motion is somewhat jerky and the frame rate feels inconsistent during the fast-forward segments.", "reason_2": "The camera movement is fluid and consistent, maintaining a smooth forward trajectory even during the high-speed transition.", "score_1": 3, "score_2": 7}, {"name": "Lighting & Color Vibrancy", "reason_1": "Colors are washed out and muddy, lacking the 'vibrant' quality requested.", "reason_2": "The neon colors are saturated and glowing, creating a strong contrast that fits the cyberpunk aesthetic perfectly.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a much cleaner, sharper image with vibrant colors, whereas Video 1 suffers from significant blur, low resolution, and muddy textures.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Immersive Sensation of Speed", "reason_1": "The speed feels mechanical and lacks the 'thrilling' quality requested.", "reason_2": "The combination of the tunnel effect and the dissolving environment creates a highly immersive, exhilarating sensation of racing.", "score_1": 3, "score_2": 7}, {"name": "Cyberpunk Aesthetic Interpretation", "reason_1": "The aesthetic is generic and lacks the high-tech, futuristic polish associated with the genre.", "reason_2": "The video successfully captures the sleek, neon-soaked, high-tech look of a cyberpunk city.", "score_1": 3, "score_2": 7}, {"name": "Visual Composition & Framing", "reason_1": "The composition is standard but marred by the lack of detail in the peripheral vision.", "reason_2": "The central perspective is strong, drawing the eye effectively toward the vanishing point and the transition zone.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 creates a much more immersive and aesthetically pleasing experience, effectively using the 'warp speed' visual language to convey the narrative shift.", "cat_winner": "Video 2"}, {"name": "D. Special Effects & Abstract Rendering", "dims": [{"name": "Digital Realm Visualization", "reason_1": "Video 1 contains zero elements of a digital realm or code streams.", "reason_2": "Video 2 transforms the environment into a 'tapestry of light' with streaks that resemble data streams, fulfilling the prompt's creative demand.", "score_1": 1, "score_2": 9}, {"name": "Transition Effect Execution", "reason_1": "There is no transition effect present.", "reason_2": "The transition is handled via a morphing blur effect that feels intentional and stylistically coherent with the 'digital' theme.", "score_1": 1, "score_2": 9}, {"name": "Abstract Data Representation", "reason_1": "No abstract elements are present.", "reason_2": "The final frames of Video 2 strongly suggest a shift to abstract data or information streams, aligning with the 'swirling streams of code' description.", "score_1": 1, "score_2": 9}], "cat_reason": "This personalized category evaluates the specific 'digital realm' and 'code streams' requirements. Video 2 attempts this; Video 1 does not.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully executes the critical narrative transition from a physical city to a digital realm, which Video 1 completely ignores. Video 2 also demonstrates superior visual fidelity, sharper details, and a more effective use of motion blur to convey the requested sensation of speed and urgency.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 30.0, "total_score_2": 90.0, "elapsed_sec": 71.301} +{"pair_id": "091_seed_310", "sample_index": 91, "seed": 310, "prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_310_A thrilling first-person perspective races through.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_310_A thrilling first-person perspective races through.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_310_A thrilling first-person perspective races through.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_310_A thrilling first-person perspective races through.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Transition (Physical to Digital)\", \"reason_1\": \"Video 1 completely fails to execute the transition; it remains a static street scene throughout the entire duration.\", \"reason_2\": \"Video 2 executes a clear, dramatic transition where the physical environment dissolves into a swirling tunnel of light and data, matching the prompt's core narrative arc.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Cyberpunk City)\", \"reason_1\": \"Video 1 depicts a recognizable, detailed cyberpunk city with distinct buildings and signage.\", \"reason_2\": \"Video 2's city environment is heavily distorted and abstract, making the 'skyscrapers' and 'crowds' difficult to distinguish.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Thrilling Race)\", \"reason_1\": \"Video 1 shows a standard driving speed, lacking the 'thrilling' and 'racing' intensity requested.\", \"reason_2\": \"Video 2 conveys a high-velocity sensation of rushing forward, aligning better with the 'thrilling race' description.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 follows the prompt's narrative progression, specifically the transition into a digital realm, whereas Video 1 ignores this instruction entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 maintains high resolution and sharp details on the buildings and lights.\", \"reason_2\": \"Video 2 is extremely blurry and lacks definition, appearing more like a low-resolution smear.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects in Video 1 maintain their shape and structure consistently.\", \"reason_2\": \"Video 2 suffers from severe warping and hallucination, where the environment loses all structural integrity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera movement in Video 1 is smooth and fluid.\", \"reason_2\": \"Video 2's motion is jerky and chaotic, contributing to a lower quality feel.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is technically superior, offering a sharp, stable, and coherent image, whereas Video 2 suffers from significant blur and distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Sensation of Speed & Urgency\", \"reason_1\": \"Video 1 feels like a leisurely cruise, failing to evoke 'urgency' or 'exhilaration'.\", \"reason_2\": \"Video 2 effectively uses motion blur and rapid forward movement to create the requested 'exhilarating sensation of speed'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Dynamic Blur Effects\", \"reason_1\": \"Video 1 uses minimal blur, resulting in a static look.\", \"reason_2\": \"Video 2 utilizes heavy dynamic blur as a stylistic choice to accentuate the transition, as requested by the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Immersive Impact\", \"reason_1\": \"Video 1 is visually pleasing but lacks the immersive 'rush' described.\", \"reason_2\": \"Despite the low quality, Video 2 pulls the viewer into the 'digital realm' effectively through its aggressive visual style.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the intended mood and energy of the prompt, creating an immersive experience that Video 1 lacks.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Special Effects & Stylistic Interpretation\", \"dims\": [{\"name\": \"Digital Realm Visualization\", \"reason_1\": \"Video 1 contains no representation of a digital realm or code streams.\", \"reason_2\": \"Video 2 creates a tunnel of swirling light and abstract shapes that successfully represents the 'digital realm' and 'tapestry of light'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Atmospheric Intensity\", \"reason_1\": \"The atmosphere in Video 1 is calm and standard.\", \"reason_2\": \"Video 2 creates a chaotic, high-energy atmosphere that fits the 'thrilling' descriptor.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Prompt-Specific Stylization\", \"reason_1\": \"Video 1 ignores the specific stylistic instructions regarding the transition and blur.\", \"reason_2\": \"Video 2 prioritizes the specific stylistic requests (blur, transition, speed) over general realism.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This category evaluates the specific 'digital realm' and 'code streams' requirements. Video 2 attempts this; Video 1 does not.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully attempts the critical narrative arc required by the prompt: the transition from a physical city into a digital realm. While Video 1 offers superior visual fidelity and stability, it completely fails to execute the 'transition' and 'digital realm' instructions, remaining a static driving shot throughout. Video 2 captures the requested 'thrilling' speed, 'dynamic blur', and the specific visual shift into a data-like tunnel, fulfilling the prompt's core creative intent despite lower technical resolution.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Transition (Physical to Digital)", "reason_1": "Video 1 completely fails to execute the transition; it remains a static street scene throughout the entire duration.", "reason_2": "Video 2 executes a clear, dramatic transition where the physical environment dissolves into a swirling tunnel of light and data, matching the prompt's core narrative arc.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Cyberpunk City)", "reason_1": "Video 1 depicts a recognizable, detailed cyberpunk city with distinct buildings and signage.", "reason_2": "Video 2's city environment is heavily distorted and abstract, making the 'skyscrapers' and 'crowds' difficult to distinguish.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Thrilling Race)", "reason_1": "Video 1 shows a standard driving speed, lacking the 'thrilling' and 'racing' intensity requested.", "reason_2": "Video 2 conveys a high-velocity sensation of rushing forward, aligning better with the 'thrilling race' description.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 follows the prompt's narrative progression, specifically the transition into a digital realm, whereas Video 1 ignores this instruction entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 maintains high resolution and sharp details on the buildings and lights.", "reason_2": "Video 2 is extremely blurry and lacks definition, appearing more like a low-resolution smear.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Objects in Video 1 maintain their shape and structure consistently.", "reason_2": "Video 2 suffers from severe warping and hallucination, where the environment loses all structural integrity.", "score_1": 9, "score_2": 1}, {"name": "Motion Smoothness", "reason_1": "The camera movement in Video 1 is smooth and fluid.", "reason_2": "Video 2's motion is jerky and chaotic, contributing to a lower quality feel.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is technically superior, offering a sharp, stable, and coherent image, whereas Video 2 suffers from significant blur and distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Sensation of Speed & Urgency", "reason_1": "Video 1 feels like a leisurely cruise, failing to evoke 'urgency' or 'exhilaration'.", "reason_2": "Video 2 effectively uses motion blur and rapid forward movement to create the requested 'exhilarating sensation of speed'.", "score_1": 2, "score_2": 8}, {"name": "Dynamic Blur Effects", "reason_1": "Video 1 uses minimal blur, resulting in a static look.", "reason_2": "Video 2 utilizes heavy dynamic blur as a stylistic choice to accentuate the transition, as requested by the prompt.", "score_1": 2, "score_2": 8}, {"name": "Immersive Impact", "reason_1": "Video 1 is visually pleasing but lacks the immersive 'rush' described.", "reason_2": "Despite the low quality, Video 2 pulls the viewer into the 'digital realm' effectively through its aggressive visual style.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the intended mood and energy of the prompt, creating an immersive experience that Video 1 lacks.", "cat_winner": "Video 2"}, {"name": "D. Special Effects & Stylistic Interpretation", "dims": [{"name": "Digital Realm Visualization", "reason_1": "Video 1 contains no representation of a digital realm or code streams.", "reason_2": "Video 2 creates a tunnel of swirling light and abstract shapes that successfully represents the 'digital realm' and 'tapestry of light'.", "score_1": 1, "score_2": 9}, {"name": "Atmospheric Intensity", "reason_1": "The atmosphere in Video 1 is calm and standard.", "reason_2": "Video 2 creates a chaotic, high-energy atmosphere that fits the 'thrilling' descriptor.", "score_1": 3, "score_2": 7}, {"name": "Prompt-Specific Stylization", "reason_1": "Video 1 ignores the specific stylistic instructions regarding the transition and blur.", "reason_2": "Video 2 prioritizes the specific stylistic requests (blur, transition, speed) over general realism.", "score_1": 2, "score_2": 8}], "cat_reason": "This category evaluates the specific 'digital realm' and 'code streams' requirements. Video 2 attempts this; Video 1 does not.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully attempts the critical narrative arc required by the prompt: the transition from a physical city into a digital realm. While Video 1 offers superior visual fidelity and stability, it completely fails to execute the 'transition' and 'digital realm' instructions, remaining a static driving shot throughout. Video 2 captures the requested 'thrilling' speed, 'dynamic blur', and the specific visual shift into a data-like tunnel, fulfilling the prompt's core creative intent despite lower technical resolution.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 52.0, "total_score_2": 68.0, "elapsed_sec": 69.745} +{"pair_id": "091_seed_930", "sample_index": 91, "seed": 930, "prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Progression (City to Digital Transition)\", \"reason_1\": \"Video 1 completely fails to execute the transition; it remains a standard street race throughout the entire clip with no shift to a digital realm.\", \"reason_2\": \"Video 2 perfectly executes the prompt's narrative arc, shifting from a physical city street into a distinct, glowing blue digital tunnel.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Cyberpunk Cityscape)\", \"reason_1\": \"Video 1 depicts a very clear, detailed cyberpunk city with distinct buildings, crowds, and signage.\", \"reason_2\": \"Video 2's city environment is heavily obscured by motion blur and quickly dissolves, making the initial setting less distinct than Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Perspective (FPV Racing)\", \"reason_1\": \"Video 1 maintains a consistent first-person vehicle perspective.\", \"reason_2\": \"Video 2 maintains a consistent first-person perspective, even as the environment changes.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 followed the prompt's narrative instructions, specifically the transition into a digital realm. Video 1 ignored the second half of the prompt entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Blur & Speed Simulation\", \"reason_1\": \"Video 1 has standard motion blur, but it feels like a moderate speed drive rather than a 'thrilling' race.\", \"reason_2\": \"Video 2 utilizes aggressive radial blur and streaking effects that effectively simulate high-velocity racing and the requested 'dynamic blur effects'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 maintains high texture resolution and sharpness on the buildings and road.\", \"reason_2\": \"Video 2 is quite blurry and lacks definition, likely due to the heavy effects used to simulate speed and the transition.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Stability (Object Persistence)\", \"reason_1\": \"Video 1 is very stable with no noticeable morphing of the vehicle or buildings.\", \"reason_2\": \"Video 2 suffers from significant morphing and instability as the environment dissolves into the digital tunnel.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"While Video 1 is sharper, Video 2 better captures the 'dynamic' nature of the prompt. The prompt explicitly requested 'dynamic blur effects' and a 'blur of color,' which Video 2 prioritized to create the sensation of speed.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Sensation of Speed & Urgency\", \"reason_1\": \"The pacing in Video 1 is steady and controlled, lacking the 'urgency' and 'exhilarating sensation' requested.\", \"reason_2\": \"Video 2 creates a visceral sense of acceleration and speed, aligning perfectly with the emotional tone of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Effects (VFX) Integration\", \"reason_1\": \"Video 1 lacks significant visual effects beyond standard rendering.\", \"reason_2\": \"Video 2 integrates the 'swirling streams of code' and light effects effectively to create the 'mesmerizing tapestry' described.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony & Atmosphere\", \"reason_1\": \"Video 1 has a pleasing, vibrant neon palette typical of cyberpunk.\", \"reason_2\": \"Video 2 shifts its palette dramatically to cool blues and cyans during the transition, effectively signaling the shift to the 'digital realm'.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the 'exhilarating' and 'thrilling' mood requested by the prompt through its pacing and effects. Video 1 is aesthetically pleasing but lacks the requested intensity.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully attempts and executes the critical narrative arc required by the prompt: the transition from a physical city to a digital realm. While Video 1 offers higher static visual fidelity, it completely ignores the second half of the prompt (the transition to code/data), remaining a standard city drive. Video 2 captures the requested 'sensation of speed,' 'dynamic blur,' and the specific 'digital realm' aesthetic, fulfilling the prompt's complex structural demands.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Progression (City to Digital Transition)", "reason_1": "Video 1 completely fails to execute the transition; it remains a standard street race throughout the entire clip with no shift to a digital realm.", "reason_2": "Video 2 perfectly executes the prompt's narrative arc, shifting from a physical city street into a distinct, glowing blue digital tunnel.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Cyberpunk Cityscape)", "reason_1": "Video 1 depicts a very clear, detailed cyberpunk city with distinct buildings, crowds, and signage.", "reason_2": "Video 2's city environment is heavily obscured by motion blur and quickly dissolves, making the initial setting less distinct than Video 1.", "score_1": 7, "score_2": 3}, {"name": "Subject Perspective (FPV Racing)", "reason_1": "Video 1 maintains a consistent first-person vehicle perspective.", "reason_2": "Video 2 maintains a consistent first-person perspective, even as the environment changes.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 followed the prompt's narrative instructions, specifically the transition into a digital realm. Video 1 ignored the second half of the prompt entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Blur & Speed Simulation", "reason_1": "Video 1 has standard motion blur, but it feels like a moderate speed drive rather than a 'thrilling' race.", "reason_2": "Video 2 utilizes aggressive radial blur and streaking effects that effectively simulate high-velocity racing and the requested 'dynamic blur effects'.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 maintains high texture resolution and sharpness on the buildings and road.", "reason_2": "Video 2 is quite blurry and lacks definition, likely due to the heavy effects used to simulate speed and the transition.", "score_1": 8, "score_2": 2}, {"name": "Temporal Stability (Object Persistence)", "reason_1": "Video 1 is very stable with no noticeable morphing of the vehicle or buildings.", "reason_2": "Video 2 suffers from significant morphing and instability as the environment dissolves into the digital tunnel.", "score_1": 8, "score_2": 2}], "cat_reason": "While Video 1 is sharper, Video 2 better captures the 'dynamic' nature of the prompt. The prompt explicitly requested 'dynamic blur effects' and a 'blur of color,' which Video 2 prioritized to create the sensation of speed.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Sensation of Speed & Urgency", "reason_1": "The pacing in Video 1 is steady and controlled, lacking the 'urgency' and 'exhilarating sensation' requested.", "reason_2": "Video 2 creates a visceral sense of acceleration and speed, aligning perfectly with the emotional tone of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Visual Effects (VFX) Integration", "reason_1": "Video 1 lacks significant visual effects beyond standard rendering.", "reason_2": "Video 2 integrates the 'swirling streams of code' and light effects effectively to create the 'mesmerizing tapestry' described.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony & Atmosphere", "reason_1": "Video 1 has a pleasing, vibrant neon palette typical of cyberpunk.", "reason_2": "Video 2 shifts its palette dramatically to cool blues and cyans during the transition, effectively signaling the shift to the 'digital realm'.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the 'exhilarating' and 'thrilling' mood requested by the prompt through its pacing and effects. Video 1 is aesthetically pleasing but lacks the requested intensity.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully attempts and executes the critical narrative arc required by the prompt: the transition from a physical city to a digital realm. While Video 1 offers higher static visual fidelity, it completely ignores the second half of the prompt (the transition to code/data), remaining a standard city drive. Video 2 captures the requested 'sensation of speed,' 'dynamic blur,' and the specific 'digital realm' aesthetic, fulfilling the prompt's complex structural demands.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 41.0, "total_score_2": 49.0, "elapsed_sec": 58.597} +{"pair_id": "092_seed_42", "sample_index": 92, "seed": 42, "prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_42_A daring surfer clad in gleaming medieval armor ex.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_42_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_42_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_42_A daring surfer clad in gleaming medieval armor ex.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Action Fidelity (Surfer vs. Static)\", \"reason_1\": \"Video 1 depicts a figure in a prone, crawling posture, completely failing to represent the 'surfer' or 'navigating' action.\", \"reason_2\": \"Video 2 shows a knight in a dynamic, upright posture consistent with riding or maneuvering, aligning well with the 'surfer' concept.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Lava Flow)\", \"reason_1\": \"The environment in Video 1 resembles pink sand dunes or abstract cloth rather than a molten lava flow.\", \"reason_2\": \"Video 2 clearly depicts a fiery, fluid environment with appropriate colors and textures representing molten lava.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Specificity (Armor & Engravings)\", \"reason_1\": \"Video 1 features armor, but the details are soft and the 'gleaming' quality is lost in the low-contrast lighting.\", \"reason_2\": \"Video 2 renders the armor with high detail, showing the requested 'intricate engravings' and metallic sheen clearly.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly identifies the subject as a surfer-like figure in armor and places them in a convincing lava environment. Video 1 fails the core action prompt, depicting a crawling figure in a sandy environment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is blurry and lacks definition, appearing more like a moving painting than a realistic video.\", \"reason_2\": \"The video is sharp, with crisp details on the metal armor and distinct separation between the subject and background.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting Interaction (Reflections & Glint)\", \"reason_1\": \"Lighting is diffuse and flat; the armor does not reflect the environment or 'glint' as requested.\", \"reason_2\": \"The armor exhibits realistic specular highlights and reflections of the fiery background, fulfilling the 'glint' requirement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Coherence & Stability\", \"reason_1\": \"The motion is minimal and somewhat warping, lacking physical weight.\", \"reason_2\": \"The motion is dynamic and fluid, maintaining the structural integrity of the complex armor during movement.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers high-definition textures and realistic lighting interactions. Video 1 suffers from a soft, painterly blur and lacks the sharpness required for the prompt's details.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Intensity (Heat & Power)\", \"reason_1\": \"The mood is passive and calm, failing to convey 'intense heat' or 'elemental power'.\", \"reason_2\": \"The video successfully conveys a high-energy, intense atmosphere through color grading and dynamic composition.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Dynamics (Follow Shot)\", \"reason_1\": \"The camera is largely static with a slight drift, failing to 'follow closely' in an active sense.\", \"reason_2\": \"The camera moves with the subject, creating a sense of speed and engagement that matches the 'follows closely' instruction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual style is somewhat muddy and lacks the 'breathtaking' quality requested.\", \"reason_2\": \"The composition, lighting, and detail combine to create a visually striking and aesthetically pleasing clip.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'breathtaking' and 'intense' mood requested by the prompt through dynamic camera work and vibrant colors. Video 1 is static and lacks emotional impact.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully depicts the core concept of a knight in armor actively navigating a fiery environment, closely matching the 'surfer' and 'lava' semantics. Video 1 fails significantly in semantic alignment, showing a figure crawling on sand rather than surfing on lava, and lacks the dynamic energy and visual fidelity present in Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Action Fidelity (Surfer vs. Static)", "reason_1": "Video 1 depicts a figure in a prone, crawling posture, completely failing to represent the 'surfer' or 'navigating' action.", "reason_2": "Video 2 shows a knight in a dynamic, upright posture consistent with riding or maneuvering, aligning well with the 'surfer' concept.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Lava Flow)", "reason_1": "The environment in Video 1 resembles pink sand dunes or abstract cloth rather than a molten lava flow.", "reason_2": "Video 2 clearly depicts a fiery, fluid environment with appropriate colors and textures representing molten lava.", "score_1": 2, "score_2": 8}, {"name": "Attribute Specificity (Armor & Engravings)", "reason_1": "Video 1 features armor, but the details are soft and the 'gleaming' quality is lost in the low-contrast lighting.", "reason_2": "Video 2 renders the armor with high detail, showing the requested 'intricate engravings' and metallic sheen clearly.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly identifies the subject as a surfer-like figure in armor and places them in a convincing lava environment. Video 1 fails the core action prompt, depicting a crawling figure in a sandy environment.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is blurry and lacks definition, appearing more like a moving painting than a realistic video.", "reason_2": "The video is sharp, with crisp details on the metal armor and distinct separation between the subject and background.", "score_1": 2, "score_2": 8}, {"name": "Lighting Interaction (Reflections & Glint)", "reason_1": "Lighting is diffuse and flat; the armor does not reflect the environment or 'glint' as requested.", "reason_2": "The armor exhibits realistic specular highlights and reflections of the fiery background, fulfilling the 'glint' requirement.", "score_1": 3, "score_2": 7}, {"name": "Motion Coherence & Stability", "reason_1": "The motion is minimal and somewhat warping, lacking physical weight.", "reason_2": "The motion is dynamic and fluid, maintaining the structural integrity of the complex armor during movement.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers high-definition textures and realistic lighting interactions. Video 1 suffers from a soft, painterly blur and lacks the sharpness required for the prompt's details.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Intensity (Heat & Power)", "reason_1": "The mood is passive and calm, failing to convey 'intense heat' or 'elemental power'.", "reason_2": "The video successfully conveys a high-energy, intense atmosphere through color grading and dynamic composition.", "score_1": 2, "score_2": 8}, {"name": "Camera Dynamics (Follow Shot)", "reason_1": "The camera is largely static with a slight drift, failing to 'follow closely' in an active sense.", "reason_2": "The camera moves with the subject, creating a sense of speed and engagement that matches the 'follows closely' instruction.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The visual style is somewhat muddy and lacks the 'breathtaking' quality requested.", "reason_2": "The composition, lighting, and detail combine to create a visually striking and aesthetically pleasing clip.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'breathtaking' and 'intense' mood requested by the prompt through dynamic camera work and vibrant colors. Video 1 is static and lacks emotional impact.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully depicts the core concept of a knight in armor actively navigating a fiery environment, closely matching the 'surfer' and 'lava' semantics. Video 1 fails significantly in semantic alignment, showing a figure crawling on sand rather than surfing on lava, and lacks the dynamic energy and visual fidelity present in Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 57.231} +{"pair_id": "092_seed_310", "sample_index": 92, "seed": 310, "prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_310_A daring surfer clad in gleaming medieval armor ex.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_310_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_310_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_310_A daring surfer clad in gleaming medieval armor ex.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Equipment Completeness (Surfer + Board)\", \"reason_1\": \"Video 1 clearly depicts the surfer holding and riding a surfboard, fulfilling the core 'surfer' identity.\", \"reason_2\": \"Video 2 shows a knight moving forward but completely fails to generate the surfboard, missing a critical noun from the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Interaction (Board on Lava)\", \"reason_1\": \"Video 1 shows the board physically interacting with the lava surface, creating the requested 'crackles' and 'sparks' beneath it.\", \"reason_2\": \"Video 2 lacks the board, so there is no interaction between the board and the lava; the subject simply floats or moves over a blurry background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attribute Fidelity (Armor & Visor)\", \"reason_1\": \"Video 1 renders the armor with a metallic sheen and includes a helmet/visor structure that fits the description.\", \"reason_2\": \"Video 2 renders armor, but the helmet is open-faced without the specific 'visor reflecting hues' detail requested, and the style is less consistent.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 correctly identifies and renders the core subject as a 'surfer' with a board, whereas Video 2 fails to generate the board entirely, depicting only a knight moving forward.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Armor Consistency)\", \"reason_1\": \"The armor in Video 1 remains relatively consistent in design and color throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the armor changes from silver to gold, and the helmet shape morphs drastically between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 maintains a reasonable level of sharpness on the armor textures and the lava surface.\", \"reason_2\": \"Video 2 is plagued by motion blur and low-resolution artifacts, making the details muddy and indistinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Coherence (Surfing Physics)\", \"reason_1\": \"The motion in Video 1 mimics the balance and lean of surfing, aligning with the physics of the prompt.\", \"reason_2\": \"The motion in Video 2 is a chaotic, forward-leaning crawl that lacks the fluidity or logic of surfing.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable subject identity and clearer textures. Video 2 suffers from severe temporal instability, with the armor changing color and shape randomly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Motion (Close Follow)\", \"reason_1\": \"The camera in Video 1 effectively tracks the subject from a side/front angle, simulating a 'follow' shot.\", \"reason_2\": \"Video 2 uses a shaky, frontal angle that feels more like a dolly zoom than a tracking shot of a surfer.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Lighting (Heat & Reflections)\", \"reason_1\": \"Video 1 captures the 'glowing red and orange hues' reflecting off the armor and the heat shimmering effect well.\", \"reason_2\": \"Video 2 has lighting, but the inconsistent armor colors break the immersion of the lighting effects.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Clarity (The Act of Surfing)\", \"reason_1\": \"The clip clearly communicates the story of a knight surfing lava.\", \"reason_2\": \"The narrative is lost; it looks like a confused clip of a knight running or falling, with no clear action.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully executes the 'camera follows closely' instruction and creates a cohesive scene. Video 2 is disjointed and visually confusing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully generates the essential 'surfboard' element and depicts the subject actually surfing, whereas Video 2 completely omits the board. Furthermore, Video 1 maintains significantly better temporal stability, while Video 2 suffers from severe morphing where the armor changes color and shape constantly.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Equipment Completeness (Surfer + Board)", "reason_1": "Video 1 clearly depicts the surfer holding and riding a surfboard, fulfilling the core 'surfer' identity.", "reason_2": "Video 2 shows a knight moving forward but completely fails to generate the surfboard, missing a critical noun from the prompt.", "score_1": 9, "score_2": 1}, {"name": "Environmental Interaction (Board on Lava)", "reason_1": "Video 1 shows the board physically interacting with the lava surface, creating the requested 'crackles' and 'sparks' beneath it.", "reason_2": "Video 2 lacks the board, so there is no interaction between the board and the lava; the subject simply floats or moves over a blurry background.", "score_1": 8, "score_2": 2}, {"name": "Attribute Fidelity (Armor & Visor)", "reason_1": "Video 1 renders the armor with a metallic sheen and includes a helmet/visor structure that fits the description.", "reason_2": "Video 2 renders armor, but the helmet is open-faced without the specific 'visor reflecting hues' detail requested, and the style is less consistent.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 correctly identifies and renders the core subject as a 'surfer' with a board, whereas Video 2 fails to generate the board entirely, depicting only a knight moving forward.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Armor Consistency)", "reason_1": "The armor in Video 1 remains relatively consistent in design and color throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the armor changes from silver to gold, and the helmet shape morphs drastically between frames.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 maintains a reasonable level of sharpness on the armor textures and the lava surface.", "reason_2": "Video 2 is plagued by motion blur and low-resolution artifacts, making the details muddy and indistinct.", "score_1": 7, "score_2": 3}, {"name": "Motion Coherence (Surfing Physics)", "reason_1": "The motion in Video 1 mimics the balance and lean of surfing, aligning with the physics of the prompt.", "reason_2": "The motion in Video 2 is a chaotic, forward-leaning crawl that lacks the fluidity or logic of surfing.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable subject identity and clearer textures. Video 2 suffers from severe temporal instability, with the armor changing color and shape randomly.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Motion (Close Follow)", "reason_1": "The camera in Video 1 effectively tracks the subject from a side/front angle, simulating a 'follow' shot.", "reason_2": "Video 2 uses a shaky, frontal angle that feels more like a dolly zoom than a tracking shot of a surfer.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Lighting (Heat & Reflections)", "reason_1": "Video 1 captures the 'glowing red and orange hues' reflecting off the armor and the heat shimmering effect well.", "reason_2": "Video 2 has lighting, but the inconsistent armor colors break the immersion of the lighting effects.", "score_1": 7, "score_2": 3}, {"name": "Narrative Clarity (The Act of Surfing)", "reason_1": "The clip clearly communicates the story of a knight surfing lava.", "reason_2": "The narrative is lost; it looks like a confused clip of a knight running or falling, with no clear action.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully executes the 'camera follows closely' instruction and creates a cohesive scene. Video 2 is disjointed and visually confusing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully generates the essential 'surfboard' element and depicts the subject actually surfing, whereas Video 2 completely omits the board. Furthermore, Video 1 maintains significantly better temporal stability, while Video 2 suffers from severe morphing where the armor changes color and shape constantly.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 59.574} +{"pair_id": "092_seed_930", "sample_index": 92, "seed": 930, "prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Armor & Visor)\", \"reason_1\": \"Video 1 features a helmet with a reflective visor as requested, though the armor texture is somewhat smooth and plastic-like.\", \"reason_2\": \"Video 2 features highly detailed armor with visible engravings, but the visor is open, revealing the face rather than reflecting the lava as explicitly requested.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Interaction (Sparks & Heat)\", \"reason_1\": \"Video 1 depicts the lava as a flat, blurry surface with minimal interaction or particle effects.\", \"reason_2\": \"Video 2 successfully generates the 'sparks into the air' and the 'intense heat shimmering' described in the prompt, creating a convincing volcanic atmosphere.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Logic (Surfing Maneuver)\", \"reason_1\": \"The subject in Video 1 appears to be sliding or floating rather than actively surfing; the board interaction is vague.\", \"reason_2\": \"Video 2 conveys a sense of speed and balance consistent with 'expertly navigating' a turbulent flow.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the environmental complexity (sparks, heat) and the action (maneuvering) far better than Video 1, despite Video 1 adhering slightly better to the specific 'visor' instruction.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Material Textures (Metal & Lava)\", \"reason_1\": \"The armor looks like smooth plastic or low-poly CGI, and the lava lacks the texture of molten rock.\", \"reason_2\": \"The armor has realistic metallic sheen and weathering; the lava has depth, viscosity, and realistic lighting interactions.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Physics & Particle Simulation\", \"reason_1\": \"Lacks dynamic physics; the environment feels static and disconnected from the subject.\", \"reason_2\": \"Excellent particle simulation with flying sparks and debris that react to the subject's movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is soft and lacks definition, particularly in the background elements.\", \"reason_2\": \"The video is sharp, with clear details in the armor engravings and the surrounding environment.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates a generational leap in quality over Video 1, offering realistic textures, lighting, and particle physics compared to Video 1's low-resolution, game-engine aesthetic.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Intensity (Heat & Power)\", \"reason_1\": \"Fails to convey the 'intense heat' or 'elemental power'; the scene feels sterile.\", \"reason_2\": \"Successfully creates a suffocating, high-energy atmosphere through lighting, color grading, and particle effects.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Framing & Camera Motion\", \"reason_1\": \"The camera movement is somewhat floaty and lacks the intensity of a chase shot.\", \"reason_2\": \"The camera follows closely and dynamically, enhancing the sense of speed and danger.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Visually uninteresting due to flat lighting and low-detail assets.\", \"reason_2\": \"Aesthetically striking with high contrast, rich colors, and a professional cinematic look.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 delivers the 'breathtaking scene' requested by the prompt through superior lighting, color grading, and dynamic framing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is significantly superior in terms of visual fidelity, dynamic realism, and atmospheric intensity. While Video 1 adheres strictly to the 'visor' constraint, it suffers from low-quality textures and a lack of environmental interaction. Video 2 successfully renders the 'sparks,' 'heat shimmer,' and 'intricate engravings' with cinematic quality, creating the requested breathtaking scene of elemental power.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Armor & Visor)", "reason_1": "Video 1 features a helmet with a reflective visor as requested, though the armor texture is somewhat smooth and plastic-like.", "reason_2": "Video 2 features highly detailed armor with visible engravings, but the visor is open, revealing the face rather than reflecting the lava as explicitly requested.", "score_1": 6, "score_2": 4}, {"name": "Environmental Interaction (Sparks & Heat)", "reason_1": "Video 1 depicts the lava as a flat, blurry surface with minimal interaction or particle effects.", "reason_2": "Video 2 successfully generates the 'sparks into the air' and the 'intense heat shimmering' described in the prompt, creating a convincing volcanic atmosphere.", "score_1": 2, "score_2": 8}, {"name": "Action Logic (Surfing Maneuver)", "reason_1": "The subject in Video 1 appears to be sliding or floating rather than actively surfing; the board interaction is vague.", "reason_2": "Video 2 conveys a sense of speed and balance consistent with 'expertly navigating' a turbulent flow.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the environmental complexity (sparks, heat) and the action (maneuvering) far better than Video 1, despite Video 1 adhering slightly better to the specific 'visor' instruction.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Material Textures (Metal & Lava)", "reason_1": "The armor looks like smooth plastic or low-poly CGI, and the lava lacks the texture of molten rock.", "reason_2": "The armor has realistic metallic sheen and weathering; the lava has depth, viscosity, and realistic lighting interactions.", "score_1": 2, "score_2": 8}, {"name": "Physics & Particle Simulation", "reason_1": "Lacks dynamic physics; the environment feels static and disconnected from the subject.", "reason_2": "Excellent particle simulation with flying sparks and debris that react to the subject's movement.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is soft and lacks definition, particularly in the background elements.", "reason_2": "The video is sharp, with clear details in the armor engravings and the surrounding environment.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates a generational leap in quality over Video 1, offering realistic textures, lighting, and particle physics compared to Video 1's low-resolution, game-engine aesthetic.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Intensity (Heat & Power)", "reason_1": "Fails to convey the 'intense heat' or 'elemental power'; the scene feels sterile.", "reason_2": "Successfully creates a suffocating, high-energy atmosphere through lighting, color grading, and particle effects.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Framing & Camera Motion", "reason_1": "The camera movement is somewhat floaty and lacks the intensity of a chase shot.", "reason_2": "The camera follows closely and dynamically, enhancing the sense of speed and danger.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "Visually uninteresting due to flat lighting and low-detail assets.", "reason_2": "Aesthetically striking with high contrast, rich colors, and a professional cinematic look.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 delivers the 'breathtaking scene' requested by the prompt through superior lighting, color grading, and dynamic framing.", "cat_winner": "Video 2"}], "reason": "Video 2 is significantly superior in terms of visual fidelity, dynamic realism, and atmospheric intensity. While Video 1 adheres strictly to the 'visor' constraint, it suffers from low-quality textures and a lack of environmental interaction. Video 2 successfully renders the 'sparks,' 'heat shimmer,' and 'intricate engravings' with cinematic quality, creating the requested breathtaking scene of elemental power.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 59.932} +{"pair_id": "093_seed_42", "sample_index": 93, "seed": 42, "prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_42_A vintage teddy bear with worn fur and a stitched.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_42_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_42_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_42_A vintage teddy bear with worn fur and a stitched.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Compliance (Pull Back)\", \"reason_1\": \"Video 1 is a static shot with no discernible camera movement, completely failing the 'slowly pulls back' instruction.\", \"reason_2\": \"Video 2 executes a clear and smooth backward dolly movement, revealing more of the environment as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Fidelity (Limb Stretching)\", \"reason_1\": \"The bear in Video 1 only moves its head and mouth; it does not perform the requested limb stretching.\", \"reason_2\": \"Video 2 depicts the bear raising its arms and legs in a distinct stretching motion, aligning perfectly with the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attribute Accuracy (Vintage/Worn)\", \"reason_1\": \"The bear in Video 1 appears pristine, clean, and modern, lacking the 'worn' and 'vintage' characteristics specified.\", \"reason_2\": \"The bear in Video 2 has a more textured, slightly messier fur appearance that better fits the description of a 'vintage' and 'worn' toy.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Bed & Quilt)\", \"reason_1\": \"Video 1 shows the bed and pillows, but the tight framing limits the view of the 'patchwork quilt' and room context.\", \"reason_2\": \"Video 2's wider angle allows for a clearer view of the patchwork quilt and the surrounding pastel pillows, fulfilling the setting description better.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the critical instructions regarding camera movement and subject action, whereas Video 1 ignored the 'pull back' and 'stretching limbs' commands entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity (Fur & Fabric)\", \"reason_1\": \"The fur texture in Video 1 is exceptionally sharp and detailed, with high-quality lighting interactions.\", \"reason_2\": \"Video 2 has good texture, but it appears slightly softer and less defined than Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Motion Complexity & Fluidity\", \"reason_1\": \"Video 1 features very limited motion (just a head turn), which is easy to render but lacks dynamic complexity.\", \"reason_2\": \"Video 2 handles complex simultaneous motion (camera moving back + bear stretching limbs) with good fluidity and stability.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting & Atmospheric Consistency\", \"reason_1\": \"Video 1 maintains consistent, high-quality lighting throughout the short clip.\", \"reason_2\": \"Video 2 also maintains excellent lighting consistency as the perspective changes.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"While Video 1 has high texture fidelity, Video 2 demonstrates superior dynamic realism by handling complex motion (camera + subject) without breaking coherence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing in Video 1 is a tight close-up that feels claustrophobic and fails to capture the 'room's whimsical charm'.\", \"reason_2\": \"Video 2 uses a wider shot that effectively establishes the setting and creates a sense of space and atmosphere.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Progression (The Awakening)\", \"reason_1\": \"Video 1 feels like a static portrait with no sense of a journey or event starting.\", \"reason_2\": \"Video 2 captures the 'spark of life' and the beginning of the 'enchanting journey' through the bear's active stretching and the revealing camera move.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Mood (Magical/Cozy)\", \"reason_1\": \"Video 1 is cute but lacks the specific 'magical' atmosphere due to its static nature.\", \"reason_2\": \"The combination of the stretching action and the revealing camera move in Video 2 successfully evokes the requested magical and whimsical mood.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully creates a narrative moment (the awakening) through its composition and movement, whereas Video 1 feels like a static character portrait.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it faithfully executes the specific camera movement ('pulls back') and the complex subject action ('limbs stretching') required by the prompt. Video 1, while visually high-quality, remains a static close-up that fails to depict the requested camera motion or the bear's stretching animation, resulting in a failure to meet the narrative demands of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Compliance (Pull Back)", "reason_1": "Video 1 is a static shot with no discernible camera movement, completely failing the 'slowly pulls back' instruction.", "reason_2": "Video 2 executes a clear and smooth backward dolly movement, revealing more of the environment as requested.", "score_1": 1, "score_2": 9}, {"name": "Action Fidelity (Limb Stretching)", "reason_1": "The bear in Video 1 only moves its head and mouth; it does not perform the requested limb stretching.", "reason_2": "Video 2 depicts the bear raising its arms and legs in a distinct stretching motion, aligning perfectly with the prompt.", "score_1": 2, "score_2": 8}, {"name": "Subject Attribute Accuracy (Vintage/Worn)", "reason_1": "The bear in Video 1 appears pristine, clean, and modern, lacking the 'worn' and 'vintage' characteristics specified.", "reason_2": "The bear in Video 2 has a more textured, slightly messier fur appearance that better fits the description of a 'vintage' and 'worn' toy.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Bed & Quilt)", "reason_1": "Video 1 shows the bed and pillows, but the tight framing limits the view of the 'patchwork quilt' and room context.", "reason_2": "Video 2's wider angle allows for a clearer view of the patchwork quilt and the surrounding pastel pillows, fulfilling the setting description better.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the critical instructions regarding camera movement and subject action, whereas Video 1 ignored the 'pull back' and 'stretching limbs' commands entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity (Fur & Fabric)", "reason_1": "The fur texture in Video 1 is exceptionally sharp and detailed, with high-quality lighting interactions.", "reason_2": "Video 2 has good texture, but it appears slightly softer and less defined than Video 1.", "score_1": 6, "score_2": 4}, {"name": "Motion Complexity & Fluidity", "reason_1": "Video 1 features very limited motion (just a head turn), which is easy to render but lacks dynamic complexity.", "reason_2": "Video 2 handles complex simultaneous motion (camera moving back + bear stretching limbs) with good fluidity and stability.", "score_1": 3, "score_2": 7}, {"name": "Lighting & Atmospheric Consistency", "reason_1": "Video 1 maintains consistent, high-quality lighting throughout the short clip.", "reason_2": "Video 2 also maintains excellent lighting consistency as the perspective changes.", "score_1": 5, "score_2": 5}], "cat_reason": "While Video 1 has high texture fidelity, Video 2 demonstrates superior dynamic realism by handling complex motion (camera + subject) without breaking coherence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "The framing in Video 1 is a tight close-up that feels claustrophobic and fails to capture the 'room's whimsical charm'.", "reason_2": "Video 2 uses a wider shot that effectively establishes the setting and creates a sense of space and atmosphere.", "score_1": 2, "score_2": 8}, {"name": "Narrative Progression (The Awakening)", "reason_1": "Video 1 feels like a static portrait with no sense of a journey or event starting.", "reason_2": "Video 2 captures the 'spark of life' and the beginning of the 'enchanting journey' through the bear's active stretching and the revealing camera move.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Mood (Magical/Cozy)", "reason_1": "Video 1 is cute but lacks the specific 'magical' atmosphere due to its static nature.", "reason_2": "The combination of the stretching action and the revealing camera move in Video 2 successfully evokes the requested magical and whimsical mood.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully creates a narrative moment (the awakening) through its composition and movement, whereas Video 1 feels like a static character portrait.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it faithfully executes the specific camera movement ('pulls back') and the complex subject action ('limbs stretching') required by the prompt. Video 1, while visually high-quality, remains a static close-up that fails to depict the requested camera motion or the bear's stretching animation, resulting in a failure to meet the narrative demands of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 32.0, "total_score_2": 68.0, "elapsed_sec": 64.398} +{"pair_id": "093_seed_310", "sample_index": 93, "seed": 310, "prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_310_A vintage teddy bear with worn fur and a stitched.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_310_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_310_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_310_A vintage teddy bear with worn fur and a stitched.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Vintage/Worn/Stitched)\", \"reason_1\": \"Video 1 generates a character that looks like a modern, clean, movie-prop teddy bear (resembling 'Ted') rather than a vintage toy with a stitched smile.\", \"reason_2\": \"Video 2 perfectly captures the 'vintage' aesthetic with visible stitching on the paws and a worn, textured fur appearance that matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Execution (Stretching & Animation)\", \"reason_1\": \"Video 1 attempts the requested action of the bear moving and stretching its limbs, although the execution is physically awkward.\", \"reason_2\": \"Video 2 is largely static, failing to execute the specific 'limbs stretching' and 'newfound animation' instructions found in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Detail (Lace, Quilt, Sunlight)\", \"reason_1\": \"Video 1 includes the bed and quilt but lacks the specific 'delicate lace curtains' and the intricate light patterns they cast.\", \"reason_2\": \"Video 2 features prominent, high-quality lace curtains in the foreground and background, creating the specific 'intricate patterns' and 'golden sunlight' atmosphere requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately renders the specific visual attributes of the subject (vintage, stitched, worn) and the environment (lace curtains, light patterns), whereas Video 1 generates a generic character that misses the 'vintage' descriptor.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe anatomical failure; the bear's arms and legs warp, stretch unnaturally, and lose volume during movement.\", \"reason_2\": \"Video 2 maintains perfect structural integrity of the subject throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Fidelity (Fur & Fabric)\", \"reason_1\": \"The fur texture in Video 1 appears matted and low-resolution, lacking the tactile realism of a high-quality generation.\", \"reason_2\": \"Video 2 renders individual fur strands and the fabric of the lace curtains with high definition and realistic lighting interaction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion in Video 1 is jerky and defies physics, with the subject floating and distorting rather than moving naturally.\", \"reason_2\": \"Video 2 has minimal motion, but what exists (subtle breathing/light shifts) is smooth and free of artifacts.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade visual fidelity and stability. Video 1 suffers from significant hallucinations and morphological breakdowns during movement.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Magical/Whimsical)\", \"reason_1\": \"Video 1 feels somewhat flat and lacks the 'magical' quality, presenting a standard, slightly uncanny room.\", \"reason_2\": \"Video 2 uses soft, golden lighting and foreground elements (curtains) to successfully create the 'magical atmosphere' and 'whimsical charm' described.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Depth\", \"reason_1\": \"Video 1 uses a flat, medium shot with little depth or interesting framing.\", \"reason_2\": \"Video 2 utilizes the lace curtains in the foreground to create a sense of depth and intimacy, enhancing the aesthetic appeal.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Movement (Pull Back)\", \"reason_1\": \"Video 1 has a static camera that does not pull back as requested.\", \"reason_2\": \"Video 2 has a very subtle push-in or static hold, also failing to execute the requested 'pull back' camera move.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 successfully establishes the 'magical' and 'whimsical' mood through superior lighting and composition, whereas Video 1 feels flatter and less atmospheric.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, accurate rendering of the 'vintage' and 'stitched' attributes, and successful creation of the requested 'magical atmosphere' with intricate lighting. While Video 1 attempts the specific motion instructions (stretching), it suffers from severe morphological distortion and fails to capture the specific aesthetic details (worn fur, lace curtains) as effectively as Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Vintage/Worn/Stitched)", "reason_1": "Video 1 generates a character that looks like a modern, clean, movie-prop teddy bear (resembling 'Ted') rather than a vintage toy with a stitched smile.", "reason_2": "Video 2 perfectly captures the 'vintage' aesthetic with visible stitching on the paws and a worn, textured fur appearance that matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Action Execution (Stretching & Animation)", "reason_1": "Video 1 attempts the requested action of the bear moving and stretching its limbs, although the execution is physically awkward.", "reason_2": "Video 2 is largely static, failing to execute the specific 'limbs stretching' and 'newfound animation' instructions found in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Environmental Detail (Lace, Quilt, Sunlight)", "reason_1": "Video 1 includes the bed and quilt but lacks the specific 'delicate lace curtains' and the intricate light patterns they cast.", "reason_2": "Video 2 features prominent, high-quality lace curtains in the foreground and background, creating the specific 'intricate patterns' and 'golden sunlight' atmosphere requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately renders the specific visual attributes of the subject (vintage, stitched, worn) and the environment (lace curtains, light patterns), whereas Video 1 generates a generic character that misses the 'vintage' descriptor.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe anatomical failure; the bear's arms and legs warp, stretch unnaturally, and lose volume during movement.", "reason_2": "Video 2 maintains perfect structural integrity of the subject throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Texture Fidelity (Fur & Fabric)", "reason_1": "The fur texture in Video 1 appears matted and low-resolution, lacking the tactile realism of a high-quality generation.", "reason_2": "Video 2 renders individual fur strands and the fabric of the lace curtains with high definition and realistic lighting interaction.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion in Video 1 is jerky and defies physics, with the subject floating and distorting rather than moving naturally.", "reason_2": "Video 2 has minimal motion, but what exists (subtle breathing/light shifts) is smooth and free of artifacts.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade visual fidelity and stability. Video 1 suffers from significant hallucinations and morphological breakdowns during movement.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Magical/Whimsical)", "reason_1": "Video 1 feels somewhat flat and lacks the 'magical' quality, presenting a standard, slightly uncanny room.", "reason_2": "Video 2 uses soft, golden lighting and foreground elements (curtains) to successfully create the 'magical atmosphere' and 'whimsical charm' described.", "score_1": 3, "score_2": 7}, {"name": "Composition & Depth", "reason_1": "Video 1 uses a flat, medium shot with little depth or interesting framing.", "reason_2": "Video 2 utilizes the lace curtains in the foreground to create a sense of depth and intimacy, enhancing the aesthetic appeal.", "score_1": 3, "score_2": 7}, {"name": "Camera Movement (Pull Back)", "reason_1": "Video 1 has a static camera that does not pull back as requested.", "reason_2": "Video 2 has a very subtle push-in or static hold, also failing to execute the requested 'pull back' camera move.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 successfully establishes the 'magical' and 'whimsical' mood through superior lighting and composition, whereas Video 1 feels flatter and less atmospheric.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, accurate rendering of the 'vintage' and 'stitched' attributes, and successful creation of the requested 'magical atmosphere' with intricate lighting. While Video 1 attempts the specific motion instructions (stretching), it suffers from severe morphological distortion and fails to capture the specific aesthetic details (worn fur, lace curtains) as effectively as Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 64.042} +{"pair_id": "093_seed_930", "sample_index": 93, "seed": 930, "prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_930_A vintage teddy bear with worn fur and a stitched.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_930_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_930_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_930_A vintage teddy bear with worn fur and a stitched.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Vintage/Worn/Stitched)\", \"reason_1\": \"Video 1 generates a bear that looks like a modern, clean, 3D animated character (resembling the movie 'Ted'), completely missing the 'vintage' and 'worn' descriptors.\", \"reason_2\": \"Video 2 perfectly renders a bear with realistic, worn fur texture and a visible stitched nose/mouth, aligning precisely with the 'vintage' prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Lace Curtains & Patterns)\", \"reason_1\": \"Video 1 features generic sheer curtains but lacks the specific 'delicate lace' texture and the resulting intricate light patterns requested.\", \"reason_2\": \"Video 2 prominently features heavy lace curtains that diffuse the light beautifully, creating the requested soft, patterned atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Execution (Stretching & Animation)\", \"reason_1\": \"Video 1 shows the bear waving and talking, which is a form of animation, but it feels more like a character performance than the specific 'stretching' described.\", \"reason_2\": \"Video 2 depicts the bear rising and stretching its limbs in a way that feels like a toy coming to life, fitting the 'newfound animation' description well.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately captures the specific descriptive adjectives of the prompt (vintage, worn, stitched), whereas Video 1 ignores them in favor of a generic cartoon style.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Rendering (Fur & Fabric)\", \"reason_1\": \"The fur in Video 1 appears smooth and plastic-like, lacking the tactile depth of real fabric or fur.\", \"reason_2\": \"Video 2 displays exceptional texture quality; the fur looks soft and matted (worn), and the quilt fabric has realistic weave details.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Interaction & Volumetrics\", \"reason_1\": \"Lighting in Video 1 is flat and uniform, failing to capture the 'golden sunlight' streaming through curtains.\", \"reason_2\": \"Video 2 features complex lighting with bloom and diffusion through the lace, creating a realistic and dynamic interplay of light and shadow.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion in Video 1 is smooth but feels like standard character rigging.\", \"reason_2\": \"The motion in Video 2 has a slight stiffness that actually enhances the realism of a 'toy coming to life' rather than a human actor.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior rendering of textures and lighting interactions, creating a believable physical presence compared to the flatter, digital look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Magical/Whimsical)\", \"reason_1\": \"Video 1 feels like a standard sitcom or movie clip, lacking the 'magical' or 'enchanting' mood.\", \"reason_2\": \"Video 2 uses soft focus, warm lighting, and a pastel color palette to successfully evoke a dreamy, magical atmosphere.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Pull Back)\", \"reason_1\": \"Video 1 has a mostly static camera with slight handheld shake, missing the 'slowly pulls back' instruction.\", \"reason_2\": \"Video 2 executes a smooth, slow pull-back (dolly out) that reveals more of the bed and curtains, perfectly matching the prompt's direction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony (Pastel/Golden)\", \"reason_1\": \"The colors in Video 1 are somewhat saturated and standard, lacking the specific 'pastel' softness requested.\", \"reason_2\": \"Video 2 utilizes a cohesive palette of soft pinks, creams, and warm golds, strictly adhering to the 'pastel' and 'golden' requirements.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 excels in establishing the 'magical' and 'whimsical' mood through superior color grading and camera work, whereas Video 1 feels like a standard clip.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully adheres to the specific aesthetic constraints of the prompt, particularly the 'vintage,' 'worn,' and 'stitched' attributes of the bear, which Video 1 fails to capture (rendering a modern, cartoon-like character instead). Furthermore, Video 2 successfully executes the requested camera movement (pull back) and lighting atmosphere (golden sunlight through lace), creating the desired magical mood.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Vintage/Worn/Stitched)", "reason_1": "Video 1 generates a bear that looks like a modern, clean, 3D animated character (resembling the movie 'Ted'), completely missing the 'vintage' and 'worn' descriptors.", "reason_2": "Video 2 perfectly renders a bear with realistic, worn fur texture and a visible stitched nose/mouth, aligning precisely with the 'vintage' prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Lace Curtains & Patterns)", "reason_1": "Video 1 features generic sheer curtains but lacks the specific 'delicate lace' texture and the resulting intricate light patterns requested.", "reason_2": "Video 2 prominently features heavy lace curtains that diffuse the light beautifully, creating the requested soft, patterned atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Action Execution (Stretching & Animation)", "reason_1": "Video 1 shows the bear waving and talking, which is a form of animation, but it feels more like a character performance than the specific 'stretching' described.", "reason_2": "Video 2 depicts the bear rising and stretching its limbs in a way that feels like a toy coming to life, fitting the 'newfound animation' description well.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately captures the specific descriptive adjectives of the prompt (vintage, worn, stitched), whereas Video 1 ignores them in favor of a generic cartoon style.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Rendering (Fur & Fabric)", "reason_1": "The fur in Video 1 appears smooth and plastic-like, lacking the tactile depth of real fabric or fur.", "reason_2": "Video 2 displays exceptional texture quality; the fur looks soft and matted (worn), and the quilt fabric has realistic weave details.", "score_1": 3, "score_2": 7}, {"name": "Lighting Interaction & Volumetrics", "reason_1": "Lighting in Video 1 is flat and uniform, failing to capture the 'golden sunlight' streaming through curtains.", "reason_2": "Video 2 features complex lighting with bloom and diffusion through the lace, creating a realistic and dynamic interplay of light and shadow.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness", "reason_1": "The motion in Video 1 is smooth but feels like standard character rigging.", "reason_2": "The motion in Video 2 has a slight stiffness that actually enhances the realism of a 'toy coming to life' rather than a human actor.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior rendering of textures and lighting interactions, creating a believable physical presence compared to the flatter, digital look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Magical/Whimsical)", "reason_1": "Video 1 feels like a standard sitcom or movie clip, lacking the 'magical' or 'enchanting' mood.", "reason_2": "Video 2 uses soft focus, warm lighting, and a pastel color palette to successfully evoke a dreamy, magical atmosphere.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Pull Back)", "reason_1": "Video 1 has a mostly static camera with slight handheld shake, missing the 'slowly pulls back' instruction.", "reason_2": "Video 2 executes a smooth, slow pull-back (dolly out) that reveals more of the bed and curtains, perfectly matching the prompt's direction.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony (Pastel/Golden)", "reason_1": "The colors in Video 1 are somewhat saturated and standard, lacking the specific 'pastel' softness requested.", "reason_2": "Video 2 utilizes a cohesive palette of soft pinks, creams, and warm golds, strictly adhering to the 'pastel' and 'golden' requirements.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 excels in establishing the 'magical' and 'whimsical' mood through superior color grading and camera work, whereas Video 1 feels like a standard clip.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully adheres to the specific aesthetic constraints of the prompt, particularly the 'vintage,' 'worn,' and 'stitched' attributes of the bear, which Video 1 fails to capture (rendering a modern, cartoon-like character instead). Furthermore, Video 2 successfully executes the requested camera movement (pull back) and lighting atmosphere (golden sunlight through lace), creating the desired magical mood.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 64.312} +{"pair_id": "094_seed_42", "sample_index": 94, "seed": 42, "prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Fidelity (Web & Droplets)\", \"reason_1\": \"Video 1 renders a realistic, intricate spider web with distinct, spherical water droplets that look physically accurate.\", \"reason_2\": \"Video 2 renders the web as a thick, glowing lattice and the 'droplets' as flat, heart-shaped blobs, failing to capture the 'delicate' nature of the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Concept Integration (Galaxies within Droplets)\", \"reason_1\": \"Video 1 interprets the prompt by placing the galaxy in the background behind the web, rather than strictly 'within' the droplets, but the visual result is coherent.\", \"reason_2\": \"Video 2 attempts to place a galaxy in the center, but the execution is messy and the galaxy appears disconnected from the web structure.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Atmospheric Lighting (Dim & Ethereal)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'mysterious' atmosphere with high contrast and deep blacks.\", \"reason_2\": \"Video 2 is washed out with a bright, flat purple hue that lacks the requested mystery and depth.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately depicts the 'delicate water droplets' and 'intricately woven web' with high fidelity. Video 2 fails to render realistic droplets, producing artificial heart-shaped blobs instead.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear definition between the web strands and the background stars.\", \"reason_2\": \"The video is blurry, low-resolution, and lacks fine detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The web structure remains solid and consistent throughout the zoom.\", \"reason_2\": \"The web strands and droplets warp and morph unnaturally as the camera moves.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera zoom is smooth and cinematic.\", \"reason_2\": \"The motion feels jittery and the frame rate appears inconsistent.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade resolution and stability. Video 2 suffers from blurriness, artifacts, and unstable geometry.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition is beautiful, evoking a sense of wonder and cosmic scale.\", \"reason_2\": \"The visual style is unappealing, resembling a low-quality filter or glitch art.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"Uses a sophisticated palette of deep blues, blacks, and starlight whites.\", \"reason_2\": \"Uses a monochromatic, oversaturated purple tint that flattens the image.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing centers the web effectively, using the zoom to draw the eye inward.\", \"reason_2\": \"The composition is cluttered and lacks a clear focal point due to the messy rendering.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a stunning, wallpaper-worthy visual that feels 'breathtaking' as requested. Video 2 lacks aesthetic appeal due to its poor color grading and artificial style.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Surreal Concept Execution\", \"dims\": [{\"name\": \"Macro-Universal Fusion\", \"reason_1\": \"Successfully blends the scale of a macro shot with the vastness of space, creating a believable 'cosmic canvas'.\", \"reason_2\": \"Fails to blend the scales; the galaxy looks like a sticker pasted on a low-res background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Ethereal Glow & Shimmer\", \"reason_1\": \"The light interacts realistically with the web strands, creating the requested 'glistening' effect.\", \"reason_2\": \"The glow is flat and uniform, lacking the dynamic 'shimmer' described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Interpretation of 'Cosmic Dance'\", \"reason_1\": \"While the galaxy is mostly static, the twinkling stars and subtle web movement imply a cosmic presence.\", \"reason_2\": \"The central galaxy spins, but the motion is jerky and lacks the elegance of a 'dance'.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"This personalized category evaluates the specific 'fusion of nature and universe' requested. Video 1 achieves a seamless blend, while Video 2 feels disjointed.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in visual fidelity, realism, and aesthetic beauty. It successfully renders a photorealistic spider web with convincing water droplets against a high-quality cosmic background, capturing the 'ethereal' and 'mesmerizing' mood perfectly. Video 2 suffers from low resolution, unnatural geometry (heart-shaped droplets), and a washed-out color palette that fails to convey the requested mystery or beauty.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Fidelity (Web & Droplets)", "reason_1": "Video 1 renders a realistic, intricate spider web with distinct, spherical water droplets that look physically accurate.", "reason_2": "Video 2 renders the web as a thick, glowing lattice and the 'droplets' as flat, heart-shaped blobs, failing to capture the 'delicate' nature of the prompt.", "score_1": 9, "score_2": 1}, {"name": "Concept Integration (Galaxies within Droplets)", "reason_1": "Video 1 interprets the prompt by placing the galaxy in the background behind the web, rather than strictly 'within' the droplets, but the visual result is coherent.", "reason_2": "Video 2 attempts to place a galaxy in the center, but the execution is messy and the galaxy appears disconnected from the web structure.", "score_1": 6, "score_2": 4}, {"name": "Atmospheric Lighting (Dim & Ethereal)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'mysterious' atmosphere with high contrast and deep blacks.", "reason_2": "Video 2 is washed out with a bright, flat purple hue that lacks the requested mystery and depth.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately depicts the 'delicate water droplets' and 'intricately woven web' with high fidelity. Video 2 fails to render realistic droplets, producing artificial heart-shaped blobs instead.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear definition between the web strands and the background stars.", "reason_2": "The video is blurry, low-resolution, and lacks fine detail.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "The web structure remains solid and consistent throughout the zoom.", "reason_2": "The web strands and droplets warp and morph unnaturally as the camera moves.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The camera zoom is smooth and cinematic.", "reason_2": "The motion feels jittery and the frame rate appears inconsistent.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade resolution and stability. Video 2 suffers from blurriness, artifacts, and unstable geometry.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The composition is beautiful, evoking a sense of wonder and cosmic scale.", "reason_2": "The visual style is unappealing, resembling a low-quality filter or glitch art.", "score_1": 9, "score_2": 1}, {"name": "Color Harmony & Grading", "reason_1": "Uses a sophisticated palette of deep blues, blacks, and starlight whites.", "reason_2": "Uses a monochromatic, oversaturated purple tint that flattens the image.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition", "reason_1": "The framing centers the web effectively, using the zoom to draw the eye inward.", "reason_2": "The composition is cluttered and lacks a clear focal point due to the messy rendering.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a stunning, wallpaper-worthy visual that feels 'breathtaking' as requested. Video 2 lacks aesthetic appeal due to its poor color grading and artificial style.", "cat_winner": "Video 1"}, {"name": "D. Surreal Concept Execution", "dims": [{"name": "Macro-Universal Fusion", "reason_1": "Successfully blends the scale of a macro shot with the vastness of space, creating a believable 'cosmic canvas'.", "reason_2": "Fails to blend the scales; the galaxy looks like a sticker pasted on a low-res background.", "score_1": 8, "score_2": 2}, {"name": "Ethereal Glow & Shimmer", "reason_1": "The light interacts realistically with the web strands, creating the requested 'glistening' effect.", "reason_2": "The glow is flat and uniform, lacking the dynamic 'shimmer' described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Interpretation of 'Cosmic Dance'", "reason_1": "While the galaxy is mostly static, the twinkling stars and subtle web movement imply a cosmic presence.", "reason_2": "The central galaxy spins, but the motion is jerky and lacks the elegance of a 'dance'.", "score_1": 6, "score_2": 4}], "cat_reason": "This personalized category evaluates the specific 'fusion of nature and universe' requested. Video 1 achieves a seamless blend, while Video 2 feels disjointed.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in visual fidelity, realism, and aesthetic beauty. It successfully renders a photorealistic spider web with convincing water droplets against a high-quality cosmic background, capturing the 'ethereal' and 'mesmerizing' mood perfectly. Video 2 suffers from low resolution, unnatural geometry (heart-shaped droplets), and a washed-out color palette that fails to convey the requested mystery or beauty.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 97.0, "total_score_2": 23.0, "elapsed_sec": 70.446} +{"pair_id": "094_seed_310", "sample_index": 94, "seed": 310, "prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_310_In a mesmerizing macro view delicate water droplet.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_310_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_310_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_310_In a mesmerizing macro view delicate water droplet.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition (Web & Droplets)\", \"reason_1\": \"Video 1 clearly renders the spider web strands and the spherical water droplets clinging to them.\", \"reason_2\": \"Video 2 presents a blurry, abstract texture where neither the web strands nor the droplets are clearly defined or recognizable.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Transformation Logic (Galaxies Within)\", \"reason_1\": \"Video 1 interprets the prompt by placing a galaxy in the center of the web tunnel, rather than inside the droplets, but it successfully includes the 'swirling galaxy' element.\", \"reason_2\": \"Video 2 shows a vague, blurry light source in the center that vaguely resembles a galaxy but lacks any distinct detail or transformation logic.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Atmosphere (Dim & Ethereal)\", \"reason_1\": \"Video 1 captures the 'dimly lit' and 'mysterious' atmosphere with high contrast and glowing highlights.\", \"reason_2\": \"Video 2 has a washed-out, purple-tinted palette that lacks the depth and mystery requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the primary subjects (web and droplets) and the environmental context. Video 2 fails to render distinct subjects, resulting in an abstract blur.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Macro Visual Fidelity\", \"reason_1\": \"The video maintains high sharpness and clarity, appropriate for a 'macro view'.\", \"reason_2\": \"The video is extremely blurry and lacks focus, failing the basic technical requirement of a macro shot.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Structural Stability (Web Geometry)\", \"reason_1\": \"The web structure remains consistent and geometrically sound throughout the camera movement.\", \"reason_2\": \"The structure is amorphous and unstable, appearing more like shifting noise than a woven web.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Reflection Quality\", \"reason_1\": \"Video 1 features realistic specular highlights on the droplets, simulating the 'shimmering' effect.\", \"reason_2\": \"Video 2 lacks distinct lighting interactions; the image is flat and muddy.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior technical execution with sharp focus and stable geometry. Video 2 suffers from severe blurriness and lack of definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Depth (Tunnel Effect)\", \"reason_1\": \"Video 1 utilizes a strong central perspective (tunnel composition) that draws the eye inward, enhancing the 'zoom' effect.\", \"reason_2\": \"Video 2 lacks a clear focal point or depth, resulting in a flat and unengaging composition.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Aesthetic Appeal (Mesmerizing Quality)\", \"reason_1\": \"The combination of the web pattern and the central galaxy creates a visually striking and 'mesmerizing' image.\", \"reason_2\": \"The visual is confusing and lacks aesthetic polish, failing to evoke the 'enchanting' mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Intent\", \"reason_1\": \"The camera movement feels like a deliberate, smooth push-in towards the center.\", \"reason_2\": \"The motion feels like a slow, indistinct drift without clear direction or purpose.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a compelling visual experience with strong composition and depth. Video 2 fails to engage due to its lack of clarity.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully renders a high-fidelity macro scene with a distinct spider web structure and water droplets, creating a strong sense of depth and atmosphere. While it interprets the 'galaxy within' prompt by placing a galaxy in the center of the web tunnel rather than strictly inside the droplets, it maintains high visual coherence and aesthetic appeal. Video 2, by contrast, is excessively blurry and abstract, failing to clearly define the web or the droplets, and lacks the visual clarity required for a 'mesmerizing macro view'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition (Web & Droplets)", "reason_1": "Video 1 clearly renders the spider web strands and the spherical water droplets clinging to them.", "reason_2": "Video 2 presents a blurry, abstract texture where neither the web strands nor the droplets are clearly defined or recognizable.", "score_1": 9, "score_2": 1}, {"name": "Transformation Logic (Galaxies Within)", "reason_1": "Video 1 interprets the prompt by placing a galaxy in the center of the web tunnel, rather than inside the droplets, but it successfully includes the 'swirling galaxy' element.", "reason_2": "Video 2 shows a vague, blurry light source in the center that vaguely resembles a galaxy but lacks any distinct detail or transformation logic.", "score_1": 6, "score_2": 4}, {"name": "Environmental Atmosphere (Dim & Ethereal)", "reason_1": "Video 1 captures the 'dimly lit' and 'mysterious' atmosphere with high contrast and glowing highlights.", "reason_2": "Video 2 has a washed-out, purple-tinted palette that lacks the depth and mystery requested by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the primary subjects (web and droplets) and the environmental context. Video 2 fails to render distinct subjects, resulting in an abstract blur.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Macro Visual Fidelity", "reason_1": "The video maintains high sharpness and clarity, appropriate for a 'macro view'.", "reason_2": "The video is extremely blurry and lacks focus, failing the basic technical requirement of a macro shot.", "score_1": 9, "score_2": 1}, {"name": "Structural Stability (Web Geometry)", "reason_1": "The web structure remains consistent and geometrically sound throughout the camera movement.", "reason_2": "The structure is amorphous and unstable, appearing more like shifting noise than a woven web.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Reflection Quality", "reason_1": "Video 1 features realistic specular highlights on the droplets, simulating the 'shimmering' effect.", "reason_2": "Video 2 lacks distinct lighting interactions; the image is flat and muddy.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior technical execution with sharp focus and stable geometry. Video 2 suffers from severe blurriness and lack of definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Depth (Tunnel Effect)", "reason_1": "Video 1 utilizes a strong central perspective (tunnel composition) that draws the eye inward, enhancing the 'zoom' effect.", "reason_2": "Video 2 lacks a clear focal point or depth, resulting in a flat and unengaging composition.", "score_1": 9, "score_2": 1}, {"name": "Aesthetic Appeal (Mesmerizing Quality)", "reason_1": "The combination of the web pattern and the central galaxy creates a visually striking and 'mesmerizing' image.", "reason_2": "The visual is confusing and lacks aesthetic polish, failing to evoke the 'enchanting' mood.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Intent", "reason_1": "The camera movement feels like a deliberate, smooth push-in towards the center.", "reason_2": "The motion feels like a slow, indistinct drift without clear direction or purpose.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a compelling visual experience with strong composition and depth. Video 2 fails to engage due to its lack of clarity.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully renders a high-fidelity macro scene with a distinct spider web structure and water droplets, creating a strong sense of depth and atmosphere. While it interprets the 'galaxy within' prompt by placing a galaxy in the center of the web tunnel rather than strictly inside the droplets, it maintains high visual coherence and aesthetic appeal. Video 2, by contrast, is excessively blurry and abstract, failing to clearly define the web or the droplets, and lacks the visual clarity required for a 'mesmerizing macro view'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 58.183} +{"pair_id": "094_seed_930", "sample_index": 94, "seed": 930, "prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_930_In a mesmerizing macro view delicate water droplet.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_930_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_930_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_930_In a mesmerizing macro view delicate water droplet.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Fidelity (Web & Droplets)\", \"reason_1\": \"Video 1 renders the web as a chaotic, blurry mesh and the droplets as dark, undefined blobs.\", \"reason_2\": \"Video 2 renders a highly detailed, realistic spider web with distinct, clear water droplets.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Adherence (Zoom & Transformation)\", \"reason_1\": \"Video 1 attempts the requested camera zoom and dynamic changes, although the execution is technically flawed.\", \"reason_2\": \"Video 2 is essentially a static shot and fails to execute the requested 'zoom in' or 'transformation' sequence.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Ethereal & Dim)\", \"reason_1\": \"Video 1 has a muddy, brownish color palette that lacks the requested ethereal or mysterious quality.\", \"reason_2\": \"Video 2 perfectly captures the 'dimly lit,' 'ethereal glow,' and 'mysterious light' described in the prompt.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 accurately depicts the primary subjects (web, droplets) and the atmospheric requirements (ethereal, dimly lit). Video 1 fails to render a recognizable web or realistic droplets, despite attempting the camera movement.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The video is extremely blurry, pixelated, and lacks any definition.\", \"reason_2\": \"The image is crisp, sharp, and high-resolution, suitable for a macro shot.\", \"score_1\": 0, \"score_2\": 10}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The web and droplets constantly morph, melt, and distort in a hallucinatory manner.\", \"reason_2\": \"The web structure and droplets remain solid and consistent throughout the clip.\", \"score_1\": 0, \"score_2\": 10}, {\"name\": \"Physics & Material Realism\", \"reason_1\": \"The droplets behave like viscous sludge or digital noise rather than water.\", \"reason_2\": \"The water droplets exhibit realistic surface tension and light refraction.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 demonstrates professional-grade visual quality with perfect stability. Video 1 suffers from severe artifacts, blurring, and temporal incoherence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual experience is unpleasant due to the heavy distortion and lack of clarity.\", \"reason_2\": \"The composition is beautiful, balanced, and visually engaging.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"Lighting is flat and colors are muddy and unappealing.\", \"reason_2\": \"Uses a sophisticated color palette with soft purples and warm highlights that enhance the 'cosmic' feel.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is chaotic and the subject is often obscured by blur.\", \"reason_2\": \"The web is centered and framed well to show the intricate details.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 presents a beautiful, wallpaper-worthy composition with excellent lighting. Video 1 is visually unappealing and messy.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Conceptual Interpretation: Nature vs. Cosmos\", \"dims\": [{\"name\": \"Cosmic Imagery Integration\", \"reason_1\": \"Video 1 attempts to show swirling motion inside the droplets, which aligns with the 'galaxy' prompt, but the execution is too poor to be effective.\", \"reason_2\": \"Video 2 relies on lighting and background bokeh to suggest a cosmic atmosphere, rather than literal galaxies inside droplets.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Fusion of Elements\", \"reason_1\": \"Fails to fuse the elements; the result looks like a corrupted video file rather than a magical transformation.\", \"reason_2\": \"Successfully fuses the concept of a spider web with a celestial, magical mood.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Interpretive Elegance\", \"reason_1\": \"The interpretation is literal but technically broken, resulting in a jarring experience.\", \"reason_2\": \"The interpretation is subtle and artistic, prioritizing beauty over literal instruction following.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"While Video 1 attempts the literal 'swirling galaxies' inside droplets, the result is unrecognizable. Video 2 interprets the prompt more atmospherically, creating a 'cosmic' feel through lighting and background, which is far more successful.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, stability, and aesthetic beauty. It successfully renders a photorealistic macro shot of a spider web with water droplets and captures the requested 'ethereal' and 'dimly lit' atmosphere perfectly. While it misses the specific 'transformation' action (remaining largely static), Video 1's attempt at the transformation results in severe visual distortion, morphing artifacts, and a lack of structural coherence, making it visually unusable compared to the polished output of Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Fidelity (Web & Droplets)", "reason_1": "Video 1 renders the web as a chaotic, blurry mesh and the droplets as dark, undefined blobs.", "reason_2": "Video 2 renders a highly detailed, realistic spider web with distinct, clear water droplets.", "score_1": 1, "score_2": 9}, {"name": "Action Adherence (Zoom & Transformation)", "reason_1": "Video 1 attempts the requested camera zoom and dynamic changes, although the execution is technically flawed.", "reason_2": "Video 2 is essentially a static shot and fails to execute the requested 'zoom in' or 'transformation' sequence.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Ethereal & Dim)", "reason_1": "Video 1 has a muddy, brownish color palette that lacks the requested ethereal or mysterious quality.", "reason_2": "Video 2 perfectly captures the 'dimly lit,' 'ethereal glow,' and 'mysterious light' described in the prompt.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 accurately depicts the primary subjects (web, droplets) and the atmospheric requirements (ethereal, dimly lit). Video 1 fails to render a recognizable web or realistic droplets, despite attempting the camera movement.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Clarity", "reason_1": "The video is extremely blurry, pixelated, and lacks any definition.", "reason_2": "The image is crisp, sharp, and high-resolution, suitable for a macro shot.", "score_1": 0, "score_2": 10}, {"name": "Morphological Stability", "reason_1": "The web and droplets constantly morph, melt, and distort in a hallucinatory manner.", "reason_2": "The web structure and droplets remain solid and consistent throughout the clip.", "score_1": 0, "score_2": 10}, {"name": "Physics & Material Realism", "reason_1": "The droplets behave like viscous sludge or digital noise rather than water.", "reason_2": "The water droplets exhibit realistic surface tension and light refraction.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 demonstrates professional-grade visual quality with perfect stability. Video 1 suffers from severe artifacts, blurring, and temporal incoherence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The visual experience is unpleasant due to the heavy distortion and lack of clarity.", "reason_2": "The composition is beautiful, balanced, and visually engaging.", "score_1": 1, "score_2": 9}, {"name": "Lighting & Color Harmony", "reason_1": "Lighting is flat and colors are muddy and unappealing.", "reason_2": "Uses a sophisticated color palette with soft purples and warm highlights that enhance the 'cosmic' feel.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is chaotic and the subject is often obscured by blur.", "reason_2": "The web is centered and framed well to show the intricate details.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 presents a beautiful, wallpaper-worthy composition with excellent lighting. Video 1 is visually unappealing and messy.", "cat_winner": "Video 2"}, {"name": "D. Conceptual Interpretation: Nature vs. Cosmos", "dims": [{"name": "Cosmic Imagery Integration", "reason_1": "Video 1 attempts to show swirling motion inside the droplets, which aligns with the 'galaxy' prompt, but the execution is too poor to be effective.", "reason_2": "Video 2 relies on lighting and background bokeh to suggest a cosmic atmosphere, rather than literal galaxies inside droplets.", "score_1": 6, "score_2": 4}, {"name": "Fusion of Elements", "reason_1": "Fails to fuse the elements; the result looks like a corrupted video file rather than a magical transformation.", "reason_2": "Successfully fuses the concept of a spider web with a celestial, magical mood.", "score_1": 2, "score_2": 8}, {"name": "Interpretive Elegance", "reason_1": "The interpretation is literal but technically broken, resulting in a jarring experience.", "reason_2": "The interpretation is subtle and artistic, prioritizing beauty over literal instruction following.", "score_1": 2, "score_2": 8}], "cat_reason": "While Video 1 attempts the literal 'swirling galaxies' inside droplets, the result is unrecognizable. Video 2 interprets the prompt more atmospherically, creating a 'cosmic' feel through lighting and background, which is far more successful.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, stability, and aesthetic beauty. It successfully renders a photorealistic macro shot of a spider web with water droplets and captures the requested 'ethereal' and 'dimly lit' atmosphere perfectly. While it misses the specific 'transformation' action (remaining largely static), Video 1's attempt at the transformation results in severe visual distortion, morphing artifacts, and a lack of structural coherence, making it visually unusable compared to the polished output of Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 95.0, "elapsed_sec": 70.04} +{"pair_id": "095_seed_42", "sample_index": 95, "seed": 42, "prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_42_The camera begins its ascent from a bustling urban.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_42_The camera begins its ascent from a bustling urban.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_42_The camera begins its ascent from a bustling urban.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_42_The camera begins its ascent from a bustling urban.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory (Ascent from Street)\", \"reason_1\": \"Video 1 starts high and moves forward/vertically, failing to capture the 'ascent from a bustling urban street' perspective.\", \"reason_2\": \"Video 2 perfectly executes the prompt's instruction, starting at street level and rising vertically to reveal the city.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Rain & Reflections)\", \"reason_1\": \"Video 1 shows wet surfaces, but the reflections are muddy and lack the specific 'colorful' quality requested.\", \"reason_2\": \"Video 2 renders distinct, realistic reflections of streetlights on the wet pavement, matching the 'rain-slicked' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Transition (Warm to Cool)\", \"reason_1\": \"Video 1 is predominantly dark and cool-toned throughout, missing the 'warm hues of sunset' starting point.\", \"reason_2\": \"Video 2 captures the transition from the warmer, brighter street lights to the cool blue twilight of the upper cityscape.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Presence (Pedestrians & Cars)\", \"reason_1\": \"Video 1 shows cars, but pedestrians are indistinguishable blurs.\", \"reason_2\": \"Video 2 clearly depicts the 'vibrant energy' of both moving cars and pedestrians on the crosswalks at the start.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly interprets the spatial and temporal progression of the prompt, starting low and moving high. Video 1 fails the fundamental camera movement instruction.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and lacks definition, resembling a low-quality generation.\", \"reason_2\": \"The video is sharp, with clear edges on buildings and distinct details on the street level.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Structural Stability (Geometry)\", \"reason_1\": \"Buildings and cars appear to warp and lose shape as the camera moves.\", \"reason_2\": \"The geometry of the buildings and streets remains solid and consistent throughout the ascent.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion feels slightly jerky and unnatural.\", \"reason_2\": \"The camera movement is smooth and cinematic, mimicking a professional crane or drone shot.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a crisp, high-resolution image with stable geometry. Video 1 is plagued by blurriness and low fidelity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition (The Reveal)\", \"reason_1\": \"The framing is tight and claustrophobic, failing to show the 'intricate network of streets' effectively.\", \"reason_2\": \"The wide-angle ascent creates a grand sense of scale, effectively revealing the cityscape as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Mood (Mesmerizing Tapestry)\", \"reason_1\": \"The atmosphere is dark and muddy, lacking the 'mesmerizing' quality.\", \"reason_2\": \"The contrast between the street lights and the blue sky creates a vibrant, atmospheric mood that fits the prompt well.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression (Day to Night)\", \"reason_1\": \"There is no clear narrative progression; the scene remains static in its lighting state.\", \"reason_2\": \"The video successfully conveys the passage of time and the shift in the city's energy from day/late afternoon to night.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 delivers a cinematic 'reveal' that matches the narrative arc of the prompt, whereas Video 1 feels like a random, low-quality clip.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the specific camera movement (ascent from street level) and environmental details (rain reflections, lighting transition) requested in the prompt. Video 1 fails to start at street level, suffers from significant blur, and lacks the requested visual clarity and narrative progression.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory (Ascent from Street)", "reason_1": "Video 1 starts high and moves forward/vertically, failing to capture the 'ascent from a bustling urban street' perspective.", "reason_2": "Video 2 perfectly executes the prompt's instruction, starting at street level and rising vertically to reveal the city.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Rain & Reflections)", "reason_1": "Video 1 shows wet surfaces, but the reflections are muddy and lack the specific 'colorful' quality requested.", "reason_2": "Video 2 renders distinct, realistic reflections of streetlights on the wet pavement, matching the 'rain-slicked' description.", "score_1": 3, "score_2": 7}, {"name": "Lighting Transition (Warm to Cool)", "reason_1": "Video 1 is predominantly dark and cool-toned throughout, missing the 'warm hues of sunset' starting point.", "reason_2": "Video 2 captures the transition from the warmer, brighter street lights to the cool blue twilight of the upper cityscape.", "score_1": 2, "score_2": 8}, {"name": "Subject Presence (Pedestrians & Cars)", "reason_1": "Video 1 shows cars, but pedestrians are indistinguishable blurs.", "reason_2": "Video 2 clearly depicts the 'vibrant energy' of both moving cars and pedestrians on the crosswalks at the start.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly interprets the spatial and temporal progression of the prompt, starting low and moving high. Video 1 fails the fundamental camera movement instruction.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and lacks definition, resembling a low-quality generation.", "reason_2": "The video is sharp, with clear edges on buildings and distinct details on the street level.", "score_1": 2, "score_2": 8}, {"name": "Structural Stability (Geometry)", "reason_1": "Buildings and cars appear to warp and lose shape as the camera moves.", "reason_2": "The geometry of the buildings and streets remains solid and consistent throughout the ascent.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness", "reason_1": "The motion feels slightly jerky and unnatural.", "reason_2": "The camera movement is smooth and cinematic, mimicking a professional crane or drone shot.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a crisp, high-resolution image with stable geometry. Video 1 is plagued by blurriness and low fidelity.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition (The Reveal)", "reason_1": "The framing is tight and claustrophobic, failing to show the 'intricate network of streets' effectively.", "reason_2": "The wide-angle ascent creates a grand sense of scale, effectively revealing the cityscape as requested.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Mood (Mesmerizing Tapestry)", "reason_1": "The atmosphere is dark and muddy, lacking the 'mesmerizing' quality.", "reason_2": "The contrast between the street lights and the blue sky creates a vibrant, atmospheric mood that fits the prompt well.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression (Day to Night)", "reason_1": "There is no clear narrative progression; the scene remains static in its lighting state.", "reason_2": "The video successfully conveys the passage of time and the shift in the city's energy from day/late afternoon to night.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 delivers a cinematic 'reveal' that matches the narrative arc of the prompt, whereas Video 1 feels like a random, low-quality clip.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the specific camera movement (ascent from street level) and environmental details (rain reflections, lighting transition) requested in the prompt. Video 1 fails to start at street level, suffers from significant blur, and lacks the requested visual clarity and narrative progression.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 74.0, "elapsed_sec": 60.236} +{"pair_id": "095_seed_310", "sample_index": 95, "seed": 310, "prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_310_The camera begins its ascent from a bustling urban.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_310_The camera begins its ascent from a bustling urban.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_310_The camera begins its ascent from a bustling urban.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_310_The camera begins its ascent from a bustling urban.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory (Ascent & Reveal)\", \"reason_1\": \"Video 1 executes a clear vertical ascent, starting from the street level and rising to reveal the building facade and sky, matching the prompt's core action.\", \"reason_2\": \"Video 2 is essentially a static shot with no perceptible vertical ascent or change in perspective.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Rain & Reflections)\", \"reason_1\": \"Video 1 clearly depicts the 'rain-slicked pavements' with distinct, colorful reflections of the streetlights, creating the requested atmosphere.\", \"reason_2\": \"Video 2 shows a wet surface, but the reflections are muddy and lack the distinct 'colorful' quality requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Presence (Bustling Energy)\", \"reason_1\": \"Video 1 includes visible cars and pedestrians, attempting to capture the 'vibrant energy' and 'bustling' nature of the street.\", \"reason_2\": \"Video 2 depicts a largely empty street with no discernible pedestrians or active traffic, failing the 'bustling' requirement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting Transition (Warm to Cool)\", \"reason_1\": \"Video 1 maintains a consistent lighting tone and does not effectively show the requested transition from warm sunset hues to cool twilight blues.\", \"reason_2\": \"Video 2 also fails to show a transition, remaining in a static blue-tinted night setting throughout.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 follows the critical instruction of camera movement (ascent) and environmental details (rain, traffic), whereas Video 2 ignores the movement and lacks the requested subject activity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is quite blurry and low-resolution, with significant loss of detail in the background elements.\", \"reason_2\": \"Video 2 is significantly sharper and cleaner, with better definition of the buildings and lights.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"Video 1 exhibits some jitter and warping artifacts as the camera moves upward.\", \"reason_2\": \"Video 2 is very stable, though this is largely due to the lack of significant camera movement.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Lighting Realism\", \"reason_1\": \"The lighting in Video 1, particularly the reflections on the wet asphalt, feels physically plausible and grounded.\", \"reason_2\": \"The lighting in Video 2 feels somewhat flat and artificial, lacking the dynamic contrast expected of a city night scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 offers a cleaner, sharper image with less noise, whereas Video 1 suffers from blurriness and lower resolution, despite having better motion dynamics.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Camera Movement\", \"reason_1\": \"Video 1 utilizes a dynamic tilt-up/boom-up shot that effectively changes the viewer's perspective, adding cinematic value.\", \"reason_2\": \"Video 2 lacks any cinematic camera movement, resulting in a static and unengaging presentation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"The combination of rain, traffic, and the rising camera in Video 1 creates a strong sense of place and immersion.\", \"reason_2\": \"Video 2 feels distant and detached, lacking the immersive 'pulsing with life' quality described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 has a clear beginning (street) and progression (looking up), adhering to the narrative flow of the prompt.\", \"reason_2\": \"Video 2 has no narrative progression; the start and end frames are conceptually identical.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the cinematic intent of the prompt through its camera work, creating a sense of scale and immersion that Video 2 lacks.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner because it successfully attempts the primary narrative and cinematic instruction of the prompt: the camera ascent. It starts at street level, captures the wet pavement and traffic, and physically moves upward to reveal the building facade. Video 2, while having slightly higher image sharpness, is a static shot that completely fails to execute the requested camera movement, the bustling energy, or the transition in perspective.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory (Ascent & Reveal)", "reason_1": "Video 1 executes a clear vertical ascent, starting from the street level and rising to reveal the building facade and sky, matching the prompt's core action.", "reason_2": "Video 2 is essentially a static shot with no perceptible vertical ascent or change in perspective.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Rain & Reflections)", "reason_1": "Video 1 clearly depicts the 'rain-slicked pavements' with distinct, colorful reflections of the streetlights, creating the requested atmosphere.", "reason_2": "Video 2 shows a wet surface, but the reflections are muddy and lack the distinct 'colorful' quality requested.", "score_1": 8, "score_2": 2}, {"name": "Subject Presence (Bustling Energy)", "reason_1": "Video 1 includes visible cars and pedestrians, attempting to capture the 'vibrant energy' and 'bustling' nature of the street.", "reason_2": "Video 2 depicts a largely empty street with no discernible pedestrians or active traffic, failing the 'bustling' requirement.", "score_1": 7, "score_2": 3}, {"name": "Lighting Transition (Warm to Cool)", "reason_1": "Video 1 maintains a consistent lighting tone and does not effectively show the requested transition from warm sunset hues to cool twilight blues.", "reason_2": "Video 2 also fails to show a transition, remaining in a static blue-tinted night setting throughout.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 follows the critical instruction of camera movement (ascent) and environmental details (rain, traffic), whereas Video 2 ignores the movement and lacks the requested subject activity.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is quite blurry and low-resolution, with significant loss of detail in the background elements.", "reason_2": "Video 2 is significantly sharper and cleaner, with better definition of the buildings and lights.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness & Stability", "reason_1": "Video 1 exhibits some jitter and warping artifacts as the camera moves upward.", "reason_2": "Video 2 is very stable, though this is largely due to the lack of significant camera movement.", "score_1": 4, "score_2": 6}, {"name": "Lighting Realism", "reason_1": "The lighting in Video 1, particularly the reflections on the wet asphalt, feels physically plausible and grounded.", "reason_2": "The lighting in Video 2 feels somewhat flat and artificial, lacking the dynamic contrast expected of a city night scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 offers a cleaner, sharper image with less noise, whereas Video 1 suffers from blurriness and lower resolution, despite having better motion dynamics.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Camera Movement", "reason_1": "Video 1 utilizes a dynamic tilt-up/boom-up shot that effectively changes the viewer's perspective, adding cinematic value.", "reason_2": "Video 2 lacks any cinematic camera movement, resulting in a static and unengaging presentation.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Immersion", "reason_1": "The combination of rain, traffic, and the rising camera in Video 1 creates a strong sense of place and immersion.", "reason_2": "Video 2 feels distant and detached, lacking the immersive 'pulsing with life' quality described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Narrative Progression", "reason_1": "Video 1 has a clear beginning (street) and progression (looking up), adhering to the narrative flow of the prompt.", "reason_2": "Video 2 has no narrative progression; the start and end frames are conceptually identical.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the cinematic intent of the prompt through its camera work, creating a sense of scale and immersion that Video 2 lacks.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner because it successfully attempts the primary narrative and cinematic instruction of the prompt: the camera ascent. It starts at street level, captures the wet pavement and traffic, and physically moves upward to reveal the building facade. Video 2, while having slightly higher image sharpness, is a static shot that completely fails to execute the requested camera movement, the bustling energy, or the transition in perspective.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 67.0, "total_score_2": 33.0, "elapsed_sec": 65.863} +{"pair_id": "095_seed_930", "sample_index": 95, "seed": 930, "prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory (Ascent & Reveal)\", \"reason_1\": \"Video 1 attempts an upward motion, but the movement is jerky and the perspective shifts unnaturally, failing to convey a smooth ascent.\", \"reason_2\": \"Video 2 executes a smooth, continuous vertical ascent that logically reveals the cityscape from street level to rooftop view.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Rain & Reflections)\", \"reason_1\": \"The video is too blurry to discern specific textures like rain-slicked pavement or distinct neon reflections.\", \"reason_2\": \"The video clearly renders the wet texture of the road and the colorful reflections of the lights on the ground, matching the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Definition (Cars & Pedestrians)\", \"reason_1\": \"Pedestrians and cars are rendered as indistinct, morphing blobs with no clear anatomical or structural definition.\", \"reason_2\": \"Cars and pedestrians are clearly defined, with recognizable shapes and movement patterns appropriate for the scale.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Transition (Warm to Cool)\", \"reason_1\": \"The lighting is muddy and lacks a distinct transition from warm sunset hues to cool twilight blues.\", \"reason_2\": \"The video effectively captures the contrast between the warm streetlights at the bottom and the cool blue tones of the upper cityscape.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the specific environmental details requested, such as rain-slicked pavements and distinct vehicle/pedestrian forms, whereas Video 1 fails to render these elements with any recognizable clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and low-resolution, making it difficult to identify any details.\", \"reason_2\": \"The video is sharp, clear, and high-resolution, maintaining detail even during the camera movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects constantly morph, stretch, and dissolve; the geometry of the street and buildings is unstable.\", \"reason_2\": \"Buildings, cars, and the road maintain their rigid structures and geometry throughout the camera movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion is jittery and inconsistent, disrupting the viewing experience.\", \"reason_2\": \"The camera movement is fluid and cinematic, simulating a professional drone or crane shot.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains high visual fidelity and stability throughout the clip. Video 1 is plagued by severe artifacts, blurring, and temporal incoherence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is chaotic and lacks a clear focal point or compositional logic.\", \"reason_2\": \"The shot is well-composed, using the street lines to lead the eye upward as the city expands in the background.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"The lack of clarity prevents any real atmosphere from forming; it feels like a glitch rather than a scene.\", \"reason_2\": \"The combination of lighting, reflections, and smooth motion creates a convincing and immersive urban night atmosphere.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy distortion and lack of detail.\", \"reason_2\": \"The video is aesthetically pleasing, with vibrant colors and a polished look.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully creates the 'mesmerizing tapestry' described in the prompt through good composition and lighting. Video 1 fails to evoke any aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every metric. It delivers a high-resolution, coherent, and visually stunning execution of the prompt, featuring a smooth camera ascent, clear environmental details (rain, reflections), and distinct subjects. Video 1 suffers from severe low resolution, extreme blurring, and significant morphological instability, making the scene barely recognizable and failing to meet the basic visual standards required.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory (Ascent & Reveal)", "reason_1": "Video 1 attempts an upward motion, but the movement is jerky and the perspective shifts unnaturally, failing to convey a smooth ascent.", "reason_2": "Video 2 executes a smooth, continuous vertical ascent that logically reveals the cityscape from street level to rooftop view.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Rain & Reflections)", "reason_1": "The video is too blurry to discern specific textures like rain-slicked pavement or distinct neon reflections.", "reason_2": "The video clearly renders the wet texture of the road and the colorful reflections of the lights on the ground, matching the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Subject Definition (Cars & Pedestrians)", "reason_1": "Pedestrians and cars are rendered as indistinct, morphing blobs with no clear anatomical or structural definition.", "reason_2": "Cars and pedestrians are clearly defined, with recognizable shapes and movement patterns appropriate for the scale.", "score_1": 1, "score_2": 9}, {"name": "Lighting Transition (Warm to Cool)", "reason_1": "The lighting is muddy and lacks a distinct transition from warm sunset hues to cool twilight blues.", "reason_2": "The video effectively captures the contrast between the warm streetlights at the bottom and the cool blue tones of the upper cityscape.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the specific environmental details requested, such as rain-slicked pavements and distinct vehicle/pedestrian forms, whereas Video 1 fails to render these elements with any recognizable clarity.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and low-resolution, making it difficult to identify any details.", "reason_2": "The video is sharp, clear, and high-resolution, maintaining detail even during the camera movement.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "Objects constantly morph, stretch, and dissolve; the geometry of the street and buildings is unstable.", "reason_2": "Buildings, cars, and the road maintain their rigid structures and geometry throughout the camera movement.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness", "reason_1": "The motion is jittery and inconsistent, disrupting the viewing experience.", "reason_2": "The camera movement is fluid and cinematic, simulating a professional drone or crane shot.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains high visual fidelity and stability throughout the clip. Video 1 is plagued by severe artifacts, blurring, and temporal incoherence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition", "reason_1": "The framing is chaotic and lacks a clear focal point or compositional logic.", "reason_2": "The shot is well-composed, using the street lines to lead the eye upward as the city expands in the background.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Immersion", "reason_1": "The lack of clarity prevents any real atmosphere from forming; it feels like a glitch rather than a scene.", "reason_2": "The combination of lighting, reflections, and smooth motion creates a convincing and immersive urban night atmosphere.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to heavy distortion and lack of detail.", "reason_2": "The video is aesthetically pleasing, with vibrant colors and a polished look.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully creates the 'mesmerizing tapestry' described in the prompt through good composition and lighting. Video 1 fails to evoke any aesthetic appeal due to its technical flaws.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every metric. It delivers a high-resolution, coherent, and visually stunning execution of the prompt, featuring a smooth camera ascent, clear environmental details (rain, reflections), and distinct subjects. Video 1 suffers from severe low resolution, extreme blurring, and significant morphological instability, making the scene barely recognizable and failing to meet the basic visual standards required.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 17.0, "total_score_2": 83.0, "elapsed_sec": 61.701} +{"pair_id": "096_seed_42", "sample_index": 96, "seed": 42, "prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_42_A mesmerizing dancer clad in a flowing crimson dre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_42_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_42_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_42_A mesmerizing dancer clad in a flowing crimson dre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Dress & Face)\", \"reason_1\": \"Video 1 renders a recognizable human face and a dress that maintains its structure, though the color leans more magenta than crimson.\", \"reason_2\": \"Video 2 captures the 'crimson' color better but fails completely on the 'expressive face' requirement, rendering a distorted, melting visage.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Atmosphere (Smoke & Lighting)\", \"reason_1\": \"Video 1 successfully integrates the swirling smoke and stage lighting, creating the requested ethereal atmosphere.\", \"reason_2\": \"Video 2 also features strong smoke and lighting effects, matching the prompt's environmental description well.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Action Execution (Twirl & Fluidity)\", \"reason_1\": \"The dancer in Video 1 performs a recognizable twirl with relatively fluid motion.\", \"reason_2\": \"The motion in Video 2 is jerky and unnatural, with the subject's body parts morphing rather than moving fluidly.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 aligns better with the core requirement of a 'mesmerizing dancer' with an 'expressive face'. Video 2 fails the semantic requirement of a human face, rendering a distorted visage instead.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features and body shape remain consistent throughout the clip.\", \"reason_2\": \"The subject's face changes drastically between frames, morphing into different shapes and losing all identity coherence.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 maintains basic anatomical logic, though there is some minor blurring of the hands.\", \"reason_2\": \"Video 2 exhibits severe anatomical hallucinations; the face melts and the body structure warps unnaturally during movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is somewhat soft and lacks high-frequency detail.\", \"reason_2\": \"Video 2 appears sharper with higher contrast, despite the content being distorted.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a stable subject identity, whereas Video 2 suffers from catastrophic morphological failure (face melting).\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is pleasant to watch and successfully conveys a performance vibe.\", \"reason_2\": \"The severe facial distortions create a disturbing, 'uncanny valley' effect that ruins the aesthetic appeal.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Emotional Impact (Passion vs. Distortion)\", \"reason_1\": \"The dancer's expression, while imperfect, conveys the requested passion and intensity.\", \"reason_2\": \"The distortion turns the intended passion into a grotesque expression, failing the emotional prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"The camera framing keeps the subject centered and captures the movement reasonably well.\", \"reason_2\": \"The framing is acceptable, but the camera movement feels slightly disconnected from the subject's erratic morphing.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 captures the intended mood of a performance. Video 2 creates an unintentional horror aesthetic due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior temporal stability and subject coherence. While Video 2 offers sharper resolution and a more accurate 'crimson' color palette, it suffers from severe morphological breakdowns, particularly in the subject's face, which melts and distorts significantly. Video 1 maintains a consistent human identity and anatomical structure throughout the performance, successfully delivering the 'mesmerizing' and 'passionate' qualities requested without the disturbing visual artifacts present in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Dress & Face)", "reason_1": "Video 1 renders a recognizable human face and a dress that maintains its structure, though the color leans more magenta than crimson.", "reason_2": "Video 2 captures the 'crimson' color better but fails completely on the 'expressive face' requirement, rendering a distorted, melting visage.", "score_1": 6, "score_2": 4}, {"name": "Environmental Atmosphere (Smoke & Lighting)", "reason_1": "Video 1 successfully integrates the swirling smoke and stage lighting, creating the requested ethereal atmosphere.", "reason_2": "Video 2 also features strong smoke and lighting effects, matching the prompt's environmental description well.", "score_1": 5, "score_2": 5}, {"name": "Action Execution (Twirl & Fluidity)", "reason_1": "The dancer in Video 1 performs a recognizable twirl with relatively fluid motion.", "reason_2": "The motion in Video 2 is jerky and unnatural, with the subject's body parts morphing rather than moving fluidly.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 aligns better with the core requirement of a 'mesmerizing dancer' with an 'expressive face'. Video 2 fails the semantic requirement of a human face, rendering a distorted visage instead.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's facial features and body shape remain consistent throughout the clip.", "reason_2": "The subject's face changes drastically between frames, morphing into different shapes and losing all identity coherence.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 maintains basic anatomical logic, though there is some minor blurring of the hands.", "reason_2": "Video 2 exhibits severe anatomical hallucinations; the face melts and the body structure warps unnaturally during movement.", "score_1": 7, "score_2": 3}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is somewhat soft and lacks high-frequency detail.", "reason_2": "Video 2 appears sharper with higher contrast, despite the content being distorted.", "score_1": 4, "score_2": 6}], "cat_reason": "This is the deciding category. Video 1 maintains a stable subject identity, whereas Video 2 suffers from catastrophic morphological failure (face melting).", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is pleasant to watch and successfully conveys a performance vibe.", "reason_2": "The severe facial distortions create a disturbing, 'uncanny valley' effect that ruins the aesthetic appeal.", "score_1": 8, "score_2": 2}, {"name": "Emotional Impact (Passion vs. Distortion)", "reason_1": "The dancer's expression, while imperfect, conveys the requested passion and intensity.", "reason_2": "The distortion turns the intended passion into a grotesque expression, failing the emotional prompt.", "score_1": 7, "score_2": 3}, {"name": "Camera Motion & Framing", "reason_1": "The camera framing keeps the subject centered and captures the movement reasonably well.", "reason_2": "The framing is acceptable, but the camera movement feels slightly disconnected from the subject's erratic morphing.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 captures the intended mood of a performance. Video 2 creates an unintentional horror aesthetic due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior temporal stability and subject coherence. While Video 2 offers sharper resolution and a more accurate 'crimson' color palette, it suffers from severe morphological breakdowns, particularly in the subject's face, which melts and distorts significantly. Video 1 maintains a consistent human identity and anatomical structure throughout the performance, successfully delivering the 'mesmerizing' and 'passionate' qualities requested without the disturbing visual artifacts present in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 58.0, "total_score_2": 32.0, "elapsed_sec": 56.93} +{"pair_id": "096_seed_310", "sample_index": 96, "seed": 310, "prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_310_A mesmerizing dancer clad in a flowing crimson dre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_310_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_310_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_310_A mesmerizing dancer clad in a flowing crimson dre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Dress Color)\", \"reason_1\": \"Video 1 renders the dress in a bright pink or magenta shade, which deviates significantly from the requested 'crimson'.\", \"reason_2\": \"Video 2 correctly renders the dress in a deep red/crimson hue, aligning perfectly with the text description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Lighting & Smoke)\", \"reason_1\": \"Video 1 features a very bright, washed-out purple background that lacks the 'dimly lit' and 'dynamic patterns' requested.\", \"reason_2\": \"Video 2 successfully creates a 'dimly lit' stage with distinct beams of light and volumetric smoke, matching the atmospheric prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Specificity (Twirl & Gestures)\", \"reason_1\": \"Video 1 depicts a continuous twirl but lacks the specific 'delicate hand gestures' mentioned, focusing mostly on the spin.\", \"reason_2\": \"Video 2 captures the twirl while also incorporating distinct arm and hand movements that align better with the 'expressive' and 'delicate gestures' requirement.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 adheres much closer to the specific color and atmospheric descriptions in the prompt, particularly regarding the dress color and lighting style.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"The video is soft and lacks definition; the fabric of the dress and the dancer's features appear blurry and low-resolution.\", \"reason_2\": \"The video is sharp, with clear textures visible on the satin dress and distinct definition in the smoke and facial features.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The dancer's face is heavily distorted and lacks a consistent identity throughout the clip.\", \"reason_2\": \"While there is some morphing, the subject's facial features remain more recognizable and consistent compared to Video 1.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Physics & Motion Fluidity\", \"reason_1\": \"The motion is fluid but the dress behaves somewhat like a liquid blob rather than fabric.\", \"reason_2\": \"The dress movement is generally fluid, though it exhibits some unnatural morphing artifacts during the spin.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 offers a much sharper image with better texture definition, whereas Video 1 suffers from significant blurriness and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Contrast\", \"reason_1\": \"The lighting is flat and uniform, lacking the dramatic contrast implied by 'dimly lit stage' and 'fiery oranges'.\", \"reason_2\": \"The lighting is dramatic, with strong contrast between the dark background and the light beams, creating a professional cinematic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact (Passion & Intensity)\", \"reason_1\": \"Due to the facial distortion and flat lighting, the video fails to convey the requested 'passion and intensity'.\", \"reason_2\": \"The combination of the dancer's expression, the dramatic lighting, and the sharp visuals effectively conveys the requested intensity.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video looks like a lower-quality generation with washed-out colors and blur.\", \"reason_2\": \"The video is visually striking, with rich colors and a clear, engaging composition.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'mesmerizing' and 'dramatic' mood requested by the prompt through superior lighting and contrast.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, color accuracy, and atmospheric rendering. While Video 1 presents a pinkish dress in a flatly lit environment, Video 2 correctly renders the 'crimson' dress and creates a dramatic, high-contrast stage environment with volumetric lighting that matches the prompt's request for a 'dimly lit stage' and 'dynamic patterns'. Video 2 also maintains better subject definition and facial clarity compared to the blurry and distorted presentation in Video 1.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Dress Color)", "reason_1": "Video 1 renders the dress in a bright pink or magenta shade, which deviates significantly from the requested 'crimson'.", "reason_2": "Video 2 correctly renders the dress in a deep red/crimson hue, aligning perfectly with the text description.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Lighting & Smoke)", "reason_1": "Video 1 features a very bright, washed-out purple background that lacks the 'dimly lit' and 'dynamic patterns' requested.", "reason_2": "Video 2 successfully creates a 'dimly lit' stage with distinct beams of light and volumetric smoke, matching the atmospheric prompt.", "score_1": 3, "score_2": 7}, {"name": "Action Specificity (Twirl & Gestures)", "reason_1": "Video 1 depicts a continuous twirl but lacks the specific 'delicate hand gestures' mentioned, focusing mostly on the spin.", "reason_2": "Video 2 captures the twirl while also incorporating distinct arm and hand movements that align better with the 'expressive' and 'delicate gestures' requirement.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 adheres much closer to the specific color and atmospheric descriptions in the prompt, particularly regarding the dress color and lighting style.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Definition", "reason_1": "The video is soft and lacks definition; the fabric of the dress and the dancer's features appear blurry and low-resolution.", "reason_2": "The video is sharp, with clear textures visible on the satin dress and distinct definition in the smoke and facial features.", "score_1": 2, "score_2": 8}, {"name": "Subject Identity Persistence", "reason_1": "The dancer's face is heavily distorted and lacks a consistent identity throughout the clip.", "reason_2": "While there is some morphing, the subject's facial features remain more recognizable and consistent compared to Video 1.", "score_1": 3, "score_2": 7}, {"name": "Physics & Motion Fluidity", "reason_1": "The motion is fluid but the dress behaves somewhat like a liquid blob rather than fabric.", "reason_2": "The dress movement is generally fluid, though it exhibits some unnatural morphing artifacts during the spin.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 offers a much sharper image with better texture definition, whereas Video 1 suffers from significant blurriness and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Contrast", "reason_1": "The lighting is flat and uniform, lacking the dramatic contrast implied by 'dimly lit stage' and 'fiery oranges'.", "reason_2": "The lighting is dramatic, with strong contrast between the dark background and the light beams, creating a professional cinematic look.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact (Passion & Intensity)", "reason_1": "Due to the facial distortion and flat lighting, the video fails to convey the requested 'passion and intensity'.", "reason_2": "The combination of the dancer's expression, the dramatic lighting, and the sharp visuals effectively conveys the requested intensity.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video looks like a lower-quality generation with washed-out colors and blur.", "reason_2": "The video is visually striking, with rich colors and a clear, engaging composition.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'mesmerizing' and 'dramatic' mood requested by the prompt through superior lighting and contrast.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, color accuracy, and atmospheric rendering. While Video 1 presents a pinkish dress in a flatly lit environment, Video 2 correctly renders the 'crimson' dress and creates a dramatic, high-contrast stage environment with volumetric lighting that matches the prompt's request for a 'dimly lit stage' and 'dynamic patterns'. Video 2 also maintains better subject definition and facial clarity compared to the blurry and distorted presentation in Video 1.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 64.282} +{"pair_id": "096_seed_930", "sample_index": 96, "seed": 930, "prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_930_A mesmerizing dancer clad in a flowing crimson dre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_930_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_930_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_930_A mesmerizing dancer clad in a flowing crimson dre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Dress Color)\", \"reason_1\": \"Video 1 renders the dress in a bright magenta or hot pink, which deviates significantly from the requested 'crimson'.\", \"reason_2\": \"Video 2 correctly renders the dress in a deep crimson red, aligning perfectly with the prompt's specific color instruction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Lighting & Smoke)\", \"reason_1\": \"Video 1 features a very hazy, washed-out background where the lighting effects are less distinct and the smoke obscures the subject excessively.\", \"reason_2\": \"Video 2 successfully balances the 'dimly lit stage' with 'vibrant multicolored lights' and distinct 'wisps of smoke' that enhance rather than obscure the scene.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Specificity (Twirls & Gestures)\", \"reason_1\": \"Video 1 depicts the twirling action well, though the hand gestures are somewhat obscured by the dress volume.\", \"reason_2\": \"Video 2 also depicts the twirling action effectively, with clear visibility of the hand movements and body posture.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 adheres much closer to the specific color attributes requested in the prompt, particularly the dress color, and renders the environmental elements with greater clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Facial Stability)\", \"reason_1\": \"The dancer's face in Video 1 suffers from severe morphing and distortion, losing human likeness and consistency throughout the clip.\", \"reason_2\": \"Video 2 maintains a consistent facial structure and identity throughout the rotation, avoiding the 'melting' effect seen in Video 1.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The overall image in Video 1 is soft and lacks definition, appearing somewhat blurry and low-resolution.\", \"reason_2\": \"Video 2 is significantly sharper, with crisp edges on the subject and clear definition in the fabric textures.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Physics & Cloth Simulation\", \"reason_1\": \"The dress in Video 1 moves fluidly but behaves somewhat like a liquid blob rather than fabric.\", \"reason_2\": \"The dress in Video 2 displays more realistic folding and momentum, reacting more naturally to the dancer's spin.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior technical execution, maintaining subject identity and image sharpness, whereas Video 1 struggles with facial stability and resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Expression of Passion & Intensity\", \"reason_1\": \"Due to facial distortion, the expression in Video 1 reads as confused or distorted rather than passionate.\", \"reason_2\": \"Video 2 captures a clear, intense facial expression that aligns well with the prompt's request for 'passion and intensity'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The color palette in Video 1 is dominated by pinks and purples, lacking the dramatic contrast requested.\", \"reason_2\": \"Video 2 creates a striking aesthetic by contrasting the deep red dress against the cool blue and warm orange stage lights.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"The camera circles the subject adequately, keeping her centered.\", \"reason_2\": \"The camera movement is smooth and effectively tracks the dancer's rotation, matching the prompt's description.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the dramatic and passionate mood requested by the prompt through better lighting contrast and facial expression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily due to its superior semantic accuracy regarding the subject's attributes and significantly better video quality. It correctly renders the 'crimson' dress (whereas Video 1 renders a magenta/pink dress) and maintains a stable, recognizable face throughout the clip. Video 1 suffers from severe facial morphing and lower visual fidelity, while Video 2 delivers a sharper, more aesthetically pleasing image with better lighting contrast.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Dress Color)", "reason_1": "Video 1 renders the dress in a bright magenta or hot pink, which deviates significantly from the requested 'crimson'.", "reason_2": "Video 2 correctly renders the dress in a deep crimson red, aligning perfectly with the prompt's specific color instruction.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Lighting & Smoke)", "reason_1": "Video 1 features a very hazy, washed-out background where the lighting effects are less distinct and the smoke obscures the subject excessively.", "reason_2": "Video 2 successfully balances the 'dimly lit stage' with 'vibrant multicolored lights' and distinct 'wisps of smoke' that enhance rather than obscure the scene.", "score_1": 4, "score_2": 6}, {"name": "Action Specificity (Twirls & Gestures)", "reason_1": "Video 1 depicts the twirling action well, though the hand gestures are somewhat obscured by the dress volume.", "reason_2": "Video 2 also depicts the twirling action effectively, with clear visibility of the hand movements and body posture.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 adheres much closer to the specific color attributes requested in the prompt, particularly the dress color, and renders the environmental elements with greater clarity.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Facial Stability)", "reason_1": "The dancer's face in Video 1 suffers from severe morphing and distortion, losing human likeness and consistency throughout the clip.", "reason_2": "Video 2 maintains a consistent facial structure and identity throughout the rotation, avoiding the 'melting' effect seen in Video 1.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The overall image in Video 1 is soft and lacks definition, appearing somewhat blurry and low-resolution.", "reason_2": "Video 2 is significantly sharper, with crisp edges on the subject and clear definition in the fabric textures.", "score_1": 3, "score_2": 7}, {"name": "Physics & Cloth Simulation", "reason_1": "The dress in Video 1 moves fluidly but behaves somewhat like a liquid blob rather than fabric.", "reason_2": "The dress in Video 2 displays more realistic folding and momentum, reacting more naturally to the dancer's spin.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior technical execution, maintaining subject identity and image sharpness, whereas Video 1 struggles with facial stability and resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Expression of Passion & Intensity", "reason_1": "Due to facial distortion, the expression in Video 1 reads as confused or distorted rather than passionate.", "reason_2": "Video 2 captures a clear, intense facial expression that aligns well with the prompt's request for 'passion and intensity'.", "score_1": 3, "score_2": 7}, {"name": "Color Harmony & Contrast", "reason_1": "The color palette in Video 1 is dominated by pinks and purples, lacking the dramatic contrast requested.", "reason_2": "Video 2 creates a striking aesthetic by contrasting the deep red dress against the cool blue and warm orange stage lights.", "score_1": 3, "score_2": 7}, {"name": "Camera Motion & Framing", "reason_1": "The camera circles the subject adequately, keeping her centered.", "reason_2": "The camera movement is smooth and effectively tracks the dancer's rotation, matching the prompt's description.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the dramatic and passionate mood requested by the prompt through better lighting contrast and facial expression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily due to its superior semantic accuracy regarding the subject's attributes and significantly better video quality. It correctly renders the 'crimson' dress (whereas Video 1 renders a magenta/pink dress) and maintains a stable, recognizable face throughout the clip. Video 1 suffers from severe facial morphing and lower visual fidelity, while Video 2 delivers a sharper, more aesthetically pleasing image with better lighting contrast.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 61.85} +{"pair_id": "097_seed_42", "sample_index": 97, "seed": 42, "prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_42_An aerial view reveals an expansive field of vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_42_An aerial view reveals an expansive field of vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_42_An aerial view reveals an expansive field of vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_42_An aerial view reveals an expansive field of vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dynamic Motion Fidelity (Wave-like Sway)\", \"reason_1\": \"Video 1 perfectly renders the 'mesmerizing wave-like motion' where the flowers move rhythmically in unison, mimicking ocean waves as requested.\", \"reason_2\": \"Video 2 shows random, chaotic movement of individual plants with no cohesive wave pattern, failing the specific motion prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 features a distinct, warm golden light source that creates the requested 'dreamlike quality' and lens flare effects.\", \"reason_2\": \"Video 2 has flat, somewhat washed-out lighting that lacks the specific 'warm, golden glow' described in the text.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Density & Color Vibrancy\", \"reason_1\": \"Video 1 depicts a dense, 'expansive field' of 'vibrant pink flowers' that blend seamlessly with the green, creating the requested tapestry.\", \"reason_2\": \"Video 2 shows a sparser field with less color saturation, failing to achieve the 'vibrant' and 'stunning tapestry' aesthetic.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 precisely executes the complex motion and lighting requirements of the prompt, whereas Video 2 fails to generate the specific 'wave-like' movement and lacks the requested vibrancy.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined edges on the flowers and foliage.\", \"reason_2\": \"The video is blurry and lacks definition, appearing like a low-resolution upscale.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The camera glide is smooth and the animation of the flowers is fluid without stuttering.\", \"reason_2\": \"The motion feels jerky and the frame rate appears lower, disrupting the viewing experience.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Consistency\", \"reason_1\": \"The texture of the flower petals remains consistent throughout the clip.\", \"reason_2\": \"The textures are muddy and indistinct, making it hard to distinguish individual petals clearly.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high visual clarity and smooth motion, while Video 2 suffers from blurriness and lower perceived resolution.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Evocation of Mood (Tranquility & Wonder)\", \"reason_1\": \"The combination of the rhythmic wave motion and golden light successfully evokes the 'sense of tranquility and wonder' requested.\", \"reason_2\": \"The chaotic movement and dull colors fail to evoke any specific emotional response or sense of wonder.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing allows the wave motion to flow naturally across the screen, creating a pleasing composition.\", \"reason_2\": \"The composition is functional but lacks artistic intent, feeling more like a random snapshot.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Aesthetic Appeal\", \"reason_1\": \"The colors are rich and harmonious, creating a beautiful, stylized look.\", \"reason_2\": \"The color palette is dull and lacks the aesthetic appeal necessary for a 'dreamlike' scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the emotional response of 'tranquility and wonder' through superior composition and color grading, whereas Video 2 feels mundane.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific 'wave-like motion' described in the prompt, creating a rhythmic, mesmerizing effect that Video 2 completely lacks. Additionally, Video 1 offers superior image clarity, vibrant color saturation, and a distinct golden lighting atmosphere that aligns perfectly with the 'dreamlike' aesthetic requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dynamic Motion Fidelity (Wave-like Sway)", "reason_1": "Video 1 perfectly renders the 'mesmerizing wave-like motion' where the flowers move rhythmically in unison, mimicking ocean waves as requested.", "reason_2": "Video 2 shows random, chaotic movement of individual plants with no cohesive wave pattern, failing the specific motion prompt.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 features a distinct, warm golden light source that creates the requested 'dreamlike quality' and lens flare effects.", "reason_2": "Video 2 has flat, somewhat washed-out lighting that lacks the specific 'warm, golden glow' described in the text.", "score_1": 8, "score_2": 2}, {"name": "Subject Density & Color Vibrancy", "reason_1": "Video 1 depicts a dense, 'expansive field' of 'vibrant pink flowers' that blend seamlessly with the green, creating the requested tapestry.", "reason_2": "Video 2 shows a sparser field with less color saturation, failing to achieve the 'vibrant' and 'stunning tapestry' aesthetic.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 precisely executes the complex motion and lighting requirements of the prompt, whereas Video 2 fails to generate the specific 'wave-like' movement and lacks the requested vibrancy.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined edges on the flowers and foliage.", "reason_2": "The video is blurry and lacks definition, appearing like a low-resolution upscale.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Stability", "reason_1": "The camera glide is smooth and the animation of the flowers is fluid without stuttering.", "reason_2": "The motion feels jerky and the frame rate appears lower, disrupting the viewing experience.", "score_1": 8, "score_2": 2}, {"name": "Texture Consistency", "reason_1": "The texture of the flower petals remains consistent throughout the clip.", "reason_2": "The textures are muddy and indistinct, making it hard to distinguish individual petals clearly.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high visual clarity and smooth motion, while Video 2 suffers from blurriness and lower perceived resolution.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Evocation of Mood (Tranquility & Wonder)", "reason_1": "The combination of the rhythmic wave motion and golden light successfully evokes the 'sense of tranquility and wonder' requested.", "reason_2": "The chaotic movement and dull colors fail to evoke any specific emotional response or sense of wonder.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition", "reason_1": "The framing allows the wave motion to flow naturally across the screen, creating a pleasing composition.", "reason_2": "The composition is functional but lacks artistic intent, feeling more like a random snapshot.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Aesthetic Appeal", "reason_1": "The colors are rich and harmonious, creating a beautiful, stylized look.", "reason_2": "The color palette is dull and lacks the aesthetic appeal necessary for a 'dreamlike' scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the emotional response of 'tranquility and wonder' through superior composition and color grading, whereas Video 2 feels mundane.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific 'wave-like motion' described in the prompt, creating a rhythmic, mesmerizing effect that Video 2 completely lacks. Additionally, Video 1 offers superior image clarity, vibrant color saturation, and a distinct golden lighting atmosphere that aligns perfectly with the 'dreamlike' aesthetic requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 55.414} +{"pair_id": "097_seed_310", "sample_index": 97, "seed": 310, "prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_310_An aerial view reveals an expansive field of vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_310_An aerial view reveals an expansive field of vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_310_An aerial view reveals an expansive field of vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_310_An aerial view reveals an expansive field of vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Perspective (Aerial vs. Ground)\", \"reason_1\": \"Video 1 provides a clear aerial/high-angle view that reveals the 'expansive field' as requested.\", \"reason_2\": \"Video 2 presents a low-angle, close-up shot that fails to convey the scale or the 'aerial' perspective required.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Dynamic Motion Fidelity (Wave-like Sway)\", \"reason_1\": \"Video 1 successfully renders the 'wave-like motion' across the landscape, creating the requested rhythmic effect.\", \"reason_2\": \"Video 2 shows generic swaying of individual flowers but lacks the collective, mesmerizing wave pattern described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Lighting (Golden Glow)\", \"reason_1\": \"Video 1 features a distinct sun source and a warm, golden atmospheric glow that permeates the scene.\", \"reason_2\": \"Video 2 has a flatter lighting profile with less distinct directional sunlight or golden atmospheric effects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 correctly interprets the spatial and dynamic requirements of the prompt, whereas Video 2 fails to provide the requested aerial perspective and specific motion patterns.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Clarity & Texture Definition\", \"reason_1\": \"The flowers and foliage in Video 1 are rendered with sharp definition, allowing the viewer to see the 'tapestry' of color clearly.\", \"reason_2\": \"Video 2 suffers from significant blurriness and lack of focus, making the individual flowers appear indistinct and muddy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The camera movement in Video 1 is smooth and consistent, simulating a professional glide.\", \"reason_2\": \"Video 2 exhibits some jitter and lack of temporal stability in the movement of the plants.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Vibrancy & Contrast\", \"reason_1\": \"Video 1 delivers the 'vibrant pink' and 'lush green' with high contrast and saturation.\", \"reason_2\": \"The colors in Video 2 are washed out and lack the vibrancy requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual clarity and smooth motion, while Video 2 suffers from blurriness and lower definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Scale & Composition\", \"reason_1\": \"Video 1 utilizes a wide composition that effectively communicates the vastness of the landscape.\", \"reason_2\": \"Video 2 uses a tight, claustrophobic framing that fails to capture the grandeur of the scene.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Mood (Dreamlike Quality)\", \"reason_1\": \"The combination of lighting, color, and motion in Video 1 successfully evokes the 'dreamlike' and 'tranquil' mood.\", \"reason_2\": \"Video 2 feels more like raw, unpolished footage and fails to establish a specific emotional atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Intent (Gliding)\", \"reason_1\": \"The camera in Video 1 glides horizontally over the field, matching the prompt's instruction perfectly.\", \"reason_2\": \"The camera in Video 2 moves erratically and lacks the smooth, gliding quality described.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'dreamlike' and 'serene' aesthetic through superior composition and lighting, whereas Video 2 feels like a generic, lower-quality clip.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the 'aerial view' and 'expansive field' constraints, successfully rendering the specific 'wave-like motion' of the flowers requested in the prompt. Video 2 fails the perspective requirement, presenting a low-angle, close-up shot that lacks the requested scale and specific dynamic movement.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Perspective (Aerial vs. Ground)", "reason_1": "Video 1 provides a clear aerial/high-angle view that reveals the 'expansive field' as requested.", "reason_2": "Video 2 presents a low-angle, close-up shot that fails to convey the scale or the 'aerial' perspective required.", "score_1": 9, "score_2": 1}, {"name": "Dynamic Motion Fidelity (Wave-like Sway)", "reason_1": "Video 1 successfully renders the 'wave-like motion' across the landscape, creating the requested rhythmic effect.", "reason_2": "Video 2 shows generic swaying of individual flowers but lacks the collective, mesmerizing wave pattern described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Environmental Lighting (Golden Glow)", "reason_1": "Video 1 features a distinct sun source and a warm, golden atmospheric glow that permeates the scene.", "reason_2": "Video 2 has a flatter lighting profile with less distinct directional sunlight or golden atmospheric effects.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 correctly interprets the spatial and dynamic requirements of the prompt, whereas Video 2 fails to provide the requested aerial perspective and specific motion patterns.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Clarity & Texture Definition", "reason_1": "The flowers and foliage in Video 1 are rendered with sharp definition, allowing the viewer to see the 'tapestry' of color clearly.", "reason_2": "Video 2 suffers from significant blurriness and lack of focus, making the individual flowers appear indistinct and muddy.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Stability", "reason_1": "The camera movement in Video 1 is smooth and consistent, simulating a professional glide.", "reason_2": "Video 2 exhibits some jitter and lack of temporal stability in the movement of the plants.", "score_1": 7, "score_2": 3}, {"name": "Color Vibrancy & Contrast", "reason_1": "Video 1 delivers the 'vibrant pink' and 'lush green' with high contrast and saturation.", "reason_2": "The colors in Video 2 are washed out and lack the vibrancy requested by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual clarity and smooth motion, while Video 2 suffers from blurriness and lower definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Scale & Composition", "reason_1": "Video 1 utilizes a wide composition that effectively communicates the vastness of the landscape.", "reason_2": "Video 2 uses a tight, claustrophobic framing that fails to capture the grandeur of the scene.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Mood (Dreamlike Quality)", "reason_1": "The combination of lighting, color, and motion in Video 1 successfully evokes the 'dreamlike' and 'tranquil' mood.", "reason_2": "Video 2 feels more like raw, unpolished footage and fails to establish a specific emotional atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Intent (Gliding)", "reason_1": "The camera in Video 1 glides horizontally over the field, matching the prompt's instruction perfectly.", "reason_2": "The camera in Video 2 moves erratically and lacks the smooth, gliding quality described.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'dreamlike' and 'serene' aesthetic through superior composition and lighting, whereas Video 2 feels like a generic, lower-quality clip.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the 'aerial view' and 'expansive field' constraints, successfully rendering the specific 'wave-like motion' of the flowers requested in the prompt. Video 2 fails the perspective requirement, presenting a low-angle, close-up shot that lacks the requested scale and specific dynamic movement.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 54.964} +{"pair_id": "097_seed_930", "sample_index": 97, "seed": 930, "prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Perspective (Aerial vs. Low Angle)\", \"reason_1\": \"Video 1 provides a clear, high-angle aerial view that reveals the vastness of the field as requested.\", \"reason_2\": \"Video 2 presents a low-angle, ground-level perspective that completely ignores the 'aerial view' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Semantics (Wave-like vs. Blur)\", \"reason_1\": \"Video 1 depicts the flowers swaying in a rhythmic, wave-like pattern across the landscape, matching the prompt's 'mesmerizing wave-like motion'.\", \"reason_2\": \"Video 2 relies on fast camera movement causing motion blur, rather than the swaying of the flowers themselves.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Scope (Expansive Field)\", \"reason_1\": \"Video 1 shows a horizon line and a massive scale, fulfilling the 'expansive field' and 'vast, open sky' requirements.\", \"reason_2\": \"Video 2 is a tight shot with no visible horizon or sense of scale, failing to convey the 'expansive' nature of the scene.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 correctly interprets the spatial and motion requirements of the prompt, whereas Video 2 fails to provide the requested aerial perspective and specific motion dynamics.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with distinct separation between the pink flowers and green foliage.\", \"reason_2\": \"The video is heavily blurred, likely due to simulated speed or low generation quality, making details indistinguishable.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Stability\", \"reason_1\": \"The video maintains a consistent frame rate and object permanence throughout the clip.\", \"reason_2\": \"The rapid movement creates a jittery, unstable visual experience that lacks temporal coherence.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Color Consistency\", \"reason_1\": \"Video 1 maintains the 'warm, golden glow' consistently across the frame without washing out details.\", \"reason_2\": \"While the lighting is warm, the excessive blur muddies the colors, reducing the vibrancy of the pink and green hues.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers superior clarity and stability. Video 2 suffers from excessive motion blur and a lack of definition in the subject matter.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Tranquility)\", \"reason_1\": \"The slow, gliding camera and gentle swaying motion perfectly evoke the requested sense of 'tranquility and wonder'.\", \"reason_2\": \"The fast, rushing camera movement creates a sense of urgency or speed, which is the opposite of the requested 'serene dance'.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Compositional Balance\", \"reason_1\": \"The framing allows for a balanced view of the sky, the horizon, and the field, creating a pleasing composition.\", \"reason_2\": \"The composition is chaotic and lacks a focal point due to the speed and blur.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Flow (Gliding Motion)\", \"reason_1\": \"The camera movement is smooth and controlled, effectively 'gliding' over the field as described.\", \"reason_2\": \"The camera movement feels rushed and erratic, lacking the smooth 'glide' requested in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully captures the 'tranquil' and 'dreamlike' mood, while Video 2's fast pace contradicts the intended emotional tone.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the 'aerial view' and 'expansive field' constraints, successfully depicting the rhythmic, wave-like motion of the flowers described in the prompt. Video 2 fails the core perspective requirement, presenting a low-angle, fast-moving shot that lacks the requested tranquility and scale.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Perspective (Aerial vs. Low Angle)", "reason_1": "Video 1 provides a clear, high-angle aerial view that reveals the vastness of the field as requested.", "reason_2": "Video 2 presents a low-angle, ground-level perspective that completely ignores the 'aerial view' instruction.", "score_1": 9, "score_2": 1}, {"name": "Motion Semantics (Wave-like vs. Blur)", "reason_1": "Video 1 depicts the flowers swaying in a rhythmic, wave-like pattern across the landscape, matching the prompt's 'mesmerizing wave-like motion'.", "reason_2": "Video 2 relies on fast camera movement causing motion blur, rather than the swaying of the flowers themselves.", "score_1": 8, "score_2": 2}, {"name": "Environmental Scope (Expansive Field)", "reason_1": "Video 1 shows a horizon line and a massive scale, fulfilling the 'expansive field' and 'vast, open sky' requirements.", "reason_2": "Video 2 is a tight shot with no visible horizon or sense of scale, failing to convey the 'expansive' nature of the scene.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 correctly interprets the spatial and motion requirements of the prompt, whereas Video 2 fails to provide the requested aerial perspective and specific motion dynamics.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with distinct separation between the pink flowers and green foliage.", "reason_2": "The video is heavily blurred, likely due to simulated speed or low generation quality, making details indistinguishable.", "score_1": 8, "score_2": 2}, {"name": "Temporal Stability", "reason_1": "The video maintains a consistent frame rate and object permanence throughout the clip.", "reason_2": "The rapid movement creates a jittery, unstable visual experience that lacks temporal coherence.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Color Consistency", "reason_1": "Video 1 maintains the 'warm, golden glow' consistently across the frame without washing out details.", "reason_2": "While the lighting is warm, the excessive blur muddies the colors, reducing the vibrancy of the pink and green hues.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers superior clarity and stability. Video 2 suffers from excessive motion blur and a lack of definition in the subject matter.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Tranquility)", "reason_1": "The slow, gliding camera and gentle swaying motion perfectly evoke the requested sense of 'tranquility and wonder'.", "reason_2": "The fast, rushing camera movement creates a sense of urgency or speed, which is the opposite of the requested 'serene dance'.", "score_1": 9, "score_2": 1}, {"name": "Compositional Balance", "reason_1": "The framing allows for a balanced view of the sky, the horizon, and the field, creating a pleasing composition.", "reason_2": "The composition is chaotic and lacks a focal point due to the speed and blur.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Flow (Gliding Motion)", "reason_1": "The camera movement is smooth and controlled, effectively 'gliding' over the field as described.", "reason_2": "The camera movement feels rushed and erratic, lacking the smooth 'glide' requested in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully captures the 'tranquil' and 'dreamlike' mood, while Video 2's fast pace contradicts the intended emotional tone.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the 'aerial view' and 'expansive field' constraints, successfully depicting the rhythmic, wave-like motion of the flowers described in the prompt. Video 2 fails the core perspective requirement, presenting a low-angle, fast-moving shot that lacks the requested tranquility and scale.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 57.992} +{"pair_id": "098_seed_42", "sample_index": 98, "seed": 42, "prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_42_In a dimly lit studio an artist wearing a worn apr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_42_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_42_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_42_In a dimly lit studio an artist wearing a worn apr.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Glasses & Apron)\", \"reason_1\": \"Video 1 clearly depicts the artist wearing the requested glasses and a worn apron throughout the clip.\", \"reason_2\": \"Video 2 fails to render the glasses consistently; they appear and disappear or merge with the face, and the apron is less distinct.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Carving Mechanics)\", \"reason_1\": \"Video 1 shows a logical carving motion with a tool interacting with the material, even if the mallet is not explicitly visible in every frame.\", \"reason_2\": \"Video 2 depicts the tool merging with the sculpture and the hands, lacking any logical physical interaction or 'precision'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Dust & Lighting)\", \"reason_1\": \"Video 1 successfully renders the 'dimly lit studio' with visible dust particles dancing in the light as requested.\", \"reason_2\": \"Video 2 has a generic lighting setup and lacks the specific atmospheric dust particles described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately includes all key subject attributes and environmental details, whereas Video 2 fails to maintain the presence of the glasses and the logical action of carving.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Hands)\", \"reason_1\": \"The artist's face and hands remain anatomically consistent and solid throughout the video.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and warping of the face and hands, destroying any sense of realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Permanence (Sculpture Integrity)\", \"reason_1\": \"The sculpture in Video 1 maintains a consistent shape and texture (marble/clay) throughout the sequence.\", \"reason_2\": \"The sculpture in Video 2 constantly changes shape, size, and form, behaving like a liquid rather than a solid object.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is sharp, clear, and high-resolution with realistic textures.\", \"reason_2\": \"Video 2 is blurry, noisy, and suffers from significant generation artifacts.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and realism. Video 2 is plagued by severe artifacts, warping, and a complete lack of object permanence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Focus\", \"reason_1\": \"Video 1 effectively uses depth of field to focus on the hands and then the face, creating a professional cinematic look.\", \"reason_2\": \"Video 2 has erratic framing and focus issues that make the video difficult to watch.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Emotional Expression (Focused Determination)\", \"reason_1\": \"The artist in Video 1 displays a convincing expression of concentration and passion.\", \"reason_2\": \"The facial distortions in Video 2 make it impossible to read any intended emotion, resulting in an uncanny valley effect.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow (Process to Result)\", \"reason_1\": \"Video 1 follows a logical progression from working on the piece to inspecting it.\", \"reason_2\": \"Video 2 is a disjointed sequence of morphing images with no clear narrative progression.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a cinematic and emotionally resonant clip that matches the prompt's tone. Video 2 is visually disturbing due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a superior generation that maintains high visual fidelity, temporal stability, and semantic accuracy throughout. It successfully renders the specific attributes (glasses, apron) and the atmospheric details (dust, lighting) requested in the prompt. In contrast, Video 2 suffers from severe morphological instability, with the subject's face and hands melting and warping significantly, and fails to maintain the structural integrity of the sculpture or the tools.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Glasses & Apron)", "reason_1": "Video 1 clearly depicts the artist wearing the requested glasses and a worn apron throughout the clip.", "reason_2": "Video 2 fails to render the glasses consistently; they appear and disappear or merge with the face, and the apron is less distinct.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Carving Mechanics)", "reason_1": "Video 1 shows a logical carving motion with a tool interacting with the material, even if the mallet is not explicitly visible in every frame.", "reason_2": "Video 2 depicts the tool merging with the sculpture and the hands, lacking any logical physical interaction or 'precision'.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Dust & Lighting)", "reason_1": "Video 1 successfully renders the 'dimly lit studio' with visible dust particles dancing in the light as requested.", "reason_2": "Video 2 has a generic lighting setup and lacks the specific atmospheric dust particles described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately includes all key subject attributes and environmental details, whereas Video 2 fails to maintain the presence of the glasses and the logical action of carving.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Hands)", "reason_1": "The artist's face and hands remain anatomically consistent and solid throughout the video.", "reason_2": "Video 2 exhibits severe 'melting' and warping of the face and hands, destroying any sense of realism.", "score_1": 9, "score_2": 1}, {"name": "Object Permanence (Sculpture Integrity)", "reason_1": "The sculpture in Video 1 maintains a consistent shape and texture (marble/clay) throughout the sequence.", "reason_2": "The sculpture in Video 2 constantly changes shape, size, and form, behaving like a liquid rather than a solid object.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is sharp, clear, and high-resolution with realistic textures.", "reason_2": "Video 2 is blurry, noisy, and suffers from significant generation artifacts.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade stability and realism. Video 2 is plagued by severe artifacts, warping, and a complete lack of object permanence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Focus", "reason_1": "Video 1 effectively uses depth of field to focus on the hands and then the face, creating a professional cinematic look.", "reason_2": "Video 2 has erratic framing and focus issues that make the video difficult to watch.", "score_1": 8, "score_2": 2}, {"name": "Emotional Expression (Focused Determination)", "reason_1": "The artist in Video 1 displays a convincing expression of concentration and passion.", "reason_2": "The facial distortions in Video 2 make it impossible to read any intended emotion, resulting in an uncanny valley effect.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow (Process to Result)", "reason_1": "Video 1 follows a logical progression from working on the piece to inspecting it.", "reason_2": "Video 2 is a disjointed sequence of morphing images with no clear narrative progression.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a cinematic and emotionally resonant clip that matches the prompt's tone. Video 2 is visually disturbing due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is a superior generation that maintains high visual fidelity, temporal stability, and semantic accuracy throughout. It successfully renders the specific attributes (glasses, apron) and the atmospheric details (dust, lighting) requested in the prompt. In contrast, Video 2 suffers from severe morphological instability, with the subject's face and hands melting and warping significantly, and fails to maintain the structural integrity of the sculpture or the tools.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 58.49} +{"pair_id": "098_seed_310", "sample_index": 98, "seed": 310, "prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_310_In a dimly lit studio an artist wearing a worn apr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_310_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_310_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_310_In a dimly lit studio an artist wearing a worn apr.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Glasses & Apron)\", \"reason_1\": \"Video 1 clearly depicts the artist wearing the requested glasses and apron in a consistent manner.\", \"reason_2\": \"Video 2 shows the apron, but the glasses are inconsistent, appearing and disappearing or changing shape between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Carving Mechanics)\", \"reason_1\": \"Video 1 depicts a logical carving motion with a tool interacting with the sculpture.\", \"reason_2\": \"Video 2 shows the tool floating near the sculpture without logical physical interaction or carving force.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Atmosphere (Lighting & Dust)\", \"reason_1\": \"Video 1 successfully renders the 'dimly lit' studio with 'dancing dust particles' and soft ambient light.\", \"reason_2\": \"Video 2 has flat, generic lighting and lacks the specific atmospheric dust effects requested.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately captures the atmospheric details (dust, lighting) and subject attributes (glasses, apron) consistently. Video 2 fails to maintain the presence of the glasses and lacks the specific environmental mood described.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The artist's face and features remain consistent throughout the clip.\", \"reason_2\": \"The artist's face morphs drastically between frames, changing age, facial hair, and structure completely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Stability (Sculpture & Tools)\", \"reason_1\": \"The sculpture and tools maintain their shape and solidity.\", \"reason_2\": \"The sculpture's details shift and warp, and the carving tool lacks structural integrity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"Movement is fluid and natural.\", \"reason_2\": \"The video stutters with jarring transitions that look like a slideshow of different images rather than a continuous video.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations, morphing subjects, and disjointed motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"The lighting is dramatic and moody, perfectly fitting the 'dimly lit studio' description.\", \"reason_2\": \"The lighting is flat and uninspired, lacking the requested artistic mood.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Focus & Composition\", \"reason_1\": \"The camera effectively focuses on the hands and the work, creating a sense of intimacy.\", \"reason_2\": \"The framing is inconsistent, often cutting off key elements or focusing on the morphing face.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Expression (Concentration)\", \"reason_1\": \"The artist's expression conveys the requested 'focused determination'.\", \"reason_2\": \"Due to the morphing face, no consistent emotion or narrative intent can be read.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 achieves a cinematic look with professional lighting and composition that matches the prompt's artistic tone. Video 2 lacks aesthetic cohesion.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It maintains excellent temporal stability, consistent character identity, and high visual fidelity, effectively capturing the atmospheric lighting and dust particles described in the prompt. Video 2 suffers from severe morphological instability, with the artist's face and the sculpture morphing significantly between frames, and fails to maintain the requested lighting atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Glasses & Apron)", "reason_1": "Video 1 clearly depicts the artist wearing the requested glasses and apron in a consistent manner.", "reason_2": "Video 2 shows the apron, but the glasses are inconsistent, appearing and disappearing or changing shape between frames.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Carving Mechanics)", "reason_1": "Video 1 depicts a logical carving motion with a tool interacting with the sculpture.", "reason_2": "Video 2 shows the tool floating near the sculpture without logical physical interaction or carving force.", "score_1": 7, "score_2": 3}, {"name": "Environmental Atmosphere (Lighting & Dust)", "reason_1": "Video 1 successfully renders the 'dimly lit' studio with 'dancing dust particles' and soft ambient light.", "reason_2": "Video 2 has flat, generic lighting and lacks the specific atmospheric dust effects requested.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately captures the atmospheric details (dust, lighting) and subject attributes (glasses, apron) consistently. Video 2 fails to maintain the presence of the glasses and lacks the specific environmental mood described.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The artist's face and features remain consistent throughout the clip.", "reason_2": "The artist's face morphs drastically between frames, changing age, facial hair, and structure completely.", "score_1": 9, "score_2": 1}, {"name": "Object Stability (Sculpture & Tools)", "reason_1": "The sculpture and tools maintain their shape and solidity.", "reason_2": "The sculpture's details shift and warp, and the carving tool lacks structural integrity.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Coherence", "reason_1": "Movement is fluid and natural.", "reason_2": "The video stutters with jarring transitions that look like a slideshow of different images rather than a continuous video.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations, morphing subjects, and disjointed motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "The lighting is dramatic and moody, perfectly fitting the 'dimly lit studio' description.", "reason_2": "The lighting is flat and uninspired, lacking the requested artistic mood.", "score_1": 9, "score_2": 1}, {"name": "Camera Focus & Composition", "reason_1": "The camera effectively focuses on the hands and the work, creating a sense of intimacy.", "reason_2": "The framing is inconsistent, often cutting off key elements or focusing on the morphing face.", "score_1": 8, "score_2": 2}, {"name": "Narrative Expression (Concentration)", "reason_1": "The artist's expression conveys the requested 'focused determination'.", "reason_2": "Due to the morphing face, no consistent emotion or narrative intent can be read.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 achieves a cinematic look with professional lighting and composition that matches the prompt's artistic tone. Video 2 lacks aesthetic cohesion.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It maintains excellent temporal stability, consistent character identity, and high visual fidelity, effectively capturing the atmospheric lighting and dust particles described in the prompt. Video 2 suffers from severe morphological instability, with the artist's face and the sculpture morphing significantly between frames, and fails to maintain the requested lighting atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 53.797} +{"pair_id": "098_seed_930", "sample_index": 98, "seed": 930, "prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Glasses & Apron)\", \"reason_1\": \"Video 1 clearly depicts the artist wearing glasses and a worn apron as requested.\", \"reason_2\": \"Video 2 shows the apron but fails to render the glasses clearly; the facial features are distorted and lack the specific attribute.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Carving Mechanics)\", \"reason_1\": \"Video 1 shows a logical interaction between the tool and the material, with the hands positioned correctly for carving.\", \"reason_2\": \"Video 2 displays 'floating' hand movements where the tool does not physically interact with the sculpture, and the hands morph into the object.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Lighting & Dust)\", \"reason_1\": \"Video 1 successfully captures the 'dimly lit' studio vibe with warm tones and visible dust particles.\", \"reason_2\": \"Video 2 has a brighter, flatter lighting setup that lacks the atmospheric depth and specific 'dancing dust' effect requested.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific attributes (glasses, apron) and the action of carving. Video 2 fails to render the glasses clearly and the carving action is physically nonsensical.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Hands & Tools)\", \"reason_1\": \"The hands and tools in Video 1 maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the fingers melt into the sculpture, and the tool changes shape randomly.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The artist's face and hands remain consistent in appearance across the frames.\", \"reason_2\": \"The artist's face in Video 2 distorts significantly, losing identity and structural logic between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 renders realistic skin textures, marble grain, and fabric details.\", \"reason_2\": \"Video 2 has a 'smooth', plastic-like AI look with blurred textures and low definition.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and realism. Video 2 is plagued by severe artifacts, morphing, and lack of object permanence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"Video 1 utilizes contrast and warm lighting to create the 'intense concentration' and artistic mood described.\", \"reason_2\": \"Video 2 lacks cinematic lighting, appearing flat and washed out.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Focus & Composition\", \"reason_1\": \"Video 1 effectively uses close-ups on the hands and face to convey the narrative of precision and passion.\", \"reason_2\": \"Video 2 has awkward framing where the subject is often cut off or obscured by generation artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Expression (Determination)\", \"reason_1\": \"The facial expression in Video 1 clearly conveys the 'focused determination' requested.\", \"reason_2\": \"The facial distortion in Video 2 makes it impossible to read any specific emotion or narrative intent.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 employs cinematic lighting and framing that enhances the narrative of an artist at work. Video 2 lacks aesthetic coherence due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It delivers a photorealistic, stable, and atmospherically accurate representation of the prompt, capturing the specific details like the glasses, the worn apron, and the dust particles in a dimly lit setting. Video 2 suffers from severe morphological instability, with the artist's hands and face melting and distorting significantly, and fails to maintain the requested lighting atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Glasses & Apron)", "reason_1": "Video 1 clearly depicts the artist wearing glasses and a worn apron as requested.", "reason_2": "Video 2 shows the apron but fails to render the glasses clearly; the facial features are distorted and lack the specific attribute.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Carving Mechanics)", "reason_1": "Video 1 shows a logical interaction between the tool and the material, with the hands positioned correctly for carving.", "reason_2": "Video 2 displays 'floating' hand movements where the tool does not physically interact with the sculpture, and the hands morph into the object.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Lighting & Dust)", "reason_1": "Video 1 successfully captures the 'dimly lit' studio vibe with warm tones and visible dust particles.", "reason_2": "Video 2 has a brighter, flatter lighting setup that lacks the atmospheric depth and specific 'dancing dust' effect requested.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific attributes (glasses, apron) and the action of carving. Video 2 fails to render the glasses clearly and the carving action is physically nonsensical.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Hands & Tools)", "reason_1": "The hands and tools in Video 1 maintain their shape and volume consistently throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the fingers melt into the sculpture, and the tool changes shape randomly.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The artist's face and hands remain consistent in appearance across the frames.", "reason_2": "The artist's face in Video 2 distorts significantly, losing identity and structural logic between frames.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 renders realistic skin textures, marble grain, and fabric details.", "reason_2": "Video 2 has a 'smooth', plastic-like AI look with blurred textures and low definition.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and realism. Video 2 is plagued by severe artifacts, morphing, and lack of object permanence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "Video 1 utilizes contrast and warm lighting to create the 'intense concentration' and artistic mood described.", "reason_2": "Video 2 lacks cinematic lighting, appearing flat and washed out.", "score_1": 9, "score_2": 1}, {"name": "Camera Focus & Composition", "reason_1": "Video 1 effectively uses close-ups on the hands and face to convey the narrative of precision and passion.", "reason_2": "Video 2 has awkward framing where the subject is often cut off or obscured by generation artifacts.", "score_1": 8, "score_2": 2}, {"name": "Narrative Expression (Determination)", "reason_1": "The facial expression in Video 1 clearly conveys the 'focused determination' requested.", "reason_2": "The facial distortion in Video 2 makes it impossible to read any specific emotion or narrative intent.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 employs cinematic lighting and framing that enhances the narrative of an artist at work. Video 2 lacks aesthetic coherence due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It delivers a photorealistic, stable, and atmospherically accurate representation of the prompt, capturing the specific details like the glasses, the worn apron, and the dust particles in a dimly lit setting. Video 2 suffers from severe morphological instability, with the artist's hands and face melting and distorting significantly, and fails to maintain the requested lighting atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 56.192} +{"pair_id": "099_seed_42", "sample_index": 99, "seed": 42, "prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_42_In a sunlit studio a painter with tousled hair and.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_42_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_42_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_42_In a sunlit studio a painter with tousled hair and.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Tool Specificity (Palette Knife vs. Brush)\", \"reason_1\": \"Video 1 completely ignores the prompt's instruction to use a 'palette knife', instead showing a standard paintbrush.\", \"reason_2\": \"Video 2 correctly generates a palette knife and depicts the artist using it to spread paint, aligning perfectly with the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Attributes (Focused Expression)\", \"reason_1\": \"Video 1 shows the subject mostly from behind; the 'focused expression' is not visible or verifiable.\", \"reason_2\": \"Video 2 provides a clear side profile of the artist, distinctly showing the 'focused expression' and 'tousled hair' as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Logic (Blending & Movement)\", \"reason_1\": \"The painting action in Video 1 is generic and lacks the specific 'blending' motion associated with a palette knife.\", \"reason_2\": \"Video 2 accurately depicts the scraping and blending motion characteristic of palette knife painting.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the specific tool and attribute instructions, whereas Video 1 failed to generate the correct tool and obscured the subject's expression.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity (Impasto & Depth)\", \"reason_1\": \"The paint on the canvas in Video 1 appears flat and digital, lacking the requested 'texture and depth'.\", \"reason_2\": \"Video 2 renders the paint with high-quality 3D depth (impasto), making the brushstrokes look physically tangible and realistic.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Interaction Physics (Tool on Canvas)\", \"reason_1\": \"The brush movement in Video 1 feels slightly disconnected from the canvas surface, with less convincing contact shadows.\", \"reason_2\": \"Video 2 shows realistic interaction between the knife and the canvas, with paint appearing to physically displace.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 is adequately clear but has a slightly softer, more artificial look.\", \"reason_2\": \"Video 2 maintains high sharpness, particularly in the details of the hand, the knife, and the paint ridges.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior rendering of physical textures, specifically the paint on the canvas, which looks tangible and realistic compared to the flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The over-the-shoulder shot in Video 1 is functional but obscures the artist's engagement and the details of the work.\", \"reason_2\": \"Video 2 uses a profile shot that effectively balances the artist's focus with the artwork, creating a more engaging composition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"Video 1 successfully captures the 'rich blues and fiery oranges' requested.\", \"reason_2\": \"Video 2 also nails the color palette, with vibrant oranges and deep blues that match the prompt's description.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"The atmosphere is somewhat generic and lacks the 'sunlit studio' warmth.\", \"reason_2\": \"Video 2 feels more immersive due to the lighting on the artist's face and the tactile quality of the art, enhancing the 'mesmerizing' mood.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a more cinematic composition that connects the artist to the work, whereas Video 1 feels like a standard stock clip.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it correctly identifies and generates the specific tool requested in the prompt (a palette knife), whereas Video 1 incorrectly uses a standard paintbrush. Furthermore, Video 2 excels in rendering the physical texture of the paint (impasto), creating a realistic sense of depth that aligns with the prompt's request for 'texture and depth'. Video 2 also provides a better view of the artist's 'focused expression', which is obscured in Video 1.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Tool Specificity (Palette Knife vs. Brush)", "reason_1": "Video 1 completely ignores the prompt's instruction to use a 'palette knife', instead showing a standard paintbrush.", "reason_2": "Video 2 correctly generates a palette knife and depicts the artist using it to spread paint, aligning perfectly with the prompt.", "score_1": 1, "score_2": 9}, {"name": "Subject Attributes (Focused Expression)", "reason_1": "Video 1 shows the subject mostly from behind; the 'focused expression' is not visible or verifiable.", "reason_2": "Video 2 provides a clear side profile of the artist, distinctly showing the 'focused expression' and 'tousled hair' as requested.", "score_1": 2, "score_2": 8}, {"name": "Action Logic (Blending & Movement)", "reason_1": "The painting action in Video 1 is generic and lacks the specific 'blending' motion associated with a palette knife.", "reason_2": "Video 2 accurately depicts the scraping and blending motion characteristic of palette knife painting.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the specific tool and attribute instructions, whereas Video 1 failed to generate the correct tool and obscured the subject's expression.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity (Impasto & Depth)", "reason_1": "The paint on the canvas in Video 1 appears flat and digital, lacking the requested 'texture and depth'.", "reason_2": "Video 2 renders the paint with high-quality 3D depth (impasto), making the brushstrokes look physically tangible and realistic.", "score_1": 2, "score_2": 8}, {"name": "Interaction Physics (Tool on Canvas)", "reason_1": "The brush movement in Video 1 feels slightly disconnected from the canvas surface, with less convincing contact shadows.", "reason_2": "Video 2 shows realistic interaction between the knife and the canvas, with paint appearing to physically displace.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 is adequately clear but has a slightly softer, more artificial look.", "reason_2": "Video 2 maintains high sharpness, particularly in the details of the hand, the knife, and the paint ridges.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior rendering of physical textures, specifically the paint on the canvas, which looks tangible and realistic compared to the flatter look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The over-the-shoulder shot in Video 1 is functional but obscures the artist's engagement and the details of the work.", "reason_2": "Video 2 uses a profile shot that effectively balances the artist's focus with the artwork, creating a more engaging composition.", "score_1": 3, "score_2": 7}, {"name": "Color Harmony & Vibrancy", "reason_1": "Video 1 successfully captures the 'rich blues and fiery oranges' requested.", "reason_2": "Video 2 also nails the color palette, with vibrant oranges and deep blues that match the prompt's description.", "score_1": 5, "score_2": 5}, {"name": "Atmospheric Immersion", "reason_1": "The atmosphere is somewhat generic and lacks the 'sunlit studio' warmth.", "reason_2": "Video 2 feels more immersive due to the lighting on the artist's face and the tactile quality of the art, enhancing the 'mesmerizing' mood.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a more cinematic composition that connects the artist to the work, whereas Video 1 feels like a standard stock clip.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it correctly identifies and generates the specific tool requested in the prompt (a palette knife), whereas Video 1 incorrectly uses a standard paintbrush. Furthermore, Video 2 excels in rendering the physical texture of the paint (impasto), creating a realistic sense of depth that aligns with the prompt's request for 'texture and depth'. Video 2 also provides a better view of the artist's 'focused expression', which is obscured in Video 1.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 59.455} +{"pair_id": "099_seed_310", "sample_index": 99, "seed": 310, "prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_310_In a sunlit studio a painter with tousled hair and.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_310_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_310_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_310_In a sunlit studio a painter with tousled hair and.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Tousled Hair & Expression)\", \"reason_1\": \"Video 1 perfectly captures the 'tousled hair' and 'focused expression' described in the prompt.\", \"reason_2\": \"Video 2 shows a subject with neat, styled hair and a neutral expression, missing the specific character description.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Palette Knife vs. Brush)\", \"reason_1\": \"Video 1 fails to generate a palette knife, defaulting to a standard paintbrush.\", \"reason_2\": \"Video 2 also fails to generate a palette knife, using a flat brush instead.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Sunlit Studio)\", \"reason_1\": \"Video 1 depicts a rustic, naturally lit space that feels like a genuine 'sunlit studio'.\", \"reason_2\": \"Video 2 depicts a generic room with flat, artificial lighting that lacks the atmospheric depth of a studio.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Progression (Step Back & Reveal)\", \"reason_1\": \"Video 1 attempts a transition where the camera moves closer to the canvas, partially fulfilling the 'reveal' instruction.\", \"reason_2\": \"Video 2 remains largely static in its framing and does not attempt the 'step back' or 'reveal' narrative beat.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 aligns much closer to the descriptive attributes of the subject and the environment, despite both videos failing the specific tool requirement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity (Paint & Canvas)\", \"reason_1\": \"The paint in Video 1 has visible thickness, gloss, and texture, matching the 'intricate details' requirement.\", \"reason_2\": \"The paint in Video 2 appears flat and digital, lacking physical depth or realistic texture.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Realism & Interaction\", \"reason_1\": \"Video 1 features complex lighting interactions, with shadows and highlights that suggest a real physical space.\", \"reason_2\": \"Video 2 has flat, even lighting that makes the scene look like a 2D composite.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The artist's movements in Video 1 are fluid and organic.\", \"reason_2\": \"The movement in Video 2 is somewhat stiff and mechanical.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior rendering of textures and lighting, creating a believable physical world compared to the flatter look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Sunlit & Vibrant)\", \"reason_1\": \"Video 1 successfully evokes the 'sunlit' and 'mesmerizing' mood through warm color grading and contrast.\", \"reason_2\": \"Video 2 feels clinical and lacks the emotional or atmospheric resonance requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a dynamic angle that emphasizes the artist's engagement with the work.\", \"reason_2\": \"Video 2 uses a standard, flat over-the-shoulder shot that is less visually engaging.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony (Blues & Oranges)\", \"reason_1\": \"The colors in Video 1 are rich and blended artistically, creating the 'symphony of hues'.\", \"reason_2\": \"The colors in Video 2 are distinct but lack the harmonious blending described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the artistic and emotional tone of the prompt far better, utilizing lighting and composition to create a 'mesmerizing' effect.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior adherence to the atmospheric and character-specific details of the prompt. It successfully renders the 'sunlit studio' environment and the 'tousled hair' of the painter, creating a cohesive and realistic scene. While both videos fail to generate the specific 'palette knife' requested (both use brushes), Video 1 excels in visual fidelity, lighting, and the textural quality of the paint, whereas Video 2 feels flatter and more generic.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Tousled Hair & Expression)", "reason_1": "Video 1 perfectly captures the 'tousled hair' and 'focused expression' described in the prompt.", "reason_2": "Video 2 shows a subject with neat, styled hair and a neutral expression, missing the specific character description.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Palette Knife vs. Brush)", "reason_1": "Video 1 fails to generate a palette knife, defaulting to a standard paintbrush.", "reason_2": "Video 2 also fails to generate a palette knife, using a flat brush instead.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Sunlit Studio)", "reason_1": "Video 1 depicts a rustic, naturally lit space that feels like a genuine 'sunlit studio'.", "reason_2": "Video 2 depicts a generic room with flat, artificial lighting that lacks the atmospheric depth of a studio.", "score_1": 8, "score_2": 2}, {"name": "Narrative Progression (Step Back & Reveal)", "reason_1": "Video 1 attempts a transition where the camera moves closer to the canvas, partially fulfilling the 'reveal' instruction.", "reason_2": "Video 2 remains largely static in its framing and does not attempt the 'step back' or 'reveal' narrative beat.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 aligns much closer to the descriptive attributes of the subject and the environment, despite both videos failing the specific tool requirement.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity (Paint & Canvas)", "reason_1": "The paint in Video 1 has visible thickness, gloss, and texture, matching the 'intricate details' requirement.", "reason_2": "The paint in Video 2 appears flat and digital, lacking physical depth or realistic texture.", "score_1": 8, "score_2": 2}, {"name": "Lighting Realism & Interaction", "reason_1": "Video 1 features complex lighting interactions, with shadows and highlights that suggest a real physical space.", "reason_2": "Video 2 has flat, even lighting that makes the scene look like a 2D composite.", "score_1": 8, "score_2": 2}, {"name": "Motion Naturalness", "reason_1": "The artist's movements in Video 1 are fluid and organic.", "reason_2": "The movement in Video 2 is somewhat stiff and mechanical.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior rendering of textures and lighting, creating a believable physical world compared to the flatter look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Sunlit & Vibrant)", "reason_1": "Video 1 successfully evokes the 'sunlit' and 'mesmerizing' mood through warm color grading and contrast.", "reason_2": "Video 2 feels clinical and lacks the emotional or atmospheric resonance requested.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a dynamic angle that emphasizes the artist's engagement with the work.", "reason_2": "Video 2 uses a standard, flat over-the-shoulder shot that is less visually engaging.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony (Blues & Oranges)", "reason_1": "The colors in Video 1 are rich and blended artistically, creating the 'symphony of hues'.", "reason_2": "The colors in Video 2 are distinct but lack the harmonious blending described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the artistic and emotional tone of the prompt far better, utilizing lighting and composition to create a 'mesmerizing' effect.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior adherence to the atmospheric and character-specific details of the prompt. It successfully renders the 'sunlit studio' environment and the 'tousled hair' of the painter, creating a cohesive and realistic scene. While both videos fail to generate the specific 'palette knife' requested (both use brushes), Video 1 excels in visual fidelity, lighting, and the textural quality of the paint, whereas Video 2 feels flatter and more generic.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 25.0, "elapsed_sec": 57.467} +{"pair_id": "099_seed_930", "sample_index": 99, "seed": 930, "prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_930_In a sunlit studio a painter with tousled hair and.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_930_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_930_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_930_In a sunlit studio a painter with tousled hair and.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Tool Specificity (Palette Knife vs. Brush)\", \"reason_1\": \"Video 1 completely ignores the prompt's instruction to use a 'palette knife', instead showing the artist using a standard paintbrush.\", \"reason_2\": \"Video 2 correctly generates a palette knife and depicts the artist using it to spread paint, aligning perfectly with the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Presentation (Full Body vs. Hand Focus)\", \"reason_1\": \"Video 1 accurately depicts the 'painter with tousled hair' standing in the studio as the primary subject.\", \"reason_2\": \"Video 2 focuses almost exclusively on the hand and canvas, cropping out the painter's face and body, missing the 'stands before a large canvas' description.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Palette & Atmosphere\", \"reason_1\": \"Video 1 features the requested colors but the lighting is somewhat flat and the 'fiery oranges' are less vibrant.\", \"reason_2\": \"Video 2 captures the 'fiery oranges' and 'rich blues' with high saturation and contrast, better matching the 'sunlit' and 'vibrant' descriptors.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Logic (Blending & Creating)\", \"reason_1\": \"The painting action in Video 1 feels disconnected; the brush moves, but the paint on the canvas does not logically follow the stroke.\", \"reason_2\": \"Video 2 shows a logical cause-and-effect where the knife moves and leaves a trail of thick paint, accurately depicting the 'blending' action.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 correctly identifies and renders the specific tool (palette knife) and the resulting texture described in the prompt, whereas Video 1 fails this specific instruction.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Hand & Tool)\", \"reason_1\": \"Video 1 exhibits severe hallucination; the hand and brush morph into each other, and the brush handle disappears or bends unnaturally.\", \"reason_2\": \"Video 2 maintains the rigid shape of the palette knife and the anatomical structure of the hand throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Texture Fidelity (Impasto/Brushstrokes)\", \"reason_1\": \"The paint in Video 1 looks like a flat digital texture map with no physical depth.\", \"reason_2\": \"Video 2 renders the 'texture and depth' of the paint exceptionally well, showing realistic impasto effects and light interaction with the ridges of the paint.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion in Video 1 is jerky and the interaction between the brush and canvas lacks physical weight.\", \"reason_2\": \"The movement of the knife in Video 2 is smooth and carries a sense of friction and weight against the canvas surface.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and texture rendering, while Video 1 suffers from significant AI artifacts and morphing.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Appeal & Color Harmony\", \"reason_1\": \"The visual style is somewhat messy and lacks the 'breathtaking' quality requested.\", \"reason_2\": \"The colors are striking and the composition is clean, creating a visually pleasing 'symphony of hues'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Focus & Intent\", \"reason_1\": \"The camera is static and wide, failing to emphasize the 'intricate details' of the brushstrokes.\", \"reason_2\": \"The camera framing is tight on the action, effectively showcasing the details of the palette knife work as requested.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Progression (Emergence of Landscape)\", \"reason_1\": \"Video 1 shows a static painting that doesn't seem to 'emerge' or change significantly.\", \"reason_2\": \"Video 2 shows the active creation of the sunburst effect, giving a better sense of the artwork 'coming to life'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a more aesthetically pleasing and focused presentation of the artwork's creation, aligning better with the artistic intent of the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior adherence to the specific tool requirement (palette knife) and its exceptional rendering of paint texture and physics. While Video 1 captures the full body of the painter, it fails to use the requested tool (using a brush instead) and suffers from severe morphological instability where the hand and brush merge. Video 2 delivers a high-fidelity, physically plausible depiction of the painting process with vibrant colors and realistic impasto effects.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Tool Specificity (Palette Knife vs. Brush)", "reason_1": "Video 1 completely ignores the prompt's instruction to use a 'palette knife', instead showing the artist using a standard paintbrush.", "reason_2": "Video 2 correctly generates a palette knife and depicts the artist using it to spread paint, aligning perfectly with the prompt.", "score_1": 1, "score_2": 9}, {"name": "Subject Presentation (Full Body vs. Hand Focus)", "reason_1": "Video 1 accurately depicts the 'painter with tousled hair' standing in the studio as the primary subject.", "reason_2": "Video 2 focuses almost exclusively on the hand and canvas, cropping out the painter's face and body, missing the 'stands before a large canvas' description.", "score_1": 8, "score_2": 2}, {"name": "Color Palette & Atmosphere", "reason_1": "Video 1 features the requested colors but the lighting is somewhat flat and the 'fiery oranges' are less vibrant.", "reason_2": "Video 2 captures the 'fiery oranges' and 'rich blues' with high saturation and contrast, better matching the 'sunlit' and 'vibrant' descriptors.", "score_1": 4, "score_2": 6}, {"name": "Action Logic (Blending & Creating)", "reason_1": "The painting action in Video 1 feels disconnected; the brush moves, but the paint on the canvas does not logically follow the stroke.", "reason_2": "Video 2 shows a logical cause-and-effect where the knife moves and leaves a trail of thick paint, accurately depicting the 'blending' action.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 correctly identifies and renders the specific tool (palette knife) and the resulting texture described in the prompt, whereas Video 1 fails this specific instruction.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Hand & Tool)", "reason_1": "Video 1 exhibits severe hallucination; the hand and brush morph into each other, and the brush handle disappears or bends unnaturally.", "reason_2": "Video 2 maintains the rigid shape of the palette knife and the anatomical structure of the hand throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Texture Fidelity (Impasto/Brushstrokes)", "reason_1": "The paint in Video 1 looks like a flat digital texture map with no physical depth.", "reason_2": "Video 2 renders the 'texture and depth' of the paint exceptionally well, showing realistic impasto effects and light interaction with the ridges of the paint.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion in Video 1 is jerky and the interaction between the brush and canvas lacks physical weight.", "reason_2": "The movement of the knife in Video 2 is smooth and carries a sense of friction and weight against the canvas surface.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates professional-grade stability and texture rendering, while Video 1 suffers from significant AI artifacts and morphing.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Appeal & Color Harmony", "reason_1": "The visual style is somewhat messy and lacks the 'breathtaking' quality requested.", "reason_2": "The colors are striking and the composition is clean, creating a visually pleasing 'symphony of hues'.", "score_1": 3, "score_2": 7}, {"name": "Camera Focus & Intent", "reason_1": "The camera is static and wide, failing to emphasize the 'intricate details' of the brushstrokes.", "reason_2": "The camera framing is tight on the action, effectively showcasing the details of the palette knife work as requested.", "score_1": 4, "score_2": 6}, {"name": "Narrative Progression (Emergence of Landscape)", "reason_1": "Video 1 shows a static painting that doesn't seem to 'emerge' or change significantly.", "reason_2": "Video 2 shows the active creation of the sunburst effect, giving a better sense of the artwork 'coming to life'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a more aesthetically pleasing and focused presentation of the artwork's creation, aligning better with the artistic intent of the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior adherence to the specific tool requirement (palette knife) and its exceptional rendering of paint texture and physics. While Video 1 captures the full body of the painter, it fails to use the requested tool (using a brush instead) and suffers from severe morphological instability where the hand and brush merge. Video 2 delivers a high-fidelity, physically plausible depiction of the painting process with vibrant colors and realistic impasto effects.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 34.0, "total_score_2": 66.0, "elapsed_sec": 64.28} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0.jsonl b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e27a975ed311e89e6c8d4b62238edbbed2a5c07 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0.jsonl @@ -0,0 +1,38 @@ +{"pair_id": "000_seed_42", "sample_index": 0, "seed": 42, "prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_000_seed_42_A crystal-clear glass ball begins its journey acro.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_42_A crystal-clear glass ball begins its journey acro.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_000_seed_42_A crystal-clear glass ball begins its journey acro.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_42_A crystal-clear glass ball begins its journey acro.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Rolling vs. Static)\", \"reason_1\": \"Video 1 is essentially a static image with minor warping; the ball does not roll or travel across the table as requested.\", \"reason_2\": \"Video 2 depicts a clear, continuous rolling motion across the surface, perfectly aligning with the prompt's instruction for a 'journey' and 'roll'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Material Attribute (Crystal-Clear Transparency)\", \"reason_1\": \"The ball in Video 1 appears opaque, milky, or frosted, failing to meet the 'crystal-clear' descriptor.\", \"reason_2\": \"Video 2 renders a highly transparent object that allows the background to be seen through it, accurately representing 'crystal-clear glass'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Interaction (Reflections & Shadows)\", \"reason_1\": \"Video 1 shows a generic reflection but lacks the dynamic interplay of light and shadow caused by movement.\", \"reason_2\": \"Video 2 features realistic caustic reflections and shadows that shift naturally as the ball rolls, matching the 'dynamic interplay' described.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 follows the prompt's instructions regarding the subject's material and action, whereas Video 1 fails to depict the ball rolling or being crystal-clear.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Physics & Momentum (Rolling Dynamics)\", \"reason_1\": \"There is no physical momentum or rotation visible; the object feels weightless and disconnected from the surface.\", \"reason_2\": \"The ball exhibits realistic inertia, friction, and rotational speed consistent with a physical object rolling on wood.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Optical Refraction Quality\", \"reason_1\": \"The optical properties are dull; the ball does not refract the background or distort the view through it convincingly.\", \"reason_2\": \"The glass ball correctly inverts and distorts the background (the room) through refraction, adding a high layer of dynamic realism.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Texture Fidelity (Wood Grain)\", \"reason_1\": \"The wood texture is somewhat blurry and lacks the 'polished' definition requested.\", \"reason_2\": \"The wood grain is sharp, distinct, and interacts realistically with the light and the ball's shadow.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior physics simulation and optical rendering, while Video 1 suffers from a lack of motion and lower texture fidelity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Appeal & Lighting\", \"reason_1\": \"The lighting is flat and the image lacks contrast, resulting in a less engaging visual experience.\", \"reason_2\": \"The lighting is dynamic, highlighting the curves of the glass and the texture of the wood, creating a 'mesmerizing' aesthetic.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Tone (Serenity)\", \"reason_1\": \"While the image is calm, the lack of movement makes it feel stagnant rather than 'serene' or 'tranquil'.\", \"reason_2\": \"The smooth, slow rolling motion effectively conveys the 'serene dance of motion and stillness' described in the prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Camera Stability & Framing\", \"reason_1\": \"The camera is fixed as requested, though the framing is a bit tight.\", \"reason_2\": \"The camera remains fixed and stable, allowing the subject to move through the frame naturally.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the mesmerizing and serene mood through effective lighting and motion, whereas Video 1 is visually stagnant.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully executes the core action of the prompt—the ball rolling across the table—while Video 1 is virtually static. Furthermore, Video 2 accurately renders the 'crystal-clear' material with realistic transparency and refraction, whereas Video 1 depicts an opaque, frosted sphere.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Rolling vs. Static)", "reason_1": "Video 1 is essentially a static image with minor warping; the ball does not roll or travel across the table as requested.", "reason_2": "Video 2 depicts a clear, continuous rolling motion across the surface, perfectly aligning with the prompt's instruction for a 'journey' and 'roll'.", "score_1": 1, "score_2": 9}, {"name": "Material Attribute (Crystal-Clear Transparency)", "reason_1": "The ball in Video 1 appears opaque, milky, or frosted, failing to meet the 'crystal-clear' descriptor.", "reason_2": "Video 2 renders a highly transparent object that allows the background to be seen through it, accurately representing 'crystal-clear glass'.", "score_1": 2, "score_2": 8}, {"name": "Environmental Interaction (Reflections & Shadows)", "reason_1": "Video 1 shows a generic reflection but lacks the dynamic interplay of light and shadow caused by movement.", "reason_2": "Video 2 features realistic caustic reflections and shadows that shift naturally as the ball rolls, matching the 'dynamic interplay' described.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 follows the prompt's instructions regarding the subject's material and action, whereas Video 1 fails to depict the ball rolling or being crystal-clear.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Physics & Momentum (Rolling Dynamics)", "reason_1": "There is no physical momentum or rotation visible; the object feels weightless and disconnected from the surface.", "reason_2": "The ball exhibits realistic inertia, friction, and rotational speed consistent with a physical object rolling on wood.", "score_1": 1, "score_2": 9}, {"name": "Optical Refraction Quality", "reason_1": "The optical properties are dull; the ball does not refract the background or distort the view through it convincingly.", "reason_2": "The glass ball correctly inverts and distorts the background (the room) through refraction, adding a high layer of dynamic realism.", "score_1": 2, "score_2": 8}, {"name": "Texture Fidelity (Wood Grain)", "reason_1": "The wood texture is somewhat blurry and lacks the 'polished' definition requested.", "reason_2": "The wood grain is sharp, distinct, and interacts realistically with the light and the ball's shadow.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior physics simulation and optical rendering, while Video 1 suffers from a lack of motion and lower texture fidelity.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Appeal & Lighting", "reason_1": "The lighting is flat and the image lacks contrast, resulting in a less engaging visual experience.", "reason_2": "The lighting is dynamic, highlighting the curves of the glass and the texture of the wood, creating a 'mesmerizing' aesthetic.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Tone (Serenity)", "reason_1": "While the image is calm, the lack of movement makes it feel stagnant rather than 'serene' or 'tranquil'.", "reason_2": "The smooth, slow rolling motion effectively conveys the 'serene dance of motion and stillness' described in the prompt.", "score_1": 4, "score_2": 6}, {"name": "Camera Stability & Framing", "reason_1": "The camera is fixed as requested, though the framing is a bit tight.", "reason_2": "The camera remains fixed and stable, allowing the subject to move through the frame naturally.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the mesmerizing and serene mood through effective lighting and motion, whereas Video 1 is visually stagnant.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully executes the core action of the prompt—the ball rolling across the table—while Video 1 is virtually static. Furthermore, Video 2 accurately renders the 'crystal-clear' material with realistic transparency and refraction, whereas Video 1 depicts an opaque, frosted sphere.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 56.414} +{"pair_id": "002_seed_930", "sample_index": 2, "seed": 930, "prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_002_seed_930_In a sleek modern office with glass walls and mini.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attire Color & Style Specificity\", \"reason_1\": \"Video 1 fails the specific color instruction for the first man, rendering a grey suit instead of the requested navy suit.\", \"reason_2\": \"Video 2 correctly renders the first man in a navy suit and the second in a charcoal blazer, adhering strictly to the text description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Sleek Office)\", \"reason_1\": \"The setting in Video 1 appears to be an empty, unfinished room with raw walls, lacking the 'sleek' and 'contemporary furniture' elements requested.\", \"reason_2\": \"Video 2 depicts a polished, finished environment with glass partitions and a clean aesthetic that matches the 'sleek, modern office' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Execution (Handshake)\", \"reason_1\": \"Video 1 successfully depicts the handshake action with a firm grip.\", \"reason_2\": \"Video 2 also successfully depicts the handshake action, fulfilling the core narrative requirement.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 followed the specific descriptive constraints of the prompt much more closely, particularly regarding the clothing colors and the environmental setting.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Stability\", \"reason_1\": \"The subjects' faces in Video 1 remain structurally sound and realistic throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe facial distortion; the man on the left has a morphing, unnatural profile, and the man on the right has a distorted nose and ear structure.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Naturalness & Physics\", \"reason_1\": \"The movement of the arms and bodies in Video 1 is fluid and physically plausible.\", \"reason_2\": \"The motion in Video 2 feels stiff and robotic, with the handshake appearing somewhat weightless and the bodies lacking natural sway.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 has a natural, cinematic look with realistic skin textures and lighting falloff.\", \"reason_2\": \"Video 2 has a plastic, over-smoothed 'AI look' with harsh contrast and unnatural skin sheen.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is vastly superior in technical execution. Video 2 suffers from significant hallucinations and anatomical failures, particularly in the faces.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity (Warmth/Camaraderie)\", \"reason_1\": \"The smiles and body language in Video 1 feel genuine and human, effectively conveying the requested 'warmth'.\", \"reason_2\": \"The expressions in Video 2 are uncanny and creepy due to the facial distortions, failing to convey a positive emotional connection.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Atmospheric Tone\", \"reason_1\": \"Video 1 features soft, natural lighting that aligns well with the 'soft glow' description.\", \"reason_2\": \"Video 2 uses harsh, high-contrast lighting that feels artificial and less inviting.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is a usable, professional-looking clip.\", \"reason_2\": \"Video 2 is visually jarring due to the artifacts and distortions, making it aesthetically unpleasant.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully captures the emotional tone of 'warmth and camaraderie' through natural expressions, whereas Video 2's distortions create an uncanny and unappealing atmosphere.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior video quality, anatomical stability, and natural motion. While Video 2 adheres more strictly to the specific color palette requested in the prompt (navy suit), it suffers from severe facial distortions, uncanny expressions, and a lack of realism that undermines the requested 'warmth and camaraderie'. Video 1 provides a believable, professional, and aesthetically pleasing result, despite the minor deviation in the first subject's suit color.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attire Color & Style Specificity", "reason_1": "Video 1 fails the specific color instruction for the first man, rendering a grey suit instead of the requested navy suit.", "reason_2": "Video 2 correctly renders the first man in a navy suit and the second in a charcoal blazer, adhering strictly to the text description.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Sleek Office)", "reason_1": "The setting in Video 1 appears to be an empty, unfinished room with raw walls, lacking the 'sleek' and 'contemporary furniture' elements requested.", "reason_2": "Video 2 depicts a polished, finished environment with glass partitions and a clean aesthetic that matches the 'sleek, modern office' description.", "score_1": 3, "score_2": 7}, {"name": "Action Execution (Handshake)", "reason_1": "Video 1 successfully depicts the handshake action with a firm grip.", "reason_2": "Video 2 also successfully depicts the handshake action, fulfilling the core narrative requirement.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 followed the specific descriptive constraints of the prompt much more closely, particularly regarding the clothing colors and the environmental setting.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Stability", "reason_1": "The subjects' faces in Video 1 remain structurally sound and realistic throughout the clip.", "reason_2": "Video 2 suffers from severe facial distortion; the man on the left has a morphing, unnatural profile, and the man on the right has a distorted nose and ear structure.", "score_1": 9, "score_2": 1}, {"name": "Motion Naturalness & Physics", "reason_1": "The movement of the arms and bodies in Video 1 is fluid and physically plausible.", "reason_2": "The motion in Video 2 feels stiff and robotic, with the handshake appearing somewhat weightless and the bodies lacking natural sway.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 has a natural, cinematic look with realistic skin textures and lighting falloff.", "reason_2": "Video 2 has a plastic, over-smoothed 'AI look' with harsh contrast and unnatural skin sheen.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is vastly superior in technical execution. Video 2 suffers from significant hallucinations and anatomical failures, particularly in the faces.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity (Warmth/Camaraderie)", "reason_1": "The smiles and body language in Video 1 feel genuine and human, effectively conveying the requested 'warmth'.", "reason_2": "The expressions in Video 2 are uncanny and creepy due to the facial distortions, failing to convey a positive emotional connection.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Atmospheric Tone", "reason_1": "Video 1 features soft, natural lighting that aligns well with the 'soft glow' description.", "reason_2": "Video 2 uses harsh, high-contrast lighting that feels artificial and less inviting.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is a usable, professional-looking clip.", "reason_2": "Video 2 is visually jarring due to the artifacts and distortions, making it aesthetically unpleasant.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully captures the emotional tone of 'warmth and camaraderie' through natural expressions, whereas Video 2's distortions create an uncanny and unappealing atmosphere.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior video quality, anatomical stability, and natural motion. While Video 2 adheres more strictly to the specific color palette requested in the prompt (navy suit), it suffers from severe facial distortions, uncanny expressions, and a lack of realism that undermines the requested 'warmth and camaraderie'. Video 1 provides a believable, professional, and aesthetically pleasing result, despite the minor deviation in the first subject's suit color.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 59.0, "total_score_2": 31.0, "elapsed_sec": 57.34} +{"pair_id": "005_seed_310", "sample_index": 5, "seed": 310, "prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_005_seed_310_The video begins with a rapid zoom towards a vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_310_The video begins with a rapid zoom towards a vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_005_seed_310_The video begins with a rapid zoom towards a vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_310_The video begins with a rapid zoom towards a vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Dew & Texture)\", \"reason_1\": \"Video 1 renders the 'velvety texture' and 'glistening morning dew' with high realism; the water droplets look physically accurate.\", \"reason_2\": \"Video 2 fails to render convincing dew; the droplets appear as flat, white, static artifacts that do not interact with the light or the petal surface.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Adherence (Zoom Dynamics)\", \"reason_1\": \"Video 1 executes a smooth, continuous zoom that feels cinematic and intentional, matching the 'rapid zoom' instruction well.\", \"reason_2\": \"Video 2 performs the zoom, but the motion feels slightly mechanical and less fluid compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Subject Structural Logic\", \"reason_1\": \"The rose in Video 1 maintains a logical botanical structure with natural petal layering throughout the zoom.\", \"reason_2\": \"The rose in Video 2 exhibits unnatural geometry; the petals look somewhat rigid and the center structure becomes distorted as the camera gets closer.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the specific textural attributes requested, particularly the 'velvety texture' and 'glistening dew,' which are rendered realistically. Video 2 fails to render the dew convincingly, presenting them as flat white artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Petal Consistency)\", \"reason_1\": \"The subject remains perfectly consistent in shape and form throughout the zoom.\", \"reason_2\": \"Video 2 suffers from severe morphing; the petals shift shape and 'breathe' unnaturally as the camera moves, breaking the illusion of reality.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity (Sharpness & Detail)\", \"reason_1\": \"The image is crisp, with high-definition details visible in the leaf veins and petal edges.\", \"reason_2\": \"The video appears softer and lower resolution, with a lack of fine detail in the textures.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Reflection Physics\", \"reason_1\": \"Lighting interacts naturally with the curved surfaces of the petals and the water droplets.\", \"reason_2\": \"The lighting feels flat, and the 'dew' does not reflect light or the environment, appearing as a 2D overlay.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by morphing artifacts where the subject changes shape over time, and the overall resolution appears lower.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is aesthetically pleasing, with rich colors and a professional look.\", \"reason_2\": \"The visual appeal is marred by the artificial look of the rose and the distracting artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The crimson red contrasts beautifully with the natural green, exactly as requested.\", \"reason_2\": \"The colors are somewhat duller, and the contrast is less effective due to the lower image quality.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Cinematic Flow\", \"reason_1\": \"The zoom creates a satisfying sense of intimacy and focus on the subject.\", \"reason_2\": \"The flow is disrupted by the jittery motion and morphing subject, preventing the viewer from focusing on the 'beauty of nature'.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 achieves the 'elegance' and 'intricate beauty' requested by the prompt through superior composition and color grading. Video 2 feels more like a low-quality generation with distracting visual flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism, morphological stability, and accurate rendering of the requested attributes. It successfully depicts the 'velvety texture' and 'glistening dew' with high fidelity, whereas Video 2 suffers from significant morphing artifacts, unnatural petal geometry, and low-quality rendering of the water droplets.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Dew & Texture)", "reason_1": "Video 1 renders the 'velvety texture' and 'glistening morning dew' with high realism; the water droplets look physically accurate.", "reason_2": "Video 2 fails to render convincing dew; the droplets appear as flat, white, static artifacts that do not interact with the light or the petal surface.", "score_1": 9, "score_2": 1}, {"name": "Action Adherence (Zoom Dynamics)", "reason_1": "Video 1 executes a smooth, continuous zoom that feels cinematic and intentional, matching the 'rapid zoom' instruction well.", "reason_2": "Video 2 performs the zoom, but the motion feels slightly mechanical and less fluid compared to Video 1.", "score_1": 6, "score_2": 4}, {"name": "Subject Structural Logic", "reason_1": "The rose in Video 1 maintains a logical botanical structure with natural petal layering throughout the zoom.", "reason_2": "The rose in Video 2 exhibits unnatural geometry; the petals look somewhat rigid and the center structure becomes distorted as the camera gets closer.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the specific textural attributes requested, particularly the 'velvety texture' and 'glistening dew,' which are rendered realistically. Video 2 fails to render the dew convincingly, presenting them as flat white artifacts.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Petal Consistency)", "reason_1": "The subject remains perfectly consistent in shape and form throughout the zoom.", "reason_2": "Video 2 suffers from severe morphing; the petals shift shape and 'breathe' unnaturally as the camera moves, breaking the illusion of reality.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity (Sharpness & Detail)", "reason_1": "The image is crisp, with high-definition details visible in the leaf veins and petal edges.", "reason_2": "The video appears softer and lower resolution, with a lack of fine detail in the textures.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Reflection Physics", "reason_1": "Lighting interacts naturally with the curved surfaces of the petals and the water droplets.", "reason_2": "The lighting feels flat, and the 'dew' does not reflect light or the environment, appearing as a 2D overlay.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by morphing artifacts where the subject changes shape over time, and the overall resolution appears lower.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is aesthetically pleasing, with rich colors and a professional look.", "reason_2": "The visual appeal is marred by the artificial look of the rose and the distracting artifacts.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Contrast", "reason_1": "The crimson red contrasts beautifully with the natural green, exactly as requested.", "reason_2": "The colors are somewhat duller, and the contrast is less effective due to the lower image quality.", "score_1": 7, "score_2": 3}, {"name": "Cinematic Flow", "reason_1": "The zoom creates a satisfying sense of intimacy and focus on the subject.", "reason_2": "The flow is disrupted by the jittery motion and morphing subject, preventing the viewer from focusing on the 'beauty of nature'.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 achieves the 'elegance' and 'intricate beauty' requested by the prompt through superior composition and color grading. Video 2 feels more like a low-quality generation with distracting visual flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism, morphological stability, and accurate rendering of the requested attributes. It successfully depicts the 'velvety texture' and 'glistening dew' with high fidelity, whereas Video 2 suffers from significant morphing artifacts, unnatural petal geometry, and low-quality rendering of the water droplets.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 55.903} +{"pair_id": "008_seed_42", "sample_index": 8, "seed": 42, "prompt": "From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_008_seed_42_From a high vantage point the camera captures a bu.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Lighting (Golden Hour)\", \"reason_1\": \"Video 1 features flat, neutral lighting that completely misses the 'soft, golden lighting' and 'setting sun' requirement.\", \"reason_2\": \"Video 2 perfectly renders the warm, golden hues of late afternoon, creating the requested 'warm embrace' and long shadows.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attributes (Colorful Attire)\", \"reason_1\": \"The pedestrians in Video 1 are mostly dressed in muted, dark tones, failing to meet the 'colorful attire' descriptor.\", \"reason_2\": \"Video 2 displays a variety of bright colors in the pedestrians' clothing, aligning well with the prompt's request for vibrancy.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Interpretation (Choreographed Movement)\", \"reason_1\": \"The movement in Video 1 is chaotic and disjointed, with pedestrians sliding rather than walking, failing to evoke a 'choreographed dance'.\", \"reason_2\": \"Video 2 utilizes a time-lapse style motion which, while fast, creates a rhythmic flow that better approximates the 'synchronized' and 'harmonious' feel requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (High Vantage Point)\", \"reason_1\": \"Video 1 correctly establishes a high vantage point looking down at a street intersection.\", \"reason_2\": \"Video 2 also correctly establishes a high vantage point, offering a clear view of the street corner.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the specific atmospheric and attribute requirements of the prompt much better than Video 1, particularly regarding lighting and color.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Pedestrians)\", \"reason_1\": \"Video 1 exhibits severe morphological failure; pedestrians frequently melt, merge into the ground, or lose their human form entirely.\", \"reason_2\": \"Video 2 maintains the structural integrity of the subjects throughout the clip, with no noticeable morphing or hallucinations.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"Subjects in Video 1 appear to slide or float across the surface without proper foot-ground interaction.\", \"reason_2\": \"Video 2's motion, while stylized as a time-lapse, feels physically grounded and consistent within its own logic.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image in Video 1 is somewhat soft and lacks definition in the details of the cityscape.\", \"reason_2\": \"Video 2 is crisp and clear, with well-defined architectural details and distinct subject edges.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates far superior stability and clarity. Video 1 is plagued by severe artifacts where subjects lose their form.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The color palette in Video 1 is dull and grey, lacking the 'vibrant hues' requested.\", \"reason_2\": \"Video 2 features a rich, warm color palette that enhances the aesthetic appeal and matches the 'tapestry of urban life' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Due to the glitchy motion and flat lighting, Video 1 is visually unappealing and looks like a failed generation.\", \"reason_2\": \"Video 2 looks like a professional, stylized stock video clip with high artistic value.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement in Video 1 is minimal and feels slightly unstable.\", \"reason_2\": \"Video 2 features a smooth, stable perspective that allows the viewer to appreciate the scene's details.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a much more pleasing and professional visual experience, effectively conveying the mood of a bustling city at sunset.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully captures the 'golden lighting' and 'colorful attire' specified in the prompt, whereas Video 1 presents a duller, greyer palette. Furthermore, Video 2 maintains high visual stability and clarity, while Video 1 suffers from severe morphological breakdowns where pedestrians melt and distort significantly.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Lighting (Golden Hour)", "reason_1": "Video 1 features flat, neutral lighting that completely misses the 'soft, golden lighting' and 'setting sun' requirement.", "reason_2": "Video 2 perfectly renders the warm, golden hues of late afternoon, creating the requested 'warm embrace' and long shadows.", "score_1": 2, "score_2": 8}, {"name": "Subject Attributes (Colorful Attire)", "reason_1": "The pedestrians in Video 1 are mostly dressed in muted, dark tones, failing to meet the 'colorful attire' descriptor.", "reason_2": "Video 2 displays a variety of bright colors in the pedestrians' clothing, aligning well with the prompt's request for vibrancy.", "score_1": 3, "score_2": 7}, {"name": "Action Interpretation (Choreographed Movement)", "reason_1": "The movement in Video 1 is chaotic and disjointed, with pedestrians sliding rather than walking, failing to evoke a 'choreographed dance'.", "reason_2": "Video 2 utilizes a time-lapse style motion which, while fast, creates a rhythmic flow that better approximates the 'synchronized' and 'harmonious' feel requested.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (High Vantage Point)", "reason_1": "Video 1 correctly establishes a high vantage point looking down at a street intersection.", "reason_2": "Video 2 also correctly establishes a high vantage point, offering a clear view of the street corner.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the specific atmospheric and attribute requirements of the prompt much better than Video 1, particularly regarding lighting and color.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Pedestrians)", "reason_1": "Video 1 exhibits severe morphological failure; pedestrians frequently melt, merge into the ground, or lose their human form entirely.", "reason_2": "Video 2 maintains the structural integrity of the subjects throughout the clip, with no noticeable morphing or hallucinations.", "score_1": 1, "score_2": 9}, {"name": "Motion Physics & Grounding", "reason_1": "Subjects in Video 1 appear to slide or float across the surface without proper foot-ground interaction.", "reason_2": "Video 2's motion, while stylized as a time-lapse, feels physically grounded and consistent within its own logic.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image in Video 1 is somewhat soft and lacks definition in the details of the cityscape.", "reason_2": "Video 2 is crisp and clear, with well-defined architectural details and distinct subject edges.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates far superior stability and clarity. Video 1 is plagued by severe artifacts where subjects lose their form.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Vibrancy", "reason_1": "The color palette in Video 1 is dull and grey, lacking the 'vibrant hues' requested.", "reason_2": "Video 2 features a rich, warm color palette that enhances the aesthetic appeal and matches the 'tapestry of urban life' description.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "Due to the glitchy motion and flat lighting, Video 1 is visually unappealing and looks like a failed generation.", "reason_2": "Video 2 looks like a professional, stylized stock video clip with high artistic value.", "score_1": 2, "score_2": 8}, {"name": "Camera Motion Quality", "reason_1": "The camera movement in Video 1 is minimal and feels slightly unstable.", "reason_2": "Video 2 features a smooth, stable perspective that allows the viewer to appreciate the scene's details.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a much more pleasing and professional visual experience, effectively conveying the mood of a bustling city at sunset.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully captures the 'golden lighting' and 'colorful attire' specified in the prompt, whereas Video 1 presents a duller, greyer palette. Furthermore, Video 2 maintains high visual stability and clarity, while Video 1 suffers from severe morphological breakdowns where pedestrians melt and distort significantly.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 27.0, "total_score_2": 73.0, "elapsed_sec": 59.565} +{"pair_id": "010_seed_930", "sample_index": 10, "seed": 930, "prompt": "From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_010_seed_930_From a high vantage point the camera captures a bu.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Perspective (High Vantage Point)\", \"reason_1\": \"Video 1 fails to provide a 'high vantage point', presenting a street-level view instead.\", \"reason_2\": \"Video 2 also fails the 'high vantage point' instruction, utilizing a ground-level tracking shot.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Atmosphere (Wet Pavement & Reflections)\", \"reason_1\": \"Video 1 renders the wet pavement and shimmering reflections with high realism, matching the 'golden streetlights' description.\", \"reason_2\": \"Video 2 shows wet ground, but the reflections are muddy and lack the distinct 'shimmering' quality requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Winter Attire & Crowd)\", \"reason_1\": \"Video 1 clearly depicts pedestrians in winter coats and scarves, maintaining their form.\", \"reason_2\": \"Video 2 attempts to show winter clothing, but the subjects are so distorted that the attributes are barely recognizable.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the environmental details (reflections, wet pavement, winter attire) with much higher fidelity. Both videos fail the 'high vantage point' constraint, but Video 1 aligns better with the atmospheric descriptions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The pedestrians and cars in Video 1 maintain their shape and structure throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the pedestrians' faces and bodies melt and morph grotesquely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined textures on the road and clothing.\", \"reason_2\": \"The video is blurry, noisy, and lacks definition, resembling a low-quality generation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence (Physics & Interaction)\", \"reason_1\": \"The car moves with reasonable weight, and the water splashes are visually plausible.\", \"reason_2\": \"The motion is jerky and unnatural; the car appears to slide rather than drive, and the pedestrians glide without walking mechanics.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the deciding category. Video 1 is stable and clear. Video 2 suffers from catastrophic morphological failure, with subjects melting and distorting significantly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Serene vs. Chaotic)\", \"reason_1\": \"Video 1 successfully evokes the 'serene yet lively' mood with warm lighting and smooth motion.\", \"reason_2\": \"The severe distortions in Video 2 create an uncanny and disturbing atmosphere, completely failing the 'serene' requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Harmony (Warm vs. Cool Contrast)\", \"reason_1\": \"Video 1 beautifully balances the warm shop lights against the cool, misty street tones.\", \"reason_2\": \"Video 2 has a washed-out color palette with less distinct contrast between the light sources and the environment.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is aesthetically pleasing and looks like a coherent cinematic shot.\", \"reason_2\": \"The video is visually unappealing due to the heavy artifacts and lack of structural integrity.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully creates the 'harmonious urban symphony' vibe through good lighting and composition. Video 2 is visually disturbing due to the artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior visual stability, realistic rendering of environmental textures (wet pavement, reflections), and coherent subject motion. While both videos fail the specific 'high vantage point' instruction, Video 1 successfully captures the atmospheric mood and lighting described. Video 2 suffers from severe morphological instability, with pedestrians and vehicles distorting and melting, which completely breaks the realism and aesthetic appeal.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Perspective (High Vantage Point)", "reason_1": "Video 1 fails to provide a 'high vantage point', presenting a street-level view instead.", "reason_2": "Video 2 also fails the 'high vantage point' instruction, utilizing a ground-level tracking shot.", "score_1": 5, "score_2": 5}, {"name": "Environmental Atmosphere (Wet Pavement & Reflections)", "reason_1": "Video 1 renders the wet pavement and shimmering reflections with high realism, matching the 'golden streetlights' description.", "reason_2": "Video 2 shows wet ground, but the reflections are muddy and lack the distinct 'shimmering' quality requested.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Winter Attire & Crowd)", "reason_1": "Video 1 clearly depicts pedestrians in winter coats and scarves, maintaining their form.", "reason_2": "Video 2 attempts to show winter clothing, but the subjects are so distorted that the attributes are barely recognizable.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the environmental details (reflections, wet pavement, winter attire) with much higher fidelity. Both videos fail the 'high vantage point' constraint, but Video 1 aligns better with the atmospheric descriptions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "The pedestrians and cars in Video 1 maintain their shape and structure throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the pedestrians' faces and bodies melt and morph grotesquely.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined textures on the road and clothing.", "reason_2": "The video is blurry, noisy, and lacks definition, resembling a low-quality generation.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence (Physics & Interaction)", "reason_1": "The car moves with reasonable weight, and the water splashes are visually plausible.", "reason_2": "The motion is jerky and unnatural; the car appears to slide rather than drive, and the pedestrians glide without walking mechanics.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the deciding category. Video 1 is stable and clear. Video 2 suffers from catastrophic morphological failure, with subjects melting and distorting significantly.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Serene vs. Chaotic)", "reason_1": "Video 1 successfully evokes the 'serene yet lively' mood with warm lighting and smooth motion.", "reason_2": "The severe distortions in Video 2 create an uncanny and disturbing atmosphere, completely failing the 'serene' requirement.", "score_1": 9, "score_2": 1}, {"name": "Color Harmony (Warm vs. Cool Contrast)", "reason_1": "Video 1 beautifully balances the warm shop lights against the cool, misty street tones.", "reason_2": "Video 2 has a washed-out color palette with less distinct contrast between the light sources and the environment.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video is aesthetically pleasing and looks like a coherent cinematic shot.", "reason_2": "The video is visually unappealing due to the heavy artifacts and lack of structural integrity.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully creates the 'harmonious urban symphony' vibe through good lighting and composition. Video 2 is visually disturbing due to the artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior visual stability, realistic rendering of environmental textures (wet pavement, reflections), and coherent subject motion. While both videos fail the specific 'high vantage point' instruction, Video 1 successfully captures the atmospheric mood and lighting described. Video 2 suffers from severe morphological instability, with pedestrians and vehicles distorting and melting, which completely breaks the realism and aesthetic appeal.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 55.091} +{"pair_id": "013_seed_310", "sample_index": 13, "seed": 310, "prompt": "A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_013_seed_310_A static camera captures a model standing confiden.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_013_seed_310_A static camera captures a model standing confiden.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_013_seed_310_A static camera captures a model standing confiden.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_013_seed_310_A static camera captures a model standing confiden.mp4", "swapped": true, "success": true, "model_output": "{\n \"prompt\": \"A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.\",\n \"categories\":\n \"A. Semantic Alignment & Accuracy\",\n \"B. Video Quality & Dynamic Realism\",\n \"C. Narrative, Aesthetics & Cinematography\",\n \"D. Material Physics & Textural Fidelity\",\n \"E. Anatomical & Structural Logic\",\n \"reason_1\": \"Video 1 accurately depicts the gray t-shirt, the snug fit, and the neutral background. It captures the 'subtle movements' of the fabric well. It misses the 'close-up shots' instruction (remaining a medium shot) and the 'serene expression' (head is cropped), but fulfills the core subject requirements.\",\n \"reason_2\": \"Video 2 also captures the basic subject and color correctly. However, the representation of the 'cotton' material is less convincing due to the artificial texture, making it slightly less semantically accurate regarding the 'softness and breathability' requirement.\",\n \"score_1\": 6, \"score_2\": 4},\n \"B. Video Quality & Dynamic Realism\",\n \"B.1. Texture Temporal Stability\",\n \"reason_1\": \"The fabric texture in Video 1 is rock-solid and consistent across all frames, behaving exactly like real cotton.\",\n \"reason_2\": \"Video 2 exhibits severe 'texture boiling' or shimmering, where the noise pattern on the shirt changes rapidly and unnaturally between frames.\",\n \"score_1\": 9, \"score_2\": 1,\n \"B.2. Photorealistic Rendering\",\n \"reason_1\": \"The lighting, skin tones, and fabric shading in Video 1 are indistinguishable from real footage.\",\n \"reason_2\": \"Video 2 has a distinct 'CGI' or synthetic look, particularly in the flat lighting and the unnatural grain of the shirt.\",\n \"score_1\": 8, \"score_2\": 2,\n \"B.3. Motion Naturalness\",\n \"reason_1\": \"The subtle breathing and posture shifts in Video 1 are fluid and organic.\",\n \"reason_2\": \"The motion in Video 2 feels slightly stiff, and the texture noise distracts from any actual physical movement.\",\n \"score_1\": 7, \"score_2\": 3},\n \"C. Narrative, Aesthetics & Cinematography\",\n \"C.1. Lighting & Depth\",\n \"reason_1\": \"Video 1 uses soft, directional lighting that creates realistic shadows around the neck and collar, adding depth.\",\n \"reason_2\": \"Video 2 is lit very flatly, resulting in a lack of depth and a less professional aesthetic.\",\n \"score_1\": 7, \"score_2\": 3,\n \"C.2. Visual Appeal\",\n \"reason_1\": \"The overall image is clean, sharp, and visually pleasing.\",\n \"reason_2\": \"The visual appeal is diminished by the distracting visual noise on the shirt.\",\n \"score_1\": 7, \"score_2\": 3},\n \"D. Material Physics & Textural Fidelity\",\n \"D.1. Fabric Weave Simulation\",\n \"reason_1\": \"Video 1 renders the heather gray cotton weave with high fidelity, showing the interplay of light on the fibers.\",\n \"reason_2\": \"Video 2 fails to render a convincing weave; the texture looks like digital noise or a low-resolution pattern map.\",\n \"score_1\": 9, \"score_2\": 1,\n \"D.2. Seam & Stitching Definition\",\n \"reason_1\": \"The stitching around the collar and shoulders in Video 1 is sharp and looks like actual thread.\",\n \"reason_2\": \"The seams in Video 2 are visible but lack the crisp definition of real stitching, appearing somewhat painted on.\",\n \"score_1\": 7, \"score_2\": 3,\n \"D.3. Drape & Fit Accuracy\",\n \"reason_1\": \"The shirt in Video 1 drapes naturally over the body, showing tension and folds consistent with a snug fit.\",\n \"score_1\": 8, \"score_2\": 2},\n \"E. Anatomical & Structural Logic\",\n \"E.1. Neck & Collarbone Structure\",\n \"reason_1\": \"The anatomy of the neck and the placement of the collarbone are rendered realistically.\",\n \"reason_2\": \"The neck area appears slightly blocky and less anatomically refined than Video 1.\",\n \"score_1\": 7, \"score_2\": 3,\n \"E.2. Skin Texture Realism\",\n \"reason_1\": \"The visible skin on the neck and chest has realistic tone and texture.\",\n \"reason_2\": \"The skin looks overly smooth and plastic-like, lacking natural pores or imperfections.\",\n \"score_1\": 8, \"score_2\": 2},\n \"reason_1\": \"Video 1 is the clear winner due to its superior photorealism and temporal stability. It successfully renders the specific material properties of cotton (heather texture, softness) without the distracting artifacts present in Video 2. While both videos crop the face (missing the 'expression' prompt), Video 1 provides a much more convincing representation of the garment's craftsmanship and fit.\",\n \"reason_2\": \"Video 2 suffers from significant texture instability (shimmering) and a flatter, more artificial look that detracts from the realism required by the prompt.\"\n}", "parsed_output": null, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": null, "total_score_2": null, "elapsed_sec": 64.206} +{"pair_id": "016_seed_42", "sample_index": 16, "seed": 42, "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_42_A man in a sleek black tracksuit stands poised on.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Springing Upward)\", \"reason_1\": \"Video 1 depicts a clear, powerful vertical jump where the subject springs upward as requested.\", \"reason_2\": \"Video 2 shows the subject flailing and twisting in a glitchy manner that does not resemble a controlled athletic jump.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Sleek Black Tracksuit)\", \"reason_1\": \"The subject is clearly wearing a black tracksuit with visible stripes, matching the 'sleek' description.\", \"reason_2\": \"The subject wears a generic black outfit that lacks the distinct 'tracksuit' aesthetic and appears ill-fitting due to generation errors.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Sunlit Field & Sky)\", \"reason_1\": \"The video features a wide, open grassy field with a clear blue sky, perfectly matching the setting description.\", \"reason_2\": \"The background is a steep, blurry grassy slope with trees, which deviates from the open field implied by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific action of 'springing upward' and the 'sleek black tracksuit' in the correct environment. Video 2 fails to render a coherent jump and the subject's attire is less distinct.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subject maintains a consistent human form throughout the jump.\", \"reason_2\": \"The subject's face and limbs severely distort and melt during the motion, breaking all realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physics & Motion Plausibility\", \"reason_1\": \"The jump follows a logical trajectory with appropriate gravity and momentum.\", \"reason_2\": \"The movement is jerky and unnatural, lacking weight or logical physical interaction with the ground.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image remains sharp and defined, even during the fast motion.\", \"reason_2\": \"The video is plagued by excessive blur and low-resolution artifacts that obscure the subject.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and realism. Video 2 collapses completely in terms of quality, with severe artifacts and loss of subject integrity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing (Full Body)\", \"reason_1\": \"The camera keeps the entire body in frame effectively, allowing the viewer to see the full extension of the jump.\", \"reason_2\": \"The framing is awkward, often cutting off parts of the subject or losing focus on the action.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Dynamic Shadows\", \"reason_1\": \"The lighting is bright and directional, creating the 'dynamic shadows' requested in the prompt.\", \"reason_2\": \"The lighting is flat and inconsistent, failing to accentuate the subject's form.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video looks like a professional sports clip with vibrant colors and clean action.\", \"reason_2\": \"The video is visually unappealing due to the heavy distortion and lack of coherence.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 offers a cinematic, well-composed shot that highlights the athleticism. Video 2 is visually confusing and aesthetically unpleasant due to glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every regard, delivering a coherent, physically plausible, and visually high-quality representation of the prompt. It successfully captures the athletic jump, the specific attire, and the environmental context with stability. Video 2 suffers from severe morphological breakdown, where the subject's face and body distort significantly, and the motion is chaotic and glitchy rather than fluid and powerful.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Springing Upward)", "reason_1": "Video 1 depicts a clear, powerful vertical jump where the subject springs upward as requested.", "reason_2": "Video 2 shows the subject flailing and twisting in a glitchy manner that does not resemble a controlled athletic jump.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Sleek Black Tracksuit)", "reason_1": "The subject is clearly wearing a black tracksuit with visible stripes, matching the 'sleek' description.", "reason_2": "The subject wears a generic black outfit that lacks the distinct 'tracksuit' aesthetic and appears ill-fitting due to generation errors.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Sunlit Field & Sky)", "reason_1": "The video features a wide, open grassy field with a clear blue sky, perfectly matching the setting description.", "reason_2": "The background is a steep, blurry grassy slope with trees, which deviates from the open field implied by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific action of 'springing upward' and the 'sleek black tracksuit' in the correct environment. Video 2 fails to render a coherent jump and the subject's attire is less distinct.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "The subject maintains a consistent human form throughout the jump.", "reason_2": "The subject's face and limbs severely distort and melt during the motion, breaking all realism.", "score_1": 9, "score_2": 1}, {"name": "Physics & Motion Plausibility", "reason_1": "The jump follows a logical trajectory with appropriate gravity and momentum.", "reason_2": "The movement is jerky and unnatural, lacking weight or logical physical interaction with the ground.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image remains sharp and defined, even during the fast motion.", "reason_2": "The video is plagued by excessive blur and low-resolution artifacts that obscure the subject.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and realism. Video 2 collapses completely in terms of quality, with severe artifacts and loss of subject integrity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing (Full Body)", "reason_1": "The camera keeps the entire body in frame effectively, allowing the viewer to see the full extension of the jump.", "reason_2": "The framing is awkward, often cutting off parts of the subject or losing focus on the action.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Dynamic Shadows", "reason_1": "The lighting is bright and directional, creating the 'dynamic shadows' requested in the prompt.", "reason_2": "The lighting is flat and inconsistent, failing to accentuate the subject's form.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video looks like a professional sports clip with vibrant colors and clean action.", "reason_2": "The video is visually unappealing due to the heavy distortion and lack of coherence.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 offers a cinematic, well-composed shot that highlights the athleticism. Video 2 is visually confusing and aesthetically unpleasant due to glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every regard, delivering a coherent, physically plausible, and visually high-quality representation of the prompt. It successfully captures the athletic jump, the specific attire, and the environmental context with stability. Video 2 suffers from severe morphological breakdown, where the subject's face and body distort significantly, and the motion is chaotic and glitchy rather than fluid and powerful.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 52.215} +{"pair_id": "018_seed_930", "sample_index": 18, "seed": 930, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_930_A charming little girl wearing a bright yellow rai.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Attire & Props)\", \"reason_1\": \"Video 1 correctly renders the yellow raincoat, red boots, and colorful umbrella with high clarity.\", \"reason_2\": \"Video 2 also correctly identifies and renders all key clothing and prop attributes specified in the prompt.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Detail (Reflections & Texture)\", \"reason_1\": \"Video 1 excels at the 'puddles reflecting' requirement, showing realistic wet cobblestone textures and light reflections.\", \"reason_2\": \"Video 2 shows a wet street, but the textures are flatter and lack the specific reflective quality requested in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Behavioral Logic (Leash & Interaction)\", \"reason_1\": \"Video 1 depicts the girl holding the leash naturally, maintaining a logical physical connection to the dog.\", \"reason_2\": \"Video 2 fails significantly here; the leash frequently disconnects from the girl's hand or floats independently, breaking the semantic logic of 'holding loosely'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the environmental details and physical interactions more accurately, particularly the wet ground reflections and the logical connection of the leash.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Facial Stability)\", \"reason_1\": \"The girl's face in Video 1 remains consistent, cute, and recognizable throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe facial distortion; the girl's features morph and melt, creating a disturbing 'uncanny valley' effect.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Dog Anatomy)\", \"reason_1\": \"The dog in Video 1 maintains a consistent shape and volume while moving.\", \"reason_2\": \"The dog in Video 2 warps significantly, with its legs and body shape fluctuating unnaturally during the walk cycle.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The walking motion in Video 1 is relatively smooth and grounded.\", \"reason_2\": \"Video 2 exhibits jerky motion and 'sliding' artifacts where the subjects appear to float over the ground rather than step on it.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a stable image, whereas Video 2 suffers from severe hallucinations and morphing of the subjects' faces and bodies.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Tone (Charming vs. Uncanny)\", \"reason_1\": \"Video 1 successfully evokes the 'heartwarming' and 'charming' mood requested.\", \"reason_2\": \"Due to the facial distortions, Video 2 feels creepy and unsettling, completely failing the emotional intent of the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Composition & Depth\", \"reason_1\": \"Video 1 uses a pleasing depth of field that separates the subjects from the background effectively.\", \"reason_2\": \"Video 2 has a flatter look with less sophisticated lighting and composition.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The image is crisp, colorful, and professionally rendered.\", \"reason_2\": \"The video is plagued by visual artifacts and low-fidelity generation that detracts from the viewing experience.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully creates the 'charming' and 'heartwarming' atmosphere requested, while Video 2's visual glitches create an unintentional horror aesthetic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior temporal stability and visual fidelity. It successfully maintains the structural integrity of the girl's face and the dog's anatomy throughout the clip, whereas Video 2 suffers from severe morphological distortions (melting faces, warping limbs). Additionally, Video 1 accurately renders the environmental details like wet cobblestone reflections, which are less distinct in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Attire & Props)", "reason_1": "Video 1 correctly renders the yellow raincoat, red boots, and colorful umbrella with high clarity.", "reason_2": "Video 2 also correctly identifies and renders all key clothing and prop attributes specified in the prompt.", "score_1": 5, "score_2": 5}, {"name": "Environmental Detail (Reflections & Texture)", "reason_1": "Video 1 excels at the 'puddles reflecting' requirement, showing realistic wet cobblestone textures and light reflections.", "reason_2": "Video 2 shows a wet street, but the textures are flatter and lack the specific reflective quality requested in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Behavioral Logic (Leash & Interaction)", "reason_1": "Video 1 depicts the girl holding the leash naturally, maintaining a logical physical connection to the dog.", "reason_2": "Video 2 fails significantly here; the leash frequently disconnects from the girl's hand or floats independently, breaking the semantic logic of 'holding loosely'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the environmental details and physical interactions more accurately, particularly the wet ground reflections and the logical connection of the leash.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Facial Stability)", "reason_1": "The girl's face in Video 1 remains consistent, cute, and recognizable throughout the clip.", "reason_2": "Video 2 suffers from severe facial distortion; the girl's features morph and melt, creating a disturbing 'uncanny valley' effect.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Dog Anatomy)", "reason_1": "The dog in Video 1 maintains a consistent shape and volume while moving.", "reason_2": "The dog in Video 2 warps significantly, with its legs and body shape fluctuating unnaturally during the walk cycle.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The walking motion in Video 1 is relatively smooth and grounded.", "reason_2": "Video 2 exhibits jerky motion and 'sliding' artifacts where the subjects appear to float over the ground rather than step on it.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains a stable image, whereas Video 2 suffers from severe hallucinations and morphing of the subjects' faces and bodies.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Tone (Charming vs. Uncanny)", "reason_1": "Video 1 successfully evokes the 'heartwarming' and 'charming' mood requested.", "reason_2": "Due to the facial distortions, Video 2 feels creepy and unsettling, completely failing the emotional intent of the prompt.", "score_1": 9, "score_2": 1}, {"name": "Visual Composition & Depth", "reason_1": "Video 1 uses a pleasing depth of field that separates the subjects from the background effectively.", "reason_2": "Video 2 has a flatter look with less sophisticated lighting and composition.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The image is crisp, colorful, and professionally rendered.", "reason_2": "The video is plagued by visual artifacts and low-fidelity generation that detracts from the viewing experience.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully creates the 'charming' and 'heartwarming' atmosphere requested, while Video 2's visual glitches create an unintentional horror aesthetic.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior temporal stability and visual fidelity. It successfully maintains the structural integrity of the girl's face and the dog's anatomy throughout the clip, whereas Video 2 suffers from severe morphological distortions (melting faces, warping limbs). Additionally, Video 1 accurately renders the environmental details like wet cobblestone reflections, which are less distinct in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 58.017} +{"pair_id": "021_seed_310", "sample_index": 21, "seed": 310, "prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_310_In a serene sunlit wetland a crocodile glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_310_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_310_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_310_In a serene sunlit wetland a crocodile glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Action Fidelity (Crocodile Gliding)\", \"reason_1\": \"The crocodile in Video 1 is completely static and frozen, failing to execute the 'glides effortlessly' instruction.\", \"reason_2\": \"Video 2 depicts the crocodile actively swimming with body undulation and forward momentum, aligning perfectly with the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Ripples & Patterns)\", \"reason_1\": \"Due to the lack of subject motion, there are no 'gentle ripples trailing behind its powerful tail' as requested.\", \"reason_2\": \"The movement of the crocodile in Video 2 generates realistic water displacement and ripples, fulfilling the environmental description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Interaction (Bird & Crocodile)\", \"reason_1\": \"The bird flies past a static object; there is no sense of a 'harmonious dance' or interaction.\", \"reason_2\": \"The bird flies in close proximity to the moving crocodile, creating a stronger sense of spatial relationship and interaction.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the crocodile 'gliding' and swimming, whereas Video 1 presents a static, frozen subject that fails to meet the action requirements of the prompt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Animation & Physics\", \"reason_1\": \"The crocodile is a rigid, motionless asset. It lacks any biological plausibility or physics-based movement.\", \"reason_2\": \"The crocodile moves with realistic weight and fluidity, and the water reacts naturally to its passage.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp, clear, and high-resolution with distinct details on the bird and landscape.\", \"reason_2\": \"Video 2 is significantly blurry, with low resolution and a lack of definition on the subjects.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The subjects maintain their form perfectly because they do not move.\", \"reason_2\": \"The bird in Video 2 suffers from severe morphing and shape instability during flight.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Although Video 1 is sharper, Video 2 wins this category by default because it is the only one that functions as a video with dynamic physics. Video 1 suffers from a 'frozen subject' hallucination.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a wide shot that clearly displays the wetland, the sky, and both subjects in a balanced composition.\", \"reason_2\": \"Video 2 is obstructed by out-of-focus foreground grass, which blocks the view of the crocodile and clutters the frame.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Serenity)\", \"reason_1\": \"The lighting and stillness of Video 1 effectively capture the 'serene' and 'sunlit' atmosphere described.\", \"reason_2\": \"The chaotic motion blur and obstructed view in Video 2 detract from the requested peaceful atmosphere.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Flow (The Dance)\", \"reason_1\": \"The narrative is stagnant; it feels like a photograph rather than a story of movement.\", \"reason_2\": \"The movement of the crocodile and the flight of the bird create a dynamic narrative flow that matches the 'dance of nature' description.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 1 offers a much more pleasing composition and captures the 'serene' mood better than the cluttered and blurry presentation of Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 2 is the winner because it successfully generates the core dynamic action required by the prompt: the crocodile actually glides through the water, creating ripples and interacting with the environment. Video 1, while visually sharper and cleaner, fails fundamentally as a video generation; the crocodile is a completely static, frozen object with no animation, resembling a still image with a moving bird overlay. Video 2 captures the 'harmonious dance' and physical movement, which is the essence of the prompt, despite its lower resolution and morphological instability.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Action Fidelity (Crocodile Gliding)", "reason_1": "The crocodile in Video 1 is completely static and frozen, failing to execute the 'glides effortlessly' instruction.", "reason_2": "Video 2 depicts the crocodile actively swimming with body undulation and forward momentum, aligning perfectly with the prompt.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Ripples & Patterns)", "reason_1": "Due to the lack of subject motion, there are no 'gentle ripples trailing behind its powerful tail' as requested.", "reason_2": "The movement of the crocodile in Video 2 generates realistic water displacement and ripples, fulfilling the environmental description.", "score_1": 2, "score_2": 8}, {"name": "Subject Interaction (Bird & Crocodile)", "reason_1": "The bird flies past a static object; there is no sense of a 'harmonious dance' or interaction.", "reason_2": "The bird flies in close proximity to the moving crocodile, creating a stronger sense of spatial relationship and interaction.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the crocodile 'gliding' and swimming, whereas Video 1 presents a static, frozen subject that fails to meet the action requirements of the prompt.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Animation & Physics", "reason_1": "The crocodile is a rigid, motionless asset. It lacks any biological plausibility or physics-based movement.", "reason_2": "The crocodile moves with realistic weight and fluidity, and the water reacts naturally to its passage.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp, clear, and high-resolution with distinct details on the bird and landscape.", "reason_2": "Video 2 is significantly blurry, with low resolution and a lack of definition on the subjects.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "The subjects maintain their form perfectly because they do not move.", "reason_2": "The bird in Video 2 suffers from severe morphing and shape instability during flight.", "score_1": 8, "score_2": 2}], "cat_reason": "Although Video 1 is sharper, Video 2 wins this category by default because it is the only one that functions as a video with dynamic physics. Video 1 suffers from a 'frozen subject' hallucination.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses a wide shot that clearly displays the wetland, the sky, and both subjects in a balanced composition.", "reason_2": "Video 2 is obstructed by out-of-focus foreground grass, which blocks the view of the crocodile and clutters the frame.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Serenity)", "reason_1": "The lighting and stillness of Video 1 effectively capture the 'serene' and 'sunlit' atmosphere described.", "reason_2": "The chaotic motion blur and obstructed view in Video 2 detract from the requested peaceful atmosphere.", "score_1": 7, "score_2": 3}, {"name": "Narrative Flow (The Dance)", "reason_1": "The narrative is stagnant; it feels like a photograph rather than a story of movement.", "reason_2": "The movement of the crocodile and the flight of the bird create a dynamic narrative flow that matches the 'dance of nature' description.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 1 offers a much more pleasing composition and captures the 'serene' mood better than the cluttered and blurry presentation of Video 2.", "cat_winner": "Video 1"}], "reason": "Video 2 is the winner because it successfully generates the core dynamic action required by the prompt: the crocodile actually glides through the water, creating ripples and interacting with the environment. Video 1, while visually sharper and cleaner, fails fundamentally as a video generation; the crocodile is a completely static, frozen object with no animation, resembling a still image with a moving bird overlay. Video 2 captures the 'harmonious dance' and physical movement, which is the essence of the prompt, despite its lower resolution and morphological instability.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 43.0, "total_score_2": 47.0, "elapsed_sec": 61.325} +{"pair_id": "024_seed_42", "sample_index": 24, "seed": 42, "prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_42_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_42_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_42_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_42_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Ingredient Completeness & Identification\", \"reason_1\": \"Video 1 clearly displays the chicken, peanuts, peppers, chilies, and rice as requested.\", \"reason_2\": \"Video 2 also successfully generates all the required ingredients with correct colors and types.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Gloss & Texture)\", \"reason_1\": \"The sauce in Video 1 has a realistic, viscous gloss that looks like a savory glaze.\", \"reason_2\": \"The sauce in Video 2 appears overly wet and plastic-like, lacking the specific 'savory' texture described.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Steam Presence)\", \"reason_1\": \"Video 1 features distinct, wispy steam rising from the dish, matching the prompt's atmospheric requirement.\", \"reason_2\": \"Video 2 has very faint or indistinct steam, failing to capture the 'freshly prepared' atmosphere effectively.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Both videos contain all the required ingredients, but Video 1 captures the specific attributes—particularly the 'wisps of steam' and the 'glistening' nature of the sauce—with greater accuracy.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The ingredients in Video 1 maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe morphing; the chicken pieces and peppers warp and change shape unnaturally as the camera moves.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Fidelity & Sharpness\", \"reason_1\": \"Textures remain sharp and defined, distinguishing between the crunch of peanuts and the softness of peppers.\", \"reason_2\": \"The textures become muddy and blurred during motion, losing the definition of individual ingredients.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement of the steam and the subtle camera drift are smooth and physically plausible.\", \"reason_2\": \"The motion feels jittery and causes the subject to distort, breaking the illusion of realism.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the deciding category. Video 1 is stable and coherent. Video 2 suffers from significant hallucinations and warping of the food items during camera movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Appetite Appeal (Mouthwatering Quality)\", \"reason_1\": \"The realistic lighting and texture make the food look genuinely delicious and inviting.\", \"reason_2\": \"The artificial, morphing appearance of the food makes it look unappetizing and fake.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Color Vibrancy\", \"reason_1\": \"Lighting is balanced, highlighting the gloss of the sauce without blowing out highlights.\", \"reason_2\": \"The lighting feels flatter and the colors are slightly oversaturated, contributing to a synthetic look.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The close-up framing is well-balanced, keeping the main subject in focus.\", \"reason_2\": \"The framing is acceptable, but the camera movement detracts from the composition by blurring the edges.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 succeeds in creating an appetizing, commercial-grade food shot. Video 2's visual artifacts destroy the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior temporal stability and realistic texture rendering. It successfully maintains the shape and identity of the ingredients (peanuts, peppers, chicken) throughout the clip, whereas Video 2 suffers from severe morphological distortion where objects warp and melt. Additionally, Video 1 renders the 'wisps of steam' and the 'glossy sauce' with much higher fidelity, creating a genuinely appetizing and photorealistic result.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Ingredient Completeness & Identification", "reason_1": "Video 1 clearly displays the chicken, peanuts, peppers, chilies, and rice as requested.", "reason_2": "Video 2 also successfully generates all the required ingredients with correct colors and types.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Gloss & Texture)", "reason_1": "The sauce in Video 1 has a realistic, viscous gloss that looks like a savory glaze.", "reason_2": "The sauce in Video 2 appears overly wet and plastic-like, lacking the specific 'savory' texture described.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Steam Presence)", "reason_1": "Video 1 features distinct, wispy steam rising from the dish, matching the prompt's atmospheric requirement.", "reason_2": "Video 2 has very faint or indistinct steam, failing to capture the 'freshly prepared' atmosphere effectively.", "score_1": 8, "score_2": 2}], "cat_reason": "Both videos contain all the required ingredients, but Video 1 captures the specific attributes—particularly the 'wisps of steam' and the 'glistening' nature of the sauce—with greater accuracy.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The ingredients in Video 1 maintain their shape and volume consistently throughout the clip.", "reason_2": "Video 2 exhibits severe morphing; the chicken pieces and peppers warp and change shape unnaturally as the camera moves.", "score_1": 9, "score_2": 1}, {"name": "Texture Fidelity & Sharpness", "reason_1": "Textures remain sharp and defined, distinguishing between the crunch of peanuts and the softness of peppers.", "reason_2": "The textures become muddy and blurred during motion, losing the definition of individual ingredients.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence", "reason_1": "The movement of the steam and the subtle camera drift are smooth and physically plausible.", "reason_2": "The motion feels jittery and causes the subject to distort, breaking the illusion of realism.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the deciding category. Video 1 is stable and coherent. Video 2 suffers from significant hallucinations and warping of the food items during camera movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Appetite Appeal (Mouthwatering Quality)", "reason_1": "The realistic lighting and texture make the food look genuinely delicious and inviting.", "reason_2": "The artificial, morphing appearance of the food makes it look unappetizing and fake.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Color Vibrancy", "reason_1": "Lighting is balanced, highlighting the gloss of the sauce without blowing out highlights.", "reason_2": "The lighting feels flatter and the colors are slightly oversaturated, contributing to a synthetic look.", "score_1": 7, "score_2": 3}, {"name": "Composition & Framing", "reason_1": "The close-up framing is well-balanced, keeping the main subject in focus.", "reason_2": "The framing is acceptable, but the camera movement detracts from the composition by blurring the edges.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 succeeds in creating an appetizing, commercial-grade food shot. Video 2's visual artifacts destroy the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior temporal stability and realistic texture rendering. It successfully maintains the shape and identity of the ingredients (peanuts, peppers, chicken) throughout the clip, whereas Video 2 suffers from severe morphological distortion where objects warp and melt. Additionally, Video 1 renders the 'wisps of steam' and the 'glossy sauce' with much higher fidelity, creating a genuinely appetizing and photorealistic result.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 56.671} +{"pair_id": "026_seed_930", "sample_index": 26, "seed": 930, "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_930_In a bustling office environment an Asian man in a.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Emotional Specificity (Furrow & Clench)\", \"reason_1\": \"Video 1 perfectly captures the 'furrow of brow' and 'clench of jaw' with a distinct, readable expression of frustration.\", \"reason_2\": \"Video 2 shows a generic expression of confusion or mild shock, lacking the specific 'clench' or 'furrow' requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Finger Tapping)\", \"reason_1\": \"Video 1 clearly depicts the subject's fingers tapping rhythmically on the desk, a key prompt requirement.\", \"reason_2\": \"Video 2 shows the subject's hands mostly static or moving slightly, but completely misses the 'rhythmic tapping' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Spreadsheets & Clutter)\", \"reason_1\": \"Video 1 includes the paperwork and a screen, but the screen content is generic blue rather than distinct spreadsheets.\", \"reason_2\": \"Video 2 renders the computer screen with clear, legible spreadsheet data, adhering more strictly to that specific detail.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Subject Attributes (Attire & Demographics)\", \"reason_1\": \"Video 1 correctly features an Asian man in a white shirt and navy tie.\", \"reason_2\": \"Video 2 also correctly features an Asian man in a white shirt and navy tie.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 followed the specific behavioral instructions (tapping, facial expression) much more closely than Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Micro-Expression Realism\", \"reason_1\": \"The facial movements in Video 1 are nuanced and realistic, showing the tension in the muscles naturally.\", \"reason_2\": \"The facial movements in Video 2 feel slightly robotic and lack the organic micro-movements of a real human reaction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Lighting\", \"reason_1\": \"Video 1 has excellent lighting and sharpness, resembling high-quality stock footage.\", \"reason_2\": \"Video 2 has a slightly softer, more 'generated' look with less definition in the skin textures.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The motion is fluid and consistent throughout the clip.\", \"reason_2\": \"The motion is generally smooth, though the head turn feels slightly stiff.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 exhibits superior photorealism and naturalistic micro-expressions compared to the slightly stiffer animation of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Tone (Internal Struggle)\", \"reason_1\": \"The video effectively conveys the 'silent protest' and 'internal struggle' through the subject's body language.\", \"reason_2\": \"The video fails to convey a narrative of struggle; the subject simply looks surprised by something external.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement (Zoom Intent)\", \"reason_1\": \"The camera pushes in slightly, focusing attention on the face as requested.\", \"reason_2\": \"The camera is mostly static with a slight pan, lacking the intentional 'zoom in' to heighten tension.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Character Acting & Believability\", \"reason_1\": \"The character's reaction feels grounded and believable as a response to unfair treatment.\", \"reason_2\": \"The character's reaction feels disconnected from the implied context of the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully conveys the narrative of 'internal struggle' and 'silent protest' through acting and camera work.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it accurately captures the specific emotional nuances and physical actions requested in the prompt. It successfully depicts the 'furrowed brow,' 'clenched jaw,' and the 'rhythmic finger tapping,' creating a convincing portrayal of internal frustration. Video 2, while visually high-quality, fails to execute the specific acting cues, resulting in a generic expression of surprise rather than the requested complex mix of disbelief and frustration.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Emotional Specificity (Furrow & Clench)", "reason_1": "Video 1 perfectly captures the 'furrow of brow' and 'clench of jaw' with a distinct, readable expression of frustration.", "reason_2": "Video 2 shows a generic expression of confusion or mild shock, lacking the specific 'clench' or 'furrow' requested.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Finger Tapping)", "reason_1": "Video 1 clearly depicts the subject's fingers tapping rhythmically on the desk, a key prompt requirement.", "reason_2": "Video 2 shows the subject's hands mostly static or moving slightly, but completely misses the 'rhythmic tapping' instruction.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Spreadsheets & Clutter)", "reason_1": "Video 1 includes the paperwork and a screen, but the screen content is generic blue rather than distinct spreadsheets.", "reason_2": "Video 2 renders the computer screen with clear, legible spreadsheet data, adhering more strictly to that specific detail.", "score_1": 4, "score_2": 6}, {"name": "Subject Attributes (Attire & Demographics)", "reason_1": "Video 1 correctly features an Asian man in a white shirt and navy tie.", "reason_2": "Video 2 also correctly features an Asian man in a white shirt and navy tie.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 followed the specific behavioral instructions (tapping, facial expression) much more closely than Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Micro-Expression Realism", "reason_1": "The facial movements in Video 1 are nuanced and realistic, showing the tension in the muscles naturally.", "reason_2": "The facial movements in Video 2 feel slightly robotic and lack the organic micro-movements of a real human reaction.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Lighting", "reason_1": "Video 1 has excellent lighting and sharpness, resembling high-quality stock footage.", "reason_2": "Video 2 has a slightly softer, more 'generated' look with less definition in the skin textures.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Stability", "reason_1": "The motion is fluid and consistent throughout the clip.", "reason_2": "The motion is generally smooth, though the head turn feels slightly stiff.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 exhibits superior photorealism and naturalistic micro-expressions compared to the slightly stiffer animation of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Tone (Internal Struggle)", "reason_1": "The video effectively conveys the 'silent protest' and 'internal struggle' through the subject's body language.", "reason_2": "The video fails to convey a narrative of struggle; the subject simply looks surprised by something external.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement (Zoom Intent)", "reason_1": "The camera pushes in slightly, focusing attention on the face as requested.", "reason_2": "The camera is mostly static with a slight pan, lacking the intentional 'zoom in' to heighten tension.", "score_1": 7, "score_2": 3}, {"name": "Character Acting & Believability", "reason_1": "The character's reaction feels grounded and believable as a response to unfair treatment.", "reason_2": "The character's reaction feels disconnected from the implied context of the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully conveys the narrative of 'internal struggle' and 'silent protest' through acting and camera work.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it accurately captures the specific emotional nuances and physical actions requested in the prompt. It successfully depicts the 'furrowed brow,' 'clenched jaw,' and the 'rhythmic finger tapping,' creating a convincing portrayal of internal frustration. Video 2, while visually high-quality, fails to execute the specific acting cues, resulting in a generic expression of surprise rather than the requested complex mix of disbelief and frustration.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 29.0, "elapsed_sec": 62.235} +{"pair_id": "029_seed_310", "sample_index": 29, "seed": 310, "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_310_In a serene dimly lit studio a graceful Chinese wo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_310_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_310_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_310_In a serene dimly lit studio a graceful Chinese wo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Decor)\", \"reason_1\": \"Video 1 perfectly renders the 'dimly lit studio' with 'soft lighting' and 'minimalist decor' (wooden pillars), creating the requested serene mood.\", \"reason_2\": \"Video 2 ignores the 'dimly lit' instruction, presenting a brightly lit room with harsh spotlights and curtains, resembling a standard dance practice space rather than an artistic studio.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Gown & Hair)\", \"reason_1\": \"The subject wears a gown that appears to be 'silk' with distinct texture, and the hair is long and dark as requested.\", \"reason_2\": \"While the subject is correct, the gown lacks the specific 'silk' texture definition, appearing more like generic red fabric, and the hair movement is less distinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Action Fidelity (Twirls & Camera Movement)\", \"reason_1\": \"The video executes the 'camera circles around her' instruction smoothly while maintaining the dancer's focus.\", \"reason_2\": \"The camera movement is present but feels less intentional, and the dancer's movements are marred by the morphing of the dress, reducing the sense of 'precision'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the specific atmospheric and environmental details requested, whereas Video 2 fails to match the lighting and setting description.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Dress Physics)\", \"reason_1\": \"The complex red gown maintains its volume and shape consistently during the spin, with realistic folding.\", \"reason_2\": \"The dress suffers from severe hallucination; the fabric merges with the dancer's arms and body, losing structural logic during the spin.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The dancer's facial features remain relatively consistent and recognizable throughout the rotation.\", \"reason_2\": \"The subject's face distorts significantly during the movement, losing identity and becoming blurry.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear definition between the subject and the background.\", \"reason_2\": \"The video has a softer, lower-resolution look with noticeable blurring around the moving limbs.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior stability in handling complex motion, particularly the physics of the flowing dress, which is a common failure point in AI video.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"The lighting is dramatic and moody, effectively highlighting the dancer and creating the 'mesmerizing visual symphony' described.\", \"reason_2\": \"The lighting is flat and functional, lacking any artistic or emotional weight.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Expression of Grace & Artistry\", \"reason_1\": \"The slow-motion effect and fluid camera work enhance the perception of 'grace' and 'elegance'.\", \"reason_2\": \"The jerky motion and lack of atmospheric support make the dance feel mechanical rather than artistic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is well-framed within the architectural elements of the room, creating a balanced composition.\", \"reason_2\": \"The framing is somewhat loose, and the background elements (curtains) distract from the subject.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 achieves a cinematic look that elevates the content to the 'artistry' level described in the prompt, while Video 2 feels like raw footage.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the atmospheric constraints of the prompt ('dimly lit', 'serene', 'soft lighting') and maintains high morphological stability during the complex motion of the spinning dress. Video 2 fails to capture the requested lighting atmosphere, presenting a bright, generic studio, and suffers from significant distortion and loss of subject identity during the dance movements.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Decor)", "reason_1": "Video 1 perfectly renders the 'dimly lit studio' with 'soft lighting' and 'minimalist decor' (wooden pillars), creating the requested serene mood.", "reason_2": "Video 2 ignores the 'dimly lit' instruction, presenting a brightly lit room with harsh spotlights and curtains, resembling a standard dance practice space rather than an artistic studio.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Gown & Hair)", "reason_1": "The subject wears a gown that appears to be 'silk' with distinct texture, and the hair is long and dark as requested.", "reason_2": "While the subject is correct, the gown lacks the specific 'silk' texture definition, appearing more like generic red fabric, and the hair movement is less distinct.", "score_1": 7, "score_2": 3}, {"name": "Action Fidelity (Twirls & Camera Movement)", "reason_1": "The video executes the 'camera circles around her' instruction smoothly while maintaining the dancer's focus.", "reason_2": "The camera movement is present but feels less intentional, and the dancer's movements are marred by the morphing of the dress, reducing the sense of 'precision'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the specific atmospheric and environmental details requested, whereas Video 2 fails to match the lighting and setting description.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Dress Physics)", "reason_1": "The complex red gown maintains its volume and shape consistently during the spin, with realistic folding.", "reason_2": "The dress suffers from severe hallucination; the fabric merges with the dancer's arms and body, losing structural logic during the spin.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The dancer's facial features remain relatively consistent and recognizable throughout the rotation.", "reason_2": "The subject's face distorts significantly during the movement, losing identity and becoming blurry.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear definition between the subject and the background.", "reason_2": "The video has a softer, lower-resolution look with noticeable blurring around the moving limbs.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior stability in handling complex motion, particularly the physics of the flowing dress, which is a common failure point in AI video.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "The lighting is dramatic and moody, effectively highlighting the dancer and creating the 'mesmerizing visual symphony' described.", "reason_2": "The lighting is flat and functional, lacking any artistic or emotional weight.", "score_1": 9, "score_2": 1}, {"name": "Expression of Grace & Artistry", "reason_1": "The slow-motion effect and fluid camera work enhance the perception of 'grace' and 'elegance'.", "reason_2": "The jerky motion and lack of atmospheric support make the dance feel mechanical rather than artistic.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The subject is well-framed within the architectural elements of the room, creating a balanced composition.", "reason_2": "The framing is somewhat loose, and the background elements (curtains) distract from the subject.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 achieves a cinematic look that elevates the content to the 'artistry' level described in the prompt, while Video 2 feels like raw footage.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the atmospheric constraints of the prompt ('dimly lit', 'serene', 'soft lighting') and maintains high morphological stability during the complex motion of the spinning dress. Video 2 fails to capture the requested lighting atmosphere, presenting a bright, generic studio, and suffers from significant distortion and loss of subject identity during the dance movements.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 59.446} +{"pair_id": "032_seed_42", "sample_index": 32, "seed": 42, "prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_42_A charming Korean male star dressed in a casual wh.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_42_A charming Korean male star dressed in a casual wh.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_42_A charming Korean male star dressed in a casual wh.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_42_A charming Korean male star dressed in a casual wh.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Crafting & Presenting)\", \"reason_1\": \"Video 1 clearly shows the subject rolling the sushi and then extending his hand to present it to the camera, perfectly matching the prompt's narrative arc.\", \"reason_2\": \"Video 2 shows the subject arranging items on a tray, but the specific action of 'crafting' is vague, and the 'presenting' gesture is weak and lacks the intended engagement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Sun-dappled Forest)\", \"reason_1\": \"Video 1 captures the 'sun-dappled' lighting with high contrast and distinct shadows, creating the specific atmosphere requested.\", \"reason_2\": \"Video 2 has a flatter, more diffuse lighting setup that lacks the 'playful shadows' and vibrant contrast described in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Attributes (Attire & Appearance)\", \"reason_1\": \"Video 1 accurately depicts the Korean male star in a white t-shirt and jeans.\", \"reason_2\": \"Video 2 also accurately depicts the subject's appearance and attire as requested.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 follows the prompt's narrative arc more closely, specifically the action of 'presenting' the sushi and the 'sun-dappled' lighting requirement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-definition textures on the wood, food, and clothing.\", \"reason_2\": \"The video appears soft and slightly blurry, lacking the definition seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Stability (Sushi & Props)\", \"reason_1\": \"The sushi roll and table remain solid and consistent in shape throughout the motion.\", \"reason_2\": \"The food items on the tray exhibit slight morphing and lack structural consistency during the subject's movements.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The hand movements are fluid and the interaction with the sushi roll feels physically grounded.\", \"reason_2\": \"The motion is generally smooth but feels slightly more floaty, with less convincing interaction between the hands and the objects.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates significantly higher resolution, sharper textures, and better object stability compared to the softer, slightly morphing visuals of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Color Grading\", \"reason_1\": \"The lighting is dynamic and cinematic, enhancing the 'charming' and 'delightful' mood specified in the prompt.\", \"reason_2\": \"The lighting is flat and the color grading is somewhat washed out, resulting in a less engaging aesthetic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing focuses well on the subject and the action, balancing the forest background with the foreground activity.\", \"reason_2\": \"The framing is wider and feels a bit looser, making the subject feel less central to the 'culinary moment'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Engagement (The Smile)\", \"reason_1\": \"The transition from focus to a warm, engaging smile directed at the camera effectively sells the narrative of 'presenting' the food.\", \"reason_2\": \"The subject smiles, but the connection with the viewer is weaker and feels less like a deliberate narrative beat.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 utilizes superior lighting and composition to create a more professional and aesthetically pleasing result that aligns with the 'charming' and 'delightful' tone of the prompt.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, sharper texture details, and more accurate execution of the specific actions described in the prompt. It captures the 'sun-dappled' lighting and the 'presenting' gesture with much greater clarity and engagement than Video 2, which suffers from softer focus and less distinct object interactions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Crafting & Presenting)", "reason_1": "Video 1 clearly shows the subject rolling the sushi and then extending his hand to present it to the camera, perfectly matching the prompt's narrative arc.", "reason_2": "Video 2 shows the subject arranging items on a tray, but the specific action of 'crafting' is vague, and the 'presenting' gesture is weak and lacks the intended engagement.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Sun-dappled Forest)", "reason_1": "Video 1 captures the 'sun-dappled' lighting with high contrast and distinct shadows, creating the specific atmosphere requested.", "reason_2": "Video 2 has a flatter, more diffuse lighting setup that lacks the 'playful shadows' and vibrant contrast described in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Subject Attributes (Attire & Appearance)", "reason_1": "Video 1 accurately depicts the Korean male star in a white t-shirt and jeans.", "reason_2": "Video 2 also accurately depicts the subject's appearance and attire as requested.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 follows the prompt's narrative arc more closely, specifically the action of 'presenting' the sushi and the 'sun-dappled' lighting requirement.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-definition textures on the wood, food, and clothing.", "reason_2": "The video appears soft and slightly blurry, lacking the definition seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Object Stability (Sushi & Props)", "reason_1": "The sushi roll and table remain solid and consistent in shape throughout the motion.", "reason_2": "The food items on the tray exhibit slight morphing and lack structural consistency during the subject's movements.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Physics", "reason_1": "The hand movements are fluid and the interaction with the sushi roll feels physically grounded.", "reason_2": "The motion is generally smooth but feels slightly more floaty, with less convincing interaction between the hands and the objects.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates significantly higher resolution, sharper textures, and better object stability compared to the softer, slightly morphing visuals of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Color Grading", "reason_1": "The lighting is dynamic and cinematic, enhancing the 'charming' and 'delightful' mood specified in the prompt.", "reason_2": "The lighting is flat and the color grading is somewhat washed out, resulting in a less engaging aesthetic.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing focuses well on the subject and the action, balancing the forest background with the foreground activity.", "reason_2": "The framing is wider and feels a bit looser, making the subject feel less central to the 'culinary moment'.", "score_1": 7, "score_2": 3}, {"name": "Narrative Engagement (The Smile)", "reason_1": "The transition from focus to a warm, engaging smile directed at the camera effectively sells the narrative of 'presenting' the food.", "reason_2": "The subject smiles, but the connection with the viewer is weaker and feels less like a deliberate narrative beat.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 utilizes superior lighting and composition to create a more professional and aesthetically pleasing result that aligns with the 'charming' and 'delightful' tone of the prompt.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, sharper texture details, and more accurate execution of the specific actions described in the prompt. It captures the 'sun-dappled' lighting and the 'presenting' gesture with much greater clarity and engagement than Video 2, which suffers from softer focus and less distinct object interactions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 58.366} +{"pair_id": "034_seed_930", "sample_index": 34, "seed": 930, "prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_930_A vibrant group of Caribbean dancers adorned in da.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Costume Attribute Fidelity (Feathers & Sequins)\", \"reason_1\": \"Video 1 renders the costumes as amorphous, blurry blobs of color without distinct feathers or sequins.\", \"reason_2\": \"Video 2 clearly renders individual feathers, sequins, and the specific turquoise and magenta hues requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Expression & Emotional Tone\", \"reason_1\": \"The faces in Video 1 are severely distorted and nightmarish, completely failing to convey 'joyous' expressions.\", \"reason_2\": \"The dancers in Video 2 have discernible, smiling faces that align with the 'joyous and infectious' prompt requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Specificity (Twirl & Flutter)\", \"reason_1\": \"Video 1 shows chaotic motion where the 'fluttering' is just a smear of pixels rather than a physical action.\", \"reason_2\": \"Video 2 captures the specific mechanics of twirling and the resulting fluttering of the large feather headdresses.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately depicts the specific details of the prompt, including the texture of the feathers and the joyous expressions. Video 1 fails to render these details, resulting in a vague and distorted interpretation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe 'melting' effects where limbs and faces lose their structure entirely during movement.\", \"reason_2\": \"The dancers' bodies in Video 2 maintain logical human proportions and structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Resolution & Sharpness\", \"reason_1\": \"The video is extremely blurry and low-resolution, lacking any fine detail.\", \"reason_2\": \"The video is sharp, allowing the viewer to see the texture of the skin and the fabric of the costumes.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion is jerky and unnatural, with subjects appearing to glitch rather than dance.\", \"reason_2\": \"Movement is fluid and follows the physics of the dance.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains high visual fidelity and stability. Video 1 is plagued by low resolution, severe artifacts, and a complete breakdown of subject permanence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Vibrancy & Color\", \"reason_1\": \"While colorful, the colors are muddy and washed out due to the low quality generation.\", \"reason_2\": \"The colors are vibrant, distinct, and accurately reflect the 'kaleidoscope' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Tracking & Framing\", \"reason_1\": \"The camera work feels random and disorienting, often losing focus on the primary subjects.\", \"reason_2\": \"The camera effectively follows the group, keeping the main dancers in frame as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unpleasant due to the high level of distortion and artifacts.\", \"reason_2\": \"The video is aesthetically pleasing and looks like a professional capture of a carnival.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully captures the festive atmosphere and aesthetic beauty of a carnival. Video 1 is visually unappealing due to technical failures.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is superior in every aspect, offering a high-resolution, stable, and anatomically correct representation of the prompt. It successfully renders the intricate details of the costumes (feathers, sequins) and the joyous expressions of the dancers. Video 1 suffers from severe morphological instability, with faces and bodies melting into unrecognizable shapes, and lacks the visual clarity required to appreciate the details described in the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Costume Attribute Fidelity (Feathers & Sequins)", "reason_1": "Video 1 renders the costumes as amorphous, blurry blobs of color without distinct feathers or sequins.", "reason_2": "Video 2 clearly renders individual feathers, sequins, and the specific turquoise and magenta hues requested.", "score_1": 1, "score_2": 9}, {"name": "Expression & Emotional Tone", "reason_1": "The faces in Video 1 are severely distorted and nightmarish, completely failing to convey 'joyous' expressions.", "reason_2": "The dancers in Video 2 have discernible, smiling faces that align with the 'joyous and infectious' prompt requirement.", "score_1": 1, "score_2": 9}, {"name": "Action Specificity (Twirl & Flutter)", "reason_1": "Video 1 shows chaotic motion where the 'fluttering' is just a smear of pixels rather than a physical action.", "reason_2": "Video 2 captures the specific mechanics of twirling and the resulting fluttering of the large feather headdresses.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately depicts the specific details of the prompt, including the texture of the feathers and the joyous expressions. Video 1 fails to render these details, resulting in a vague and distorted interpretation.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe 'melting' effects where limbs and faces lose their structure entirely during movement.", "reason_2": "The dancers' bodies in Video 2 maintain logical human proportions and structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Texture Resolution & Sharpness", "reason_1": "The video is extremely blurry and low-resolution, lacking any fine detail.", "reason_2": "The video is sharp, allowing the viewer to see the texture of the skin and the fabric of the costumes.", "score_1": 1, "score_2": 9}, {"name": "Motion Coherence", "reason_1": "The motion is jerky and unnatural, with subjects appearing to glitch rather than dance.", "reason_2": "Movement is fluid and follows the physics of the dance.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains high visual fidelity and stability. Video 1 is plagued by low resolution, severe artifacts, and a complete breakdown of subject permanence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Vibrancy & Color", "reason_1": "While colorful, the colors are muddy and washed out due to the low quality generation.", "reason_2": "The colors are vibrant, distinct, and accurately reflect the 'kaleidoscope' description.", "score_1": 2, "score_2": 8}, {"name": "Camera Tracking & Framing", "reason_1": "The camera work feels random and disorienting, often losing focus on the primary subjects.", "reason_2": "The camera effectively follows the group, keeping the main dancers in frame as requested.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unpleasant due to the high level of distortion and artifacts.", "reason_2": "The video is aesthetically pleasing and looks like a professional capture of a carnival.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully captures the festive atmosphere and aesthetic beauty of a carnival. Video 1 is visually unappealing due to technical failures.", "cat_winner": "Video 2"}], "reason": "Video 2 is superior in every aspect, offering a high-resolution, stable, and anatomically correct representation of the prompt. It successfully renders the intricate details of the costumes (feathers, sequins) and the joyous expressions of the dancers. Video 1 suffers from severe morphological instability, with faces and bodies melting into unrecognizable shapes, and lacks the visual clarity required to appreciate the details described in the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 13.0, "total_score_2": 77.0, "elapsed_sec": 57.383} +{"pair_id": "037_seed_310", "sample_index": 37, "seed": 310, "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_310_In a serene traditional Japanese courtyard a group.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_310_In a serene traditional Japanese courtyard a group.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_310_In a serene traditional Japanese courtyard a group.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_310_In a serene traditional Japanese courtyard a group.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Environmental Completeness\", \"reason_1\": \"Video 1 clearly depicts the samurai formation, the courtyard, and the bonsai trees as requested.\", \"reason_2\": \"Video 2 also successfully includes all key semantic elements: the group, the armor, and the specific background details like the gravel and trees.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Camera Movement & Focus Execution\", \"reason_1\": \"Video 1 executes the requested slow pan and zoom effectively, shifting focus from the group to the individual faces.\", \"reason_2\": \"Video 2 follows the camera instructions perfectly, panning across the line and ending with a close-up on a specific warrior's face.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Armor & Weapons)\", \"reason_1\": \"Video 1 renders the armor with high detail, but the katanas appear somewhat thick and lack the sharp, precise definition requested.\", \"reason_2\": \"Video 2 renders the armor with exceptional texture and the katanas with a distinct, sharp curvature that better fits the description of 'precision'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos adhere well to the prompt's structural requirements, but Video 2 edges ahead slightly in the fidelity of the specific attributes, particularly the sharpness of the katanas and the definition of the armor plates.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"The faces in Video 1, particularly in the close-up, suffer from 'AI smoothness' and slight distortion, lacking distinct human features.\", \"reason_2\": \"Video 2 generates a highly realistic face with distinct features (mustache, eyes) that maintains structural integrity even during the camera move.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Texture Fidelity & Material Realism\", \"reason_1\": \"The textures in Video 1 are good but have a slightly plastic or game-engine aesthetic.\", \"reason_2\": \"Video 2 displays superior material rendering; the metal of the armor and the fabric of the undergarments look tangible and photorealistic.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Coherence & Stability\", \"reason_1\": \"The motion is smooth and stable with no significant artifacts.\", \"reason_2\": \"The motion is equally smooth, with the camera movement feeling grounded and realistic.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"This is the deciding category. Video 2 demonstrates significantly better facial anatomy and texture rendering. Video 1's faces appear somewhat artificial and smoothed, whereas Video 2's subject looks like a real human actor.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"The lighting is adequate but somewhat flat, reducing the dramatic impact of the scene.\", \"reason_2\": \"Video 2 utilizes contrast and shadow more effectively, creating a 'gleaming' effect on the armor that enhances the solemn mood.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Emotional Expression & Impact\", \"reason_1\": \"The expression is neutral but lacks the depth of 'unwavering focus' due to the lower fidelity of the face.\", \"reason_2\": \"The close-up in Video 2 captures a convincing expression of seriousness and duty, fulfilling the narrative requirement of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Visual Appeal\", \"reason_1\": \"The composition is standard and functional but lacks a strong focal point until the very end.\", \"reason_2\": \"The framing in Video 2 is more dynamic, using the diagonal line of the formation to lead the eye effectively to the main subject.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 creates a more compelling cinematic experience through better lighting contrast and a more emotive final shot, which aligns better with the prompt's request for 'solemnity' and 'heritage'.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the superior generation primarily due to its higher photorealism and anatomical accuracy. While both videos follow the prompt's semantic instructions well, Video 2 renders the samurai's faces with much greater fidelity, avoiding the slight uncanny valley effect seen in Video 1. Additionally, Video 2 features more dynamic lighting and sharper texture details on the armor, creating a more cinematic and emotionally resonant final shot.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Environmental Completeness", "reason_1": "Video 1 clearly depicts the samurai formation, the courtyard, and the bonsai trees as requested.", "reason_2": "Video 2 also successfully includes all key semantic elements: the group, the armor, and the specific background details like the gravel and trees.", "score_1": 5, "score_2": 5}, {"name": "Camera Movement & Focus Execution", "reason_1": "Video 1 executes the requested slow pan and zoom effectively, shifting focus from the group to the individual faces.", "reason_2": "Video 2 follows the camera instructions perfectly, panning across the line and ending with a close-up on a specific warrior's face.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Armor & Weapons)", "reason_1": "Video 1 renders the armor with high detail, but the katanas appear somewhat thick and lack the sharp, precise definition requested.", "reason_2": "Video 2 renders the armor with exceptional texture and the katanas with a distinct, sharp curvature that better fits the description of 'precision'.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos adhere well to the prompt's structural requirements, but Video 2 edges ahead slightly in the fidelity of the specific attributes, particularly the sharpness of the katanas and the definition of the armor plates.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "The faces in Video 1, particularly in the close-up, suffer from 'AI smoothness' and slight distortion, lacking distinct human features.", "reason_2": "Video 2 generates a highly realistic face with distinct features (mustache, eyes) that maintains structural integrity even during the camera move.", "score_1": 3, "score_2": 7}, {"name": "Texture Fidelity & Material Realism", "reason_1": "The textures in Video 1 are good but have a slightly plastic or game-engine aesthetic.", "reason_2": "Video 2 displays superior material rendering; the metal of the armor and the fabric of the undergarments look tangible and photorealistic.", "score_1": 4, "score_2": 6}, {"name": "Motion Coherence & Stability", "reason_1": "The motion is smooth and stable with no significant artifacts.", "reason_2": "The motion is equally smooth, with the camera movement feeling grounded and realistic.", "score_1": 5, "score_2": 5}], "cat_reason": "This is the deciding category. Video 2 demonstrates significantly better facial anatomy and texture rendering. Video 1's faces appear somewhat artificial and smoothed, whereas Video 2's subject looks like a real human actor.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "The lighting is adequate but somewhat flat, reducing the dramatic impact of the scene.", "reason_2": "Video 2 utilizes contrast and shadow more effectively, creating a 'gleaming' effect on the armor that enhances the solemn mood.", "score_1": 4, "score_2": 6}, {"name": "Emotional Expression & Impact", "reason_1": "The expression is neutral but lacks the depth of 'unwavering focus' due to the lower fidelity of the face.", "reason_2": "The close-up in Video 2 captures a convincing expression of seriousness and duty, fulfilling the narrative requirement of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Composition & Visual Appeal", "reason_1": "The composition is standard and functional but lacks a strong focal point until the very end.", "reason_2": "The framing in Video 2 is more dynamic, using the diagonal line of the formation to lead the eye effectively to the main subject.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 creates a more compelling cinematic experience through better lighting contrast and a more emotive final shot, which aligns better with the prompt's request for 'solemnity' and 'heritage'.", "cat_winner": "Video 2"}], "reason": "Video 2 is the superior generation primarily due to its higher photorealism and anatomical accuracy. While both videos follow the prompt's semantic instructions well, Video 2 renders the samurai's faces with much greater fidelity, avoiding the slight uncanny valley effect seen in Video 1. Additionally, Video 2 features more dynamic lighting and sharper texture details on the armor, creating a more cinematic and emotionally resonant final shot.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 37.0, "total_score_2": 53.0, "elapsed_sec": 63.308} +{"pair_id": "040_seed_42", "sample_index": 40, "seed": 42, "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_42_A Native American man sprints across a vast desert.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The subject in Video 1 suffers from severe anatomical hallucinations; the face is distorted, and the limbs frequently merge or disappear.\", \"reason_2\": \"Video 2 maintains a consistent human form with recognizable limbs and facial features throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Specificity (Cacti & Mesas)\", \"reason_1\": \"Video 1 depicts a generic desert background where specific elements like cacti are indistinct or missing.\", \"reason_2\": \"Video 2 clearly renders the 'distant mesas and cacti' explicitly requested in the prompt, placing a distinct saguaro cactus in the foreground.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Fidelity (Sprinting Mechanics)\", \"reason_1\": \"The motion in Video 1 resembles a glitchy shuffle rather than a powerful sprint; the subject appears to slide without weight.\", \"reason_2\": \"Video 2 depicts a recognizable sprinting gait with forward momentum, aligning much better with the prompt's instruction to 'sprint'.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately renders the specific environmental details (cacti, mesas) and maintains the structural integrity of the human subject, whereas Video 1 fails to maintain basic anatomical logic.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 exhibits extreme temporal instability; the subject's body shape and clothing morph uncontrollably between frames.\", \"reason_2\": \"Video 2 keeps the subject's volume and shape consistent over time, with only minor fluctuations in the regalia.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image in Video 1 is blurry and lacks texture definition, particularly on the face and clothing.\", \"reason_2\": \"Video 2 is sharper, with clearer definition of the feathers, the desert floor, and the background elements.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion in Video 1 is jerky and unnatural, disrupting the illusion of movement.\", \"reason_2\": \"Video 2 offers a smoother frame rate and more fluid character animation.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates significantly better temporal stability and image clarity. Video 1 is plagued by constant morphing and low-resolution artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a somewhat awkward frontal angle that obscures the sense of speed and distance.\", \"reason_2\": \"Video 2 utilizes a side-profile tracking shot that effectively conveys the 'vast landscape' and the subject's journey across it.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Lighting (Golden Hue)\", \"reason_1\": \"Video 1 has decent lighting but lacks the specific 'golden hue' warmth requested, appearing somewhat washed out.\", \"reason_2\": \"Video 2 captures the 'golden hue' effectively, with warm lighting on the subject and the desert floor that matches the prompt's mood.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Expression (Grace & Determination)\", \"reason_1\": \"Due to the glitchy visuals, Video 1 fails to convey 'grace' or 'determination', looking more like a technical error.\", \"reason_2\": \"Video 2 successfully conveys the narrative of a determined runner moving through a sacred land, aided by the flowing regalia and steady pace.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 employs a cinematic profile shot that enhances the sense of speed and journey, supported by better lighting that matches the 'golden hue' description.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to superior anatomical consistency, higher visual fidelity, and a more accurate depiction of the prompt's environmental details. While Video 1 suffers from severe morphological distortion and a lack of coherent motion, Video 2 successfully renders a recognizable human figure sprinting with a stable gait, distinct environmental elements like the cacti and mesas, and a cinematic composition that captures the requested 'golden hue' and sense of journey.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Anatomical Logic", "reason_1": "The subject in Video 1 suffers from severe anatomical hallucinations; the face is distorted, and the limbs frequently merge or disappear.", "reason_2": "Video 2 maintains a consistent human form with recognizable limbs and facial features throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Environmental Specificity (Cacti & Mesas)", "reason_1": "Video 1 depicts a generic desert background where specific elements like cacti are indistinct or missing.", "reason_2": "Video 2 clearly renders the 'distant mesas and cacti' explicitly requested in the prompt, placing a distinct saguaro cactus in the foreground.", "score_1": 3, "score_2": 7}, {"name": "Action Fidelity (Sprinting Mechanics)", "reason_1": "The motion in Video 1 resembles a glitchy shuffle rather than a powerful sprint; the subject appears to slide without weight.", "reason_2": "Video 2 depicts a recognizable sprinting gait with forward momentum, aligning much better with the prompt's instruction to 'sprint'.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately renders the specific environmental details (cacti, mesas) and maintains the structural integrity of the human subject, whereas Video 1 fails to maintain basic anatomical logic.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability", "reason_1": "Video 1 exhibits extreme temporal instability; the subject's body shape and clothing morph uncontrollably between frames.", "reason_2": "Video 2 keeps the subject's volume and shape consistent over time, with only minor fluctuations in the regalia.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image in Video 1 is blurry and lacks texture definition, particularly on the face and clothing.", "reason_2": "Video 2 is sharper, with clearer definition of the feathers, the desert floor, and the background elements.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness", "reason_1": "The motion in Video 1 is jerky and unnatural, disrupting the illusion of movement.", "reason_2": "Video 2 offers a smoother frame rate and more fluid character animation.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates significantly better temporal stability and image clarity. Video 1 is plagued by constant morphing and low-resolution artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a somewhat awkward frontal angle that obscures the sense of speed and distance.", "reason_2": "Video 2 utilizes a side-profile tracking shot that effectively conveys the 'vast landscape' and the subject's journey across it.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Lighting (Golden Hue)", "reason_1": "Video 1 has decent lighting but lacks the specific 'golden hue' warmth requested, appearing somewhat washed out.", "reason_2": "Video 2 captures the 'golden hue' effectively, with warm lighting on the subject and the desert floor that matches the prompt's mood.", "score_1": 4, "score_2": 6}, {"name": "Narrative Expression (Grace & Determination)", "reason_1": "Due to the glitchy visuals, Video 1 fails to convey 'grace' or 'determination', looking more like a technical error.", "reason_2": "Video 2 successfully conveys the narrative of a determined runner moving through a sacred land, aided by the flowing regalia and steady pace.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 employs a cinematic profile shot that enhances the sense of speed and journey, supported by better lighting that matches the 'golden hue' description.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to superior anatomical consistency, higher visual fidelity, and a more accurate depiction of the prompt's environmental details. While Video 1 suffers from severe morphological distortion and a lack of coherent motion, Video 2 successfully renders a recognizable human figure sprinting with a stable gait, distinct environmental elements like the cacti and mesas, and a cinematic composition that captures the requested 'golden hue' and sense of journey.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 67.0, "elapsed_sec": 61.006} +{"pair_id": "042_seed_930", "sample_index": 42, "seed": 930, "prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_930_A distinguished East Asian man with short black ha.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Attire & Features)\", \"reason_1\": \"Video 1 correctly depicts the East Asian man, glasses, and suit, but the suit lacks the 'tailored' definition and the glasses appear slightly thick and less 'sleek'.\", \"reason_2\": \"Video 2 renders the 'tailored charcoal suit' with realistic fabric texture and the 'sleek glasses' with a modern, thin frame that fits the description perfectly.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Expression Fidelity (Introspection vs. Warmth)\", \"reason_1\": \"Video 1 leans heavily into 'warmth' with a distinct smile, which slightly contradicts the 'depth of thoughtfulness' and 'introspection' requested.\", \"reason_2\": \"Video 2 captures the 'quiet confidence' and 'thoughtfulness' with a more subtle, reserved expression that aligns better with the 'composed demeanor' described.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Lighting & Contour Emphasis\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and uniform, failing to strongly 'accentuate the contours' of the face as requested.\", \"reason_2\": \"Video 2 utilizes directional lighting that creates soft shadows, effectively highlighting the jawline and facial structure as specified in the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the specific nuances of the prompt—specifically the 'sleek' nature of the glasses and the 'tailored' look of the suit—more accurately than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"The skin texture appears overly smooth and plastic-like, lacking the pores and imperfections of real human skin.\", \"reason_2\": \"The video displays exceptional high-frequency detail, including visible skin pores, fine wrinkles, and realistic hair texture.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Micro-Motion Naturalness\", \"reason_1\": \"The motion is smooth but feels slightly robotic, particularly the blink and the fixed smile.\", \"reason_2\": \"The subject exhibits very subtle, organic movements (slight head tilt, eye focus shifts) that feel more human and less generated.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is clear but has a slight softness/blur typical of lower-tier generation models.\", \"reason_2\": \"The image is crisp and sharp, maintaining high definition even in the fine details of the glasses and facial hair.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates a leap in generation quality, offering photorealistic skin textures and natural micro-movements, whereas Video 1 suffers from the 'waxy' skin effect common in older AI models.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Portrait Aesthetic\", \"reason_1\": \"The aesthetic is functional but resembles a standard ID photo or stock avatar rather than a cinematic portrait.\", \"reason_2\": \"The composition, depth of field, and color grading give the video a high-end, cinematic drama feel.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Character Presence & Depth\", \"reason_1\": \"The character feels somewhat generic due to the lack of textural depth and the standard smiling expression.\", \"reason_2\": \"The subject feels like a specific, realized character with history, fulfilling the prompt's goal to 'invite the viewer to ponder the stories'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Gaze Intensity\", \"reason_1\": \"The gaze is friendly but lacks the 'intensity' mentioned in the prompt.\", \"reason_2\": \"The eyes are rendered with high realism and focus, conveying the requested 'depth of thoughtfulness' and 'quiet confidence'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully evokes the mood of a cinematic character study, whereas Video 1 feels more like a generic corporate headshot.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior photorealism and more sophisticated interpretation of the prompt's atmospheric requirements. While Video 1 provides a competent generation, it suffers from a 'smoothed' AI aesthetic and flatter lighting. Video 2 delivers high-fidelity skin texture, realistic lighting that accentuates facial contours as requested, and a more nuanced expression that perfectly captures the 'quiet confidence' and 'thoughtfulness' described.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Attire & Features)", "reason_1": "Video 1 correctly depicts the East Asian man, glasses, and suit, but the suit lacks the 'tailored' definition and the glasses appear slightly thick and less 'sleek'.", "reason_2": "Video 2 renders the 'tailored charcoal suit' with realistic fabric texture and the 'sleek glasses' with a modern, thin frame that fits the description perfectly.", "score_1": 4, "score_2": 6}, {"name": "Expression Fidelity (Introspection vs. Warmth)", "reason_1": "Video 1 leans heavily into 'warmth' with a distinct smile, which slightly contradicts the 'depth of thoughtfulness' and 'introspection' requested.", "reason_2": "Video 2 captures the 'quiet confidence' and 'thoughtfulness' with a more subtle, reserved expression that aligns better with the 'composed demeanor' described.", "score_1": 4, "score_2": 6}, {"name": "Lighting & Contour Emphasis", "reason_1": "The lighting in Video 1 is somewhat flat and uniform, failing to strongly 'accentuate the contours' of the face as requested.", "reason_2": "Video 2 utilizes directional lighting that creates soft shadows, effectively highlighting the jawline and facial structure as specified in the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the specific nuances of the prompt—specifically the 'sleek' nature of the glasses and the 'tailored' look of the suit—more accurately than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Photorealistic Texture Rendering", "reason_1": "The skin texture appears overly smooth and plastic-like, lacking the pores and imperfections of real human skin.", "reason_2": "The video displays exceptional high-frequency detail, including visible skin pores, fine wrinkles, and realistic hair texture.", "score_1": 2, "score_2": 8}, {"name": "Micro-Motion Naturalness", "reason_1": "The motion is smooth but feels slightly robotic, particularly the blink and the fixed smile.", "reason_2": "The subject exhibits very subtle, organic movements (slight head tilt, eye focus shifts) that feel more human and less generated.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is clear but has a slight softness/blur typical of lower-tier generation models.", "reason_2": "The image is crisp and sharp, maintaining high definition even in the fine details of the glasses and facial hair.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates a leap in generation quality, offering photorealistic skin textures and natural micro-movements, whereas Video 1 suffers from the 'waxy' skin effect common in older AI models.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Portrait Aesthetic", "reason_1": "The aesthetic is functional but resembles a standard ID photo or stock avatar rather than a cinematic portrait.", "reason_2": "The composition, depth of field, and color grading give the video a high-end, cinematic drama feel.", "score_1": 3, "score_2": 7}, {"name": "Character Presence & Depth", "reason_1": "The character feels somewhat generic due to the lack of textural depth and the standard smiling expression.", "reason_2": "The subject feels like a specific, realized character with history, fulfilling the prompt's goal to 'invite the viewer to ponder the stories'.", "score_1": 3, "score_2": 7}, {"name": "Gaze Intensity", "reason_1": "The gaze is friendly but lacks the 'intensity' mentioned in the prompt.", "reason_2": "The eyes are rendered with high realism and focus, conveying the requested 'depth of thoughtfulness' and 'quiet confidence'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully evokes the mood of a cinematic character study, whereas Video 1 feels more like a generic corporate headshot.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior photorealism and more sophisticated interpretation of the prompt's atmospheric requirements. While Video 1 provides a competent generation, it suffers from a 'smoothed' AI aesthetic and flatter lighting. Video 2 delivers high-fidelity skin texture, realistic lighting that accentuates facial contours as requested, and a more nuanced expression that perfectly captures the 'quiet confidence' and 'thoughtfulness' described.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 74.969} +{"pair_id": "045_seed_310", "sample_index": 45, "seed": 310, "prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_310_In a bustling city square amidst the vibrant energ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_310_In a bustling city square amidst the vibrant energ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_310_In a bustling city square amidst the vibrant energ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_310_In a bustling city square amidst the vibrant energ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Eye Color & Hair)\", \"reason_1\": \"Video 1 correctly renders the man's eyes as a deep shade of brown and the woman's hair as auburn.\", \"reason_2\": \"Video 2 fails the specific instruction for the man's eyes, rendering them as light blue/grey instead of the requested deep brown.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Nuance (Curiosity & Warmth)\", \"reason_1\": \"The man's expression in Video 1 is intense and somewhat aggressive, lacking the requested 'warmth' and 'curiosity'.\", \"reason_2\": \"Video 2 perfectly captures the 'curiosity and warmth' in the man's gaze and the 'intrigue' in the woman's, aligning well with the emotional prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (City Square)\", \"reason_1\": \"Video 1 depicts a background that resembles a stone alleyway or narrow street rather than a bustling square.\", \"reason_2\": \"Video 2 provides a background that feels more open and populated, better fitting the description of a 'bustling city square'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 strictly adheres to the specific physical attribute requested for the man's eyes (deep brown), whereas Video 2 hallucinates blue/grey eyes. However, Video 2 captures the emotional semantics better.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity (Skin Texture & Definition)\", \"reason_1\": \"The skin texture in Video 1 appears waxy, over-smoothed, and artificial, lacking high-definition detail.\", \"reason_2\": \"Video 2 displays exceptional high-definition detail, with realistic skin pores, lighting interaction, and hair texture.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability (Facial Structure)\", \"reason_1\": \"Video 1 exhibits noticeable warping and shifting of facial features (especially the man's jaw and eyes) during movement.\", \"reason_2\": \"Video 2 maintains excellent structural integrity of the faces throughout the clip with minimal morphing.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The movement in Video 1 feels slightly robotic and stiff.\", \"reason_2\": \"Video 2 features subtle, natural micro-movements (blinking, slight head turns) that enhance realism.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is vastly superior in technical execution, offering photorealistic skin textures and stable motion, whereas Video 1 suffers from the 'plastic' look common in older generation models.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Connection\", \"reason_1\": \"The connection feels forced and the intensity is off-putting rather than profound.\", \"reason_2\": \"The video successfully conveys a 'silent conversation' and a genuine romantic connection through the subjects' chemistry.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Atmosphere (Golden Glow)\", \"reason_1\": \"The lighting is somewhat flat and harsh, missing the 'gentle glow' requested.\", \"reason_2\": \"Video 2 utilizes soft, warm lighting that effectively creates the 'golden afternoon' atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is tight but feels claustrophobic due to the lack of depth.\", \"reason_2\": \"The composition uses depth of field effectively to isolate the subjects while keeping the context visible, creating a more cinematic look.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully evokes the 'profound moment' and 'golden glow' described in the prompt, creating a cinematic and romantic atmosphere that Video 1 fails to achieve.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly superior visual fidelity, photorealism, and emotional resonance. While Video 1 strictly adheres to the 'brown eyes' constraint, it suffers from waxy skin textures, morphological instability, and an intense, almost aggressive expression that contradicts the requested 'warmth'. Video 2 captures the 'golden afternoon light' and the 'subtle nuances' of the connection with cinematic quality, making it the better overall generation despite the eye color discrepancy.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Eye Color & Hair)", "reason_1": "Video 1 correctly renders the man's eyes as a deep shade of brown and the woman's hair as auburn.", "reason_2": "Video 2 fails the specific instruction for the man's eyes, rendering them as light blue/grey instead of the requested deep brown.", "score_1": 8, "score_2": 2}, {"name": "Expression Nuance (Curiosity & Warmth)", "reason_1": "The man's expression in Video 1 is intense and somewhat aggressive, lacking the requested 'warmth' and 'curiosity'.", "reason_2": "Video 2 perfectly captures the 'curiosity and warmth' in the man's gaze and the 'intrigue' in the woman's, aligning well with the emotional prompt.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (City Square)", "reason_1": "Video 1 depicts a background that resembles a stone alleyway or narrow street rather than a bustling square.", "reason_2": "Video 2 provides a background that feels more open and populated, better fitting the description of a 'bustling city square'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 strictly adheres to the specific physical attribute requested for the man's eyes (deep brown), whereas Video 2 hallucinates blue/grey eyes. However, Video 2 captures the emotional semantics better.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity (Skin Texture & Definition)", "reason_1": "The skin texture in Video 1 appears waxy, over-smoothed, and artificial, lacking high-definition detail.", "reason_2": "Video 2 displays exceptional high-definition detail, with realistic skin pores, lighting interaction, and hair texture.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability (Facial Structure)", "reason_1": "Video 1 exhibits noticeable warping and shifting of facial features (especially the man's jaw and eyes) during movement.", "reason_2": "Video 2 maintains excellent structural integrity of the faces throughout the clip with minimal morphing.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness", "reason_1": "The movement in Video 1 feels slightly robotic and stiff.", "reason_2": "Video 2 features subtle, natural micro-movements (blinking, slight head turns) that enhance realism.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is vastly superior in technical execution, offering photorealistic skin textures and stable motion, whereas Video 1 suffers from the 'plastic' look common in older generation models.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Connection", "reason_1": "The connection feels forced and the intensity is off-putting rather than profound.", "reason_2": "The video successfully conveys a 'silent conversation' and a genuine romantic connection through the subjects' chemistry.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Atmosphere (Golden Glow)", "reason_1": "The lighting is somewhat flat and harsh, missing the 'gentle glow' requested.", "reason_2": "Video 2 utilizes soft, warm lighting that effectively creates the 'golden afternoon' atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition", "reason_1": "The framing is tight but feels claustrophobic due to the lack of depth.", "reason_2": "The composition uses depth of field effectively to isolate the subjects while keeping the context visible, creating a more cinematic look.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully evokes the 'profound moment' and 'golden glow' described in the prompt, creating a cinematic and romantic atmosphere that Video 1 fails to achieve.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly superior visual fidelity, photorealism, and emotional resonance. While Video 1 strictly adheres to the 'brown eyes' constraint, it suffers from waxy skin textures, morphological instability, and an intense, almost aggressive expression that contradicts the requested 'warmth'. Video 2 captures the 'golden afternoon light' and the 'subtle nuances' of the connection with cinematic quality, making it the better overall generation despite the eye color discrepancy.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 33.0, "total_score_2": 57.0, "elapsed_sec": 58.238} +{"pair_id": "048_seed_42", "sample_index": 48, "seed": 42, "prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_42_Amidst a nighttime deluge a solitary figure stride.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Hair & Face)\", \"reason_1\": \"Video 1 perfectly renders the 'wet hair plastered against their forehead' and the 'face set with determination' as requested.\", \"reason_2\": \"Video 2 completely fails this instruction by generating a hood that covers the head, obscuring the hair and face entirely.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Environmental Context (Deluge & Street)\", \"reason_1\": \"Video 1 depicts a heavy, atmospheric rainstorm with appropriate lighting and wet surfaces.\", \"reason_2\": \"Video 2 depicts a street and rain, but the environment feels slightly more generic and less integrated with the subject.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action & Attire Accuracy\", \"reason_1\": \"The figure is striding in a dark, wet coat that appears to be clinging to the form, matching the prompt's description of a 'black trench coat'.\", \"reason_2\": \"The figure is striding, but the coat is lighter in color (grey/white) and the hooded silhouette deviates from the 'trench coat' aesthetic implied by the hair description.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 followed the specific character details (hair, face, expression) which Video 2 ignored by adding a hood.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Hydrodynamic Realism (Rain Interaction)\", \"reason_1\": \"The rain in Video 1 interacts naturally with the light and the subject, creating a believable 'deluge' effect.\", \"reason_2\": \"The rain in Video 2 appears as a chaotic, unnatural spray or particle effect that looks like a graphical glitch rather than water.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent and recognizable throughout the clip.\", \"reason_2\": \"The subject's face is obscured by the hood and the chaotic rain effects, making identity persistence impossible to evaluate positively.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, with clear definition between the subject and the background.\", \"reason_2\": \"The video suffers from visual noise and a lack of focus, particularly around the rain effects.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high visual fidelity and realistic rain physics, whereas Video 2 suffers from chaotic particle effects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Determination & Resilience)\", \"reason_1\": \"The visible expression and body language in Video 1 strongly convey the requested 'resilience' and 'determination'.\", \"reason_2\": \"Video 2 conveys no specific emotion as the face is hidden behind a hood and the chaotic rain distracts from the mood.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"Video 1 utilizes backlighting and reflections on the wet coat to create a moody, cinematic aesthetic.\", \"reason_2\": \"Video 2 has flatter lighting and the atmosphere is ruined by the artificial-looking water spray.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Focus & Composition\", \"reason_1\": \"The camera framing focuses effectively on the subject, aligning with the prompt's instruction to 'reveal the character'.\", \"reason_2\": \"The framing is wider and less focused, failing to draw the viewer's eye to the character's determination.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully captures the mood of resilience and determination through effective framing and lighting.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner primarily due to its strict adherence to the specific character attributes described in the prompt. It correctly depicts the 'wet hair plastered against their forehead' and the 'face set with determination,' whereas Video 2 obscures the subject's head with a hood, failing to show the hair or facial expression. Furthermore, Video 1 renders the rain with cinematic realism, while Video 2 suffers from unnatural, spray-like water artifacts.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Hair & Face)", "reason_1": "Video 1 perfectly renders the 'wet hair plastered against their forehead' and the 'face set with determination' as requested.", "reason_2": "Video 2 completely fails this instruction by generating a hood that covers the head, obscuring the hair and face entirely.", "score_1": 10, "score_2": 0}, {"name": "Environmental Context (Deluge & Street)", "reason_1": "Video 1 depicts a heavy, atmospheric rainstorm with appropriate lighting and wet surfaces.", "reason_2": "Video 2 depicts a street and rain, but the environment feels slightly more generic and less integrated with the subject.", "score_1": 6, "score_2": 4}, {"name": "Action & Attire Accuracy", "reason_1": "The figure is striding in a dark, wet coat that appears to be clinging to the form, matching the prompt's description of a 'black trench coat'.", "reason_2": "The figure is striding, but the coat is lighter in color (grey/white) and the hooded silhouette deviates from the 'trench coat' aesthetic implied by the hair description.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 followed the specific character details (hair, face, expression) which Video 2 ignored by adding a hood.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Hydrodynamic Realism (Rain Interaction)", "reason_1": "The rain in Video 1 interacts naturally with the light and the subject, creating a believable 'deluge' effect.", "reason_2": "The rain in Video 2 appears as a chaotic, unnatural spray or particle effect that looks like a graphical glitch rather than water.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent and recognizable throughout the clip.", "reason_2": "The subject's face is obscured by the hood and the chaotic rain effects, making identity persistence impossible to evaluate positively.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, with clear definition between the subject and the background.", "reason_2": "The video suffers from visual noise and a lack of focus, particularly around the rain effects.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high visual fidelity and realistic rain physics, whereas Video 2 suffers from chaotic particle effects.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Determination & Resilience)", "reason_1": "The visible expression and body language in Video 1 strongly convey the requested 'resilience' and 'determination'.", "reason_2": "Video 2 conveys no specific emotion as the face is hidden behind a hood and the chaotic rain distracts from the mood.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Lighting & Atmosphere", "reason_1": "Video 1 utilizes backlighting and reflections on the wet coat to create a moody, cinematic aesthetic.", "reason_2": "Video 2 has flatter lighting and the atmosphere is ruined by the artificial-looking water spray.", "score_1": 8, "score_2": 2}, {"name": "Camera Focus & Composition", "reason_1": "The camera framing focuses effectively on the subject, aligning with the prompt's instruction to 'reveal the character'.", "reason_2": "The framing is wider and less focused, failing to draw the viewer's eye to the character's determination.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully captures the mood of resilience and determination through effective framing and lighting.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner primarily due to its strict adherence to the specific character attributes described in the prompt. It correctly depicts the 'wet hair plastered against their forehead' and the 'face set with determination,' whereas Video 2 obscures the subject's head with a hood, failing to show the hair or facial expression. Furthermore, Video 1 renders the rain with cinematic realism, while Video 2 suffers from unnatural, spray-like water artifacts.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 55.796} +{"pair_id": "050_seed_930", "sample_index": 50, "seed": 930, "prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_930_A character stands in a dimly lit room initially c.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Emotional Arc Fidelity (Shock to Relief)\", \"reason_1\": \"Video 1 perfectly captures the transition from a shocked, open-mouthed expression to a softening face and a distinct smile of relief.\", \"reason_2\": \"Video 2 remains stuck in a static state of shock throughout the entire clip, completely failing to generate the requested 'relief' or 'slight smile'.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Camera Movement (Swift Zoom)\", \"reason_1\": \"Video 1 executes a clear, swift zoom-in that focuses attention on the facial expression as requested.\", \"reason_2\": \"Video 2 features a very subtle, slow push-in that lacks the 'swift' and dramatic nature described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Lighting)\", \"reason_1\": \"Video 1 features realistic lighting with shadows and highlights on the face, aligning well with the 'dimly lit' and 'play of light' description.\", \"reason_2\": \"Video 2 uses flat, bright anime-style lighting that contradicts the 'dimly lit' and dramatic shadow requirements.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 followed the complex emotional instructions, specifically the transition from shock to relief. Video 2 failed to depict the second half of the prompt entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Muscle Dynamics\", \"reason_1\": \"The facial movement in Video 1 is highly realistic, showing the complex muscle shifts required to change from a gasp to a smile.\", \"reason_2\": \"Video 2 lacks dynamic facial movement; the expression is rigid and does not animate naturally over time.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 renders skin texture, hair, and clothing with high photorealistic fidelity.\", \"reason_2\": \"Video 2 is a lower-detail anime style generation, which, while clean, lacks the textural depth and realism implied by the lighting description.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion in Video 1 is fluid and continuous.\", \"reason_2\": \"Video 2 has a lower effective frame rate feel, appearing more like a sequence of slightly shifting images than a fluid video.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high-quality photorealistic rendering with complex facial muscle dynamics. Video 2 is a simpler 2D animation with limited motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 tells the complete micro-story: the surprise happens, and the character processes it into relief.\", \"reason_2\": \"Video 2 only depicts the initial surprise, leaving the narrative feeling incomplete and unresolved.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Emotional Impact\", \"reason_1\": \"The realistic acting in Video 1 effectively conveys the feeling of being startled and then relieved.\", \"reason_2\": \"The static expression in Video 2 fails to evoke a strong emotional response or convey the character's internal state change.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Focus\", \"reason_1\": \"The combination of the zoom and the lighting in Video 1 successfully directs the viewer's eye to the emotional shift.\", \"reason_2\": \"Video 2 lacks cinematic intent; the framing is standard and does not emphasize the 'vivid emotional journey' effectively.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully tells the short story of a reaction and a resolution. Video 2 is a static shot with no narrative progression.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner because it faithfully executes the full narrative arc required by the prompt, specifically the transition from shock to relief and the emergence of a smile. Video 2, while visually consistent as an anime style, fails to progress the emotional state, remaining stuck in a static expression of shock throughout the clip.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Emotional Arc Fidelity (Shock to Relief)", "reason_1": "Video 1 perfectly captures the transition from a shocked, open-mouthed expression to a softening face and a distinct smile of relief.", "reason_2": "Video 2 remains stuck in a static state of shock throughout the entire clip, completely failing to generate the requested 'relief' or 'slight smile'.", "score_1": 10, "score_2": 0}, {"name": "Camera Movement (Swift Zoom)", "reason_1": "Video 1 executes a clear, swift zoom-in that focuses attention on the facial expression as requested.", "reason_2": "Video 2 features a very subtle, slow push-in that lacks the 'swift' and dramatic nature described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Lighting)", "reason_1": "Video 1 features realistic lighting with shadows and highlights on the face, aligning well with the 'dimly lit' and 'play of light' description.", "reason_2": "Video 2 uses flat, bright anime-style lighting that contradicts the 'dimly lit' and dramatic shadow requirements.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 followed the complex emotional instructions, specifically the transition from shock to relief. Video 2 failed to depict the second half of the prompt entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Muscle Dynamics", "reason_1": "The facial movement in Video 1 is highly realistic, showing the complex muscle shifts required to change from a gasp to a smile.", "reason_2": "Video 2 lacks dynamic facial movement; the expression is rigid and does not animate naturally over time.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 renders skin texture, hair, and clothing with high photorealistic fidelity.", "reason_2": "Video 2 is a lower-detail anime style generation, which, while clean, lacks the textural depth and realism implied by the lighting description.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The motion in Video 1 is fluid and continuous.", "reason_2": "Video 2 has a lower effective frame rate feel, appearing more like a sequence of slightly shifting images than a fluid video.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high-quality photorealistic rendering with complex facial muscle dynamics. Video 2 is a simpler 2D animation with limited motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Completeness", "reason_1": "Video 1 tells the complete micro-story: the surprise happens, and the character processes it into relief.", "reason_2": "Video 2 only depicts the initial surprise, leaving the narrative feeling incomplete and unresolved.", "score_1": 9, "score_2": 1}, {"name": "Emotional Impact", "reason_1": "The realistic acting in Video 1 effectively conveys the feeling of being startled and then relieved.", "reason_2": "The static expression in Video 2 fails to evoke a strong emotional response or convey the character's internal state change.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Focus", "reason_1": "The combination of the zoom and the lighting in Video 1 successfully directs the viewer's eye to the emotional shift.", "reason_2": "Video 2 lacks cinematic intent; the framing is standard and does not emphasize the 'vivid emotional journey' effectively.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully tells the short story of a reaction and a resolution. Video 2 is a static shot with no narrative progression.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner because it faithfully executes the full narrative arc required by the prompt, specifically the transition from shock to relief and the emergence of a smile. Video 2, while visually consistent as an anime style, fails to progress the emotional state, remaining stuck in a static expression of shock throughout the clip.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 54.461} +{"pair_id": "053_seed_310", "sample_index": 53, "seed": 310, "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_310_In a bustling public square two individuals engage.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_310_In a bustling public square two individuals engage.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_310_In a bustling public square two individuals engage.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_310_In a bustling public square two individuals engage.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Interaction & Gesture Logic\", \"reason_1\": \"Video 1 clearly depicts two distinct individuals engaging in a heated verbal exchange with animated hand gestures, aligning well with the prompt.\", \"reason_2\": \"Video 2 fails to maintain two distinct subjects; the figures merge into one another, and the gestures are indistinguishable from the morphing artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Public Square)\", \"reason_1\": \"The background in Video 1 clearly resembles a European-style public square with buildings and a crowd, matching the setting description.\", \"reason_2\": \"The background in Video 2 is unstable and blurry, lacking the distinct architectural features of a public square.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Crowd & Onlooker Details\", \"reason_1\": \"Video 1 generates a crowd of onlookers behind the main subjects. While their faces are distorted, they are present as requested.\", \"reason_2\": \"Video 2 attempts to show a crowd, but the figures are nightmarish distortions that blend into the main subjects, failing to convey 'curiosity and concern'.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully establishes the core semantic elements: two distinct individuals, a heated argument, and a public square setting. Video 2 fails to maintain the distinction between the two subjects, resulting in a confused semantic representation.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Integrity)\", \"reason_1\": \"The subjects in Video 1 maintain their general shape and volume throughout the clip, despite some facial warping.\", \"reason_2\": \"Video 2 exhibits severe 'melting' where the subjects' heads and bodies lose structural integrity and merge into a single blob.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The man in the white shirt in Video 1 remains recognizable as the same character from start to finish.\", \"reason_2\": \"The characters in Video 2 constantly shift features, clothing, and even gender/age, making identity persistence non-existent.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 has a sharper image with better defined textures on clothing and skin.\", \"reason_2\": \"Video 2 is blurry and muddy, with significant noise and lack of definition in the details.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a baseline of physical solidity, whereas Video 2 exhibits severe hallucinations and morphological breakdown, rendering the video unusable.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a clear medium-close shot that frames the argument well, keeping the focus on the interaction.\", \"reason_2\": \"The framing in Video 2 is chaotic and unstable, often cutting off heads or losing the focal point due to the morphing subjects.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Impact & Atmosphere\", \"reason_1\": \"The body language in Video 1 effectively conveys the 'heated' and 'intense' atmosphere requested.\", \"reason_2\": \"The emotional impact in Video 2 is lost entirely to the distraction of the visual glitches and horror-like distortions.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"Video 1 tells a coherent micro-story of an argument in progress.\", \"reason_2\": \"Video 2 lacks narrative flow; it is a sequence of random, morphing visual states rather than a progressing event.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a watchable scene with a clear focus on the conflict. Video 2 is visually confusing and disturbing due to the technical failures, breaking any narrative immersion.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior structural stability and semantic coherence. While it suffers from typical AI facial distortions, it successfully maintains two distinct subjects engaged in an argument within a recognizable environment. Video 2, conversely, suffers from catastrophic morphological failure, where the subjects' faces and bodies melt, merge, and lose all structural integrity, making the narrative unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Interaction & Gesture Logic", "reason_1": "Video 1 clearly depicts two distinct individuals engaging in a heated verbal exchange with animated hand gestures, aligning well with the prompt.", "reason_2": "Video 2 fails to maintain two distinct subjects; the figures merge into one another, and the gestures are indistinguishable from the morphing artifacts.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Public Square)", "reason_1": "The background in Video 1 clearly resembles a European-style public square with buildings and a crowd, matching the setting description.", "reason_2": "The background in Video 2 is unstable and blurry, lacking the distinct architectural features of a public square.", "score_1": 7, "score_2": 3}, {"name": "Crowd & Onlooker Details", "reason_1": "Video 1 generates a crowd of onlookers behind the main subjects. While their faces are distorted, they are present as requested.", "reason_2": "Video 2 attempts to show a crowd, but the figures are nightmarish distortions that blend into the main subjects, failing to convey 'curiosity and concern'.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully establishes the core semantic elements: two distinct individuals, a heated argument, and a public square setting. Video 2 fails to maintain the distinction between the two subjects, resulting in a confused semantic representation.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Integrity)", "reason_1": "The subjects in Video 1 maintain their general shape and volume throughout the clip, despite some facial warping.", "reason_2": "Video 2 exhibits severe 'melting' where the subjects' heads and bodies lose structural integrity and merge into a single blob.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The man in the white shirt in Video 1 remains recognizable as the same character from start to finish.", "reason_2": "The characters in Video 2 constantly shift features, clothing, and even gender/age, making identity persistence non-existent.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 has a sharper image with better defined textures on clothing and skin.", "reason_2": "Video 2 is blurry and muddy, with significant noise and lack of definition in the details.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains a baseline of physical solidity, whereas Video 2 exhibits severe hallucinations and morphological breakdown, rendering the video unusable.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses a clear medium-close shot that frames the argument well, keeping the focus on the interaction.", "reason_2": "The framing in Video 2 is chaotic and unstable, often cutting off heads or losing the focal point due to the morphing subjects.", "score_1": 7, "score_2": 3}, {"name": "Emotional Impact & Atmosphere", "reason_1": "The body language in Video 1 effectively conveys the 'heated' and 'intense' atmosphere requested.", "reason_2": "The emotional impact in Video 2 is lost entirely to the distraction of the visual glitches and horror-like distortions.", "score_1": 8, "score_2": 2}, {"name": "Narrative Coherence", "reason_1": "Video 1 tells a coherent micro-story of an argument in progress.", "reason_2": "Video 2 lacks narrative flow; it is a sequence of random, morphing visual states rather than a progressing event.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a watchable scene with a clear focus on the conflict. Video 2 is visually confusing and disturbing due to the technical failures, breaking any narrative immersion.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior structural stability and semantic coherence. While it suffers from typical AI facial distortions, it successfully maintains two distinct subjects engaged in an argument within a recognizable environment. Video 2, conversely, suffers from catastrophic morphological failure, where the subjects' faces and bodies melt, merge, and lose all structural integrity, making the narrative unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 57.045} +{"pair_id": "056_seed_42", "sample_index": 56, "seed": 42, "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_42_In a sunlit community center a diverse group of in.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Roster & Cultural Specificity\", \"reason_1\": \"Video 1 clearly depicts the woman in the sari and the elderly man in a suit. While the 'teenager in dashiki' is not clearly distinct, the group feels diverse and culturally specific.\", \"reason_2\": \"Video 2 struggles to maintain the distinct identities of the requested characters, often morphing the elderly man or the woman in the sari into generic or distorted figures.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Action Fidelity: Collaborative Sketching\", \"reason_1\": \"Video 1 explicitly shows the woman writing/sketching on a notepad with a pen, aligning well with the prompt's instruction to 'sketch ideas'.\", \"reason_2\": \"Video 2 shows characters holding papers, but the action is vague, and the interaction with the notepad is less distinct and purposeful.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmosphere & Emotional Tone\", \"reason_1\": \"The video successfully captures the 'warm smiles' and 'camaraderie' requested, with natural-looking expressions.\", \"reason_2\": \"The emotional tone is ruined by the uncanny and distorted facial expressions, which look more frightening than warm.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the primary subjects (woman in sari, elderly man) and the specific action of sketching on a notepad. Video 2 fails to maintain the distinct identities of the characters and struggles with the specific action details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Faces remain structurally sound and recognizable throughout the clip, with only minor AI artifacts.\", \"reason_2\": \"Faces suffer from severe 'melting' and distortion, particularly the elderly man's face, which loses all human structure.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability (Morphing Control)\", \"reason_1\": \"The video is stable with smooth transitions between frames.\", \"reason_2\": \"The video exhibits constant, distracting morphing where characters shift shapes and features randomly between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"Textures of the clothing (sari, suit) and the wooden table are rendered with reasonable sharpness and realism.\", \"reason_2\": \"The image quality is softer and muddier, with textures blending into one another unnaturally.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid structural integrity, whereas Video 2 exhibits severe hallucinations and morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing focuses well on the group interaction and the table, keeping the subjects clearly in view.\", \"reason_2\": \"The framing is erratic, often cutting off heads or focusing on distorted background elements.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Environmental Aesthetics\", \"reason_1\": \"The lighting is bright and consistent, matching the 'sunlit community center' description effectively.\", \"reason_2\": \"The lighting is inconsistent and flat, failing to evoke the specific 'sunlit' atmosphere as effectively as Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"The clip feels like a coherent moment of a larger story, showing a clear interaction.\", \"reason_2\": \"The narrative is lost in the visual noise; it is difficult to follow what is happening due to the constant shifting of the scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a coherent, visually pleasing scene that feels like a captured moment. Video 2 is chaotic and visually unappealing due to the technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual stability and anatomical consistency. It successfully renders the key subjects (woman in sari, elderly man) with recognizable features and maintains a coherent scene throughout. Video 2 suffers from severe temporal instability, with faces and bodies morphing grotesquely, and fails to maintain the identity of the requested characters.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Roster & Cultural Specificity", "reason_1": "Video 1 clearly depicts the woman in the sari and the elderly man in a suit. While the 'teenager in dashiki' is not clearly distinct, the group feels diverse and culturally specific.", "reason_2": "Video 2 struggles to maintain the distinct identities of the requested characters, often morphing the elderly man or the woman in the sari into generic or distorted figures.", "score_1": 7, "score_2": 3}, {"name": "Action Fidelity: Collaborative Sketching", "reason_1": "Video 1 explicitly shows the woman writing/sketching on a notepad with a pen, aligning well with the prompt's instruction to 'sketch ideas'.", "reason_2": "Video 2 shows characters holding papers, but the action is vague, and the interaction with the notepad is less distinct and purposeful.", "score_1": 8, "score_2": 2}, {"name": "Atmosphere & Emotional Tone", "reason_1": "The video successfully captures the 'warm smiles' and 'camaraderie' requested, with natural-looking expressions.", "reason_2": "The emotional tone is ruined by the uncanny and distorted facial expressions, which look more frightening than warm.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the primary subjects (woman in sari, elderly man) and the specific action of sketching on a notepad. Video 2 fails to maintain the distinct identities of the characters and struggles with the specific action details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Faces remain structurally sound and recognizable throughout the clip, with only minor AI artifacts.", "reason_2": "Faces suffer from severe 'melting' and distortion, particularly the elderly man's face, which loses all human structure.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability (Morphing Control)", "reason_1": "The video is stable with smooth transitions between frames.", "reason_2": "The video exhibits constant, distracting morphing where characters shift shapes and features randomly between frames.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "Textures of the clothing (sari, suit) and the wooden table are rendered with reasonable sharpness and realism.", "reason_2": "The image quality is softer and muddier, with textures blending into one another unnaturally.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid structural integrity, whereas Video 2 exhibits severe hallucinations and morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing focuses well on the group interaction and the table, keeping the subjects clearly in view.", "reason_2": "The framing is erratic, often cutting off heads or focusing on distorted background elements.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Environmental Aesthetics", "reason_1": "The lighting is bright and consistent, matching the 'sunlit community center' description effectively.", "reason_2": "The lighting is inconsistent and flat, failing to evoke the specific 'sunlit' atmosphere as effectively as Video 1.", "score_1": 7, "score_2": 3}, {"name": "Narrative Coherence", "reason_1": "The clip feels like a coherent moment of a larger story, showing a clear interaction.", "reason_2": "The narrative is lost in the visual noise; it is difficult to follow what is happening due to the constant shifting of the scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a coherent, visually pleasing scene that feels like a captured moment. Video 2 is chaotic and visually unappealing due to the technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual stability and anatomical consistency. It successfully renders the key subjects (woman in sari, elderly man) with recognizable features and maintains a coherent scene throughout. Video 2 suffers from severe temporal instability, with faces and bodies morphing grotesquely, and fails to maintain the identity of the requested characters.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 60.963} +{"pair_id": "058_seed_930", "sample_index": 58, "seed": 930, "prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_930_In a dimly lit conference room a diverse group of.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Role Identification\", \"reason_1\": \"Video 1 clearly depicts the diverse group, including the woman with glasses and the elderly gentleman, maintaining their roles throughout.\", \"reason_2\": \"Video 2 generates the subjects, but they are inconsistent; the woman with glasses appears and disappears, and the elderly man is barely recognizable due to distortion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action & Gesture Fidelity\", \"reason_1\": \"Video 1 captures the woman gesturing and the man with crossed arms effectively, aligning well with the prompt's action requirements.\", \"reason_2\": \"Video 2 attempts gestures, but they result in severe anatomical errors (melting hands) rather than recognizable human actions.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Lighting & Setting)\", \"reason_1\": \"Video 1 fails the 'dimly lit' instruction, presenting a bright, daylight-lit room, but correctly renders the conference table and blinds.\", \"reason_2\": \"Video 2 also fails the 'dimly lit' instruction and presents a generic, unstable background that lacks the polished detail of Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully establishes the specific characters and their interactions within a stable environment, whereas Video 2's semantic representation is broken by constant morphing and identity loss.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The characters in Video 1 maintain their facial features and clothing details consistently across the clip.\", \"reason_2\": \"Video 2 exhibits severe identity drift; faces morph into different people or distort into unrecognizable shapes from frame to frame.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 maintains solid object permanence and anatomical structure.\", \"reason_2\": \"Video 2 is plagued by 'melting' effects, where heads and hands lose their structural integrity entirely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, clear, and free of significant noise or artifacts.\", \"reason_2\": \"The video is blurry, low-resolution, and contains distracting visual artifacts.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the deciding category. Video 1 is a stable, high-quality generation. Video 2 is a failure case with extreme temporal instability and artifacting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Motion & Flow\", \"reason_1\": \"Video 1 executes a smooth, logical pan across the table, connecting the different subjects as requested.\", \"reason_2\": \"Video 2 has jerky, disjointed camera movements that jump between angles without logical continuity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The lighting (though too bright) and composition are professional and visually coherent.\", \"reason_2\": \"The visual experience is unpleasant due to the constant warping and lack of focus.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"The clip feels like a single, continuous event in a meeting.\", \"reason_2\": \"The clip feels like a series of unrelated, glitchy frames stitched together.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a watchable, cinematic sequence with smooth camera work. Video 2 is visually jarring and disjointed.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates vastly superior temporal stability, subject consistency, and visual fidelity. While both videos struggle with the 'dimly lit' atmospheric instruction, Video 1 successfully renders a coherent scene with recognizable characters performing the requested actions (gesturing, listening) in a stable environment. Video 2 suffers from severe morphological instability, with faces and bodies melting and distorting significantly, rendering the narrative unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Role Identification", "reason_1": "Video 1 clearly depicts the diverse group, including the woman with glasses and the elderly gentleman, maintaining their roles throughout.", "reason_2": "Video 2 generates the subjects, but they are inconsistent; the woman with glasses appears and disappears, and the elderly man is barely recognizable due to distortion.", "score_1": 8, "score_2": 2}, {"name": "Action & Gesture Fidelity", "reason_1": "Video 1 captures the woman gesturing and the man with crossed arms effectively, aligning well with the prompt's action requirements.", "reason_2": "Video 2 attempts gestures, but they result in severe anatomical errors (melting hands) rather than recognizable human actions.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Lighting & Setting)", "reason_1": "Video 1 fails the 'dimly lit' instruction, presenting a bright, daylight-lit room, but correctly renders the conference table and blinds.", "reason_2": "Video 2 also fails the 'dimly lit' instruction and presents a generic, unstable background that lacks the polished detail of Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully establishes the specific characters and their interactions within a stable environment, whereas Video 2's semantic representation is broken by constant morphing and identity loss.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The characters in Video 1 maintain their facial features and clothing details consistently across the clip.", "reason_2": "Video 2 exhibits severe identity drift; faces morph into different people or distort into unrecognizable shapes from frame to frame.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Video 1 maintains solid object permanence and anatomical structure.", "reason_2": "Video 2 is plagued by 'melting' effects, where heads and hands lose their structural integrity entirely.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, clear, and free of significant noise or artifacts.", "reason_2": "The video is blurry, low-resolution, and contains distracting visual artifacts.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the deciding category. Video 1 is a stable, high-quality generation. Video 2 is a failure case with extreme temporal instability and artifacting.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Motion & Flow", "reason_1": "Video 1 executes a smooth, logical pan across the table, connecting the different subjects as requested.", "reason_2": "Video 2 has jerky, disjointed camera movements that jump between angles without logical continuity.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The lighting (though too bright) and composition are professional and visually coherent.", "reason_2": "The visual experience is unpleasant due to the constant warping and lack of focus.", "score_1": 8, "score_2": 2}, {"name": "Narrative Coherence", "reason_1": "The clip feels like a single, continuous event in a meeting.", "reason_2": "The clip feels like a series of unrelated, glitchy frames stitched together.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a watchable, cinematic sequence with smooth camera work. Video 2 is visually jarring and disjointed.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates vastly superior temporal stability, subject consistency, and visual fidelity. While both videos struggle with the 'dimly lit' atmospheric instruction, Video 1 successfully renders a coherent scene with recognizable characters performing the requested actions (gesturing, listening) in a stable environment. Video 2 suffers from severe morphological instability, with faces and bodies melting and distorting significantly, rendering the narrative unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 58.541} +{"pair_id": "061_seed_310", "sample_index": 61, "seed": 310, "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_310_A group of teenagers clad in casual streetwear per.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_310_A group of teenagers clad in casual streetwear per.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_310_A group of teenagers clad in casual streetwear per.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_310_A group of teenagers clad in casual streetwear per.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Quantity & Group Dynamics\", \"reason_1\": \"Video 1 depicts a single rider, failing the explicit instruction for a 'group of teenagers'.\", \"reason_2\": \"Video 2 clearly depicts two distinct figures riding together, satisfying the 'group' requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Specificity (Stunts & Wheelies)\", \"reason_1\": \"The rider in Video 1 is mostly static or sliding; the 'wheelie' is barely perceptible and looks like a glitch.\", \"reason_2\": \"Video 2 shows a clear, sustained wheelie maneuver, aligning well with the 'daring stunts' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Conclusion (Helmet Shot)\", \"reason_1\": \"Video 1 successfully transitions to a close-up of a helmet on the ground at the end.\", \"reason_2\": \"Video 2 also successfully transitions to a close-up of a helmet on the ground at the end.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Highway Traffic)\", \"reason_1\": \"Video 1 correctly places the subject on a highway with cars in the background.\", \"reason_2\": \"Video 2 correctly places the subjects on a highway with cars in the background.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 correctly identifies and renders the 'group' aspect of the prompt, whereas Video 1 fails this basic constraint. Both videos successfully capture the environment and the concluding narrative element.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Form)\", \"reason_1\": \"The rider in Video 1 suffers from severe distortion, with limbs and the bike merging into an amorphous blob.\", \"reason_2\": \"The riders in Video 2 maintain their human shape and the bike's structure remains relatively consistent throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The movement in Video 1 feels floaty and disconnected from the road surface.\", \"reason_2\": \"Video 2 conveys a better sense of momentum and friction as the bike balances on two wheels.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is somewhat blurry and lacks definition in the background elements.\", \"reason_2\": \"The image is sharper, with better definition on the cars and the riders' clothing.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 maintains much higher structural integrity. Video 1's subject is a morphing blob that lacks anatomical logic, while Video 2's subjects remain recognizable as humans on bikes.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Flow (Action to Aftermath)\", \"reason_1\": \"The transition from the rider to the helmet is abrupt and feels like a hard cut rather than a narrative progression.\", \"reason_2\": \"The transition is handled similarly, but the preceding action is more coherent, making the narrative beat land slightly better.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmosphere & Lighting (Sun/Shadows)\", \"reason_1\": \"Video 1 captures the 'long shadows' and sunny atmosphere effectively.\", \"reason_2\": \"Video 2 also captures the lighting well, with distinct shadows cast by the riders and cars.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Camera Tracking & Framing\", \"reason_1\": \"The camera work is shaky and the framing often cuts off the subject awkwardly.\", \"reason_2\": \"The camera tracks the wheelie action smoothly, keeping the subjects well-framed against the traffic.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 provides a more coherent visual experience. The framing allows the viewer to see the stunt clearly, and the transition to the helmet feels like a logical conclusion to the scene.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it adheres to the core semantic requirement of depicting a 'group' of teenagers, whereas Video 1 only shows a single subject. Furthermore, Video 2 demonstrates significantly better morphological stability; the riders and the vehicle maintain a consistent shape, whereas the subject in Video 1 suffers from severe distortion and anatomical hallucinations. Video 2 also executes the specific 'wheelie' stunt more clearly before transitioning to the required ending shot.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Quantity & Group Dynamics", "reason_1": "Video 1 depicts a single rider, failing the explicit instruction for a 'group of teenagers'.", "reason_2": "Video 2 clearly depicts two distinct figures riding together, satisfying the 'group' requirement.", "score_1": 1, "score_2": 9}, {"name": "Action Specificity (Stunts & Wheelies)", "reason_1": "The rider in Video 1 is mostly static or sliding; the 'wheelie' is barely perceptible and looks like a glitch.", "reason_2": "Video 2 shows a clear, sustained wheelie maneuver, aligning well with the 'daring stunts' description.", "score_1": 3, "score_2": 7}, {"name": "Narrative Conclusion (Helmet Shot)", "reason_1": "Video 1 successfully transitions to a close-up of a helmet on the ground at the end.", "reason_2": "Video 2 also successfully transitions to a close-up of a helmet on the ground at the end.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Highway Traffic)", "reason_1": "Video 1 correctly places the subject on a highway with cars in the background.", "reason_2": "Video 2 correctly places the subjects on a highway with cars in the background.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 correctly identifies and renders the 'group' aspect of the prompt, whereas Video 1 fails this basic constraint. Both videos successfully capture the environment and the concluding narrative element.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Form)", "reason_1": "The rider in Video 1 suffers from severe distortion, with limbs and the bike merging into an amorphous blob.", "reason_2": "The riders in Video 2 maintain their human shape and the bike's structure remains relatively consistent throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Grounding", "reason_1": "The movement in Video 1 feels floaty and disconnected from the road surface.", "reason_2": "Video 2 conveys a better sense of momentum and friction as the bike balances on two wheels.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is somewhat blurry and lacks definition in the background elements.", "reason_2": "The image is sharper, with better definition on the cars and the riders' clothing.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 maintains much higher structural integrity. Video 1's subject is a morphing blob that lacks anatomical logic, while Video 2's subjects remain recognizable as humans on bikes.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Flow (Action to Aftermath)", "reason_1": "The transition from the rider to the helmet is abrupt and feels like a hard cut rather than a narrative progression.", "reason_2": "The transition is handled similarly, but the preceding action is more coherent, making the narrative beat land slightly better.", "score_1": 4, "score_2": 6}, {"name": "Atmosphere & Lighting (Sun/Shadows)", "reason_1": "Video 1 captures the 'long shadows' and sunny atmosphere effectively.", "reason_2": "Video 2 also captures the lighting well, with distinct shadows cast by the riders and cars.", "score_1": 5, "score_2": 5}, {"name": "Camera Tracking & Framing", "reason_1": "The camera work is shaky and the framing often cuts off the subject awkwardly.", "reason_2": "The camera tracks the wheelie action smoothly, keeping the subjects well-framed against the traffic.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 provides a more coherent visual experience. The framing allows the viewer to see the stunt clearly, and the transition to the helmet feels like a logical conclusion to the scene.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it adheres to the core semantic requirement of depicting a 'group' of teenagers, whereas Video 1 only shows a single subject. Furthermore, Video 2 demonstrates significantly better morphological stability; the riders and the vehicle maintain a consistent shape, whereas the subject in Video 1 suffers from severe distortion and anatomical hallucinations. Video 2 also executes the specific 'wheelie' stunt more clearly before transitioning to the required ending shot.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 36.0, "total_score_2": 64.0, "elapsed_sec": 61.781} +{"pair_id": "064_seed_42", "sample_index": 64, "seed": 42, "prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_42_In a dimly lit smoke-filled room a diverse group o.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Sequence & Montage Execution\", \"reason_1\": \"Video 1 completely ignores the instruction for a 'montage of preparations' and 'hacking,' remaining a static shot of a meeting.\", \"reason_2\": \"Video 2 successfully transitions from the planning room to a scene depicting a character in a tactical environment (stealth/prep), fulfilling the narrative shift.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Key Subject Identification (Leader & Young Man)\", \"reason_1\": \"Video 1 features a woman in a suit, but the 'young man' is not clearly distinguished or focused on as requested.\", \"reason_2\": \"Video 2 clearly distinguishes the 'sharp-eyed woman' in the suit and provides a distinct close-up of a young man with a furrowed brow, matching the prompt's character descriptions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Atmosphere (Lighting & Props)\", \"reason_1\": \"Video 1 captures the 'dimly lit, smoke-filled' atmosphere and the table clutter (maps/tablets) very effectively.\", \"reason_2\": \"Video 2 also captures the atmosphere well, though the lighting is slightly flatter in the second scene compared to the dramatic lighting of Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 followed the script's timeline, including the specific character focus and the scene change to a preparation context. Video 1 failed to generate the montage or the specific narrative beats.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"The faces in Video 1 are heavily distorted, with melting features and unnatural expressions that break immersion.\", \"reason_2\": \"Video 2 maintains relatively coherent facial structures for the main characters, particularly in the close-up shots.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is soft and lacks definition, appearing somewhat blurry throughout.\", \"reason_2\": \"Video 2 offers a sharper image with better definition of textures on the suits and the map.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Coherence\", \"reason_1\": \"Motion is minimal and feels like a 'breathing' still image rather than active movement.\", \"reason_2\": \"Video 2 handles the transition between scenes and the movement of the characters reasonably well, despite some minor morphing.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates significantly better facial stability and resolution. Video 1 suffers from severe 'melting' artifacts on the characters' faces.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement & Focus Control\", \"reason_1\": \"The camera is largely static, failing to execute the requested 'pan' or 'zoom in' on specific characters.\", \"reason_2\": \"Video 2 effectively simulates the camera zooming in on the young man to capture his expression, adding cinematic value.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Expression & Mood\", \"reason_1\": \"Due to facial distortion, the intended 'intense expressions' and 'doubt' are lost.\", \"reason_2\": \"The close-up on the young man successfully conveys the requested mood of 'grappling with moral implications' and 'doubt'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Flow & Pacing\", \"reason_1\": \"There is no narrative progression; it is a single moment frozen in time.\", \"reason_2\": \"The video progresses logically from the group strategy session to the individual contemplation and preparation, creating a complete micro-story.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 utilizes camera movement to tell a story, whereas Video 1 is a static tableau. Video 2 captures the emotional weight of the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully attempts the complex narrative progression required by the prompt, transitioning from the planning room to a preparation scene. It also correctly identifies and focuses on the specific characters (the woman leader and the young man) with better facial stability. Video 1 remains a static, single-scene shot that ignores the montage instruction and suffers from severe facial distortion.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Sequence & Montage Execution", "reason_1": "Video 1 completely ignores the instruction for a 'montage of preparations' and 'hacking,' remaining a static shot of a meeting.", "reason_2": "Video 2 successfully transitions from the planning room to a scene depicting a character in a tactical environment (stealth/prep), fulfilling the narrative shift.", "score_1": 1, "score_2": 9}, {"name": "Key Subject Identification (Leader & Young Man)", "reason_1": "Video 1 features a woman in a suit, but the 'young man' is not clearly distinguished or focused on as requested.", "reason_2": "Video 2 clearly distinguishes the 'sharp-eyed woman' in the suit and provides a distinct close-up of a young man with a furrowed brow, matching the prompt's character descriptions.", "score_1": 3, "score_2": 7}, {"name": "Environmental Atmosphere (Lighting & Props)", "reason_1": "Video 1 captures the 'dimly lit, smoke-filled' atmosphere and the table clutter (maps/tablets) very effectively.", "reason_2": "Video 2 also captures the atmosphere well, though the lighting is slightly flatter in the second scene compared to the dramatic lighting of Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 followed the script's timeline, including the specific character focus and the scene change to a preparation context. Video 1 failed to generate the montage or the specific narrative beats.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "The faces in Video 1 are heavily distorted, with melting features and unnatural expressions that break immersion.", "reason_2": "Video 2 maintains relatively coherent facial structures for the main characters, particularly in the close-up shots.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is soft and lacks definition, appearing somewhat blurry throughout.", "reason_2": "Video 2 offers a sharper image with better definition of textures on the suits and the map.", "score_1": 3, "score_2": 7}, {"name": "Motion Coherence", "reason_1": "Motion is minimal and feels like a 'breathing' still image rather than active movement.", "reason_2": "Video 2 handles the transition between scenes and the movement of the characters reasonably well, despite some minor morphing.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates significantly better facial stability and resolution. Video 1 suffers from severe 'melting' artifacts on the characters' faces.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement & Focus Control", "reason_1": "The camera is largely static, failing to execute the requested 'pan' or 'zoom in' on specific characters.", "reason_2": "Video 2 effectively simulates the camera zooming in on the young man to capture his expression, adding cinematic value.", "score_1": 2, "score_2": 8}, {"name": "Emotional Expression & Mood", "reason_1": "Due to facial distortion, the intended 'intense expressions' and 'doubt' are lost.", "reason_2": "The close-up on the young man successfully conveys the requested mood of 'grappling with moral implications' and 'doubt'.", "score_1": 3, "score_2": 7}, {"name": "Narrative Flow & Pacing", "reason_1": "There is no narrative progression; it is a single moment frozen in time.", "reason_2": "The video progresses logically from the group strategy session to the individual contemplation and preparation, creating a complete micro-story.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 utilizes camera movement to tell a story, whereas Video 1 is a static tableau. Video 2 captures the emotional weight of the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully attempts the complex narrative progression required by the prompt, transitioning from the planning room to a preparation scene. It also correctly identifies and focuses on the specific characters (the woman leader and the young man) with better facial stability. Video 1 remains a static, single-scene shot that ignores the montage instruction and suffers from severe facial distortion.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 63.282} +{"pair_id": "066_seed_930", "sample_index": 66, "seed": 930, "prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_930_In a bustling school hallway two teenagers stand f.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 accurately renders the red hoodie and black jacket with realistic textures and lighting.\", \"reason_2\": \"Video 2 correctly identifies the clothing colors but renders them in a flat, simplified anime style.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Escalation (Verbal to Physical)\", \"reason_1\": \"Video 1 depicts a clear progression from a tense standoff to physical shoving, matching the prompt's narrative arc.\", \"reason_2\": \"Video 2 shows the characters in a static grappling pose with almost no movement or escalation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Bustling Hallway)\", \"reason_1\": \"Video 1 creates a convincing 3D space with depth, lockers, and a crowd that feels like a real school hallway.\", \"reason_2\": \"Video 2 presents a flat, 2D background that lacks the depth and 'bustling' atmosphere requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 better captures the 'bustling' nature of the environment and the specific action of 'pushing' described in the prompt, whereas Video 2 is static.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Fluidity & Frame Rate\", \"reason_1\": \"Video 1 features smooth, continuous motion consistent with high-quality video generation.\", \"reason_2\": \"Video 2 has a very low frame rate, resembling a slideshow of keyframes rather than a fluid video.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Morphological Stability\", \"reason_1\": \"Video 1 suffers from severe distortion; faces melt and limbs warp unnaturally during the movement.\", \"reason_2\": \"Video 2 maintains consistent character shapes and lines, largely due to its lack of complex motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Texture Detail\", \"reason_1\": \"Video 1 offers high-resolution textures, realistic lighting, and detailed clothing materials.\", \"reason_2\": \"Video 2 uses a simple, flat-shaded anime style with minimal texture detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Despite significant morphing issues, Video 1 provides actual video motion and high visual fidelity, whereas Video 2 is essentially a low-frame-rate animation.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Dynamics (Zoom & Tracking)\", \"reason_1\": \"Video 1 executes the requested 'zoom in' effectively, moving closer to the subjects to heighten intensity.\", \"reason_2\": \"Video 2 utilizes a completely static camera angle with no zoom or movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Intensity & Mood\", \"reason_1\": \"The lighting, depth of field, and motion in Video 1 successfully evoke a tense, dramatic atmosphere.\", \"reason_2\": \"The flat lighting and static nature of Video 2 fail to convey the 'raw emotion' or 'charged atmosphere' effectively.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Pacing\", \"reason_1\": \"Video 1 has a clear beginning, middle, and end, following the escalation of the fight.\", \"reason_2\": \"Video 2 feels like a single frozen moment in time rather than a developing narrative.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 follows the cinematic instructions (zoom, intensity) much better than the static framing of Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the superior generation because it successfully creates a dynamic video sequence with fluid motion, realistic lighting, and the specific camera movement (zoom) requested in the prompt. While it suffers from some morphological instability (warping faces), it captures the 'bustling' atmosphere and the escalation of the conflict far better than Video 2. Video 2, while stylistically consistent as an anime clip, lacks significant motion, appearing more like a slideshow of static frames, and fails to execute the requested camera zoom or the dynamic physical interaction.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 accurately renders the red hoodie and black jacket with realistic textures and lighting.", "reason_2": "Video 2 correctly identifies the clothing colors but renders them in a flat, simplified anime style.", "score_1": 6, "score_2": 4}, {"name": "Action Escalation (Verbal to Physical)", "reason_1": "Video 1 depicts a clear progression from a tense standoff to physical shoving, matching the prompt's narrative arc.", "reason_2": "Video 2 shows the characters in a static grappling pose with almost no movement or escalation.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Bustling Hallway)", "reason_1": "Video 1 creates a convincing 3D space with depth, lockers, and a crowd that feels like a real school hallway.", "reason_2": "Video 2 presents a flat, 2D background that lacks the depth and 'bustling' atmosphere requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 better captures the 'bustling' nature of the environment and the specific action of 'pushing' described in the prompt, whereas Video 2 is static.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Fluidity & Frame Rate", "reason_1": "Video 1 features smooth, continuous motion consistent with high-quality video generation.", "reason_2": "Video 2 has a very low frame rate, resembling a slideshow of keyframes rather than a fluid video.", "score_1": 9, "score_2": 1}, {"name": "Subject Morphological Stability", "reason_1": "Video 1 suffers from severe distortion; faces melt and limbs warp unnaturally during the movement.", "reason_2": "Video 2 maintains consistent character shapes and lines, largely due to its lack of complex motion.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Texture Detail", "reason_1": "Video 1 offers high-resolution textures, realistic lighting, and detailed clothing materials.", "reason_2": "Video 2 uses a simple, flat-shaded anime style with minimal texture detail.", "score_1": 8, "score_2": 2}], "cat_reason": "Despite significant morphing issues, Video 1 provides actual video motion and high visual fidelity, whereas Video 2 is essentially a low-frame-rate animation.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Dynamics (Zoom & Tracking)", "reason_1": "Video 1 executes the requested 'zoom in' effectively, moving closer to the subjects to heighten intensity.", "reason_2": "Video 2 utilizes a completely static camera angle with no zoom or movement.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Intensity & Mood", "reason_1": "The lighting, depth of field, and motion in Video 1 successfully evoke a tense, dramatic atmosphere.", "reason_2": "The flat lighting and static nature of Video 2 fail to convey the 'raw emotion' or 'charged atmosphere' effectively.", "score_1": 8, "score_2": 2}, {"name": "Narrative Pacing", "reason_1": "Video 1 has a clear beginning, middle, and end, following the escalation of the fight.", "reason_2": "Video 2 feels like a single frozen moment in time rather than a developing narrative.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 follows the cinematic instructions (zoom, intensity) much better than the static framing of Video 2.", "cat_winner": "Video 1"}], "reason": "Video 1 is the superior generation because it successfully creates a dynamic video sequence with fluid motion, realistic lighting, and the specific camera movement (zoom) requested in the prompt. While it suffers from some morphological instability (warping faces), it captures the 'bustling' atmosphere and the escalation of the conflict far better than Video 2. Video 2, while stylistically consistent as an anime clip, lacks significant motion, appearing more like a slideshow of static frames, and fails to execute the requested camera zoom or the dynamic physical interaction.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 64.0, "total_score_2": 26.0, "elapsed_sec": 58.332} +{"pair_id": "069_seed_310", "sample_index": 69, "seed": 310, "prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_310_A tense scene unfolds on a bustling urban street w.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_310_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_310_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_310_A tense scene unfolds on a bustling urban street w.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Interaction Logic\", \"reason_1\": \"Video 1 clearly distinguishes between a central group (in red) and the surrounding crowd, creating the requested 'confrontation' dynamic.\", \"reason_2\": \"Video 2 presents a homogenous, chaotic mass of figures with no clear distinction between the 'group' and the 'mob', failing the prompt's narrative requirement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Fidelity (Fear vs. Anger)\", \"reason_1\": \"The subjects in Video 1 display readable expressions of distress, shouting, and anxiety, aligning well with the prompt's request for 'fear and resilience'.\", \"reason_2\": \"The faces in Video 2 are severely distorted and morphing, making it impossible to read specific emotions like 'resilience' or 'anxiety'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Narrow Alleyway)\", \"reason_1\": \"Video 1 depicts a convincing narrow urban alleyway with consistent architectural details.\", \"reason_2\": \"Video 2 suggests an alleyway, but the background is unstable and blends indistinguishably with the subjects.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully establishes the specific conflict described in the prompt, showing a distinct group facing a mob with appropriate emotional cues. Video 2 fails to distinguish the groups and lacks the specific emotional expressions required.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"Video 1 maintains the shape and structure of human faces and bodies reasonably well throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; faces and limbs constantly morph into one another, destroying realism.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The main characters in Video 1 remain recognizable as the same individuals from start to finish.\", \"reason_2\": \"Subjects in Video 2 change appearance rapidly, with hats and clothing shifting textures and shapes randomly.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The movement in Video 1, while slightly floaty, follows a logical path of a crowd surging forward.\", \"reason_2\": \"The motion in Video 2 is jittery and unnatural, with characters appearing to glitch rather than move physically.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid structural integrity, whereas Video 2 is plagued by severe artifacts, morphing, and loss of subject identity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Clarity & Tension\", \"reason_1\": \"The scene in Video 1 clearly conveys a story of a group being cornered and threatened, matching the 'tense scene' description.\", \"reason_2\": \"Video 2 is visually confusing and lacks a clear narrative thread due to the chaotic generation artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"Video 1 utilizes a camera angle that effectively captures the depth of the alley and the crowd's density.\", \"reason_2\": \"The framing in Video 2 is cluttered and unstable, failing to guide the viewer's eye to the key action.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Style & Color Harmony\", \"reason_1\": \"Video 1 features a distinct color palette (reds and whites) that helps separate the subjects visually.\", \"reason_2\": \"Video 2 has a muddy, washed-out look with poor contrast between the subjects and the background.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers a cinematic look with clear framing that supports the narrative of a standoff. Video 2 is visually messy and fails to convey a coherent story.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior temporal stability and semantic accuracy. It successfully depicts a distinct group facing a mob in a narrow alleyway with recognizable human expressions of fear and anger. Video 2 suffers from severe morphological instability, where faces and bodies melt and distort significantly, making the narrative and emotions difficult to discern.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Interaction Logic", "reason_1": "Video 1 clearly distinguishes between a central group (in red) and the surrounding crowd, creating the requested 'confrontation' dynamic.", "reason_2": "Video 2 presents a homogenous, chaotic mass of figures with no clear distinction between the 'group' and the 'mob', failing the prompt's narrative requirement.", "score_1": 8, "score_2": 2}, {"name": "Expression Fidelity (Fear vs. Anger)", "reason_1": "The subjects in Video 1 display readable expressions of distress, shouting, and anxiety, aligning well with the prompt's request for 'fear and resilience'.", "reason_2": "The faces in Video 2 are severely distorted and morphing, making it impossible to read specific emotions like 'resilience' or 'anxiety'.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Narrow Alleyway)", "reason_1": "Video 1 depicts a convincing narrow urban alleyway with consistent architectural details.", "reason_2": "Video 2 suggests an alleyway, but the background is unstable and blends indistinguishably with the subjects.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully establishes the specific conflict described in the prompt, showing a distinct group facing a mob with appropriate emotional cues. Video 2 fails to distinguish the groups and lacks the specific emotional expressions required.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Body)", "reason_1": "Video 1 maintains the shape and structure of human faces and bodies reasonably well throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; faces and limbs constantly morph into one another, destroying realism.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The main characters in Video 1 remain recognizable as the same individuals from start to finish.", "reason_2": "Subjects in Video 2 change appearance rapidly, with hats and clothing shifting textures and shapes randomly.", "score_1": 7, "score_2": 3}, {"name": "Motion Coherence & Physics", "reason_1": "The movement in Video 1, while slightly floaty, follows a logical path of a crowd surging forward.", "reason_2": "The motion in Video 2 is jittery and unnatural, with characters appearing to glitch rather than move physically.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid structural integrity, whereas Video 2 is plagued by severe artifacts, morphing, and loss of subject identity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Clarity & Tension", "reason_1": "The scene in Video 1 clearly conveys a story of a group being cornered and threatened, matching the 'tense scene' description.", "reason_2": "Video 2 is visually confusing and lacks a clear narrative thread due to the chaotic generation artifacts.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion & Framing", "reason_1": "Video 1 utilizes a camera angle that effectively captures the depth of the alley and the crowd's density.", "reason_2": "The framing in Video 2 is cluttered and unstable, failing to guide the viewer's eye to the key action.", "score_1": 7, "score_2": 3}, {"name": "Visual Style & Color Harmony", "reason_1": "Video 1 features a distinct color palette (reds and whites) that helps separate the subjects visually.", "reason_2": "Video 2 has a muddy, washed-out look with poor contrast between the subjects and the background.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers a cinematic look with clear framing that supports the narrative of a standoff. Video 2 is visually messy and fails to convey a coherent story.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior temporal stability and semantic accuracy. It successfully depicts a distinct group facing a mob in a narrow alleyway with recognizable human expressions of fear and anger. Video 2 suffers from severe morphological instability, where faces and bodies melt and distort significantly, making the narrative and emotions difficult to discern.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 59.763} +{"pair_id": "072_seed_42", "sample_index": 72, "seed": 42, "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_42_The camera swiftly navigates through a bustling To.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Futuristic & Sci-Fi Element Integration\", \"reason_1\": \"Video 1 depicts a standard contemporary street with no visible holograms, autonomous vehicles, or futuristic fashion.\", \"reason_2\": \"Video 2 also fails to generate the requested futuristic elements, presenting a standard modern-day street scene instead.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Atmosphere (Rain & Neon)\", \"reason_1\": \"Video 1 features wet pavement, but the lighting is somewhat dull and lacks the 'vivid hues' and 'kaleidoscope' effect requested.\", \"reason_2\": \"Video 2 excels here, displaying vibrant neon reflections on the wet ground that align well with the 'electric blue' and 'fiery red' descriptions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Crowd Density & 'Bustling' Energy\", \"reason_1\": \"The street in Video 1 feels relatively empty and lacks the chaotic energy of a 'bustling' metropolis.\", \"reason_2\": \"Video 2 depicts a much denser crowd and more active traffic, better capturing the 'bustling' and 'sensory overload' aspects of the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 better captures the environmental descriptors like 'bustling', 'vivid hues', and 'dynamic reflections', whereas Video 1 feels emptier and less vibrant.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Morphological Stability\", \"reason_1\": \"The vehicles in Video 1, particularly the blue car, suffer from severe warping and shape-shifting as they move.\", \"reason_2\": \"The vehicles in Video 2 maintain their structural integrity and shape much better throughout the motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is soft, blurry, and lacks texture detail, resembling a low-resolution generation.\", \"reason_2\": \"The video is crisp, with clear details on the pavement, signs, and vehicles, offering a much higher perceived resolution.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion feels slightly floaty and disconnected from the ground.\", \"reason_2\": \"The movement of the cars and camera feels more grounded and fluid, with realistic momentum.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior, offering a sharper image and more stable objects compared to the blurry and warping visuals of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Vibrancy & Palette Accuracy\", \"reason_1\": \"The colors are muted and washed out, failing to deliver the 'vivid hues' and 'electric' feel.\", \"reason_2\": \"The color grading is punchy and saturated, effectively utilizing the neon palette to create a visually engaging scene.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Immersion & Depth\", \"reason_1\": \"The composition is flat and lacks depth, making the scene feel two-dimensional.\", \"reason_2\": \"The use of reflections and the density of the street creates a strong sense of depth and immersion.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to its blurriness and lack of dynamic lighting.\", \"reason_2\": \"Despite missing the sci-fi elements, the video is aesthetically pleasing and looks like high-quality footage of a city night.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 provides a much more visually striking and immersive experience through better color grading and composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"While both videos fail to generate the specific 'futuristic' and 'sci-fi' elements (holograms, autonomous vehicles) requested in the prompt, Video 2 is the clear winner based on technical execution and atmospheric alignment. Video 2 successfully renders the 'bustling' crowd, 'vivid neon hues', and 'rain-soaked pavement' with high visual fidelity and sharpness. In contrast, Video 1 suffers from significant blurriness, low resolution, and morphological instability in the vehicles, failing to capture the energy or quality implied by the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Futuristic & Sci-Fi Element Integration", "reason_1": "Video 1 depicts a standard contemporary street with no visible holograms, autonomous vehicles, or futuristic fashion.", "reason_2": "Video 2 also fails to generate the requested futuristic elements, presenting a standard modern-day street scene instead.", "score_1": 5, "score_2": 5}, {"name": "Environmental Atmosphere (Rain & Neon)", "reason_1": "Video 1 features wet pavement, but the lighting is somewhat dull and lacks the 'vivid hues' and 'kaleidoscope' effect requested.", "reason_2": "Video 2 excels here, displaying vibrant neon reflections on the wet ground that align well with the 'electric blue' and 'fiery red' descriptions.", "score_1": 3, "score_2": 7}, {"name": "Crowd Density & 'Bustling' Energy", "reason_1": "The street in Video 1 feels relatively empty and lacks the chaotic energy of a 'bustling' metropolis.", "reason_2": "Video 2 depicts a much denser crowd and more active traffic, better capturing the 'bustling' and 'sensory overload' aspects of the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 better captures the environmental descriptors like 'bustling', 'vivid hues', and 'dynamic reflections', whereas Video 1 feels emptier and less vibrant.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Morphological Stability", "reason_1": "The vehicles in Video 1, particularly the blue car, suffer from severe warping and shape-shifting as they move.", "reason_2": "The vehicles in Video 2 maintain their structural integrity and shape much better throughout the motion.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is soft, blurry, and lacks texture detail, resembling a low-resolution generation.", "reason_2": "The video is crisp, with clear details on the pavement, signs, and vehicles, offering a much higher perceived resolution.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion feels slightly floaty and disconnected from the ground.", "reason_2": "The movement of the cars and camera feels more grounded and fluid, with realistic momentum.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior, offering a sharper image and more stable objects compared to the blurry and warping visuals of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Vibrancy & Palette Accuracy", "reason_1": "The colors are muted and washed out, failing to deliver the 'vivid hues' and 'electric' feel.", "reason_2": "The color grading is punchy and saturated, effectively utilizing the neon palette to create a visually engaging scene.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Immersion & Depth", "reason_1": "The composition is flat and lacks depth, making the scene feel two-dimensional.", "reason_2": "The use of reflections and the density of the street creates a strong sense of depth and immersion.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to its blurriness and lack of dynamic lighting.", "reason_2": "Despite missing the sci-fi elements, the video is aesthetically pleasing and looks like high-quality footage of a city night.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 provides a much more visually striking and immersive experience through better color grading and composition.", "cat_winner": "Video 2"}], "reason": "While both videos fail to generate the specific 'futuristic' and 'sci-fi' elements (holograms, autonomous vehicles) requested in the prompt, Video 2 is the clear winner based on technical execution and atmospheric alignment. Video 2 successfully renders the 'bustling' crowd, 'vivid neon hues', and 'rain-soaked pavement' with high visual fidelity and sharpness. In contrast, Video 1 suffers from significant blurriness, low resolution, and morphological instability in the vehicles, failing to capture the energy or quality implied by the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 60.909} +{"pair_id": "074_seed_930", "sample_index": 74, "seed": 930, "prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_930_In a magnificent ballroom adorned with intricate g.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory Adherence (Ascent & Pan)\", \"reason_1\": \"Video 1 executes a clear, smooth upward tilt/pan that transitions from the guests to the ceiling, exactly as requested.\", \"reason_2\": \"Video 2 features erratic camera movement that does not follow the 'slow ascent' instruction, resulting in a confusing visual flow.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Moldings, Drapes, Chandelier)\", \"reason_1\": \"The video clearly renders the gold moldings, velvet drapes, and a distinct, detailed chandelier.\", \"reason_2\": \"While the room is opulent, the details are muddy, and the chandelier is poorly defined and lacks the requested 'sparkling' quality.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Action (Graceful Dancing)\", \"reason_1\": \"The guests are shown in a coherent ballroom setting, with poses that suggest dancing and mingling.\", \"reason_2\": \"The subjects are heavily distorted; their movements are glitchy and unnatural, failing to convey 'graceful' dancing.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 faithfully follows the specific camera movement instructions and renders the environmental details with high precision. Video 2 fails to execute the specific 'ascent' and 'pan' trajectory effectively.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Integrity)\", \"reason_1\": \"Subjects maintain their human form and clothing structure throughout the clip.\", \"reason_2\": \"Subjects suffer from severe 'melting' and warping, with limbs and faces losing coherence entirely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined textures on the floor and walls.\", \"reason_2\": \"The video is blurry and lacks definition, appearing like a low-resolution generation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion of both the camera and the subjects is fluid and consistent.\", \"reason_2\": \"The motion is jerky and stuttering, disrupting the realism of the scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a professional level of visual fidelity and stability. Video 2 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing effectively leads the eye from the dance floor up to the chandelier, creating a sense of scale.\", \"reason_2\": \"The framing is haphazard, often cutting off subjects or focusing on distorted areas without artistic intent.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Elegance & Sophistication)\", \"reason_1\": \"The lighting and color palette successfully evoke the requested mood of elegance and sophistication.\", \"reason_2\": \"The visual glitches and distortions create an uncanny and unsettling atmosphere rather than an elegant one.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow (The Reveal)\", \"reason_1\": \"The clip successfully tells the micro-story of the room unfolding to reveal the grand chandelier.\", \"reason_2\": \"There is no clear narrative progression; the clip feels like a random, broken segment.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the 'elegance and sophistication' requested by the prompt through good composition and lighting. Video 2 fails to establish the correct mood due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior adherence to the prompt's structural and aesthetic requirements. It successfully executes the specific camera movement (ascent and pan) to reveal the chandelier, maintains high visual fidelity, and depicts the subjects with reasonable stability. Video 2 suffers from severe morphological distortion, low resolution, and erratic camera movement that fails to follow the narrative direction of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory Adherence (Ascent & Pan)", "reason_1": "Video 1 executes a clear, smooth upward tilt/pan that transitions from the guests to the ceiling, exactly as requested.", "reason_2": "Video 2 features erratic camera movement that does not follow the 'slow ascent' instruction, resulting in a confusing visual flow.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Moldings, Drapes, Chandelier)", "reason_1": "The video clearly renders the gold moldings, velvet drapes, and a distinct, detailed chandelier.", "reason_2": "While the room is opulent, the details are muddy, and the chandelier is poorly defined and lacks the requested 'sparkling' quality.", "score_1": 8, "score_2": 2}, {"name": "Subject Action (Graceful Dancing)", "reason_1": "The guests are shown in a coherent ballroom setting, with poses that suggest dancing and mingling.", "reason_2": "The subjects are heavily distorted; their movements are glitchy and unnatural, failing to convey 'graceful' dancing.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 faithfully follows the specific camera movement instructions and renders the environmental details with high precision. Video 2 fails to execute the specific 'ascent' and 'pan' trajectory effectively.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Integrity)", "reason_1": "Subjects maintain their human form and clothing structure throughout the clip.", "reason_2": "Subjects suffer from severe 'melting' and warping, with limbs and faces losing coherence entirely.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined textures on the floor and walls.", "reason_2": "The video is blurry and lacks definition, appearing like a low-resolution generation.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The motion of both the camera and the subjects is fluid and consistent.", "reason_2": "The motion is jerky and stuttering, disrupting the realism of the scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a professional level of visual fidelity and stability. Video 2 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "The framing effectively leads the eye from the dance floor up to the chandelier, creating a sense of scale.", "reason_2": "The framing is haphazard, often cutting off subjects or focusing on distorted areas without artistic intent.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Elegance & Sophistication)", "reason_1": "The lighting and color palette successfully evoke the requested mood of elegance and sophistication.", "reason_2": "The visual glitches and distortions create an uncanny and unsettling atmosphere rather than an elegant one.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow (The Reveal)", "reason_1": "The clip successfully tells the micro-story of the room unfolding to reveal the grand chandelier.", "reason_2": "There is no clear narrative progression; the clip feels like a random, broken segment.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the 'elegance and sophistication' requested by the prompt through good composition and lighting. Video 2 fails to establish the correct mood due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior adherence to the prompt's structural and aesthetic requirements. It successfully executes the specific camera movement (ascent and pan) to reveal the chandelier, maintains high visual fidelity, and depicts the subjects with reasonable stability. Video 2 suffers from severe morphological distortion, low resolution, and erratic camera movement that fails to follow the narrative direction of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 57.338} +{"pair_id": "077_seed_310", "sample_index": 77, "seed": 310, "prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_310_A professional ballet dancer dressed in a flowing.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_310_A professional ballet dancer dressed in a flowing.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_310_A professional ballet dancer dressed in a flowing.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_310_A professional ballet dancer dressed in a flowing.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Grand Jeté vs. Other)\", \"reason_1\": \"Video 1 depicts a dancer performing a pirouette (spinning on one axis), which is a completely different ballet move than the requested grand jeté (a large leap).\", \"reason_2\": \"Video 2 correctly depicts a dancer in a split leap (grand jeté) with legs extended horizontally, aligning perfectly with the prompt's core action requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attire Specificity (Leotard vs. Tutu)\", \"reason_1\": \"Video 1 generates a stiff, short tutu, which contradicts the prompt's request for a 'flowing white leotard'.\", \"reason_2\": \"Video 2 generates a leotard with a softer, flowing skirt that aligns much better with the description of a 'flowing' garment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting & Atmosphere\", \"reason_1\": \"Video 1 successfully captures the sunlit studio with large windows and golden light.\", \"reason_2\": \"Video 2 also successfully renders the sunlit studio environment with appropriate shadows and lighting.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 accurately depicts the requested 'grand jeté' (leap) and the 'flowing leotard', whereas Video 1 fails on both counts by showing a spin and a stiff tutu.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Face & Limbs)\", \"reason_1\": \"Video 1 suffers from severe facial distortion and morphing throughout the clip, breaking the illusion of a 'professional dancer'.\", \"reason_2\": \"Video 2 maintains a consistent and anatomically correct human form, with a clear face and natural limb proportions.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The motion in Video 1 feels slightly floaty and the footwork during the spin lacks weight and connection to the floor.\", \"reason_2\": \"Video 2 displays realistic momentum and gravity during the leap, with the dancer appearing properly grounded in the environment.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image in Video 1 is somewhat soft and lacks definition in the details of the dancer's features.\", \"reason_2\": \"Video 2 is sharper, with better definition in the fabric of the dress and the dancer's silhouette.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 maintains high anatomical integrity and realistic motion physics, while Video 1 suffers from significant facial distortion and unnatural movement.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Expression of Grace & Elegance\", \"reason_1\": \"The distortion and incorrect movement in Video 1 detract significantly from the requested 'grace and strength'.\", \"reason_2\": \"Video 2 captures the 'serene and focused' expression and the 'elegant form' requested, creating a truly aesthetic clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is acceptable but the subject feels slightly cluttered by the spinning motion.\", \"reason_2\": \"Video 2 uses a wider shot that effectively showcases the full extension of the legs and the 'mid-air' nature of the jump.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually unappealing due to the uncanny valley effect caused by the facial artifacts.\", \"reason_2\": \"Video 2 is visually pleasing, with a coherent style, good lighting, and a professional look.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully captures the 'ethereal' and 'graceful' mood requested, while Video 1's aesthetic is marred by technical artifacts.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it correctly identifies and executes the specific ballet move (grand jeté/leap) requested in the prompt, whereas Video 1 depicts a pirouette (spin). Furthermore, Video 2 demonstrates superior anatomical stability, particularly in the face, and adheres closer to the attire description (flowing leotard vs. stiff tutu).\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Grand Jeté vs. Other)", "reason_1": "Video 1 depicts a dancer performing a pirouette (spinning on one axis), which is a completely different ballet move than the requested grand jeté (a large leap).", "reason_2": "Video 2 correctly depicts a dancer in a split leap (grand jeté) with legs extended horizontally, aligning perfectly with the prompt's core action requirement.", "score_1": 1, "score_2": 9}, {"name": "Attire Specificity (Leotard vs. Tutu)", "reason_1": "Video 1 generates a stiff, short tutu, which contradicts the prompt's request for a 'flowing white leotard'.", "reason_2": "Video 2 generates a leotard with a softer, flowing skirt that aligns much better with the description of a 'flowing' garment.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting & Atmosphere", "reason_1": "Video 1 successfully captures the sunlit studio with large windows and golden light.", "reason_2": "Video 2 also successfully renders the sunlit studio environment with appropriate shadows and lighting.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 accurately depicts the requested 'grand jeté' (leap) and the 'flowing leotard', whereas Video 1 fails on both counts by showing a spin and a stiff tutu.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Face & Limbs)", "reason_1": "Video 1 suffers from severe facial distortion and morphing throughout the clip, breaking the illusion of a 'professional dancer'.", "reason_2": "Video 2 maintains a consistent and anatomically correct human form, with a clear face and natural limb proportions.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Grounding", "reason_1": "The motion in Video 1 feels slightly floaty and the footwork during the spin lacks weight and connection to the floor.", "reason_2": "Video 2 displays realistic momentum and gravity during the leap, with the dancer appearing properly grounded in the environment.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image in Video 1 is somewhat soft and lacks definition in the details of the dancer's features.", "reason_2": "Video 2 is sharper, with better definition in the fabric of the dress and the dancer's silhouette.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 maintains high anatomical integrity and realistic motion physics, while Video 1 suffers from significant facial distortion and unnatural movement.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Expression of Grace & Elegance", "reason_1": "The distortion and incorrect movement in Video 1 detract significantly from the requested 'grace and strength'.", "reason_2": "Video 2 captures the 'serene and focused' expression and the 'elegant form' requested, creating a truly aesthetic clip.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is acceptable but the subject feels slightly cluttered by the spinning motion.", "reason_2": "Video 2 uses a wider shot that effectively showcases the full extension of the legs and the 'mid-air' nature of the jump.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually unappealing due to the uncanny valley effect caused by the facial artifacts.", "reason_2": "Video 2 is visually pleasing, with a coherent style, good lighting, and a professional look.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully captures the 'ethereal' and 'graceful' mood requested, while Video 1's aesthetic is marred by technical artifacts.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it correctly identifies and executes the specific ballet move (grand jeté/leap) requested in the prompt, whereas Video 1 depicts a pirouette (spin). Furthermore, Video 2 demonstrates superior anatomical stability, particularly in the face, and adheres closer to the attire description (flowing leotard vs. stiff tutu).", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 60.806} +{"pair_id": "080_seed_42", "sample_index": 80, "seed": 42, "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_42_A mesmerizing flame wisp glowing with ethereal lig.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Primary Subject Generation (Flame Wisp)\", \"reason_1\": \"Video 1 clearly features a glowing, flame-like entity moving through the scene as requested.\", \"reason_2\": \"Video 2 completely fails to generate the flame wisp; the video is merely a camera movement through a market with no central subject.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Environmental Specificity (Fantastical Creatures)\", \"reason_1\": \"Video 1 depicts distinct non-human, fantasy-style creatures and merchants, aligning with the 'fantastical creatures' prompt.\", \"reason_2\": \"Video 2 depicts generic human figures that are heavily distorted, lacking the specific 'fantastical' nature requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Adherence (Camera Tracking)\", \"reason_1\": \"The camera in Video 1 actively pans and follows the movement of the flame entity.\", \"reason_2\": \"Video 2 utilizes a generic forward dolly shot that does not track any specific subject or narrative element.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately generates the primary subject (the flame wisp) and the specific environment (fantastical creatures). Video 2 fails to generate the main subject entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined edges and textures on the characters and background.\", \"reason_2\": \"The video is extremely blurry and lacks definition, appearing like a low-resolution upscale.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Character Consistency)\", \"reason_1\": \"Characters maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"The figures in the market warp, melt, and distort significantly as the camera moves past them.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Reflection\", \"reason_1\": \"The light from the wisp realistically illuminates the surrounding characters and stalls.\", \"reason_2\": \"Lighting is flat and muddy, with no dynamic interaction between light sources and surfaces.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual clarity and stability. Video 2 suffers from severe blurriness, low resolution, and significant morphological warping of the background characters.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Magical/Ethereal)\", \"reason_1\": \"The video successfully evokes a magical, storybook atmosphere with vibrant colors and glowing effects.\", \"reason_2\": \"The atmosphere is dull and lacks the 'enchanting' or 'otherworldly' quality described in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Vibrancy & Palette\", \"reason_1\": \"Uses a rich, saturated palette that fits the 'vibrant stalls' and 'colorful fabrics' description.\", \"reason_2\": \"Colors are washed out and muddy, failing to capture the vibrancy requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Focus & Composition\", \"reason_1\": \"The composition centers the action on the wisp, creating a clear narrative focus.\", \"reason_2\": \"The composition is aimless, lacking a focal point or narrative progression.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the 'mesmerizing' and 'magical' tone effectively through color and composition. Video 2 lacks aesthetic appeal due to its muddy visuals and lack of focus.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully generates the central subject (the flame wisp) and adheres to the prompt's narrative of the camera following its movement. It also correctly depicts 'fantastical creatures' and a vibrant, magical atmosphere. Video 2 completely fails to generate the flame wisp, presenting instead a generic, low-quality fly-through of a market with significant visual artifacts and no central narrative focus.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Primary Subject Generation (Flame Wisp)", "reason_1": "Video 1 clearly features a glowing, flame-like entity moving through the scene as requested.", "reason_2": "Video 2 completely fails to generate the flame wisp; the video is merely a camera movement through a market with no central subject.", "score_1": 10, "score_2": 0}, {"name": "Environmental Specificity (Fantastical Creatures)", "reason_1": "Video 1 depicts distinct non-human, fantasy-style creatures and merchants, aligning with the 'fantastical creatures' prompt.", "reason_2": "Video 2 depicts generic human figures that are heavily distorted, lacking the specific 'fantastical' nature requested.", "score_1": 8, "score_2": 2}, {"name": "Action Adherence (Camera Tracking)", "reason_1": "The camera in Video 1 actively pans and follows the movement of the flame entity.", "reason_2": "Video 2 utilizes a generic forward dolly shot that does not track any specific subject or narrative element.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately generates the primary subject (the flame wisp) and the specific environment (fantastical creatures). Video 2 fails to generate the main subject entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined edges and textures on the characters and background.", "reason_2": "The video is extremely blurry and lacks definition, appearing like a low-resolution upscale.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Character Consistency)", "reason_1": "Characters maintain their shape and volume consistently throughout the clip.", "reason_2": "The figures in the market warp, melt, and distort significantly as the camera moves past them.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Reflection", "reason_1": "The light from the wisp realistically illuminates the surrounding characters and stalls.", "reason_2": "Lighting is flat and muddy, with no dynamic interaction between light sources and surfaces.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual clarity and stability. Video 2 suffers from severe blurriness, low resolution, and significant morphological warping of the background characters.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Magical/Ethereal)", "reason_1": "The video successfully evokes a magical, storybook atmosphere with vibrant colors and glowing effects.", "reason_2": "The atmosphere is dull and lacks the 'enchanting' or 'otherworldly' quality described in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Color Vibrancy & Palette", "reason_1": "Uses a rich, saturated palette that fits the 'vibrant stalls' and 'colorful fabrics' description.", "reason_2": "Colors are washed out and muddy, failing to capture the vibrancy requested.", "score_1": 8, "score_2": 2}, {"name": "Narrative Focus & Composition", "reason_1": "The composition centers the action on the wisp, creating a clear narrative focus.", "reason_2": "The composition is aimless, lacking a focal point or narrative progression.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the 'mesmerizing' and 'magical' tone effectively through color and composition. Video 2 lacks aesthetic appeal due to its muddy visuals and lack of focus.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully generates the central subject (the flame wisp) and adheres to the prompt's narrative of the camera following its movement. It also correctly depicts 'fantastical creatures' and a vibrant, magical atmosphere. Video 2 completely fails to generate the flame wisp, presenting instead a generic, low-quality fly-through of a market with significant visual artifacts and no central narrative focus.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 57.038} +{"pair_id": "082_seed_930", "sample_index": 82, "seed": 930, "prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_930_In a dimly lit industrial workshop a grinding whee.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Action Fidelity\", \"reason_1\": \"Video 1 clearly shows the grinding wheel and the metal pipe being worked on, with the action clearly defined.\", \"reason_2\": \"Video 2 shows the wheel, but the grinding action is obscured by excessive visual noise and the metal object is less distinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Dimly Lit Workshop)\", \"reason_1\": \"Video 1 maintains a dark, industrial background that contrasts well with the sparks, matching the 'dimly lit' requirement.\", \"reason_2\": \"Video 2 is washed out by the brightness of the generated sparks, losing the 'shadowy backdrop' context almost entirely.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Style (Slow-Motion Effect)\", \"reason_1\": \"Video 1 appears to be real-time or slightly fast, failing to capture the requested 'slow-motion' effect.\", \"reason_2\": \"Video 2 successfully renders the motion with a slower, more fluid cadence that aligns with the 'slow-motion' prompt instruction.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 1 accurately depicts the 'dimly lit' environment and the specific interaction between the wheel and the metal pipe. Video 2 fails to maintain the environmental context due to overexposure.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Particle Physics & Gravity\", \"reason_1\": \"The sparks in Video 1 follow realistic ballistic trajectories, arcing and falling due to gravity.\", \"reason_2\": \"The sparks in Video 2 float upwards and linger unnaturally, resembling a fluid simulation rather than hot metal particles.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp, with sharp edges on the machinery and distinct individual sparks.\", \"reason_2\": \"Video 2 is blurry and noisy, with the sparks appearing as undefined blobs of light rather than detailed particles.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Exposure\", \"reason_1\": \"The light from the sparks in Video 1 illuminates the surroundings realistically without blowing out the image.\", \"reason_2\": \"Video 2 suffers from severe overexposure (clipping), where the light intensity destroys detail in the highlights.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior physics and image quality. The sparks behave like real incandescent metal, whereas Video 2's sparks lack weight and definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a clear angle that shows the source of the sparks and their trajectory against the background.\", \"reason_2\": \"Video 2 is framed too tightly and chaotically, making it difficult to understand the spatial relationship between the wheel and the sparks.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony (Fiery Orange vs. Shadowy Backdrop)\", \"reason_1\": \"Video 1 achieves the requested contrast between the 'fiery orange' sparks and the 'shadowy backdrop'.\", \"reason_2\": \"Video 2 is dominated by a monochromatic white/yellow glare, lacking the rich color contrast described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually pleasing and looks like professional footage.\", \"reason_2\": \"Video 2 is visually messy and distracting due to the excessive bloom and lack of definition.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a composed, professional look that highlights the beauty of the sparks. Video 2 is chaotic and visually overwhelming.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior realism, physical accuracy, and visual clarity. It accurately depicts the physics of sparks (gravity, momentum) and maintains the 'dimly lit' environmental context requested. Video 2, while attempting the slow-motion effect, suffers from severe overexposure, unnatural particle physics (sparks floating like liquid), and a loss of detail in the machinery.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Action Fidelity", "reason_1": "Video 1 clearly shows the grinding wheel and the metal pipe being worked on, with the action clearly defined.", "reason_2": "Video 2 shows the wheel, but the grinding action is obscured by excessive visual noise and the metal object is less distinct.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Dimly Lit Workshop)", "reason_1": "Video 1 maintains a dark, industrial background that contrasts well with the sparks, matching the 'dimly lit' requirement.", "reason_2": "Video 2 is washed out by the brightness of the generated sparks, losing the 'shadowy backdrop' context almost entirely.", "score_1": 8, "score_2": 2}, {"name": "Temporal Style (Slow-Motion Effect)", "reason_1": "Video 1 appears to be real-time or slightly fast, failing to capture the requested 'slow-motion' effect.", "reason_2": "Video 2 successfully renders the motion with a slower, more fluid cadence that aligns with the 'slow-motion' prompt instruction.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 1 accurately depicts the 'dimly lit' environment and the specific interaction between the wheel and the metal pipe. Video 2 fails to maintain the environmental context due to overexposure.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Particle Physics & Gravity", "reason_1": "The sparks in Video 1 follow realistic ballistic trajectories, arcing and falling due to gravity.", "reason_2": "The sparks in Video 2 float upwards and linger unnaturally, resembling a fluid simulation rather than hot metal particles.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp, with sharp edges on the machinery and distinct individual sparks.", "reason_2": "Video 2 is blurry and noisy, with the sparks appearing as undefined blobs of light rather than detailed particles.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Exposure", "reason_1": "The light from the sparks in Video 1 illuminates the surroundings realistically without blowing out the image.", "reason_2": "Video 2 suffers from severe overexposure (clipping), where the light intensity destroys detail in the highlights.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior physics and image quality. The sparks behave like real incandescent metal, whereas Video 2's sparks lack weight and definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses a clear angle that shows the source of the sparks and their trajectory against the background.", "reason_2": "Video 2 is framed too tightly and chaotically, making it difficult to understand the spatial relationship between the wheel and the sparks.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony (Fiery Orange vs. Shadowy Backdrop)", "reason_1": "Video 1 achieves the requested contrast between the 'fiery orange' sparks and the 'shadowy backdrop'.", "reason_2": "Video 2 is dominated by a monochromatic white/yellow glare, lacking the rich color contrast described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually pleasing and looks like professional footage.", "reason_2": "Video 2 is visually messy and distracting due to the excessive bloom and lack of definition.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a composed, professional look that highlights the beauty of the sparks. Video 2 is chaotic and visually overwhelming.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior realism, physical accuracy, and visual clarity. It accurately depicts the physics of sparks (gravity, momentum) and maintains the 'dimly lit' environmental context requested. Video 2, while attempting the slow-motion effect, suffers from severe overexposure, unnatural particle physics (sparks floating like liquid), and a loss of detail in the machinery.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 58.915} +{"pair_id": "085_seed_310", "sample_index": 85, "seed": 310, "prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_310_The camera glides through a majestic glacial canyo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_310_The camera glides through a majestic glacial canyo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_310_The camera glides through a majestic glacial canyo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_310_The camera glides through a majestic glacial canyo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Sequential Landscape Generation\", \"reason_1\": \"Video 1 clearly depicts the glacial canyon, the clouds, the forest, and the desert in the correct order.\", \"reason_2\": \"Video 2 presents a confused mix of textures where the canyon, forest, and desert are indistinguishable from one another.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Colors & Textures)\", \"reason_1\": \"Video 1 accurately renders 'muted green' leaves, 'pastel sky', and 'icy walls' with distinct textures.\", \"reason_2\": \"Video 2 fails to render specific textures; the trees look like stretched artifacts and the ice lacks definition.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Intent (Gliding/Soaring)\", \"reason_1\": \"The camera in Video 1 moves forward smoothly, simulating a flight or glide through the environment.\", \"reason_2\": \"The motion in Video 2 is erratic and feels like a texture scroll rather than a camera moving through 3D space.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully identifies and renders the four distinct biomes in the requested order. Video 2 fails to generate distinct environments, resulting in a confused visual mashup.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Objects in Video 1 (trees, dunes) maintain their shape and structure as the camera moves.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and warping; trees stretch unnaturally and the background shifts like liquid.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, clear, and free of distracting noise.\", \"reason_2\": \"The video is blurry, low-resolution, and contains significant visual artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The movement is fluid and consistent.\", \"reason_2\": \"The motion is jerky and disorienting due to the rapid morphing of the image.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains structural integrity throughout the clip. Video 2 is plagued by severe warping, stretching, and low-resolution artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Dreamlike/Ethereal)\", \"reason_1\": \"Video 1 successfully establishes a soft, pastel, and dreamlike mood consistent with the prompt.\", \"reason_2\": \"Video 2 feels chaotic and glitchy, failing to evoke the requested serenity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Palette Harmony\", \"reason_1\": \"The muted greens, pinks, and blues blend harmoniously as requested.\", \"reason_2\": \"The colors are muddy and lack the cohesive pastel harmony seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Compositional Depth\", \"reason_1\": \"Video 1 uses the canyon walls to frame the shot, creating a strong sense of depth and scale.\", \"reason_2\": \"Video 2 appears flat, lacking proper foreground-background separation.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'dreamlike' and 'ethereal' mood requested, using the canyon as a framing device. Video 2 lacks aesthetic coherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Transition Mechanics & Spatial Logic\", \"dims\": [{\"name\": \"Transition Fluidity\", \"reason_1\": \"The shift from the canyon to the clouds and then to the desert is handled with a smooth, dreamlike morph.\", \"reason_2\": \"There are no distinct transitions, only a constant, jarring morphing of the entire frame.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Spatial Continuity\", \"reason_1\": \"The viewer feels they are traveling through a continuous space that changes biomes.\", \"reason_2\": \"The spatial logic is broken; the environment does not feel like a place one can travel through.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Distinctiveness\", \"reason_1\": \"Each biome (Ice, Cloud, Forest, Desert) is visually distinct yet stylistically linked.\", \"reason_2\": \"The environments bleed into each other indistinguishably.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This personalized category evaluates the specific requirement of 'seamless flow' between biomes. Video 1 handles this transition logically, while Video 2 fails completely.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the complex sequential narrative of the prompt, transitioning smoothly between the glacial canyon, cloudscape, forest, and desert. It maintains high visual stability and a consistent aesthetic. Video 2 suffers from severe morphological instability, where objects warp and melt rather than transitioning, and fails to clearly distinguish the required environments.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Sequential Landscape Generation", "reason_1": "Video 1 clearly depicts the glacial canyon, the clouds, the forest, and the desert in the correct order.", "reason_2": "Video 2 presents a confused mix of textures where the canyon, forest, and desert are indistinguishable from one another.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Colors & Textures)", "reason_1": "Video 1 accurately renders 'muted green' leaves, 'pastel sky', and 'icy walls' with distinct textures.", "reason_2": "Video 2 fails to render specific textures; the trees look like stretched artifacts and the ice lacks definition.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Intent (Gliding/Soaring)", "reason_1": "The camera in Video 1 moves forward smoothly, simulating a flight or glide through the environment.", "reason_2": "The motion in Video 2 is erratic and feels like a texture scroll rather than a camera moving through 3D space.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully identifies and renders the four distinct biomes in the requested order. Video 2 fails to generate distinct environments, resulting in a confused visual mashup.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Objects in Video 1 (trees, dunes) maintain their shape and structure as the camera moves.", "reason_2": "Video 2 exhibits severe 'melting' and warping; trees stretch unnaturally and the background shifts like liquid.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, clear, and free of distracting noise.", "reason_2": "The video is blurry, low-resolution, and contains significant visual artifacts.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The movement is fluid and consistent.", "reason_2": "The motion is jerky and disorienting due to the rapid morphing of the image.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains structural integrity throughout the clip. Video 2 is plagued by severe warping, stretching, and low-resolution artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Dreamlike/Ethereal)", "reason_1": "Video 1 successfully establishes a soft, pastel, and dreamlike mood consistent with the prompt.", "reason_2": "Video 2 feels chaotic and glitchy, failing to evoke the requested serenity.", "score_1": 9, "score_2": 1}, {"name": "Color Palette Harmony", "reason_1": "The muted greens, pinks, and blues blend harmoniously as requested.", "reason_2": "The colors are muddy and lack the cohesive pastel harmony seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Compositional Depth", "reason_1": "Video 1 uses the canyon walls to frame the shot, creating a strong sense of depth and scale.", "reason_2": "Video 2 appears flat, lacking proper foreground-background separation.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'dreamlike' and 'ethereal' mood requested, using the canyon as a framing device. Video 2 lacks aesthetic coherence.", "cat_winner": "Video 1"}, {"name": "D. Transition Mechanics & Spatial Logic", "dims": [{"name": "Transition Fluidity", "reason_1": "The shift from the canyon to the clouds and then to the desert is handled with a smooth, dreamlike morph.", "reason_2": "There are no distinct transitions, only a constant, jarring morphing of the entire frame.", "score_1": 8, "score_2": 2}, {"name": "Spatial Continuity", "reason_1": "The viewer feels they are traveling through a continuous space that changes biomes.", "reason_2": "The spatial logic is broken; the environment does not feel like a place one can travel through.", "score_1": 7, "score_2": 3}, {"name": "Environmental Distinctiveness", "reason_1": "Each biome (Ice, Cloud, Forest, Desert) is visually distinct yet stylistically linked.", "reason_2": "The environments bleed into each other indistinguishably.", "score_1": 9, "score_2": 1}], "cat_reason": "This personalized category evaluates the specific requirement of 'seamless flow' between biomes. Video 1 handles this transition logically, while Video 2 fails completely.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the complex sequential narrative of the prompt, transitioning smoothly between the glacial canyon, cloudscape, forest, and desert. It maintains high visual stability and a consistent aesthetic. Video 2 suffers from severe morphological instability, where objects warp and melt rather than transitioning, and fails to clearly distinguish the required environments.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 99.0, "total_score_2": 21.0, "elapsed_sec": 71.112} +{"pair_id": "088_seed_42", "sample_index": 88, "seed": 42, "prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_42_The camera zooms into a dandelion at hyperspeed re.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Surreal Transformation (Seeds to Islands)\", \"reason_1\": \"Video 1 attempts to interpret the 'shimmering structures' and 'abstract world' by adding glowing, jewel-like elements to the seeds, though it fails to fully transform them into islands.\", \"reason_2\": \"Video 2 completely ignores the instruction to transform the seeds into floating islands, remaining a standard, realistic dandelion throughout.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 has a darker, greenish-yellow tone that lacks the 'gentle, golden glow' requested.\", \"reason_2\": \"Video 2 perfectly captures the 'gentle, golden glow' and 'dreamlike atmosphere' with a warm, cohesive color palette.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Particle Dynamics (Drifting Gracefully)\", \"reason_1\": \"Video 1 features static glowing points that do not drift or dance.\", \"reason_2\": \"Video 2 features distinct, tiny luminescent particles that drift gracefully in the air, matching the prompt's description of a 'mesmerizing dance'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Hyperspeed Zoom)\", \"reason_1\": \"Video 1 has a slight zoom but lacks the 'hyperspeed' intensity.\", \"reason_2\": \"Video 2 has a slow, gentle push-in, also failing the 'hyperspeed' requirement, resulting in a tie for this specific failure.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"While Video 1 attempts the surreal elements, Video 2 captures the atmospheric and particle descriptions far more accurately, despite missing the transformation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is soft, lacking definition in the seed filaments, and appears somewhat low-resolution.\", \"reason_2\": \"The video is crisp, with high-definition rendering of the dandelion seeds and fine details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The glowing elements on the seeds flicker and shift shape unnaturally (temporal noise).\", \"reason_2\": \"The subject maintains perfect structural integrity throughout the clip.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Consistency\", \"reason_1\": \"The lighting feels artificial and the glowing spots lack realistic interaction with the environment.\", \"reason_2\": \"The lighting is consistent, volumetric, and interacts naturally with the floating particles.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior in every aspect, offering a sharp, stable, and clean image compared to the noisy and unstable Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual style is somewhat muddy and the glowing artifacts detract from the beauty of the subject.\", \"reason_2\": \"The video is aesthetically pleasing, resembling high-quality macro nature cinematography.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Mood & Atmosphere (Tranquility)\", \"reason_1\": \"The flickering lights create a slightly chaotic or glitchy feel rather than a tranquil one.\", \"reason_2\": \"The slow motion and warm light successfully evoke the requested sense of 'tranquility' and 'wonder'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable but feels a bit tight and claustrophobic.\", \"reason_2\": \"The composition is balanced, with the dandelion centered and the background providing nice depth.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 presents a beautiful, professional-looking macro shot that evokes the requested mood, whereas Video 1 feels like a lower-quality generation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Both videos fail to execute the complex 'hyperspeed zoom' and the specific 'transformation into floating islands' described in the prompt. However, Video 2 is the clear winner due to its superior visual fidelity, stability, and successful capture of the atmospheric requirements. Video 2 renders a high-quality, photorealistic dandelion with the requested 'gentle golden glow' and 'drifting particles,' creating a cohesive dreamlike mood. Video 1 attempts to add surreal glowing elements but suffers from low resolution, temporal flickering, and a lack of the requested 'drifting' particle dynamics.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Surreal Transformation (Seeds to Islands)", "reason_1": "Video 1 attempts to interpret the 'shimmering structures' and 'abstract world' by adding glowing, jewel-like elements to the seeds, though it fails to fully transform them into islands.", "reason_2": "Video 2 completely ignores the instruction to transform the seeds into floating islands, remaining a standard, realistic dandelion throughout.", "score_1": 6, "score_2": 4}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 has a darker, greenish-yellow tone that lacks the 'gentle, golden glow' requested.", "reason_2": "Video 2 perfectly captures the 'gentle, golden glow' and 'dreamlike atmosphere' with a warm, cohesive color palette.", "score_1": 3, "score_2": 7}, {"name": "Particle Dynamics (Drifting Gracefully)", "reason_1": "Video 1 features static glowing points that do not drift or dance.", "reason_2": "Video 2 features distinct, tiny luminescent particles that drift gracefully in the air, matching the prompt's description of a 'mesmerizing dance'.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Hyperspeed Zoom)", "reason_1": "Video 1 has a slight zoom but lacks the 'hyperspeed' intensity.", "reason_2": "Video 2 has a slow, gentle push-in, also failing the 'hyperspeed' requirement, resulting in a tie for this specific failure.", "score_1": 5, "score_2": 5}], "cat_reason": "While Video 1 attempts the surreal elements, Video 2 captures the atmospheric and particle descriptions far more accurately, despite missing the transformation.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is soft, lacking definition in the seed filaments, and appears somewhat low-resolution.", "reason_2": "The video is crisp, with high-definition rendering of the dandelion seeds and fine details.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "The glowing elements on the seeds flicker and shift shape unnaturally (temporal noise).", "reason_2": "The subject maintains perfect structural integrity throughout the clip.", "score_1": 3, "score_2": 7}, {"name": "Lighting Consistency", "reason_1": "The lighting feels artificial and the glowing spots lack realistic interaction with the environment.", "reason_2": "The lighting is consistent, volumetric, and interacts naturally with the floating particles.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior in every aspect, offering a sharp, stable, and clean image compared to the noisy and unstable Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The visual style is somewhat muddy and the glowing artifacts detract from the beauty of the subject.", "reason_2": "The video is aesthetically pleasing, resembling high-quality macro nature cinematography.", "score_1": 3, "score_2": 7}, {"name": "Mood & Atmosphere (Tranquility)", "reason_1": "The flickering lights create a slightly chaotic or glitchy feel rather than a tranquil one.", "reason_2": "The slow motion and warm light successfully evoke the requested sense of 'tranquility' and 'wonder'.", "score_1": 4, "score_2": 6}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable but feels a bit tight and claustrophobic.", "reason_2": "The composition is balanced, with the dandelion centered and the background providing nice depth.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 presents a beautiful, professional-looking macro shot that evokes the requested mood, whereas Video 1 feels like a lower-quality generation.", "cat_winner": "Video 2"}], "reason": "Both videos fail to execute the complex 'hyperspeed zoom' and the specific 'transformation into floating islands' described in the prompt. However, Video 2 is the clear winner due to its superior visual fidelity, stability, and successful capture of the atmospheric requirements. Video 2 renders a high-quality, photorealistic dandelion with the requested 'gentle golden glow' and 'drifting particles,' creating a cohesive dreamlike mood. Video 1 attempts to add surreal glowing elements but suffers from low resolution, temporal flickering, and a lack of the requested 'drifting' particle dynamics.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 36.0, "total_score_2": 64.0, "elapsed_sec": 64.155} +{"pair_id": "090_seed_930", "sample_index": 90, "seed": 930, "prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_930_In a vibrant humid rainforest a sloth leisurely tr.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Leisurely Traversing)\", \"reason_1\": \"Video 1 is essentially a static shot with minor head movement; it fails to depict the sloth 'traversing' the branch.\", \"reason_2\": \"Video 2 depicts the sloth actively climbing and moving along the branch, aligning well with the prompt's instruction to 'traverse'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Accuracy (Moss-Tinted Fur)\", \"reason_1\": \"Video 1 renders the fur as a standard brown sloth with a greenish tint, which is less distinct than the prompt implies.\", \"reason_2\": \"Video 2 explicitly renders the fur with a vibrant green, moss-like coloration, adhering strictly to the 'moss-tinted' descriptor.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Humid Rainforest)\", \"reason_1\": \"Video 1 successfully creates a lush, humid rainforest background with appropriate depth of field.\", \"reason_2\": \"Video 2 also generates a convincing rainforest environment with dense foliage and appropriate lighting.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 follows the prompt's instructions regarding action and specific attributes much more closely than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subject in Video 1 maintains a consistent shape and solid form throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe morphing; the sloth's limbs and body distort and melt into the branch during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Fidelity (Fur & Moisture)\", \"reason_1\": \"The fur texture in Video 1 appears somewhat smooth and plastic-like, lacking the 'coarse' detail requested.\", \"reason_2\": \"Video 2 renders the 'coarse' and 'glistening' texture of the fur with high detail, even if the motion is flawed.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"Video 1 is static, but the subject feels grounded and physically present on the branch.\", \"reason_2\": \"The movement in Video 2 feels floaty and disconnected from physics, with the subject sliding rather than gripping.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains a solid, consistent subject form, whereas Video 2 suffers from significant anatomical hallucinations and morphing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and lacks the dramatic 'cinematic' quality requested.\", \"reason_2\": \"Video 2 features dynamic lighting with highlights on the wet fur, creating a richer, more cinematic atmosphere.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Appeal & Color Harmony\", \"reason_1\": \"The color palette is natural but slightly dull compared to the 'vibrant' description.\", \"reason_2\": \"The vibrant greens and high contrast in Video 2 create a more visually striking image that matches the 'vibrant' prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Engagement\", \"reason_1\": \"Due to the lack of movement, the clip feels like a still photo rather than a narrative moment.\", \"reason_2\": \"The movement and interaction with the environment create a stronger sense of a living, breathing moment in nature.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'cinematic' and 'vibrant' aesthetic requested by the prompt better than the flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner in terms of semantic alignment and aesthetic ambition. It successfully attempts the specific action ('traverses') and the unique visual attribute ('moss-tinted fur') requested in the prompt. While Video 1 is more morphologically stable, it fails to depict the requested movement (remaining largely static) and presents a generic sloth appearance rather than the specific 'moss-tinted' description. Video 2 captures the vibrant, cinematic essence of the prompt better, despite suffering from some anatomical instability.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Leisurely Traversing)", "reason_1": "Video 1 is essentially a static shot with minor head movement; it fails to depict the sloth 'traversing' the branch.", "reason_2": "Video 2 depicts the sloth actively climbing and moving along the branch, aligning well with the prompt's instruction to 'traverse'.", "score_1": 2, "score_2": 8}, {"name": "Attribute Accuracy (Moss-Tinted Fur)", "reason_1": "Video 1 renders the fur as a standard brown sloth with a greenish tint, which is less distinct than the prompt implies.", "reason_2": "Video 2 explicitly renders the fur with a vibrant green, moss-like coloration, adhering strictly to the 'moss-tinted' descriptor.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Humid Rainforest)", "reason_1": "Video 1 successfully creates a lush, humid rainforest background with appropriate depth of field.", "reason_2": "Video 2 also generates a convincing rainforest environment with dense foliage and appropriate lighting.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 follows the prompt's instructions regarding action and specific attributes much more closely than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "The subject in Video 1 maintains a consistent shape and solid form throughout the clip.", "reason_2": "Video 2 exhibits severe morphing; the sloth's limbs and body distort and melt into the branch during movement.", "score_1": 8, "score_2": 2}, {"name": "Texture Fidelity (Fur & Moisture)", "reason_1": "The fur texture in Video 1 appears somewhat smooth and plastic-like, lacking the 'coarse' detail requested.", "reason_2": "Video 2 renders the 'coarse' and 'glistening' texture of the fur with high detail, even if the motion is flawed.", "score_1": 4, "score_2": 6}, {"name": "Motion Physics & Grounding", "reason_1": "Video 1 is static, but the subject feels grounded and physically present on the branch.", "reason_2": "The movement in Video 2 feels floaty and disconnected from physics, with the subject sliding rather than gripping.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains a solid, consistent subject form, whereas Video 2 suffers from significant anatomical hallucinations and morphing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "The lighting in Video 1 is somewhat flat and lacks the dramatic 'cinematic' quality requested.", "reason_2": "Video 2 features dynamic lighting with highlights on the wet fur, creating a richer, more cinematic atmosphere.", "score_1": 4, "score_2": 6}, {"name": "Visual Appeal & Color Harmony", "reason_1": "The color palette is natural but slightly dull compared to the 'vibrant' description.", "reason_2": "The vibrant greens and high contrast in Video 2 create a more visually striking image that matches the 'vibrant' prompt.", "score_1": 4, "score_2": 6}, {"name": "Narrative Engagement", "reason_1": "Due to the lack of movement, the clip feels like a still photo rather than a narrative moment.", "reason_2": "The movement and interaction with the environment create a stronger sense of a living, breathing moment in nature.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'cinematic' and 'vibrant' aesthetic requested by the prompt better than the flatter look of Video 1.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner in terms of semantic alignment and aesthetic ambition. It successfully attempts the specific action ('traverses') and the unique visual attribute ('moss-tinted fur') requested in the prompt. While Video 1 is more morphologically stable, it fails to depict the requested movement (remaining largely static) and presents a generic sloth appearance rather than the specific 'moss-tinted' description. Video 2 captures the vibrant, cinematic essence of the prompt better, despite suffering from some anatomical instability.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 41.0, "total_score_2": 49.0, "elapsed_sec": 78.18} +{"pair_id": "093_seed_310", "sample_index": 93, "seed": 310, "prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_310_A vintage teddy bear with worn fur and a stitched.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_310_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_310_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_310_A vintage teddy bear with worn fur and a stitched.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Vintage/Worn/Stitched)\", \"reason_1\": \"Video 1 generates a character that looks like a modern, clean, movie-prop teddy bear (resembling 'Ted') rather than a vintage toy with a stitched smile.\", \"reason_2\": \"Video 2 perfectly captures the 'vintage' aesthetic with visible stitching on the paws and a worn, textured fur appearance that matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Execution (Stretching & Animation)\", \"reason_1\": \"Video 1 attempts the requested action of the bear moving and stretching its limbs, although the execution is physically awkward.\", \"reason_2\": \"Video 2 is largely static, failing to execute the specific 'limbs stretching' and 'newfound animation' instructions found in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Detail (Lace, Quilt, Sunlight)\", \"reason_1\": \"Video 1 includes the bed and quilt but lacks the specific 'delicate lace curtains' and the intricate light patterns they cast.\", \"reason_2\": \"Video 2 features prominent, high-quality lace curtains in the foreground and background, creating the specific 'intricate patterns' and 'golden sunlight' atmosphere requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately renders the specific visual attributes of the subject (vintage, stitched, worn) and the environment (lace curtains, light patterns), whereas Video 1 generates a generic character that misses the 'vintage' descriptor.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe anatomical failure; the bear's arms and legs warp, stretch unnaturally, and lose volume during movement.\", \"reason_2\": \"Video 2 maintains perfect structural integrity of the subject throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Fidelity (Fur & Fabric)\", \"reason_1\": \"The fur texture in Video 1 appears matted and low-resolution, lacking the tactile realism of a high-quality generation.\", \"reason_2\": \"Video 2 renders individual fur strands and the fabric of the lace curtains with high definition and realistic lighting interaction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion in Video 1 is jerky and defies physics, with the subject floating and distorting rather than moving naturally.\", \"reason_2\": \"Video 2 has minimal motion, but what exists (subtle breathing/light shifts) is smooth and free of artifacts.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade visual fidelity and stability. Video 1 suffers from significant hallucinations and morphological breakdowns during movement.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Magical/Whimsical)\", \"reason_1\": \"Video 1 feels somewhat flat and lacks the 'magical' quality, presenting a standard, slightly uncanny room.\", \"reason_2\": \"Video 2 uses soft, golden lighting and foreground elements (curtains) to successfully create the 'magical atmosphere' and 'whimsical charm' described.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Depth\", \"reason_1\": \"Video 1 uses a flat, medium shot with little depth or interesting framing.\", \"reason_2\": \"Video 2 utilizes the lace curtains in the foreground to create a sense of depth and intimacy, enhancing the aesthetic appeal.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Movement (Pull Back)\", \"reason_1\": \"Video 1 has a static camera that does not pull back as requested.\", \"reason_2\": \"Video 2 has a very subtle push-in or static hold, also failing to execute the requested 'pull back' camera move.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 successfully establishes the 'magical' and 'whimsical' mood through superior lighting and composition, whereas Video 1 feels flatter and less atmospheric.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, accurate rendering of the 'vintage' and 'stitched' attributes, and successful creation of the requested 'magical atmosphere' with intricate lighting. While Video 1 attempts the specific motion instructions (stretching), it suffers from severe morphological distortion and fails to capture the specific aesthetic details (worn fur, lace curtains) as effectively as Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Vintage/Worn/Stitched)", "reason_1": "Video 1 generates a character that looks like a modern, clean, movie-prop teddy bear (resembling 'Ted') rather than a vintage toy with a stitched smile.", "reason_2": "Video 2 perfectly captures the 'vintage' aesthetic with visible stitching on the paws and a worn, textured fur appearance that matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Action Execution (Stretching & Animation)", "reason_1": "Video 1 attempts the requested action of the bear moving and stretching its limbs, although the execution is physically awkward.", "reason_2": "Video 2 is largely static, failing to execute the specific 'limbs stretching' and 'newfound animation' instructions found in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Environmental Detail (Lace, Quilt, Sunlight)", "reason_1": "Video 1 includes the bed and quilt but lacks the specific 'delicate lace curtains' and the intricate light patterns they cast.", "reason_2": "Video 2 features prominent, high-quality lace curtains in the foreground and background, creating the specific 'intricate patterns' and 'golden sunlight' atmosphere requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately renders the specific visual attributes of the subject (vintage, stitched, worn) and the environment (lace curtains, light patterns), whereas Video 1 generates a generic character that misses the 'vintage' descriptor.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe anatomical failure; the bear's arms and legs warp, stretch unnaturally, and lose volume during movement.", "reason_2": "Video 2 maintains perfect structural integrity of the subject throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Texture Fidelity (Fur & Fabric)", "reason_1": "The fur texture in Video 1 appears matted and low-resolution, lacking the tactile realism of a high-quality generation.", "reason_2": "Video 2 renders individual fur strands and the fabric of the lace curtains with high definition and realistic lighting interaction.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion in Video 1 is jerky and defies physics, with the subject floating and distorting rather than moving naturally.", "reason_2": "Video 2 has minimal motion, but what exists (subtle breathing/light shifts) is smooth and free of artifacts.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade visual fidelity and stability. Video 1 suffers from significant hallucinations and morphological breakdowns during movement.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Magical/Whimsical)", "reason_1": "Video 1 feels somewhat flat and lacks the 'magical' quality, presenting a standard, slightly uncanny room.", "reason_2": "Video 2 uses soft, golden lighting and foreground elements (curtains) to successfully create the 'magical atmosphere' and 'whimsical charm' described.", "score_1": 3, "score_2": 7}, {"name": "Composition & Depth", "reason_1": "Video 1 uses a flat, medium shot with little depth or interesting framing.", "reason_2": "Video 2 utilizes the lace curtains in the foreground to create a sense of depth and intimacy, enhancing the aesthetic appeal.", "score_1": 3, "score_2": 7}, {"name": "Camera Movement (Pull Back)", "reason_1": "Video 1 has a static camera that does not pull back as requested.", "reason_2": "Video 2 has a very subtle push-in or static hold, also failing to execute the requested 'pull back' camera move.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 successfully establishes the 'magical' and 'whimsical' mood through superior lighting and composition, whereas Video 1 feels flatter and less atmospheric.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, accurate rendering of the 'vintage' and 'stitched' attributes, and successful creation of the requested 'magical atmosphere' with intricate lighting. While Video 1 attempts the specific motion instructions (stretching), it suffers from severe morphological distortion and fails to capture the specific aesthetic details (worn fur, lace curtains) as effectively as Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 64.042} +{"pair_id": "096_seed_42", "sample_index": 96, "seed": 42, "prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_42_A mesmerizing dancer clad in a flowing crimson dre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_42_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_42_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_42_A mesmerizing dancer clad in a flowing crimson dre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Dress & Face)\", \"reason_1\": \"Video 1 renders a recognizable human face and a dress that maintains its structure, though the color leans more magenta than crimson.\", \"reason_2\": \"Video 2 captures the 'crimson' color better but fails completely on the 'expressive face' requirement, rendering a distorted, melting visage.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Atmosphere (Smoke & Lighting)\", \"reason_1\": \"Video 1 successfully integrates the swirling smoke and stage lighting, creating the requested ethereal atmosphere.\", \"reason_2\": \"Video 2 also features strong smoke and lighting effects, matching the prompt's environmental description well.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Action Execution (Twirl & Fluidity)\", \"reason_1\": \"The dancer in Video 1 performs a recognizable twirl with relatively fluid motion.\", \"reason_2\": \"The motion in Video 2 is jerky and unnatural, with the subject's body parts morphing rather than moving fluidly.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 aligns better with the core requirement of a 'mesmerizing dancer' with an 'expressive face'. Video 2 fails the semantic requirement of a human face, rendering a distorted visage instead.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features and body shape remain consistent throughout the clip.\", \"reason_2\": \"The subject's face changes drastically between frames, morphing into different shapes and losing all identity coherence.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 maintains basic anatomical logic, though there is some minor blurring of the hands.\", \"reason_2\": \"Video 2 exhibits severe anatomical hallucinations; the face melts and the body structure warps unnaturally during movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is somewhat soft and lacks high-frequency detail.\", \"reason_2\": \"Video 2 appears sharper with higher contrast, despite the content being distorted.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a stable subject identity, whereas Video 2 suffers from catastrophic morphological failure (face melting).\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is pleasant to watch and successfully conveys a performance vibe.\", \"reason_2\": \"The severe facial distortions create a disturbing, 'uncanny valley' effect that ruins the aesthetic appeal.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Emotional Impact (Passion vs. Distortion)\", \"reason_1\": \"The dancer's expression, while imperfect, conveys the requested passion and intensity.\", \"reason_2\": \"The distortion turns the intended passion into a grotesque expression, failing the emotional prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"The camera framing keeps the subject centered and captures the movement reasonably well.\", \"reason_2\": \"The framing is acceptable, but the camera movement feels slightly disconnected from the subject's erratic morphing.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 captures the intended mood of a performance. Video 2 creates an unintentional horror aesthetic due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior temporal stability and subject coherence. While Video 2 offers sharper resolution and a more accurate 'crimson' color palette, it suffers from severe morphological breakdowns, particularly in the subject's face, which melts and distorts significantly. Video 1 maintains a consistent human identity and anatomical structure throughout the performance, successfully delivering the 'mesmerizing' and 'passionate' qualities requested without the disturbing visual artifacts present in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Dress & Face)", "reason_1": "Video 1 renders a recognizable human face and a dress that maintains its structure, though the color leans more magenta than crimson.", "reason_2": "Video 2 captures the 'crimson' color better but fails completely on the 'expressive face' requirement, rendering a distorted, melting visage.", "score_1": 6, "score_2": 4}, {"name": "Environmental Atmosphere (Smoke & Lighting)", "reason_1": "Video 1 successfully integrates the swirling smoke and stage lighting, creating the requested ethereal atmosphere.", "reason_2": "Video 2 also features strong smoke and lighting effects, matching the prompt's environmental description well.", "score_1": 5, "score_2": 5}, {"name": "Action Execution (Twirl & Fluidity)", "reason_1": "The dancer in Video 1 performs a recognizable twirl with relatively fluid motion.", "reason_2": "The motion in Video 2 is jerky and unnatural, with the subject's body parts morphing rather than moving fluidly.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 aligns better with the core requirement of a 'mesmerizing dancer' with an 'expressive face'. Video 2 fails the semantic requirement of a human face, rendering a distorted visage instead.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's facial features and body shape remain consistent throughout the clip.", "reason_2": "The subject's face changes drastically between frames, morphing into different shapes and losing all identity coherence.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 maintains basic anatomical logic, though there is some minor blurring of the hands.", "reason_2": "Video 2 exhibits severe anatomical hallucinations; the face melts and the body structure warps unnaturally during movement.", "score_1": 7, "score_2": 3}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is somewhat soft and lacks high-frequency detail.", "reason_2": "Video 2 appears sharper with higher contrast, despite the content being distorted.", "score_1": 4, "score_2": 6}], "cat_reason": "This is the deciding category. Video 1 maintains a stable subject identity, whereas Video 2 suffers from catastrophic morphological failure (face melting).", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is pleasant to watch and successfully conveys a performance vibe.", "reason_2": "The severe facial distortions create a disturbing, 'uncanny valley' effect that ruins the aesthetic appeal.", "score_1": 8, "score_2": 2}, {"name": "Emotional Impact (Passion vs. Distortion)", "reason_1": "The dancer's expression, while imperfect, conveys the requested passion and intensity.", "reason_2": "The distortion turns the intended passion into a grotesque expression, failing the emotional prompt.", "score_1": 7, "score_2": 3}, {"name": "Camera Motion & Framing", "reason_1": "The camera framing keeps the subject centered and captures the movement reasonably well.", "reason_2": "The framing is acceptable, but the camera movement feels slightly disconnected from the subject's erratic morphing.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 captures the intended mood of a performance. Video 2 creates an unintentional horror aesthetic due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior temporal stability and subject coherence. While Video 2 offers sharper resolution and a more accurate 'crimson' color palette, it suffers from severe morphological breakdowns, particularly in the subject's face, which melts and distorts significantly. Video 1 maintains a consistent human identity and anatomical structure throughout the performance, successfully delivering the 'mesmerizing' and 'passionate' qualities requested without the disturbing visual artifacts present in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 58.0, "total_score_2": 32.0, "elapsed_sec": 56.93} +{"pair_id": "098_seed_930", "sample_index": 98, "seed": 930, "prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_930_In a dimly lit studio an artist wearing a worn apr.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Glasses & Apron)\", \"reason_1\": \"Video 1 clearly depicts the artist wearing glasses and a worn apron as requested.\", \"reason_2\": \"Video 2 shows the apron but fails to render the glasses clearly; the facial features are distorted and lack the specific attribute.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Carving Mechanics)\", \"reason_1\": \"Video 1 shows a logical interaction between the tool and the material, with the hands positioned correctly for carving.\", \"reason_2\": \"Video 2 displays 'floating' hand movements where the tool does not physically interact with the sculpture, and the hands morph into the object.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Lighting & Dust)\", \"reason_1\": \"Video 1 successfully captures the 'dimly lit' studio vibe with warm tones and visible dust particles.\", \"reason_2\": \"Video 2 has a brighter, flatter lighting setup that lacks the atmospheric depth and specific 'dancing dust' effect requested.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific attributes (glasses, apron) and the action of carving. Video 2 fails to render the glasses clearly and the carving action is physically nonsensical.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Hands & Tools)\", \"reason_1\": \"The hands and tools in Video 1 maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the fingers melt into the sculpture, and the tool changes shape randomly.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The artist's face and hands remain consistent in appearance across the frames.\", \"reason_2\": \"The artist's face in Video 2 distorts significantly, losing identity and structural logic between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 renders realistic skin textures, marble grain, and fabric details.\", \"reason_2\": \"Video 2 has a 'smooth', plastic-like AI look with blurred textures and low definition.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and realism. Video 2 is plagued by severe artifacts, morphing, and lack of object permanence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"Video 1 utilizes contrast and warm lighting to create the 'intense concentration' and artistic mood described.\", \"reason_2\": \"Video 2 lacks cinematic lighting, appearing flat and washed out.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Focus & Composition\", \"reason_1\": \"Video 1 effectively uses close-ups on the hands and face to convey the narrative of precision and passion.\", \"reason_2\": \"Video 2 has awkward framing where the subject is often cut off or obscured by generation artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Expression (Determination)\", \"reason_1\": \"The facial expression in Video 1 clearly conveys the 'focused determination' requested.\", \"reason_2\": \"The facial distortion in Video 2 makes it impossible to read any specific emotion or narrative intent.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 employs cinematic lighting and framing that enhances the narrative of an artist at work. Video 2 lacks aesthetic coherence due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It delivers a photorealistic, stable, and atmospherically accurate representation of the prompt, capturing the specific details like the glasses, the worn apron, and the dust particles in a dimly lit setting. Video 2 suffers from severe morphological instability, with the artist's hands and face melting and distorting significantly, and fails to maintain the requested lighting atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Glasses & Apron)", "reason_1": "Video 1 clearly depicts the artist wearing glasses and a worn apron as requested.", "reason_2": "Video 2 shows the apron but fails to render the glasses clearly; the facial features are distorted and lack the specific attribute.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Carving Mechanics)", "reason_1": "Video 1 shows a logical interaction between the tool and the material, with the hands positioned correctly for carving.", "reason_2": "Video 2 displays 'floating' hand movements where the tool does not physically interact with the sculpture, and the hands morph into the object.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Lighting & Dust)", "reason_1": "Video 1 successfully captures the 'dimly lit' studio vibe with warm tones and visible dust particles.", "reason_2": "Video 2 has a brighter, flatter lighting setup that lacks the atmospheric depth and specific 'dancing dust' effect requested.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific attributes (glasses, apron) and the action of carving. Video 2 fails to render the glasses clearly and the carving action is physically nonsensical.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Hands & Tools)", "reason_1": "The hands and tools in Video 1 maintain their shape and volume consistently throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the fingers melt into the sculpture, and the tool changes shape randomly.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The artist's face and hands remain consistent in appearance across the frames.", "reason_2": "The artist's face in Video 2 distorts significantly, losing identity and structural logic between frames.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 renders realistic skin textures, marble grain, and fabric details.", "reason_2": "Video 2 has a 'smooth', plastic-like AI look with blurred textures and low definition.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and realism. Video 2 is plagued by severe artifacts, morphing, and lack of object permanence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "Video 1 utilizes contrast and warm lighting to create the 'intense concentration' and artistic mood described.", "reason_2": "Video 2 lacks cinematic lighting, appearing flat and washed out.", "score_1": 9, "score_2": 1}, {"name": "Camera Focus & Composition", "reason_1": "Video 1 effectively uses close-ups on the hands and face to convey the narrative of precision and passion.", "reason_2": "Video 2 has awkward framing where the subject is often cut off or obscured by generation artifacts.", "score_1": 8, "score_2": 2}, {"name": "Narrative Expression (Determination)", "reason_1": "The facial expression in Video 1 clearly conveys the 'focused determination' requested.", "reason_2": "The facial distortion in Video 2 makes it impossible to read any specific emotion or narrative intent.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 employs cinematic lighting and framing that enhances the narrative of an artist at work. Video 2 lacks aesthetic coherence due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It delivers a photorealistic, stable, and atmospherically accurate representation of the prompt, capturing the specific details like the glasses, the worn apron, and the dust particles in a dimly lit setting. Video 2 suffers from severe morphological instability, with the artist's hands and face melting and distorting significantly, and fails to maintain the requested lighting atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 56.192} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0_summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15c82512399c5ea4db99e58191adc8985c765415 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0_summary.json @@ -0,0 +1,31 @@ +{ + "total": 38, + "success": 38, + "counts": { + "yw002-1-sage-baseline": 22, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 16, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.5789473684210527, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.42105263157894735 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.5789473684210527, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.42105263157894735 + }, + "latency_sec": { + "mean": 60.19155263157895, + "median": 58.727999999999994, + "min": 52.215, + "max": 78.18 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_0.jsonl", + "shard_count": 8, + "shard_index": 0 +} \ No newline at end of file diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1.jsonl b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3665474e14d81cf24277f013b1f6a8c607b9f299 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1.jsonl @@ -0,0 +1,38 @@ +{"pair_id": "000_seed_310", "sample_index": 0, "seed": 310, "prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_000_seed_310_A crystal-clear glass ball begins its journey acro.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_310_A crystal-clear glass ball begins its journey acro.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_000_seed_310_A crystal-clear glass ball begins its journey acro.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_310_A crystal-clear glass ball begins its journey acro.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Material Fidelity (Crystal-Clear Glass)\", \"reason_1\": \"Video 1 renders a perfectly clear, solid glass sphere with accurate refraction, matching the 'crystal-clear' description.\", \"reason_2\": \"Video 2 renders a hollow glass object with a visible rim and internal structure, resembling a paperweight or vase rather than a solid ball.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Adherence (Gentle Roll)\", \"reason_1\": \"Video 1 depicts a smooth, continuous rolling motion that aligns well with the 'gentle, mesmerizing roll' instruction.\", \"reason_2\": \"Video 2 shows the object wobbling and spinning in place rather than rolling across the table, failing the 'journey across' aspect.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Interaction (Shadows & Grain)\", \"reason_1\": \"The ball in Video 1 casts a realistic, shifting shadow that corresponds to its movement, and the wood grain is distinct.\", \"reason_2\": \"The shadows in Video 2 are inconsistent with the object's movement, and the interaction with the table surface feels disconnected.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts a solid 'crystal-clear glass ball' rolling across a table. Video 2 fails the core subject definition by rendering a hollow, vase-like object and fails the motion prompt by having the object wobble in place rather than roll across the surface.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Shape Consistency)\", \"reason_1\": \"The sphere in Video 1 maintains a perfect geometric shape throughout the clip.\", \"reason_2\": \"The object in Video 2 constantly warps, changing from a sphere to an egg shape and back, exhibiting severe temporal instability.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Physics & Momentum Plausibility\", \"reason_1\": \"The movement in Video 1 respects friction and momentum; the ball slows down naturally.\", \"reason_2\": \"Video 2 defies physics; the object spins on a fixed axis without translating forward, looking like a glitch rather than a physical object.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The texture of the wood and the clarity of the glass are sharp and high-resolution.\", \"reason_2\": \"The video is blurry, and the textures on the glass object are muddy and undefined.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe morphological instability (shape-shifting) and unrealistic physics.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Serenity & Grace)\", \"reason_1\": \"The smooth motion and clean lighting create the 'tranquil atmosphere' and 'serene dance' requested.\", \"reason_2\": \"The erratic wobbling and shape-shifting create a chaotic and unsettling vibe, completely missing the 'serene' mark.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Refraction Aesthetics\", \"reason_1\": \"The light refraction through the ball is aesthetically pleasing and realistic, enhancing the visual appeal.\", \"reason_2\": \"The lighting is flat, and the refraction looks like a distorted texture map rather than optical physics.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Stability & Framing\", \"reason_1\": \"The camera is perfectly fixed, allowing the subject to move through the frame naturally.\", \"reason_2\": \"While the camera is fixed, the subject's erratic movement within the frame makes the composition feel accidental and unbalanced.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the 'serene' and 'mesmerizing' mood requested. Video 2 is visually jarring due to the glitchy motion and lack of aesthetic polish.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a superior generation that perfectly captures the physical properties of a solid glass ball and executes the requested rolling motion with high realism and stability. Video 2 suffers from significant hallucinations, rendering a hollow, morphing object that wobbles in place rather than rolling, failing both the semantic and physical requirements of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Material Fidelity (Crystal-Clear Glass)", "reason_1": "Video 1 renders a perfectly clear, solid glass sphere with accurate refraction, matching the 'crystal-clear' description.", "reason_2": "Video 2 renders a hollow glass object with a visible rim and internal structure, resembling a paperweight or vase rather than a solid ball.", "score_1": 9, "score_2": 1}, {"name": "Action Adherence (Gentle Roll)", "reason_1": "Video 1 depicts a smooth, continuous rolling motion that aligns well with the 'gentle, mesmerizing roll' instruction.", "reason_2": "Video 2 shows the object wobbling and spinning in place rather than rolling across the table, failing the 'journey across' aspect.", "score_1": 8, "score_2": 2}, {"name": "Environmental Interaction (Shadows & Grain)", "reason_1": "The ball in Video 1 casts a realistic, shifting shadow that corresponds to its movement, and the wood grain is distinct.", "reason_2": "The shadows in Video 2 are inconsistent with the object's movement, and the interaction with the table surface feels disconnected.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts a solid 'crystal-clear glass ball' rolling across a table. Video 2 fails the core subject definition by rendering a hollow, vase-like object and fails the motion prompt by having the object wobble in place rather than roll across the surface.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Shape Consistency)", "reason_1": "The sphere in Video 1 maintains a perfect geometric shape throughout the clip.", "reason_2": "The object in Video 2 constantly warps, changing from a sphere to an egg shape and back, exhibiting severe temporal instability.", "score_1": 10, "score_2": 0}, {"name": "Physics & Momentum Plausibility", "reason_1": "The movement in Video 1 respects friction and momentum; the ball slows down naturally.", "reason_2": "Video 2 defies physics; the object spins on a fixed axis without translating forward, looking like a glitch rather than a physical object.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The texture of the wood and the clarity of the glass are sharp and high-resolution.", "reason_2": "The video is blurry, and the textures on the glass object are muddy and undefined.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe morphological instability (shape-shifting) and unrealistic physics.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Serenity & Grace)", "reason_1": "The smooth motion and clean lighting create the 'tranquil atmosphere' and 'serene dance' requested.", "reason_2": "The erratic wobbling and shape-shifting create a chaotic and unsettling vibe, completely missing the 'serene' mark.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Refraction Aesthetics", "reason_1": "The light refraction through the ball is aesthetically pleasing and realistic, enhancing the visual appeal.", "reason_2": "The lighting is flat, and the refraction looks like a distorted texture map rather than optical physics.", "score_1": 8, "score_2": 2}, {"name": "Camera Stability & Framing", "reason_1": "The camera is perfectly fixed, allowing the subject to move through the frame naturally.", "reason_2": "While the camera is fixed, the subject's erratic movement within the frame makes the composition feel accidental and unbalanced.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the 'serene' and 'mesmerizing' mood requested. Video 2 is visually jarring due to the glitchy motion and lack of aesthetic polish.", "cat_winner": "Video 1"}], "reason": "Video 1 is a superior generation that perfectly captures the physical properties of a solid glass ball and executes the requested rolling motion with high realism and stability. Video 2 suffers from significant hallucinations, rendering a hollow, morphing object that wobbles in place rather than rolling, failing both the semantic and physical requirements of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 60.972} +{"pair_id": "003_seed_42", "sample_index": 3, "seed": 42, "prompt": "A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_003_seed_42_A couple strolls hand in hand down a bustling city.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_42_A couple strolls hand in hand down a bustling city.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_42_A couple strolls hand in hand down a bustling city.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_003_seed_42_A couple strolls hand in hand down a bustling city.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Attribute Fidelity\", \"reason_1\": \"Video 1 correctly depicts the navy coat, jeans, and red trench coat with black boots.\", \"reason_2\": \"Video 2 also correctly depicts all requested clothing attributes with high fidelity.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Interaction Specificity (Hand-in-Hand)\", \"reason_1\": \"The couple is holding hands, but the fingers are somewhat blended and lack definition.\", \"reason_2\": \"The hand-holding is distinct, with the intertwined fingers clearly visible and anatomically plausible.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Bustling Street)\", \"reason_1\": \"The street feels somewhat empty and the background elements are blurry and indistinct.\", \"reason_2\": \"The background features detailed cobblestones, bollards, and storefronts, creating a more convincing 'bustling' urban atmosphere.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Both videos adhere well to the clothing and subject descriptions. However, Video 2 renders the specific interaction of 'intertwined fingers' with greater clarity and places the couple in a more detailed, convincing urban environment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The subjects' faces, particularly the woman's, suffer from severe morphing and distortion throughout the clip.\", \"reason_2\": \"The subjects' faces remain consistent, sharp, and recognizable throughout the entire duration.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Locomotion Physics (Gait & Grounding)\", \"reason_1\": \"The subjects exhibit a 'sliding' or 'floating' effect where their feet do not seem to make solid contact with the ground.\", \"reason_2\": \"The walking motion is grounded; there is a sense of weight and proper contact with the pavement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The overall image is soft, with low-resolution textures on clothing and the environment.\", \"reason_2\": \"The video is crisp, with high-definition textures visible on the coats and the street surface.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the most significant differentiator. Video 2 maintains high stability and sharpness, whereas Video 1 suffers from severe facial morphing, sliding foot motion, and general blurriness.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Warm Sunset Hues)\", \"reason_1\": \"The lighting is somewhat flat and lacks the specific warm, golden-hour glow requested.\", \"reason_2\": \"The video features a rich, warm color palette that effectively evokes the 'setting sun' atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Emotional Expression & Connection\", \"reason_1\": \"Due to facial distortion, the intended smiles and affectionate glances appear unnatural and creepy.\", \"reason_2\": \"The subjects exchange clear, natural smiles and glances, successfully conveying the requested sense of unity and affection.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Depth\", \"reason_1\": \"The composition is standard but lacks depth due to the blurry background.\", \"reason_2\": \"The framing uses the street's perspective lines effectively to draw the eye to the couple, creating a cinematic look.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the romantic mood and 'warm hues' of the prompt much better, creating a pleasing aesthetic. Video 1's technical flaws distract significantly from the intended emotional tone.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in terms of visual fidelity, temporal stability, and aesthetic quality. While both videos attempt the prompt's semantic requirements, Video 1 suffers from significant facial distortion, 'floating' foot motion, and a lack of texture detail. Video 2 delivers a sharp, high-resolution image with stable character identities, realistic walking physics, and a much more accurate representation of the requested warm, sunset lighting.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Attribute Fidelity", "reason_1": "Video 1 correctly depicts the navy coat, jeans, and red trench coat with black boots.", "reason_2": "Video 2 also correctly depicts all requested clothing attributes with high fidelity.", "score_1": 5, "score_2": 5}, {"name": "Interaction Specificity (Hand-in-Hand)", "reason_1": "The couple is holding hands, but the fingers are somewhat blended and lack definition.", "reason_2": "The hand-holding is distinct, with the intertwined fingers clearly visible and anatomically plausible.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Bustling Street)", "reason_1": "The street feels somewhat empty and the background elements are blurry and indistinct.", "reason_2": "The background features detailed cobblestones, bollards, and storefronts, creating a more convincing 'bustling' urban atmosphere.", "score_1": 3, "score_2": 7}], "cat_reason": "Both videos adhere well to the clothing and subject descriptions. However, Video 2 renders the specific interaction of 'intertwined fingers' with greater clarity and places the couple in a more detailed, convincing urban environment.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The subjects' faces, particularly the woman's, suffer from severe morphing and distortion throughout the clip.", "reason_2": "The subjects' faces remain consistent, sharp, and recognizable throughout the entire duration.", "score_1": 2, "score_2": 8}, {"name": "Locomotion Physics (Gait & Grounding)", "reason_1": "The subjects exhibit a 'sliding' or 'floating' effect where their feet do not seem to make solid contact with the ground.", "reason_2": "The walking motion is grounded; there is a sense of weight and proper contact with the pavement.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The overall image is soft, with low-resolution textures on clothing and the environment.", "reason_2": "The video is crisp, with high-definition textures visible on the coats and the street surface.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the most significant differentiator. Video 2 maintains high stability and sharpness, whereas Video 1 suffers from severe facial morphing, sliding foot motion, and general blurriness.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Warm Sunset Hues)", "reason_1": "The lighting is somewhat flat and lacks the specific warm, golden-hour glow requested.", "reason_2": "The video features a rich, warm color palette that effectively evokes the 'setting sun' atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Emotional Expression & Connection", "reason_1": "Due to facial distortion, the intended smiles and affectionate glances appear unnatural and creepy.", "reason_2": "The subjects exchange clear, natural smiles and glances, successfully conveying the requested sense of unity and affection.", "score_1": 2, "score_2": 8}, {"name": "Composition & Depth", "reason_1": "The composition is standard but lacks depth due to the blurry background.", "reason_2": "The framing uses the street's perspective lines effectively to draw the eye to the couple, creating a cinematic look.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the romantic mood and 'warm hues' of the prompt much better, creating a pleasing aesthetic. Video 1's technical flaws distract significantly from the intended emotional tone.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in terms of visual fidelity, temporal stability, and aesthetic quality. While both videos attempt the prompt's semantic requirements, Video 1 suffers from significant facial distortion, 'floating' foot motion, and a lack of texture detail. Video 2 delivers a sharp, high-resolution image with stable character identities, realistic walking physics, and a much more accurate representation of the requested warm, sunset lighting.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 57.466} +{"pair_id": "005_seed_930", "sample_index": 5, "seed": 930, "prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_005_seed_930_The video begins with a rapid zoom towards a vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_930_The video begins with a rapid zoom towards a vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_005_seed_930_The video begins with a rapid zoom towards a vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_930_The video begins with a rapid zoom towards a vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Zoom Mechanics)\", \"reason_1\": \"Video 1 executes a clear, continuous zoom towards the subject as requested.\", \"reason_2\": \"Video 2 fails to zoom; instead, the subject rotates and morphs in place, violating the prompt's movement instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Rendering (Dew & Texture)\", \"reason_1\": \"The dew drops in Video 1 are rendered with realistic refraction and sit naturally on the petal surface.\", \"reason_2\": \"The 'dew' in Video 2 appears as a static, artificial texture map that does not interact with the changing geometry of the flower.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Structural Logic\", \"reason_1\": \"The rose maintains a logical botanical structure throughout the zoom.\", \"reason_2\": \"The rose's center and petal arrangement shift and rearrange themselves illogically during the clip.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately follows the 'zoom' instruction and renders the specific attributes (dew, velvet texture) realistically. Video 2 fails the movement instruction and presents a morphing subject rather than a zooming camera.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The subject remains solid and consistent in form throughout the video.\", \"reason_2\": \"The subject suffers from severe 'boiling' and morphing, where petals grow, shrink, and change shape randomly.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high-definition details visible in the petals.\", \"reason_2\": \"The video is blurry and lacks definition, appearing like a low-resolution upscale.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera movement is fluid and cinematic.\", \"reason_2\": \"The motion is jerky and unnatural, driven by the morphing of the object rather than camera physics.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by severe temporal incoherence, blurring, and object hallucination.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing focuses effectively on the rose, using depth of field to highlight the subject.\", \"reason_2\": \"The framing is erratic due to the subject's unstable rotation, failing to maintain a pleasing composition.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"Successfully captures the 'soft sunlight' and 'glistening' effect requested.\", \"reason_2\": \"Lighting is flat and inconsistent, failing to evoke the requested morning atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Aesthetically pleasing and suitable for high-quality production use.\", \"reason_2\": \"Visually distracting and unusable due to obvious generation artifacts.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 creates a beautiful, cohesive shot with good lighting and composition. Video 2 lacks aesthetic appeal due to its glitchy nature.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every regard, offering a stable, high-resolution depiction of a rose with realistic dew and a smooth camera zoom that aligns perfectly with the prompt. Video 2 suffers from severe morphological instability, where the rose petals and structure morph and hallucinate rather than maintaining a consistent form, and the camera movement is disjointed.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Zoom Mechanics)", "reason_1": "Video 1 executes a clear, continuous zoom towards the subject as requested.", "reason_2": "Video 2 fails to zoom; instead, the subject rotates and morphs in place, violating the prompt's movement instruction.", "score_1": 9, "score_2": 1}, {"name": "Attribute Rendering (Dew & Texture)", "reason_1": "The dew drops in Video 1 are rendered with realistic refraction and sit naturally on the petal surface.", "reason_2": "The 'dew' in Video 2 appears as a static, artificial texture map that does not interact with the changing geometry of the flower.", "score_1": 8, "score_2": 2}, {"name": "Subject Structural Logic", "reason_1": "The rose maintains a logical botanical structure throughout the zoom.", "reason_2": "The rose's center and petal arrangement shift and rearrange themselves illogically during the clip.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately follows the 'zoom' instruction and renders the specific attributes (dew, velvet texture) realistically. Video 2 fails the movement instruction and presents a morphing subject rather than a zooming camera.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The subject remains solid and consistent in form throughout the video.", "reason_2": "The subject suffers from severe 'boiling' and morphing, where petals grow, shrink, and change shape randomly.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high-definition details visible in the petals.", "reason_2": "The video is blurry and lacks definition, appearing like a low-resolution upscale.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The camera movement is fluid and cinematic.", "reason_2": "The motion is jerky and unnatural, driven by the morphing of the object rather than camera physics.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by severe temporal incoherence, blurring, and object hallucination.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "The framing focuses effectively on the rose, using depth of field to highlight the subject.", "reason_2": "The framing is erratic due to the subject's unstable rotation, failing to maintain a pleasing composition.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Atmosphere", "reason_1": "Successfully captures the 'soft sunlight' and 'glistening' effect requested.", "reason_2": "Lighting is flat and inconsistent, failing to evoke the requested morning atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Aesthetically pleasing and suitable for high-quality production use.", "reason_2": "Visually distracting and unusable due to obvious generation artifacts.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 creates a beautiful, cohesive shot with good lighting and composition. Video 2 lacks aesthetic appeal due to its glitchy nature.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every regard, offering a stable, high-resolution depiction of a rose with realistic dew and a smooth camera zoom that aligns perfectly with the prompt. Video 2 suffers from severe morphological instability, where the rose petals and structure morph and hallucinate rather than maintaining a consistent form, and the camera movement is disjointed.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 53.425} +{"pair_id": "008_seed_310", "sample_index": 8, "seed": 310, "prompt": "From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_008_seed_310_From a high vantage point the camera captures a bu.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_310_From a high vantage point the camera captures a bu.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_310_From a high vantage point the camera captures a bu.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_008_seed_310_From a high vantage point the camera captures a bu.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Lighting (Golden Hour)\", \"reason_1\": \"Video 1 features generic daylight with harsh, flat lighting that fails to evoke the 'soft, golden' or 'warm embrace' described in the prompt.\", \"reason_2\": \"Video 2 perfectly renders the 'golden lighting' and 'setting sun' atmosphere, creating the specific mood requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Action (Choreographed Movement)\", \"reason_1\": \"Video 1 shows chaotic, sliding motion where pedestrians glide across the screen without realistic walking mechanics, failing the 'choreographed' aspect entirely.\", \"reason_2\": \"The pedestrians in Video 2 move with a natural rhythm that approximates the 'synchronized dance' description reasonably well.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (High Vantage Point)\", \"reason_1\": \"Video 1 uses a high angle, but the perspective feels flattened and lacks the depth required to show a 'tapestry of urban life'.\", \"reason_2\": \"Video 2 establishes a clear, deep high vantage point that allows for a realistic view of the street layout and crosswalks.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately captures the specific atmospheric and lighting requirements of the prompt, whereas Video 1 fails to render the 'golden lighting' and presents a chaotic rather than 'choreographed' scene.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Pedestrians)\", \"reason_1\": \"Video 1 exhibits severe morphing; pedestrians frequently melt into the road, lose limbs, or merge with other objects.\", \"reason_2\": \"Subjects in Video 2 maintain their human form and structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Physics (Grounding & Gravity)\", \"reason_1\": \"Subjects in Video 1 slide across the ground without lifting their feet ('ice skating' effect), completely breaking physical plausibility.\", \"reason_2\": \"Movement in Video 2 respects gravity; feet plant on the ground, and shadows align correctly with the movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, pixelated, and suffers from significant compression-like artifacts.\", \"reason_2\": \"The image is crisp, with well-defined edges and textures.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains high visual fidelity and stability. Video 1 is plagued by severe artifacts, including subject morphing, sliding motion, and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The color palette is washed out and dull, lacking the vibrancy requested.\", \"reason_2\": \"The colors are rich and warm, effectively highlighting the 'vibrant hues' mentioned in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing feels cluttered and lacks a focal point, resembling a low-quality surveillance feed.\", \"reason_2\": \"The framing is balanced, utilizing the long shadows to create leading lines and depth.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to the heavy distortion and lack of clarity.\", \"reason_2\": \"The video is aesthetically pleasing and looks like a professional shot.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 offers a cinematic, visually pleasing composition with rich colors. Video 1 lacks aesthetic appeal due to its glitchy nature and dull color palette.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is superior in every category. It successfully captures the 'golden lighting' and 'soft' atmosphere requested, while maintaining high morphological stability for the pedestrians. Video 1 suffers from severe hallucinations, low resolution, and unnatural 'sliding' motion artifacts that break the realism entirely.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Lighting (Golden Hour)", "reason_1": "Video 1 features generic daylight with harsh, flat lighting that fails to evoke the 'soft, golden' or 'warm embrace' described in the prompt.", "reason_2": "Video 2 perfectly renders the 'golden lighting' and 'setting sun' atmosphere, creating the specific mood requested.", "score_1": 1, "score_2": 9}, {"name": "Subject Action (Choreographed Movement)", "reason_1": "Video 1 shows chaotic, sliding motion where pedestrians glide across the screen without realistic walking mechanics, failing the 'choreographed' aspect entirely.", "reason_2": "The pedestrians in Video 2 move with a natural rhythm that approximates the 'synchronized dance' description reasonably well.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (High Vantage Point)", "reason_1": "Video 1 uses a high angle, but the perspective feels flattened and lacks the depth required to show a 'tapestry of urban life'.", "reason_2": "Video 2 establishes a clear, deep high vantage point that allows for a realistic view of the street layout and crosswalks.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately captures the specific atmospheric and lighting requirements of the prompt, whereas Video 1 fails to render the 'golden lighting' and presents a chaotic rather than 'choreographed' scene.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Pedestrians)", "reason_1": "Video 1 exhibits severe morphing; pedestrians frequently melt into the road, lose limbs, or merge with other objects.", "reason_2": "Subjects in Video 2 maintain their human form and structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Motion Physics (Grounding & Gravity)", "reason_1": "Subjects in Video 1 slide across the ground without lifting their feet ('ice skating' effect), completely breaking physical plausibility.", "reason_2": "Movement in Video 2 respects gravity; feet plant on the ground, and shadows align correctly with the movement.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, pixelated, and suffers from significant compression-like artifacts.", "reason_2": "The image is crisp, with well-defined edges and textures.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains high visual fidelity and stability. Video 1 is plagued by severe artifacts, including subject morphing, sliding motion, and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Vibrancy", "reason_1": "The color palette is washed out and dull, lacking the vibrancy requested.", "reason_2": "The colors are rich and warm, effectively highlighting the 'vibrant hues' mentioned in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Cinematic Composition", "reason_1": "The framing feels cluttered and lacks a focal point, resembling a low-quality surveillance feed.", "reason_2": "The framing is balanced, utilizing the long shadows to create leading lines and depth.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to the heavy distortion and lack of clarity.", "reason_2": "The video is aesthetically pleasing and looks like a professional shot.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 offers a cinematic, visually pleasing composition with rich colors. Video 1 lacks aesthetic appeal due to its glitchy nature and dull color palette.", "cat_winner": "Video 2"}], "reason": "Video 2 is superior in every category. It successfully captures the 'golden lighting' and 'soft' atmosphere requested, while maintaining high morphological stability for the pedestrians. Video 1 suffers from severe hallucinations, low resolution, and unnatural 'sliding' motion artifacts that break the realism entirely.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 13.0, "total_score_2": 77.0, "elapsed_sec": 56.472} +{"pair_id": "011_seed_42", "sample_index": 11, "seed": 42, "prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_011_seed_42_A poised model stands gracefully in a vibrant red.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Material Fidelity (Silk vs. Synthetic)\", \"reason_1\": \"Video 1 perfectly renders the soft, fluid drape of silk, matching the 'cascades elegantly' description.\", \"reason_2\": \"Video 2 renders a stiff, highly reflective material that resembles latex or metallic foil rather than silk.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Semantics (Gentle Sway)\", \"reason_1\": \"The model in Video 1 exhibits the requested 'gentle sway' and 'subtle movement'.\", \"reason_2\": \"The model in Video 2 is largely static with only minor, stiff adjustments, missing the 'sway' instruction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Completeness (Expression)\", \"reason_1\": \"Video 1 frames the subject to include the face, allowing for the 'serene expression' requested.\", \"reason_2\": \"Video 2 crops the subject at the neck, making it impossible to see the 'serene expression' or 'confident stance' fully.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific material properties of silk and the requested motion, whereas Video 2 fails to render the correct fabric texture and misses the facial expression requirement due to framing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Fabric Physics & Fluidity\", \"reason_1\": \"The fabric moves with realistic weight and fluidity, mimicking liquid silk as described.\", \"reason_2\": \"The fabric appears rigid and lacks the natural folding and flowing physics of silk.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting Interaction (Sheen)\", \"reason_1\": \"The light plays naturally across the folds, creating a realistic glossy sheen.\", \"reason_2\": \"The highlights are harsh and blown out, contributing to the artificial, plastic look.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Anatomical & Structural Integrity\", \"reason_1\": \"The model's anatomy is consistent and natural throughout the sway.\", \"reason_2\": \"The hands and arms appear slightly stiff and the cropping creates an awkward anatomical presentation.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior physics simulation for the fabric and more natural lighting interactions. Video 2 suffers from unnatural stiffness and harsh, plastic-looking highlights.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, showing the model from the waist up, which is aesthetically pleasing.\", \"reason_2\": \"The framing is poor, cutting off the model's head and focusing awkwardly on the torso.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmosphere (Opulence & Grace)\", \"reason_1\": \"Successfully evokes a mood of luxury and grace through soft lighting and fluid motion.\", \"reason_2\": \"Fails to convey opulence; the harsh texture and static pose feel clinical rather than luxurious.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony (Crimson Hues)\", \"reason_1\": \"Displays a rich, deep red that aligns well with 'rich crimson hues'.\", \"reason_2\": \"The color leans towards a metallic orange-copper rather than a deep crimson.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 presents a professional, fashion-editorial aesthetic with good framing. Video 2 has poor composition (headless crop) and a less appealing color palette.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific material properties of 'silk' requested in the prompt, exhibiting fluid, liquid-like ripples and a soft drape. Video 2 renders a stiff, metallic texture that resembles latex or plastic rather than silk. Furthermore, Video 1 adheres to the framing requirements to show the model's expression, whereas Video 2 awkwardly crops the head.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Material Fidelity (Silk vs. Synthetic)", "reason_1": "Video 1 perfectly renders the soft, fluid drape of silk, matching the 'cascades elegantly' description.", "reason_2": "Video 2 renders a stiff, highly reflective material that resembles latex or metallic foil rather than silk.", "score_1": 9, "score_2": 1}, {"name": "Motion Semantics (Gentle Sway)", "reason_1": "The model in Video 1 exhibits the requested 'gentle sway' and 'subtle movement'.", "reason_2": "The model in Video 2 is largely static with only minor, stiff adjustments, missing the 'sway' instruction.", "score_1": 8, "score_2": 2}, {"name": "Subject Completeness (Expression)", "reason_1": "Video 1 frames the subject to include the face, allowing for the 'serene expression' requested.", "reason_2": "Video 2 crops the subject at the neck, making it impossible to see the 'serene expression' or 'confident stance' fully.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific material properties of silk and the requested motion, whereas Video 2 fails to render the correct fabric texture and misses the facial expression requirement due to framing.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Fabric Physics & Fluidity", "reason_1": "The fabric moves with realistic weight and fluidity, mimicking liquid silk as described.", "reason_2": "The fabric appears rigid and lacks the natural folding and flowing physics of silk.", "score_1": 9, "score_2": 1}, {"name": "Lighting Interaction (Sheen)", "reason_1": "The light plays naturally across the folds, creating a realistic glossy sheen.", "reason_2": "The highlights are harsh and blown out, contributing to the artificial, plastic look.", "score_1": 8, "score_2": 2}, {"name": "Anatomical & Structural Integrity", "reason_1": "The model's anatomy is consistent and natural throughout the sway.", "reason_2": "The hands and arms appear slightly stiff and the cropping creates an awkward anatomical presentation.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior physics simulation for the fabric and more natural lighting interactions. Video 2 suffers from unnatural stiffness and harsh, plastic-looking highlights.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is balanced, showing the model from the waist up, which is aesthetically pleasing.", "reason_2": "The framing is poor, cutting off the model's head and focusing awkwardly on the torso.", "score_1": 9, "score_2": 1}, {"name": "Atmosphere (Opulence & Grace)", "reason_1": "Successfully evokes a mood of luxury and grace through soft lighting and fluid motion.", "reason_2": "Fails to convey opulence; the harsh texture and static pose feel clinical rather than luxurious.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony (Crimson Hues)", "reason_1": "Displays a rich, deep red that aligns well with 'rich crimson hues'.", "reason_2": "The color leans towards a metallic orange-copper rather than a deep crimson.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 presents a professional, fashion-editorial aesthetic with good framing. Video 2 has poor composition (headless crop) and a less appealing color palette.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific material properties of 'silk' requested in the prompt, exhibiting fluid, liquid-like ripples and a soft drape. Video 2 renders a stiff, metallic texture that resembles latex or plastic rather than silk. Furthermore, Video 1 adheres to the framing requirements to show the model's expression, whereas Video 2 awkwardly crops the head.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 56.157} +{"pair_id": "013_seed_930", "sample_index": 13, "seed": 930, "prompt": "A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_013_seed_930_A static camera captures a model standing confiden.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_013_seed_930_A static camera captures a model standing confiden.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_013_seed_930_A static camera captures a model standing confiden.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_013_seed_930_A static camera captures a model standing confiden.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Material Specificity (Cotton vs. Synthetic)\", \"reason_1\": \"Video 1 renders a smooth, shiny surface that resembles synthetic spandex or a 3D render, failing to capture the 'cotton' requirement.\", \"reason_2\": \"Video 2 perfectly renders the heathered, matte texture of cotton, aligning precisely with the prompt's material description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Garment Fit & Contouring\", \"reason_1\": \"The shirt in Video 1 appears somewhat rigid and lacks the natural drape of a cotton garment.\", \"reason_2\": \"Video 2 shows the fabric stretching naturally over the collarbones and chest, accurately reflecting the 'snug fit' and 'natural contours' requested.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Detail Visibility (Seams & Stitching)\", \"reason_1\": \"The seams in Video 1 are visible but appear as simple, flat lines without depth.\", \"reason_2\": \"Video 2 highlights the stitching with better lighting contrast, making the craftsmanship details more perceptible.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately interprets the material description, whereas Video 1 fails to distinguish between cotton and synthetic materials.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"The texture is overly smooth and plastic-like, lacking the micro-details of real fabric.\", \"reason_2\": \"The video displays high-fidelity texture, including the fuzz and weave of the cotton fabric, creating a convincing photorealistic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Volumetric Depth\", \"reason_1\": \"Lighting is flat and uniform, resulting in a lack of depth on the model's anatomy.\", \"reason_2\": \"Lighting is directional and creates realistic shadows in the neck and armpit areas, enhancing the 3D volume of the subject.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Temporal Stability (Texture Consistency)\", \"reason_1\": \"The smooth surface remains very stable with minimal noise.\", \"reason_2\": \"While realistic, the complex texture of the cotton creates slight temporal noise/shimmer during the subtle movements.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 achieves a high level of photorealism through superior texture rendering and lighting, while Video 1 looks artificial.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Commercial Fashion Aesthetic\", \"reason_1\": \"The visual style is generic and lacks the polish of a professional fashion showcase.\", \"reason_2\": \"The lighting, framing, and texture quality evoke a high-end commercial look suitable for a clothing brand.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Focus on Texture & Design\", \"reason_1\": \"The lack of surface detail fails to draw the eye to the 'craftsmanship' or 'texture' as requested.\", \"reason_2\": \"The visual emphasis is clearly on the fabric's quality and the garment's construction, fulfilling the prompt's aesthetic goal.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Presentation (Confidence & Posture)\", \"reason_1\": \"The posture is adequate but feels slightly stiff due to the rigid clothing simulation.\", \"reason_2\": \"The subtle breathing motion and natural chest expansion convey the 'relaxed posture' and 'confidence' more effectively.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully captures the aesthetic of a high-end fashion product showcase, whereas Video 1 feels like a basic technical demo.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily due to its superior material rendering. It successfully captures the specific 'cotton' texture requested in the prompt, showing realistic heathering and fabric weight, whereas Video 1 renders a smooth, synthetic-looking material that contradicts the prompt. Additionally, Video 2 features more realistic lighting and anatomical depth.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Material Specificity (Cotton vs. Synthetic)", "reason_1": "Video 1 renders a smooth, shiny surface that resembles synthetic spandex or a 3D render, failing to capture the 'cotton' requirement.", "reason_2": "Video 2 perfectly renders the heathered, matte texture of cotton, aligning precisely with the prompt's material description.", "score_1": 2, "score_2": 8}, {"name": "Garment Fit & Contouring", "reason_1": "The shirt in Video 1 appears somewhat rigid and lacks the natural drape of a cotton garment.", "reason_2": "Video 2 shows the fabric stretching naturally over the collarbones and chest, accurately reflecting the 'snug fit' and 'natural contours' requested.", "score_1": 4, "score_2": 6}, {"name": "Detail Visibility (Seams & Stitching)", "reason_1": "The seams in Video 1 are visible but appear as simple, flat lines without depth.", "reason_2": "Video 2 highlights the stitching with better lighting contrast, making the craftsmanship details more perceptible.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately interprets the material description, whereas Video 1 fails to distinguish between cotton and synthetic materials.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Photorealistic Texture Rendering", "reason_1": "The texture is overly smooth and plastic-like, lacking the micro-details of real fabric.", "reason_2": "The video displays high-fidelity texture, including the fuzz and weave of the cotton fabric, creating a convincing photorealistic look.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Volumetric Depth", "reason_1": "Lighting is flat and uniform, resulting in a lack of depth on the model's anatomy.", "reason_2": "Lighting is directional and creates realistic shadows in the neck and armpit areas, enhancing the 3D volume of the subject.", "score_1": 3, "score_2": 7}, {"name": "Temporal Stability (Texture Consistency)", "reason_1": "The smooth surface remains very stable with minimal noise.", "reason_2": "While realistic, the complex texture of the cotton creates slight temporal noise/shimmer during the subtle movements.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 achieves a high level of photorealism through superior texture rendering and lighting, while Video 1 looks artificial.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Commercial Fashion Aesthetic", "reason_1": "The visual style is generic and lacks the polish of a professional fashion showcase.", "reason_2": "The lighting, framing, and texture quality evoke a high-end commercial look suitable for a clothing brand.", "score_1": 3, "score_2": 7}, {"name": "Focus on Texture & Design", "reason_1": "The lack of surface detail fails to draw the eye to the 'craftsmanship' or 'texture' as requested.", "reason_2": "The visual emphasis is clearly on the fabric's quality and the garment's construction, fulfilling the prompt's aesthetic goal.", "score_1": 3, "score_2": 7}, {"name": "Subject Presentation (Confidence & Posture)", "reason_1": "The posture is adequate but feels slightly stiff due to the rigid clothing simulation.", "reason_2": "The subtle breathing motion and natural chest expansion convey the 'relaxed posture' and 'confidence' more effectively.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully captures the aesthetic of a high-end fashion product showcase, whereas Video 1 feels like a basic technical demo.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily due to its superior material rendering. It successfully captures the specific 'cotton' texture requested in the prompt, showing realistic heathering and fabric weight, whereas Video 1 renders a smooth, synthetic-looking material that contradicts the prompt. Additionally, Video 2 features more realistic lighting and anatomical depth.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 56.2} +{"pair_id": "016_seed_310", "sample_index": 16, "seed": 310, "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_310_A man in a sleek black tracksuit stands poised on.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_310_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_310_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_310_A man in a sleek black tracksuit stands poised on.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Springing Upward)\", \"reason_1\": \"Video 1 depicts a clear, vertical jump where the subject leaves the ground and extends arms, matching the 'springs upward' instruction perfectly.\", \"reason_2\": \"Video 2 shows a subject bending over and then morphing into a standing position; there is no distinct 'spring' or vertical leap.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Sleek Black Tracksuit)\", \"reason_1\": \"The subject wears a clearly defined, sleek black tracksuit that maintains its texture and form throughout the clip.\", \"reason_2\": \"The clothing is black but lacks definition, appearing more like a morphing blob than a specific 'sleek tracksuit'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Sunlit Field & Sky)\", \"reason_1\": \"The video clearly shows a vibrant green field and a clear blue sky, consistent with the prompt's setting.\", \"reason_2\": \"While a green background is present, the sky is barely visible, and the environment feels claustrophobic and poorly defined.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific action of 'springing upward' and the 'sleek black tracksuit' within the correct environment. Video 2 fails to depict a clear jump, instead showing a confusing morphing motion from a bent position.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Body Integrity)\", \"reason_1\": \"The subject's body proportions remain consistent and realistic throughout the jump.\", \"reason_2\": \"The subject's body warps significantly; the transition from bent to standing is a glitchy morph rather than a physical movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The face remains recognizable and human-like throughout the motion.\", \"reason_2\": \"The face distorts severely, turning into a blur of pixels and losing all human features by the end of the clip.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Physics & Gravity\", \"reason_1\": \"The jump follows a logical trajectory with appropriate gravity and momentum.\", \"reason_2\": \"The movement is unnatural, appearing as a sudden teleportation or glitch rather than a physical jump.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and realism. Video 2 exhibits severe hallucinations, with the subject's face and body melting and distorting significantly during the movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Framing & Composition (Full Body)\", \"reason_1\": \"The camera keeps the entire body in frame, allowing the viewer to see the full extension of the jump.\", \"reason_2\": \"The framing is awkward, cutting off parts of the subject and failing to capture the 'entire body' effectively during the motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Appeal & Clarity\", \"reason_1\": \"The image is sharp, colorful, and visually pleasing, resembling a professional sports shot.\", \"reason_2\": \"The video is blurry, distorted, and visually disturbing due to the heavy artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Expression of Energy & Readiness\", \"reason_1\": \"The subject's posture and the height of the jump effectively convey the 'powerful energy' and 'readiness' requested.\", \"reason_2\": \"The chaotic morphing conveys confusion rather than athletic energy or readiness.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a clean, aesthetically pleasing shot that captures the energy of the prompt. Video 2 is visually unpleasant due to the heavy distortion and lack of clear framing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every regard, offering a stable, coherent, and visually pleasing representation of the prompt. It successfully depicts the full-body jump with consistent anatomy and a clear environment. Video 2 suffers from catastrophic morphological failure, where the subject's face and body distort severely, and the motion resembles a glitchy morph rather than a physical jump.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Springing Upward)", "reason_1": "Video 1 depicts a clear, vertical jump where the subject leaves the ground and extends arms, matching the 'springs upward' instruction perfectly.", "reason_2": "Video 2 shows a subject bending over and then morphing into a standing position; there is no distinct 'spring' or vertical leap.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Sleek Black Tracksuit)", "reason_1": "The subject wears a clearly defined, sleek black tracksuit that maintains its texture and form throughout the clip.", "reason_2": "The clothing is black but lacks definition, appearing more like a morphing blob than a specific 'sleek tracksuit'.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Sunlit Field & Sky)", "reason_1": "The video clearly shows a vibrant green field and a clear blue sky, consistent with the prompt's setting.", "reason_2": "While a green background is present, the sky is barely visible, and the environment feels claustrophobic and poorly defined.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific action of 'springing upward' and the 'sleek black tracksuit' within the correct environment. Video 2 fails to depict a clear jump, instead showing a confusing morphing motion from a bent position.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Body Integrity)", "reason_1": "The subject's body proportions remain consistent and realistic throughout the jump.", "reason_2": "The subject's body warps significantly; the transition from bent to standing is a glitchy morph rather than a physical movement.", "score_1": 9, "score_2": 1}, {"name": "Facial Identity Persistence", "reason_1": "The face remains recognizable and human-like throughout the motion.", "reason_2": "The face distorts severely, turning into a blur of pixels and losing all human features by the end of the clip.", "score_1": 8, "score_2": 2}, {"name": "Motion Physics & Gravity", "reason_1": "The jump follows a logical trajectory with appropriate gravity and momentum.", "reason_2": "The movement is unnatural, appearing as a sudden teleportation or glitch rather than a physical jump.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and realism. Video 2 exhibits severe hallucinations, with the subject's face and body melting and distorting significantly during the movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Framing & Composition (Full Body)", "reason_1": "The camera keeps the entire body in frame, allowing the viewer to see the full extension of the jump.", "reason_2": "The framing is awkward, cutting off parts of the subject and failing to capture the 'entire body' effectively during the motion.", "score_1": 9, "score_2": 1}, {"name": "Visual Appeal & Clarity", "reason_1": "The image is sharp, colorful, and visually pleasing, resembling a professional sports shot.", "reason_2": "The video is blurry, distorted, and visually disturbing due to the heavy artifacts.", "score_1": 9, "score_2": 1}, {"name": "Expression of Energy & Readiness", "reason_1": "The subject's posture and the height of the jump effectively convey the 'powerful energy' and 'readiness' requested.", "reason_2": "The chaotic morphing conveys confusion rather than athletic energy or readiness.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a clean, aesthetically pleasing shot that captures the energy of the prompt. Video 2 is visually unpleasant due to the heavy distortion and lack of clear framing.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every regard, offering a stable, coherent, and visually pleasing representation of the prompt. It successfully depicts the full-body jump with consistent anatomy and a clear environment. Video 2 suffers from catastrophic morphological failure, where the subject's face and body distort severely, and the motion resembles a glitchy morph rather than a physical jump.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 57.802} +{"pair_id": "019_seed_42", "sample_index": 19, "seed": 42, "prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_42_A static camera captures a charming scene of a lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_42_A static camera captures a charming scene of a lit.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_42_A static camera captures a charming scene of a lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_42_A static camera captures a charming scene of a lit.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 correctly depicts the yellow raincoat, red boots, and curly hair, though the details are somewhat soft.\", \"reason_2\": \"Video 2 also correctly depicts all attire and physical attributes with slightly sharper definition.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Detail (Flowers & Lampposts)\", \"reason_1\": \"Video 1 includes the street and buildings but lacks the distinct 'vintage lampposts' and 'flower-filled window boxes' requested.\", \"reason_2\": \"Video 2 explicitly renders the vintage lampposts and colorful flower boxes, aligning perfectly with the 'storybook setting' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Logic (Dog Glancing Back)\", \"reason_1\": \"The dog in Video 1 runs forward but does not clearly exhibit the behavior of 'glancing back' to check on the girl.\", \"reason_2\": \"The dog in Video 2 turns its head distinctly to look back at the girl, fulfilling the specific interaction prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the specific environmental details (lampposts, flowers) and the specific interaction (dog looking back) much better than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The girl's face in Video 1 suffers from severe distortion and 'melting' artifacts throughout the clip, breaking immersion.\", \"reason_2\": \"Video 2 maintains a consistent, recognizable, and anatomically correct face for the girl throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The overall image is soft, with muddy textures on the cobblestones and clothing.\", \"reason_2\": \"The video is crisp, with high-definition textures visible on the raincoat, dog fur, and cobblestones.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics (Foot Contact)\", \"reason_1\": \"The subjects exhibit significant 'sliding' or 'moonwalking' where foot placement does not match the ground speed.\", \"reason_2\": \"While still slightly floaty, the motion is more grounded, and the bounce of the hair and coat feels more physically plausible.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, maintaining subject identity and facial structure, whereas Video 1 suffers from severe morphological instability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Sunlight & Shadows)\", \"reason_1\": \"The lighting is flat and lacks the dynamic 'playful shadows' described in the prompt.\", \"reason_2\": \"Video 2 features dappled sunlight filtering through trees, creating the requested whimsical and dynamic lighting atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are somewhat washed out and lack the 'bright' and 'colorful' punch requested.\", \"reason_2\": \"The colors are vibrant and saturated, enhancing the 'storybook' aesthetic and making the yellow raincoat pop.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is low due to the uncanny valley effect of the distorted face and lower resolution.\", \"reason_2\": \"The video is aesthetically pleasing, resembling a high-quality animated film or commercial.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully creates the 'whimsical' and 'picturesque' atmosphere through superior lighting and color grading.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, facial stability, and environmental detail. While Video 1 captures the basic semantic elements, it suffers from severe facial distortion and lower resolution. Video 2 delivers a crisp, high-definition image with stable character identity, vibrant lighting that matches the 'whimsical' prompt, and clearer inclusion of specific details like the vintage lampposts and flower boxes.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 correctly depicts the yellow raincoat, red boots, and curly hair, though the details are somewhat soft.", "reason_2": "Video 2 also correctly depicts all attire and physical attributes with slightly sharper definition.", "score_1": 5, "score_2": 5}, {"name": "Environmental Detail (Flowers & Lampposts)", "reason_1": "Video 1 includes the street and buildings but lacks the distinct 'vintage lampposts' and 'flower-filled window boxes' requested.", "reason_2": "Video 2 explicitly renders the vintage lampposts and colorful flower boxes, aligning perfectly with the 'storybook setting' description.", "score_1": 3, "score_2": 7}, {"name": "Action Logic (Dog Glancing Back)", "reason_1": "The dog in Video 1 runs forward but does not clearly exhibit the behavior of 'glancing back' to check on the girl.", "reason_2": "The dog in Video 2 turns its head distinctly to look back at the girl, fulfilling the specific interaction prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the specific environmental details (lampposts, flowers) and the specific interaction (dog looking back) much better than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The girl's face in Video 1 suffers from severe distortion and 'melting' artifacts throughout the clip, breaking immersion.", "reason_2": "Video 2 maintains a consistent, recognizable, and anatomically correct face for the girl throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The overall image is soft, with muddy textures on the cobblestones and clothing.", "reason_2": "The video is crisp, with high-definition textures visible on the raincoat, dog fur, and cobblestones.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics (Foot Contact)", "reason_1": "The subjects exhibit significant 'sliding' or 'moonwalking' where foot placement does not match the ground speed.", "reason_2": "While still slightly floaty, the motion is more grounded, and the bounce of the hair and coat feels more physically plausible.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, maintaining subject identity and facial structure, whereas Video 1 suffers from severe morphological instability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Sunlight & Shadows)", "reason_1": "The lighting is flat and lacks the dynamic 'playful shadows' described in the prompt.", "reason_2": "Video 2 features dappled sunlight filtering through trees, creating the requested whimsical and dynamic lighting atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are somewhat washed out and lack the 'bright' and 'colorful' punch requested.", "reason_2": "The colors are vibrant and saturated, enhancing the 'storybook' aesthetic and making the yellow raincoat pop.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is low due to the uncanny valley effect of the distorted face and lower resolution.", "reason_2": "The video is aesthetically pleasing, resembling a high-quality animated film or commercial.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully creates the 'whimsical' and 'picturesque' atmosphere through superior lighting and color grading.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, facial stability, and environmental detail. While Video 1 captures the basic semantic elements, it suffers from severe facial distortion and lower resolution. Video 2 delivers a crisp, high-definition image with stable character identity, vibrant lighting that matches the 'whimsical' prompt, and clearer inclusion of specific details like the vintage lampposts and flower boxes.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 57.594} +{"pair_id": "021_seed_930", "sample_index": 21, "seed": 930, "prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_930_In a serene sunlit wetland a crocodile glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Action Fidelity (Gliding vs. Swimming)\", \"reason_1\": \"The crocodile in Video 1 is perfectly still, failing the prompt's instruction to 'glide effortlessly'.\", \"reason_2\": \"Video 2 depicts the crocodile actively swimming and gliding through the water, aligning well with the prompt's action verb.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Sunlit & Shimmering)\", \"reason_1\": \"Video 1 features a sunset/dusk palette with darker tones, missing the 'sunlit' and 'shimmering' descriptors.\", \"reason_2\": \"Video 2 captures the 'sunlit' and 'shimmering' water surface accurately, creating the requested warm atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Interaction (Flight Path Intersection)\", \"reason_1\": \"The bird flies in the background, far from the crocodile, lacking the requested 'intersection' or 'dance'.\", \"reason_2\": \"The bird flies directly over the crocodile, creating a closer spatial relationship that better approximates the requested interaction.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly interprets the prompt's action verbs and environmental descriptors, whereas Video 1 fails to animate the crocodile and misses the lighting cues.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The subjects in Video 1 maintain perfect structural integrity throughout the clip.\", \"reason_2\": \"The bird in Video 2 suffers from severe morphing and shape distortion during flight, breaking realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Physics & Fluidity\", \"reason_1\": \"Video 1 lacks dynamic motion; the crocodile is frozen, making the scene feel like a cinemagraph.\", \"reason_2\": \"Video 2 displays realistic water displacement and swimming physics, despite the artifacts on the bird.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Texture Resolution\", \"reason_1\": \"Video 1 is sharp, clear, and high-resolution with defined textures.\", \"reason_2\": \"Video 2 appears blurry, low-resolution, and lacks fine texture detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is technically superior in terms of image sharpness and subject stability, while Video 2 suffers from significant morphing artifacts on the bird.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 utilizes a balanced wide shot with excellent framing of the subjects and environment.\", \"reason_2\": \"Video 2 has a cluttered composition with foreground grass obscuring the view and a less deliberate framing.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Energy (The 'Dance' of Nature)\", \"reason_1\": \"The lack of movement in Video 1 results in a static scene devoid of the requested narrative energy.\", \"reason_2\": \"The movement of the crocodile and the proximity of the bird in Video 2 successfully convey the 'harmonious dance' described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is aesthetically pleasing and looks like a professional photograph.\", \"reason_2\": \"Video 2 is visually messy and suffers from digital artifacts that detract from its appeal.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers a much more pleasing composition and professional look, whereas Video 2 is cluttered and visually chaotic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 2 is the winner because it successfully executes the core dynamic requirements of the prompt, specifically the crocodile 'gliding' through the water and the 'sunlit' atmosphere. While Video 1 offers superior image resolution and stability, it fails semantically by presenting a static, frozen crocodile and a darker, dusk-like environment that contradicts the 'sunlit' and 'gliding' instructions. Video 2 captures the requested narrative action and lighting, despite suffering from lower resolution and some morphological instability in the bird.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Action Fidelity (Gliding vs. Swimming)", "reason_1": "The crocodile in Video 1 is perfectly still, failing the prompt's instruction to 'glide effortlessly'.", "reason_2": "Video 2 depicts the crocodile actively swimming and gliding through the water, aligning well with the prompt's action verb.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Sunlit & Shimmering)", "reason_1": "Video 1 features a sunset/dusk palette with darker tones, missing the 'sunlit' and 'shimmering' descriptors.", "reason_2": "Video 2 captures the 'sunlit' and 'shimmering' water surface accurately, creating the requested warm atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Subject Interaction (Flight Path Intersection)", "reason_1": "The bird flies in the background, far from the crocodile, lacking the requested 'intersection' or 'dance'.", "reason_2": "The bird flies directly over the crocodile, creating a closer spatial relationship that better approximates the requested interaction.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly interprets the prompt's action verbs and environmental descriptors, whereas Video 1 fails to animate the crocodile and misses the lighting cues.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "The subjects in Video 1 maintain perfect structural integrity throughout the clip.", "reason_2": "The bird in Video 2 suffers from severe morphing and shape distortion during flight, breaking realism.", "score_1": 9, "score_2": 1}, {"name": "Motion Physics & Fluidity", "reason_1": "Video 1 lacks dynamic motion; the crocodile is frozen, making the scene feel like a cinemagraph.", "reason_2": "Video 2 displays realistic water displacement and swimming physics, despite the artifacts on the bird.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Texture Resolution", "reason_1": "Video 1 is sharp, clear, and high-resolution with defined textures.", "reason_2": "Video 2 appears blurry, low-resolution, and lacks fine texture detail.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is technically superior in terms of image sharpness and subject stability, while Video 2 suffers from significant morphing artifacts on the bird.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 utilizes a balanced wide shot with excellent framing of the subjects and environment.", "reason_2": "Video 2 has a cluttered composition with foreground grass obscuring the view and a less deliberate framing.", "score_1": 8, "score_2": 2}, {"name": "Narrative Energy (The 'Dance' of Nature)", "reason_1": "The lack of movement in Video 1 results in a static scene devoid of the requested narrative energy.", "reason_2": "The movement of the crocodile and the proximity of the bird in Video 2 successfully convey the 'harmonious dance' described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is aesthetically pleasing and looks like a professional photograph.", "reason_2": "Video 2 is visually messy and suffers from digital artifacts that detract from its appeal.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers a much more pleasing composition and professional look, whereas Video 2 is cluttered and visually chaotic.", "cat_winner": "Video 1"}], "reason": "Video 2 is the winner because it successfully executes the core dynamic requirements of the prompt, specifically the crocodile 'gliding' through the water and the 'sunlit' atmosphere. While Video 1 offers superior image resolution and stability, it fails semantically by presenting a static, frozen crocodile and a darker, dusk-like environment that contradicts the 'sunlit' and 'gliding' instructions. Video 2 captures the requested narrative action and lighting, despite suffering from lower resolution and some morphological instability in the bird.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 47.0, "total_score_2": 43.0, "elapsed_sec": 74.576} +{"pair_id": "024_seed_310", "sample_index": 24, "seed": 310, "prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_310_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_310_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_310_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_310_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Ingredient Completeness (Peanuts, Peppers, Chilies)\", \"reason_1\": \"Video 1 clearly displays the required peanuts, green peppers, and red chilies in a balanced ratio.\", \"reason_2\": \"Video 2 also successfully includes all mandated ingredients, with a slightly higher density of peanuts.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Glossy Sauce & Texture)\", \"reason_1\": \"The sauce in Video 1 has a realistic, viscous sheen that looks like a 'savory glaze' clinging to the food.\", \"reason_2\": \"The sauce in Video 2 appears overly thick and plastic-like, lacking the natural texture of a savory glaze.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Steam & Rice Bed)\", \"reason_1\": \"Video 1 shows the rice bed clearly and the steam is subtle and realistic.\", \"reason_2\": \"Video 2 shows the rice bed, but the steam effect is somewhat overpowering and less integrated with the scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Both videos successfully include all prompt elements, but Video 1 renders the specific attributes (glossy sauce, fluffy rice) with greater naturalism.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Ingredient Consistency)\", \"reason_1\": \"The chicken and vegetables maintain their rigid shapes perfectly throughout the camera movement.\", \"reason_2\": \"The ingredients in Video 2 exhibit noticeable 'breathing' and warping, where the shapes of the chicken and peppers shift unnaturally.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Fidelity (Organic vs. Synthetic)\", \"reason_1\": \"The textures of the meat and vegetables look organic and edible.\", \"reason_2\": \"The food surfaces look overly smooth and synthetic, resembling a 3D render rather than real food.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Naturalness (Steam & Camera)\", \"reason_1\": \"The camera movement is smooth and the steam rises with natural fluid dynamics.\", \"reason_2\": \"The motion feels slightly artificial, and the steam generation appears more like a 2D overlay than volumetric gas.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior stability and texture rendering. Video 2 suffers from 'morphing' artifacts where ingredients change shape slightly over time.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Appetite Appeal (Mouthwatering Quality)\", \"reason_1\": \"The lighting and texture make the dish look genuinely delicious and freshly cooked.\", \"reason_2\": \"The artificial sheen and plastic texture reduce the appetizing quality of the dish.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"Lighting is soft and natural, highlighting the food's texture without harsh reflections.\", \"reason_2\": \"Lighting is somewhat harsh, creating high-contrast highlights that contribute to the artificial look.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The close-up framing is effective and centers the dish well.\", \"reason_2\": \"The framing is equally effective, filling the screen with the subject matter.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 succeeds in creating an appetizing, 'mouthwatering' scene through better lighting and color grading, whereas Video 2 feels artificial.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism and temporal stability. It accurately captures the organic textures of the food and the natural behavior of steam, whereas Video 2 suffers from a synthetic, plastic-like appearance and noticeable morphological warping of the ingredients.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Ingredient Completeness (Peanuts, Peppers, Chilies)", "reason_1": "Video 1 clearly displays the required peanuts, green peppers, and red chilies in a balanced ratio.", "reason_2": "Video 2 also successfully includes all mandated ingredients, with a slightly higher density of peanuts.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Glossy Sauce & Texture)", "reason_1": "The sauce in Video 1 has a realistic, viscous sheen that looks like a 'savory glaze' clinging to the food.", "reason_2": "The sauce in Video 2 appears overly thick and plastic-like, lacking the natural texture of a savory glaze.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Steam & Rice Bed)", "reason_1": "Video 1 shows the rice bed clearly and the steam is subtle and realistic.", "reason_2": "Video 2 shows the rice bed, but the steam effect is somewhat overpowering and less integrated with the scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Both videos successfully include all prompt elements, but Video 1 renders the specific attributes (glossy sauce, fluffy rice) with greater naturalism.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Ingredient Consistency)", "reason_1": "The chicken and vegetables maintain their rigid shapes perfectly throughout the camera movement.", "reason_2": "The ingredients in Video 2 exhibit noticeable 'breathing' and warping, where the shapes of the chicken and peppers shift unnaturally.", "score_1": 8, "score_2": 2}, {"name": "Texture Fidelity (Organic vs. Synthetic)", "reason_1": "The textures of the meat and vegetables look organic and edible.", "reason_2": "The food surfaces look overly smooth and synthetic, resembling a 3D render rather than real food.", "score_1": 7, "score_2": 3}, {"name": "Motion Naturalness (Steam & Camera)", "reason_1": "The camera movement is smooth and the steam rises with natural fluid dynamics.", "reason_2": "The motion feels slightly artificial, and the steam generation appears more like a 2D overlay than volumetric gas.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior stability and texture rendering. Video 2 suffers from 'morphing' artifacts where ingredients change shape slightly over time.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Appetite Appeal (Mouthwatering Quality)", "reason_1": "The lighting and texture make the dish look genuinely delicious and freshly cooked.", "reason_2": "The artificial sheen and plastic texture reduce the appetizing quality of the dish.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Color Harmony", "reason_1": "Lighting is soft and natural, highlighting the food's texture without harsh reflections.", "reason_2": "Lighting is somewhat harsh, creating high-contrast highlights that contribute to the artificial look.", "score_1": 7, "score_2": 3}, {"name": "Composition & Framing", "reason_1": "The close-up framing is effective and centers the dish well.", "reason_2": "The framing is equally effective, filling the screen with the subject matter.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 succeeds in creating an appetizing, 'mouthwatering' scene through better lighting and color grading, whereas Video 2 feels artificial.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism and temporal stability. It accurately captures the organic textures of the food and the natural behavior of steam, whereas Video 2 suffers from a synthetic, plastic-like appearance and noticeable morphological warping of the ingredients.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 60.0, "total_score_2": 30.0, "elapsed_sec": 52.283} +{"pair_id": "027_seed_42", "sample_index": 27, "seed": 42, "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_42_A lively group of Asian teenagers dressed in vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Fidelity\", \"reason_1\": \"Video 1 generates the subjects, but their clothing and features are inconsistent and lack the 'vibrant' detail requested.\", \"reason_2\": \"Video 2 accurately depicts Asian teenagers in distinct, vibrant sportswear with consistent character designs.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Logic (Table Tennis Mechanics)\", \"reason_1\": \"The action in Video 1 is nonsensical; the table warps, and the ball physics are non-existent.\", \"reason_2\": \"Video 2 depicts a logical game with a stable table, a visible net, and players holding paddles in a realistic stance.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Greenery & Lighting)\", \"reason_1\": \"Video 1 shows a generic background that lacks the specific 'lush greenery' and 'warm glow' requested.\", \"reason_2\": \"Video 2 features a detailed background with trees and natural lighting that matches the 'outdoor court' and 'warm glow' description.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately renders the specific details of the prompt, including the vibrant sportswear, the lush greenery, and the logical mechanics of table tennis. Video 1 fails to maintain the structural integrity of the game equipment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Video 1 exhibits severe warping; the table tennis table changes shape and size constantly, and the net disappears.\", \"reason_2\": \"Video 2 maintains the rigid shape of the table and the consistent volume of the subjects throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The faces in Video 1 distort heavily during movement, losing identity and human likeness.\", \"reason_2\": \"The subjects in Video 2 maintain recognizable facial features and expressions even during rapid movement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is blurry, low-resolution, and contains significant generation noise.\", \"reason_2\": \"The video is sharp, clear, and has a high-quality, photorealistic look.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Joy & Concentration)\", \"reason_1\": \"The expressions are distorted and creepy due to the low quality, failing to convey 'joy'.\", \"reason_2\": \"Video 2 clearly shows the subjects smiling, shouting, and interacting, effectively capturing the 'laughter and shouts of encouragement'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"The camera movement is jerky and disorienting, often cutting off subjects awkwardly.\", \"reason_2\": \"The camera moves smoothly, following the action and framing the group dynamics effectively.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to the heavy distortion and lack of coherence.\", \"reason_2\": \"The video has a cinematic quality with good color grading and composition.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully captures the mood of 'joy' and 'team dynamics' through clear expressions and smooth camera work, whereas Video 1 is chaotic and visually unpleasant.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every technical and aesthetic metric. It delivers a photorealistic, stable, and emotionally resonant depiction of the prompt, maintaining subject identity and object permanence (the table tennis table) throughout. Video 1 suffers from severe morphological instability, with the table and players warping significantly, and fails to capture the requested high-energy atmosphere or visual fidelity.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Fidelity", "reason_1": "Video 1 generates the subjects, but their clothing and features are inconsistent and lack the 'vibrant' detail requested.", "reason_2": "Video 2 accurately depicts Asian teenagers in distinct, vibrant sportswear with consistent character designs.", "score_1": 3, "score_2": 7}, {"name": "Action Logic (Table Tennis Mechanics)", "reason_1": "The action in Video 1 is nonsensical; the table warps, and the ball physics are non-existent.", "reason_2": "Video 2 depicts a logical game with a stable table, a visible net, and players holding paddles in a realistic stance.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Greenery & Lighting)", "reason_1": "Video 1 shows a generic background that lacks the specific 'lush greenery' and 'warm glow' requested.", "reason_2": "Video 2 features a detailed background with trees and natural lighting that matches the 'outdoor court' and 'warm glow' description.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately renders the specific details of the prompt, including the vibrant sportswear, the lush greenery, and the logical mechanics of table tennis. Video 1 fails to maintain the structural integrity of the game equipment.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Video 1 exhibits severe warping; the table tennis table changes shape and size constantly, and the net disappears.", "reason_2": "Video 2 maintains the rigid shape of the table and the consistent volume of the subjects throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Subject Identity Persistence", "reason_1": "The faces in Video 1 distort heavily during movement, losing identity and human likeness.", "reason_2": "The subjects in Video 2 maintain recognizable facial features and expressions even during rapid movement.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is blurry, low-resolution, and contains significant generation noise.", "reason_2": "The video is sharp, clear, and has a high-quality, photorealistic look.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Joy & Concentration)", "reason_1": "The expressions are distorted and creepy due to the low quality, failing to convey 'joy'.", "reason_2": "Video 2 clearly shows the subjects smiling, shouting, and interacting, effectively capturing the 'laughter and shouts of encouragement'.", "score_1": 2, "score_2": 8}, {"name": "Camera Motion & Framing", "reason_1": "The camera movement is jerky and disorienting, often cutting off subjects awkwardly.", "reason_2": "The camera moves smoothly, following the action and framing the group dynamics effectively.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to the heavy distortion and lack of coherence.", "reason_2": "The video has a cinematic quality with good color grading and composition.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully captures the mood of 'joy' and 'team dynamics' through clear expressions and smooth camera work, whereas Video 1 is chaotic and visually unpleasant.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every technical and aesthetic metric. It delivers a photorealistic, stable, and emotionally resonant depiction of the prompt, maintaining subject identity and object permanence (the table tennis table) throughout. Video 1 suffers from severe morphological instability, with the table and players warping significantly, and fails to capture the requested high-energy atmosphere or visual fidelity.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 54.916} +{"pair_id": "029_seed_930", "sample_index": 29, "seed": 930, "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_930_In a serene dimly lit studio a graceful Chinese wo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Decor)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit studio' with soft, moody lighting and minimalist decor (curtains, plant) as requested.\", \"reason_2\": \"Video 2 ignores the 'dimly lit' instruction, presenting a bright, high-key studio with a plain white wall and harsh lighting.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Gown & Hair)\", \"reason_1\": \"The subject wears a gown that resembles traditional silk with appropriate weight and flow, and the hair is long and dark, swaying naturally.\", \"reason_2\": \"The gown appears more like a modern, sheer chiffon dress rather than the implied traditional silk, and the hair movement is less distinct.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Twirls & Fluidity)\", \"reason_1\": \"The dancer performs a continuous, fluid twirl that aligns well with the prompt's request for an 'elegant routine'.\", \"reason_2\": \"The movement is disjointed and jerky, lacking the 'fluidity' and 'precision' explicitly requested in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'dimly lit studio' and the specific 'silk gown' aesthetic, whereas Video 2 presents a bright, white-walled room that contradicts the atmospheric description.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Face)\", \"reason_1\": \"The dancer's face remains consistent and recognizable throughout the rotation.\", \"reason_2\": \"The subject's face morphs significantly between frames, changing features and structure, which breaks realism.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cloth Physics & Simulation\", \"reason_1\": \"The fabric moves with realistic momentum and weight, billowing naturally as the dancer spins.\", \"reason_2\": \"The fabric movement is erratic and glitchy, often clipping through the subject or moving without logical physical cause.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability (Motion Smoothness)\", \"reason_1\": \"The video plays smoothly with consistent frame pacing.\", \"reason_2\": \"The video suffers from stuttering and jumpy transitions, making the motion feel unnatural.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable subject identity and realistic physics. Video 2 suffers from severe temporal instability, with the subject's face morphing and the motion appearing jerky.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Circling Effect)\", \"reason_1\": \"The camera effectively simulates a circling motion around the subject, enhancing the 3D feel of the dance.\", \"reason_2\": \"The camera angle is largely static or shifts awkwardly, failing to create the dynamic 'circling' effect requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Mood (Serenity & Grace)\", \"reason_1\": \"The combination of lighting, color palette, and slow motion creates the 'serene' and 'graceful' mood perfectly.\", \"reason_2\": \"The bright, clinical lighting and jerky motion destroy any sense of serenity or grace.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"The subject is well-framed, and the background elements balance the shot without distracting from the dancer.\", \"reason_2\": \"The framing is somewhat loose, and the plain background offers no compositional interest.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully executes the requested camera movement and establishes the correct emotional tone. Video 2 lacks cinematic intent and feels like a raw, unpolished generation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully adheres to the atmospheric requirements of the prompt (dimly lit, serene) and maintains high temporal stability. Video 2 fails to match the lighting description, presenting a bright, sterile environment, and suffers from significant morphological instability in the subject's face and motion.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Decor)", "reason_1": "Video 1 perfectly captures the 'dimly lit studio' with soft, moody lighting and minimalist decor (curtains, plant) as requested.", "reason_2": "Video 2 ignores the 'dimly lit' instruction, presenting a bright, high-key studio with a plain white wall and harsh lighting.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Gown & Hair)", "reason_1": "The subject wears a gown that resembles traditional silk with appropriate weight and flow, and the hair is long and dark, swaying naturally.", "reason_2": "The gown appears more like a modern, sheer chiffon dress rather than the implied traditional silk, and the hair movement is less distinct.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Twirls & Fluidity)", "reason_1": "The dancer performs a continuous, fluid twirl that aligns well with the prompt's request for an 'elegant routine'.", "reason_2": "The movement is disjointed and jerky, lacking the 'fluidity' and 'precision' explicitly requested in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'dimly lit studio' and the specific 'silk gown' aesthetic, whereas Video 2 presents a bright, white-walled room that contradicts the atmospheric description.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Face)", "reason_1": "The dancer's face remains consistent and recognizable throughout the rotation.", "reason_2": "The subject's face morphs significantly between frames, changing features and structure, which breaks realism.", "score_1": 8, "score_2": 2}, {"name": "Cloth Physics & Simulation", "reason_1": "The fabric moves with realistic momentum and weight, billowing naturally as the dancer spins.", "reason_2": "The fabric movement is erratic and glitchy, often clipping through the subject or moving without logical physical cause.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability (Motion Smoothness)", "reason_1": "The video plays smoothly with consistent frame pacing.", "reason_2": "The video suffers from stuttering and jumpy transitions, making the motion feel unnatural.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable subject identity and realistic physics. Video 2 suffers from severe temporal instability, with the subject's face morphing and the motion appearing jerky.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Circling Effect)", "reason_1": "The camera effectively simulates a circling motion around the subject, enhancing the 3D feel of the dance.", "reason_2": "The camera angle is largely static or shifts awkwardly, failing to create the dynamic 'circling' effect requested.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Mood (Serenity & Grace)", "reason_1": "The combination of lighting, color palette, and slow motion creates the 'serene' and 'graceful' mood perfectly.", "reason_2": "The bright, clinical lighting and jerky motion destroy any sense of serenity or grace.", "score_1": 9, "score_2": 1}, {"name": "Visual Composition & Framing", "reason_1": "The subject is well-framed, and the background elements balance the shot without distracting from the dancer.", "reason_2": "The framing is somewhat loose, and the plain background offers no compositional interest.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully executes the requested camera movement and establishes the correct emotional tone. Video 2 lacks cinematic intent and feels like a raw, unpolished generation.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully adheres to the atmospheric requirements of the prompt (dimly lit, serene) and maintains high temporal stability. Video 2 fails to match the lighting description, presenting a bright, sterile environment, and suffers from significant morphological instability in the subject's face and motion.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 58.601} +{"pair_id": "032_seed_310", "sample_index": 32, "seed": 310, "prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_310_A charming Korean male star dressed in a casual wh.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_310_A charming Korean male star dressed in a casual wh.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_310_A charming Korean male star dressed in a casual wh.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_310_A charming Korean male star dressed in a casual wh.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Crafting with Precision)\", \"reason_1\": \"Video 1 depicts the subject rolling the sushi with logical hand movements and clear object interaction.\", \"reason_2\": \"Video 2 fails completely; the hands merge with the food, and the 'crafting' action is a glitchy morphing sequence rather than a skillful movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Korean Star & Attire)\", \"reason_1\": \"Video 1 accurately depicts a Korean male in a white t-shirt, fitting the description well.\", \"reason_2\": \"Video 2 also accurately depicts the subject's ethnicity and attire, matching the prompt's character description.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Forest & Stream)\", \"reason_1\": \"Video 1 places the subject in a convincing forest setting with a visible stream and appropriate lighting.\", \"reason_2\": \"Video 2 also generates a high-quality forest background with the required stream and greenery.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Narrative Conclusion (Presentation & Smile)\", \"reason_1\": \"Video 1 ends with the subject holding the roll up and smiling, fulfilling the 'presents the sushi' requirement.\", \"reason_2\": \"Video 2 attempts the smile, but the presentation is marred by the object (sushi) losing its shape and the hand distorting.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific action of 'crafting' sushi with logical hand movements, whereas Video 2 fails to render the action semantically, turning it into a visual glitch.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Hands & Objects)\", \"reason_1\": \"The subject's hands and the sushi roll maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the fingers melt into the rice, and the sushi roll expands and contracts unnaturally.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Object Interaction)\", \"reason_1\": \"The interaction between the hands and the sushi follows basic physics; the roll moves as a solid object.\", \"reason_2\": \"The physics are broken; the food behaves like a liquid or a morphing texture rather than a solid culinary item.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is sharp, with clear textures on the skin, clothing, and food.\", \"reason_2\": \"While the background is sharp, the focal point (the hands/food) is blurry and distorted due to generation artifacts.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains solid object permanence and anatomical structure. Video 2 collapses under severe morphological instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is pleasant to watch, with good lighting and a coherent scene.\", \"reason_2\": \"The visual appeal is destroyed by the uncanny valley effect of the melting hands and food.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmosphere & Lighting (Sun-dappled)\", \"reason_1\": \"Successfully captures the 'sun-dappled' lighting requested in the prompt.\", \"reason_2\": \"Also captures the lighting well, with nice contrast between the subject and the forest background.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Narrative Flow (Preparation to Presentation)\", \"reason_1\": \"The sequence flows logically from rolling the sushi to showing it to the camera.\", \"reason_2\": \"The narrative is interrupted by the visual glitches, breaking the immersion of the 'culinary moment'.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 provides a coherent and pleasant viewing experience. Video 2's aesthetic value is negated by the disturbing visual artifacts in the center of the frame.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior morphological stability and physical realism. While both videos capture the setting and subject well, Video 2 suffers from severe hallucinations where the subject's hands and the sushi roll morph and melt into each other, completely breaking the realism of the 'crafting' action. Video 1 maintains distinct object boundaries and anatomical consistency throughout the sequence.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Crafting with Precision)", "reason_1": "Video 1 depicts the subject rolling the sushi with logical hand movements and clear object interaction.", "reason_2": "Video 2 fails completely; the hands merge with the food, and the 'crafting' action is a glitchy morphing sequence rather than a skillful movement.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Korean Star & Attire)", "reason_1": "Video 1 accurately depicts a Korean male in a white t-shirt, fitting the description well.", "reason_2": "Video 2 also accurately depicts the subject's ethnicity and attire, matching the prompt's character description.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Forest & Stream)", "reason_1": "Video 1 places the subject in a convincing forest setting with a visible stream and appropriate lighting.", "reason_2": "Video 2 also generates a high-quality forest background with the required stream and greenery.", "score_1": 5, "score_2": 5}, {"name": "Narrative Conclusion (Presentation & Smile)", "reason_1": "Video 1 ends with the subject holding the roll up and smiling, fulfilling the 'presents the sushi' requirement.", "reason_2": "Video 2 attempts the smile, but the presentation is marred by the object (sushi) losing its shape and the hand distorting.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific action of 'crafting' sushi with logical hand movements, whereas Video 2 fails to render the action semantically, turning it into a visual glitch.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Hands & Objects)", "reason_1": "The subject's hands and the sushi roll maintain their shape and volume consistently throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the fingers melt into the rice, and the sushi roll expands and contracts unnaturally.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Object Interaction)", "reason_1": "The interaction between the hands and the sushi follows basic physics; the roll moves as a solid object.", "reason_2": "The physics are broken; the food behaves like a liquid or a morphing texture rather than a solid culinary item.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is sharp, with clear textures on the skin, clothing, and food.", "reason_2": "While the background is sharp, the focal point (the hands/food) is blurry and distorted due to generation artifacts.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains solid object permanence and anatomical structure. Video 2 collapses under severe morphological instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is pleasant to watch, with good lighting and a coherent scene.", "reason_2": "The visual appeal is destroyed by the uncanny valley effect of the melting hands and food.", "score_1": 8, "score_2": 2}, {"name": "Atmosphere & Lighting (Sun-dappled)", "reason_1": "Successfully captures the 'sun-dappled' lighting requested in the prompt.", "reason_2": "Also captures the lighting well, with nice contrast between the subject and the forest background.", "score_1": 5, "score_2": 5}, {"name": "Narrative Flow (Preparation to Presentation)", "reason_1": "The sequence flows logically from rolling the sushi to showing it to the camera.", "reason_2": "The narrative is interrupted by the visual glitches, breaking the immersion of the 'culinary moment'.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 provides a coherent and pleasant viewing experience. Video 2's aesthetic value is negated by the disturbing visual artifacts in the center of the frame.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior morphological stability and physical realism. While both videos capture the setting and subject well, Video 2 suffers from severe hallucinations where the subject's hands and the sushi roll morph and melt into each other, completely breaking the realism of the 'crafting' action. Video 1 maintains distinct object boundaries and anatomical consistency throughout the sequence.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 30.0, "elapsed_sec": 61.459} +{"pair_id": "035_seed_42", "sample_index": 35, "seed": 42, "prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_42_A joyful Chinese family gathers in a warmly lit li.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_42_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_42_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_42_A joyful Chinese family gathers in a warmly lit li.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Exchanging Envelopes)\", \"reason_1\": \"Video 1 clearly depicts the family members holding and interacting with the red envelopes, fulfilling the core action prompt.\", \"reason_2\": \"Video 2 shows the family holding red envelopes, but the interaction is static and lacks the dynamic 'exchanging' motion described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Attire & Feast)\", \"reason_1\": \"Video 1 features the turkey and decorations, but the clothing is less distinctively 'traditional' compared to Video 2.\", \"reason_2\": \"Video 2 features a turkey and decorations, and the clothing (e.g., the man's tunic) feels slightly more aligned with the 'traditional attire' prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Atmosphere (Warmth & Lighting)\", \"reason_1\": \"Video 1 perfectly captures the 'warmly lit' and 'soft glow' description, creating a cozy, festive atmosphere.\", \"reason_2\": \"Video 2 has flatter, cooler lighting that fails to evoke the 'warmth' and 'soft glow' requested in the prompt.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 better captures the specific atmospheric and action-oriented requirements of the prompt, particularly the 'warmly lit' ambiance and the active 'exchanging' of envelopes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Magnitude & Fluidity\", \"reason_1\": \"Video 1 displays significant motion in the characters' gestures and heads, qualifying it as a video.\", \"reason_2\": \"Video 2 is functionally a still image with barely perceptible micro-movement, failing the basic criteria of dynamic video generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Face/Body)\", \"reason_1\": \"Video 1 suffers from severe distortion; faces melt and change shape unnaturally during movement.\", \"reason_2\": \"Video 2 is highly stable, but only because it lacks the movement that typically triggers such distortions.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 has a softer, slightly blurry quality with noticeable generation artifacts.\", \"reason_2\": \"Video 2 is crisp, sharp, and has high texture resolution, resembling a high-quality photograph.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Although Video 2 is visually cleaner, Video 1 wins this category by default for actually possessing 'Dynamic' qualities. Video 2 is essentially a static image, which is a critical failure in a video generation task.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Joy & Laughter)\", \"reason_1\": \"The characters in Video 1 are actively laughing and smiling, conveying the 'joyful' and 'happiness' prompt requirements vividly.\", \"reason_2\": \"The characters in Video 2 have fixed smiles that feel posed and lack the dynamic energy of 'laughter'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Lighting & Color Grading\", \"reason_1\": \"Video 1 utilizes a rich, warm color palette that enhances the festive mood.\", \"reason_2\": \"Video 2 uses standard, neutral lighting that feels clinical and less cinematic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Engagement\", \"reason_1\": \"The movement and interaction in Video 1 create a sense of a 'moment' being captured.\", \"reason_2\": \"The lack of movement in Video 2 makes it feel like a stock photo rather than a narrative scene.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 excels in conveying the emotional tone of the prompt. The lighting and expressions create a genuine sense of celebration, whereas Video 2 feels posed and artificial.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner because it successfully generates a dynamic video sequence that captures the 'joyful' and 'exchanging' actions described in the prompt. While Video 2 offers superior image sharpness and stability, it fails fundamentally as a video generation, appearing almost entirely static (resembling a still image). Video 1, despite suffering from significant morphological instability (warping faces), correctly interprets the prompt's request for motion, atmosphere, and interaction, delivering the requested festive energy.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Exchanging Envelopes)", "reason_1": "Video 1 clearly depicts the family members holding and interacting with the red envelopes, fulfilling the core action prompt.", "reason_2": "Video 2 shows the family holding red envelopes, but the interaction is static and lacks the dynamic 'exchanging' motion described.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Attire & Feast)", "reason_1": "Video 1 features the turkey and decorations, but the clothing is less distinctively 'traditional' compared to Video 2.", "reason_2": "Video 2 features a turkey and decorations, and the clothing (e.g., the man's tunic) feels slightly more aligned with the 'traditional attire' prompt.", "score_1": 4, "score_2": 6}, {"name": "Environmental Atmosphere (Warmth & Lighting)", "reason_1": "Video 1 perfectly captures the 'warmly lit' and 'soft glow' description, creating a cozy, festive atmosphere.", "reason_2": "Video 2 has flatter, cooler lighting that fails to evoke the 'warmth' and 'soft glow' requested in the prompt.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 better captures the specific atmospheric and action-oriented requirements of the prompt, particularly the 'warmly lit' ambiance and the active 'exchanging' of envelopes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Magnitude & Fluidity", "reason_1": "Video 1 displays significant motion in the characters' gestures and heads, qualifying it as a video.", "reason_2": "Video 2 is functionally a still image with barely perceptible micro-movement, failing the basic criteria of dynamic video generation.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Face/Body)", "reason_1": "Video 1 suffers from severe distortion; faces melt and change shape unnaturally during movement.", "reason_2": "Video 2 is highly stable, but only because it lacks the movement that typically triggers such distortions.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 has a softer, slightly blurry quality with noticeable generation artifacts.", "reason_2": "Video 2 is crisp, sharp, and has high texture resolution, resembling a high-quality photograph.", "score_1": 3, "score_2": 7}], "cat_reason": "Although Video 2 is visually cleaner, Video 1 wins this category by default for actually possessing 'Dynamic' qualities. Video 2 is essentially a static image, which is a critical failure in a video generation task.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Joy & Laughter)", "reason_1": "The characters in Video 1 are actively laughing and smiling, conveying the 'joyful' and 'happiness' prompt requirements vividly.", "reason_2": "The characters in Video 2 have fixed smiles that feel posed and lack the dynamic energy of 'laughter'.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Lighting & Color Grading", "reason_1": "Video 1 utilizes a rich, warm color palette that enhances the festive mood.", "reason_2": "Video 2 uses standard, neutral lighting that feels clinical and less cinematic.", "score_1": 8, "score_2": 2}, {"name": "Narrative Engagement", "reason_1": "The movement and interaction in Video 1 create a sense of a 'moment' being captured.", "reason_2": "The lack of movement in Video 2 makes it feel like a stock photo rather than a narrative scene.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 excels in conveying the emotional tone of the prompt. The lighting and expressions create a genuine sense of celebration, whereas Video 2 feels posed and artificial.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner because it successfully generates a dynamic video sequence that captures the 'joyful' and 'exchanging' actions described in the prompt. While Video 2 offers superior image sharpness and stability, it fails fundamentally as a video generation, appearing almost entirely static (resembling a still image). Video 1, despite suffering from significant morphological instability (warping faces), correctly interprets the prompt's request for motion, atmosphere, and interaction, delivering the requested festive energy.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 58.0, "total_score_2": 32.0, "elapsed_sec": 59.533} +{"pair_id": "037_seed_930", "sample_index": 37, "seed": 930, "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_930_In a serene traditional Japanese courtyard a group.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Formation & Posture\", \"reason_1\": \"Video 1 depicts the samurai standing in a disciplined, static formation as requested.\", \"reason_2\": \"Video 2 shows the subjects walking forward in a disorganized manner, violating the 'stands in formation' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Courtyard & Bonsai)\", \"reason_1\": \"Video 1 clearly renders the gravel, trees, and traditional architecture, creating the requested serene backdrop.\", \"reason_2\": \"Video 2's background is blurry and indistinct, lacking the specific details like raked gravel or bonsai trees.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Precision (Katanas)\", \"reason_1\": \"The katanas in Video 1 are held with precision and have a defined shape.\", \"reason_2\": \"The weapons in Video 2 are distorted, appearing to merge with the subjects' bodies or hands.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'standing in formation' requirement and the specific environmental details. Video 2 fails the formation constraint by having subjects walk and lacks the clarity to show the requested details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"The faces in Video 1 are coherent, human, and maintain their structure throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe facial hallucinations; the faces are melted, distorted, and lack human features.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Armor Texture & Material Realism\", \"reason_1\": \"Video 1 renders the 'layered plates' and 'gleaming' texture of the armor convincingly.\", \"reason_2\": \"The armor in Video 2 looks like smooth, low-resolution plastic with no discernible texture or material logic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 is stable with minimal flickering or morphing of objects.\", \"reason_2\": \"Video 2 exhibits significant jitter and morphing, particularly in the subjects' limbs and weapons.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and anatomical correctness. Video 2 is plagued by severe artifacts, particularly the 'melting' faces and unstable geometry.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Solemnity)\", \"reason_1\": \"The lighting and static poses in Video 1 successfully evoke the requested 'solemnity' and 'discipline'.\", \"reason_2\": \"The chaotic movement and distorted visuals in Video 2 create an uncanny and unsettling mood rather than a solemn one.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion (Slow Pan)\", \"reason_1\": \"Video 1 executes a slow, controlled pan that allows the viewer to appreciate the details.\", \"reason_2\": \"Video 2 uses a shaky, handheld-style motion that feels accidental rather than cinematic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Composition\", \"reason_1\": \"The framing in Video 1 is balanced, showcasing the group and the environment effectively.\", \"reason_2\": \"Video 2 has awkward framing where subjects drift in and out of focus or are cut off by the frame edges.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the solemn, cinematic mood requested by the prompt. Video 2 feels chaotic and lacks the intended aesthetic focus.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in almost every metric. It strictly adheres to the prompt's instruction for a static formation, delivers high-fidelity textures for the armor, and maintains anatomical integrity for the faces. Video 2 suffers from severe hallucinations (distorted faces), incorrect motion (walking instead of standing), and lower visual resolution.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Formation & Posture", "reason_1": "Video 1 depicts the samurai standing in a disciplined, static formation as requested.", "reason_2": "Video 2 shows the subjects walking forward in a disorganized manner, violating the 'stands in formation' instruction.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Courtyard & Bonsai)", "reason_1": "Video 1 clearly renders the gravel, trees, and traditional architecture, creating the requested serene backdrop.", "reason_2": "Video 2's background is blurry and indistinct, lacking the specific details like raked gravel or bonsai trees.", "score_1": 8, "score_2": 2}, {"name": "Object Precision (Katanas)", "reason_1": "The katanas in Video 1 are held with precision and have a defined shape.", "reason_2": "The weapons in Video 2 are distorted, appearing to merge with the subjects' bodies or hands.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'standing in formation' requirement and the specific environmental details. Video 2 fails the formation constraint by having subjects walk and lacks the clarity to show the requested details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "The faces in Video 1 are coherent, human, and maintain their structure throughout the clip.", "reason_2": "Video 2 suffers from severe facial hallucinations; the faces are melted, distorted, and lack human features.", "score_1": 9, "score_2": 1}, {"name": "Armor Texture & Material Realism", "reason_1": "Video 1 renders the 'layered plates' and 'gleaming' texture of the armor convincingly.", "reason_2": "The armor in Video 2 looks like smooth, low-resolution plastic with no discernible texture or material logic.", "score_1": 8, "score_2": 2}, {"name": "Temporal Stability", "reason_1": "Video 1 is stable with minimal flickering or morphing of objects.", "reason_2": "Video 2 exhibits significant jitter and morphing, particularly in the subjects' limbs and weapons.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and anatomical correctness. Video 2 is plagued by severe artifacts, particularly the 'melting' faces and unstable geometry.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Solemnity)", "reason_1": "The lighting and static poses in Video 1 successfully evoke the requested 'solemnity' and 'discipline'.", "reason_2": "The chaotic movement and distorted visuals in Video 2 create an uncanny and unsettling mood rather than a solemn one.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion (Slow Pan)", "reason_1": "Video 1 executes a slow, controlled pan that allows the viewer to appreciate the details.", "reason_2": "Video 2 uses a shaky, handheld-style motion that feels accidental rather than cinematic.", "score_1": 8, "score_2": 2}, {"name": "Visual Composition", "reason_1": "The framing in Video 1 is balanced, showcasing the group and the environment effectively.", "reason_2": "Video 2 has awkward framing where subjects drift in and out of focus or are cut off by the frame edges.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the solemn, cinematic mood requested by the prompt. Video 2 feels chaotic and lacks the intended aesthetic focus.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in almost every metric. It strictly adheres to the prompt's instruction for a static formation, delivers high-fidelity textures for the armor, and maintains anatomical integrity for the faces. Video 2 suffers from severe hallucinations (distorted faces), incorrect motion (walking instead of standing), and lower visual resolution.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 54.447} +{"pair_id": "040_seed_310", "sample_index": 40, "seed": 310, "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_310_A Native American man sprints across a vast desert.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_310_A Native American man sprints across a vast desert.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_310_A Native American man sprints across a vast desert.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_310_A Native American man sprints across a vast desert.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 generates a figure in regalia, but the details are muddy and the 'intricate beadwork' is lost in blur.\", \"reason_2\": \"Video 2 clearly renders the headdress, feathers, and flowing regalia with distinct textures and vibrant colors as requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Mesas & Cacti)\", \"reason_1\": \"Video 1 features a generic desert background with mesas but lacks the specific cacti mentioned in the prompt.\", \"reason_2\": \"Video 2 explicitly includes cacti in the foreground and detailed mesas in the background, aligning perfectly with the prompt's setting.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Sprinting vs. Gliding)\", \"reason_1\": \"The subject in Video 1 appears to be sliding or floating rather than taking 'powerful strides,' failing the specific motion description.\", \"reason_2\": \"Video 2 depicts a recognizable sprinting motion with leg movement that suggests power and speed, closer to the prompt's intent.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the specific details of the prompt, including the cacti and the distinct features of the regalia, whereas Video 1 provides a generic and blurry approximation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe anatomical failure; the subject's legs frequently disappear, merge, or distort into unrecognizable shapes.\", \"reason_2\": \"Video 2 maintains a consistent human form throughout the clip, with limbs remaining distinct and anatomically logical.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is heavily pixelated and blurry, lacking definition in both the subject and the environment.\", \"reason_2\": \"The image is crisp, with sharp edges on the feathers and clear separation between the subject and the background.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion is jerky and unnatural, with the subject seeming to glitch through the terrain.\", \"reason_2\": \"The movement is fluid and continuous, effectively conveying the momentum of a sprint.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains a stable image with consistent subject identity, while Video 1 is plagued by severe artifacts and anatomical hallucinations.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Framing & Tracking\", \"reason_1\": \"The framing is somewhat static and fails to emphasize the speed of the runner effectively.\", \"reason_2\": \"The camera tracks the subject smoothly from the side, creating a dynamic sense of speed and a cinematic look.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting & Atmosphere (Golden Hue)\", \"reason_1\": \"Video 1 actually captures the 'golden hue' lighting very well, creating a warm, atmospheric desert sun effect.\", \"reason_2\": \"Video 2 has good lighting, but it is slightly cooler and less intensely 'golden' than Video 1, though still aesthetically pleasing.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual experience is marred by low resolution and glitchy artifacts, making it unpleasant to watch.\", \"reason_2\": \"The video is visually engaging, with vibrant colors and a clear, professional presentation.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a cinematic tracking shot that enhances the feeling of speed, whereas Video 1 feels like a low-quality, static generation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Dynamic Regalia Physics\", \"dims\": [{\"name\": \"Feather & Fabric Flow\", \"reason_1\": \"The regalia moves as a single, morphing blob rather than individual feathers or fabric reacting to wind.\", \"reason_2\": \"The feathers and skirt elements flutter and react to the wind and motion in a physically plausible way.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Ground Interaction (Moccasins/Sand)\", \"reason_1\": \"The subject floats above the sand with no clear contact points, failing the 'moccasins barely touch' description.\", \"reason_2\": \"While not perfectly 'gliding,' the feet make contact with the ground in a way that suggests running, respecting the physical space.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Wind Simulation\", \"reason_1\": \"There is no clear sense of wind direction or interaction with the subject.\", \"reason_2\": \"The movement of the headdress and feathers clearly suggests a strong wind accompanying the sprint.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"This personalized category evaluates the specific prompt requirement of 'regalia flowing' and 'feathers fluttering,' where Video 2 excels.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is significantly superior in terms of visual fidelity, anatomical consistency, and semantic accuracy. While Video 1 captures the color palette, it suffers from severe morphological breakdowns where the subject's legs and regalia merge into a blur. Video 2 successfully renders the intricate details of the regalia, the specific environmental elements (cacti, mesas), and maintains a coherent human form throughout the sprint.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 generates a figure in regalia, but the details are muddy and the 'intricate beadwork' is lost in blur.", "reason_2": "Video 2 clearly renders the headdress, feathers, and flowing regalia with distinct textures and vibrant colors as requested.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Mesas & Cacti)", "reason_1": "Video 1 features a generic desert background with mesas but lacks the specific cacti mentioned in the prompt.", "reason_2": "Video 2 explicitly includes cacti in the foreground and detailed mesas in the background, aligning perfectly with the prompt's setting.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Sprinting vs. Gliding)", "reason_1": "The subject in Video 1 appears to be sliding or floating rather than taking 'powerful strides,' failing the specific motion description.", "reason_2": "Video 2 depicts a recognizable sprinting motion with leg movement that suggests power and speed, closer to the prompt's intent.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the specific details of the prompt, including the cacti and the distinct features of the regalia, whereas Video 1 provides a generic and blurry approximation.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe anatomical failure; the subject's legs frequently disappear, merge, or distort into unrecognizable shapes.", "reason_2": "Video 2 maintains a consistent human form throughout the clip, with limbs remaining distinct and anatomically logical.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is heavily pixelated and blurry, lacking definition in both the subject and the environment.", "reason_2": "The image is crisp, with sharp edges on the feathers and clear separation between the subject and the background.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "The motion is jerky and unnatural, with the subject seeming to glitch through the terrain.", "reason_2": "The movement is fluid and continuous, effectively conveying the momentum of a sprint.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains a stable image with consistent subject identity, while Video 1 is plagued by severe artifacts and anatomical hallucinations.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Framing & Tracking", "reason_1": "The framing is somewhat static and fails to emphasize the speed of the runner effectively.", "reason_2": "The camera tracks the subject smoothly from the side, creating a dynamic sense of speed and a cinematic look.", "score_1": 3, "score_2": 7}, {"name": "Lighting & Atmosphere (Golden Hue)", "reason_1": "Video 1 actually captures the 'golden hue' lighting very well, creating a warm, atmospheric desert sun effect.", "reason_2": "Video 2 has good lighting, but it is slightly cooler and less intensely 'golden' than Video 1, though still aesthetically pleasing.", "score_1": 6, "score_2": 4}, {"name": "Overall Visual Appeal", "reason_1": "The visual experience is marred by low resolution and glitchy artifacts, making it unpleasant to watch.", "reason_2": "The video is visually engaging, with vibrant colors and a clear, professional presentation.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a cinematic tracking shot that enhances the feeling of speed, whereas Video 1 feels like a low-quality, static generation.", "cat_winner": "Video 2"}, {"name": "D. Dynamic Regalia Physics", "dims": [{"name": "Feather & Fabric Flow", "reason_1": "The regalia moves as a single, morphing blob rather than individual feathers or fabric reacting to wind.", "reason_2": "The feathers and skirt elements flutter and react to the wind and motion in a physically plausible way.", "score_1": 2, "score_2": 8}, {"name": "Ground Interaction (Moccasins/Sand)", "reason_1": "The subject floats above the sand with no clear contact points, failing the 'moccasins barely touch' description.", "reason_2": "While not perfectly 'gliding,' the feet make contact with the ground in a way that suggests running, respecting the physical space.", "score_1": 2, "score_2": 8}, {"name": "Wind Simulation", "reason_1": "There is no clear sense of wind direction or interaction with the subject.", "reason_2": "The movement of the headdress and feathers clearly suggests a strong wind accompanying the sprint.", "score_1": 3, "score_2": 7}], "cat_reason": "This personalized category evaluates the specific prompt requirement of 'regalia flowing' and 'feathers fluttering,' where Video 2 excels.", "cat_winner": "Video 2"}], "reason": "Video 2 is significantly superior in terms of visual fidelity, anatomical consistency, and semantic accuracy. While Video 1 captures the color palette, it suffers from severe morphological breakdowns where the subject's legs and regalia merge into a blur. Video 2 successfully renders the intricate details of the regalia, the specific environmental elements (cacti, mesas), and maintains a coherent human form throughout the sprint.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 33.0, "total_score_2": 87.0, "elapsed_sec": 70.893} +{"pair_id": "043_seed_42", "sample_index": 43, "seed": 42, "prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_42_A striking close-up reveals an African woman with.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_42_A striking close-up reveals an African woman with.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_42_A striking close-up reveals an African woman with.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_42_A striking close-up reveals an African woman with.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Framing Precision (Striking Close-up)\", \"reason_1\": \"Video 1 provides a clear, centered close-up of the face, perfectly matching the prompt's instruction.\", \"reason_2\": \"Video 2 utilizes an awkward side-angle crop that cuts off the top of the head and the chin, failing to deliver a proper 'close-up' of the subject.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Beads & Braids)\", \"reason_1\": \"The beads and braids in Video 1 are distinct, colorful, and appear 'meticulously crafted' as requested.\", \"reason_2\": \"The hair details in Video 2 are blurry and indistinct; the beads are barely recognizable blobs.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression & Mood (Serene/Grace)\", \"reason_1\": \"The subject in Video 1 maintains a calm, serene gaze that aligns well with the prompt's emotional tone.\", \"reason_2\": \"The subject in Video 2 is smiling and talking, which deviates from the requested 'serene expression' and 'grace'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'striking close-up' and the specific details of the braids and beads. Video 2 fails the framing requirement and lacks the definition needed to show 'meticulous craftsmanship'.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 is sharp, showing the texture of the skin and the fabric clearly.\", \"reason_2\": \"Video 2 is extremely soft and blurry, lacking any definition in the textures of the clothing or hair.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Face & Features)\", \"reason_1\": \"The facial features in Video 1 remain consistent and solid throughout the clip.\", \"reason_2\": \"Video 2 exhibits significant warping and morphing of the facial features and neck area during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Sheen Rendering\", \"reason_1\": \"Video 1 successfully captures the 'subtle sheen' on the skin and hair mentioned in the prompt.\", \"reason_2\": \"The lighting in Video 2 is flat and dull, failing to highlight the artistry or textures.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high resolution and stability. Video 2 is plagued by blurriness, low resolution, and morphological instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Subject Framing\", \"reason_1\": \"The composition in Video 1 is balanced and aesthetically pleasing, focusing attention on the subject's heritage.\", \"reason_2\": \"The framing in Video 2 is poor, with the subject drifting out of focus and key elements (eyes, forehead) cut off.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Vibrancy & Harmony\", \"reason_1\": \"Video 1 displays the 'kaleidoscope of patterns' with rich, saturated colors that pop.\", \"reason_2\": \"The colors in Video 2 are washed out and muddy, lacking the vibrancy described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Aesthetic Appeal\", \"reason_1\": \"Video 1 looks like a professional portrait video.\", \"reason_2\": \"Video 2 looks like a low-quality, discarded generation.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 presents a cohesive, aesthetically pleasing portrait that feels like a 'timeless cultural legacy'. Video 2 lacks artistic merit due to poor composition and quality.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every regard, offering a high-definition, stable, and aesthetically striking interpretation of the prompt. It captures the intricate details of the braids and beads with excellent clarity and maintains the requested serene expression. Video 2 suffers from severe quality issues, including blurriness, awkward framing that cuts off the subject's face, and significant morphological instability.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Framing Precision (Striking Close-up)", "reason_1": "Video 1 provides a clear, centered close-up of the face, perfectly matching the prompt's instruction.", "reason_2": "Video 2 utilizes an awkward side-angle crop that cuts off the top of the head and the chin, failing to deliver a proper 'close-up' of the subject.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Beads & Braids)", "reason_1": "The beads and braids in Video 1 are distinct, colorful, and appear 'meticulously crafted' as requested.", "reason_2": "The hair details in Video 2 are blurry and indistinct; the beads are barely recognizable blobs.", "score_1": 8, "score_2": 2}, {"name": "Expression & Mood (Serene/Grace)", "reason_1": "The subject in Video 1 maintains a calm, serene gaze that aligns well with the prompt's emotional tone.", "reason_2": "The subject in Video 2 is smiling and talking, which deviates from the requested 'serene expression' and 'grace'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'striking close-up' and the specific details of the braids and beads. Video 2 fails the framing requirement and lacks the definition needed to show 'meticulous craftsmanship'.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 is sharp, showing the texture of the skin and the fabric clearly.", "reason_2": "Video 2 is extremely soft and blurry, lacking any definition in the textures of the clothing or hair.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Face & Features)", "reason_1": "The facial features in Video 1 remain consistent and solid throughout the clip.", "reason_2": "Video 2 exhibits significant warping and morphing of the facial features and neck area during movement.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Sheen Rendering", "reason_1": "Video 1 successfully captures the 'subtle sheen' on the skin and hair mentioned in the prompt.", "reason_2": "The lighting in Video 2 is flat and dull, failing to highlight the artistry or textures.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high resolution and stability. Video 2 is plagued by blurriness, low resolution, and morphological instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Subject Framing", "reason_1": "The composition in Video 1 is balanced and aesthetically pleasing, focusing attention on the subject's heritage.", "reason_2": "The framing in Video 2 is poor, with the subject drifting out of focus and key elements (eyes, forehead) cut off.", "score_1": 9, "score_2": 1}, {"name": "Color Vibrancy & Harmony", "reason_1": "Video 1 displays the 'kaleidoscope of patterns' with rich, saturated colors that pop.", "reason_2": "The colors in Video 2 are washed out and muddy, lacking the vibrancy described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Overall Aesthetic Appeal", "reason_1": "Video 1 looks like a professional portrait video.", "reason_2": "Video 2 looks like a low-quality, discarded generation.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 presents a cohesive, aesthetically pleasing portrait that feels like a 'timeless cultural legacy'. Video 2 lacks artistic merit due to poor composition and quality.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every regard, offering a high-definition, stable, and aesthetically striking interpretation of the prompt. It captures the intricate details of the braids and beads with excellent clarity and maintains the requested serene expression. Video 2 suffers from severe quality issues, including blurriness, awkward framing that cuts off the subject's face, and significant morphological instability.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 56.626} +{"pair_id": "045_seed_930", "sample_index": 45, "seed": 930, "prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_930_In a bustling city square amidst the vibrant energ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Eye Color & Hair)\", \"reason_1\": \"Video 1 correctly renders the man with dark, brownish eyes as requested. The woman's hair is also consistent with the prompt.\", \"reason_2\": \"Video 2 fails significantly on the specific instruction for 'deep shade of brown' eyes, rendering the man with unnatural, glowing green/hazel eyes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Nuance (Curiosity & Warmth)\", \"reason_1\": \"The man's expression in Video 1 is intense and focused, aligning well with 'curiosity and warmth'.\", \"reason_2\": \"The man's expression in Video 2 is marred by the unnatural eye color, making him look more alien or intense rather than warm.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Bustling Square)\", \"reason_1\": \"Video 1 successfully depicts a blurred background with people moving, suggesting a 'bustling' square.\", \"reason_2\": \"Video 2 also successfully renders the background context with appropriate depth of field and crowd suggestions.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres much closer to the specific physical attributes requested, particularly the man's eye color, which is a key focal point of the prompt.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Plausibility (Eyes & Face)\", \"reason_1\": \"The facial features in Video 1 are anatomically correct and realistic.\", \"reason_2\": \"Video 2 suffers from a severe hallucination artifact where the man's irises are glowing and unnaturally colored, breaking realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 maintains high definition on skin textures and hair strands.\", \"reason_2\": \"Video 2 is also high definition, but the skin texture on the man looks slightly more plastic/waxy compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The subtle head movements and blinking in Video 1 feel organic.\", \"reason_2\": \"The motion in Video 2 is acceptable, but the static, glowing nature of the eyes makes the head movement feel slightly stiff.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 maintains a higher level of photorealism. Video 2 is heavily penalized for the anatomical artifact regarding the man's eyes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Connection\", \"reason_1\": \"The gaze in Video 1 feels intimate and human, effectively conveying the 'silent conversation'.\", \"reason_2\": \"The connection in Video 2 is disrupted by the distraction of the man's unnatural eyes, failing to convey 'warmth'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Atmosphere (Golden Glow)\", \"reason_1\": \"Video 1 captures the 'golden afternoon light' effectively on the subjects' faces.\", \"reason_2\": \"Video 2 also utilizes the lighting well, creating a similar atmospheric glow.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing focuses well on the faces, adhering to the 'high definition' focus requirement.\", \"reason_2\": \"The composition is nearly identical to Video 1 and equally effective in framing the subjects.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 successfully conveys the emotional connection requested. The aesthetic flaw in Video 2 (the eyes) breaks the immersion and mood.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner primarily due to superior semantic accuracy regarding the specific physical attributes requested in the prompt. The prompt explicitly calls for the man's eyes to be a 'deep shade of brown' conveying 'warmth'. Video 1 renders this correctly, whereas Video 2 generates unnatural, glowing green/hazel eyes that break the realism and contradict the prompt. Video 1 also maintains better anatomical plausibility and a more natural emotional connection between the subjects.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Eye Color & Hair)", "reason_1": "Video 1 correctly renders the man with dark, brownish eyes as requested. The woman's hair is also consistent with the prompt.", "reason_2": "Video 2 fails significantly on the specific instruction for 'deep shade of brown' eyes, rendering the man with unnatural, glowing green/hazel eyes.", "score_1": 8, "score_2": 2}, {"name": "Expression Nuance (Curiosity & Warmth)", "reason_1": "The man's expression in Video 1 is intense and focused, aligning well with 'curiosity and warmth'.", "reason_2": "The man's expression in Video 2 is marred by the unnatural eye color, making him look more alien or intense rather than warm.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Bustling Square)", "reason_1": "Video 1 successfully depicts a blurred background with people moving, suggesting a 'bustling' square.", "reason_2": "Video 2 also successfully renders the background context with appropriate depth of field and crowd suggestions.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres much closer to the specific physical attributes requested, particularly the man's eye color, which is a key focal point of the prompt.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Plausibility (Eyes & Face)", "reason_1": "The facial features in Video 1 are anatomically correct and realistic.", "reason_2": "Video 2 suffers from a severe hallucination artifact where the man's irises are glowing and unnaturally colored, breaking realism.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 maintains high definition on skin textures and hair strands.", "reason_2": "Video 2 is also high definition, but the skin texture on the man looks slightly more plastic/waxy compared to Video 1.", "score_1": 6, "score_2": 4}, {"name": "Motion Naturalness", "reason_1": "The subtle head movements and blinking in Video 1 feel organic.", "reason_2": "The motion in Video 2 is acceptable, but the static, glowing nature of the eyes makes the head movement feel slightly stiff.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 maintains a higher level of photorealism. Video 2 is heavily penalized for the anatomical artifact regarding the man's eyes.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Connection", "reason_1": "The gaze in Video 1 feels intimate and human, effectively conveying the 'silent conversation'.", "reason_2": "The connection in Video 2 is disrupted by the distraction of the man's unnatural eyes, failing to convey 'warmth'.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Atmosphere (Golden Glow)", "reason_1": "Video 1 captures the 'golden afternoon light' effectively on the subjects' faces.", "reason_2": "Video 2 also utilizes the lighting well, creating a similar atmospheric glow.", "score_1": 5, "score_2": 5}, {"name": "Composition & Framing", "reason_1": "The framing focuses well on the faces, adhering to the 'high definition' focus requirement.", "reason_2": "The composition is nearly identical to Video 1 and equally effective in framing the subjects.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 successfully conveys the emotional connection requested. The aesthetic flaw in Video 2 (the eyes) breaks the immersion and mood.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner primarily due to superior semantic accuracy regarding the specific physical attributes requested in the prompt. The prompt explicitly calls for the man's eyes to be a 'deep shade of brown' conveying 'warmth'. Video 1 renders this correctly, whereas Video 2 generates unnatural, glowing green/hazel eyes that break the realism and contradict the prompt. Video 1 also maintains better anatomical plausibility and a more natural emotional connection between the subjects.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 59.0, "total_score_2": 31.0, "elapsed_sec": 56.731} +{"pair_id": "048_seed_310", "sample_index": 48, "seed": 310, "prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_310_Amidst a nighttime deluge a solitary figure stride.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_310_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_310_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_310_Amidst a nighttime deluge a solitary figure stride.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Hair & Face)\", \"reason_1\": \"Video 1 perfectly renders the 'wet hair plastered against their forehead' and the 'face set with determination' as requested.\", \"reason_2\": \"Video 2 completely fails this instruction; the subject wears a hood that obscures the hair, and the face is distorted and lacks the requested expression.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Street & Lighting)\", \"reason_1\": \"Video 1 depicts a clear, deserted street with realistic streetlights and puddles, matching the setting description.\", \"reason_2\": \"Video 2's background is vague and cluttered, lacking the clear 'deserted street' depth and specific lighting interactions described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action & Attire Logic\", \"reason_1\": \"The figure in Video 1 strides with purpose, and the coat appears appropriately drenched and heavy.\", \"reason_2\": \"The figure in Video 2 moves stiffly, and the attire (a hooded jacket rather than a trench coat) deviates slightly from the prompt's implication of a classic trench coat.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately captures the specific physical attributes requested, particularly the hair and facial expression, whereas Video 2 obscures these key elements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Anatomy)\", \"reason_1\": \"The subject's face remains consistent, human, and anatomically correct throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe facial hallucination; the mouth and jaw area morph unnaturally, creating a disturbing, non-human appearance.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Hydro-Physics & Rain Interaction\", \"reason_1\": \"Raindrops interact realistically with the environment and the subject's skin.\", \"reason_2\": \"The rain in Video 2 behaves unnaturally, appearing to splash outwards from the hood in a way that defies gravity and logic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Textures of the wet coat and skin are sharp and realistic.\", \"reason_2\": \"The image is softer, with muddy textures and significant digital noise around the rain effects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and realism, while Video 2 suffers from critical hallucinations and physics failures.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Resilience vs. Distortion)\", \"reason_1\": \"The video successfully conveys the requested mood of resilience and solitude through the character's steady gaze.\", \"reason_2\": \"The mood is ruined by the grotesque facial artifacts, which evoke horror rather than resilience.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition & Focus\", \"reason_1\": \"The framing is balanced, keeping the subject central while allowing the environment to breathe.\", \"reason_2\": \"The framing is awkward, and the camera movement feels less intentional and more random.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"The lighting creates a convincing 'dim glow' and 'shimmering path' on the wet ground.\", \"reason_2\": \"The lighting is flat and lacks the dynamic contrast expected from a rainy night scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a cinematic, moody shot that aligns with the prompt's emotional tone, while Video 2 is visually jarring due to artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It faithfully executes the specific details of the prompt, such as the 'wet hair plastered against the forehead' and the 'determined' facial expression, while maintaining high photorealism. Video 2 fails significantly in semantic alignment by obscuring the face with a hood (contradicting the hair description) and suffers from severe morphological instability, where the subject's face distorts into unnatural shapes.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Hair & Face)", "reason_1": "Video 1 perfectly renders the 'wet hair plastered against their forehead' and the 'face set with determination' as requested.", "reason_2": "Video 2 completely fails this instruction; the subject wears a hood that obscures the hair, and the face is distorted and lacks the requested expression.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Street & Lighting)", "reason_1": "Video 1 depicts a clear, deserted street with realistic streetlights and puddles, matching the setting description.", "reason_2": "Video 2's background is vague and cluttered, lacking the clear 'deserted street' depth and specific lighting interactions described.", "score_1": 8, "score_2": 2}, {"name": "Action & Attire Logic", "reason_1": "The figure in Video 1 strides with purpose, and the coat appears appropriately drenched and heavy.", "reason_2": "The figure in Video 2 moves stiffly, and the attire (a hooded jacket rather than a trench coat) deviates slightly from the prompt's implication of a classic trench coat.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately captures the specific physical attributes requested, particularly the hair and facial expression, whereas Video 2 obscures these key elements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Anatomy)", "reason_1": "The subject's face remains consistent, human, and anatomically correct throughout the clip.", "reason_2": "Video 2 exhibits severe facial hallucination; the mouth and jaw area morph unnaturally, creating a disturbing, non-human appearance.", "score_1": 9, "score_2": 1}, {"name": "Hydro-Physics & Rain Interaction", "reason_1": "Raindrops interact realistically with the environment and the subject's skin.", "reason_2": "The rain in Video 2 behaves unnaturally, appearing to splash outwards from the hood in a way that defies gravity and logic.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture", "reason_1": "Textures of the wet coat and skin are sharp and realistic.", "reason_2": "The image is softer, with muddy textures and significant digital noise around the rain effects.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and realism, while Video 2 suffers from critical hallucinations and physics failures.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Resilience vs. Distortion)", "reason_1": "The video successfully conveys the requested mood of resilience and solitude through the character's steady gaze.", "reason_2": "The mood is ruined by the grotesque facial artifacts, which evoke horror rather than resilience.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition & Focus", "reason_1": "The framing is balanced, keeping the subject central while allowing the environment to breathe.", "reason_2": "The framing is awkward, and the camera movement feels less intentional and more random.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Atmosphere", "reason_1": "The lighting creates a convincing 'dim glow' and 'shimmering path' on the wet ground.", "reason_2": "The lighting is flat and lacks the dynamic contrast expected from a rainy night scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a cinematic, moody shot that aligns with the prompt's emotional tone, while Video 2 is visually jarring due to artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It faithfully executes the specific details of the prompt, such as the 'wet hair plastered against the forehead' and the 'determined' facial expression, while maintaining high photorealism. Video 2 fails significantly in semantic alignment by obscuring the face with a hood (contradicting the hair description) and suffers from severe morphological instability, where the subject's face distorts into unnatural shapes.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 56.795} +{"pair_id": "051_seed_42", "sample_index": 51, "seed": 42, "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_42_In the golden glow of sunset a young womans face i.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics (Young Woman vs. Child)\", \"reason_1\": \"Video 1 correctly depicts a 'young woman' as requested.\", \"reason_2\": \"Video 2 depicts a young child (approx. 8-10 years old), which contradicts the prompt's explicit instruction for a 'young woman'.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Expression Specificity (Lip Tremble & Emotion)\", \"reason_1\": \"Video 1 captures the 'subtle tremble' of the lips and the 'deep well of emotion' effectively.\", \"reason_2\": \"Video 2 shows a static expression with a slight smile, completely missing the 'trembling lips' and 'storm within' described.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Lighting (Golden Sunset)\", \"reason_1\": \"Video 1 features strong, warm, directional lighting that mimics a 'golden glow' of sunset.\", \"reason_2\": \"Video 2 has flat, neutral lighting that lacks the specific warm, golden sunset atmosphere requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement (Gentle Zoom)\", \"reason_1\": \"Video 1 executes a slow, gentle push-in that enhances the intimacy of the shot.\", \"reason_2\": \"Video 2 is largely static with negligible camera movement.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 aligns almost perfectly with the prompt's subject and action descriptions. Video 2 fails the fundamental subject requirement (age) and the specific emotional cues.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Micro-Detail\", \"reason_1\": \"Video 1 renders high-fidelity skin texture, including pores and the wetness of tears, creating a photorealistic look.\", \"reason_2\": \"Video 2 has a smoother, more 'plastic' appearance typical of lower-fidelity generation, lacking realistic skin imperfections.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Fluid Dynamics (Tear Realism)\", \"reason_1\": \"The tears in Video 1 have realistic viscosity, reflection, and flow down the cheek naturally.\", \"reason_2\": \"The tears in Video 2 appear somewhat painted on or static, lacking dynamic interaction with the skin surface.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Facial Muscle Dynamics\", \"reason_1\": \"Video 1 shows complex micro-movements in the brow and mouth that feel organic.\", \"reason_2\": \"Video 2 is very stiff, with almost no movement in the facial muscles other than blinking.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering and fluid dynamics, particularly in the skin and tears. Video 2 appears more artificial and static.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Vulnerability)\", \"reason_1\": \"Video 1 powerfully conveys the 'poignant moment of vulnerability' through the subject's gaze and expression.\", \"reason_2\": \"Video 2 fails to evoke the requested emotion, presenting a neutral/pleasant expression instead of a sad one.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Cinematic Lighting & Contrast\", \"reason_1\": \"Video 1 utilizes high-contrast lighting to create depth and drama, fitting the 'intricate play of light and shadow' description.\", \"reason_2\": \"Video 2 uses flat, even lighting that results in a less cinematic, more stock-photo aesthetic.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Focus & Composition\", \"reason_1\": \"The framing in Video 1 feels intentional and cinematic, drawing the eye to the emotional center.\", \"reason_2\": \"The composition in Video 2 is standard but lacks the dramatic intent required by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the poignant, cinematic mood requested. Video 2 lacks emotional weight and cinematic lighting.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it accurately depicts the requested subject (a young woman) and captures the specific emotional nuance (trembling lips, deep emotion) and lighting (golden sunset) described in the prompt. Video 2 fails significantly on semantic alignment by depicting a young child instead of a woman and lacking the requested emotional intensity and specific lighting atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics (Young Woman vs. Child)", "reason_1": "Video 1 correctly depicts a 'young woman' as requested.", "reason_2": "Video 2 depicts a young child (approx. 8-10 years old), which contradicts the prompt's explicit instruction for a 'young woman'.", "score_1": 10, "score_2": 0}, {"name": "Expression Specificity (Lip Tremble & Emotion)", "reason_1": "Video 1 captures the 'subtle tremble' of the lips and the 'deep well of emotion' effectively.", "reason_2": "Video 2 shows a static expression with a slight smile, completely missing the 'trembling lips' and 'storm within' described.", "score_1": 9, "score_2": 1}, {"name": "Environmental Lighting (Golden Sunset)", "reason_1": "Video 1 features strong, warm, directional lighting that mimics a 'golden glow' of sunset.", "reason_2": "Video 2 has flat, neutral lighting that lacks the specific warm, golden sunset atmosphere requested.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement (Gentle Zoom)", "reason_1": "Video 1 executes a slow, gentle push-in that enhances the intimacy of the shot.", "reason_2": "Video 2 is largely static with negligible camera movement.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 aligns almost perfectly with the prompt's subject and action descriptions. Video 2 fails the fundamental subject requirement (age) and the specific emotional cues.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Micro-Detail", "reason_1": "Video 1 renders high-fidelity skin texture, including pores and the wetness of tears, creating a photorealistic look.", "reason_2": "Video 2 has a smoother, more 'plastic' appearance typical of lower-fidelity generation, lacking realistic skin imperfections.", "score_1": 9, "score_2": 1}, {"name": "Fluid Dynamics (Tear Realism)", "reason_1": "The tears in Video 1 have realistic viscosity, reflection, and flow down the cheek naturally.", "reason_2": "The tears in Video 2 appear somewhat painted on or static, lacking dynamic interaction with the skin surface.", "score_1": 8, "score_2": 2}, {"name": "Facial Muscle Dynamics", "reason_1": "Video 1 shows complex micro-movements in the brow and mouth that feel organic.", "reason_2": "Video 2 is very stiff, with almost no movement in the facial muscles other than blinking.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior texture rendering and fluid dynamics, particularly in the skin and tears. Video 2 appears more artificial and static.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Vulnerability)", "reason_1": "Video 1 powerfully conveys the 'poignant moment of vulnerability' through the subject's gaze and expression.", "reason_2": "Video 2 fails to evoke the requested emotion, presenting a neutral/pleasant expression instead of a sad one.", "score_1": 10, "score_2": 0}, {"name": "Cinematic Lighting & Contrast", "reason_1": "Video 1 utilizes high-contrast lighting to create depth and drama, fitting the 'intricate play of light and shadow' description.", "reason_2": "Video 2 uses flat, even lighting that results in a less cinematic, more stock-photo aesthetic.", "score_1": 9, "score_2": 1}, {"name": "Focus & Composition", "reason_1": "The framing in Video 1 feels intentional and cinematic, drawing the eye to the emotional center.", "reason_2": "The composition in Video 2 is standard but lacks the dramatic intent required by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the poignant, cinematic mood requested. Video 2 lacks emotional weight and cinematic lighting.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it accurately depicts the requested subject (a young woman) and captures the specific emotional nuance (trembling lips, deep emotion) and lighting (golden sunset) described in the prompt. Video 2 fails significantly on semantic alignment by depicting a young child instead of a woman and lacking the requested emotional intensity and specific lighting atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 87.0, "total_score_2": 13.0, "elapsed_sec": 58.074} +{"pair_id": "053_seed_930", "sample_index": 53, "seed": 930, "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_930_In a bustling public square two individuals engage.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Interaction & Argument Logic\", \"reason_1\": \"Video 1 clearly depicts two distinct individuals engaged in a heated verbal exchange with logical body language.\", \"reason_2\": \"Video 2 shows a chaotic morphing of figures where the argument is indistinguishable from the visual glitches.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Bustling Square)\", \"reason_1\": \"The background in Video 1 is stable and clearly resembles a European-style public square with depth.\", \"reason_2\": \"The background in Video 2 is unstable and warps along with the foreground subjects, losing environmental coherence.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Crowd & Onlooker Presence\", \"reason_1\": \"Video 1 includes a visible crowd in the background that remains relatively static and distinct from the main subjects.\", \"reason_2\": \"Video 2 attempts to show a crowd, but the figures are nightmarish distortions that blend into the architecture.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the core semantic elements: two distinct individuals arguing in a public square with a visible crowd. Video 2 fails to maintain the distinctness of the subjects, merging them into a chaotic, morphing blob that obscures the narrative.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.\", \"reason_2\": \"The faces in Video 2 melt, change shape, and distort severely with every movement, completely failing identity persistence.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 maintains solid object permanence; bodies and clothes do not randomly change shape.\", \"reason_2\": \"Video 2 exhibits extreme morphing; the man's jacket and the woman's hair constantly shift texture and form.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity\", \"reason_1\": \"Video 1 generally respects human anatomy, though there are minor imperfections in hand rendering.\", \"reason_2\": \"Video 2 displays severe anatomical horrors, with eyes bulging unnaturally and mouths stretching beyond human limits.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains high stability and realism. Video 2 is plagued by severe artifacts, including facial melting, limb hallucinations, and constant texture flickering.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity vs. Uncanny Valley\", \"reason_1\": \"The expressions in Video 1 convey genuine anger and intensity appropriate for an argument.\", \"reason_2\": \"The expressions in Video 2 are grotesque caricatures that evoke horror rather than the intended dramatic tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 uses a clear medium shot that keeps the focus on the interaction while showing the context.\", \"reason_2\": \"Video 2 has erratic framing where the camera seems to struggle to decide what the subject is, often cutting off heads or distorting the view.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The story of a public dispute is immediately readable in Video 1.\", \"reason_2\": \"Video 2 is visually confusing; without the prompt, it would be difficult to discern that this is a narrative argument rather than a glitch.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully creates a cinematic 'news footage' aesthetic that fits the prompt's tone. Video 2 creates an unintentional horror aesthetic due to the distortions, failing to convey the intended narrative of a public dispute.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Character Animation & Expression\", \"dims\": [{\"name\": \"Gesture Naturalism\", \"reason_1\": \"The hand gestures in Video 1 are animated and fit the rhythm of an argument.\", \"reason_2\": \"The gestures in Video 2 are jerky and result in hands merging with other objects or the face.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Realism\", \"reason_1\": \"Video 1 captures furrowed brows and open mouths realistically.\", \"reason_2\": \"Video 2 features exaggerated, cartoonish expressions that look like bad rubber masks.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"Movement in Video 1 is smooth and consistent with the frame rate.\", \"reason_2\": \"Video 2 has a jittery, strobe-like quality to the motion that is visually jarring.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Given the prompt's focus on 'animated gestures' and 'raw emotions', this category evaluates the specific quality of the human performance. Video 1 provides realistic acting, while Video 2 provides terrifying caricatures.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every conceivable metric. It delivers a coherent, realistic depiction of the prompt with stable character identities, logical interactions, and a consistent environment. Video 2 suffers from catastrophic failure in temporal coherence, exhibiting severe facial morphing, anatomical distortion, and a complete breakdown of visual logic, rendering the scene nightmarish rather than realistic.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Interaction & Argument Logic", "reason_1": "Video 1 clearly depicts two distinct individuals engaged in a heated verbal exchange with logical body language.", "reason_2": "Video 2 shows a chaotic morphing of figures where the argument is indistinguishable from the visual glitches.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Bustling Square)", "reason_1": "The background in Video 1 is stable and clearly resembles a European-style public square with depth.", "reason_2": "The background in Video 2 is unstable and warps along with the foreground subjects, losing environmental coherence.", "score_1": 8, "score_2": 2}, {"name": "Crowd & Onlooker Presence", "reason_1": "Video 1 includes a visible crowd in the background that remains relatively static and distinct from the main subjects.", "reason_2": "Video 2 attempts to show a crowd, but the figures are nightmarish distortions that blend into the architecture.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the core semantic elements: two distinct individuals arguing in a public square with a visible crowd. Video 2 fails to maintain the distinctness of the subjects, merging them into a chaotic, morphing blob that obscures the narrative.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.", "reason_2": "The faces in Video 2 melt, change shape, and distort severely with every movement, completely failing identity persistence.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Video 1 maintains solid object permanence; bodies and clothes do not randomly change shape.", "reason_2": "Video 2 exhibits extreme morphing; the man's jacket and the woman's hair constantly shift texture and form.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity", "reason_1": "Video 1 generally respects human anatomy, though there are minor imperfections in hand rendering.", "reason_2": "Video 2 displays severe anatomical horrors, with eyes bulging unnaturally and mouths stretching beyond human limits.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains high stability and realism. Video 2 is plagued by severe artifacts, including facial melting, limb hallucinations, and constant texture flickering.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity vs. Uncanny Valley", "reason_1": "The expressions in Video 1 convey genuine anger and intensity appropriate for an argument.", "reason_2": "The expressions in Video 2 are grotesque caricatures that evoke horror rather than the intended dramatic tension.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 uses a clear medium shot that keeps the focus on the interaction while showing the context.", "reason_2": "Video 2 has erratic framing where the camera seems to struggle to decide what the subject is, often cutting off heads or distorting the view.", "score_1": 8, "score_2": 2}, {"name": "Narrative Clarity", "reason_1": "The story of a public dispute is immediately readable in Video 1.", "reason_2": "Video 2 is visually confusing; without the prompt, it would be difficult to discern that this is a narrative argument rather than a glitch.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully creates a cinematic 'news footage' aesthetic that fits the prompt's tone. Video 2 creates an unintentional horror aesthetic due to the distortions, failing to convey the intended narrative of a public dispute.", "cat_winner": "Video 1"}, {"name": "D. Character Animation & Expression", "dims": [{"name": "Gesture Naturalism", "reason_1": "The hand gestures in Video 1 are animated and fit the rhythm of an argument.", "reason_2": "The gestures in Video 2 are jerky and result in hands merging with other objects or the face.", "score_1": 8, "score_2": 2}, {"name": "Expression Realism", "reason_1": "Video 1 captures furrowed brows and open mouths realistically.", "reason_2": "Video 2 features exaggerated, cartoonish expressions that look like bad rubber masks.", "score_1": 9, "score_2": 1}, {"name": "Motion Fluidity", "reason_1": "Movement in Video 1 is smooth and consistent with the frame rate.", "reason_2": "Video 2 has a jittery, strobe-like quality to the motion that is visually jarring.", "score_1": 8, "score_2": 2}], "cat_reason": "Given the prompt's focus on 'animated gestures' and 'raw emotions', this category evaluates the specific quality of the human performance. Video 1 provides realistic acting, while Video 2 provides terrifying caricatures.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every conceivable metric. It delivers a coherent, realistic depiction of the prompt with stable character identities, logical interactions, and a consistent environment. Video 2 suffers from catastrophic failure in temporal coherence, exhibiting severe facial morphing, anatomical distortion, and a complete breakdown of visual logic, rendering the scene nightmarish rather than realistic.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 101.0, "total_score_2": 19.0, "elapsed_sec": 69.548} +{"pair_id": "056_seed_310", "sample_index": 56, "seed": 310, "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_310_In a sunlit community center a diverse group of in.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_310_In a sunlit community center a diverse group of in.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_310_In a sunlit community center a diverse group of in.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_310_In a sunlit community center a diverse group of in.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Roster & Cultural Attire\", \"reason_1\": \"Video 1 clearly depicts the woman in the sari, the man in the suit, and the woman in the hijab with distinct, stable attire. The 'teenager in dashiki' is ambiguous but the group diversity is well-represented.\", \"reason_2\": \"Video 2 attempts the subjects, but the attire morphs constantly, and the specific cultural markers (like the dashiki or tailored suit) are lost in visual noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity: Collaborative Sketching\", \"reason_1\": \"Video 1 explicitly shows the group focused on a notepad with pens in hand, simulating the 'collaboratively sketch ideas' instruction effectively.\", \"reason_2\": \"Video 2 shows a table, but the action is incoherent; hands merge with the table and the notepad is not clearly defined or interacted with logically.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context: Sunlit Center\", \"reason_1\": \"Video 1 establishes a consistent, bright, sunlit room that feels like a community center.\", \"reason_2\": \"Video 2's background is unstable, with walls and windows warping and shifting, breaking the illusion of a physical space.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific cultural attire and the collaborative action described in the prompt. Video 2 struggles to maintain the distinct identities of the subjects and fails to clearly depict the sketching activity due to visual distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The faces in Video 1 remain recognizable and structurally sound throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'face melting,' where features slide off faces and identities change frame by frame.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body & Objects)\", \"reason_1\": \"Objects like the table and chairs remain solid. Hands are imperfect but maintain basic structure.\", \"reason_2\": \"Video 2 is plagued by morphing; the table changes shape, and the subjects' bodies distort fluidly in an unrealistic manner.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"Movement is relatively smooth and grounded in physics.\", \"reason_2\": \"The motion in Video 2 is jerky and hallucinatory, with sudden jumps and unnatural warping.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains high stability and realism, while Video 2 exhibits severe artifacts, warping, and loss of subject identity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Warmth & Camaraderie)\", \"reason_1\": \"The subjects in Video 1 display natural smiles and engaged body language, conveying the requested warmth.\", \"reason_2\": \"Due to facial distortions, the expressions in Video 2 often look uncanny or disturbing rather than warm.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a clear medium shot that captures the group dynamic and the table activity well.\", \"reason_2\": \"Video 2's framing is erratic, often cutting off heads or focusing on distorted background elements.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Style Consistency\", \"reason_1\": \"Video 1 maintains a consistent photorealistic style.\", \"reason_2\": \"Video 2 fluctuates between photorealism and garbled digital noise.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully conveys the mood of camaraderie and respect through clear expressions and good composition. Video 2's aesthetic is ruined by technical glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior temporal stability, visual fidelity, and semantic accuracy. It successfully depicts the diverse group, their specific attire, and the collaborative action of sketching on a notepad with consistent character identities. Video 2 suffers from severe morphological instability, with faces and bodies melting and distorting significantly, making the narrative and emotional connection impossible to sustain.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Roster & Cultural Attire", "reason_1": "Video 1 clearly depicts the woman in the sari, the man in the suit, and the woman in the hijab with distinct, stable attire. The 'teenager in dashiki' is ambiguous but the group diversity is well-represented.", "reason_2": "Video 2 attempts the subjects, but the attire morphs constantly, and the specific cultural markers (like the dashiki or tailored suit) are lost in visual noise.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity: Collaborative Sketching", "reason_1": "Video 1 explicitly shows the group focused on a notepad with pens in hand, simulating the 'collaboratively sketch ideas' instruction effectively.", "reason_2": "Video 2 shows a table, but the action is incoherent; hands merge with the table and the notepad is not clearly defined or interacted with logically.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context: Sunlit Center", "reason_1": "Video 1 establishes a consistent, bright, sunlit room that feels like a community center.", "reason_2": "Video 2's background is unstable, with walls and windows warping and shifting, breaking the illusion of a physical space.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific cultural attire and the collaborative action described in the prompt. Video 2 struggles to maintain the distinct identities of the subjects and fails to clearly depict the sketching activity due to visual distortion.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The faces in Video 1 remain recognizable and structurally sound throughout the clip.", "reason_2": "Video 2 exhibits severe 'face melting,' where features slide off faces and identities change frame by frame.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body & Objects)", "reason_1": "Objects like the table and chairs remain solid. Hands are imperfect but maintain basic structure.", "reason_2": "Video 2 is plagued by morphing; the table changes shape, and the subjects' bodies distort fluidly in an unrealistic manner.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Coherence", "reason_1": "Movement is relatively smooth and grounded in physics.", "reason_2": "The motion in Video 2 is jerky and hallucinatory, with sudden jumps and unnatural warping.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains high stability and realism, while Video 2 exhibits severe artifacts, warping, and loss of subject identity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Warmth & Camaraderie)", "reason_1": "The subjects in Video 1 display natural smiles and engaged body language, conveying the requested warmth.", "reason_2": "Due to facial distortions, the expressions in Video 2 often look uncanny or disturbing rather than warm.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a clear medium shot that captures the group dynamic and the table activity well.", "reason_2": "Video 2's framing is erratic, often cutting off heads or focusing on distorted background elements.", "score_1": 8, "score_2": 2}, {"name": "Visual Style Consistency", "reason_1": "Video 1 maintains a consistent photorealistic style.", "reason_2": "Video 2 fluctuates between photorealism and garbled digital noise.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully conveys the mood of camaraderie and respect through clear expressions and good composition. Video 2's aesthetic is ruined by technical glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior temporal stability, visual fidelity, and semantic accuracy. It successfully depicts the diverse group, their specific attire, and the collaborative action of sketching on a notepad with consistent character identities. Video 2 suffers from severe morphological instability, with faces and bodies melting and distorting significantly, making the narrative and emotional connection impossible to sustain.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 58.703} +{"pair_id": "059_seed_42", "sample_index": 59, "seed": 42, "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_42_A solitary figure sits on the edge of a dimly lit.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Lighting & Shadow Dynamics\", \"reason_1\": \"Video 1 features a static, flat background with no dynamic lighting or dancing shadows as requested.\", \"reason_2\": \"Video 2 perfectly renders the 'dimly lit room' with a flickering light source that casts dynamic, dancing shadows on the wall behind the subject.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Expression & Emotional Detail\", \"reason_1\": \"Video 1 depicts a stylized, cartoonish face with a simple tear line, lacking the 'raw emotion' and 'furrowed brows' described.\", \"reason_2\": \"Video 2 captures a realistic, pained expression with furrowed brows and a somber gaze, aligning closely with the 'canvas of raw emotion' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement & Narrative Flow\", \"reason_1\": \"Video 1 is a static shot with no camera movement, failing the 'zoom in' and 'pan out' instructions.\", \"reason_2\": \"Video 2 executes a slow, cinematic push-in (zoom) that enhances the intimacy and tension of the scene, aligning with the prompt's direction.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Object & Action Fidelity (Letter & Hands)\", \"reason_1\": \"Video 1 shows the figure holding a paper, but the hands are static and lack the 'trembling' detail.\", \"reason_2\": \"Video 2 shows the figure clutching a small paper object with hands that appear tense and engaged, fitting the 'clutching a crumpled letter' description.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately interprets the complex environmental and lighting descriptions, whereas Video 1 ignores the dynamic shadow and camera movement requirements entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Style & Textural Fidelity\", \"reason_1\": \"Video 1 is a low-detail, 2D sketch animation with no textural depth.\", \"reason_2\": \"Video 2 offers high-fidelity textures on the skin, clothing, and wooden background, creating a convincing photorealistic look.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Physics & Volumetrics\", \"reason_1\": \"Video 1 lacks volumetric lighting; the candle is a simple drawing with no light interaction on the subject.\", \"reason_2\": \"Video 2 demonstrates excellent lighting physics, with the candle's flicker realistically illuminating the subject's face and casting corresponding shadows.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness & Fluidity\", \"reason_1\": \"Video 1 has a low frame rate and jerky, puppet-warp style animation.\", \"reason_2\": \"Video 2 features smooth, continuous motion in both the camera work and the subtle movements of the subject.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 presents a high-quality, photorealistic render with sophisticated lighting physics, while Video 1 is a low-fidelity, jerky 2D animation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood & Tone\", \"reason_1\": \"The cartoon style of Video 1 creates a whimsical or childish tone that clashes with the 'haunting' and 'solitary' mood.\", \"reason_2\": \"Video 2 successfully establishes a somber, haunting atmosphere through color grading and lighting, matching the 'storm within' narrative.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 is a flat, 2D composition with no sense of spatial depth.\", \"reason_2\": \"Video 2 utilizes depth of field and spatial arrangement to create a cinematic look that draws the viewer into the subject's isolation.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Immersion\", \"reason_1\": \"The lack of detail and movement in Video 1 prevents any real narrative immersion.\", \"reason_2\": \"The combination of the close-up framing, the lighting, and the subject's expression in Video 2 effectively conveys the story of inner conflict and grief.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully evokes the 'haunting' and 'solitary' mood through cinematic composition and lighting, whereas Video 1's aesthetic is too simplistic to convey the intended emotional weight.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every metric, offering a photorealistic and cinematic interpretation that perfectly captures the atmospheric lighting, emotional depth, and camera movement described in the prompt. Video 1 is a simplistic, static 2D animation that fails to render the dynamic shadows, camera zoom, or the raw emotional texture required.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Lighting & Shadow Dynamics", "reason_1": "Video 1 features a static, flat background with no dynamic lighting or dancing shadows as requested.", "reason_2": "Video 2 perfectly renders the 'dimly lit room' with a flickering light source that casts dynamic, dancing shadows on the wall behind the subject.", "score_1": 1, "score_2": 9}, {"name": "Subject Expression & Emotional Detail", "reason_1": "Video 1 depicts a stylized, cartoonish face with a simple tear line, lacking the 'raw emotion' and 'furrowed brows' described.", "reason_2": "Video 2 captures a realistic, pained expression with furrowed brows and a somber gaze, aligning closely with the 'canvas of raw emotion' description.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement & Narrative Flow", "reason_1": "Video 1 is a static shot with no camera movement, failing the 'zoom in' and 'pan out' instructions.", "reason_2": "Video 2 executes a slow, cinematic push-in (zoom) that enhances the intimacy and tension of the scene, aligning with the prompt's direction.", "score_1": 1, "score_2": 9}, {"name": "Object & Action Fidelity (Letter & Hands)", "reason_1": "Video 1 shows the figure holding a paper, but the hands are static and lack the 'trembling' detail.", "reason_2": "Video 2 shows the figure clutching a small paper object with hands that appear tense and engaged, fitting the 'clutching a crumpled letter' description.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately interprets the complex environmental and lighting descriptions, whereas Video 1 ignores the dynamic shadow and camera movement requirements entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Style & Textural Fidelity", "reason_1": "Video 1 is a low-detail, 2D sketch animation with no textural depth.", "reason_2": "Video 2 offers high-fidelity textures on the skin, clothing, and wooden background, creating a convincing photorealistic look.", "score_1": 1, "score_2": 9}, {"name": "Lighting Physics & Volumetrics", "reason_1": "Video 1 lacks volumetric lighting; the candle is a simple drawing with no light interaction on the subject.", "reason_2": "Video 2 demonstrates excellent lighting physics, with the candle's flicker realistically illuminating the subject's face and casting corresponding shadows.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness & Fluidity", "reason_1": "Video 1 has a low frame rate and jerky, puppet-warp style animation.", "reason_2": "Video 2 features smooth, continuous motion in both the camera work and the subtle movements of the subject.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 presents a high-quality, photorealistic render with sophisticated lighting physics, while Video 1 is a low-fidelity, jerky 2D animation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood & Tone", "reason_1": "The cartoon style of Video 1 creates a whimsical or childish tone that clashes with the 'haunting' and 'solitary' mood.", "reason_2": "Video 2 successfully establishes a somber, haunting atmosphere through color grading and lighting, matching the 'storm within' narrative.", "score_1": 1, "score_2": 9}, {"name": "Cinematic Composition & Depth", "reason_1": "Video 1 is a flat, 2D composition with no sense of spatial depth.", "reason_2": "Video 2 utilizes depth of field and spatial arrangement to create a cinematic look that draws the viewer into the subject's isolation.", "score_1": 2, "score_2": 8}, {"name": "Narrative Immersion", "reason_1": "The lack of detail and movement in Video 1 prevents any real narrative immersion.", "reason_2": "The combination of the close-up framing, the lighting, and the subject's expression in Video 2 effectively conveys the story of inner conflict and grief.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully evokes the 'haunting' and 'solitary' mood through cinematic composition and lighting, whereas Video 1's aesthetic is too simplistic to convey the intended emotional weight.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every metric, offering a photorealistic and cinematic interpretation that perfectly captures the atmospheric lighting, emotional depth, and camera movement described in the prompt. Video 1 is a simplistic, static 2D animation that fails to render the dynamic shadows, camera zoom, or the raw emotional texture required.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 17.0, "total_score_2": 83.0, "elapsed_sec": 64.337} +{"pair_id": "061_seed_930", "sample_index": 61, "seed": 930, "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_930_A group of teenagers clad in casual streetwear per.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Specificity (Stunts & Wheelies)\", \"reason_1\": \"Video 1 clearly depicts the subjects performing wheelies and balancing maneuvers on their bikes, directly aligning with the prompt's request for 'daring stunts' and 'wheelies'.\", \"reason_2\": \"Video 2 shows the subjects riding, but they are mostly just balancing or turning; the specific 'wheelie' action is absent or indistinguishable from general instability.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Highway & Traffic)\", \"reason_1\": \"Video 1 depicts a highway setting, but the cars in the background are somewhat generic and lack the 'bustling' density implied by the prompt.\", \"reason_2\": \"Video 2 features a more complex environment with a bus, multiple car types, and a bridge structure, better capturing the 'bustling highway' atmosphere.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Conclusion (Helmet Shot)\", \"reason_1\": \"Video 1 successfully transitions to a shot of a helmet on the ground, fulfilling the narrative conclusion requirement.\", \"reason_2\": \"Video 2 also successfully includes the helmet shot at the end, fulfilling the narrative conclusion requirement.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres more strictly to the specific action requirements of the prompt, particularly the 'wheelies' and the 'group' aspect, whereas Video 2's subjects are less distinct in their actions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The subjects in Video 1 maintain their human form and the structure of their bikes remains relatively consistent throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe hallucinations; the riders' bodies distort, limbs disappear, and the vehicles morph into the riders or the road.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Physics & Motion Plausibility\", \"reason_1\": \"The motion in Video 1, while slightly floaty, follows a logical trajectory for wheeled vehicles.\", \"reason_2\": \"The motion in Video 2 is chaotic and glitchy; the subjects appear to slide sideways or clip through objects rather than roll on wheels.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"Video 1 is sharp and clear with good lighting definition.\", \"reason_2\": \"Video 2 appears muddier with significant generation artifacts and blurring around the moving subjects.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains solid structural integrity, while Video 2 fails significantly with severe morphing and physics hallucinations.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Motion & Tracking\", \"reason_1\": \"The camera in Video 1 tracks the subjects smoothly, keeping them in frame and enhancing the sense of speed.\", \"reason_2\": \"The camera work in Video 2 is erratic and disjointed, struggling to keep the morphing subjects in a logical perspective.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Flow & Pacing\", \"reason_1\": \"Video 1 has a clear beginning (stunts) and end (helmet), creating a cohesive short clip.\", \"reason_2\": \"Video 2 feels like a random collection of glitchy frames without a clear narrative progression.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually coherent and pleasant to watch.\", \"reason_2\": \"The visual appeal is destroyed by the constant morphing and lack of object permanence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a watchable, coherent clip with smooth camera work, whereas Video 2 is visually confusing due to the technical glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior morphological stability and clearer adherence to the specific action prompts. While Video 2 attempts a more complex background, it suffers from severe subject distortion and physics hallucinations (morphing bodies and vehicles). Video 1 maintains the structural integrity of the riders and their bikes, successfully depicts the requested 'wheelies', and provides a smooth, coherent visual narrative that transitions logically to the concluding helmet shot.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Specificity (Stunts & Wheelies)", "reason_1": "Video 1 clearly depicts the subjects performing wheelies and balancing maneuvers on their bikes, directly aligning with the prompt's request for 'daring stunts' and 'wheelies'.", "reason_2": "Video 2 shows the subjects riding, but they are mostly just balancing or turning; the specific 'wheelie' action is absent or indistinguishable from general instability.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Highway & Traffic)", "reason_1": "Video 1 depicts a highway setting, but the cars in the background are somewhat generic and lack the 'bustling' density implied by the prompt.", "reason_2": "Video 2 features a more complex environment with a bus, multiple car types, and a bridge structure, better capturing the 'bustling highway' atmosphere.", "score_1": 4, "score_2": 6}, {"name": "Narrative Conclusion (Helmet Shot)", "reason_1": "Video 1 successfully transitions to a shot of a helmet on the ground, fulfilling the narrative conclusion requirement.", "reason_2": "Video 2 also successfully includes the helmet shot at the end, fulfilling the narrative conclusion requirement.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres more strictly to the specific action requirements of the prompt, particularly the 'wheelies' and the 'group' aspect, whereas Video 2's subjects are less distinct in their actions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "The subjects in Video 1 maintain their human form and the structure of their bikes remains relatively consistent throughout the clip.", "reason_2": "Video 2 suffers from severe hallucinations; the riders' bodies distort, limbs disappear, and the vehicles morph into the riders or the road.", "score_1": 8, "score_2": 2}, {"name": "Physics & Motion Plausibility", "reason_1": "The motion in Video 1, while slightly floaty, follows a logical trajectory for wheeled vehicles.", "reason_2": "The motion in Video 2 is chaotic and glitchy; the subjects appear to slide sideways or clip through objects rather than roll on wheels.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Clarity", "reason_1": "Video 1 is sharp and clear with good lighting definition.", "reason_2": "Video 2 appears muddier with significant generation artifacts and blurring around the moving subjects.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains solid structural integrity, while Video 2 fails significantly with severe morphing and physics hallucinations.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Motion & Tracking", "reason_1": "The camera in Video 1 tracks the subjects smoothly, keeping them in frame and enhancing the sense of speed.", "reason_2": "The camera work in Video 2 is erratic and disjointed, struggling to keep the morphing subjects in a logical perspective.", "score_1": 7, "score_2": 3}, {"name": "Narrative Flow & Pacing", "reason_1": "Video 1 has a clear beginning (stunts) and end (helmet), creating a cohesive short clip.", "reason_2": "Video 2 feels like a random collection of glitchy frames without a clear narrative progression.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually coherent and pleasant to watch.", "reason_2": "The visual appeal is destroyed by the constant morphing and lack of object permanence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a watchable, coherent clip with smooth camera work, whereas Video 2 is visually confusing due to the technical glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior morphological stability and clearer adherence to the specific action prompts. While Video 2 attempts a more complex background, it suffers from severe subject distortion and physics hallucinations (morphing bodies and vehicles). Video 1 maintains the structural integrity of the riders and their bikes, successfully depicts the requested 'wheelies', and provides a smooth, coherent visual narrative that transitions logically to the concluding helmet shot.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 61.0, "total_score_2": 29.0, "elapsed_sec": 60.563} +{"pair_id": "064_seed_310", "sample_index": 64, "seed": 310, "prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_310_In a dimly lit smoke-filled room a diverse group o.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_310_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_310_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_310_In a dimly lit smoke-filled room a diverse group o.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Sequence & Montage Execution\", \"reason_1\": \"Video 1 completely ignores the instruction to shift to a montage of preparations (hacking, stealth), remaining static on the meeting.\", \"reason_2\": \"Video 2 also fails to generate the requested montage or scene shifts, staying fixed on the initial huddle.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Specificity (Leader & Young Man)\", \"reason_1\": \"Video 1 clearly depicts the 'sharp-eyed woman in a tailored suit' as the focal point, aligning well with the prompt's character description.\", \"reason_2\": \"Video 2 lacks a clear focal leader; the characters are generic and their roles are indistinguishable due to visual distortion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Lighting & Props)\", \"reason_1\": \"Video 1 successfully renders the 'dimly lit, smoke-filled room' and the table cluttered with blueprints and tablets.\", \"reason_2\": \"Video 2 attempts the environment but the lighting is flat and the props (table items) are unrecognizable blobs.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific character details (woman in suit) and environmental atmosphere requested, whereas Video 2 fails to render distinct characters or a coherent setting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Video 1 maintains relatively stable and recognizable human faces throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'melting face' artifacts, where features slide off the head and distort grotesquely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body Structure)\", \"reason_1\": \"The bodies and hands in Video 1 remain solid and anatomically plausible.\", \"reason_2\": \"In Video 2, hands merge into the table and bodies warp fluidly, lacking any physical solidity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined textures on the suits and paper.\", \"reason_2\": \"The video is blurry, noisy, and lacks definition, resembling a low-quality early generation model.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains acceptable human anatomy and image sharpness. Video 2 exhibits severe hallucinations, with faces melting and limbs merging, rendering it visually unacceptable.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"Video 1 effectively uses the 'soft glow' and smoke to create a dramatic, tense atmosphere suitable for a heist movie.\", \"reason_2\": \"Video 2 has flat, unappealing lighting that fails to evoke the requested tension or mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is balanced, focusing attention on the group dynamic and the leader.\", \"reason_2\": \"Video 2 has awkward framing with characters cut off or positioned randomly, lacking a focal point.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually coherent and pleasant to watch despite the lack of complex motion.\", \"reason_2\": \"The visual artifacts and distortions make the video unpleasant and disturbing to watch.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 achieves a cinematic look with dramatic lighting and professional composition. Video 2 is aesthetically displeasing due to its chaotic and broken visuals.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to significantly higher visual fidelity and anatomical coherence. While both videos fail to execute the complex narrative progression (the montage of preparations), Video 1 successfully renders the initial scene with a recognizable leader, appropriate lighting, and stable character features. Video 2 suffers from catastrophic morphological failure, with severe facial distortions and melting artifacts that destroy realism.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Sequence & Montage Execution", "reason_1": "Video 1 completely ignores the instruction to shift to a montage of preparations (hacking, stealth), remaining static on the meeting.", "reason_2": "Video 2 also fails to generate the requested montage or scene shifts, staying fixed on the initial huddle.", "score_1": 5, "score_2": 5}, {"name": "Subject Specificity (Leader & Young Man)", "reason_1": "Video 1 clearly depicts the 'sharp-eyed woman in a tailored suit' as the focal point, aligning well with the prompt's character description.", "reason_2": "Video 2 lacks a clear focal leader; the characters are generic and their roles are indistinguishable due to visual distortion.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Lighting & Props)", "reason_1": "Video 1 successfully renders the 'dimly lit, smoke-filled room' and the table cluttered with blueprints and tablets.", "reason_2": "Video 2 attempts the environment but the lighting is flat and the props (table items) are unrecognizable blobs.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific character details (woman in suit) and environmental atmosphere requested, whereas Video 2 fails to render distinct characters or a coherent setting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Video 1 maintains relatively stable and recognizable human faces throughout the clip.", "reason_2": "Video 2 suffers from severe 'melting face' artifacts, where features slide off the head and distort grotesquely.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body Structure)", "reason_1": "The bodies and hands in Video 1 remain solid and anatomically plausible.", "reason_2": "In Video 2, hands merge into the table and bodies warp fluidly, lacking any physical solidity.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined textures on the suits and paper.", "reason_2": "The video is blurry, noisy, and lacks definition, resembling a low-quality early generation model.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains acceptable human anatomy and image sharpness. Video 2 exhibits severe hallucinations, with faces melting and limbs merging, rendering it visually unacceptable.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "Video 1 effectively uses the 'soft glow' and smoke to create a dramatic, tense atmosphere suitable for a heist movie.", "reason_2": "Video 2 has flat, unappealing lighting that fails to evoke the requested tension or mood.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is balanced, focusing attention on the group dynamic and the leader.", "reason_2": "Video 2 has awkward framing with characters cut off or positioned randomly, lacking a focal point.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually coherent and pleasant to watch despite the lack of complex motion.", "reason_2": "The visual artifacts and distortions make the video unpleasant and disturbing to watch.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 achieves a cinematic look with dramatic lighting and professional composition. Video 2 is aesthetically displeasing due to its chaotic and broken visuals.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to significantly higher visual fidelity and anatomical coherence. While both videos fail to execute the complex narrative progression (the montage of preparations), Video 1 successfully renders the initial scene with a recognizable leader, appropriate lighting, and stable character features. Video 2 suffers from catastrophic morphological failure, with severe facial distortions and melting artifacts that destroy realism.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 60.597} +{"pair_id": "067_seed_42", "sample_index": 67, "seed": 42, "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_42_A group of adventurous children wearing colorful c.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Climbing & Navigating)\", \"reason_1\": \"Video 1 explicitly shows the children stepping up onto and climbing over debris and machinery, perfectly matching the prompt's instruction to 'climb over piles of debris'.\", \"reason_2\": \"Video 2 shows the children walking on a flat surface, completely ignoring the instruction to climb or navigate precarious structures.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Complexity (Rusted Machinery)\", \"reason_1\": \"The environment in Video 1 is dense with large, rusted industrial shapes that the children interact with physically, creating a true sense of an 'abandoned industrial site'.\", \"reason_2\": \"Video 2 features a generic background with some pipes, but the children do not interact with the environment, making the setting feel like a backdrop rather than a place to explore.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Colorful Clothes)\", \"reason_1\": \"Video 1 features distinct, vibrant clothing (purple, yellow) that stands out against the rusted background, aligning well with the 'colorful clothes' requirement.\", \"reason_2\": \"Video 2 also features colorful clothes, but the colors are slightly muddier and less distinct against the background compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately depicts the specific actions and environmental interactions requested, whereas Video 2 fails to show the children climbing or navigating complex structures.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial & Anatomical Stability\", \"reason_1\": \"While faces in Video 1 are somewhat distorted, they maintain a basic human structure throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe facial hallucinations; the children's faces melt, disappear, or look like distorted masks, creating a disturbing uncanny valley effect.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Physical Interaction & Grounding\", \"reason_1\": \"The subjects in Video 1 have weight; they step on objects, and their bodies react to the uneven terrain.\", \"reason_2\": \"The subjects in Video 2 appear to float or slide over the ground without realistic weight distribution or interaction with the floor.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"The movement in Video 1 is relatively smooth and consistent with the walking/climbing action.\", \"reason_2\": \"Video 2 has a jerky, stop-motion quality to the movement, making the characters look stiff and artificial.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains better structural integrity of the subjects and realistic physics, while Video 2 suffers from severe facial distortions and 'floating' motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Dynamics (Capturing Every Move)\", \"reason_1\": \"Video 1 utilizes a dynamic camera that tracks the children's movement through the space, fulfilling the prompt's request to 'capture their every move'.\", \"reason_2\": \"Video 2 uses a static, wide shot that feels distant and detached, failing to capture the energy of the exploration.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Lighting (Sun & Shadows)\", \"reason_1\": \"Video 1 features strong directional lighting that casts the 'long shadows' mentioned in the prompt, enhancing the depth and mood.\", \"reason_2\": \"Video 2 has flat, even lighting that lacks the dramatic contrast and shadows requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Immersion (Adventurous Spirit)\", \"reason_1\": \"The combination of climbing, camera movement, and setting in Video 1 successfully evokes a sense of adventure and curiosity.\", \"reason_2\": \"Due to the static camera and lack of interaction, Video 2 feels like a passive observation rather than an immersive adventure.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the adventurous spirit through dynamic camera work and lighting, whereas Video 2 is static and visually flat.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the complex physical interactions described in the prompt, specifically the children climbing over debris and navigating a cluttered environment. It also features dynamic camera movement that enhances the sense of exploration. Video 2, while showing children in an industrial setting, fails to depict the climbing action, suffers from severe facial distortions, and utilizes a static camera angle that lacks the requested immersive quality.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Climbing & Navigating)", "reason_1": "Video 1 explicitly shows the children stepping up onto and climbing over debris and machinery, perfectly matching the prompt's instruction to 'climb over piles of debris'.", "reason_2": "Video 2 shows the children walking on a flat surface, completely ignoring the instruction to climb or navigate precarious structures.", "score_1": 9, "score_2": 1}, {"name": "Environmental Complexity (Rusted Machinery)", "reason_1": "The environment in Video 1 is dense with large, rusted industrial shapes that the children interact with physically, creating a true sense of an 'abandoned industrial site'.", "reason_2": "Video 2 features a generic background with some pipes, but the children do not interact with the environment, making the setting feel like a backdrop rather than a place to explore.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Colorful Clothes)", "reason_1": "Video 1 features distinct, vibrant clothing (purple, yellow) that stands out against the rusted background, aligning well with the 'colorful clothes' requirement.", "reason_2": "Video 2 also features colorful clothes, but the colors are slightly muddier and less distinct against the background compared to Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately depicts the specific actions and environmental interactions requested, whereas Video 2 fails to show the children climbing or navigating complex structures.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial & Anatomical Stability", "reason_1": "While faces in Video 1 are somewhat distorted, they maintain a basic human structure throughout the clip.", "reason_2": "Video 2 suffers from severe facial hallucinations; the children's faces melt, disappear, or look like distorted masks, creating a disturbing uncanny valley effect.", "score_1": 7, "score_2": 3}, {"name": "Physical Interaction & Grounding", "reason_1": "The subjects in Video 1 have weight; they step on objects, and their bodies react to the uneven terrain.", "reason_2": "The subjects in Video 2 appear to float or slide over the ground without realistic weight distribution or interaction with the floor.", "score_1": 8, "score_2": 2}, {"name": "Motion Fluidity", "reason_1": "The movement in Video 1 is relatively smooth and consistent with the walking/climbing action.", "reason_2": "Video 2 has a jerky, stop-motion quality to the movement, making the characters look stiff and artificial.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains better structural integrity of the subjects and realistic physics, while Video 2 suffers from severe facial distortions and 'floating' motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Dynamics (Capturing Every Move)", "reason_1": "Video 1 utilizes a dynamic camera that tracks the children's movement through the space, fulfilling the prompt's request to 'capture their every move'.", "reason_2": "Video 2 uses a static, wide shot that feels distant and detached, failing to capture the energy of the exploration.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Lighting (Sun & Shadows)", "reason_1": "Video 1 features strong directional lighting that casts the 'long shadows' mentioned in the prompt, enhancing the depth and mood.", "reason_2": "Video 2 has flat, even lighting that lacks the dramatic contrast and shadows requested by the prompt.", "score_1": 8, "score_2": 2}, {"name": "Narrative Immersion (Adventurous Spirit)", "reason_1": "The combination of climbing, camera movement, and setting in Video 1 successfully evokes a sense of adventure and curiosity.", "reason_2": "Due to the static camera and lack of interaction, Video 2 feels like a passive observation rather than an immersive adventure.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the adventurous spirit through dynamic camera work and lighting, whereas Video 2 is static and visually flat.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the complex physical interactions described in the prompt, specifically the children climbing over debris and navigating a cluttered environment. It also features dynamic camera movement that enhances the sense of exploration. Video 2, while showing children in an industrial setting, fails to depict the climbing action, suffers from severe facial distortions, and utilizes a static camera angle that lacks the requested immersive quality.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 61.838} +{"pair_id": "069_seed_930", "sample_index": 69, "seed": 930, "prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_930_A tense scene unfolds on a bustling urban street w.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition & Attire Specificity\", \"reason_1\": \"Video 1 clearly renders individuals in traditional Korean-style Hanbok and headgear, maintaining distinct cultural symbols.\", \"reason_2\": \"Video 2 attempts traditional attire (turbans/shawls) but the clothing constantly morphs into skin or background elements, losing semantic meaning.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression of Hostility & Tension\", \"reason_1\": \"The subjects in Video 1 display readable expressions of shouting, anger, and shock, aligning well with the prompt's demand for 'contorted faces'.\", \"reason_2\": \"The expressions in Video 2 are grotesque distortions caused by low-quality generation rather than intentional emotional acting.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Narrow Alleyway)\", \"reason_1\": \"Video 1 depicts a coherent, albeit slightly stylized, narrow urban alleyway with consistent architecture.\", \"reason_2\": \"Video 2 suggests an alleyway but the background geometry is unstable and blends illogically with the crowd.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully renders distinct groups of people with specific traditional attire and clear facial expressions of anger and fear. Video 2 attempts the setting but fails to render distinct, logical subjects due to severe distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"Subjects in Video 1 maintain their shape and volume throughout the clip with minimal warping.\", \"reason_2\": \"Video 2 is plagued by constant morphing; faces melt, heads change shape, and bodies merge into one another.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity\", \"reason_1\": \"While there are minor imperfections, the human figures in Video 1 generally follow correct anatomical structure.\", \"reason_2\": \"Video 2 features severe anatomical horrors, including missing faces, extra limbs, and distorted skulls.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is relatively sharp and the details of the clothing and faces are discernible.\", \"reason_2\": \"The video is blurry, noisy, and lacks definition, making it difficult to distinguish specific details.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid temporal coherence, whereas Video 2 exhibits extreme 'melting' and hallucination artifacts typical of early-generation AI video.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a clear medium shot that frames the confrontation effectively, allowing the viewer to see the interaction.\", \"reason_2\": \"The framing in Video 2 is chaotic and cluttered, with no clear focal point due to the visual noise.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Readability\", \"reason_1\": \"The scene clearly conveys a story of a group being confronted in a street, matching the prompt's narrative arc.\", \"reason_2\": \"The narrative is lost entirely behind the visual artifacts; it is hard to tell what is happening beyond general chaos.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video has a consistent color palette and lighting style that resembles a period drama.\", \"reason_2\": \"The visual experience is unpleasant due to the grotesque distortions and lack of aesthetic direction.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a watchable, cinematic scene that resembles a historical drama. Video 2 fails to establish any aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior structural integrity and visual coherence. It successfully depicts a crowd scene with recognizable human anatomy, distinct traditional attire, and readable facial expressions that match the prompt's emotional requirements. Video 2, while attempting a similar setting, suffers from catastrophic morphological failure, with severe facial distortions, melting bodies, and a lack of temporal stability that renders the narrative unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition & Attire Specificity", "reason_1": "Video 1 clearly renders individuals in traditional Korean-style Hanbok and headgear, maintaining distinct cultural symbols.", "reason_2": "Video 2 attempts traditional attire (turbans/shawls) but the clothing constantly morphs into skin or background elements, losing semantic meaning.", "score_1": 8, "score_2": 2}, {"name": "Expression of Hostility & Tension", "reason_1": "The subjects in Video 1 display readable expressions of shouting, anger, and shock, aligning well with the prompt's demand for 'contorted faces'.", "reason_2": "The expressions in Video 2 are grotesque distortions caused by low-quality generation rather than intentional emotional acting.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Narrow Alleyway)", "reason_1": "Video 1 depicts a coherent, albeit slightly stylized, narrow urban alleyway with consistent architecture.", "reason_2": "Video 2 suggests an alleyway but the background geometry is unstable and blends illogically with the crowd.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully renders distinct groups of people with specific traditional attire and clear facial expressions of anger and fear. Video 2 attempts the setting but fails to render distinct, logical subjects due to severe distortion.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "Subjects in Video 1 maintain their shape and volume throughout the clip with minimal warping.", "reason_2": "Video 2 is plagued by constant morphing; faces melt, heads change shape, and bodies merge into one another.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity", "reason_1": "While there are minor imperfections, the human figures in Video 1 generally follow correct anatomical structure.", "reason_2": "Video 2 features severe anatomical horrors, including missing faces, extra limbs, and distorted skulls.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is relatively sharp and the details of the clothing and faces are discernible.", "reason_2": "The video is blurry, noisy, and lacks definition, making it difficult to distinguish specific details.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid temporal coherence, whereas Video 2 exhibits extreme 'melting' and hallucination artifacts typical of early-generation AI video.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a clear medium shot that frames the confrontation effectively, allowing the viewer to see the interaction.", "reason_2": "The framing in Video 2 is chaotic and cluttered, with no clear focal point due to the visual noise.", "score_1": 7, "score_2": 3}, {"name": "Narrative Readability", "reason_1": "The scene clearly conveys a story of a group being confronted in a street, matching the prompt's narrative arc.", "reason_2": "The narrative is lost entirely behind the visual artifacts; it is hard to tell what is happening beyond general chaos.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video has a consistent color palette and lighting style that resembles a period drama.", "reason_2": "The visual experience is unpleasant due to the grotesque distortions and lack of aesthetic direction.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a watchable, cinematic scene that resembles a historical drama. Video 2 fails to establish any aesthetic appeal due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior structural integrity and visual coherence. It successfully depicts a crowd scene with recognizable human anatomy, distinct traditional attire, and readable facial expressions that match the prompt's emotional requirements. Video 2, while attempting a similar setting, suffers from catastrophic morphological failure, with severe facial distortions, melting bodies, and a lack of temporal stability that renders the narrative unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 59.315} +{"pair_id": "072_seed_310", "sample_index": 72, "seed": 310, "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_310_The camera swiftly navigates through a bustling To.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_310_The camera swiftly navigates through a bustling To.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_310_The camera swiftly navigates through a bustling To.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_310_The camera swiftly navigates through a bustling To.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Futuristic Atmosphere & Color Palette\", \"reason_1\": \"Video 1 presents a dull, washed-out color palette that fails to convey 'futuristic energy' or the requested vivid neon hues.\", \"reason_2\": \"Video 2 successfully renders the 'electric blue' and 'fiery red' neon signs, creating a vibrant, high-energy atmosphere that matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Specificity (Autonomous Vehicles)\", \"reason_1\": \"Video 1 features a distinct, teal-colored vehicle that appears modern and autonomous, aligning well with the specific subject request.\", \"reason_2\": \"Video 2 features generic, contemporary-looking taxis that do not appear 'sleek' or 'autonomous' as requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Rain & Reflections)\", \"reason_1\": \"Video 1 shows wet pavement, but the reflections are muddy and lack the dynamic quality described.\", \"reason_2\": \"Video 2 renders high-contrast, dynamic reflections on the rain-soaked pavement, significantly enhancing the visual impact.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Crowd & Fashion Elements\", \"reason_1\": \"Video 1 shows pedestrians, but they are blurry and lack distinct 'avant-garde' fashion details.\", \"reason_2\": \"Video 2 depicts a denser crowd with more distinct clothing, though it also struggles to fully capture 'avant-garde' fashion.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the environmental atmosphere, lighting, and color palette described in the prompt much better than Video 1, despite Video 1 having a more accurate vehicle subject.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and lacks definition, resembling a low-resolution upscale.\", \"reason_2\": \"The video is sharp, with clear details in the signage, pavement textures, and vehicle surfaces.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting & Reflection Physics\", \"reason_1\": \"Lighting is flat and dull; reflections are present but lack realistic interaction with the light sources.\", \"reason_2\": \"Lighting is dynamic and vibrant; the neon lights interact realistically with the wet ground and surrounding surfaces.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The motion is somewhat jerky and the low frame rate perception detracts from the realism.\", \"reason_2\": \"The camera movement is smooth and fluid, creating a more professional and immersive viewing experience.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior in every aspect, offering a sharp, clear image compared to the blurry and low-resolution output of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Sensory Overload & Vibrancy\", \"reason_1\": \"The video feels muted and slow, failing to evoke the 'sensory overload' or 'buzz' described.\", \"reason_2\": \"The high saturation and contrast create a busy, vibrant aesthetic that aligns well with the prompt's energetic tone.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is functional but uninspired, with a central subject that gets lost in the blur.\", \"reason_2\": \"The composition uses the street lines and neon signs to create depth and lead the eye effectively through the scene.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The low quality and dull colors make the video visually unappealing.\", \"reason_2\": \"The vivid colors and sharp details make for a visually striking and engaging clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully creates the 'sensory overload' and 'vibrant' aesthetic requested, whereas Video 1 feels mundane and visually unappealing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, color vibrancy, and atmospheric rendering. While Video 1 attempts to depict a specific futuristic vehicle, the overall image is blurry, desaturated, and lacks the 'futuristic energy' requested. Video 2 delivers the vivid neon colors, dynamic reflections, and high-energy aesthetic described in the prompt, creating a much more immersive and visually pleasing result.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Futuristic Atmosphere & Color Palette", "reason_1": "Video 1 presents a dull, washed-out color palette that fails to convey 'futuristic energy' or the requested vivid neon hues.", "reason_2": "Video 2 successfully renders the 'electric blue' and 'fiery red' neon signs, creating a vibrant, high-energy atmosphere that matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Subject Specificity (Autonomous Vehicles)", "reason_1": "Video 1 features a distinct, teal-colored vehicle that appears modern and autonomous, aligning well with the specific subject request.", "reason_2": "Video 2 features generic, contemporary-looking taxis that do not appear 'sleek' or 'autonomous' as requested.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Rain & Reflections)", "reason_1": "Video 1 shows wet pavement, but the reflections are muddy and lack the dynamic quality described.", "reason_2": "Video 2 renders high-contrast, dynamic reflections on the rain-soaked pavement, significantly enhancing the visual impact.", "score_1": 4, "score_2": 6}, {"name": "Crowd & Fashion Elements", "reason_1": "Video 1 shows pedestrians, but they are blurry and lack distinct 'avant-garde' fashion details.", "reason_2": "Video 2 depicts a denser crowd with more distinct clothing, though it also struggles to fully capture 'avant-garde' fashion.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the environmental atmosphere, lighting, and color palette described in the prompt much better than Video 1, despite Video 1 having a more accurate vehicle subject.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and lacks definition, resembling a low-resolution upscale.", "reason_2": "The video is sharp, with clear details in the signage, pavement textures, and vehicle surfaces.", "score_1": 1, "score_2": 9}, {"name": "Lighting & Reflection Physics", "reason_1": "Lighting is flat and dull; reflections are present but lack realistic interaction with the light sources.", "reason_2": "Lighting is dynamic and vibrant; the neon lights interact realistically with the wet ground and surrounding surfaces.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness & Stability", "reason_1": "The motion is somewhat jerky and the low frame rate perception detracts from the realism.", "reason_2": "The camera movement is smooth and fluid, creating a more professional and immersive viewing experience.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior in every aspect, offering a sharp, clear image compared to the blurry and low-resolution output of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Sensory Overload & Vibrancy", "reason_1": "The video feels muted and slow, failing to evoke the 'sensory overload' or 'buzz' described.", "reason_2": "The high saturation and contrast create a busy, vibrant aesthetic that aligns well with the prompt's energetic tone.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition", "reason_1": "The framing is functional but uninspired, with a central subject that gets lost in the blur.", "reason_2": "The composition uses the street lines and neon signs to create depth and lead the eye effectively through the scene.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The low quality and dull colors make the video visually unappealing.", "reason_2": "The vivid colors and sharp details make for a visually striking and engaging clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully creates the 'sensory overload' and 'vibrant' aesthetic requested, whereas Video 1 feels mundane and visually unappealing.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, color vibrancy, and atmospheric rendering. While Video 1 attempts to depict a specific futuristic vehicle, the overall image is blurry, desaturated, and lacks the 'futuristic energy' requested. Video 2 delivers the vivid neon colors, dynamic reflections, and high-energy aesthetic described in the prompt, creating a much more immersive and visually pleasing result.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 33.0, "total_score_2": 67.0, "elapsed_sec": 62.782} +{"pair_id": "075_seed_42", "sample_index": 75, "seed": 42, "prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_42_In the dim light of dawn a delicate spiders web gl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_42_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_42_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_42_In the dim light of dawn a delicate spiders web gl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Fidelity (Web & Dew Structure)\", \"reason_1\": \"Video 1 renders a highly realistic, intricate spider web with distinct, glistening dew droplets as requested.\", \"reason_2\": \"Video 2 fails to generate a spider web, instead producing a strange, concentric circular pattern that resembles a fingerprint or ripple effect, completely missing the primary subject.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Conceptual Integration (Cosmic Spectacle)\", \"reason_1\": \"Video 1 interprets the 'cosmic spectacle' as a background environment and lighting effect, which is visually coherent even if it doesn't strictly place galaxies *inside* the droplets.\", \"reason_2\": \"Video 2 attempts to place a galaxy texture directly in the center, but because the 'web' structure is missing, the concept is lost and looks like a texture overlay error.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Dawn & Breeze)\", \"reason_1\": \"Video 1 captures the 'dim light of dawn' and the 'gentle sway' of the web in the breeze perfectly.\", \"reason_2\": \"Video 2 lacks the dawn atmosphere, presenting a generic space background, and the motion is a mechanical zoom rather than a natural breeze.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately depicts the primary subject (spider web with dew) and the environmental context (dawn, breeze). Video 2 fails to generate a recognizable spider web, rendering a concentric circle pattern instead.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"The texture of the silk and the refraction of light in the water droplets are rendered with photorealistic sharpness.\", \"reason_2\": \"The video is blurry, low-resolution, and lacks distinct texture definition.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Web Physics)\", \"reason_1\": \"The web sways naturally with the wind, showing realistic tension and weight.\", \"reason_2\": \"The concentric circles expand and contract in a rigid, artificial manner that defies physics.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability\", \"reason_1\": \"The video is stable with no flickering or morphing artifacts.\", \"reason_2\": \"The video suffers from significant jitter and morphing artifacts as the camera zooms.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade rendering with high resolution and realistic physics. Video 2 is blurry, low-resolution, and lacks physical plausibility.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition, lighting, and color palette create a beautiful, ethereal image that is pleasant to watch.\", \"reason_2\": \"The imagery is confusing and visually unappealing due to the lack of a clear subject and poor resolution.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Mood (Ethereal Beauty)\", \"reason_1\": \"Successfully evokes the 'ethereal beauty' and 'mysteries of the universe' through lighting and soft focus.\", \"reason_2\": \"Fails to establish a mood; the imagery feels like a technical glitch rather than an artistic interpretation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is subtle and cinematic, enhancing the sense of scale.\", \"reason_2\": \"The zoom is linear and mechanical, lacking cinematic nuance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a beautiful, moody, and ethereal scene that aligns with the artistic intent of the prompt. Video 2 is aesthetically unpleasing and confusing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity and accurate depiction of the primary subject (the spider web with dew). While it interprets the 'cosmic' elements more as an atmospheric background rather than strictly inside the droplets, it creates a cohesive, high-quality, and aesthetically pleasing scene. Video 2 fails fundamentally to generate a spider web, producing a low-quality, abstract concentric pattern that lacks the required physical structure and realism.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Fidelity (Web & Dew Structure)", "reason_1": "Video 1 renders a highly realistic, intricate spider web with distinct, glistening dew droplets as requested.", "reason_2": "Video 2 fails to generate a spider web, instead producing a strange, concentric circular pattern that resembles a fingerprint or ripple effect, completely missing the primary subject.", "score_1": 10, "score_2": 0}, {"name": "Conceptual Integration (Cosmic Spectacle)", "reason_1": "Video 1 interprets the 'cosmic spectacle' as a background environment and lighting effect, which is visually coherent even if it doesn't strictly place galaxies *inside* the droplets.", "reason_2": "Video 2 attempts to place a galaxy texture directly in the center, but because the 'web' structure is missing, the concept is lost and looks like a texture overlay error.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Dawn & Breeze)", "reason_1": "Video 1 captures the 'dim light of dawn' and the 'gentle sway' of the web in the breeze perfectly.", "reason_2": "Video 2 lacks the dawn atmosphere, presenting a generic space background, and the motion is a mechanical zoom rather than a natural breeze.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately depicts the primary subject (spider web with dew) and the environmental context (dawn, breeze). Video 2 fails to generate a recognizable spider web, rendering a concentric circle pattern instead.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Rendering", "reason_1": "The texture of the silk and the refraction of light in the water droplets are rendered with photorealistic sharpness.", "reason_2": "The video is blurry, low-resolution, and lacks distinct texture definition.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Web Physics)", "reason_1": "The web sways naturally with the wind, showing realistic tension and weight.", "reason_2": "The concentric circles expand and contract in a rigid, artificial manner that defies physics.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability", "reason_1": "The video is stable with no flickering or morphing artifacts.", "reason_2": "The video suffers from significant jitter and morphing artifacts as the camera zooms.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade rendering with high resolution and realistic physics. Video 2 is blurry, low-resolution, and lacks physical plausibility.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The composition, lighting, and color palette create a beautiful, ethereal image that is pleasant to watch.", "reason_2": "The imagery is confusing and visually unappealing due to the lack of a clear subject and poor resolution.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Mood (Ethereal Beauty)", "reason_1": "Successfully evokes the 'ethereal beauty' and 'mysteries of the universe' through lighting and soft focus.", "reason_2": "Fails to establish a mood; the imagery feels like a technical glitch rather than an artistic interpretation.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is subtle and cinematic, enhancing the sense of scale.", "reason_2": "The zoom is linear and mechanical, lacking cinematic nuance.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a beautiful, moody, and ethereal scene that aligns with the artistic intent of the prompt. Video 2 is aesthetically unpleasing and confusing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity and accurate depiction of the primary subject (the spider web with dew). While it interprets the 'cosmic' elements more as an atmospheric background rather than strictly inside the droplets, it creates a cohesive, high-quality, and aesthetically pleasing scene. Video 2 fails fundamentally to generate a spider web, producing a low-quality, abstract concentric pattern that lacks the required physical structure and realism.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 59.132} +{"pair_id": "077_seed_930", "sample_index": 77, "seed": 930, "prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_930_A professional ballet dancer dressed in a flowing.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Grand Jeté vs. Other)\", \"reason_1\": \"Video 1 depicts a dancer performing a pirouette (spinning on one axis), which is a completely different ballet move than the requested grand jeté (a split leap).\", \"reason_2\": \"Video 2 correctly depicts the dancer performing a grand jeté, capturing the split-leg leap and mid-air suspension described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attire Specificity (Leotard vs. Tutu)\", \"reason_1\": \"Video 1 generates a stiff, short tutu, which contradicts the prompt's request for a 'flowing white leotard'.\", \"reason_2\": \"Video 2 generates a costume that, while still having some volume, is much closer to a flowing leotard style than the rigid tutu in Video 1.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting (Sunlight & Shadows)\", \"reason_1\": \"Video 1 features a sunlit studio, but the lighting is somewhat flat and lacks the dramatic 'long shadows' requested.\", \"reason_2\": \"Video 2 captures the 'golden sunlight' and 'long shadows' more effectively, creating a stronger contrast between the subject and the background.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 aligns with the prompt's core requirements regarding the specific dance move and costume, whereas Video 1 fails on both counts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Face & Limbs)\", \"reason_1\": \"Video 1 suffers from severe facial distortion and morphing throughout the clip, breaking the illusion of a 'professional dancer'.\", \"reason_2\": \"Video 2 maintains a consistent and recognizable human form with a stable face and limbs throughout the motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Weight\", \"reason_1\": \"The spinning motion in Video 1 feels slightly floaty and lacks the grounded sense of friction and weight transfer.\", \"reason_2\": \"Video 2 conveys a better sense of momentum and gravity during the leap, making the movement feel more physically plausible.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The video has a slightly softer focus and lower perceived resolution compared to Video 2.\", \"reason_2\": \"The subject and background are rendered with higher sharpness and better definition of edges.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 maintains a stable human form, whereas Video 1 exhibits significant facial distortion and morphing artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Ethereal Quality)\", \"reason_1\": \"The flat lighting and stiff costume in Video 1 fail to evoke the 'ethereal' quality requested.\", \"reason_2\": \"The use of backlighting and the graceful pose in Video 2 successfully creates the airy, ethereal ambiance described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is functional but standard, keeping the subject in the center without much artistic flair.\", \"reason_2\": \"The framing allows for the full extension of the limbs during the jump, enhancing the aesthetic appeal of the silhouette.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Expression of Grace & Strength\", \"reason_1\": \"The facial artifacts and stiff movement detract significantly from the portrayal of grace.\", \"reason_2\": \"The fluidity of the leap and the extended arms effectively communicate the requested themes of grace and strength.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'ethereal' and 'graceful' mood significantly better through superior lighting and composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it correctly identifies and executes the specific action requested (a grand jeté/leap), whereas Video 1 depicts a pirouette (spin). Furthermore, Video 2 demonstrates superior anatomical stability, particularly in the face, and captures the requested lighting atmosphere more effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Grand Jeté vs. Other)", "reason_1": "Video 1 depicts a dancer performing a pirouette (spinning on one axis), which is a completely different ballet move than the requested grand jeté (a split leap).", "reason_2": "Video 2 correctly depicts the dancer performing a grand jeté, capturing the split-leg leap and mid-air suspension described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Attire Specificity (Leotard vs. Tutu)", "reason_1": "Video 1 generates a stiff, short tutu, which contradicts the prompt's request for a 'flowing white leotard'.", "reason_2": "Video 2 generates a costume that, while still having some volume, is much closer to a flowing leotard style than the rigid tutu in Video 1.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting (Sunlight & Shadows)", "reason_1": "Video 1 features a sunlit studio, but the lighting is somewhat flat and lacks the dramatic 'long shadows' requested.", "reason_2": "Video 2 captures the 'golden sunlight' and 'long shadows' more effectively, creating a stronger contrast between the subject and the background.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 aligns with the prompt's core requirements regarding the specific dance move and costume, whereas Video 1 fails on both counts.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Face & Limbs)", "reason_1": "Video 1 suffers from severe facial distortion and morphing throughout the clip, breaking the illusion of a 'professional dancer'.", "reason_2": "Video 2 maintains a consistent and recognizable human form with a stable face and limbs throughout the motion.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Weight", "reason_1": "The spinning motion in Video 1 feels slightly floaty and lacks the grounded sense of friction and weight transfer.", "reason_2": "Video 2 conveys a better sense of momentum and gravity during the leap, making the movement feel more physically plausible.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "The video has a slightly softer focus and lower perceived resolution compared to Video 2.", "reason_2": "The subject and background are rendered with higher sharpness and better definition of edges.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 maintains a stable human form, whereas Video 1 exhibits significant facial distortion and morphing artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Ethereal Quality)", "reason_1": "The flat lighting and stiff costume in Video 1 fail to evoke the 'ethereal' quality requested.", "reason_2": "The use of backlighting and the graceful pose in Video 2 successfully creates the airy, ethereal ambiance described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing is functional but standard, keeping the subject in the center without much artistic flair.", "reason_2": "The framing allows for the full extension of the limbs during the jump, enhancing the aesthetic appeal of the silhouette.", "score_1": 4, "score_2": 6}, {"name": "Expression of Grace & Strength", "reason_1": "The facial artifacts and stiff movement detract significantly from the portrayal of grace.", "reason_2": "The fluidity of the leap and the extended arms effectively communicate the requested themes of grace and strength.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'ethereal' and 'graceful' mood significantly better through superior lighting and composition.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it correctly identifies and executes the specific action requested (a grand jeté/leap), whereas Video 1 depicts a pirouette (spin). Furthermore, Video 2 demonstrates superior anatomical stability, particularly in the face, and captures the requested lighting atmosphere more effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 58.718} +{"pair_id": "080_seed_310", "sample_index": 80, "seed": 310, "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_310_A mesmerizing flame wisp glowing with ethereal lig.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_310_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_310_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_310_A mesmerizing flame wisp glowing with ethereal lig.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition (Flame Wisp)\", \"reason_1\": \"Video 1 clearly renders a central flame entity that glows and moves, acting as the distinct protagonist described in the prompt.\", \"reason_2\": \"Video 2 fails to generate a distinct wisp; the 'flame' appears as random, incoherent light artifacts and fire effects that do not form a cohesive subject.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Market & Stalls)\", \"reason_1\": \"The video displays recognizable stalls, fabrics, and goods with distinct textures and colors, matching the 'bustling market' description.\", \"reason_2\": \"The environment is a blurry, morphing mess where stalls and goods are indistinguishable from the background noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Lighting (Lanterns & Glow)\", \"reason_1\": \"Video 1 successfully captures the 'warm, golden glow' of lanterns and the starry night sky, creating the requested magical atmosphere.\", \"reason_2\": \"While there is light, it is chaotic and lacks the specific 'warm, golden' atmospheric quality, appearing more like visual glitching.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific elements of the prompt, including the flame wisp, the market stalls, and the lighting. Video 2 fails to render a distinct wisp and the environment is too distorted to identify specific details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Objects and people in Video 1 maintain their shape and identity throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and morphing; characters and structures constantly shift shape and dissolve into one another.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear edges and defined textures.\", \"reason_2\": \"The video is extremely blurry and low-resolution, making it difficult to discern any details.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement of the wisp and the camera is smooth and logical.\", \"reason_2\": \"The motion is jerky and unnatural, with the entire scene warping rather than objects moving within it.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability and clarity. Video 2 is plagued by severe artifacts, blurring, and temporal incoherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Tracking & Intent\", \"reason_1\": \"The camera effectively follows the flame wisp's path, creating the 'captivating dance' described in the prompt.\", \"reason_2\": \"The camera movement feels random and disorienting, failing to track any specific subject effectively.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Composition & Color\", \"reason_1\": \"The composition is balanced, with a pleasing color palette of warm oranges and cool blues that fits the fantasy genre.\", \"reason_2\": \"The colors are muddy and the composition is cluttered and confusing due to the visual artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Fantasy Immersion\", \"reason_1\": \"The video successfully transports the viewer to a fantasy setting.\", \"reason_2\": \"The immersion is broken immediately by the low quality and glitchy visuals.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 offers a pleasing, cinematic experience with intentional camera work. Video 2 is visually unpleasant and chaotic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every aspect, presenting a coherent, high-resolution visualization of the prompt with a clearly defined flame wisp and a detailed market environment. Video 2 suffers from severe morphological instability, low resolution, and a lack of a distinct subject, resulting in a chaotic and blurry visual experience.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition (Flame Wisp)", "reason_1": "Video 1 clearly renders a central flame entity that glows and moves, acting as the distinct protagonist described in the prompt.", "reason_2": "Video 2 fails to generate a distinct wisp; the 'flame' appears as random, incoherent light artifacts and fire effects that do not form a cohesive subject.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Market & Stalls)", "reason_1": "The video displays recognizable stalls, fabrics, and goods with distinct textures and colors, matching the 'bustling market' description.", "reason_2": "The environment is a blurry, morphing mess where stalls and goods are indistinguishable from the background noise.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Lighting (Lanterns & Glow)", "reason_1": "Video 1 successfully captures the 'warm, golden glow' of lanterns and the starry night sky, creating the requested magical atmosphere.", "reason_2": "While there is light, it is chaotic and lacks the specific 'warm, golden' atmospheric quality, appearing more like visual glitching.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific elements of the prompt, including the flame wisp, the market stalls, and the lighting. Video 2 fails to render a distinct wisp and the environment is too distorted to identify specific details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Objects and people in Video 1 maintain their shape and identity throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and morphing; characters and structures constantly shift shape and dissolve into one another.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear edges and defined textures.", "reason_2": "The video is extremely blurry and low-resolution, making it difficult to discern any details.", "score_1": 9, "score_2": 1}, {"name": "Motion Coherence", "reason_1": "The movement of the wisp and the camera is smooth and logical.", "reason_2": "The motion is jerky and unnatural, with the entire scene warping rather than objects moving within it.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability and clarity. Video 2 is plagued by severe artifacts, blurring, and temporal incoherence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Tracking & Intent", "reason_1": "The camera effectively follows the flame wisp's path, creating the 'captivating dance' described in the prompt.", "reason_2": "The camera movement feels random and disorienting, failing to track any specific subject effectively.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Composition & Color", "reason_1": "The composition is balanced, with a pleasing color palette of warm oranges and cool blues that fits the fantasy genre.", "reason_2": "The colors are muddy and the composition is cluttered and confusing due to the visual artifacts.", "score_1": 8, "score_2": 2}, {"name": "Fantasy Immersion", "reason_1": "The video successfully transports the viewer to a fantasy setting.", "reason_2": "The immersion is broken immediately by the low quality and glitchy visuals.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 offers a pleasing, cinematic experience with intentional camera work. Video 2 is visually unpleasant and chaotic.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every aspect, presenting a coherent, high-resolution visualization of the prompt with a clearly defined flame wisp and a detailed market environment. Video 2 suffers from severe morphological instability, low resolution, and a lack of a distinct subject, resulting in a chaotic and blurry visual experience.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 56.174} +{"pair_id": "083_seed_42", "sample_index": 83, "seed": 42, "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_42_The camera captures the ethereal northern lights s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Aurora Color Palette (Green, Purple, Blue)\", \"reason_1\": \"Video 1 is almost entirely monochromatic green, failing to render the requested purple and blue hues.\", \"reason_2\": \"Video 2 clearly displays the requested mix of green, purple, and blue, creating a more vibrant and accurate representation of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Reflection (Mirror-like Lake)\", \"reason_1\": \"The reflection in Video 1 is present but muddy and lacks the distinct 'mirror-like' quality requested.\", \"reason_2\": \"Video 2 features a sharp, clear reflection on the frozen lake that accurately mirrors the sky's colors, fulfilling the 'doubles the spectacle' requirement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Landscape Detail (Snow Mounds & Mountains)\", \"reason_1\": \"Video 1 depicts the mountains and snow, but the foreground lacks the specific 'gentle mounds' detail, appearing flatter.\", \"reason_2\": \"Video 2 renders distinct snow mounds in the foreground that glisten as described, adding better depth to the horizon.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific color palette and environmental details requested in the prompt much more accurately than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is somewhat soft and lacks definition in the snow textures and distant stars.\", \"reason_2\": \"The video is crisp with high contrast, making the stars look like 'scattered diamonds' and the snow texture distinct.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Fluidity (Graceful Swirl)\", \"reason_1\": \"The motion of the aurora is smooth and consistent, though somewhat slow.\", \"reason_2\": \"The motion is equally smooth, capturing the 'graceful' nature of the lights without jitter.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Lighting Interaction & Glisten\", \"reason_1\": \"The lighting feels flat, with the snow not interacting dynamically with the light source.\", \"reason_2\": \"The lighting is dynamic, with the snow mounds appearing to 'glisten' under the changing colors of the aurora.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers superior sharpness, contrast, and texture definition compared to the softer, flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Magical & Ethereal)\", \"reason_1\": \"The monochromatic green palette makes the scene feel standard rather than magical or ethereal.\", \"reason_2\": \"The blend of colors and the sparkling stars create a truly 'magical' and 'ethereal' atmosphere that elevates the aesthetic appeal.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Depth\", \"reason_1\": \"The composition is decent but feels a bit empty in the foreground.\", \"reason_2\": \"The framing uses the foreground snow mounds and the distant mountains effectively to create a strong sense of depth.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"While competent, it lacks the 'wow' factor due to limited color range and lower contrast.\", \"reason_2\": \"The video is visually striking, with vibrant colors and high contrast that make it highly engaging to watch.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully evokes the 'magical' and 'ethereal' mood through better color grading and composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in semantic accuracy, particularly regarding the color palette and environmental details. While Video 1 is predominantly monochromatic green, Video 2 successfully renders the requested mix of green, purple, and blue hues. Furthermore, Video 2 provides a much clearer 'mirror-like' reflection on the frozen lake and distinct 'glistening' snow mounds, whereas Video 1 appears flatter and less detailed.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Aurora Color Palette (Green, Purple, Blue)", "reason_1": "Video 1 is almost entirely monochromatic green, failing to render the requested purple and blue hues.", "reason_2": "Video 2 clearly displays the requested mix of green, purple, and blue, creating a more vibrant and accurate representation of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Reflection (Mirror-like Lake)", "reason_1": "The reflection in Video 1 is present but muddy and lacks the distinct 'mirror-like' quality requested.", "reason_2": "Video 2 features a sharp, clear reflection on the frozen lake that accurately mirrors the sky's colors, fulfilling the 'doubles the spectacle' requirement.", "score_1": 3, "score_2": 7}, {"name": "Landscape Detail (Snow Mounds & Mountains)", "reason_1": "Video 1 depicts the mountains and snow, but the foreground lacks the specific 'gentle mounds' detail, appearing flatter.", "reason_2": "Video 2 renders distinct snow mounds in the foreground that glisten as described, adding better depth to the horizon.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific color palette and environmental details requested in the prompt much more accurately than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is somewhat soft and lacks definition in the snow textures and distant stars.", "reason_2": "The video is crisp with high contrast, making the stars look like 'scattered diamonds' and the snow texture distinct.", "score_1": 3, "score_2": 7}, {"name": "Motion Fluidity (Graceful Swirl)", "reason_1": "The motion of the aurora is smooth and consistent, though somewhat slow.", "reason_2": "The motion is equally smooth, capturing the 'graceful' nature of the lights without jitter.", "score_1": 5, "score_2": 5}, {"name": "Lighting Interaction & Glisten", "reason_1": "The lighting feels flat, with the snow not interacting dynamically with the light source.", "reason_2": "The lighting is dynamic, with the snow mounds appearing to 'glisten' under the changing colors of the aurora.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers superior sharpness, contrast, and texture definition compared to the softer, flatter look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Magical & Ethereal)", "reason_1": "The monochromatic green palette makes the scene feel standard rather than magical or ethereal.", "reason_2": "The blend of colors and the sparkling stars create a truly 'magical' and 'ethereal' atmosphere that elevates the aesthetic appeal.", "score_1": 2, "score_2": 8}, {"name": "Composition & Depth", "reason_1": "The composition is decent but feels a bit empty in the foreground.", "reason_2": "The framing uses the foreground snow mounds and the distant mountains effectively to create a strong sense of depth.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "While competent, it lacks the 'wow' factor due to limited color range and lower contrast.", "reason_2": "The video is visually striking, with vibrant colors and high contrast that make it highly engaging to watch.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully evokes the 'magical' and 'ethereal' mood through better color grading and composition.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in semantic accuracy, particularly regarding the color palette and environmental details. While Video 1 is predominantly monochromatic green, Video 2 successfully renders the requested mix of green, purple, and blue hues. Furthermore, Video 2 provides a much clearer 'mirror-like' reflection on the frozen lake and distinct 'glistening' snow mounds, whereas Video 1 appears flatter and less detailed.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 57.198} +{"pair_id": "085_seed_930", "sample_index": 85, "seed": 930, "prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_930_The camera glides through a majestic glacial canyo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_930_The camera glides through a majestic glacial canyo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_930_The camera glides through a majestic glacial canyo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_930_The camera glides through a majestic glacial canyo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Sequential Landscape Completeness\", \"reason_1\": \"Video 1 clearly depicts the glacial canyon, the cloudscape, the forest, and the desert in the correct order.\", \"reason_2\": \"Video 2 fails to clearly depict the glacial canyon (showing only abstract shapes) and the transition to the desert is muddy and unclear.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Colors & Textures)\", \"reason_1\": \"Video 1 accurately renders 'glistening' ice, 'muted green' leaves, and 'rolling dunes' with the requested pastel palette.\", \"reason_2\": \"Video 2 lacks texture definition; the ice looks like melted plastic, and the trees are indistinguishable from the background noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Specificity (Gliding/Soaring)\", \"reason_1\": \"The camera in Video 1 moves with a smooth, gliding sensation that matches the 'soaring' description.\", \"reason_2\": \"Video 2 features jerky, unstable camera movement that disrupts the sense of a 'glide'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully renders all four distinct environments in the correct sequence, whereas Video 2 fails to clearly depict the initial glacial canyon and struggles with the subsequent transitions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, clear, and high-resolution throughout the clip.\", \"reason_2\": \"The video is extremely blurry, pixelated, and lacks basic definition.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects maintain their shape and structure consistently during the camera movement.\", \"reason_2\": \"The environment in Video 2 constantly warps and morphs unnaturally, lacking physical solidity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion is fluid and consistent, free from stuttering.\", \"reason_2\": \"The motion is jittery and inconsistent, creating a jarring viewing experience.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a high level of visual fidelity and stability, while Video 2 is plagued by blurriness, low resolution, and severe morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Dreamlike/Ethereal)\", \"reason_1\": \"Video 1 perfectly captures the 'ethereal beauty' and 'dreamlike' quality with its soft lighting and pastel hues.\", \"reason_2\": \"Video 2 fails to establish any mood other than confusion due to its poor technical quality.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Palette Harmony\", \"reason_1\": \"The muted pinks, purples, and greens are blended harmoniously, tying the scenes together as requested.\", \"reason_2\": \"The colors are washed out and muddy, lacking the specific 'pastel' and 'muted' aesthetic requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow & Transition Logic\", \"reason_1\": \"The transitions between biomes feel intentional and cinematic, creating a cohesive journey.\", \"reason_2\": \"The transitions are abrupt and confusing, feeling more like a glitch than a narrative shift.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully creates the 'dreamlike' and 'harmonious' atmosphere requested, utilizing a consistent color palette. Video 2 fails to evoke the intended mood due to its chaotic visual presentation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the complex multi-stage narrative (Canyon -> Clouds -> Forest -> Desert) with high visual fidelity and a cohesive aesthetic. It captures the specific atmospheric requirements (pastel colors, ethereal lighting) and maintains smooth camera motion. Video 2 suffers from severe quality degradation, failing to render the initial glacial scene recognizably and lacking the visual clarity and stability required to convey the dreamlike narrative.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Sequential Landscape Completeness", "reason_1": "Video 1 clearly depicts the glacial canyon, the cloudscape, the forest, and the desert in the correct order.", "reason_2": "Video 2 fails to clearly depict the glacial canyon (showing only abstract shapes) and the transition to the desert is muddy and unclear.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Colors & Textures)", "reason_1": "Video 1 accurately renders 'glistening' ice, 'muted green' leaves, and 'rolling dunes' with the requested pastel palette.", "reason_2": "Video 2 lacks texture definition; the ice looks like melted plastic, and the trees are indistinguishable from the background noise.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Specificity (Gliding/Soaring)", "reason_1": "The camera in Video 1 moves with a smooth, gliding sensation that matches the 'soaring' description.", "reason_2": "Video 2 features jerky, unstable camera movement that disrupts the sense of a 'glide'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully renders all four distinct environments in the correct sequence, whereas Video 2 fails to clearly depict the initial glacial canyon and struggles with the subsequent transitions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, clear, and high-resolution throughout the clip.", "reason_2": "The video is extremely blurry, pixelated, and lacks basic definition.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Objects maintain their shape and structure consistently during the camera movement.", "reason_2": "The environment in Video 2 constantly warps and morphs unnaturally, lacking physical solidity.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The motion is fluid and consistent, free from stuttering.", "reason_2": "The motion is jittery and inconsistent, creating a jarring viewing experience.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a high level of visual fidelity and stability, while Video 2 is plagued by blurriness, low resolution, and severe morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Dreamlike/Ethereal)", "reason_1": "Video 1 perfectly captures the 'ethereal beauty' and 'dreamlike' quality with its soft lighting and pastel hues.", "reason_2": "Video 2 fails to establish any mood other than confusion due to its poor technical quality.", "score_1": 9, "score_2": 1}, {"name": "Color Palette Harmony", "reason_1": "The muted pinks, purples, and greens are blended harmoniously, tying the scenes together as requested.", "reason_2": "The colors are washed out and muddy, lacking the specific 'pastel' and 'muted' aesthetic requested.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow & Transition Logic", "reason_1": "The transitions between biomes feel intentional and cinematic, creating a cohesive journey.", "reason_2": "The transitions are abrupt and confusing, feeling more like a glitch than a narrative shift.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully creates the 'dreamlike' and 'harmonious' atmosphere requested, utilizing a consistent color palette. Video 2 fails to evoke the intended mood due to its chaotic visual presentation.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the complex multi-stage narrative (Canyon -> Clouds -> Forest -> Desert) with high visual fidelity and a cohesive aesthetic. It captures the specific atmospheric requirements (pastel colors, ethereal lighting) and maintains smooth camera motion. Video 2 suffers from severe quality degradation, failing to render the initial glacial scene recognizably and lacking the visual clarity and stability required to convey the dreamlike narrative.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 58.336} +{"pair_id": "088_seed_310", "sample_index": 88, "seed": 310, "prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_310_The camera zooms into a dandelion at hyperspeed re.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_310_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_310_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_310_The camera zooms into a dandelion at hyperspeed re.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric & Color Fidelity\", \"reason_1\": \"Video 1 presents a standard naturalistic green and white palette, completely missing the 'golden glow' and 'dreamlike atmosphere' requested.\", \"reason_2\": \"Video 2 perfectly renders the 'gentle, golden glow' and 'ethereal' atmosphere, creating the exact mood described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Surreal Element Generation\", \"reason_1\": \"Video 1 contains no surreal elements; it is a literal, realistic depiction of a dandelion with no 'floating islands' or 'shimmering structures'.\", \"reason_2\": \"Video 2 generates 'shimmering, translucent structures' and 'luminescent particles' that align well with the abstract and surreal nature of the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Adherence (Hyperspeed Zoom)\", \"reason_1\": \"Video 1 fails to execute the 'hyperspeed zoom', offering only a slight, slow camera drift.\", \"reason_2\": \"Video 2 also fails the 'hyperspeed zoom' instruction, presenting a mostly static shot with internal motion rather than a camera movement.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the specific atmospheric and stylistic requirements (golden glow, ethereal, shimmering structures), whereas Video 1 ignores the fantasy elements entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is somewhat soft and lacks the crisp definition expected of a high-quality generation.\", \"reason_2\": \"Video 2 maintains high clarity and sharpness, particularly in the rendering of the light particles and seed textures.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Particle & Light Dynamics\", \"reason_1\": \"Video 1 lacks dynamic lighting or particle effects, resulting in a flat visual experience.\", \"reason_2\": \"Video 2 excels in rendering the 'mesmerizing dance of light and shadow' with smooth, high-quality particle effects.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 is stable but the motion is minimal, making it easier to maintain stability.\", \"reason_2\": \"Video 2 maintains stability despite the complex lighting and particle effects, with no significant flickering or morphing artifacts.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior visual fidelity, sharpness, and dynamic lighting effects compared to the softer, flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Aesthetic Style (Ethereal/Dreamlike)\", \"reason_1\": \"Video 1 has a documentary-style aesthetic that contradicts the 'abstract world' and 'surreal landscape' description.\", \"reason_2\": \"Video 2 successfully establishes a 'dreamlike' and 'magical' aesthetic that fits the narrative intent of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact (Wonder & Tranquility)\", \"reason_1\": \"Video 1 evokes no specific emotion beyond a neutral observation of nature.\", \"reason_2\": \"Video 2 effectively conveys a sense of 'wonder and tranquility' through its warm color palette and graceful motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a standard macro framing that feels slightly cluttered.\", \"reason_2\": \"Video 2 uses a centered, balanced composition that highlights the 'inner world' of the dandelion effectively.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 creates a compelling, magical aesthetic that evokes the requested emotions of wonder and tranquility, while Video 1 lacks artistic interpretation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully captures the 'ethereal,' 'golden glow,' and 'surreal' aesthetic described in the prompt. While both videos fail to execute the specific 'hyperspeed zoom' and 'transformation into floating islands' narrative, Video 2 provides the correct atmospheric lighting, particle effects, and dreamlike mood. Video 1 is a generic, realistic macro shot that completely ignores the fantasy and abstract elements required by the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric & Color Fidelity", "reason_1": "Video 1 presents a standard naturalistic green and white palette, completely missing the 'golden glow' and 'dreamlike atmosphere' requested.", "reason_2": "Video 2 perfectly renders the 'gentle, golden glow' and 'ethereal' atmosphere, creating the exact mood described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Surreal Element Generation", "reason_1": "Video 1 contains no surreal elements; it is a literal, realistic depiction of a dandelion with no 'floating islands' or 'shimmering structures'.", "reason_2": "Video 2 generates 'shimmering, translucent structures' and 'luminescent particles' that align well with the abstract and surreal nature of the prompt.", "score_1": 1, "score_2": 9}, {"name": "Action Adherence (Hyperspeed Zoom)", "reason_1": "Video 1 fails to execute the 'hyperspeed zoom', offering only a slight, slow camera drift.", "reason_2": "Video 2 also fails the 'hyperspeed zoom' instruction, presenting a mostly static shot with internal motion rather than a camera movement.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the specific atmospheric and stylistic requirements (golden glow, ethereal, shimmering structures), whereas Video 1 ignores the fantasy elements entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is somewhat soft and lacks the crisp definition expected of a high-quality generation.", "reason_2": "Video 2 maintains high clarity and sharpness, particularly in the rendering of the light particles and seed textures.", "score_1": 3, "score_2": 7}, {"name": "Particle & Light Dynamics", "reason_1": "Video 1 lacks dynamic lighting or particle effects, resulting in a flat visual experience.", "reason_2": "Video 2 excels in rendering the 'mesmerizing dance of light and shadow' with smooth, high-quality particle effects.", "score_1": 2, "score_2": 8}, {"name": "Temporal Stability", "reason_1": "Video 1 is stable but the motion is minimal, making it easier to maintain stability.", "reason_2": "Video 2 maintains stability despite the complex lighting and particle effects, with no significant flickering or morphing artifacts.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior visual fidelity, sharpness, and dynamic lighting effects compared to the softer, flatter look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Aesthetic Style (Ethereal/Dreamlike)", "reason_1": "Video 1 has a documentary-style aesthetic that contradicts the 'abstract world' and 'surreal landscape' description.", "reason_2": "Video 2 successfully establishes a 'dreamlike' and 'magical' aesthetic that fits the narrative intent of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact (Wonder & Tranquility)", "reason_1": "Video 1 evokes no specific emotion beyond a neutral observation of nature.", "reason_2": "Video 2 effectively conveys a sense of 'wonder and tranquility' through its warm color palette and graceful motion.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a standard macro framing that feels slightly cluttered.", "reason_2": "Video 2 uses a centered, balanced composition that highlights the 'inner world' of the dandelion effectively.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 creates a compelling, magical aesthetic that evokes the requested emotions of wonder and tranquility, while Video 1 lacks artistic interpretation.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully captures the 'ethereal,' 'golden glow,' and 'surreal' aesthetic described in the prompt. While both videos fail to execute the specific 'hyperspeed zoom' and 'transformation into floating islands' narrative, Video 2 provides the correct atmospheric lighting, particle effects, and dreamlike mood. Video 1 is a generic, realistic macro shot that completely ignores the fantasy and abstract elements required by the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 60.433} +{"pair_id": "091_seed_42", "sample_index": 91, "seed": 42, "prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_42_A thrilling first-person perspective races through.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Progression (City to Digital Transition)\", \"reason_1\": \"Video 1 remains a static cityscape loop throughout the entire clip, completely failing to execute the requested transition into a digital realm.\", \"reason_2\": \"Video 2 executes a clear, dramatic shift where the physical buildings dissolve into abstract lines and light, perfectly matching the 'transition seamlessly into a digital realm' instruction.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Crowds & Holograms)\", \"reason_1\": \"Video 1 depicts a city, but the 'bustling crowds' are indistinct and the holographic ads are generic neon blurs.\", \"reason_2\": \"Video 2 features more distinct, albeit stylized, holographic elements and a sense of a 'living' street before the transition, aligning better with the prompt's descriptive density.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Urgency (Speed & Blur)\", \"reason_1\": \"Video 1 conveys speed, but the motion blur feels like a standard filter rather than a dynamic effect of acceleration.\", \"reason_2\": \"Video 2 uses the 'dynamic blur effects' explicitly mentioned in the prompt to create a tunnel-vision effect that enhances the sensation of urgency.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the prompt's narrative arc, specifically the transition from a physical city to a digital realm. Video 1 failed to generate the second half of the prompt entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is heavily pixelated and blurry, lacking definition in the buildings and lights.\", \"reason_2\": \"The image is crisp, with well-defined edges on the skyscrapers and distinct colors in the neon lights.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The motion is somewhat jerky and the frame rate feels inconsistent during the fast-forward segments.\", \"reason_2\": \"The camera movement is fluid and consistent, maintaining a smooth forward trajectory even during the high-speed transition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting & Color Vibrancy\", \"reason_1\": \"Colors are washed out and muddy, lacking the 'vibrant' quality requested.\", \"reason_2\": \"The neon colors are saturated and glowing, creating a strong contrast that fits the cyberpunk aesthetic perfectly.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a much cleaner, sharper image with vibrant colors, whereas Video 1 suffers from significant blur, low resolution, and muddy textures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Immersive Sensation of Speed\", \"reason_1\": \"The speed feels mechanical and lacks the 'thrilling' quality requested.\", \"reason_2\": \"The combination of the tunnel effect and the dissolving environment creates a highly immersive, exhilarating sensation of racing.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cyberpunk Aesthetic Interpretation\", \"reason_1\": \"The aesthetic is generic and lacks the high-tech, futuristic polish associated with the genre.\", \"reason_2\": \"The video successfully captures the sleek, neon-soaked, high-tech look of a cyberpunk city.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"The composition is standard but marred by the lack of detail in the peripheral vision.\", \"reason_2\": \"The central perspective is strong, drawing the eye effectively toward the vanishing point and the transition zone.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 creates a much more immersive and aesthetically pleasing experience, effectively using the 'warp speed' visual language to convey the narrative shift.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Special Effects & Abstract Rendering\", \"dims\": [{\"name\": \"Digital Realm Visualization\", \"reason_1\": \"Video 1 contains zero elements of a digital realm or code streams.\", \"reason_2\": \"Video 2 transforms the environment into a 'tapestry of light' with streaks that resemble data streams, fulfilling the prompt's creative demand.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Transition Effect Execution\", \"reason_1\": \"There is no transition effect present.\", \"reason_2\": \"The transition is handled via a morphing blur effect that feels intentional and stylistically coherent with the 'digital' theme.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Abstract Data Representation\", \"reason_1\": \"No abstract elements are present.\", \"reason_2\": \"The final frames of Video 2 strongly suggest a shift to abstract data or information streams, aligning with the 'swirling streams of code' description.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"This personalized category evaluates the specific 'digital realm' and 'code streams' requirements. Video 2 attempts this; Video 1 does not.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully executes the critical narrative transition from a physical city to a digital realm, which Video 1 completely ignores. Video 2 also demonstrates superior visual fidelity, sharper details, and a more effective use of motion blur to convey the requested sensation of speed and urgency.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Progression (City to Digital Transition)", "reason_1": "Video 1 remains a static cityscape loop throughout the entire clip, completely failing to execute the requested transition into a digital realm.", "reason_2": "Video 2 executes a clear, dramatic shift where the physical buildings dissolve into abstract lines and light, perfectly matching the 'transition seamlessly into a digital realm' instruction.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Crowds & Holograms)", "reason_1": "Video 1 depicts a city, but the 'bustling crowds' are indistinct and the holographic ads are generic neon blurs.", "reason_2": "Video 2 features more distinct, albeit stylized, holographic elements and a sense of a 'living' street before the transition, aligning better with the prompt's descriptive density.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Urgency (Speed & Blur)", "reason_1": "Video 1 conveys speed, but the motion blur feels like a standard filter rather than a dynamic effect of acceleration.", "reason_2": "Video 2 uses the 'dynamic blur effects' explicitly mentioned in the prompt to create a tunnel-vision effect that enhances the sensation of urgency.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the prompt's narrative arc, specifically the transition from a physical city to a digital realm. Video 1 failed to generate the second half of the prompt entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is heavily pixelated and blurry, lacking definition in the buildings and lights.", "reason_2": "The image is crisp, with well-defined edges on the skyscrapers and distinct colors in the neon lights.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Stability", "reason_1": "The motion is somewhat jerky and the frame rate feels inconsistent during the fast-forward segments.", "reason_2": "The camera movement is fluid and consistent, maintaining a smooth forward trajectory even during the high-speed transition.", "score_1": 3, "score_2": 7}, {"name": "Lighting & Color Vibrancy", "reason_1": "Colors are washed out and muddy, lacking the 'vibrant' quality requested.", "reason_2": "The neon colors are saturated and glowing, creating a strong contrast that fits the cyberpunk aesthetic perfectly.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a much cleaner, sharper image with vibrant colors, whereas Video 1 suffers from significant blur, low resolution, and muddy textures.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Immersive Sensation of Speed", "reason_1": "The speed feels mechanical and lacks the 'thrilling' quality requested.", "reason_2": "The combination of the tunnel effect and the dissolving environment creates a highly immersive, exhilarating sensation of racing.", "score_1": 3, "score_2": 7}, {"name": "Cyberpunk Aesthetic Interpretation", "reason_1": "The aesthetic is generic and lacks the high-tech, futuristic polish associated with the genre.", "reason_2": "The video successfully captures the sleek, neon-soaked, high-tech look of a cyberpunk city.", "score_1": 3, "score_2": 7}, {"name": "Visual Composition & Framing", "reason_1": "The composition is standard but marred by the lack of detail in the peripheral vision.", "reason_2": "The central perspective is strong, drawing the eye effectively toward the vanishing point and the transition zone.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 creates a much more immersive and aesthetically pleasing experience, effectively using the 'warp speed' visual language to convey the narrative shift.", "cat_winner": "Video 2"}, {"name": "D. Special Effects & Abstract Rendering", "dims": [{"name": "Digital Realm Visualization", "reason_1": "Video 1 contains zero elements of a digital realm or code streams.", "reason_2": "Video 2 transforms the environment into a 'tapestry of light' with streaks that resemble data streams, fulfilling the prompt's creative demand.", "score_1": 1, "score_2": 9}, {"name": "Transition Effect Execution", "reason_1": "There is no transition effect present.", "reason_2": "The transition is handled via a morphing blur effect that feels intentional and stylistically coherent with the 'digital' theme.", "score_1": 1, "score_2": 9}, {"name": "Abstract Data Representation", "reason_1": "No abstract elements are present.", "reason_2": "The final frames of Video 2 strongly suggest a shift to abstract data or information streams, aligning with the 'swirling streams of code' description.", "score_1": 1, "score_2": 9}], "cat_reason": "This personalized category evaluates the specific 'digital realm' and 'code streams' requirements. Video 2 attempts this; Video 1 does not.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully executes the critical narrative transition from a physical city to a digital realm, which Video 1 completely ignores. Video 2 also demonstrates superior visual fidelity, sharper details, and a more effective use of motion blur to convey the requested sensation of speed and urgency.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 30.0, "total_score_2": 90.0, "elapsed_sec": 71.301} +{"pair_id": "093_seed_930", "sample_index": 93, "seed": 930, "prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_930_A vintage teddy bear with worn fur and a stitched.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_930_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_930_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_930_A vintage teddy bear with worn fur and a stitched.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Vintage/Worn/Stitched)\", \"reason_1\": \"Video 1 generates a bear that looks like a modern, clean, 3D animated character (resembling the movie 'Ted'), completely missing the 'vintage' and 'worn' descriptors.\", \"reason_2\": \"Video 2 perfectly renders a bear with realistic, worn fur texture and a visible stitched nose/mouth, aligning precisely with the 'vintage' prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Lace Curtains & Patterns)\", \"reason_1\": \"Video 1 features generic sheer curtains but lacks the specific 'delicate lace' texture and the resulting intricate light patterns requested.\", \"reason_2\": \"Video 2 prominently features heavy lace curtains that diffuse the light beautifully, creating the requested soft, patterned atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Execution (Stretching & Animation)\", \"reason_1\": \"Video 1 shows the bear waving and talking, which is a form of animation, but it feels more like a character performance than the specific 'stretching' described.\", \"reason_2\": \"Video 2 depicts the bear rising and stretching its limbs in a way that feels like a toy coming to life, fitting the 'newfound animation' description well.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately captures the specific descriptive adjectives of the prompt (vintage, worn, stitched), whereas Video 1 ignores them in favor of a generic cartoon style.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Rendering (Fur & Fabric)\", \"reason_1\": \"The fur in Video 1 appears smooth and plastic-like, lacking the tactile depth of real fabric or fur.\", \"reason_2\": \"Video 2 displays exceptional texture quality; the fur looks soft and matted (worn), and the quilt fabric has realistic weave details.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Interaction & Volumetrics\", \"reason_1\": \"Lighting in Video 1 is flat and uniform, failing to capture the 'golden sunlight' streaming through curtains.\", \"reason_2\": \"Video 2 features complex lighting with bloom and diffusion through the lace, creating a realistic and dynamic interplay of light and shadow.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion in Video 1 is smooth but feels like standard character rigging.\", \"reason_2\": \"The motion in Video 2 has a slight stiffness that actually enhances the realism of a 'toy coming to life' rather than a human actor.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior rendering of textures and lighting interactions, creating a believable physical presence compared to the flatter, digital look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Magical/Whimsical)\", \"reason_1\": \"Video 1 feels like a standard sitcom or movie clip, lacking the 'magical' or 'enchanting' mood.\", \"reason_2\": \"Video 2 uses soft focus, warm lighting, and a pastel color palette to successfully evoke a dreamy, magical atmosphere.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Pull Back)\", \"reason_1\": \"Video 1 has a mostly static camera with slight handheld shake, missing the 'slowly pulls back' instruction.\", \"reason_2\": \"Video 2 executes a smooth, slow pull-back (dolly out) that reveals more of the bed and curtains, perfectly matching the prompt's direction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony (Pastel/Golden)\", \"reason_1\": \"The colors in Video 1 are somewhat saturated and standard, lacking the specific 'pastel' softness requested.\", \"reason_2\": \"Video 2 utilizes a cohesive palette of soft pinks, creams, and warm golds, strictly adhering to the 'pastel' and 'golden' requirements.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 excels in establishing the 'magical' and 'whimsical' mood through superior color grading and camera work, whereas Video 1 feels like a standard clip.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully adheres to the specific aesthetic constraints of the prompt, particularly the 'vintage,' 'worn,' and 'stitched' attributes of the bear, which Video 1 fails to capture (rendering a modern, cartoon-like character instead). Furthermore, Video 2 successfully executes the requested camera movement (pull back) and lighting atmosphere (golden sunlight through lace), creating the desired magical mood.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Vintage/Worn/Stitched)", "reason_1": "Video 1 generates a bear that looks like a modern, clean, 3D animated character (resembling the movie 'Ted'), completely missing the 'vintage' and 'worn' descriptors.", "reason_2": "Video 2 perfectly renders a bear with realistic, worn fur texture and a visible stitched nose/mouth, aligning precisely with the 'vintage' prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Lace Curtains & Patterns)", "reason_1": "Video 1 features generic sheer curtains but lacks the specific 'delicate lace' texture and the resulting intricate light patterns requested.", "reason_2": "Video 2 prominently features heavy lace curtains that diffuse the light beautifully, creating the requested soft, patterned atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Action Execution (Stretching & Animation)", "reason_1": "Video 1 shows the bear waving and talking, which is a form of animation, but it feels more like a character performance than the specific 'stretching' described.", "reason_2": "Video 2 depicts the bear rising and stretching its limbs in a way that feels like a toy coming to life, fitting the 'newfound animation' description well.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately captures the specific descriptive adjectives of the prompt (vintage, worn, stitched), whereas Video 1 ignores them in favor of a generic cartoon style.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Rendering (Fur & Fabric)", "reason_1": "The fur in Video 1 appears smooth and plastic-like, lacking the tactile depth of real fabric or fur.", "reason_2": "Video 2 displays exceptional texture quality; the fur looks soft and matted (worn), and the quilt fabric has realistic weave details.", "score_1": 3, "score_2": 7}, {"name": "Lighting Interaction & Volumetrics", "reason_1": "Lighting in Video 1 is flat and uniform, failing to capture the 'golden sunlight' streaming through curtains.", "reason_2": "Video 2 features complex lighting with bloom and diffusion through the lace, creating a realistic and dynamic interplay of light and shadow.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness", "reason_1": "The motion in Video 1 is smooth but feels like standard character rigging.", "reason_2": "The motion in Video 2 has a slight stiffness that actually enhances the realism of a 'toy coming to life' rather than a human actor.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior rendering of textures and lighting interactions, creating a believable physical presence compared to the flatter, digital look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Magical/Whimsical)", "reason_1": "Video 1 feels like a standard sitcom or movie clip, lacking the 'magical' or 'enchanting' mood.", "reason_2": "Video 2 uses soft focus, warm lighting, and a pastel color palette to successfully evoke a dreamy, magical atmosphere.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Pull Back)", "reason_1": "Video 1 has a mostly static camera with slight handheld shake, missing the 'slowly pulls back' instruction.", "reason_2": "Video 2 executes a smooth, slow pull-back (dolly out) that reveals more of the bed and curtains, perfectly matching the prompt's direction.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony (Pastel/Golden)", "reason_1": "The colors in Video 1 are somewhat saturated and standard, lacking the specific 'pastel' softness requested.", "reason_2": "Video 2 utilizes a cohesive palette of soft pinks, creams, and warm golds, strictly adhering to the 'pastel' and 'golden' requirements.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 excels in establishing the 'magical' and 'whimsical' mood through superior color grading and camera work, whereas Video 1 feels like a standard clip.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully adheres to the specific aesthetic constraints of the prompt, particularly the 'vintage,' 'worn,' and 'stitched' attributes of the bear, which Video 1 fails to capture (rendering a modern, cartoon-like character instead). Furthermore, Video 2 successfully executes the requested camera movement (pull back) and lighting atmosphere (golden sunlight through lace), creating the desired magical mood.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 64.312} +{"pair_id": "096_seed_310", "sample_index": 96, "seed": 310, "prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_310_A mesmerizing dancer clad in a flowing crimson dre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_310_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_310_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_310_A mesmerizing dancer clad in a flowing crimson dre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Dress Color)\", \"reason_1\": \"Video 1 renders the dress in a bright pink or magenta shade, which deviates significantly from the requested 'crimson'.\", \"reason_2\": \"Video 2 correctly renders the dress in a deep red/crimson hue, aligning perfectly with the text description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Lighting & Smoke)\", \"reason_1\": \"Video 1 features a very bright, washed-out purple background that lacks the 'dimly lit' and 'dynamic patterns' requested.\", \"reason_2\": \"Video 2 successfully creates a 'dimly lit' stage with distinct beams of light and volumetric smoke, matching the atmospheric prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Specificity (Twirl & Gestures)\", \"reason_1\": \"Video 1 depicts a continuous twirl but lacks the specific 'delicate hand gestures' mentioned, focusing mostly on the spin.\", \"reason_2\": \"Video 2 captures the twirl while also incorporating distinct arm and hand movements that align better with the 'expressive' and 'delicate gestures' requirement.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 adheres much closer to the specific color and atmospheric descriptions in the prompt, particularly regarding the dress color and lighting style.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"The video is soft and lacks definition; the fabric of the dress and the dancer's features appear blurry and low-resolution.\", \"reason_2\": \"The video is sharp, with clear textures visible on the satin dress and distinct definition in the smoke and facial features.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The dancer's face is heavily distorted and lacks a consistent identity throughout the clip.\", \"reason_2\": \"While there is some morphing, the subject's facial features remain more recognizable and consistent compared to Video 1.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Physics & Motion Fluidity\", \"reason_1\": \"The motion is fluid but the dress behaves somewhat like a liquid blob rather than fabric.\", \"reason_2\": \"The dress movement is generally fluid, though it exhibits some unnatural morphing artifacts during the spin.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 offers a much sharper image with better texture definition, whereas Video 1 suffers from significant blurriness and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Contrast\", \"reason_1\": \"The lighting is flat and uniform, lacking the dramatic contrast implied by 'dimly lit stage' and 'fiery oranges'.\", \"reason_2\": \"The lighting is dramatic, with strong contrast between the dark background and the light beams, creating a professional cinematic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact (Passion & Intensity)\", \"reason_1\": \"Due to the facial distortion and flat lighting, the video fails to convey the requested 'passion and intensity'.\", \"reason_2\": \"The combination of the dancer's expression, the dramatic lighting, and the sharp visuals effectively conveys the requested intensity.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video looks like a lower-quality generation with washed-out colors and blur.\", \"reason_2\": \"The video is visually striking, with rich colors and a clear, engaging composition.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'mesmerizing' and 'dramatic' mood requested by the prompt through superior lighting and contrast.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, color accuracy, and atmospheric rendering. While Video 1 presents a pinkish dress in a flatly lit environment, Video 2 correctly renders the 'crimson' dress and creates a dramatic, high-contrast stage environment with volumetric lighting that matches the prompt's request for a 'dimly lit stage' and 'dynamic patterns'. Video 2 also maintains better subject definition and facial clarity compared to the blurry and distorted presentation in Video 1.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Dress Color)", "reason_1": "Video 1 renders the dress in a bright pink or magenta shade, which deviates significantly from the requested 'crimson'.", "reason_2": "Video 2 correctly renders the dress in a deep red/crimson hue, aligning perfectly with the text description.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Lighting & Smoke)", "reason_1": "Video 1 features a very bright, washed-out purple background that lacks the 'dimly lit' and 'dynamic patterns' requested.", "reason_2": "Video 2 successfully creates a 'dimly lit' stage with distinct beams of light and volumetric smoke, matching the atmospheric prompt.", "score_1": 3, "score_2": 7}, {"name": "Action Specificity (Twirl & Gestures)", "reason_1": "Video 1 depicts a continuous twirl but lacks the specific 'delicate hand gestures' mentioned, focusing mostly on the spin.", "reason_2": "Video 2 captures the twirl while also incorporating distinct arm and hand movements that align better with the 'expressive' and 'delicate gestures' requirement.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 adheres much closer to the specific color and atmospheric descriptions in the prompt, particularly regarding the dress color and lighting style.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Definition", "reason_1": "The video is soft and lacks definition; the fabric of the dress and the dancer's features appear blurry and low-resolution.", "reason_2": "The video is sharp, with clear textures visible on the satin dress and distinct definition in the smoke and facial features.", "score_1": 2, "score_2": 8}, {"name": "Subject Identity Persistence", "reason_1": "The dancer's face is heavily distorted and lacks a consistent identity throughout the clip.", "reason_2": "While there is some morphing, the subject's facial features remain more recognizable and consistent compared to Video 1.", "score_1": 3, "score_2": 7}, {"name": "Physics & Motion Fluidity", "reason_1": "The motion is fluid but the dress behaves somewhat like a liquid blob rather than fabric.", "reason_2": "The dress movement is generally fluid, though it exhibits some unnatural morphing artifacts during the spin.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 offers a much sharper image with better texture definition, whereas Video 1 suffers from significant blurriness and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Contrast", "reason_1": "The lighting is flat and uniform, lacking the dramatic contrast implied by 'dimly lit stage' and 'fiery oranges'.", "reason_2": "The lighting is dramatic, with strong contrast between the dark background and the light beams, creating a professional cinematic look.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact (Passion & Intensity)", "reason_1": "Due to the facial distortion and flat lighting, the video fails to convey the requested 'passion and intensity'.", "reason_2": "The combination of the dancer's expression, the dramatic lighting, and the sharp visuals effectively conveys the requested intensity.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video looks like a lower-quality generation with washed-out colors and blur.", "reason_2": "The video is visually striking, with rich colors and a clear, engaging composition.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'mesmerizing' and 'dramatic' mood requested by the prompt through superior lighting and contrast.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, color accuracy, and atmospheric rendering. While Video 1 presents a pinkish dress in a flatly lit environment, Video 2 correctly renders the 'crimson' dress and creates a dramatic, high-contrast stage environment with volumetric lighting that matches the prompt's request for a 'dimly lit stage' and 'dynamic patterns'. Video 2 also maintains better subject definition and facial clarity compared to the blurry and distorted presentation in Video 1.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 64.282} +{"pair_id": "099_seed_42", "sample_index": 99, "seed": 42, "prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_42_In a sunlit studio a painter with tousled hair and.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_42_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_42_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_42_In a sunlit studio a painter with tousled hair and.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Tool Specificity (Palette Knife vs. Brush)\", \"reason_1\": \"Video 1 completely ignores the prompt's instruction to use a 'palette knife', instead showing a standard paintbrush.\", \"reason_2\": \"Video 2 correctly generates a palette knife and depicts the artist using it to spread paint, aligning perfectly with the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Attributes (Focused Expression)\", \"reason_1\": \"Video 1 shows the subject mostly from behind; the 'focused expression' is not visible or verifiable.\", \"reason_2\": \"Video 2 provides a clear side profile of the artist, distinctly showing the 'focused expression' and 'tousled hair' as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Logic (Blending & Movement)\", \"reason_1\": \"The painting action in Video 1 is generic and lacks the specific 'blending' motion associated with a palette knife.\", \"reason_2\": \"Video 2 accurately depicts the scraping and blending motion characteristic of palette knife painting.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the specific tool and attribute instructions, whereas Video 1 failed to generate the correct tool and obscured the subject's expression.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity (Impasto & Depth)\", \"reason_1\": \"The paint on the canvas in Video 1 appears flat and digital, lacking the requested 'texture and depth'.\", \"reason_2\": \"Video 2 renders the paint with high-quality 3D depth (impasto), making the brushstrokes look physically tangible and realistic.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Interaction Physics (Tool on Canvas)\", \"reason_1\": \"The brush movement in Video 1 feels slightly disconnected from the canvas surface, with less convincing contact shadows.\", \"reason_2\": \"Video 2 shows realistic interaction between the knife and the canvas, with paint appearing to physically displace.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 is adequately clear but has a slightly softer, more artificial look.\", \"reason_2\": \"Video 2 maintains high sharpness, particularly in the details of the hand, the knife, and the paint ridges.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior rendering of physical textures, specifically the paint on the canvas, which looks tangible and realistic compared to the flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The over-the-shoulder shot in Video 1 is functional but obscures the artist's engagement and the details of the work.\", \"reason_2\": \"Video 2 uses a profile shot that effectively balances the artist's focus with the artwork, creating a more engaging composition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"Video 1 successfully captures the 'rich blues and fiery oranges' requested.\", \"reason_2\": \"Video 2 also nails the color palette, with vibrant oranges and deep blues that match the prompt's description.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"The atmosphere is somewhat generic and lacks the 'sunlit studio' warmth.\", \"reason_2\": \"Video 2 feels more immersive due to the lighting on the artist's face and the tactile quality of the art, enhancing the 'mesmerizing' mood.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a more cinematic composition that connects the artist to the work, whereas Video 1 feels like a standard stock clip.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it correctly identifies and generates the specific tool requested in the prompt (a palette knife), whereas Video 1 incorrectly uses a standard paintbrush. Furthermore, Video 2 excels in rendering the physical texture of the paint (impasto), creating a realistic sense of depth that aligns with the prompt's request for 'texture and depth'. Video 2 also provides a better view of the artist's 'focused expression', which is obscured in Video 1.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Tool Specificity (Palette Knife vs. Brush)", "reason_1": "Video 1 completely ignores the prompt's instruction to use a 'palette knife', instead showing a standard paintbrush.", "reason_2": "Video 2 correctly generates a palette knife and depicts the artist using it to spread paint, aligning perfectly with the prompt.", "score_1": 1, "score_2": 9}, {"name": "Subject Attributes (Focused Expression)", "reason_1": "Video 1 shows the subject mostly from behind; the 'focused expression' is not visible or verifiable.", "reason_2": "Video 2 provides a clear side profile of the artist, distinctly showing the 'focused expression' and 'tousled hair' as requested.", "score_1": 2, "score_2": 8}, {"name": "Action Logic (Blending & Movement)", "reason_1": "The painting action in Video 1 is generic and lacks the specific 'blending' motion associated with a palette knife.", "reason_2": "Video 2 accurately depicts the scraping and blending motion characteristic of palette knife painting.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the specific tool and attribute instructions, whereas Video 1 failed to generate the correct tool and obscured the subject's expression.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity (Impasto & Depth)", "reason_1": "The paint on the canvas in Video 1 appears flat and digital, lacking the requested 'texture and depth'.", "reason_2": "Video 2 renders the paint with high-quality 3D depth (impasto), making the brushstrokes look physically tangible and realistic.", "score_1": 2, "score_2": 8}, {"name": "Interaction Physics (Tool on Canvas)", "reason_1": "The brush movement in Video 1 feels slightly disconnected from the canvas surface, with less convincing contact shadows.", "reason_2": "Video 2 shows realistic interaction between the knife and the canvas, with paint appearing to physically displace.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 is adequately clear but has a slightly softer, more artificial look.", "reason_2": "Video 2 maintains high sharpness, particularly in the details of the hand, the knife, and the paint ridges.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior rendering of physical textures, specifically the paint on the canvas, which looks tangible and realistic compared to the flatter look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The over-the-shoulder shot in Video 1 is functional but obscures the artist's engagement and the details of the work.", "reason_2": "Video 2 uses a profile shot that effectively balances the artist's focus with the artwork, creating a more engaging composition.", "score_1": 3, "score_2": 7}, {"name": "Color Harmony & Vibrancy", "reason_1": "Video 1 successfully captures the 'rich blues and fiery oranges' requested.", "reason_2": "Video 2 also nails the color palette, with vibrant oranges and deep blues that match the prompt's description.", "score_1": 5, "score_2": 5}, {"name": "Atmospheric Immersion", "reason_1": "The atmosphere is somewhat generic and lacks the 'sunlit studio' warmth.", "reason_2": "Video 2 feels more immersive due to the lighting on the artist's face and the tactile quality of the art, enhancing the 'mesmerizing' mood.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a more cinematic composition that connects the artist to the work, whereas Video 1 feels like a standard stock clip.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it correctly identifies and generates the specific tool requested in the prompt (a palette knife), whereas Video 1 incorrectly uses a standard paintbrush. Furthermore, Video 2 excels in rendering the physical texture of the paint (impasto), creating a realistic sense of depth that aligns with the prompt's request for 'texture and depth'. Video 2 also provides a better view of the artist's 'focused expression', which is obscured in Video 1.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 59.455} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1_summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d1a0f1bf31cdd9c77e105f3fc10dbc8a7a61e34e --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1_summary.json @@ -0,0 +1,31 @@ +{ + "total": 38, + "success": 38, + "counts": { + "yw002-1-sage-baseline": 25, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 13, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.6578947368421053, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.34210526315789475 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.6578947368421053, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.34210526315789475 + }, + "latency_sec": { + "mean": 59.94857894736842, + "median": 58.7105, + "min": 52.283, + "max": 74.576 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_1.jsonl", + "shard_count": 8, + "shard_index": 1 +} \ No newline at end of file diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2.jsonl b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6fd49ee2ed5a7a2827228e6027f6a5fe0dcefc15 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2.jsonl @@ -0,0 +1,38 @@ +{"pair_id": "000_seed_930", "sample_index": 0, "seed": 930, "prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_000_seed_930_A crystal-clear glass ball begins its journey acro.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_930_A crystal-clear glass ball begins its journey acro.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_000_seed_930_A crystal-clear glass ball begins its journey acro.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_000_seed_930_A crystal-clear glass ball begins its journey acro.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Rolling vs. Sliding)\", \"reason_1\": \"Video 1 depicts the ball rotating on its axis while moving forward, accurately representing a 'roll'.\", \"reason_2\": \"Video 2 shows the ball translating across the screen without rotating, which is physically impossible for a ball rolling on a surface (it looks like a sliding 2D sprite).\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Wooden Tabletop)\", \"reason_1\": \"The video clearly shows a polished wooden surface with visible grain, matching the prompt's setting.\", \"reason_2\": \"The video also features a wooden surface with appropriate texture and grain.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Attributes (Crystal-Clear Glass)\", \"reason_1\": \"The ball is rendered with high transparency and refractive properties consistent with crystal-clear glass.\", \"reason_2\": \"The ball appears glassy but lacks the depth and clarity of Video 1, looking slightly more like a solid object with a texture map.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 correctly interprets the core action 'roll', whereas Video 2 fails to generate the necessary rotation for the movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Physical Plausibility (Rotation & Momentum)\", \"reason_1\": \"The motion respects physics; the rotation speed matches the forward velocity.\", \"reason_2\": \"The physics are broken; the object slides effortlessly without friction or rotation, destroying realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Optical Realism (Refraction & Caustics)\", \"reason_1\": \"The glass ball correctly refracts the background and casts a realistic, inverted caustic light pattern on the table.\", \"reason_2\": \"The refraction is minimal and the shadow/caustic on the table is a static blob that does not change shape as the ball moves.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with sharp edges and clear details in the wood grain and glass reflections.\", \"reason_2\": \"The video is noticeably softer and blurrier, lacking the high-definition finish of Video 1.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior understanding of physics (optics and mechanics) and maintains higher visual fidelity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Mood\", \"reason_1\": \"The lighting is soft and warm, creating the 'tranquil atmosphere' and 'soft hues' requested.\", \"reason_2\": \"The lighting is flatter and cooler, resulting in a less inviting and less 'mesmerizing' aesthetic.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Stability & Framing\", \"reason_1\": \"The camera remains fixed as requested, keeping the subject well-framed.\", \"reason_2\": \"The camera is fixed, but the framing feels slightly less intentional as the ball drifts towards the edge.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The combination of realistic physics, warm lighting, and sharp details makes for a visually pleasing clip.\", \"reason_2\": \"The unnatural sliding motion and duller colors make the video visually unappealing and obviously artificial.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a much more convincing and aesthetically pleasing atmosphere through better lighting and composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner primarily due to its adherence to physical laws. It correctly depicts the ball rotating (rolling) as it moves, whereas Video 2 displays a 'sliding' artifact where the ball translates across the screen without rotating. Additionally, Video 1 features superior lighting, sharper resolution, and more realistic optical refraction and caustics on the wooden surface.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A crystal-clear glass ball begins its journey across a polished wooden tabletop, reflecting the ambient light and casting delicate shadows. The camera remains fixed, capturing the ball's gentle, mesmerizing roll. As it moves, the ball's surface mirrors the room's soft hues and subtle textures, creating a dynamic interplay of light and shadow. The tabletop's smooth grain enhances the ball's seamless glide, while the ambient sounds of a quiet room add to the tranquil atmosphere. The ball's path is unpredictable yet graceful, embodying a serene dance of motion and stillness in a harmonious setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Rolling vs. Sliding)", "reason_1": "Video 1 depicts the ball rotating on its axis while moving forward, accurately representing a 'roll'.", "reason_2": "Video 2 shows the ball translating across the screen without rotating, which is physically impossible for a ball rolling on a surface (it looks like a sliding 2D sprite).", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Wooden Tabletop)", "reason_1": "The video clearly shows a polished wooden surface with visible grain, matching the prompt's setting.", "reason_2": "The video also features a wooden surface with appropriate texture and grain.", "score_1": 5, "score_2": 5}, {"name": "Subject Attributes (Crystal-Clear Glass)", "reason_1": "The ball is rendered with high transparency and refractive properties consistent with crystal-clear glass.", "reason_2": "The ball appears glassy but lacks the depth and clarity of Video 1, looking slightly more like a solid object with a texture map.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 correctly interprets the core action 'roll', whereas Video 2 fails to generate the necessary rotation for the movement.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Physical Plausibility (Rotation & Momentum)", "reason_1": "The motion respects physics; the rotation speed matches the forward velocity.", "reason_2": "The physics are broken; the object slides effortlessly without friction or rotation, destroying realism.", "score_1": 9, "score_2": 1}, {"name": "Optical Realism (Refraction & Caustics)", "reason_1": "The glass ball correctly refracts the background and casts a realistic, inverted caustic light pattern on the table.", "reason_2": "The refraction is minimal and the shadow/caustic on the table is a static blob that does not change shape as the ball moves.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with sharp edges and clear details in the wood grain and glass reflections.", "reason_2": "The video is noticeably softer and blurrier, lacking the high-definition finish of Video 1.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior understanding of physics (optics and mechanics) and maintains higher visual fidelity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Mood", "reason_1": "The lighting is soft and warm, creating the 'tranquil atmosphere' and 'soft hues' requested.", "reason_2": "The lighting is flatter and cooler, resulting in a less inviting and less 'mesmerizing' aesthetic.", "score_1": 7, "score_2": 3}, {"name": "Camera Stability & Framing", "reason_1": "The camera remains fixed as requested, keeping the subject well-framed.", "reason_2": "The camera is fixed, but the framing feels slightly less intentional as the ball drifts towards the edge.", "score_1": 6, "score_2": 4}, {"name": "Overall Visual Appeal", "reason_1": "The combination of realistic physics, warm lighting, and sharp details makes for a visually pleasing clip.", "reason_2": "The unnatural sliding motion and duller colors make the video visually unappealing and obviously artificial.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a much more convincing and aesthetically pleasing atmosphere through better lighting and composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner primarily due to its adherence to physical laws. It correctly depicts the ball rotating (rolling) as it moves, whereas Video 2 displays a 'sliding' artifact where the ball translates across the screen without rotating. Additionally, Video 1 features superior lighting, sharper resolution, and more realistic optical refraction and caustics on the wooden surface.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 55.212} +{"pair_id": "003_seed_310", "sample_index": 3, "seed": 310, "prompt": "A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_003_seed_310_A couple strolls hand in hand down a bustling city.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_310_A couple strolls hand in hand down a bustling city.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_310_A couple strolls hand in hand down a bustling city.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_003_seed_310_A couple strolls hand in hand down a bustling city.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Attribute Fidelity\", \"reason_1\": \"Video 1 correctly depicts the navy coat, jeans, and red trench coat as requested.\", \"reason_2\": \"Video 2 also perfectly matches the clothing descriptions, including the specific colors and styles.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Interaction Specificity (Hand-in-Hand)\", \"reason_1\": \"The couple is holding hands, but the connection point is blurry and lacks definition.\", \"reason_2\": \"The hand-holding is distinct, with fingers clearly intertwined, better fulfilling the specific prompt detail.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Bustling Street)\", \"reason_1\": \"The background is present but feels somewhat flat and lacks the depth of a 'bustling' city.\", \"reason_2\": \"The background features more depth, distinct storefronts, and a clearer sense of a busy urban environment.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos adhere well to the clothing and subject descriptions. However, Video 2 renders the specific interaction of 'intertwined fingers' and the 'bustling' background details with greater clarity and definition.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The woman's face suffers from severe distortion and 'melting' artifacts throughout the clip, breaking realism.\", \"reason_2\": \"Both subjects maintain consistent, realistic facial features and expressions throughout the video.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The overall image is soft, with low-resolution textures on clothing and skin.\", \"reason_2\": \"The video is sharp, with high-definition textures visible on the coats and the cobblestone street.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Naturalness (Gait & Physics)\", \"reason_1\": \"The walking motion feels slightly floaty, and the subjects' connection to the ground is weak.\", \"reason_2\": \"The walking gait is grounded and natural, with realistic weight distribution and movement.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"This is the deciding category. Video 1 fails significantly due to severe facial morphing and artifacts. Video 2 maintains high stability, sharpness, and realistic motion throughout.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity (Smiles & Glances)\", \"reason_1\": \"The intended smiles are rendered as uncanny distortions due to the low quality.\", \"reason_2\": \"The couple exchanges natural, warm smiles and glances, effectively conveying the requested affection.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Atmospheric Tone\", \"reason_1\": \"The lighting is somewhat flat and lacks the specific 'warm hues' requested.\", \"reason_2\": \"The lighting is dynamic, with a warm, golden-hour glow that enhances the romantic mood.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to the distracting artifacts and blur.\", \"reason_2\": \"The video is aesthetically pleasing, resembling high-quality stock footage.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully captures the romantic mood and 'warm hues' of the setting sun, whereas Video 1's aesthetic is marred by technical flaws.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in terms of visual fidelity, temporal stability, and aesthetic quality. While Video 1 suffers from severe facial distortions and low resolution, Video 2 presents a photorealistic, high-definition scene with stable character identities, natural motion, and beautiful lighting that perfectly captures the romantic atmosphere described in the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Attribute Fidelity", "reason_1": "Video 1 correctly depicts the navy coat, jeans, and red trench coat as requested.", "reason_2": "Video 2 also perfectly matches the clothing descriptions, including the specific colors and styles.", "score_1": 5, "score_2": 5}, {"name": "Interaction Specificity (Hand-in-Hand)", "reason_1": "The couple is holding hands, but the connection point is blurry and lacks definition.", "reason_2": "The hand-holding is distinct, with fingers clearly intertwined, better fulfilling the specific prompt detail.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Bustling Street)", "reason_1": "The background is present but feels somewhat flat and lacks the depth of a 'bustling' city.", "reason_2": "The background features more depth, distinct storefronts, and a clearer sense of a busy urban environment.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos adhere well to the clothing and subject descriptions. However, Video 2 renders the specific interaction of 'intertwined fingers' and the 'bustling' background details with greater clarity and definition.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The woman's face suffers from severe distortion and 'melting' artifacts throughout the clip, breaking realism.", "reason_2": "Both subjects maintain consistent, realistic facial features and expressions throughout the video.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The overall image is soft, with low-resolution textures on clothing and skin.", "reason_2": "The video is sharp, with high-definition textures visible on the coats and the cobblestone street.", "score_1": 2, "score_2": 8}, {"name": "Motion Naturalness (Gait & Physics)", "reason_1": "The walking motion feels slightly floaty, and the subjects' connection to the ground is weak.", "reason_2": "The walking gait is grounded and natural, with realistic weight distribution and movement.", "score_1": 3, "score_2": 7}], "cat_reason": "This is the deciding category. Video 1 fails significantly due to severe facial morphing and artifacts. Video 2 maintains high stability, sharpness, and realistic motion throughout.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity (Smiles & Glances)", "reason_1": "The intended smiles are rendered as uncanny distortions due to the low quality.", "reason_2": "The couple exchanges natural, warm smiles and glances, effectively conveying the requested affection.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Atmospheric Tone", "reason_1": "The lighting is somewhat flat and lacks the specific 'warm hues' requested.", "reason_2": "The lighting is dynamic, with a warm, golden-hour glow that enhances the romantic mood.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to the distracting artifacts and blur.", "reason_2": "The video is aesthetically pleasing, resembling high-quality stock footage.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully captures the romantic mood and 'warm hues' of the setting sun, whereas Video 1's aesthetic is marred by technical flaws.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in terms of visual fidelity, temporal stability, and aesthetic quality. While Video 1 suffers from severe facial distortions and low resolution, Video 2 presents a photorealistic, high-definition scene with stable character identities, natural motion, and beautiful lighting that perfectly captures the romantic atmosphere described in the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 52.136} +{"pair_id": "006_seed_42", "sample_index": 6, "seed": 42, "prompt": "An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_006_seed_42_An exhilarating FPV aerial shot captures the breat.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_42_An exhilarating FPV aerial shot captures the breat.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_006_seed_42_An exhilarating FPV aerial shot captures the breat.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_42_An exhilarating FPV aerial shot captures the breat.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"FPV Motion Dynamics (Swoop & Glide)\", \"reason_1\": \"Video 1 features a slow, linear pan that lacks the 'exhilarating' speed or 'swooping' motion characteristic of FPV drone footage.\", \"reason_2\": \"Video 2 executes a dynamic, banking turn that perfectly mimics the 'swooping' and 'gliding' motion described in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting Interaction (Golden Sun & Shadows)\", \"reason_1\": \"Video 1 has consistent lighting, but the shadows are static and do not 'dance' or interact dynamically with the terrain.\", \"reason_2\": \"Video 2 captures the 'golden embrace' effectively, with the changing camera angle revealing shifting shadows and highlights on the snow.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Pastel Horizon)\", \"reason_1\": \"Video 1 clearly displays the 'distant horizon painted in soft pastel hues' as requested.\", \"reason_2\": \"Video 2 focuses heavily on the mountain ridge, obscuring the distant horizon and pastel sky elements.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 2 aligns much closer to the specific motion and lighting descriptions in the prompt, particularly the 'swooping' and 'dancing light' aspects, whereas Video 1 is too static.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity (Snow & Rock)\", \"reason_1\": \"The snow texture in Video 1 appears somewhat smooth and lacks the 'rugged' definition requested.\", \"reason_2\": \"Video 2 renders the 'rugged terrain' with high detail, showing distinct rock faces and snow drifts.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Geometric Stability (Terrain Consistency)\", \"reason_1\": \"Video 1 maintains a very stable geometry throughout the clip with minimal morphing.\", \"reason_2\": \"Video 2 exhibits some temporal instability, with the mountain geometry shifting slightly during the rapid camera movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"The motion is smooth but very slow, lacking the dynamic energy implied by the prompt.\", \"reason_2\": \"The motion is fluid and fast, effectively conveying the speed of an FPV drone without stuttering.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers superior texture details and a more realistic sense of scale, although Video 1 is slightly more stable geometrically.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Immersion (Exhilarating Feel)\", \"reason_1\": \"The clip feels passive and observational, missing the 'exhilarating' narrative beat entirely.\", \"reason_2\": \"The banking turn and proximity to the terrain create a strong sense of immersion and thrill.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Composition & Depth\", \"reason_1\": \"The composition is flat, looking down a ridge with limited depth perception.\", \"reason_2\": \"The composition uses the mountain ridge as a leading line, creating excellent depth and a sense of scale.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Mood (Serene vs. Majestic)\", \"reason_1\": \"Video 1 captures the 'serene' and 'peaceful' aspects of the prompt slightly better due to its stability.\", \"reason_2\": \"Video 2 leans more into 'majestic' and 'exhilarating', sacrificing some of the 'tranquil silence' for action.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 delivers a much more cinematic and immersive experience, successfully evoking the 'exhilarating' and 'mesmerizing' mood requested.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in capturing the dynamic essence of the prompt. While Video 1 provides a stable but slow-moving view, Video 2 successfully executes the requested 'exhilarating FPV' motion with a dramatic swoop and banking turn. It also renders the 'rugged terrain' and 'intricate patterns of shadows' with much higher fidelity and textural detail, creating a far more immersive and cinematic experience.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "FPV Motion Dynamics (Swoop & Glide)", "reason_1": "Video 1 features a slow, linear pan that lacks the 'exhilarating' speed or 'swooping' motion characteristic of FPV drone footage.", "reason_2": "Video 2 executes a dynamic, banking turn that perfectly mimics the 'swooping' and 'gliding' motion described in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Lighting Interaction (Golden Sun & Shadows)", "reason_1": "Video 1 has consistent lighting, but the shadows are static and do not 'dance' or interact dynamically with the terrain.", "reason_2": "Video 2 captures the 'golden embrace' effectively, with the changing camera angle revealing shifting shadows and highlights on the snow.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Pastel Horizon)", "reason_1": "Video 1 clearly displays the 'distant horizon painted in soft pastel hues' as requested.", "reason_2": "Video 2 focuses heavily on the mountain ridge, obscuring the distant horizon and pastel sky elements.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 2 aligns much closer to the specific motion and lighting descriptions in the prompt, particularly the 'swooping' and 'dancing light' aspects, whereas Video 1 is too static.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity (Snow & Rock)", "reason_1": "The snow texture in Video 1 appears somewhat smooth and lacks the 'rugged' definition requested.", "reason_2": "Video 2 renders the 'rugged terrain' with high detail, showing distinct rock faces and snow drifts.", "score_1": 3, "score_2": 7}, {"name": "Geometric Stability (Terrain Consistency)", "reason_1": "Video 1 maintains a very stable geometry throughout the clip with minimal morphing.", "reason_2": "Video 2 exhibits some temporal instability, with the mountain geometry shifting slightly during the rapid camera movement.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity", "reason_1": "The motion is smooth but very slow, lacking the dynamic energy implied by the prompt.", "reason_2": "The motion is fluid and fast, effectively conveying the speed of an FPV drone without stuttering.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers superior texture details and a more realistic sense of scale, although Video 1 is slightly more stable geometrically.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Immersion (Exhilarating Feel)", "reason_1": "The clip feels passive and observational, missing the 'exhilarating' narrative beat entirely.", "reason_2": "The banking turn and proximity to the terrain create a strong sense of immersion and thrill.", "score_1": 2, "score_2": 8}, {"name": "Visual Composition & Depth", "reason_1": "The composition is flat, looking down a ridge with limited depth perception.", "reason_2": "The composition uses the mountain ridge as a leading line, creating excellent depth and a sense of scale.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Mood (Serene vs. Majestic)", "reason_1": "Video 1 captures the 'serene' and 'peaceful' aspects of the prompt slightly better due to its stability.", "reason_2": "Video 2 leans more into 'majestic' and 'exhilarating', sacrificing some of the 'tranquil silence' for action.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 delivers a much more cinematic and immersive experience, successfully evoking the 'exhilarating' and 'mesmerizing' mood requested.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in capturing the dynamic essence of the prompt. While Video 1 provides a stable but slow-moving view, Video 2 successfully executes the requested 'exhilarating FPV' motion with a dramatic swoop and banking turn. It also renders the 'rugged terrain' and 'intricate patterns of shadows' with much higher fidelity and textural detail, creating a far more immersive and cinematic experience.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 38.0, "total_score_2": 52.0, "elapsed_sec": 56.409} +{"pair_id": "008_seed_930", "sample_index": 8, "seed": 930, "prompt": "From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_008_seed_930_From a high vantage point the camera captures a bu.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_930_From a high vantage point the camera captures a bu.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_008_seed_930_From a high vantage point the camera captures a bu.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_008_seed_930_From a high vantage point the camera captures a bu.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Lighting (Golden Hour)\", \"reason_1\": \"Video 1 features flat, neutral daylight that completely misses the 'soft, golden lighting' and 'setting sun' requirement.\", \"reason_2\": \"Video 2 perfectly renders the warm, orange-hued lighting of late afternoon, creating the requested 'warm embrace' and long shadows.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Action (Synchronized Movement)\", \"reason_1\": \"The pedestrians in Video 1 move erratically and chaotically, failing to convey the 'synchronized like a choreographed dance' aspect.\", \"reason_2\": \"Video 2 depicts pedestrians moving in a unified, rhythmic flow across the intersection, aligning well with the 'choreographed' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Object Attribute (Vibrant Hues)\", \"reason_1\": \"The colors in Video 1 are washed out and dull, lacking the 'vibrant hues' requested.\", \"reason_2\": \"Video 2 displays rich, saturated colors in the clothing and environment, fulfilling the prompt's request for vibrancy.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately captures the specific lighting conditions and the 'colorful' nature of the scene, whereas Video 1 fails to render the requested golden hour atmosphere.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Pedestrians)\", \"reason_1\": \"Video 1 exhibits severe distortion; pedestrians' limbs and bodies warp and melt significantly during movement.\", \"reason_2\": \"Video 2 maintains the structural integrity of the pedestrians much better, with consistent shapes throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Object Physics (Vehicle Motion)\", \"reason_1\": \"The car in Video 1 appears to slide sideways unnaturally and lacks weight, looking like a 2D sprite moving over a background.\", \"reason_2\": \"The cars in Video 2 follow the road lanes more logically and possess a better sense of momentum and scale.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is blurry and lacks definition, resembling a low-resolution generation.\", \"reason_2\": \"The video is sharper with clearer details on the buildings and street markings.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains better structural integrity of subjects and objects, while Video 1 suffers from severe warping and low-resolution artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Mood\", \"reason_1\": \"The color palette is cold and clinical, failing to evoke the 'harmonious symphony' or 'warm embrace' of the prompt.\", \"reason_2\": \"The warm color grading creates a cohesive, inviting mood that perfectly matches the narrative description of a sunset city scene.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is functional but feels cluttered and lacks a clear focal point.\", \"reason_2\": \"The composition effectively balances the crosswalk activity with the passing traffic, creating a pleasing 'tapestry of urban life'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to artifacts, poor lighting, and glitchy motion.\", \"reason_2\": \"The video is aesthetically pleasing, with a cinematic look that effectively sells the concept of a bustling city at sunset.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a much more visually pleasing and cinematically coherent experience, successfully evoking the mood described in the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully captures the critical atmospheric requirement of 'golden lighting' and 'vibrant hues,' creating the requested warm aesthetic. In contrast, Video 1 presents a flat, desaturated daylight scene that ignores the lighting prompt. Furthermore, Video 2 demonstrates superior morphological stability for the pedestrians and vehicles, whereas Video 1 suffers from significant distortion and unnatural motion artifacts.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "From a high vantage point, the camera captures a bustling city street below, where pedestrians in colorful attire navigate the crosswalks, their movements synchronized like a choreographed dance. The soft, golden lighting of the late afternoon bathes the scene, casting long shadows and highlighting the vibrant hues of the cityscape. Cars glide smoothly along the road, their headlights twinkling like stars in the gentle light. The camera pans slowly, revealing a tapestry of urban life, where the rhythm of footsteps and the hum of traffic create a harmonious symphony, all under the warm embrace of the setting sun.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Lighting (Golden Hour)", "reason_1": "Video 1 features flat, neutral daylight that completely misses the 'soft, golden lighting' and 'setting sun' requirement.", "reason_2": "Video 2 perfectly renders the warm, orange-hued lighting of late afternoon, creating the requested 'warm embrace' and long shadows.", "score_1": 2, "score_2": 8}, {"name": "Subject Action (Synchronized Movement)", "reason_1": "The pedestrians in Video 1 move erratically and chaotically, failing to convey the 'synchronized like a choreographed dance' aspect.", "reason_2": "Video 2 depicts pedestrians moving in a unified, rhythmic flow across the intersection, aligning well with the 'choreographed' description.", "score_1": 3, "score_2": 7}, {"name": "Object Attribute (Vibrant Hues)", "reason_1": "The colors in Video 1 are washed out and dull, lacking the 'vibrant hues' requested.", "reason_2": "Video 2 displays rich, saturated colors in the clothing and environment, fulfilling the prompt's request for vibrancy.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately captures the specific lighting conditions and the 'colorful' nature of the scene, whereas Video 1 fails to render the requested golden hour atmosphere.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Pedestrians)", "reason_1": "Video 1 exhibits severe distortion; pedestrians' limbs and bodies warp and melt significantly during movement.", "reason_2": "Video 2 maintains the structural integrity of the pedestrians much better, with consistent shapes throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Object Physics (Vehicle Motion)", "reason_1": "The car in Video 1 appears to slide sideways unnaturally and lacks weight, looking like a 2D sprite moving over a background.", "reason_2": "The cars in Video 2 follow the road lanes more logically and possess a better sense of momentum and scale.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is blurry and lacks definition, resembling a low-resolution generation.", "reason_2": "The video is sharper with clearer details on the buildings and street markings.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains better structural integrity of subjects and objects, while Video 1 suffers from severe warping and low-resolution artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Mood", "reason_1": "The color palette is cold and clinical, failing to evoke the 'harmonious symphony' or 'warm embrace' of the prompt.", "reason_2": "The warm color grading creates a cohesive, inviting mood that perfectly matches the narrative description of a sunset city scene.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is functional but feels cluttered and lacks a clear focal point.", "reason_2": "The composition effectively balances the crosswalk activity with the passing traffic, creating a pleasing 'tapestry of urban life'.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to artifacts, poor lighting, and glitchy motion.", "reason_2": "The video is aesthetically pleasing, with a cinematic look that effectively sells the concept of a bustling city at sunset.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a much more visually pleasing and cinematically coherent experience, successfully evoking the mood described in the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully captures the critical atmospheric requirement of 'golden lighting' and 'vibrant hues,' creating the requested warm aesthetic. In contrast, Video 1 presents a flat, desaturated daylight scene that ignores the lighting prompt. Furthermore, Video 2 demonstrates superior morphological stability for the pedestrians and vehicles, whereas Video 1 suffers from significant distortion and unnatural motion artifacts.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 55.455} +{"pair_id": "011_seed_310", "sample_index": 11, "seed": 310, "prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_011_seed_310_A poised model stands gracefully in a vibrant red.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_011_seed_310_A poised model stands gracefully in a vibrant red.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_011_seed_310_A poised model stands gracefully in a vibrant red.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_011_seed_310_A poised model stands gracefully in a vibrant red.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Completeness (Model & Expression)\", \"reason_1\": \"Video 1 clearly displays the model's face, neck, and upper body, fulfilling the requirement for a 'poised model' with a 'serene expression'.\", \"reason_2\": \"Video 2 is a headless close-up of a torso. It completely fails to generate the model's face or expression, missing a core part of the prompt.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Material Texture Fidelity (Silk vs. Liquid)\", \"reason_1\": \"The dress in Video 1 has a high sheen but retains the visual characteristics of fabric (folds, weight, drape) consistent with 'silk'.\", \"reason_2\": \"The texture in Video 2 is excessively fluid and morphing, resembling liquid mercury or molten plastic rather than silk fabric.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Adherence (Gentle Sway)\", \"reason_1\": \"The model in Video 1 exhibits a subtle, natural sway that matches the 'gracefully' and 'gently' descriptors.\", \"reason_2\": \"The motion in Video 2 is driven by the morphing texture of the dress rather than the body's movement, creating a jittery, unnatural effect.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the full subject including the face and expression, whereas Video 2 fails to show the model's head. Additionally, Video 1 correctly interprets the material as silk, while Video 2 renders it as a morphing liquid.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Fabric Consistency)\", \"reason_1\": \"The dress maintains its shape, cut, and volume consistently throughout the video.\", \"reason_2\": \"The dress in Video 2 constantly hallucinates new folds and shapes; the fabric behaves like a liquid simulation rather than a solid object.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity\", \"reason_1\": \"The model's anatomy (shoulders, arms, neck) is rendered correctly and remains stable.\", \"reason_2\": \"The framing cuts off the head, and the connection between the arms and the dress is obscured by the morphing texture, making the anatomy ambiguous.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting Interaction Realism\", \"reason_1\": \"Reflections on the dress move naturally with the folds of the fabric.\", \"reason_2\": \"While the reflections are high-contrast, they shift randomly due to the texture instability, breaking the illusion of realism.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior temporal stability. Video 2 suffers from severe texture hallucination where the dress pattern and folds change randomly from frame to frame.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The medium shot perfectly frames the model, allowing the viewer to appreciate both the dress and the model's poise.\", \"reason_2\": \"The extreme close-up on the torso is claustrophobic and fails to convey the 'graceful' nature of the subject.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Aesthetic Appeal (Luxury & Opulence)\", \"reason_1\": \"The video successfully evokes a sense of luxury and elegance through stable visuals and soft lighting.\", \"reason_2\": \"The chaotic morphing and lack of a face make the video feel like a technical glitch rather than an opulent fashion shot.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Focus & Background\", \"reason_1\": \"The background is understated and clean, keeping focus on the subject as requested.\", \"reason_2\": \"The background is visible but the distracting foreground motion prevents the viewer from focusing on any specific element.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a professional, fashion-editorial style shot that aligns with the 'opulence' described. Video 2 feels like a technical test of texture generation with poor framing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully represents the entire prompt, specifically the 'poised model' with a visible face and 'serene expression,' which Video 2 completely omits due to poor framing. Furthermore, Video 1 renders the 'silk' texture with realistic fabric physics, whereas Video 2 suffers from severe morphological instability, where the dress behaves like a morphing liquid rather than cloth.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Completeness (Model & Expression)", "reason_1": "Video 1 clearly displays the model's face, neck, and upper body, fulfilling the requirement for a 'poised model' with a 'serene expression'.", "reason_2": "Video 2 is a headless close-up of a torso. It completely fails to generate the model's face or expression, missing a core part of the prompt.", "score_1": 10, "score_2": 0}, {"name": "Material Texture Fidelity (Silk vs. Liquid)", "reason_1": "The dress in Video 1 has a high sheen but retains the visual characteristics of fabric (folds, weight, drape) consistent with 'silk'.", "reason_2": "The texture in Video 2 is excessively fluid and morphing, resembling liquid mercury or molten plastic rather than silk fabric.", "score_1": 8, "score_2": 2}, {"name": "Action Adherence (Gentle Sway)", "reason_1": "The model in Video 1 exhibits a subtle, natural sway that matches the 'gracefully' and 'gently' descriptors.", "reason_2": "The motion in Video 2 is driven by the morphing texture of the dress rather than the body's movement, creating a jittery, unnatural effect.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the full subject including the face and expression, whereas Video 2 fails to show the model's head. Additionally, Video 1 correctly interprets the material as silk, while Video 2 renders it as a morphing liquid.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Fabric Consistency)", "reason_1": "The dress maintains its shape, cut, and volume consistently throughout the video.", "reason_2": "The dress in Video 2 constantly hallucinates new folds and shapes; the fabric behaves like a liquid simulation rather than a solid object.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity", "reason_1": "The model's anatomy (shoulders, arms, neck) is rendered correctly and remains stable.", "reason_2": "The framing cuts off the head, and the connection between the arms and the dress is obscured by the morphing texture, making the anatomy ambiguous.", "score_1": 9, "score_2": 1}, {"name": "Lighting Interaction Realism", "reason_1": "Reflections on the dress move naturally with the folds of the fabric.", "reason_2": "While the reflections are high-contrast, they shift randomly due to the texture instability, breaking the illusion of realism.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior temporal stability. Video 2 suffers from severe texture hallucination where the dress pattern and folds change randomly from frame to frame.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The medium shot perfectly frames the model, allowing the viewer to appreciate both the dress and the model's poise.", "reason_2": "The extreme close-up on the torso is claustrophobic and fails to convey the 'graceful' nature of the subject.", "score_1": 9, "score_2": 1}, {"name": "Aesthetic Appeal (Luxury & Opulence)", "reason_1": "The video successfully evokes a sense of luxury and elegance through stable visuals and soft lighting.", "reason_2": "The chaotic morphing and lack of a face make the video feel like a technical glitch rather than an opulent fashion shot.", "score_1": 8, "score_2": 2}, {"name": "Visual Focus & Background", "reason_1": "The background is understated and clean, keeping focus on the subject as requested.", "reason_2": "The background is visible but the distracting foreground motion prevents the viewer from focusing on any specific element.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a professional, fashion-editorial style shot that aligns with the 'opulence' described. Video 2 feels like a technical test of texture generation with poor framing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully represents the entire prompt, specifically the 'poised model' with a visible face and 'serene expression,' which Video 2 completely omits due to poor framing. Furthermore, Video 1 renders the 'silk' texture with realistic fabric physics, whereas Video 2 suffers from severe morphological instability, where the dress behaves like a morphing liquid rather than cloth.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 59.657} +{"pair_id": "014_seed_42", "sample_index": 14, "seed": 42, "prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_014_seed_42_A man stands in a minimalist studio wearing a fitt.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Graceful Hand Raise)\", \"reason_1\": \"The subject raises his arms in a controlled, fluid motion that aligns well with the description of 'gracefully raises his hands'.\", \"reason_2\": \"The motion is erratic and jerky; the subject's arms flail rather than raise gracefully, failing the specific action prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The subject maintains a logical human structure throughout the movement, with arms and hands remaining distinct and connected.\", \"reason_2\": \"The video exhibits severe anatomical failure; the subject's arms appear to detach from the body or merge into the torso, and the hands are malformed.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Expression & Mood (Serene/Introspective)\", \"reason_1\": \"The subject's face is rendered with a calm, upward gaze that fits the 'serene' and 'introspective' description.\", \"reason_2\": \"The facial features are distorted and the erratic body language conveys confusion or glitching rather than serenity.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the requested action and mood. Video 2 fails to render the 'graceful' action due to severe anatomical errors and lacks the requested serenity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Limb Consistency)\", \"reason_1\": \"The subject's form is solid and consistent; there is no warping or melting of the body parts during the movement.\", \"reason_2\": \"The subject suffers from extreme morphing; the arms lose their shape and volume, appearing to melt into the black turtleneck.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Smoothness & Fluidity\", \"reason_1\": \"The movement is smooth and continuous, mimicking real video footage.\", \"reason_2\": \"The motion is stuttery and unnatural, with sudden jumps in the subject's position.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"The texture of the turtleneck and the skin tones are rendered with reasonable sharpness and realism.\", \"reason_2\": \"The image is softer and lacks definition, particularly around the moving limbs where the texture blurs significantly.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe artifacts, morphing, and a lack of temporal coherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Calm & Balance)\", \"reason_1\": \"The video successfully conveys a sense of tranquility and balance through the subject's poised stance and smooth motion.\", \"reason_2\": \"The chaotic movement and visual glitches completely destroy any sense of calm or balance.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Shadow Quality\", \"reason_1\": \"The lighting creates the requested 'soft shadows' and highlights the subject's form effectively against the neutral background.\", \"reason_2\": \"The lighting is flat and uninteresting, failing to create the dramatic silhouette effect requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The clip is aesthetically pleasing and looks like a coherent piece of footage.\", \"reason_2\": \"The clip is visually disturbing due to the body horror elements (melting limbs) and looks like a failed generation.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully creates the 'minimalist studio' aesthetic with appropriate lighting. Video 2 fails to establish the correct atmosphere due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it maintains anatomical integrity, fluid motion, and successfully captures the serene mood requested in the prompt. Video 2 suffers from catastrophic morphological failure, where the subject's arms and hands melt and distort significantly, breaking the realism and failing to convey the requested grace.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Graceful Hand Raise)", "reason_1": "The subject raises his arms in a controlled, fluid motion that aligns well with the description of 'gracefully raises his hands'.", "reason_2": "The motion is erratic and jerky; the subject's arms flail rather than raise gracefully, failing the specific action prompt.", "score_1": 8, "score_2": 2}, {"name": "Subject Anatomical Logic", "reason_1": "The subject maintains a logical human structure throughout the movement, with arms and hands remaining distinct and connected.", "reason_2": "The video exhibits severe anatomical failure; the subject's arms appear to detach from the body or merge into the torso, and the hands are malformed.", "score_1": 9, "score_2": 1}, {"name": "Expression & Mood (Serene/Introspective)", "reason_1": "The subject's face is rendered with a calm, upward gaze that fits the 'serene' and 'introspective' description.", "reason_2": "The facial features are distorted and the erratic body language conveys confusion or glitching rather than serenity.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the requested action and mood. Video 2 fails to render the 'graceful' action due to severe anatomical errors and lacks the requested serenity.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Limb Consistency)", "reason_1": "The subject's form is solid and consistent; there is no warping or melting of the body parts during the movement.", "reason_2": "The subject suffers from extreme morphing; the arms lose their shape and volume, appearing to melt into the black turtleneck.", "score_1": 9, "score_2": 1}, {"name": "Motion Smoothness & Fluidity", "reason_1": "The movement is smooth and continuous, mimicking real video footage.", "reason_2": "The motion is stuttery and unnatural, with sudden jumps in the subject's position.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "The texture of the turtleneck and the skin tones are rendered with reasonable sharpness and realism.", "reason_2": "The image is softer and lacks definition, particularly around the moving limbs where the texture blurs significantly.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe artifacts, morphing, and a lack of temporal coherence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Calm & Balance)", "reason_1": "The video successfully conveys a sense of tranquility and balance through the subject's poised stance and smooth motion.", "reason_2": "The chaotic movement and visual glitches completely destroy any sense of calm or balance.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Shadow Quality", "reason_1": "The lighting creates the requested 'soft shadows' and highlights the subject's form effectively against the neutral background.", "reason_2": "The lighting is flat and uninteresting, failing to create the dramatic silhouette effect requested.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The clip is aesthetically pleasing and looks like a coherent piece of footage.", "reason_2": "The clip is visually disturbing due to the body horror elements (melting limbs) and looks like a failed generation.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully creates the 'minimalist studio' aesthetic with appropriate lighting. Video 2 fails to establish the correct atmosphere due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it maintains anatomical integrity, fluid motion, and successfully captures the serene mood requested in the prompt. Video 2 suffers from catastrophic morphological failure, where the subject's arms and hands melt and distort significantly, breaking the realism and failing to convey the requested grace.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 53.885} +{"pair_id": "016_seed_930", "sample_index": 16, "seed": 930, "prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_016_seed_930_A man in a sleek black tracksuit stands poised on.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Springing Upward)\", \"reason_1\": \"Video 1 clearly depicts the subject crouching and then springing upward with arms extending, matching the prompt's core action.\", \"reason_2\": \"Video 2 shows the subject performing a twisting motion or dance move rather than a vertical jump, failing to capture the 'springing upward' requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Framing Constraint (Entire Body)\", \"reason_1\": \"Video 1 maintains a wide shot that keeps the subject's entire body within the frame throughout the sequence.\", \"reason_2\": \"Video 2 utilizes a medium shot that frequently cuts off the subject's legs and feet, directly violating the 'entire body captured' constraint.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Field & Sky)\", \"reason_1\": \"Video 1 places the subject in a vast, open grassy field with a clear blue sky, matching the setting description perfectly.\", \"reason_2\": \"Video 2 places the subject in a wooded area with trees in the background, which deviates from the open 'grassy field' description.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 adheres strictly to the prompt's instructions regarding the specific action (jumping), the framing (full body), and the environment. Video 2 fails to depict a clear jump and violates the framing constraint.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subject in Video 1 retains a consistent human shape and anatomical structure throughout the motion.\", \"reason_2\": \"The subject in Video 2 suffers from severe distortion; the face melts and the limbs warp unnaturally during the movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Physics & Gravity\", \"reason_1\": \"The jump in Video 1 follows a logical trajectory with a sense of weight and momentum.\", \"reason_2\": \"The motion in Video 2 is floaty and disjointed, lacking realistic physical grounding or momentum.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 is sharp and clear, allowing details of the tracksuit and environment to be seen.\", \"reason_2\": \"Video 2 is blurry and lacks definition, making the subject appear out of focus even before the intentional blur effect.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable subject and realistic motion physics. Video 2 suffers from severe hallucinations, morphing anatomy, and unnatural movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Visual Balance\", \"reason_1\": \"Video 1 uses a balanced wide composition that effectively showcases the subject against the environment.\", \"reason_2\": \"Video 2 has awkward framing where the subject is often too close or cut off, creating a claustrophobic and unbalanced look.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression of Energy & Readiness\", \"reason_1\": \"The stance and subsequent jump in Video 1 effectively convey the 'powerful energy' and 'readiness' requested.\", \"reason_2\": \"The confused movement in Video 2 fails to convey a clear sense of athletic readiness or power.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"Video 1 features bright, consistent sunlight that matches the 'sunlit' description.\", \"reason_2\": \"Video 2 has flatter lighting and the background blur feels more like a generation artifact than a cinematic choice.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 presents a coherent, aesthetically pleasing shot that conveys the requested energy. Video 2 is visually confusing and lacks narrative clarity.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the core action of the prompt (a vertical jump) while maintaining the required full-body framing and environmental context. Video 2 fails significantly in semantic alignment, presenting a distorted, twisting motion instead of a jump, and suffers from severe morphological instability and poor framing that cuts off the subject's body.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man in a sleek black tracksuit stands poised on a sunlit grassy field, his entire body captured in the frame. The camera captures his focused expression and athletic stance, highlighting his readiness. Suddenly, he springs upward with powerful energy, his feet leaving the ground as his arms extend gracefully above his head. The sunlight casts dynamic shadows, accentuating his muscular form and the fluidity of his movement. As he reaches the peak of his jump, the background blurs slightly, emphasizing his airborne moment against the vibrant green of the field and the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Springing Upward)", "reason_1": "Video 1 clearly depicts the subject crouching and then springing upward with arms extending, matching the prompt's core action.", "reason_2": "Video 2 shows the subject performing a twisting motion or dance move rather than a vertical jump, failing to capture the 'springing upward' requirement.", "score_1": 9, "score_2": 1}, {"name": "Framing Constraint (Entire Body)", "reason_1": "Video 1 maintains a wide shot that keeps the subject's entire body within the frame throughout the sequence.", "reason_2": "Video 2 utilizes a medium shot that frequently cuts off the subject's legs and feet, directly violating the 'entire body captured' constraint.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Field & Sky)", "reason_1": "Video 1 places the subject in a vast, open grassy field with a clear blue sky, matching the setting description perfectly.", "reason_2": "Video 2 places the subject in a wooded area with trees in the background, which deviates from the open 'grassy field' description.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 adheres strictly to the prompt's instructions regarding the specific action (jumping), the framing (full body), and the environment. Video 2 fails to depict a clear jump and violates the framing constraint.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "The subject in Video 1 retains a consistent human shape and anatomical structure throughout the motion.", "reason_2": "The subject in Video 2 suffers from severe distortion; the face melts and the limbs warp unnaturally during the movement.", "score_1": 8, "score_2": 2}, {"name": "Motion Physics & Gravity", "reason_1": "The jump in Video 1 follows a logical trajectory with a sense of weight and momentum.", "reason_2": "The motion in Video 2 is floaty and disjointed, lacking realistic physical grounding or momentum.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 is sharp and clear, allowing details of the tracksuit and environment to be seen.", "reason_2": "Video 2 is blurry and lacks definition, making the subject appear out of focus even before the intentional blur effect.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable subject and realistic motion physics. Video 2 suffers from severe hallucinations, morphing anatomy, and unnatural movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Visual Balance", "reason_1": "Video 1 uses a balanced wide composition that effectively showcases the subject against the environment.", "reason_2": "Video 2 has awkward framing where the subject is often too close or cut off, creating a claustrophobic and unbalanced look.", "score_1": 8, "score_2": 2}, {"name": "Expression of Energy & Readiness", "reason_1": "The stance and subsequent jump in Video 1 effectively convey the 'powerful energy' and 'readiness' requested.", "reason_2": "The confused movement in Video 2 fails to convey a clear sense of athletic readiness or power.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Atmosphere", "reason_1": "Video 1 features bright, consistent sunlight that matches the 'sunlit' description.", "reason_2": "Video 2 has flatter lighting and the background blur feels more like a generation artifact than a cinematic choice.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 presents a coherent, aesthetically pleasing shot that conveys the requested energy. Video 2 is visually confusing and lacks narrative clarity.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the core action of the prompt (a vertical jump) while maintaining the required full-body framing and environmental context. Video 2 fails significantly in semantic alignment, presenting a distorted, twisting motion instead of a jump, and suffers from severe morphological instability and poor framing that cuts off the subject's body.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 55.977} +{"pair_id": "019_seed_310", "sample_index": 19, "seed": 310, "prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_310_A static camera captures a charming scene of a lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_310_A static camera captures a charming scene of a lit.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_310_A static camera captures a charming scene of a lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_310_A static camera captures a charming scene of a lit.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Constraint Adherence (Static vs. Moving)\", \"reason_1\": \"Video 1 completely ignores the 'static camera' instruction, utilizing a backward tracking shot (dolly out) where the background moves significantly.\", \"reason_2\": \"Video 2 adheres well to the prompt, maintaining a fixed camera position while the subjects move away from the lens.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Attribute Fidelity (Girl & Dog)\", \"reason_1\": \"Video 1 renders the girl's yellow raincoat and red boots with high detail and realistic texture. The dog is also well-defined.\", \"reason_2\": \"Video 2 includes the correct attributes, but the rendering is flatter and less detailed; the dog appears somewhat generic and lacks the 'fluffy' texture definition seen in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Detail (Street & Decor)\", \"reason_1\": \"Video 1 creates a highly detailed, picturesque street with distinct cobblestones and vibrant window boxes, matching the 'storybook' description well.\", \"reason_2\": \"Video 2 depicts the environment correctly, but the textures are blurrier and the depth of the street feels less expansive.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 wins this category primarily because it respects the 'static camera' constraint, whereas Video 1 ignores it completely. However, Video 1 is more accurate in rendering the specific textures and attributes of the subjects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-resolution textures on the clothing, hair, and cobblestones.\", \"reason_2\": \"The image is soft, blurry, and lacks fine detail, resembling a lower-resolution generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity & Facial Stability\", \"reason_1\": \"The girl's face remains consistent and recognizable throughout the clip, maintaining a pleasant expression.\", \"reason_2\": \"The girl's face suffers from significant distortion and morphing artifacts as she moves, losing identity consistency.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The running motion is fluid and energetic, though there is some minor 'sliding' of feet on the ground.\", \"reason_2\": \"The motion is somewhat jerky and the dog's movement feels floaty and disconnected from the ground.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 dominates this category with high-definition clarity, stable subject identity, and smooth motion. Video 2 appears low-resolution with noticeable artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Shadows\", \"reason_1\": \"Video 1 beautifully renders the 'sunlight filtering through leaves' and 'playful shadows' requested in the prompt, creating a warm, whimsical mood.\", \"reason_2\": \"Video 2 has flat, uniform lighting that fails to evoke the specific atmospheric depth described in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition, color grading, and clarity make for a highly aesthetically pleasing video.\", \"reason_2\": \"The visual appeal is low due to the blurriness and lack of dynamic lighting.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Energy (Joyful Stroll)\", \"reason_1\": \"The girl's expression and energetic movement effectively convey the 'joyful' and 'charming' narrative.\", \"reason_2\": \"The narrative is present, but the lack of facial detail and flat lighting dampens the emotional impact.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the 'whimsical' and 'charming' atmosphere much better through superior lighting and color grading, creating a professional cinematic look.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its vastly superior visual fidelity, lighting, and aesthetic appeal. While Video 2 adheres strictly to the 'static camera' constraint, it suffers from low resolution, facial distortion, and flat lighting. Video 1 provides a high-quality, cinematic interpretation with beautiful lighting and stable subject consistency, which outweighs its deviation from the camera movement instruction.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Constraint Adherence (Static vs. Moving)", "reason_1": "Video 1 completely ignores the 'static camera' instruction, utilizing a backward tracking shot (dolly out) where the background moves significantly.", "reason_2": "Video 2 adheres well to the prompt, maintaining a fixed camera position while the subjects move away from the lens.", "score_1": 1, "score_2": 9}, {"name": "Subject Attribute Fidelity (Girl & Dog)", "reason_1": "Video 1 renders the girl's yellow raincoat and red boots with high detail and realistic texture. The dog is also well-defined.", "reason_2": "Video 2 includes the correct attributes, but the rendering is flatter and less detailed; the dog appears somewhat generic and lacks the 'fluffy' texture definition seen in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Environmental Detail (Street & Decor)", "reason_1": "Video 1 creates a highly detailed, picturesque street with distinct cobblestones and vibrant window boxes, matching the 'storybook' description well.", "reason_2": "Video 2 depicts the environment correctly, but the textures are blurrier and the depth of the street feels less expansive.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 wins this category primarily because it respects the 'static camera' constraint, whereas Video 1 ignores it completely. However, Video 1 is more accurate in rendering the specific textures and attributes of the subjects.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-resolution textures on the clothing, hair, and cobblestones.", "reason_2": "The image is soft, blurry, and lacks fine detail, resembling a lower-resolution generation.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity & Facial Stability", "reason_1": "The girl's face remains consistent and recognizable throughout the clip, maintaining a pleasant expression.", "reason_2": "The girl's face suffers from significant distortion and morphing artifacts as she moves, losing identity consistency.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The running motion is fluid and energetic, though there is some minor 'sliding' of feet on the ground.", "reason_2": "The motion is somewhat jerky and the dog's movement feels floaty and disconnected from the ground.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 dominates this category with high-definition clarity, stable subject identity, and smooth motion. Video 2 appears low-resolution with noticeable artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Shadows", "reason_1": "Video 1 beautifully renders the 'sunlight filtering through leaves' and 'playful shadows' requested in the prompt, creating a warm, whimsical mood.", "reason_2": "Video 2 has flat, uniform lighting that fails to evoke the specific atmospheric depth described in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Overall Visual Appeal", "reason_1": "The composition, color grading, and clarity make for a highly aesthetically pleasing video.", "reason_2": "The visual appeal is low due to the blurriness and lack of dynamic lighting.", "score_1": 8, "score_2": 2}, {"name": "Narrative Energy (Joyful Stroll)", "reason_1": "The girl's expression and energetic movement effectively convey the 'joyful' and 'charming' narrative.", "reason_2": "The narrative is present, but the lack of facial detail and flat lighting dampens the emotional impact.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the 'whimsical' and 'charming' atmosphere much better through superior lighting and color grading, creating a professional cinematic look.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its vastly superior visual fidelity, lighting, and aesthetic appeal. While Video 2 adheres strictly to the 'static camera' constraint, it suffers from low resolution, facial distortion, and flat lighting. Video 1 provides a high-quality, cinematic interpretation with beautiful lighting and stable subject consistency, which outweighs its deviation from the camera movement instruction.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 62.0, "total_score_2": 28.0, "elapsed_sec": 56.945} +{"pair_id": "022_seed_42", "sample_index": 22, "seed": 42, "prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_42_A close-up view reveals an elegantly set restauran.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_42_A close-up view reveals an elegantly set restauran.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_42_A close-up view reveals an elegantly set restauran.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_42_A close-up view reveals an elegantly set restauran.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Wine Color)\", \"reason_1\": \"Video 1 correctly renders the 'deep red wine' specified in the prompt.\", \"reason_2\": \"Video 2 completely fails this instruction, rendering a glass of white or champagne-colored liquid.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Subject Completeness (Candle & Bread)\", \"reason_1\": \"Video 1 clearly displays the flickering candle and the bread basket as requested.\", \"reason_2\": \"Video 2 fails to show the candle clearly and the bread basket is distorted and difficult to identify.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Food Presentation Accuracy\", \"reason_1\": \"The steak, fries, and salad are distinct, well-plated, and match the 'elegantly set' description.\", \"reason_2\": \"The food items are present but the presentation is messy, and the fries appear to be morphing into the bread basket.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 followed all specific attribute instructions, particularly the color of the wine and the presence of the candle. Video 2 failed a major attribute check by generating white wine instead of red.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"All objects maintain their shape and solidity throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the bread basket and fries melt and shift shape unnaturally during the camera move.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Textures of the meat glaze, lettuce, and glass are sharp and realistic.\", \"reason_2\": \"The image is softer, and textures (especially the bread and basket) look plastic and generated.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction\", \"reason_1\": \"The lighting realistically reflects off the wine glass and the glaze on the steak.\", \"reason_2\": \"Lighting is flat and does not interact convincingly with the moving objects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 suffers from significant morphological instability, where objects warp and change shape during the camera movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Warmth & Glow)\", \"reason_1\": \"The video successfully captures the 'warm, inviting glow' requested, creating a cozy dining atmosphere.\", \"reason_2\": \"The lighting is cooler and more clinical, lacking the inviting warmth described in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, showcasing the feast effectively in a close-up view.\", \"reason_2\": \"The camera movement feels aimless and the framing cuts off key elements awkwardly.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Appetizing Appeal\", \"reason_1\": \"The food looks delicious and high-quality, fitting the 'sumptuous feast' description.\", \"reason_2\": \"The morphing food and incorrect wine color make the scene unappetizing.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the 'warm, inviting glow' and elegant atmosphere perfectly. Video 2 feels colder and the chaotic camera movement detracts from the dining aesthetic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to all semantic details of the prompt, specifically correctly rendering the 'deep red wine' and the 'flickering candle,' both of which Video 2 fails to do (showing white wine and no clear candle). Furthermore, Video 1 maintains superior object stability, whereas Video 2 suffers from severe morphing artifacts where the bread basket and fries distort unnaturally.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Wine Color)", "reason_1": "Video 1 correctly renders the 'deep red wine' specified in the prompt.", "reason_2": "Video 2 completely fails this instruction, rendering a glass of white or champagne-colored liquid.", "score_1": 10, "score_2": 0}, {"name": "Subject Completeness (Candle & Bread)", "reason_1": "Video 1 clearly displays the flickering candle and the bread basket as requested.", "reason_2": "Video 2 fails to show the candle clearly and the bread basket is distorted and difficult to identify.", "score_1": 9, "score_2": 1}, {"name": "Food Presentation Accuracy", "reason_1": "The steak, fries, and salad are distinct, well-plated, and match the 'elegantly set' description.", "reason_2": "The food items are present but the presentation is messy, and the fries appear to be morphing into the bread basket.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 followed all specific attribute instructions, particularly the color of the wine and the presence of the candle. Video 2 failed a major attribute check by generating white wine instead of red.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "All objects maintain their shape and solidity throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the bread basket and fries melt and shift shape unnaturally during the camera move.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Textures of the meat glaze, lettuce, and glass are sharp and realistic.", "reason_2": "The image is softer, and textures (especially the bread and basket) look plastic and generated.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction", "reason_1": "The lighting realistically reflects off the wine glass and the glaze on the steak.", "reason_2": "Lighting is flat and does not interact convincingly with the moving objects.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 suffers from significant morphological instability, where objects warp and change shape during the camera movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Warmth & Glow)", "reason_1": "The video successfully captures the 'warm, inviting glow' requested, creating a cozy dining atmosphere.", "reason_2": "The lighting is cooler and more clinical, lacking the inviting warmth described in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The framing is balanced, showcasing the feast effectively in a close-up view.", "reason_2": "The camera movement feels aimless and the framing cuts off key elements awkwardly.", "score_1": 8, "score_2": 2}, {"name": "Appetizing Appeal", "reason_1": "The food looks delicious and high-quality, fitting the 'sumptuous feast' description.", "reason_2": "The morphing food and incorrect wine color make the scene unappetizing.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the 'warm, inviting glow' and elegant atmosphere perfectly. Video 2 feels colder and the chaotic camera movement detracts from the dining aesthetic.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to all semantic details of the prompt, specifically correctly rendering the 'deep red wine' and the 'flickering candle,' both of which Video 2 fails to do (showing white wine and no clear candle). Furthermore, Video 1 maintains superior object stability, whereas Video 2 suffers from severe morphing artifacts where the bread basket and fries distort unnaturally.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 52.81} +{"pair_id": "024_seed_930", "sample_index": 24, "seed": 930, "prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_024_seed_930_A close-up shot reveals a vibrant plate of Kung Pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Ingredient Completeness & Identification\", \"reason_1\": \"Video 1 clearly displays the chicken, peanuts, peppers, chilies, and rice as requested.\", \"reason_2\": \"Video 2 also displays all required ingredients with high clarity and correct identification.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Dynamic Attribute: Rising Steam\", \"reason_1\": \"Video 1 fails to generate the 'wisps of steam' explicitly requested in the prompt; the scene is static in terms of atmospheric effects.\", \"reason_2\": \"Video 2 features prominent, realistic steam rising from the dish, perfectly aligning with the prompt's description of a hot, freshly prepared meal.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Fidelity: Glossy Sauce\", \"reason_1\": \"Video 1 renders the sauce as glossy, but the texture appears slightly plastic and uniform.\", \"reason_2\": \"Video 2 renders the sauce with a more realistic viscosity and light interaction, making it look genuinely savory and clinging to the ingredients.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures all semantic elements, including the critical dynamic attribute of rising steam, which Video 1 completely misses.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"The textures in Video 1, particularly the rice and chicken, look somewhat artificial and lack organic imperfection.\", \"reason_2\": \"Video 2 achieves a high level of photorealism; the rice grains, chicken surface, and vegetable skins look indistinguishable from real footage.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Particle Physics (Steam Simulation)\", \"reason_1\": \"There is no particle simulation present in Video 1.\", \"reason_2\": \"Video 2 handles the complex physics of rising steam well, with natural dissipation and movement that adds significant realism.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting & Specular Highlights\", \"reason_1\": \"Lighting in Video 1 is flat, resulting in less depth and less effective highlighting of the food's texture.\", \"reason_2\": \"Video 2 utilizes dynamic lighting that creates realistic specular highlights on the sauce, enhancing the perception of wetness and freshness.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior photorealism, particularly in lighting and particle physics (steam), whereas Video 1 looks more like a static 3D render.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Sensory Appeal (Mouthwatering Quality)\", \"reason_1\": \"The static nature and slightly artificial look of Video 1 reduce its appetizing quality.\", \"reason_2\": \"The combination of steam, glistening sauce, and warm lighting in Video 2 effectively evokes the 'tantalizing aroma' and 'mouthwatering' feel described in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 is framed very tightly, cutting off parts of the dish and making the composition feel slightly claustrophobic.\", \"reason_2\": \"Video 2 uses a slightly wider close-up that allows the viewer to see the arrangement of the food and the rising steam, creating a more balanced image.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Vibrancy & Harmony\", \"reason_1\": \"Video 1 has vibrant colors, but they lean slightly towards oversaturation.\", \"reason_2\": \"Video 2 maintains vibrant colors (reds and greens) while keeping them grounded in a realistic color palette.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 succeeds in creating the 'mouthwatering' and 'inviting' atmosphere requested, while Video 1 feels more clinical and less appetizing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it successfully generates the 'wisps of steam' explicitly requested in the prompt, creating a dynamic and realistic sense of heat and freshness. Video 1, while visually clear, lacks this crucial atmospheric element and appears more static and artificial. Video 2 also excels in photorealism, lighting, and appetizing texture rendering.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A close-up shot reveals a vibrant plate of Kung Pao Chicken, where tender chicken pieces glisten with a glossy, savory sauce. The dish is adorned with crunchy peanuts, vibrant red and green bell peppers, and fiery red chilies, all nestled atop a bed of fluffy white rice. Wisps of steam rise gently from the plate, carrying the tantalizing aroma of garlic, ginger, and soy sauce. The rich, spicy glaze clings to each ingredient, promising a delightful burst of flavor. The scene captures the essence of a freshly prepared, mouthwatering meal, inviting viewers to savor its deliciousness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Ingredient Completeness & Identification", "reason_1": "Video 1 clearly displays the chicken, peanuts, peppers, chilies, and rice as requested.", "reason_2": "Video 2 also displays all required ingredients with high clarity and correct identification.", "score_1": 5, "score_2": 5}, {"name": "Dynamic Attribute: Rising Steam", "reason_1": "Video 1 fails to generate the 'wisps of steam' explicitly requested in the prompt; the scene is static in terms of atmospheric effects.", "reason_2": "Video 2 features prominent, realistic steam rising from the dish, perfectly aligning with the prompt's description of a hot, freshly prepared meal.", "score_1": 1, "score_2": 9}, {"name": "Texture Fidelity: Glossy Sauce", "reason_1": "Video 1 renders the sauce as glossy, but the texture appears slightly plastic and uniform.", "reason_2": "Video 2 renders the sauce with a more realistic viscosity and light interaction, making it look genuinely savory and clinging to the ingredients.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures all semantic elements, including the critical dynamic attribute of rising steam, which Video 1 completely misses.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Photorealistic Texture Rendering", "reason_1": "The textures in Video 1, particularly the rice and chicken, look somewhat artificial and lack organic imperfection.", "reason_2": "Video 2 achieves a high level of photorealism; the rice grains, chicken surface, and vegetable skins look indistinguishable from real footage.", "score_1": 3, "score_2": 7}, {"name": "Particle Physics (Steam Simulation)", "reason_1": "There is no particle simulation present in Video 1.", "reason_2": "Video 2 handles the complex physics of rising steam well, with natural dissipation and movement that adds significant realism.", "score_1": 1, "score_2": 9}, {"name": "Lighting & Specular Highlights", "reason_1": "Lighting in Video 1 is flat, resulting in less depth and less effective highlighting of the food's texture.", "reason_2": "Video 2 utilizes dynamic lighting that creates realistic specular highlights on the sauce, enhancing the perception of wetness and freshness.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior photorealism, particularly in lighting and particle physics (steam), whereas Video 1 looks more like a static 3D render.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Sensory Appeal (Mouthwatering Quality)", "reason_1": "The static nature and slightly artificial look of Video 1 reduce its appetizing quality.", "reason_2": "The combination of steam, glistening sauce, and warm lighting in Video 2 effectively evokes the 'tantalizing aroma' and 'mouthwatering' feel described in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "Video 1 is framed very tightly, cutting off parts of the dish and making the composition feel slightly claustrophobic.", "reason_2": "Video 2 uses a slightly wider close-up that allows the viewer to see the arrangement of the food and the rising steam, creating a more balanced image.", "score_1": 4, "score_2": 6}, {"name": "Color Vibrancy & Harmony", "reason_1": "Video 1 has vibrant colors, but they lean slightly towards oversaturation.", "reason_2": "Video 2 maintains vibrant colors (reds and greens) while keeping them grounded in a realistic color palette.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 succeeds in creating the 'mouthwatering' and 'inviting' atmosphere requested, while Video 1 feels more clinical and less appetizing.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it successfully generates the 'wisps of steam' explicitly requested in the prompt, creating a dynamic and realistic sense of heat and freshness. Video 1, while visually clear, lacks this crucial atmospheric element and appears more static and artificial. Video 2 also excels in photorealism, lighting, and appetizing texture rendering.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 55.688} +{"pair_id": "027_seed_310", "sample_index": 27, "seed": 310, "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_310_A lively group of Asian teenagers dressed in vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_310_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_310_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_310_A lively group of Asian teenagers dressed in vibra.mp4", "swapped": false, "success": true, "model_output": "The user wants me to compare two videos based on a specific prompt. I need to evaluate them across three mandatory categories (Semantic Alignment, Video Quality, Narrative & Aesthetics) and up to two optional ones. I will select one optional category: 'Action Specificity & Physics' because the prompt describes a specific sport (table tennis) with specific actions (striking the ball).\n\n**Video 1 Analysis:**\n- **Semantic Alignment:** It shows Asian teenagers, sportswear, and a table tennis table. The setting is correct. However, the action is static; they are mostly standing around or making small, awkward movements rather than \"darting around.\" The specific instruction for a \"close-up of a paddle striking the ball\" is not clearly executed as a distinct narrative beat.\n- **Video Quality:** The video quality is poor. Faces are heavily distorted and morph constantly (e.g., the boy in the white shirt). The background characters are blurry and lack definition. The motion is jerky and unnatural.\n- **Narrative & Aesthetics:** The composition is flat and uninspired. The lighting is dull. The severe artifacts and morphing faces destroy any aesthetic appeal or narrative flow.\n- **Action Specificity:** The paddle interaction is non-existent or glitchy. The ball is barely visible or behaves like a ghost. There is no sense of a game being played.\n\n**Video 2 Analysis:**\n- **Semantic Alignment:** It captures the \"lively group,\" \"vibrant sportswear,\" and \"lush greenery\" very well. The expressions of \"concentration and joy\" are clearly visible. It attempts the camera shift to a close-up (though it focuses on the face rather than the paddle strike). The energy matches the prompt better than Video 1.\n- **Video Quality:** While still suffering from AI artifacts (morphing faces), the overall image is sharper, the colors are more vibrant, and the lighting is better. The motion blur is present but feels slightly more integrated into the action than the glitchy movement of Video 1.\n- **Narrative & Aesthetics:** The video has a more cinematic look with better depth of field and color grading. The composition changes (wide to close-up) create a sense of narrative progression, even if the specific action (paddle strike) is missed.\n- **Action Specificity:** The characters are cheering and moving, but the actual table tennis mechanics are flawed. Paddles merge with hands, and the ball physics are absent. It captures the *spirit* of the action but fails the *physics*.\n\n**Comparison:**\nVideo 2 is superior in almost every metric. It captures the energy, the specific lighting (\"warm glow\"), and the emotional tone (\"joy,\" \"laughter\") much better than Video 1. Video 1 is static, dull, and suffers from severe morphological instability. While both fail to perfectly render the specific physics of table tennis or the precise \"paddle striking ball\" close-up, Video 2 provides a much more visually pleasing and semantically aligned result regarding the atmosphere and setting.\n\n**Categories & Dimensions:**\n\n1. **A. Semantic Alignment & Accuracy**\n * *Subject & Attribute Fidelity:* Both videos generate the correct subjects (Asian teenagers) and clothing. Video 2's clothing looks more distinct and vibrant.\n * *Action & Movement Logic:* The prompt asks for \"swift movements\" and \"darting around.\" Video 2 shows active cheering and movement, whereas Video 1 is largely static.\n * *Environmental Context (Lighting/Greenery):* Video 2 captures the \"warm glow\" and \"lush greenery\" effectively. Video 1 looks washed out and flat.\n\n2. **B. Video Quality & Dynamic Realism**\n * *Morphological Stability (Faces):* Both fail here significantly. Faces melt and change shape. Video 2 is slightly more stable in the wide shots but breaks down in the close-up. Video 1 is unstable throughout.\n * *Visual Fidelity & Clarity:* Video 2 has better resolution, contrast, and color depth. Video 1 looks like a low-quality, blurry generation.\n * *Motion Smoothness:* Video 2 has smoother transitions between frames, despite the morphing. Video 1 is jerky.\n\n3. **C. Narrative, Aesthetics & Cinematography**\n * *Cinematic Composition & Depth:* Video 2 uses depth of field and framing changes to create a more professional look. Video 1 is flat.\n * *Emotional Impact (Joy/Energy):* Video 2 successfully conveys the \"lively\" and \"joyful\" mood requested. Video 1 feels awkward and lifeless.\n * *Camera Movement Quality:* Video 2 attempts a dynamic camera move (zoom/cut to close-up), aligning with the prompt's structural request. Video 1 has a shaky, handheld feel that adds nothing.\n\n4. **D. Action Specificity & Physics (Personalized Category)**\n * *Sport Mechanics (Paddle/Ball Interaction):* Both fail to show a realistic game. Video 2 is slightly better as the characters are at least positioned for a rally, whereas Video 1's positioning is confusing.\n * *Prompt-Specific Shot Execution (Close-up):* The prompt asks for a close-up of a *paddle striking the ball*. Video 2 provides a close-up of a *face*. Both fail this specific instruction, but Video 2's close-up is at least high quality.\n\n**Conclusion:** Video 2 wins due to better aesthetics, lighting, and energy, despite both videos struggling with the complex physics of the sport and facial stability.\n\n---\n**JSON Output Construction**\n- Fill in scores based on the reasoning above. Video 2 consistently scores higher.\n- Ensure valid JSON syntax.\n- Adhere to the formatting rules.\n\n(Self-Correction during drafting): Make sure to explicitly mention the failure of both to render the specific \"paddle striking ball\" close-up, but weigh Video 2's superior visual presentation heavily.\n\nFinal check of the prompt requirements: \"warm glow\", \"beads of sweat\", \"close-up of a paddle striking the ball\".\nVideo 2 has the glow. Video 1 does not.\nVideo 2 has a close-up (of a face). Video 1 has no distinct close-up.\nVideo 2 has better \"vibrant sportswear\".\nVideo 2 is the clear winner.\n\nFinal JSON structure preparation.\nCategory A: Semantic Alignment.\nCategory B: Video Quality.\nCategory C: Narrative & Aesthetics.\nCategory D: Action Specificity.\n\nScores:\nA: V1(3), V2(7)\nB: V1(2), V2(8)\nC: V1(3), V2(7)\nD: V1(4), V2(6)\n\nTotal: V1(9), V2(23). V2 wins.\nThe reasoning is solid. I will now generate the output.\n\n\n{\"prompt\": \"A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric & Lighting Fidelity\", \"reason_1\": \"Video 1 has flat, dull lighting that fails to capture the 'warm glow' or the 'lush' feeling of the environment.\", \"reason_2\": \"Video 2 successfully renders a warm, sunlit atmosphere with vibrant colors that match the 'lush greenery' and 'warm glow' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Expression & Energy\", \"reason_1\": \"The subjects in Video 1 appear stiff and their expressions are marred by distortion, failing to convey 'joy' or 'concentration'.\", \"reason_2\": \"Video 2 clearly depicts the 'laughter and shouts of encouragement' and 'joy' requested, with distinct facial expressions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Movement & Shot Progression\", \"reason_1\": \"Video 1 remains in a static wide shot throughout, ignoring the prompt's instruction for the scene to shift to a close-up.\", \"reason_2\": \"Video 2 attempts the requested narrative shift, moving from a group shot to a close-up (albeit of a face rather than the paddle), showing better adherence to the cinematic structure.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 aligns much closer to the atmospheric and emotional requirements of the prompt, capturing the 'warm glow' and 'lively' energy, whereas Video 1 is static and dull.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Color Grading\", \"reason_1\": \"The image is blurry, low-contrast, and lacks detail, resembling a low-quality generation.\", \"reason_2\": \"The video is sharp, with good contrast and vibrant color saturation that enhances the visual appeal.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability (Faces)\", \"reason_1\": \"Faces are heavily distorted and morph unnaturally throughout the clip, creating a disturbing effect.\", \"reason_2\": \"While still suffering from AI artifacts, the faces in Video 2 are more coherent in the wide shots and the close-up is relatively distinct.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"The motion is jerky and stilted, lacking the smoothness expected of a video.\", \"reason_2\": \"The motion is smoother and more fluid, better simulating the 'swift movements' requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers significantly better resolution, color grading, and motion fluidity compared to the low-fidelity and glitchy presentation of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The composition is flat and uninteresting, with no separation between subject and background.\", \"reason_2\": \"Video 2 utilizes depth of field effectively, separating the subjects from the background and creating a more professional look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"The video fails to evoke any positive emotion due to the uncanny valley effect of the distorted faces.\", \"reason_2\": \"The video successfully conveys a mood of youthful energy and fun, aligning with the 'spirited match' narrative.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to poor lighting and artifacts.\", \"reason_2\": \"Despite the physics errors, the video is visually engaging and colorful.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 presents a much more cinematic and aesthetically pleasing clip, utilizing depth of field and color to create a mood, whereas Video 1 looks like a raw, unpolished generation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Action Specificity & Physics\", \"dims\": [{\"name\": \"Sport Mechanics (Paddle/Ball Interaction)\", \"reason_1\": \"The interaction is barely visible; the ball is a blur and the paddles do not seem to make logical contact.\", \"reason_2\": \"While the physics are still flawed (paddles merging with hands), the characters are clearly engaged in the act of playing, making it slightly more recognizable as the sport.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Prompt-Specific Shot Execution (Close-up)\", \"reason_1\": \"Video 1 completely fails to provide the requested close-up shot.\", \"reason_2\": \"Video 2 provides a close-up shot. Although it misses the specific object (paddle) requested, it fulfills the structural requirement of a close-up better than Video 1.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Group Dynamics & Interaction\", \"reason_1\": \"The characters feel isolated in their own space, lacking the 'strong team dynamics' requested.\", \"reason_2\": \"The characters are cheering and reacting to each other, effectively showcasing the 'team dynamics' and 'shouts of encouragement'.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"While both videos fail to accurately render the physics of table tennis, Video 2 captures the 'spirit' of the action and the group dynamic better than the disjointed movements in Video 1.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, color grading, and emotional expression. It successfully captures the 'warm glow' and 'lively' atmosphere requested in the prompt, whereas Video 1 suffers from flat lighting and severe morphological distortion. While both videos struggle with the specific physics of the table tennis action and the precise 'paddle striking ball' close-up, Video 2 offers a more cinematic composition and better adherence to the requested camera movement (shifting to a close-up).\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric & Lighting Fidelity", "reason_1": "Video 1 has flat, dull lighting that fails to capture the 'warm glow' or the 'lush' feeling of the environment.", "reason_2": "Video 2 successfully renders a warm, sunlit atmosphere with vibrant colors that match the 'lush greenery' and 'warm glow' description.", "score_1": 2, "score_2": 8}, {"name": "Subject Expression & Energy", "reason_1": "The subjects in Video 1 appear stiff and their expressions are marred by distortion, failing to convey 'joy' or 'concentration'.", "reason_2": "Video 2 clearly depicts the 'laughter and shouts of encouragement' and 'joy' requested, with distinct facial expressions.", "score_1": 3, "score_2": 7}, {"name": "Camera Movement & Shot Progression", "reason_1": "Video 1 remains in a static wide shot throughout, ignoring the prompt's instruction for the scene to shift to a close-up.", "reason_2": "Video 2 attempts the requested narrative shift, moving from a group shot to a close-up (albeit of a face rather than the paddle), showing better adherence to the cinematic structure.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 aligns much closer to the atmospheric and emotional requirements of the prompt, capturing the 'warm glow' and 'lively' energy, whereas Video 1 is static and dull.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Color Grading", "reason_1": "The image is blurry, low-contrast, and lacks detail, resembling a low-quality generation.", "reason_2": "The video is sharp, with good contrast and vibrant color saturation that enhances the visual appeal.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability (Faces)", "reason_1": "Faces are heavily distorted and morph unnaturally throughout the clip, creating a disturbing effect.", "reason_2": "While still suffering from AI artifacts, the faces in Video 2 are more coherent in the wide shots and the close-up is relatively distinct.", "score_1": 3, "score_2": 7}, {"name": "Motion Fluidity", "reason_1": "The motion is jerky and stilted, lacking the smoothness expected of a video.", "reason_2": "The motion is smoother and more fluid, better simulating the 'swift movements' requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers significantly better resolution, color grading, and motion fluidity compared to the low-fidelity and glitchy presentation of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "The composition is flat and uninteresting, with no separation between subject and background.", "reason_2": "Video 2 utilizes depth of field effectively, separating the subjects from the background and creating a more professional look.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact & Mood", "reason_1": "The video fails to evoke any positive emotion due to the uncanny valley effect of the distorted faces.", "reason_2": "The video successfully conveys a mood of youthful energy and fun, aligning with the 'spirited match' narrative.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to poor lighting and artifacts.", "reason_2": "Despite the physics errors, the video is visually engaging and colorful.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 presents a much more cinematic and aesthetically pleasing clip, utilizing depth of field and color to create a mood, whereas Video 1 looks like a raw, unpolished generation.", "cat_winner": "Video 2"}, {"name": "D. Action Specificity & Physics", "dims": [{"name": "Sport Mechanics (Paddle/Ball Interaction)", "reason_1": "The interaction is barely visible; the ball is a blur and the paddles do not seem to make logical contact.", "reason_2": "While the physics are still flawed (paddles merging with hands), the characters are clearly engaged in the act of playing, making it slightly more recognizable as the sport.", "score_1": 4, "score_2": 6}, {"name": "Prompt-Specific Shot Execution (Close-up)", "reason_1": "Video 1 completely fails to provide the requested close-up shot.", "reason_2": "Video 2 provides a close-up shot. Although it misses the specific object (paddle) requested, it fulfills the structural requirement of a close-up better than Video 1.", "score_1": 1, "score_2": 9}, {"name": "Group Dynamics & Interaction", "reason_1": "The characters feel isolated in their own space, lacking the 'strong team dynamics' requested.", "reason_2": "The characters are cheering and reacting to each other, effectively showcasing the 'team dynamics' and 'shouts of encouragement'.", "score_1": 3, "score_2": 7}], "cat_reason": "While both videos fail to accurately render the physics of table tennis, Video 2 captures the 'spirit' of the action and the group dynamic better than the disjointed movements in Video 1.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, color grading, and emotional expression. It successfully captures the 'warm glow' and 'lively' atmosphere requested in the prompt, whereas Video 1 suffers from flat lighting and severe morphological distortion. While both videos struggle with the specific physics of the table tennis action and the precise 'paddle striking ball' close-up, Video 2 offers a more cinematic composition and better adherence to the requested camera movement (shifting to a close-up).", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 29.0, "total_score_2": 91.0, "elapsed_sec": 143.692} +{"pair_id": "030_seed_42", "sample_index": 30, "seed": 42, "prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_42_A static camera captures a seamless sequence as a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_42_A static camera captures a seamless sequence as a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_42_A static camera captures a seamless sequence as a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_42_A static camera captures a seamless sequence as a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Fidelity (Lighting & Mood)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'mysterious' atmosphere requested.\", \"reason_2\": \"Video 2 presents a brightly lit, sterile room that completely ignores the 'dimly lit' and 'mystery' constraints.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Sequence Completeness (Enter, Pause, Exit)\", \"reason_1\": \"Video 1 depicts the full sequence: entering, pausing to look, and exiting the frame.\", \"reason_2\": \"Video 2 fails to show the subject entering or exiting; the subject simply walks across the middle of the room and stops.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Coat, Hat, Silhouette)\", \"reason_1\": \"Video 1 renders the long coat and hat correctly, and attempts the 'silhouette' effect via backlighting.\", \"reason_2\": \"Video 2 renders the clothing but fails the 'silhouette' requirement due to the flat, bright lighting.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 adheres strictly to the atmospheric and action-based requirements of the prompt, whereas Video 2 fails to generate the correct lighting conditions and the required entry/exit actions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is somewhat blurry and lacks high-frequency detail.\", \"reason_2\": \"Video 2 is crisp, clear, and has high texture resolution on the floor and walls.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject in Video 1 remains consistent in form and clothing throughout the clip.\", \"reason_2\": \"The subject in Video 2 completely vanishes from the frame halfway through the video, a major hallucination failure.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Grounding & Physics\", \"reason_1\": \"The movement in Video 1 feels slightly 'floaty' and lacks weight.\", \"reason_2\": \"Video 2 displays realistic foot placement and weight distribution while the subject is visible.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"While Video 2 has superior static image quality, it suffers from a catastrophic failure in subject persistence (the subject disappears). Video 1 is lower resolution but maintains the subject's existence throughout.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Flow & Closure\", \"reason_1\": \"Video 1 has a clear beginning (entry), middle (search), and end (exit), fulfilling the narrative arc.\", \"reason_2\": \"Video 2 feels like a random fragment with no start or conclusion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Tone & Color Grading\", \"reason_1\": \"The color grading in Video 1 evokes a vintage, noir-like mystery appropriate for the prompt.\", \"reason_2\": \"The lighting in Video 2 is clinical and flat, lacking any cinematic aesthetic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses the doorway to frame the subject, adding depth and interest.\", \"reason_2\": \"Video 2 uses a flat, wide shot that feels impersonal and staged.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully tells the short story described in the prompt with a cinematic tone. Video 2 lacks narrative closure and aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific atmospheric requirements (dim lighting, mystery) and the complete narrative arc (entering, pausing, and exiting). Video 2, while having higher resolution, fails significantly on semantic alignment by presenting a brightly lit room instead of a dim one, and the subject vanishes mid-clip rather than performing the requested exit action.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Fidelity (Lighting & Mood)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'mysterious' atmosphere requested.", "reason_2": "Video 2 presents a brightly lit, sterile room that completely ignores the 'dimly lit' and 'mystery' constraints.", "score_1": 9, "score_2": 1}, {"name": "Action Sequence Completeness (Enter, Pause, Exit)", "reason_1": "Video 1 depicts the full sequence: entering, pausing to look, and exiting the frame.", "reason_2": "Video 2 fails to show the subject entering or exiting; the subject simply walks across the middle of the room and stops.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Coat, Hat, Silhouette)", "reason_1": "Video 1 renders the long coat and hat correctly, and attempts the 'silhouette' effect via backlighting.", "reason_2": "Video 2 renders the clothing but fails the 'silhouette' requirement due to the flat, bright lighting.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 adheres strictly to the atmospheric and action-based requirements of the prompt, whereas Video 2 fails to generate the correct lighting conditions and the required entry/exit actions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is somewhat blurry and lacks high-frequency detail.", "reason_2": "Video 2 is crisp, clear, and has high texture resolution on the floor and walls.", "score_1": 3, "score_2": 7}, {"name": "Subject Identity Persistence", "reason_1": "The subject in Video 1 remains consistent in form and clothing throughout the clip.", "reason_2": "The subject in Video 2 completely vanishes from the frame halfway through the video, a major hallucination failure.", "score_1": 8, "score_2": 2}, {"name": "Motion Grounding & Physics", "reason_1": "The movement in Video 1 feels slightly 'floaty' and lacks weight.", "reason_2": "Video 2 displays realistic foot placement and weight distribution while the subject is visible.", "score_1": 4, "score_2": 6}], "cat_reason": "While Video 2 has superior static image quality, it suffers from a catastrophic failure in subject persistence (the subject disappears). Video 1 is lower resolution but maintains the subject's existence throughout.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Flow & Closure", "reason_1": "Video 1 has a clear beginning (entry), middle (search), and end (exit), fulfilling the narrative arc.", "reason_2": "Video 2 feels like a random fragment with no start or conclusion.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Tone & Color Grading", "reason_1": "The color grading in Video 1 evokes a vintage, noir-like mystery appropriate for the prompt.", "reason_2": "The lighting in Video 2 is clinical and flat, lacking any cinematic aesthetic.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 uses the doorway to frame the subject, adding depth and interest.", "reason_2": "Video 2 uses a flat, wide shot that feels impersonal and staged.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully tells the short story described in the prompt with a cinematic tone. Video 2 lacks narrative closure and aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific atmospheric requirements (dim lighting, mystery) and the complete narrative arc (entering, pausing, and exiting). Video 2, while having higher resolution, fails significantly on semantic alignment by presenting a brightly lit room instead of a dim one, and the subject vanishes mid-clip rather than performing the requested exit action.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 53.666} +{"pair_id": "032_seed_930", "sample_index": 32, "seed": 930, "prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_032_seed_930_A charming Korean male star dressed in a casual wh.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Crafting with Precision)\", \"reason_1\": \"Video 1 depicts the subject handling the sushi with distinct, logical hand movements that resemble actual preparation.\", \"reason_2\": \"Video 2 shows the subject pressing on a morphing object; the action lacks the 'precision and grace' requested and feels like a glitchy interaction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Definition (Sushi Representation)\", \"reason_1\": \"The sushi in Video 1 has recognizable textures (rice, seaweed, filling) and maintains its identity as food.\", \"reason_2\": \"The object in Video 2 is a hallucinated, grey, web-like mass that does not resemble sushi or any edible food item.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Forest & Stream)\", \"reason_1\": \"Video 1 integrates the subject well into the sun-dappled forest setting with a visible stream.\", \"reason_2\": \"Video 2 also features a high-quality forest background with a stream, matching the prompt's setting requirements equally well.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Attributes (Attire & Appearance)\", \"reason_1\": \"The subject correctly wears a white t-shirt and jeans, fitting the 'casual' description.\", \"reason_2\": \"The subject also matches the attire description perfectly, with a clean white t-shirt and jeans.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 accurately depicts the core action of 'crafting sushi' with a recognizable object. Video 2 fails the semantic requirement of the object itself, rendering a distorted mass instead of sushi.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The sushi roll remains solid and consistent in shape throughout the clip.\", \"reason_2\": \"The sushi object constantly changes shape, texture, and size, exhibiting severe temporal instability.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Interaction)\", \"reason_1\": \"The hands interact with the object in a way that respects solidity and friction.\", \"reason_2\": \"The hands appear to clip through or merge with the object, lacking physical grounding.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is sharp, with clear details on the face and clothing.\", \"reason_2\": \"The video is equally sharp and high-resolution, despite the content errors.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 maintains high stability and realism. Video 2 is plagued by severe morphological instability where the main object (sushi) and hands warp and merge unnaturally.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Prep to Presentation)\", \"reason_1\": \"The clip follows a logical flow: focusing on the work, then lifting the finished product to show it.\", \"reason_2\": \"The narrative is disrupted by the visual confusion of the object; the 'presentation' feels like showing a glitch rather than a culinary moment.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Emotional Impact (Charming & Warm)\", \"reason_1\": \"The subject's smile at the end feels genuine and enhances the 'delightful' mood requested.\", \"reason_2\": \"While the subject smiles, the uncanny nature of the morphing object creates a disturbing rather than charming atmosphere.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing focuses well on the hands and the table, balancing the subject and the environment.\", \"reason_2\": \"The framing is decent, but the camera movement feels slightly less intentional compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully conveys the 'delightful culinary moment' through a coherent sequence of events. Video 2's visual glitches break the immersion and aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior object permanence and physical realism. It successfully renders a recognizable sushi roll that maintains its shape and texture during the preparation process. In contrast, Video 2 suffers from severe hallucinations; the 'sushi' appears as a morphing, grey, web-like blob that defies physics and lacks the visual characteristics of food. While both videos capture the environment and subject well, Video 1's ability to depict the specific action of 'crafting' with precision makes it the much stronger generation.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Korean male star, dressed in a casual white t-shirt and jeans, stands in a sun-dappled forest clearing, surrounded by towering trees and vibrant greenery. He carefully prepares sushi on a rustic wooden table, his hands skillfully crafting each roll with precision and grace. The sunlight filters through the leaves, casting playful shadows on his focused expression. Nearby, a gentle stream babbles, adding a serene soundtrack to the scene. As he finishes, he presents the sushi with a warm smile, the forest's natural beauty enhancing the delightful culinary moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Crafting with Precision)", "reason_1": "Video 1 depicts the subject handling the sushi with distinct, logical hand movements that resemble actual preparation.", "reason_2": "Video 2 shows the subject pressing on a morphing object; the action lacks the 'precision and grace' requested and feels like a glitchy interaction.", "score_1": 8, "score_2": 2}, {"name": "Object Definition (Sushi Representation)", "reason_1": "The sushi in Video 1 has recognizable textures (rice, seaweed, filling) and maintains its identity as food.", "reason_2": "The object in Video 2 is a hallucinated, grey, web-like mass that does not resemble sushi or any edible food item.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Forest & Stream)", "reason_1": "Video 1 integrates the subject well into the sun-dappled forest setting with a visible stream.", "reason_2": "Video 2 also features a high-quality forest background with a stream, matching the prompt's setting requirements equally well.", "score_1": 5, "score_2": 5}, {"name": "Subject Attributes (Attire & Appearance)", "reason_1": "The subject correctly wears a white t-shirt and jeans, fitting the 'casual' description.", "reason_2": "The subject also matches the attire description perfectly, with a clean white t-shirt and jeans.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 accurately depicts the core action of 'crafting sushi' with a recognizable object. Video 2 fails the semantic requirement of the object itself, rendering a distorted mass instead of sushi.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The sushi roll remains solid and consistent in shape throughout the clip.", "reason_2": "The sushi object constantly changes shape, texture, and size, exhibiting severe temporal instability.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Interaction)", "reason_1": "The hands interact with the object in a way that respects solidity and friction.", "reason_2": "The hands appear to clip through or merge with the object, lacking physical grounding.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is sharp, with clear details on the face and clothing.", "reason_2": "The video is equally sharp and high-resolution, despite the content errors.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 maintains high stability and realism. Video 2 is plagued by severe morphological instability where the main object (sushi) and hands warp and merge unnaturally.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Prep to Presentation)", "reason_1": "The clip follows a logical flow: focusing on the work, then lifting the finished product to show it.", "reason_2": "The narrative is disrupted by the visual confusion of the object; the 'presentation' feels like showing a glitch rather than a culinary moment.", "score_1": 8, "score_2": 2}, {"name": "Emotional Impact (Charming & Warm)", "reason_1": "The subject's smile at the end feels genuine and enhances the 'delightful' mood requested.", "reason_2": "While the subject smiles, the uncanny nature of the morphing object creates a disturbing rather than charming atmosphere.", "score_1": 7, "score_2": 3}, {"name": "Composition & Framing", "reason_1": "The framing focuses well on the hands and the table, balancing the subject and the environment.", "reason_2": "The framing is decent, but the camera movement feels slightly less intentional compared to Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully conveys the 'delightful culinary moment' through a coherent sequence of events. Video 2's visual glitches break the immersion and aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior object permanence and physical realism. It successfully renders a recognizable sushi roll that maintains its shape and texture during the preparation process. In contrast, Video 2 suffers from severe hallucinations; the 'sushi' appears as a morphing, grey, web-like blob that defies physics and lacks the visual characteristics of food. While both videos capture the environment and subject well, Video 1's ability to depict the specific action of 'crafting' with precision makes it the much stronger generation.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 30.0, "elapsed_sec": 59.837} +{"pair_id": "035_seed_310", "sample_index": 35, "seed": 310, "prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_310_A joyful Chinese family gathers in a warmly lit li.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_310_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_310_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_310_A joyful Chinese family gathers in a warmly lit li.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Exchanging Envelopes)\", \"reason_1\": \"Video 1 clearly depicts the family members holding and waving red envelopes, aligning well with the prompt's instruction to 'exchange' them.\", \"reason_2\": \"Video 2 fails to render the red envelopes as distinct objects; they appear as large, undefined red shapes or cups that obscure the subjects' faces.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The subjects in Video 1 maintain recognizable human features and expressions throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe anatomical failures; the faces of the subjects (especially the woman in the center) melt and distort into unnatural shapes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental & Object Completeness\", \"reason_1\": \"Video 1 successfully includes the turkey, lanterns, and decorations in a coherent living room setting.\", \"reason_2\": \"Video 2 also successfully generates the required environmental elements, including the turkey and festive decor, matching Video 1 in this specific regard.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 accurately depicts the specific action of exchanging red envelopes and maintains the structural integrity of the human subjects, whereas Video 2 fails to render the envelopes clearly and distorts the subjects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Hands)\", \"reason_1\": \"Video 1 maintains the shape and identity of the faces and hands with minimal distortion during movement.\", \"reason_2\": \"Video 2 exhibits extreme morphing; faces lose their structure entirely, turning into blurry or distorted textures during the motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Persistence (Red Envelopes)\", \"reason_1\": \"The red envelopes in Video 1 remain relatively consistent in size and shape as they are moved.\", \"reason_2\": \"The red objects in Video 2 fluctuate wildly in size and shape, appearing to merge with the subjects' hands or faces.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The movement in Video 1 is fluid and natural, mimicking a real video recording.\", \"reason_2\": \"The motion in Video 2 is jerky and unnatural, driven by the morphing of the subjects rather than realistic physical movement.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior stability and consistency. Video 2 is plagued by significant artifacts, morphing, and loss of subject identity over time.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity\", \"reason_1\": \"The expressions in Video 1 genuinely convey joy and laughter, fitting the 'warmth and togetherness' description.\", \"reason_2\": \"The distorted faces in Video 2 create an uncanny and disturbing effect, completely failing to convey the intended joy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Appeal & Composition\", \"reason_1\": \"Video 1 has a balanced composition with clear focus on the family interaction.\", \"reason_2\": \"While the framing is similar, the visual appeal is destroyed by the low-quality rendering of the primary subjects.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Lighting\", \"reason_1\": \"Video 1 effectively captures the 'warmly lit' and 'soft glow' atmosphere requested.\", \"reason_2\": \"Video 2 also succeeds in generating the warm, festive lighting and color palette.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 successfully conveys the intended mood of joy and celebration. Video 2's visual glitches create an uncanny and disturbing atmosphere that contradicts the prompt's emotional intent.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its significantly higher temporal stability and anatomical consistency. While both videos capture the static elements of the prompt (turkey, lanterns, family), Video 2 suffers from severe morphological distortion, where the subjects' faces and the red envelopes melt and deform unnaturally. Video 1 maintains the identity of the subjects and the shape of the objects throughout the motion, successfully conveying the requested joyful atmosphere without the distracting visual artifacts present in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Exchanging Envelopes)", "reason_1": "Video 1 clearly depicts the family members holding and waving red envelopes, aligning well with the prompt's instruction to 'exchange' them.", "reason_2": "Video 2 fails to render the red envelopes as distinct objects; they appear as large, undefined red shapes or cups that obscure the subjects' faces.", "score_1": 8, "score_2": 2}, {"name": "Subject Anatomical Logic", "reason_1": "The subjects in Video 1 maintain recognizable human features and expressions throughout the clip.", "reason_2": "Video 2 suffers from severe anatomical failures; the faces of the subjects (especially the woman in the center) melt and distort into unnatural shapes.", "score_1": 8, "score_2": 2}, {"name": "Environmental & Object Completeness", "reason_1": "Video 1 successfully includes the turkey, lanterns, and decorations in a coherent living room setting.", "reason_2": "Video 2 also successfully generates the required environmental elements, including the turkey and festive decor, matching Video 1 in this specific regard.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 accurately depicts the specific action of exchanging red envelopes and maintains the structural integrity of the human subjects, whereas Video 2 fails to render the envelopes clearly and distorts the subjects.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Hands)", "reason_1": "Video 1 maintains the shape and identity of the faces and hands with minimal distortion during movement.", "reason_2": "Video 2 exhibits extreme morphing; faces lose their structure entirely, turning into blurry or distorted textures during the motion.", "score_1": 9, "score_2": 1}, {"name": "Object Persistence (Red Envelopes)", "reason_1": "The red envelopes in Video 1 remain relatively consistent in size and shape as they are moved.", "reason_2": "The red objects in Video 2 fluctuate wildly in size and shape, appearing to merge with the subjects' hands or faces.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Coherence", "reason_1": "The movement in Video 1 is fluid and natural, mimicking a real video recording.", "reason_2": "The motion in Video 2 is jerky and unnatural, driven by the morphing of the subjects rather than realistic physical movement.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior stability and consistency. Video 2 is plagued by significant artifacts, morphing, and loss of subject identity over time.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity", "reason_1": "The expressions in Video 1 genuinely convey joy and laughter, fitting the 'warmth and togetherness' description.", "reason_2": "The distorted faces in Video 2 create an uncanny and disturbing effect, completely failing to convey the intended joy.", "score_1": 9, "score_2": 1}, {"name": "Visual Appeal & Composition", "reason_1": "Video 1 has a balanced composition with clear focus on the family interaction.", "reason_2": "While the framing is similar, the visual appeal is destroyed by the low-quality rendering of the primary subjects.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Lighting", "reason_1": "Video 1 effectively captures the 'warmly lit' and 'soft glow' atmosphere requested.", "reason_2": "Video 2 also succeeds in generating the warm, festive lighting and color palette.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 successfully conveys the intended mood of joy and celebration. Video 2's visual glitches create an uncanny and disturbing atmosphere that contradicts the prompt's emotional intent.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its significantly higher temporal stability and anatomical consistency. While both videos capture the static elements of the prompt (turkey, lanterns, family), Video 2 suffers from severe morphological distortion, where the subjects' faces and the red envelopes melt and deform unnaturally. Video 1 maintains the identity of the subjects and the shape of the objects throughout the motion, successfully conveying the requested joyful atmosphere without the distracting visual artifacts present in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 57.463} +{"pair_id": "038_seed_42", "sample_index": 38, "seed": 42, "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_42_An Indigenous Australian family gathers under a st.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Elder's Features)\", \"reason_1\": \"The elder in Video 1 has distinct, realistic facial features that align with the description of 'wisdom etched in his features'.\", \"reason_2\": \"The elder's face in Video 2 is heavily distorted and lacks defined features, failing to convey the requested wisdom or humanity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Lighting (Firelight Interaction)\", \"reason_1\": \"Video 1 accurately renders the 'warm glow casting flickering shadows' on the faces, creating a realistic interaction between the fire and the subjects.\", \"reason_2\": \"Video 2 has lighting, but the shadows and highlights feel flatter and less reactive to the fire's movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Cultural & Attire Representation\", \"reason_1\": \"The woven blankets and traditional attire are rendered with high texture detail, fitting the 'traditional woven blankets' description well.\", \"reason_2\": \"While the attire is present, the textures are muddier and less distinct compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 captures the specific attributes of the subjects, particularly the elder's 'wisdom etched in features,' much more effectively than Video 2, where the elder's face is distorted.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"The faces remain structurally sound and consistent throughout the clip, maintaining the identity of the subjects.\", \"reason_2\": \"The elder's face suffers from severe 'melting' and warping artifacts, completely breaking the realism of the video.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is crisp, with clear details in the hair, skin, and clothing textures.\", \"reason_2\": \"The overall image is softer and blurrier, lacking the high-definition finish of Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement of the fire and the subtle shifts in the subjects' posture are smooth and natural.\", \"reason_2\": \"The motion feels slightly more jittery, and the warping of the face creates an unnatural sense of movement.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains solid structural integrity, while Video 2 exhibits severe hallucinations and warping of the subjects' faces.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Atmosphere (Serenity & Intimacy)\", \"reason_1\": \"The stable visuals and warm lighting successfully evoke the 'serene backdrop' and 'deep connection' described in the prompt.\", \"reason_2\": \"The facial distortions create an eerie or unsettling vibe, which is the opposite of the requested 'serene' and 'intimate' atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing places the subjects well around the fire, creating a balanced and engaging composition.\", \"reason_2\": \"The composition is acceptable but feels slightly less balanced, with the subjects appearing a bit more cluttered.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Narrative Expression (Listening & Storytelling)\", \"reason_1\": \"The children's expressions clearly convey 'listening intently,' supporting the narrative of the elder sharing stories.\", \"reason_2\": \"Due to the lack of facial detail, the children's expressions are harder to read, weakening the narrative connection.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully establishes the 'serene' and 'intimate' mood requested, whereas the visual artifacts in Video 2 create an unintentional uncanny valley effect.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior morphological stability and visual fidelity. It successfully renders the elder's face with the requested 'wisdom' and maintains consistent anatomical structure throughout the clip. In contrast, Video 2 suffers from severe facial distortion and warping artifacts, particularly on the elder, which destroys the realism and emotional tone of the scene.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Elder's Features)", "reason_1": "The elder in Video 1 has distinct, realistic facial features that align with the description of 'wisdom etched in his features'.", "reason_2": "The elder's face in Video 2 is heavily distorted and lacks defined features, failing to convey the requested wisdom or humanity.", "score_1": 8, "score_2": 2}, {"name": "Environmental Lighting (Firelight Interaction)", "reason_1": "Video 1 accurately renders the 'warm glow casting flickering shadows' on the faces, creating a realistic interaction between the fire and the subjects.", "reason_2": "Video 2 has lighting, but the shadows and highlights feel flatter and less reactive to the fire's movement.", "score_1": 7, "score_2": 3}, {"name": "Cultural & Attire Representation", "reason_1": "The woven blankets and traditional attire are rendered with high texture detail, fitting the 'traditional woven blankets' description well.", "reason_2": "While the attire is present, the textures are muddier and less distinct compared to Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 captures the specific attributes of the subjects, particularly the elder's 'wisdom etched in features,' much more effectively than Video 2, where the elder's face is distorted.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "The faces remain structurally sound and consistent throughout the clip, maintaining the identity of the subjects.", "reason_2": "The elder's face suffers from severe 'melting' and warping artifacts, completely breaking the realism of the video.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is crisp, with clear details in the hair, skin, and clothing textures.", "reason_2": "The overall image is softer and blurrier, lacking the high-definition finish of Video 1.", "score_1": 7, "score_2": 3}, {"name": "Motion Coherence", "reason_1": "The movement of the fire and the subtle shifts in the subjects' posture are smooth and natural.", "reason_2": "The motion feels slightly more jittery, and the warping of the face creates an unnatural sense of movement.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains solid structural integrity, while Video 2 exhibits severe hallucinations and warping of the subjects' faces.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Atmosphere (Serenity & Intimacy)", "reason_1": "The stable visuals and warm lighting successfully evoke the 'serene backdrop' and 'deep connection' described in the prompt.", "reason_2": "The facial distortions create an eerie or unsettling vibe, which is the opposite of the requested 'serene' and 'intimate' atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Framing", "reason_1": "The framing places the subjects well around the fire, creating a balanced and engaging composition.", "reason_2": "The composition is acceptable but feels slightly less balanced, with the subjects appearing a bit more cluttered.", "score_1": 6, "score_2": 4}, {"name": "Narrative Expression (Listening & Storytelling)", "reason_1": "The children's expressions clearly convey 'listening intently,' supporting the narrative of the elder sharing stories.", "reason_2": "Due to the lack of facial detail, the children's expressions are harder to read, weakening the narrative connection.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully establishes the 'serene' and 'intimate' mood requested, whereas the visual artifacts in Video 2 create an unintentional uncanny valley effect.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior morphological stability and visual fidelity. It successfully renders the elder's face with the requested 'wisdom' and maintains consistent anatomical structure throughout the clip. In contrast, Video 2 suffers from severe facial distortion and warping artifacts, particularly on the elder, which destroys the realism and emotional tone of the scene.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 57.043} +{"pair_id": "040_seed_930", "sample_index": 40, "seed": 930, "prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_040_seed_930_A Native American man sprints across a vast desert.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 clearly renders the Native American man with distinct, vibrant regalia and a headdress that matches the prompt's description of 'intricate beadwork' and 'feathers'.\", \"reason_2\": \"Video 2 presents a blurry figure where the regalia is indistinguishable from the body, lacking the requested vibrancy and detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Mesas & Terrain)\", \"reason_1\": \"Video 1 places the subject in a convincing desert setting with visible mesas in the background, matching the 'vast desert landscape' requirement.\", \"reason_2\": \"Video 2 also features the correct background elements (mesas, desert floor), but the lack of depth and detail makes the environment feel less immersive.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Fidelity (Sprinting & Flowing Regalia)\", \"reason_1\": \"Video 1 captures the 'powerful stride' and the 'flowing' nature of the regalia effectively, with feathers fluttering as requested.\", \"reason_2\": \"Video 2 attempts the sprinting motion, but the movement is jerky and the regalia does not flow naturally; it appears as a static, glitchy mass.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific details of the prompt, including the intricate beadwork and flowing feathers, whereas Video 2 fails to render these details clearly due to low fidelity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is sharp, with clear textures on the clothing and skin, and good contrast.\", \"reason_2\": \"The video is extremely blurry and pixelated, resembling a low-quality preview rather than a finished generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subject maintains a consistent human form throughout the clip, with limbs and head remaining proportional.\", \"reason_2\": \"The subject's legs and feet frequently morph into the ground or disappear entirely, breaking the illusion of a running human.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The running motion is fluid and rhythmic, conveying a sense of speed.\", \"reason_2\": \"The motion is stuttery and unnatural, with the subject appearing to slide or glitch rather than run.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains a professional level of clarity and stability, while Video 2 is plagued by low resolution, blurring, and significant anatomical hallucinations.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Lighting & Color Grading (Golden Hue)\", \"reason_1\": \"Video 1 successfully applies the 'golden hue' requested, creating a warm, cinematic sunset/sunrise atmosphere.\", \"reason_2\": \"Video 2 has flat, washed-out lighting that fails to evoke the 'golden' or 'sacred' mood described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing keeps the subject well-centered while showcasing the vast background, creating a strong cinematic look.\", \"reason_2\": \"The composition is weak due to the lack of definition; the subject feels disconnected from the background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually engaging and looks like a coherent piece of media.\", \"reason_2\": \"The video is visually unappealing due to heavy artifacts and blur.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the cinematic 'golden hour' aesthetic and the determined mood of the prompt, whereas Video 2 lacks artistic merit due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is significantly superior in terms of visual fidelity, anatomical consistency, and adherence to the prompt's aesthetic requirements. It successfully renders the intricate details of the regalia and the specific lighting conditions, whereas Video 2 suffers from severe blurring, morphological instability, and a lack of definition.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A Native American man sprints across a vast desert landscape, his traditional regalia flowing with each powerful stride. The sun casts a golden hue over the arid terrain, highlighting the intricate beadwork and vibrant colors of his attire. Feathers in his headdress flutter in the wind, symbolizing his connection to the earth and sky. His moccasins barely touch the sandy ground, as if he is gliding over the desert. The distant mesas and cacti stand as silent witnesses to his speed and grace, while the clear blue sky stretches endlessly above, framing his determined journey through this timeless, sacred land.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 clearly renders the Native American man with distinct, vibrant regalia and a headdress that matches the prompt's description of 'intricate beadwork' and 'feathers'.", "reason_2": "Video 2 presents a blurry figure where the regalia is indistinguishable from the body, lacking the requested vibrancy and detail.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Mesas & Terrain)", "reason_1": "Video 1 places the subject in a convincing desert setting with visible mesas in the background, matching the 'vast desert landscape' requirement.", "reason_2": "Video 2 also features the correct background elements (mesas, desert floor), but the lack of depth and detail makes the environment feel less immersive.", "score_1": 6, "score_2": 4}, {"name": "Action Fidelity (Sprinting & Flowing Regalia)", "reason_1": "Video 1 captures the 'powerful stride' and the 'flowing' nature of the regalia effectively, with feathers fluttering as requested.", "reason_2": "Video 2 attempts the sprinting motion, but the movement is jerky and the regalia does not flow naturally; it appears as a static, glitchy mass.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific details of the prompt, including the intricate beadwork and flowing feathers, whereas Video 2 fails to render these details clearly due to low fidelity.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is sharp, with clear textures on the clothing and skin, and good contrast.", "reason_2": "The video is extremely blurry and pixelated, resembling a low-quality preview rather than a finished generation.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Anatomy)", "reason_1": "The subject maintains a consistent human form throughout the clip, with limbs and head remaining proportional.", "reason_2": "The subject's legs and feet frequently morph into the ground or disappear entirely, breaking the illusion of a running human.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The running motion is fluid and rhythmic, conveying a sense of speed.", "reason_2": "The motion is stuttery and unnatural, with the subject appearing to slide or glitch rather than run.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains a professional level of clarity and stability, while Video 2 is plagued by low resolution, blurring, and significant anatomical hallucinations.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Lighting & Color Grading (Golden Hue)", "reason_1": "Video 1 successfully applies the 'golden hue' requested, creating a warm, cinematic sunset/sunrise atmosphere.", "reason_2": "Video 2 has flat, washed-out lighting that fails to evoke the 'golden' or 'sacred' mood described.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition", "reason_1": "The framing keeps the subject well-centered while showcasing the vast background, creating a strong cinematic look.", "reason_2": "The composition is weak due to the lack of definition; the subject feels disconnected from the background.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually engaging and looks like a coherent piece of media.", "reason_2": "The video is visually unappealing due to heavy artifacts and blur.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the cinematic 'golden hour' aesthetic and the determined mood of the prompt, whereas Video 2 lacks artistic merit due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is significantly superior in terms of visual fidelity, anatomical consistency, and adherence to the prompt's aesthetic requirements. It successfully renders the intricate details of the regalia and the specific lighting conditions, whereas Video 2 suffers from severe blurring, morphological instability, and a lack of definition.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 59.331} +{"pair_id": "043_seed_310", "sample_index": 43, "seed": 310, "prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_310_A striking close-up reveals an African woman with.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_310_A striking close-up reveals an African woman with.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_310_A striking close-up reveals an African woman with.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_310_A striking close-up reveals an African woman with.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Completeness (Face & Expression)\", \"reason_1\": \"Video 1 completely fails to show the subject's face or expression, showing only the neck and chin, which contradicts the prompt's request for a 'serene expression'.\", \"reason_2\": \"Video 2 clearly displays the woman's face, eyes, and smile, fulfilling the requirement for a 'serene expression' and 'grace'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Fidelity (Attire & Beads)\", \"reason_1\": \"Video 1 renders the beads and fabric patterns with high precision and distinct separation.\", \"reason_2\": \"Video 2 includes the correct attributes, but the beads and patterns are slightly less defined and blend together more than in Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Prompt Completeness (Framing)\", \"reason_1\": \"The framing in Video 1 is too tight, cutting off the most important part of the subject (the face).\", \"reason_2\": \"Video 2 uses a standard portrait close-up that appropriately frames the head, hair, and attire as described.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the full scope of the prompt, including the subject's face and expression, whereas Video 1 misses the primary subject entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity & Sharpness\", \"reason_1\": \"The skin texture, hair sheen, and fabric weave in Video 1 are rendered with photorealistic sharpness.\", \"reason_2\": \"Video 2 appears softer and slightly 'waxy', lacking the high-frequency detail seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is extremely stable with no noticeable warping of the static elements.\", \"reason_2\": \"Video 2 exhibits some characteristic AI warping and shifting in the background patterns and hair during movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Sheen Realism\", \"reason_1\": \"Video 1 accurately captures the 'subtle sheen' of the hair and skin requested in the prompt.\", \"reason_2\": \"The lighting in Video 2 is flatter, and the skin sheen looks somewhat artificial.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior technical rendering with sharper textures and better stability, despite the semantic failure.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Grace & Strength)\", \"reason_1\": \"Without a face, Video 1 cannot convey 'grace', 'strength', or 'serenity'. It is emotionally void.\", \"reason_2\": \"Video 2 effectively conveys the requested mood through the subject's warm smile and direct gaze.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The composition is awkward, focusing on the clavicle area, which feels accidental rather than artistic.\", \"reason_2\": \"The composition is a classic, balanced portrait that draws attention to the subject's face and cultural adornments.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"While technically clean, the video is visually uninteresting due to the lack of a focal point.\", \"reason_2\": \"Despite lower texture quality, the video is engaging and visually complete as a portrait.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 succeeds in creating an emotional connection and a pleasing portrait, whereas Video 1 is an impersonal and awkward crop.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it fulfills the core semantic requirement of the prompt: depicting the woman's face and her 'serene expression'. Video 1, while technically sharp, fails significantly by framing the shot on the neck and chin, completely omitting the subject's face and the emotional connection requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Completeness (Face & Expression)", "reason_1": "Video 1 completely fails to show the subject's face or expression, showing only the neck and chin, which contradicts the prompt's request for a 'serene expression'.", "reason_2": "Video 2 clearly displays the woman's face, eyes, and smile, fulfilling the requirement for a 'serene expression' and 'grace'.", "score_1": 1, "score_2": 9}, {"name": "Attribute Fidelity (Attire & Beads)", "reason_1": "Video 1 renders the beads and fabric patterns with high precision and distinct separation.", "reason_2": "Video 2 includes the correct attributes, but the beads and patterns are slightly less defined and blend together more than in Video 1.", "score_1": 6, "score_2": 4}, {"name": "Prompt Completeness (Framing)", "reason_1": "The framing in Video 1 is too tight, cutting off the most important part of the subject (the face).", "reason_2": "Video 2 uses a standard portrait close-up that appropriately frames the head, hair, and attire as described.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the full scope of the prompt, including the subject's face and expression, whereas Video 1 misses the primary subject entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity & Sharpness", "reason_1": "The skin texture, hair sheen, and fabric weave in Video 1 are rendered with photorealistic sharpness.", "reason_2": "Video 2 appears softer and slightly 'waxy', lacking the high-frequency detail seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability", "reason_1": "Video 1 is extremely stable with no noticeable warping of the static elements.", "reason_2": "Video 2 exhibits some characteristic AI warping and shifting in the background patterns and hair during movement.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Sheen Realism", "reason_1": "Video 1 accurately captures the 'subtle sheen' of the hair and skin requested in the prompt.", "reason_2": "The lighting in Video 2 is flatter, and the skin sheen looks somewhat artificial.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior technical rendering with sharper textures and better stability, despite the semantic failure.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Grace & Strength)", "reason_1": "Without a face, Video 1 cannot convey 'grace', 'strength', or 'serenity'. It is emotionally void.", "reason_2": "Video 2 effectively conveys the requested mood through the subject's warm smile and direct gaze.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The composition is awkward, focusing on the clavicle area, which feels accidental rather than artistic.", "reason_2": "The composition is a classic, balanced portrait that draws attention to the subject's face and cultural adornments.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "While technically clean, the video is visually uninteresting due to the lack of a focal point.", "reason_2": "Despite lower texture quality, the video is engaging and visually complete as a portrait.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 succeeds in creating an emotional connection and a pleasing portrait, whereas Video 1 is an impersonal and awkward crop.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it fulfills the core semantic requirement of the prompt: depicting the woman's face and her 'serene expression'. Video 1, while technically sharp, fails significantly by framing the shot on the neck and chin, completely omitting the subject's face and the emotional connection requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 37.0, "total_score_2": 53.0, "elapsed_sec": 56.717} +{"pair_id": "046_seed_42", "sample_index": 46, "seed": 42, "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_42_In a softly lit room the camera zooms in on a pair.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Blur & Speed)\", \"reason_1\": \"Video 1 perfectly captures the prompt's request for fingers that are 'a blur' and 'dance' across the keys, showing high-speed motion.\", \"reason_2\": \"Video 2 shows very slow, deliberate typing with no motion blur, completely failing the 'rapid pace' and 'blur' requirements.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Attribute Accuracy (Keyboard)\", \"reason_1\": \"Video 1 features a 'sleek, black keyboard' with a glossy surface as requested.\", \"reason_2\": \"Video 2 features a white/grey keyboard, which directly contradicts the 'black keyboard' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Detail (Ring & Hands)\", \"reason_1\": \"Video 1 includes the silver ring and the hands appear nimble and active.\", \"reason_2\": \"Video 2 includes the silver ring, but the hands lack the 'confidence and dexterity' implied by the prompt due to the slow movement.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 correctly identifies and renders the key descriptive elements: the black keyboard and the rapid, blurry motion of the fingers. Video 2 fails on both the object color and the action speed.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Physics & Momentum\", \"reason_1\": \"The movement in Video 1 feels physically grounded in the concept of rapid typing, with appropriate weight and speed.\", \"reason_2\": \"The motion in Video 2 is stiff and robotic, lacking the natural fluidity of human hands.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Rendering (Skin & Plastic)\", \"reason_1\": \"Video 1 renders the glossy texture of the keys and the skin texture well, though the motion blur masks some detail.\", \"reason_2\": \"Video 2 has decent texture, but the lighting makes the skin look slightly waxy and the keys look matte rather than glossy.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 maintains consistency despite the high-speed motion.\", \"reason_2\": \"Video 2 is stable but the lack of movement makes it easier to render; however, the fingers look slightly morphed in some frames.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 handles the complex challenge of rapid motion blur reasonably well, creating a realistic sense of speed. Video 2 is stable but lacks dynamic realism due to its stiffness.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmosphere & Mood (Focused Creativity)\", \"reason_1\": \"The lighting and motion in Video 1 create the intense, 'focused' atmosphere described.\", \"reason_2\": \"Video 2 feels casual and slow, lacking the intensity or 'symphony of productivity' vibe.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition (Depth of Field)\", \"reason_1\": \"Video 1 uses a shallow depth of field effectively to draw the eye to the action, enhancing the cinematic feel.\", \"reason_2\": \"Video 2 has a flatter composition that feels less professional and more like a standard stock clip.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Pacing (Rhythm)\", \"reason_1\": \"The visual rhythm of Video 1 matches the description of a 'symphony' of clicks.\", \"reason_2\": \"Video 2 has a monotonous, slow pace that fails to convey the narrative of rapid productivity.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the mood of 'focused creativity' and 'determination' through its lighting and pacing. Video 2 feels more like a generic, low-energy clip.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it adheres strictly to the specific visual and action constraints of the prompt. It correctly depicts a 'black keyboard' and captures the 'fingers a blur' and 'rapid pace' requirements, creating the requested atmosphere of intense productivity. Video 2 fails significantly on semantic alignment by presenting a white keyboard and slow, deliberate typing motion that contradicts the prompt's description of a 'blur' and 'rapid pace'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Blur & Speed)", "reason_1": "Video 1 perfectly captures the prompt's request for fingers that are 'a blur' and 'dance' across the keys, showing high-speed motion.", "reason_2": "Video 2 shows very slow, deliberate typing with no motion blur, completely failing the 'rapid pace' and 'blur' requirements.", "score_1": 9, "score_2": 1}, {"name": "Object Attribute Accuracy (Keyboard)", "reason_1": "Video 1 features a 'sleek, black keyboard' with a glossy surface as requested.", "reason_2": "Video 2 features a white/grey keyboard, which directly contradicts the 'black keyboard' instruction.", "score_1": 9, "score_2": 1}, {"name": "Subject Detail (Ring & Hands)", "reason_1": "Video 1 includes the silver ring and the hands appear nimble and active.", "reason_2": "Video 2 includes the silver ring, but the hands lack the 'confidence and dexterity' implied by the prompt due to the slow movement.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 correctly identifies and renders the key descriptive elements: the black keyboard and the rapid, blurry motion of the fingers. Video 2 fails on both the object color and the action speed.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Physics & Momentum", "reason_1": "The movement in Video 1 feels physically grounded in the concept of rapid typing, with appropriate weight and speed.", "reason_2": "The motion in Video 2 is stiff and robotic, lacking the natural fluidity of human hands.", "score_1": 8, "score_2": 2}, {"name": "Texture Rendering (Skin & Plastic)", "reason_1": "Video 1 renders the glossy texture of the keys and the skin texture well, though the motion blur masks some detail.", "reason_2": "Video 2 has decent texture, but the lighting makes the skin look slightly waxy and the keys look matte rather than glossy.", "score_1": 6, "score_2": 4}, {"name": "Temporal Stability", "reason_1": "Video 1 maintains consistency despite the high-speed motion.", "reason_2": "Video 2 is stable but the lack of movement makes it easier to render; however, the fingers look slightly morphed in some frames.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 handles the complex challenge of rapid motion blur reasonably well, creating a realistic sense of speed. Video 2 is stable but lacks dynamic realism due to its stiffness.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmosphere & Mood (Focused Creativity)", "reason_1": "The lighting and motion in Video 1 create the intense, 'focused' atmosphere described.", "reason_2": "Video 2 feels casual and slow, lacking the intensity or 'symphony of productivity' vibe.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition (Depth of Field)", "reason_1": "Video 1 uses a shallow depth of field effectively to draw the eye to the action, enhancing the cinematic feel.", "reason_2": "Video 2 has a flatter composition that feels less professional and more like a standard stock clip.", "score_1": 7, "score_2": 3}, {"name": "Narrative Pacing (Rhythm)", "reason_1": "The visual rhythm of Video 1 matches the description of a 'symphony' of clicks.", "reason_2": "Video 2 has a monotonous, slow pace that fails to convey the narrative of rapid productivity.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the mood of 'focused creativity' and 'determination' through its lighting and pacing. Video 2 feels more like a generic, low-energy clip.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it adheres strictly to the specific visual and action constraints of the prompt. It correctly depicts a 'black keyboard' and captures the 'fingers a blur' and 'rapid pace' requirements, creating the requested atmosphere of intense productivity. Video 2 fails significantly on semantic alignment by presenting a white keyboard and slow, deliberate typing motion that contradicts the prompt's description of a 'blur' and 'rapid pace'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 59.193} +{"pair_id": "048_seed_930", "sample_index": 48, "seed": 930, "prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_048_seed_930_Amidst a nighttime deluge a solitary figure stride.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Striding vs. Static)\", \"reason_1\": \"The character in Video 1 is essentially static, merely standing in the rain with no forward momentum.\", \"reason_2\": \"Video 2 depicts the character actively striding forward with a natural gait, perfectly matching the 'strides down a deserted street' instruction.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Accuracy (Wet Coat & Hair)\", \"reason_1\": \"The coat appears dry and stiff; the hair is styled and does not look 'plastered' by water.\", \"reason_2\": \"The coat visibly clings to the body with wet texture, and the hair is matted and plastered against the forehead as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Puddles & Reflections)\", \"reason_1\": \"The background is blurry and lacks distinct puddles or the specific 'shimmering path' of light described.\", \"reason_2\": \"The video clearly renders wet pavement with realistic reflections of streetlights in the puddles, creating the requested shimmering path.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the 'striding' action and the specific physical attributes of being 'drenched' and 'clinging,' whereas Video 1 presents a static character with dry-looking clothing.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Hydrodynamic Realism (Rain Interaction)\", \"reason_1\": \"The rain is rendered as a simple 2D overlay filter that does not interact with the character or the environment.\", \"reason_2\": \"The rain interacts physically with the scene, splashing against the coat and the ground, creating realistic water physics.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Texture Fidelity (Wet Surfaces)\", \"reason_1\": \"Textures are flat and illustrative, failing to convey the material properties of wet fabric.\", \"reason_2\": \"The video renders high-fidelity textures where the fabric looks heavy, soaked, and reflective.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Motion is minimal and stiff, lacking the weight of a person moving through a storm.\", \"reason_2\": \"The character's movement has appropriate weight and momentum, reacting naturally to the resistance of the rain.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior physics simulation, particularly in fluid dynamics (rain splashing) and texture rendering, while Video 1 relies on a static anime style with overlay effects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Resilience & Solitude)\", \"reason_1\": \"The anime style creates a somewhat detached or stylized mood that feels less visceral than the prompt implies.\", \"reason_2\": \"The lighting, heavy rain, and determined expression combine to effectively convey the requested sense of resilience and solitude.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Lighting (Dim Glow & Contrast)\", \"reason_1\": \"Lighting is relatively flat and uniform, lacking the dramatic contrast of a nighttime storm.\", \"reason_2\": \"The video utilizes high-contrast lighting with bokeh effects from streetlights, enhancing the cinematic quality.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Movement & Focus\", \"reason_1\": \"The camera is largely static with a slight zoom, failing to create a dynamic sense of following the subject.\", \"reason_2\": \"The camera tracks the subject's movement, creating a dynamic and immersive perspective that aligns with the narrative flow.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully evokes the mood of 'resilience' through cinematic lighting and camera movement, whereas Video 1 feels more like a static character portrait.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is a superior generation that fully captures the dynamic and physical requirements of the prompt. It features a photorealistic depiction of a character actually 'striding' through a heavy downpour, with accurate wet-surface textures, realistic rain interaction, and the specific atmospheric lighting requested. Video 1, while stylistically consistent as an anime clip, fails to depict the 'striding' motion (the character is static) and lacks the visceral 'drenched' and 'clinging' fabric details described.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "Amidst a nighttime deluge, a solitary figure strides down a deserted street, their black trench coat drenched and clinging to their form, each step echoing in the rain-soaked silence. The camera captures the interplay between the coat's fabric and the relentless downpour, highlighting the glistening raindrops cascading off the material. Shifting focus, it reveals the character's wet hair plastered against their forehead, framing a face set with determination. The streetlights cast a dim glow, reflecting off puddles and creating a shimmering path. The scene conveys a sense of resilience and solitude, as the character moves with purpose through the storm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Striding vs. Static)", "reason_1": "The character in Video 1 is essentially static, merely standing in the rain with no forward momentum.", "reason_2": "Video 2 depicts the character actively striding forward with a natural gait, perfectly matching the 'strides down a deserted street' instruction.", "score_1": 1, "score_2": 9}, {"name": "Attribute Accuracy (Wet Coat & Hair)", "reason_1": "The coat appears dry and stiff; the hair is styled and does not look 'plastered' by water.", "reason_2": "The coat visibly clings to the body with wet texture, and the hair is matted and plastered against the forehead as requested.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Puddles & Reflections)", "reason_1": "The background is blurry and lacks distinct puddles or the specific 'shimmering path' of light described.", "reason_2": "The video clearly renders wet pavement with realistic reflections of streetlights in the puddles, creating the requested shimmering path.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the 'striding' action and the specific physical attributes of being 'drenched' and 'clinging,' whereas Video 1 presents a static character with dry-looking clothing.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Hydrodynamic Realism (Rain Interaction)", "reason_1": "The rain is rendered as a simple 2D overlay filter that does not interact with the character or the environment.", "reason_2": "The rain interacts physically with the scene, splashing against the coat and the ground, creating realistic water physics.", "score_1": 2, "score_2": 8}, {"name": "Texture Fidelity (Wet Surfaces)", "reason_1": "Textures are flat and illustrative, failing to convey the material properties of wet fabric.", "reason_2": "The video renders high-fidelity textures where the fabric looks heavy, soaked, and reflective.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "Motion is minimal and stiff, lacking the weight of a person moving through a storm.", "reason_2": "The character's movement has appropriate weight and momentum, reacting naturally to the resistance of the rain.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior physics simulation, particularly in fluid dynamics (rain splashing) and texture rendering, while Video 1 relies on a static anime style with overlay effects.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Resilience & Solitude)", "reason_1": "The anime style creates a somewhat detached or stylized mood that feels less visceral than the prompt implies.", "reason_2": "The lighting, heavy rain, and determined expression combine to effectively convey the requested sense of resilience and solitude.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Lighting (Dim Glow & Contrast)", "reason_1": "Lighting is relatively flat and uniform, lacking the dramatic contrast of a nighttime storm.", "reason_2": "The video utilizes high-contrast lighting with bokeh effects from streetlights, enhancing the cinematic quality.", "score_1": 3, "score_2": 7}, {"name": "Camera Movement & Focus", "reason_1": "The camera is largely static with a slight zoom, failing to create a dynamic sense of following the subject.", "reason_2": "The camera tracks the subject's movement, creating a dynamic and immersive perspective that aligns with the narrative flow.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully evokes the mood of 'resilience' through cinematic lighting and camera movement, whereas Video 1 feels more like a static character portrait.", "cat_winner": "Video 2"}], "reason": "Video 2 is a superior generation that fully captures the dynamic and physical requirements of the prompt. It features a photorealistic depiction of a character actually 'striding' through a heavy downpour, with accurate wet-surface textures, realistic rain interaction, and the specific atmospheric lighting requested. Video 1, while stylistically consistent as an anime clip, fails to depict the 'striding' motion (the character is static) and lacks the visceral 'drenched' and 'clinging' fabric details described.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 21.0, "total_score_2": 69.0, "elapsed_sec": 60.57} +{"pair_id": "051_seed_310", "sample_index": 51, "seed": 310, "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_310_In the golden glow of sunset a young womans face i.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_310_In the golden glow of sunset a young womans face i.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_310_In the golden glow of sunset a young womans face i.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_310_In the golden glow of sunset a young womans face i.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement (Gentle Zoom)\", \"reason_1\": \"Video 1 is essentially a static shot with no perceptible camera movement, failing the 'zoom in' instruction.\", \"reason_2\": \"Video 2 executes a smooth, gradual zoom that effectively narrows the focus on the subject's face as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Fidelity (Unshed Tears)\", \"reason_1\": \"Video 1 depicts the eyes as red and watery, but lacks the distinct 'shimmering' or visible tear drops described.\", \"reason_2\": \"Video 2 clearly renders tears on the cheeks and a wet sheen in the eyes, aligning perfectly with the 'shimmering with unshed tears' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Expression Nuance (Lip Tremble)\", \"reason_1\": \"Video 1 shows a slight mouth movement, but it feels more like a generic talking motion than a specific 'tremble'.\", \"reason_2\": \"Video 2 captures a subtle, micro-movement in the mouth that effectively conveys the requested 'subtle tremble' and emotional suppression.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the critical camera movement instruction and the specific attribute details (tears) much better than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity (Skin Texture)\", \"reason_1\": \"The skin texture in Video 1 appears somewhat waxy and lacks the high-frequency detail seen in the other video.\", \"reason_2\": \"Video 2 renders skin pores, imperfections, and lighting interactions with high realism and sharpness.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Interaction (Golden Glow)\", \"reason_1\": \"The lighting in Video 1 is warm but flat, lacking the dynamic 'play of light and shadow' requested.\", \"reason_2\": \"Video 2 features strong backlighting that creates a realistic rim light and subsurface scattering effect on the skin, enhancing the 'golden glow'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is stable, largely because there is very little movement to cause distortion.\", \"reason_2\": \"Video 2 maintains excellent structural integrity of the face throughout the zoom and expression changes.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior texture rendering and lighting interaction, creating a more photorealistic image.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Vulnerability)\", \"reason_1\": \"The static nature and lack of clear tears make the emotion in Video 1 feel somewhat muted and less impactful.\", \"reason_2\": \"The combination of the zoom, the visible tears, and the lighting creates a strong sense of 'poignant vulnerability' and 'raw emotion'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is standard but lacks the dynamic change that would elevate it to a cinematic shot.\", \"reason_2\": \"The use of the zoom to transition from a close-up to a tighter focus on the eyes creates a strong cinematic narrative flow.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Tone (Sunset Hues)\", \"reason_1\": \"Video 1 has a general warm tone but misses the specific 'dancing hues' in the eyes.\", \"reason_2\": \"Video 2 captures the specific color palette of a sunset, with warm oranges and golds reflecting in the subject's eyes and hair.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully evokes the poignant and vulnerable mood through better composition and emotional acting.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the specific camera movement instruction ('gently zooms in') which is absent in Video 1. Furthermore, Video 2 renders the 'unshed tears' and 'golden glow' with significantly higher fidelity and emotional impact, whereas Video 1 remains static and lacks the distinct tear details requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement (Gentle Zoom)", "reason_1": "Video 1 is essentially a static shot with no perceptible camera movement, failing the 'zoom in' instruction.", "reason_2": "Video 2 executes a smooth, gradual zoom that effectively narrows the focus on the subject's face as requested.", "score_1": 1, "score_2": 9}, {"name": "Attribute Fidelity (Unshed Tears)", "reason_1": "Video 1 depicts the eyes as red and watery, but lacks the distinct 'shimmering' or visible tear drops described.", "reason_2": "Video 2 clearly renders tears on the cheeks and a wet sheen in the eyes, aligning perfectly with the 'shimmering with unshed tears' description.", "score_1": 3, "score_2": 7}, {"name": "Expression Nuance (Lip Tremble)", "reason_1": "Video 1 shows a slight mouth movement, but it feels more like a generic talking motion than a specific 'tremble'.", "reason_2": "Video 2 captures a subtle, micro-movement in the mouth that effectively conveys the requested 'subtle tremble' and emotional suppression.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the critical camera movement instruction and the specific attribute details (tears) much better than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity (Skin Texture)", "reason_1": "The skin texture in Video 1 appears somewhat waxy and lacks the high-frequency detail seen in the other video.", "reason_2": "Video 2 renders skin pores, imperfections, and lighting interactions with high realism and sharpness.", "score_1": 3, "score_2": 7}, {"name": "Lighting Interaction (Golden Glow)", "reason_1": "The lighting in Video 1 is warm but flat, lacking the dynamic 'play of light and shadow' requested.", "reason_2": "Video 2 features strong backlighting that creates a realistic rim light and subsurface scattering effect on the skin, enhancing the 'golden glow'.", "score_1": 4, "score_2": 6}, {"name": "Morphological Stability", "reason_1": "Video 1 is stable, largely because there is very little movement to cause distortion.", "reason_2": "Video 2 maintains excellent structural integrity of the face throughout the zoom and expression changes.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior texture rendering and lighting interaction, creating a more photorealistic image.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Vulnerability)", "reason_1": "The static nature and lack of clear tears make the emotion in Video 1 feel somewhat muted and less impactful.", "reason_2": "The combination of the zoom, the visible tears, and the lighting creates a strong sense of 'poignant vulnerability' and 'raw emotion'.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition", "reason_1": "The framing is standard but lacks the dynamic change that would elevate it to a cinematic shot.", "reason_2": "The use of the zoom to transition from a close-up to a tighter focus on the eyes creates a strong cinematic narrative flow.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Tone (Sunset Hues)", "reason_1": "Video 1 has a general warm tone but misses the specific 'dancing hues' in the eyes.", "reason_2": "Video 2 captures the specific color palette of a sunset, with warm oranges and golds reflecting in the subject's eyes and hair.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully evokes the poignant and vulnerable mood through better composition and emotional acting.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the specific camera movement instruction ('gently zooms in') which is absent in Video 1. Furthermore, Video 2 renders the 'unshed tears' and 'golden glow' with significantly higher fidelity and emotional impact, whereas Video 1 remains static and lacks the distinct tear details requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 57.516} +{"pair_id": "054_seed_42", "sample_index": 54, "seed": 42, "prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_42_A charismatic public figure stands at a podium pas.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_42_A charismatic public figure stands at a podium pas.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_42_A charismatic public figure stands at a podium pas.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_42_A charismatic public figure stands at a podium pas.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Audience Reaction Specificity\", \"reason_1\": \"Video 1 fails to render distinct reactions; the audience faces are melted, distorted blobs with no discernible expressions or body language.\", \"reason_2\": \"Video 2 clearly depicts the 'older man' with crossed arms and a frown, and a woman appearing emotional, aligning closely with the prompt's specific character requirements.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Speaker Characterization & Fervor\", \"reason_1\": \"The speaker in Video 1 has a distorted, unnatural expression that looks more like a glitch than a passionate speech.\", \"reason_2\": \"Video 2 depicts a speaker with a distinct, intense expression and hand gestures that effectively convey the requested 'fervor' and 'conviction'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Grand Hall)\", \"reason_1\": \"The background in Video 1 is a blurry, undefined beige space that barely suggests a room.\", \"reason_2\": \"Video 2 renders a convincing grand hall with depth, lighting, and architectural details that match the prompt's setting.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately captures the specific audience reactions and the speaker's intensity, whereas Video 1 fails to render recognizable human features or specific actions.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"Video 1 exhibits severe 'nightmare' distortion; faces are melted, eyes are misaligned, and features are unrecognizable.\", \"reason_2\": \"Video 2 maintains high anatomical integrity for both the speaker and the audience members, with realistic skin textures and facial structures.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image quality in Video 1 is low-resolution, muddy, and lacks detail.\", \"reason_2\": \"Video 2 is sharp, clear, and photorealistic, with good lighting and texture definition.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Subjects in Video 1 warp and morph unnaturally as the camera moves.\", \"reason_2\": \"Video 2 maintains the shape and identity of subjects consistently throughout the clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade generation quality, while Video 1 suffers from catastrophic failure in rendering human anatomy.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 has flat, awkward framing with no sense of depth or professional composition.\", \"reason_2\": \"Video 2 uses depth of field effectively to separate the speaker from the audience, creating a cinematic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Atmosphere\", \"reason_1\": \"The distortion in Video 1 creates an unintentional horror vibe rather than the intended dramatic tension.\", \"reason_2\": \"Video 2 successfully establishes a mood of tension and seriousness through lighting and the actors' expressions.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Movement Logic\", \"reason_1\": \"The camera movement in Video 1 is jerky and disorienting.\", \"reason_2\": \"Video 2 simulates a smooth pan or cut that logically shifts focus from the speaker to the audience reactions.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 employs cinematic techniques to tell the story of the speech, whereas Video 1 is visually unpleasant and confusing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every metric. It successfully renders a photorealistic scene with a distinct speaker and a detailed audience that exhibits the specific reactions requested (crossed arms, skepticism, emotion). Video 1 suffers from severe morphological distortion, with melted faces and a lack of coherent detail, failing to convey the narrative or the visual quality required.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Audience Reaction Specificity", "reason_1": "Video 1 fails to render distinct reactions; the audience faces are melted, distorted blobs with no discernible expressions or body language.", "reason_2": "Video 2 clearly depicts the 'older man' with crossed arms and a frown, and a woman appearing emotional, aligning closely with the prompt's specific character requirements.", "score_1": 1, "score_2": 9}, {"name": "Speaker Characterization & Fervor", "reason_1": "The speaker in Video 1 has a distorted, unnatural expression that looks more like a glitch than a passionate speech.", "reason_2": "Video 2 depicts a speaker with a distinct, intense expression and hand gestures that effectively convey the requested 'fervor' and 'conviction'.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Grand Hall)", "reason_1": "The background in Video 1 is a blurry, undefined beige space that barely suggests a room.", "reason_2": "Video 2 renders a convincing grand hall with depth, lighting, and architectural details that match the prompt's setting.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately captures the specific audience reactions and the speaker's intensity, whereas Video 1 fails to render recognizable human features or specific actions.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "Video 1 exhibits severe 'nightmare' distortion; faces are melted, eyes are misaligned, and features are unrecognizable.", "reason_2": "Video 2 maintains high anatomical integrity for both the speaker and the audience members, with realistic skin textures and facial structures.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image quality in Video 1 is low-resolution, muddy, and lacks detail.", "reason_2": "Video 2 is sharp, clear, and photorealistic, with good lighting and texture definition.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "Subjects in Video 1 warp and morph unnaturally as the camera moves.", "reason_2": "Video 2 maintains the shape and identity of subjects consistently throughout the clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade generation quality, while Video 1 suffers from catastrophic failure in rendering human anatomy.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 has flat, awkward framing with no sense of depth or professional composition.", "reason_2": "Video 2 uses depth of field effectively to separate the speaker from the audience, creating a cinematic look.", "score_1": 2, "score_2": 8}, {"name": "Emotional Atmosphere", "reason_1": "The distortion in Video 1 creates an unintentional horror vibe rather than the intended dramatic tension.", "reason_2": "Video 2 successfully establishes a mood of tension and seriousness through lighting and the actors' expressions.", "score_1": 1, "score_2": 9}, {"name": "Camera Movement Logic", "reason_1": "The camera movement in Video 1 is jerky and disorienting.", "reason_2": "Video 2 simulates a smooth pan or cut that logically shifts focus from the speaker to the audience reactions.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 employs cinematic techniques to tell the story of the speech, whereas Video 1 is visually unpleasant and confusing.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every metric. It successfully renders a photorealistic scene with a distinct speaker and a detailed audience that exhibits the specific reactions requested (crossed arms, skepticism, emotion). Video 1 suffers from severe morphological distortion, with melted faces and a lack of coherent detail, failing to convey the narrative or the visual quality required.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 16.0, "total_score_2": 74.0, "elapsed_sec": 56.081} +{"pair_id": "056_seed_930", "sample_index": 56, "seed": 930, "prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_056_seed_930_In a sunlit community center a diverse group of in.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 attempts the attire but the subjects are unrecognizable due to severe distortion; the 'teenager in dashiki' is not clearly identifiable.\", \"reason_2\": \"Video 2 clearly depicts the woman in the sari, the man in the suit, and the woman in the hijab with high fidelity, though it also misses the specific 'teenager in dashiki' requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Logic: Collaborative Sketching\", \"reason_1\": \"The action of sketching is present but rendered as a morphing blob of pixels rather than distinct hand movements.\", \"reason_2\": \"The video clearly shows hands interacting with a notepad and pens, accurately reflecting the 'collaboratively sketch ideas' instruction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Sunlit Center)\", \"reason_1\": \"The background is blurry and indistinct, barely suggesting a room.\", \"reason_2\": \"The background clearly shows a sunlit building exterior through a window, fitting the 'community center' description well.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the diverse group, the specific attire (sari, suit, hijab), and the collaborative action of sketching. Video 1 attempts the elements but fails to render them with enough clarity to be semantically valid.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"Faces are severely deformed, with melting features and misplaced eyes, creating a disturbing visual effect.\", \"reason_2\": \"Faces are rendered with high realism, maintaining human proportions and clear expressions throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Subjects constantly morph, shrink, and expand; the video lacks any temporal consistency.\", \"reason_2\": \"Subject identities and shapes remain consistent over time with minimal flickering or warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is noisy, blurry, and lacks texture detail.\", \"reason_2\": \"The video is sharp, with clear textures on the clothing and the wooden table.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is plagued by severe artifacts and anatomical failures, while Video 2 is stable, sharp, and realistic.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Tone (Warmth & Camaraderie)\", \"reason_1\": \"Due to the facial distortions, the intended 'warm smiles' appear grotesque and frightening.\", \"reason_2\": \"The subjects exhibit natural, pleasant smiles and engaged body language, successfully conveying the requested sense of unity and respect.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is chaotic and the subjects are often cut off or obscured by artifacts.\", \"reason_2\": \"The shot is well-composed, keeping all relevant subjects in frame and focusing attention on the table interaction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unpleasant due to the high level of generation error.\", \"reason_2\": \"The video is aesthetically pleasing, with good lighting and color balance.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully conveys the intended mood of camaraderie and warmth, whereas Video 1's visual glitches create an unintentional horror aesthetic.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every technical and aesthetic metric. It presents a coherent, high-resolution scene with stable human anatomy and clear interactions. Video 1 suffers from catastrophic morphological failure, with severe facial distortions, melting features, and extreme temporal instability that renders the content nightmarish rather than heartwarming.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit community center, a diverse group of individuals gathers, each representing a unique cultural background, dressed in traditional attire that reflects their heritage. The camera captures a young woman in a vibrant sari, an elderly man in a tailored suit, a teenager in a colorful dashiki, and a middle-aged woman in a hijab, all exchanging warm smiles. As they engage in animated discussions around a large wooden table, their gestures and expressions reveal a blend of curiosity and respect. The camera zooms in on their hands, illustrating a moment of unity as they collaboratively sketch ideas on a shared notepad. The scene transitions to a lively group activity, where laughter and understanding bridge their differences, culminating in a shared sense of purpose and camaraderie.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 attempts the attire but the subjects are unrecognizable due to severe distortion; the 'teenager in dashiki' is not clearly identifiable.", "reason_2": "Video 2 clearly depicts the woman in the sari, the man in the suit, and the woman in the hijab with high fidelity, though it also misses the specific 'teenager in dashiki' requirement.", "score_1": 2, "score_2": 8}, {"name": "Action Logic: Collaborative Sketching", "reason_1": "The action of sketching is present but rendered as a morphing blob of pixels rather than distinct hand movements.", "reason_2": "The video clearly shows hands interacting with a notepad and pens, accurately reflecting the 'collaboratively sketch ideas' instruction.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Sunlit Center)", "reason_1": "The background is blurry and indistinct, barely suggesting a room.", "reason_2": "The background clearly shows a sunlit building exterior through a window, fitting the 'community center' description well.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the diverse group, the specific attire (sari, suit, hijab), and the collaborative action of sketching. Video 1 attempts the elements but fails to render them with enough clarity to be semantically valid.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "Faces are severely deformed, with melting features and misplaced eyes, creating a disturbing visual effect.", "reason_2": "Faces are rendered with high realism, maintaining human proportions and clear expressions throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "Subjects constantly morph, shrink, and expand; the video lacks any temporal consistency.", "reason_2": "Subject identities and shapes remain consistent over time with minimal flickering or warping.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is noisy, blurry, and lacks texture detail.", "reason_2": "The video is sharp, with clear textures on the clothing and the wooden table.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the most significant differentiator. Video 1 is plagued by severe artifacts and anatomical failures, while Video 2 is stable, sharp, and realistic.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Tone (Warmth & Camaraderie)", "reason_1": "Due to the facial distortions, the intended 'warm smiles' appear grotesque and frightening.", "reason_2": "The subjects exhibit natural, pleasant smiles and engaged body language, successfully conveying the requested sense of unity and respect.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is chaotic and the subjects are often cut off or obscured by artifacts.", "reason_2": "The shot is well-composed, keeping all relevant subjects in frame and focusing attention on the table interaction.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unpleasant due to the high level of generation error.", "reason_2": "The video is aesthetically pleasing, with good lighting and color balance.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully conveys the intended mood of camaraderie and warmth, whereas Video 1's visual glitches create an unintentional horror aesthetic.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every technical and aesthetic metric. It presents a coherent, high-resolution scene with stable human anatomy and clear interactions. Video 1 suffers from catastrophic morphological failure, with severe facial distortions, melting features, and extreme temporal instability that renders the content nightmarish rather than heartwarming.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 17.0, "total_score_2": 73.0, "elapsed_sec": 57.826} +{"pair_id": "059_seed_310", "sample_index": 59, "seed": 310, "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_310_A solitary figure sits on the edge of a dimly lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_310_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_310_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_310_A solitary figure sits on the edge of a dimly lit.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Lighting & Shadow Dynamics\", \"reason_1\": \"Video 1 perfectly visualizes the 'silhouette partially illuminated' and 'shadows that dance across the walls' as explicitly requested.\", \"reason_2\": \"Video 2 utilizes generic soft lighting; the shadows are static and do not 'dance' or interact with the wall as described.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Expression & Emotional Specificity\", \"reason_1\": \"The character clearly displays 'furrowed brows' and 'tear-filled eyes' with a readable expression of sadness.\", \"reason_2\": \"The subject's face is heavily distorted and morphs unnaturally, making the specific emotions (furrowed brows/tears) difficult to discern amidst the artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Sequence Fidelity (Zoom & Letter)\", \"reason_1\": \"Video 1 executes the 'zoom in' on the letter and the 'clutching' action effectively, though it misses the final 'pan out' and 'deep breath' sequence.\", \"reason_2\": \"Video 2 attempts the zoom but the motion is jerky, and the interaction with the letter is marred by the subject's body morphing.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately captures the specific lighting dynamics and emotional cues requested, whereas Video 2 fails to render the specific shadow play and struggles with the subject's expression.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"The character's features remain consistent and solid throughout the animation.\", \"reason_2\": \"The subject's face suffers from severe 'melting' and distortion, losing structural integrity entirely during the movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Clarity & Artifact Control\", \"reason_1\": \"The image is clean, sharp, and free of generation noise.\", \"reason_2\": \"The video contains significant visual noise and blurring, particularly around the hands and face.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The animation is fluid with a consistent frame rate.\", \"reason_2\": \"The motion is stuttery and unnatural, resembling a series of morphed images rather than continuous video.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains perfect structural integrity within its style, while Video 2 exhibits catastrophic failure in maintaining subject identity and form.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood & Tone\", \"reason_1\": \"The sepia tones and high-contrast shadows effectively evoke the 'solitary' and 'haunting' mood described.\", \"reason_2\": \"The mood is disrupted by the uncanny valley effect of the distorted face, creating a horror vibe rather than a sad one.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Intent\", \"reason_1\": \"The camera zoom is smooth and intentional, focusing the viewer's attention on the letter.\", \"reason_2\": \"The camera movement feels accidental and shaky, lacking cinematic intent.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"The clip tells a clear, coherent micro-story of a sad figure reading a letter.\", \"reason_2\": \"The narrative is lost because the viewer is distracted by the technical failures of the generation.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully establishes the haunting, solitary mood through effective composition and lighting, whereas Video 2's aesthetic is broken by technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates superior adherence to the prompt's specific atmospheric and lighting requirements, particularly the 'dancing shadows' and 'silhouette' effects, while maintaining high morphological stability. Video 2 suffers from severe facial distortion and temporal instability, which destroys the intended emotional narrative.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Lighting & Shadow Dynamics", "reason_1": "Video 1 perfectly visualizes the 'silhouette partially illuminated' and 'shadows that dance across the walls' as explicitly requested.", "reason_2": "Video 2 utilizes generic soft lighting; the shadows are static and do not 'dance' or interact with the wall as described.", "score_1": 9, "score_2": 1}, {"name": "Subject Expression & Emotional Specificity", "reason_1": "The character clearly displays 'furrowed brows' and 'tear-filled eyes' with a readable expression of sadness.", "reason_2": "The subject's face is heavily distorted and morphs unnaturally, making the specific emotions (furrowed brows/tears) difficult to discern amidst the artifacts.", "score_1": 8, "score_2": 2}, {"name": "Action Sequence Fidelity (Zoom & Letter)", "reason_1": "Video 1 executes the 'zoom in' on the letter and the 'clutching' action effectively, though it misses the final 'pan out' and 'deep breath' sequence.", "reason_2": "Video 2 attempts the zoom but the motion is jerky, and the interaction with the letter is marred by the subject's body morphing.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately captures the specific lighting dynamics and emotional cues requested, whereas Video 2 fails to render the specific shadow play and struggles with the subject's expression.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Body)", "reason_1": "The character's features remain consistent and solid throughout the animation.", "reason_2": "The subject's face suffers from severe 'melting' and distortion, losing structural integrity entirely during the movement.", "score_1": 9, "score_2": 1}, {"name": "Visual Clarity & Artifact Control", "reason_1": "The image is clean, sharp, and free of generation noise.", "reason_2": "The video contains significant visual noise and blurring, particularly around the hands and face.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The animation is fluid with a consistent frame rate.", "reason_2": "The motion is stuttery and unnatural, resembling a series of morphed images rather than continuous video.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains perfect structural integrity within its style, while Video 2 exhibits catastrophic failure in maintaining subject identity and form.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood & Tone", "reason_1": "The sepia tones and high-contrast shadows effectively evoke the 'solitary' and 'haunting' mood described.", "reason_2": "The mood is disrupted by the uncanny valley effect of the distorted face, creating a horror vibe rather than a sad one.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Intent", "reason_1": "The camera zoom is smooth and intentional, focusing the viewer's attention on the letter.", "reason_2": "The camera movement feels accidental and shaky, lacking cinematic intent.", "score_1": 7, "score_2": 3}, {"name": "Narrative Coherence", "reason_1": "The clip tells a clear, coherent micro-story of a sad figure reading a letter.", "reason_2": "The narrative is lost because the viewer is distracted by the technical failures of the generation.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully establishes the haunting, solitary mood through effective composition and lighting, whereas Video 2's aesthetic is broken by technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates superior adherence to the prompt's specific atmospheric and lighting requirements, particularly the 'dancing shadows' and 'silhouette' effects, while maintaining high morphological stability. Video 2 suffers from severe facial distortion and temporal instability, which destroys the intended emotional narrative.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 56.037} +{"pair_id": "062_seed_42", "sample_index": 62, "seed": 42, "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_42_In a bustling office a group of female employees d.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Spatial Logic\", \"reason_1\": \"Video 1 clearly depicts a group of women and men around a table, maintaining a logical spatial arrangement that matches the 'conference' setting.\", \"reason_2\": \"Video 2 presents a chaotic arrangement where subjects blend into one another and the background, failing to establish a clear 'group' dynamic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Fidelity (Frustration/Determination)\", \"reason_1\": \"The subjects in Video 1 display readable expressions of concern and seriousness, aligning well with the prompt's request for 'determination and frustration'.\", \"reason_2\": \"The expressions in Video 2 are heavily distorted by artifacts, resulting in unnatural grimaces rather than recognizable human emotions.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Modern Office)\", \"reason_1\": \"Video 1 renders a convincing modern office background with depth and appropriate lighting.\", \"reason_2\": \"The background in Video 2 is washed out and lacks the distinct 'modern decor' details requested.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately establishes the office setting and the specific group dynamic requested. Video 2 struggles to maintain the structural integrity of the subjects, making the semantic elements difficult to discern.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Video 1 maintains consistent facial features for the main subjects throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe facial collapse; eyes drift, mouths distort, and features melt, destroying any sense of realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The subjects in Video 1 hold their physical form solidly over time.\", \"reason_2\": \"Video 2 suffers from constant morphing, where hair, clothing, and limbs shift and warp unnaturally between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Artifact Control\", \"reason_1\": \"The image is sharp and relatively free of noise.\", \"reason_2\": \"The video is plagued by visual noise and blurring, particularly around the moving subjects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains high stability, whereas Video 2 fails fundamentally with severe facial hallucinations and morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced composition that focuses attention on the interaction at the table.\", \"reason_2\": \"The framing in Video 2 is awkward, often cutting off heads or placing subjects in unappealing angles.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Mood (Tension/Solidarity)\", \"reason_1\": \"The lighting and body language in Video 1 successfully evoke the 'poignant narrative' and tension described.\", \"reason_2\": \"The mood is lost entirely due to the distracting and grotesque visual errors.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 looks like a coherent scene from a film or TV show.\", \"reason_2\": \"Video 2 is visually unpleasant due to the high frequency of generation errors.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 employs a professional cinematic style that supports the narrative of a tense office meeting. Video 2 lacks aesthetic coherence due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual stability and anatomical consistency. It successfully renders a coherent office environment with distinct characters who maintain their facial features and identities throughout the clip. Video 2 suffers from severe morphological instability, with faces melting, eyes misaligning, and significant temporal flickering that completely breaks the realism and narrative immersion.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Spatial Logic", "reason_1": "Video 1 clearly depicts a group of women and men around a table, maintaining a logical spatial arrangement that matches the 'conference' setting.", "reason_2": "Video 2 presents a chaotic arrangement where subjects blend into one another and the background, failing to establish a clear 'group' dynamic.", "score_1": 8, "score_2": 2}, {"name": "Expression Fidelity (Frustration/Determination)", "reason_1": "The subjects in Video 1 display readable expressions of concern and seriousness, aligning well with the prompt's request for 'determination and frustration'.", "reason_2": "The expressions in Video 2 are heavily distorted by artifacts, resulting in unnatural grimaces rather than recognizable human emotions.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Modern Office)", "reason_1": "Video 1 renders a convincing modern office background with depth and appropriate lighting.", "reason_2": "The background in Video 2 is washed out and lacks the distinct 'modern decor' details requested.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately establishes the office setting and the specific group dynamic requested. Video 2 struggles to maintain the structural integrity of the subjects, making the semantic elements difficult to discern.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Video 1 maintains consistent facial features for the main subjects throughout the clip.", "reason_2": "Video 2 exhibits severe facial collapse; eyes drift, mouths distort, and features melt, destroying any sense of realism.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The subjects in Video 1 hold their physical form solidly over time.", "reason_2": "Video 2 suffers from constant morphing, where hair, clothing, and limbs shift and warp unnaturally between frames.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Artifact Control", "reason_1": "The image is sharp and relatively free of noise.", "reason_2": "The video is plagued by visual noise and blurring, particularly around the moving subjects.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains high stability, whereas Video 2 fails fundamentally with severe facial hallucinations and morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a balanced composition that focuses attention on the interaction at the table.", "reason_2": "The framing in Video 2 is awkward, often cutting off heads or placing subjects in unappealing angles.", "score_1": 7, "score_2": 3}, {"name": "Narrative Mood (Tension/Solidarity)", "reason_1": "The lighting and body language in Video 1 successfully evoke the 'poignant narrative' and tension described.", "reason_2": "The mood is lost entirely due to the distracting and grotesque visual errors.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 looks like a coherent scene from a film or TV show.", "reason_2": "Video 2 is visually unpleasant due to the high frequency of generation errors.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 employs a professional cinematic style that supports the narrative of a tense office meeting. Video 2 lacks aesthetic coherence due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual stability and anatomical consistency. It successfully renders a coherent office environment with distinct characters who maintain their facial features and identities throughout the clip. Video 2 suffers from severe morphological instability, with faces melting, eyes misaligning, and significant temporal flickering that completely breaks the realism and narrative immersion.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 55.906} +{"pair_id": "064_seed_930", "sample_index": 64, "seed": 930, "prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_064_seed_930_In a dimly lit smoke-filled room a diverse group o.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Smoke)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit, smoke-filled room' with a 'soft glow' from an overhead source, creating the exact mood requested.\", \"reason_2\": \"Video 2 presents a flatly lit, generic room that lacks the smoke, the specific lighting source, and the dramatic atmosphere described.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject & Prop Fidelity (Table Clutter)\", \"reason_1\": \"Video 1 clearly displays the requested blueprints, maps, and digital tablets on the table, integrated naturally into the scene.\", \"reason_2\": \"Video 2 shows a table, but the props are indistinct and lack the specific detail of blueprints or maps, looking more like generic office clutter.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Sequence Adherence (Montage)\", \"reason_1\": \"Video 1 fails to execute the requested 'montage of preparations' and 'hacking/stealth' scenes, remaining static on the planning phase.\", \"reason_2\": \"Video 2 also completely ignores the narrative progression instructions, failing to show the montage or the specific actions of honing skills.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 accurately renders the specific environmental cues (smoke, lighting) and props (maps, tablets) requested. Video 2 fails to capture the atmospheric description and presents a generic, poorly defined setting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"The subjects in Video 1 maintain consistent, realistic facial features throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and distortion of faces, particularly the man on the right, whose features shift grotesquely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body & Objects)\", \"reason_1\": \"Objects and bodies in Video 1 remain solid and obey physical space.\", \"reason_2\": \"Video 2 suffers from significant morphing artifacts; hands merge with the table and bodies warp unnaturally during movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 has a sharp, cinematic look with realistic textures on clothing and paper.\", \"reason_2\": \"Video 2 has a blurry, low-resolution appearance with muddy textures and digital noise.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and realism. Video 2 is plagued by severe artifacts, including melting faces and warping bodies, rendering it visually unacceptable.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"Video 1 utilizes backlighting and volumetric fog effectively to create the 'tense' and 'dimly lit' aesthetic.\", \"reason_2\": \"Video 2 uses flat, uninspired lighting that fails to evoke any specific mood or tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is balanced, focusing attention on the group dynamic and the table.\", \"reason_2\": \"Video 2 has awkward framing with subjects cut off or positioned strangely, lacking a focal point.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 looks like a clip from a high-budget film.\", \"reason_2\": \"Video 2 looks like a glitchy, early-generation AI error.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully establishes a cinematic heist aesthetic with appropriate lighting and composition. Video 2 lacks artistic merit due to its technical flaws and flat composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, atmospheric accuracy, and stability. It successfully creates the 'dimly lit, smoke-filled' environment and renders the props (maps, tablets) with high realism. While both videos fail to generate the requested 'montage of preparations' (hacking/stealth scenes), Video 1 provides a coherent, high-quality cinematic shot of the planning phase. Video 2 suffers from severe morphological instability, facial distortion, and poor lighting, making it visually incoherent.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit, smoke-filled room, a diverse group of individuals huddles around a large table cluttered with blueprints, maps, and digital tablets, their faces illuminated by the soft glow of a single overhead lamp. The camera pans over their intense expressions, capturing the leader, a sharp-eyed woman in a tailored suit, outlining the heist's intricate details with precision. As they strategize, the camera zooms in on a young man, his brow furrowed, grappling with the moral implications of their plan. Tension mounts as they debate the risks and rewards, their voices a mix of excitement and apprehension. The scene shifts to a montage of their preparations, each member honing their skills, from hacking security systems to practicing stealth maneuvers. The camera lingers on their faces, revealing moments of doubt and resolve, as they confront the ethical dilemmas of their audacious scheme.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Smoke)", "reason_1": "Video 1 perfectly captures the 'dimly lit, smoke-filled room' with a 'soft glow' from an overhead source, creating the exact mood requested.", "reason_2": "Video 2 presents a flatly lit, generic room that lacks the smoke, the specific lighting source, and the dramatic atmosphere described.", "score_1": 9, "score_2": 1}, {"name": "Subject & Prop Fidelity (Table Clutter)", "reason_1": "Video 1 clearly displays the requested blueprints, maps, and digital tablets on the table, integrated naturally into the scene.", "reason_2": "Video 2 shows a table, but the props are indistinct and lack the specific detail of blueprints or maps, looking more like generic office clutter.", "score_1": 8, "score_2": 2}, {"name": "Narrative Sequence Adherence (Montage)", "reason_1": "Video 1 fails to execute the requested 'montage of preparations' and 'hacking/stealth' scenes, remaining static on the planning phase.", "reason_2": "Video 2 also completely ignores the narrative progression instructions, failing to show the montage or the specific actions of honing skills.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 accurately renders the specific environmental cues (smoke, lighting) and props (maps, tablets) requested. Video 2 fails to capture the atmospheric description and presents a generic, poorly defined setting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "The subjects in Video 1 maintain consistent, realistic facial features throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and distortion of faces, particularly the man on the right, whose features shift grotesquely.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body & Objects)", "reason_1": "Objects and bodies in Video 1 remain solid and obey physical space.", "reason_2": "Video 2 suffers from significant morphing artifacts; hands merge with the table and bodies warp unnaturally during movement.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 has a sharp, cinematic look with realistic textures on clothing and paper.", "reason_2": "Video 2 has a blurry, low-resolution appearance with muddy textures and digital noise.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and realism. Video 2 is plagued by severe artifacts, including melting faces and warping bodies, rendering it visually unacceptable.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "Video 1 utilizes backlighting and volumetric fog effectively to create the 'tense' and 'dimly lit' aesthetic.", "reason_2": "Video 2 uses flat, uninspired lighting that fails to evoke any specific mood or tension.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is balanced, focusing attention on the group dynamic and the table.", "reason_2": "Video 2 has awkward framing with subjects cut off or positioned strangely, lacking a focal point.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 looks like a clip from a high-budget film.", "reason_2": "Video 2 looks like a glitchy, early-generation AI error.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully establishes a cinematic heist aesthetic with appropriate lighting and composition. Video 2 lacks artistic merit due to its technical flaws and flat composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, atmospheric accuracy, and stability. It successfully creates the 'dimly lit, smoke-filled' environment and renders the props (maps, tablets) with high realism. While both videos fail to generate the requested 'montage of preparations' (hacking/stealth scenes), Video 1 provides a coherent, high-quality cinematic shot of the planning phase. Video 2 suffers from severe morphological instability, facial distortion, and poor lighting, making it visually incoherent.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 62.718} +{"pair_id": "067_seed_310", "sample_index": 67, "seed": 310, "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_310_A group of adventurous children wearing colorful c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_310_A group of adventurous children wearing colorful c.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_310_A group of adventurous children wearing colorful c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_310_A group of adventurous children wearing colorful c.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Quantity & Group Dynamics\", \"reason_1\": \"Video 1 depicts only two children, which is a minimal interpretation of a 'group'.\", \"reason_2\": \"Video 2 depicts a larger group of four children, aligning much better with the prompt's request for a 'group'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Detail (Rust & Machinery)\", \"reason_1\": \"The environment is present but lacks definition; the machinery is blurry and indistinct.\", \"reason_2\": \"The video renders specific textures of rusted metal, industrial pipes, and debris with high clarity, matching the 'abandoned industrial site' description perfectly.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Fidelity (Colorful Clothes)\", \"reason_1\": \"The clothing colors are washed out and blend into the background due to low contrast.\", \"reason_2\": \"The children wear distinct, vibrant colors (neon green, pink, blue) that pop against the rusty background, fulfilling the 'colorful clothes' requirement.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 better captures the 'group' aspect and the specific environmental details requested, such as the rusted machinery and colorful clothing, which are rendered with much higher clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and low-resolution, making it difficult to discern details.\", \"reason_2\": \"The image is crisp, sharp, and high-resolution, allowing for clear visibility of textures and facial features.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The children's faces and bodies morph and distort significantly as they move.\", \"reason_2\": \"The children maintain their general form and identity throughout the clip, with only minor inconsistencies.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The motion is jerky and the camera movement feels unstable and unintentional.\", \"reason_2\": \"The camera tracks the subjects smoothly, and the walking motion is relatively fluid.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior in every aspect, offering a sharp, stable image compared to the blurry and unstable output of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Lighting & Shadow Contrast\", \"reason_1\": \"Lighting is flat and dull, failing to capture the 'sun casts long shadows' aspect effectively.\", \"reason_2\": \"The video features strong directional lighting that creates distinct shadows, enhancing the depth and mood as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is tight and claustrophobic, often cutting off parts of the subjects or the environment awkwardly.\", \"reason_2\": \"The wide shot effectively establishes the scale of the industrial site relative to the children, creating a better sense of exploration.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Mood (Innocence vs. Peril)\", \"reason_1\": \"The low quality creates an unintentional eerie or glitchy mood rather than one of wonder.\", \"reason_2\": \"The bright colors against the decaying background successfully evoke the contrast between the children's innocence and the harsh environment.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully creates the requested atmosphere through better lighting and composition, whereas Video 1 feels accidental and poorly framed.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, subject consistency, and environmental detail. While Video 1 suffers from severe blurriness, low resolution, and significant morphological distortion of the subjects, Video 2 presents a sharp, high-definition scene with a clearly defined group of children and a detailed industrial background. Video 2 also captures the lighting and color contrast requested in the prompt much more effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Quantity & Group Dynamics", "reason_1": "Video 1 depicts only two children, which is a minimal interpretation of a 'group'.", "reason_2": "Video 2 depicts a larger group of four children, aligning much better with the prompt's request for a 'group'.", "score_1": 3, "score_2": 7}, {"name": "Environmental Detail (Rust & Machinery)", "reason_1": "The environment is present but lacks definition; the machinery is blurry and indistinct.", "reason_2": "The video renders specific textures of rusted metal, industrial pipes, and debris with high clarity, matching the 'abandoned industrial site' description perfectly.", "score_1": 2, "score_2": 8}, {"name": "Attribute Fidelity (Colorful Clothes)", "reason_1": "The clothing colors are washed out and blend into the background due to low contrast.", "reason_2": "The children wear distinct, vibrant colors (neon green, pink, blue) that pop against the rusty background, fulfilling the 'colorful clothes' requirement.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 better captures the 'group' aspect and the specific environmental details requested, such as the rusted machinery and colorful clothing, which are rendered with much higher clarity.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and low-resolution, making it difficult to discern details.", "reason_2": "The image is crisp, sharp, and high-resolution, allowing for clear visibility of textures and facial features.", "score_1": 1, "score_2": 9}, {"name": "Subject Identity Persistence", "reason_1": "The children's faces and bodies morph and distort significantly as they move.", "reason_2": "The children maintain their general form and identity throughout the clip, with only minor inconsistencies.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Stability", "reason_1": "The motion is jerky and the camera movement feels unstable and unintentional.", "reason_2": "The camera tracks the subjects smoothly, and the walking motion is relatively fluid.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior in every aspect, offering a sharp, stable image compared to the blurry and unstable output of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Lighting & Shadow Contrast", "reason_1": "Lighting is flat and dull, failing to capture the 'sun casts long shadows' aspect effectively.", "reason_2": "The video features strong directional lighting that creates distinct shadows, enhancing the depth and mood as requested.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is tight and claustrophobic, often cutting off parts of the subjects or the environment awkwardly.", "reason_2": "The wide shot effectively establishes the scale of the industrial site relative to the children, creating a better sense of exploration.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Mood (Innocence vs. Peril)", "reason_1": "The low quality creates an unintentional eerie or glitchy mood rather than one of wonder.", "reason_2": "The bright colors against the decaying background successfully evoke the contrast between the children's innocence and the harsh environment.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully creates the requested atmosphere through better lighting and composition, whereas Video 1 feels accidental and poorly framed.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, subject consistency, and environmental detail. While Video 1 suffers from severe blurriness, low resolution, and significant morphological distortion of the subjects, Video 2 presents a sharp, high-definition scene with a clearly defined group of children and a detailed industrial background. Video 2 also captures the lighting and color contrast requested in the prompt much more effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 22.0, "total_score_2": 68.0, "elapsed_sec": 55.465} +{"pair_id": "070_seed_42", "sample_index": 70, "seed": 42, "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_42_In a bustling public square two opposing groups fa.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Specificity (Man & Woman)\", \"reason_1\": \"Video 1 clearly features the young man shouting and the woman nearby clutching a sign, matching the prompt's character descriptions perfectly.\", \"reason_2\": \"Video 2 generates a chaotic crowd where specific characters are indistinguishable; the 'woman clutching a sign' is not clearly identifiable.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Dynamics (Surge & Zoom)\", \"reason_1\": \"Video 1 is largely static and fails to execute the 'groups surge towards each other' or the 'camera zooming in' instruction.\", \"reason_2\": \"Video 2 successfully attempts the dynamic movement of the crowd surging forward and the camera zooming in, aligning well with the action verbs in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Prop & Attribute Fidelity (Banners/Signs)\", \"reason_1\": \"Video 1 renders distinct banners with contrasting colors and legible (though stylized) text, fulfilling the 'clashing messages' requirement.\", \"reason_2\": \"Video 2 renders flags that morph into the subjects' bodies and lacks distinct, readable signs or messages.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific characters and props described, whereas Video 2 fails to render the specific 'woman clutching a sign' and loses subject definition in the chaos.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face/Body)\", \"reason_1\": \"Video 1 maintains perfect structural integrity of the characters throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; faces distort grotesquely, and bodies merge with flags, breaking all realism.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is crisp, clean, and free of noise or compression artifacts.\", \"reason_2\": \"The video is blurry, noisy, and suffers from significant generation artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The main character's identity remains consistent from start to finish.\", \"reason_2\": \"The central figure in Video 2 changes appearance and facial structure multiple times within a few seconds.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 maintains perfect visual stability and clarity. Video 2 suffers from catastrophic failure in morphological stability, with faces and objects melting and distorting severely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression & Readability\", \"reason_1\": \"The expressions of determination and shouting are clearly readable and stylistically consistent.\", \"reason_2\": \"The intended emotions are lost behind the horror-like distortion of the faces.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced composition that clearly establishes the relationship between the two main characters and the crowd.\", \"reason_2\": \"Video 2's framing is chaotic and messy, making it difficult to understand the spatial relationships in the scene.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Stylistic Coherence\", \"reason_1\": \"Video 1 adheres to a consistent anime art style.\", \"reason_2\": \"Video 2 attempts photorealism but fails, resulting in a jarring and incoherent visual style.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 presents a coherent, aesthetically pleasing anime scene with clear emotional expression. Video 2's aesthetic is ruined by technical glitches, creating an unintentional horror effect.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, structural coherence, and accurate depiction of the specific subjects requested (the shouting man and the woman with the sign). While Video 2 attempts the dynamic camera movement and crowd surge described in the prompt, it suffers from severe morphological collapse, with faces melting and identities becoming unrecognizable. Video 1, despite being stylistically static (anime style), delivers a clean, readable, and emotionally resonant scene that aligns well with the character descriptions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Specificity (Man & Woman)", "reason_1": "Video 1 clearly features the young man shouting and the woman nearby clutching a sign, matching the prompt's character descriptions perfectly.", "reason_2": "Video 2 generates a chaotic crowd where specific characters are indistinguishable; the 'woman clutching a sign' is not clearly identifiable.", "score_1": 9, "score_2": 1}, {"name": "Action Dynamics (Surge & Zoom)", "reason_1": "Video 1 is largely static and fails to execute the 'groups surge towards each other' or the 'camera zooming in' instruction.", "reason_2": "Video 2 successfully attempts the dynamic movement of the crowd surging forward and the camera zooming in, aligning well with the action verbs in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Prop & Attribute Fidelity (Banners/Signs)", "reason_1": "Video 1 renders distinct banners with contrasting colors and legible (though stylized) text, fulfilling the 'clashing messages' requirement.", "reason_2": "Video 2 renders flags that morph into the subjects' bodies and lacks distinct, readable signs or messages.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific characters and props described, whereas Video 2 fails to render the specific 'woman clutching a sign' and loses subject definition in the chaos.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face/Body)", "reason_1": "Video 1 maintains perfect structural integrity of the characters throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; faces distort grotesquely, and bodies merge with flags, breaking all realism.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is crisp, clean, and free of noise or compression artifacts.", "reason_2": "The video is blurry, noisy, and suffers from significant generation artifacts.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The main character's identity remains consistent from start to finish.", "reason_2": "The central figure in Video 2 changes appearance and facial structure multiple times within a few seconds.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 maintains perfect visual stability and clarity. Video 2 suffers from catastrophic failure in morphological stability, with faces and objects melting and distorting severely.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression & Readability", "reason_1": "The expressions of determination and shouting are clearly readable and stylistically consistent.", "reason_2": "The intended emotions are lost behind the horror-like distortion of the faces.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a balanced composition that clearly establishes the relationship between the two main characters and the crowd.", "reason_2": "Video 2's framing is chaotic and messy, making it difficult to understand the spatial relationships in the scene.", "score_1": 7, "score_2": 3}, {"name": "Stylistic Coherence", "reason_1": "Video 1 adheres to a consistent anime art style.", "reason_2": "Video 2 attempts photorealism but fails, resulting in a jarring and incoherent visual style.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 presents a coherent, aesthetically pleasing anime scene with clear emotional expression. Video 2's aesthetic is ruined by technical glitches, creating an unintentional horror effect.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, structural coherence, and accurate depiction of the specific subjects requested (the shouting man and the woman with the sign). While Video 2 attempts the dynamic camera movement and crowd surge described in the prompt, it suffers from severe morphological collapse, with faces melting and identities becoming unrecognizable. Video 1, despite being stylistically static (anime style), delivers a clean, readable, and emotionally resonant scene that aligns well with the character descriptions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 60.316} +{"pair_id": "072_seed_930", "sample_index": 72, "seed": 930, "prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_072_seed_930_The camera swiftly navigates through a bustling To.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Fidelity (Neon & Reflections)\", \"reason_1\": \"Video 1 features dull, washed-out lighting with minimal neon presence, failing to capture the 'electric blue, fiery red' description.\", \"reason_2\": \"Video 2 vividly renders the requested neon hues and creates strong, dynamic reflections on the wet pavement, aligning perfectly with the atmospheric prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Specificity (Vehicles & Fashion)\", \"reason_1\": \"Video 1 attempts to show vehicles, but they are generic and heavily distorted, failing the 'sleek, autonomous' descriptor.\", \"reason_2\": \"Video 2 shows a standard taxi rather than a futuristic autonomous vehicle, but the pedestrians and general street elements are rendered with much higher clarity and presence.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Tokyo Street)\", \"reason_1\": \"The environment is recognizable as a street but lacks the 'bustling' energy and detail due to blur.\", \"reason_2\": \"Video 2 captures the density and specific aesthetic of a Tokyo street (resembling Kabukicho) with high detail in the signage and crowd.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the atmospheric requirements (neon, rain, reflections) much better than Video 1, which fails to render the scene with the requested vibrancy.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The vehicles in Video 1 severely deform, melt, and change shape as they move, breaking all immersion.\", \"reason_2\": \"Video 2 maintains the structural integrity of the car, buildings, and pedestrians throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture detail.\", \"reason_2\": \"The image is crisp, with clear textures on the road and distinct details in the background signage.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion is jerky and unnatural, with objects sliding rather than rolling.\", \"reason_2\": \"The camera movement and subject motion are smooth and physically plausible.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is technically superior in every aspect, maintaining object solidity and image sharpness, whereas Video 1 is plagued by severe artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"Colors are muted and muddy, failing to evoke the 'kaleidoscope of colors' requested.\", \"reason_2\": \"The video utilizes a rich, saturated color palette that effectively conveys the 'vibrant' and 'electric' mood.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is chaotic and the distortion makes it difficult to focus on any subject.\", \"reason_2\": \"The shot is well-composed, leading the eye down the street with a clear sense of depth and scale.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy artifacts and lack of clarity.\", \"reason_2\": \"The video is aesthetically pleasing, resembling a high-quality cinematic shot of a city at night.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 offers a visually pleasing and professional-looking composition with rich colors, while Video 1 is aesthetically poor due to technical flaws.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, temporal stability, and atmospheric rendering. While both videos struggle to fully depict the specific 'futuristic' and 'holographic' elements requested, Video 2 successfully captures the 'bustling Tokyo street' vibe with high-quality neon lighting, realistic wet pavement reflections, and stable motion. Video 1 suffers from severe morphological distortion, low resolution, and a lack of color vibrancy, making it visually incoherent compared to the polished look of Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera swiftly navigates through a bustling Tokyo street, alive with futuristic energy. Neon signs in vivid hues of electric blue, fiery red, and vibrant green illuminate the scene, casting dynamic reflections on rain-soaked pavement. Lens flares dance across the screen, enhancing the kaleidoscope of colors. Holographic advertisements hover above, projecting animated visuals that captivate passersby. The street is a symphony of motion, with sleek, autonomous vehicles gliding silently alongside pedestrians in avant-garde fashion. The air buzzes with the hum of technology, while the aroma of street food wafts through the crowd, adding to the sensory overload of this vibrant, fast-paced urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Fidelity (Neon & Reflections)", "reason_1": "Video 1 features dull, washed-out lighting with minimal neon presence, failing to capture the 'electric blue, fiery red' description.", "reason_2": "Video 2 vividly renders the requested neon hues and creates strong, dynamic reflections on the wet pavement, aligning perfectly with the atmospheric prompt.", "score_1": 2, "score_2": 8}, {"name": "Subject Specificity (Vehicles & Fashion)", "reason_1": "Video 1 attempts to show vehicles, but they are generic and heavily distorted, failing the 'sleek, autonomous' descriptor.", "reason_2": "Video 2 shows a standard taxi rather than a futuristic autonomous vehicle, but the pedestrians and general street elements are rendered with much higher clarity and presence.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Tokyo Street)", "reason_1": "The environment is recognizable as a street but lacks the 'bustling' energy and detail due to blur.", "reason_2": "Video 2 captures the density and specific aesthetic of a Tokyo street (resembling Kabukicho) with high detail in the signage and crowd.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the atmospheric requirements (neon, rain, reflections) much better than Video 1, which fails to render the scene with the requested vibrancy.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The vehicles in Video 1 severely deform, melt, and change shape as they move, breaking all immersion.", "reason_2": "Video 2 maintains the structural integrity of the car, buildings, and pedestrians throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, low-resolution, and lacks texture detail.", "reason_2": "The image is crisp, with clear textures on the road and distinct details in the background signage.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "The motion is jerky and unnatural, with objects sliding rather than rolling.", "reason_2": "The camera movement and subject motion are smooth and physically plausible.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is technically superior in every aspect, maintaining object solidity and image sharpness, whereas Video 1 is plagued by severe artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Vibrancy", "reason_1": "Colors are muted and muddy, failing to evoke the 'kaleidoscope of colors' requested.", "reason_2": "The video utilizes a rich, saturated color palette that effectively conveys the 'vibrant' and 'electric' mood.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition", "reason_1": "The framing is chaotic and the distortion makes it difficult to focus on any subject.", "reason_2": "The shot is well-composed, leading the eye down the street with a clear sense of depth and scale.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to heavy artifacts and lack of clarity.", "reason_2": "The video is aesthetically pleasing, resembling a high-quality cinematic shot of a city at night.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 offers a visually pleasing and professional-looking composition with rich colors, while Video 1 is aesthetically poor due to technical flaws.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, temporal stability, and atmospheric rendering. While both videos struggle to fully depict the specific 'futuristic' and 'holographic' elements requested, Video 2 successfully captures the 'bustling Tokyo street' vibe with high-quality neon lighting, realistic wet pavement reflections, and stable motion. Video 1 suffers from severe morphological distortion, low resolution, and a lack of color vibrancy, making it visually incoherent compared to the polished look of Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 20.0, "total_score_2": 70.0, "elapsed_sec": 59.841} +{"pair_id": "075_seed_310", "sample_index": 75, "seed": 310, "prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_310_In the dim light of dawn a delicate spiders web gl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_310_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_310_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_310_In the dim light of dawn a delicate spiders web gl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Conceptual Integration (Galaxies within Droplets)\", \"reason_1\": \"Video 1 fails to place the galaxies *inside* the droplets; it merely shows a galaxy background behind a web with standard water droplets.\", \"reason_2\": \"Video 2 successfully renders the 'miniature universe' concept, showing vibrant nebulae and stars contained within the volume of the dew drops.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Zoom Execution)\", \"reason_1\": \"Video 1 features a slow, subtle push-in that lacks the dramatic 'zoom' requested to reveal details.\", \"reason_2\": \"Video 2 executes a significant zoom that transitions from a wider shot to a macro view, aligning perfectly with the prompt's instruction to 'zoom in' to reveal the spectacle.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Dawn & Breeze)\", \"reason_1\": \"Video 1 captures the 'dim light of dawn' and the 'gentle sway' of the web very naturally.\", \"reason_2\": \"Video 2 captures the environment well, though the motion of the web is slightly less fluid than Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 accurately interprets the core creative instruction of the prompt—placing galaxies inside the droplets—whereas Video 1 misses this entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Macro Texture Fidelity\", \"reason_1\": \"The web strands and water droplets in Video 1 are rendered with high sharpness and realistic refraction.\", \"reason_2\": \"Video 2 maintains good detail, but the texture of the web strands becomes slightly less defined during the zoom compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"Video 1 is extremely stable with no jitter or morphing artifacts.\", \"reason_2\": \"Video 2 exhibits some minor temporal instability and morphing in the web structure as the camera moves.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Reflection Consistency\", \"reason_1\": \"The lighting on the dew drops is consistent and realistic.\", \"reason_2\": \"The internal lighting of the 'galaxy droplets' is handled well, maintaining consistency throughout the zoom.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 exhibits superior stability and texture sharpness, while Video 2 has minor morphing issues during the zoom.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Impact (Cosmic Spectacle)\", \"reason_1\": \"Video 1 is visually pleasant but lacks the 'spectacle' factor; it looks like a standard nature shot.\", \"reason_2\": \"Video 2 delivers a high-impact visual with vibrant colors and a surreal aesthetic that matches the 'cosmic spectacle' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression (The Reveal)\", \"reason_1\": \"Video 1 is static in its narrative; nothing changes or is revealed.\", \"reason_2\": \"Video 2 follows the narrative arc of the prompt: starting with the web and zooming in to reveal the hidden cosmic details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are muted and realistic, which is nice but less aligned with the 'vibrant' descriptor in the prompt.\", \"reason_2\": \"Video 2 uses rich purples, blues, and golds to depict the nebulae, creating a more striking and prompt-aligned color palette.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the 'cosmic spectacle' and 'ethereal beauty' much better through its vibrant color palette and dramatic composition.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Surreal Concept Execution\", \"dims\": [{\"name\": \"Fantasy Element Realization\", \"reason_1\": \"Video 1 completely ignores the fantasy element of 'droplets as universes'.\", \"reason_2\": \"Video 2 fully realizes the fantasy element, making the droplets look like portals to the cosmos.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Atmospheric Mood (Ethereal/Portal)\", \"reason_1\": \"The mood is calm and natural, missing the 'ethereal' and 'portal' vibe.\", \"reason_2\": \"The combination of the zoom and the glowing internal galaxies creates a strong 'portal' atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Creative Interpretation\", \"reason_1\": \"Video 1 takes a very safe, literal approach to the web and background but fails the creative synthesis.\", \"reason_2\": \"Video 2 creatively synthesizes the macro world (web) with the micro world (galaxies) effectively.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category evaluates the specific fantasy requirement. Video 2 succeeds in creating the 'portal' effect, while Video 1 fails.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully executes the prompt's central surreal concept: the 'miniature universes' inside the droplets. While Video 1 provides a high-quality, realistic image of a web against a starry background, it fails to integrate the galaxies *within* the droplets as requested. Video 2 delivers the requested zoom, the vibrant cosmic colors inside the dew, and the 'portal' aesthetic, fulfilling the narrative and creative demands of the prompt far better.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Conceptual Integration (Galaxies within Droplets)", "reason_1": "Video 1 fails to place the galaxies *inside* the droplets; it merely shows a galaxy background behind a web with standard water droplets.", "reason_2": "Video 2 successfully renders the 'miniature universe' concept, showing vibrant nebulae and stars contained within the volume of the dew drops.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Zoom Execution)", "reason_1": "Video 1 features a slow, subtle push-in that lacks the dramatic 'zoom' requested to reveal details.", "reason_2": "Video 2 executes a significant zoom that transitions from a wider shot to a macro view, aligning perfectly with the prompt's instruction to 'zoom in' to reveal the spectacle.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Dawn & Breeze)", "reason_1": "Video 1 captures the 'dim light of dawn' and the 'gentle sway' of the web very naturally.", "reason_2": "Video 2 captures the environment well, though the motion of the web is slightly less fluid than Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 accurately interprets the core creative instruction of the prompt—placing galaxies inside the droplets—whereas Video 1 misses this entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Macro Texture Fidelity", "reason_1": "The web strands and water droplets in Video 1 are rendered with high sharpness and realistic refraction.", "reason_2": "Video 2 maintains good detail, but the texture of the web strands becomes slightly less defined during the zoom compared to Video 1.", "score_1": 6, "score_2": 4}, {"name": "Motion Smoothness & Stability", "reason_1": "Video 1 is extremely stable with no jitter or morphing artifacts.", "reason_2": "Video 2 exhibits some minor temporal instability and morphing in the web structure as the camera moves.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Reflection Consistency", "reason_1": "The lighting on the dew drops is consistent and realistic.", "reason_2": "The internal lighting of the 'galaxy droplets' is handled well, maintaining consistency throughout the zoom.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 exhibits superior stability and texture sharpness, while Video 2 has minor morphing issues during the zoom.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Impact (Cosmic Spectacle)", "reason_1": "Video 1 is visually pleasant but lacks the 'spectacle' factor; it looks like a standard nature shot.", "reason_2": "Video 2 delivers a high-impact visual with vibrant colors and a surreal aesthetic that matches the 'cosmic spectacle' description.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression (The Reveal)", "reason_1": "Video 1 is static in its narrative; nothing changes or is revealed.", "reason_2": "Video 2 follows the narrative arc of the prompt: starting with the web and zooming in to reveal the hidden cosmic details.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are muted and realistic, which is nice but less aligned with the 'vibrant' descriptor in the prompt.", "reason_2": "Video 2 uses rich purples, blues, and golds to depict the nebulae, creating a more striking and prompt-aligned color palette.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the 'cosmic spectacle' and 'ethereal beauty' much better through its vibrant color palette and dramatic composition.", "cat_winner": "Video 2"}, {"name": "D. Surreal Concept Execution", "dims": [{"name": "Fantasy Element Realization", "reason_1": "Video 1 completely ignores the fantasy element of 'droplets as universes'.", "reason_2": "Video 2 fully realizes the fantasy element, making the droplets look like portals to the cosmos.", "score_1": 1, "score_2": 9}, {"name": "Atmospheric Mood (Ethereal/Portal)", "reason_1": "The mood is calm and natural, missing the 'ethereal' and 'portal' vibe.", "reason_2": "The combination of the zoom and the glowing internal galaxies creates a strong 'portal' atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Creative Interpretation", "reason_1": "Video 1 takes a very safe, literal approach to the web and background but fails the creative synthesis.", "reason_2": "Video 2 creatively synthesizes the macro world (web) with the micro world (galaxies) effectively.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category evaluates the specific fantasy requirement. Video 2 succeeds in creating the 'portal' effect, while Video 1 fails.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully executes the prompt's central surreal concept: the 'miniature universes' inside the droplets. While Video 1 provides a high-quality, realistic image of a web against a starry background, it fails to integrate the galaxies *within* the droplets as requested. Video 2 delivers the requested zoom, the vibrant cosmic colors inside the dew, and the 'portal' aesthetic, fulfilling the narrative and creative demands of the prompt far better.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 44.0, "total_score_2": 76.0, "elapsed_sec": 73.799} +{"pair_id": "078_seed_42", "sample_index": 78, "seed": 42, "prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_42_A sprawling Martian cityscape unfolds under a crim.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_42_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_42_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_42_A sprawling Martian cityscape unfolds under a crim.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Specificity (Holographic Advertisements)\", \"reason_1\": \"Video 1 displays generic, static, and blurry posters on the building facade that lack the requested 'dynamic' and 'holographic' qualities.\", \"reason_2\": \"Video 2 features a prominent building with bright, shifting neon screens that clearly represent the requested 'dynamic holographic advertisements' and 'futuristic imagery'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Martian Cityscape)\", \"reason_1\": \"Video 1 captures the crimson sky but the cityscape feels sparse and lacks the 'bustling' density implied by the prompt.\", \"reason_2\": \"Video 2 depicts a denser, more complex urban environment with a rich crimson atmosphere that feels more like a 'sprawling metropolis'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Zoom & Emergence)\", \"reason_1\": \"The camera movement in Video 1 is a simple forward track that lacks the dramatic 'zoom in' effect to reveal the skyscraper.\", \"reason_2\": \"Video 2 executes a distinct zoom that effectively transitions from the wider city view to the close-up details of the skyscraper's facade.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately captures the specific details of the prompt, particularly the 'dynamic holographic advertisements' and the 'colossal skyscraper' emerging via a zoom. Video 1 fails to render the advertisements as holographic or dynamic, presenting them as static, low-resolution textures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is heavily blurred, with low resolution and muddy textures that obscure details.\", \"reason_2\": \"The video is sharp and crisp, with clear definition in the neon lights, building structures, and background elements.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Reflection Physics\", \"reason_1\": \"Lighting is flat and dull; the requested 'vibrant reflections' on metallic surfaces are largely absent.\", \"reason_2\": \"The video successfully renders the 'kaleidoscope of colors' reflecting off the building's glassy exterior, creating a realistic interaction between light and surface.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Object Stability (Vehicles)\", \"reason_1\": \"The flying cars are somewhat amorphous and lack distinct structural integrity.\", \"reason_2\": \"While there is some motion blur, the vehicles and buildings maintain better structural coherence throughout the zoom.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates significantly higher resolution, sharper textures, and better lighting physics. Video 1 suffers from severe blurriness and lack of definition.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cyberpunk Aesthetic & Color Palette\", \"reason_1\": \"The color palette is muted and lacks the 'neon-lit' vibrancy requested.\", \"reason_2\": \"The video utilizes a strong contrast between the crimson sky and the electric blue/purple neon lights, perfectly nailing the 'mesmerizing blend of technology and architecture'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition (The Reveal)\", \"reason_1\": \"The framing is functional but uninspired, failing to highlight the grandeur of the skyscraper.\", \"reason_2\": \"The composition effectively uses the zoom to center the viewer's attention on the detailed facade, creating a sense of scale and awe.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The low fidelity and lack of detail make the video visually unengaging.\", \"reason_2\": \"The vibrant colors, sharp details, and dynamic lighting make for a visually striking and professional-looking clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'mesmerizing' and 'futuristic' aesthetic much better through superior color grading and composition. The zoom creates a stronger narrative reveal.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully renders the complex visual elements requested in the prompt, specifically the 'dynamic holographic advertisements' and the 'glassy exterior' with vibrant reflections. Video 1 suffers from low resolution, muddy textures, and fails to depict the advertisements as dynamic or holographic, resulting in a generic and blurry output compared to the sharp, neon-lit aesthetic of Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Specificity (Holographic Advertisements)", "reason_1": "Video 1 displays generic, static, and blurry posters on the building facade that lack the requested 'dynamic' and 'holographic' qualities.", "reason_2": "Video 2 features a prominent building with bright, shifting neon screens that clearly represent the requested 'dynamic holographic advertisements' and 'futuristic imagery'.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Martian Cityscape)", "reason_1": "Video 1 captures the crimson sky but the cityscape feels sparse and lacks the 'bustling' density implied by the prompt.", "reason_2": "Video 2 depicts a denser, more complex urban environment with a rich crimson atmosphere that feels more like a 'sprawling metropolis'.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Zoom & Emergence)", "reason_1": "The camera movement in Video 1 is a simple forward track that lacks the dramatic 'zoom in' effect to reveal the skyscraper.", "reason_2": "Video 2 executes a distinct zoom that effectively transitions from the wider city view to the close-up details of the skyscraper's facade.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately captures the specific details of the prompt, particularly the 'dynamic holographic advertisements' and the 'colossal skyscraper' emerging via a zoom. Video 1 fails to render the advertisements as holographic or dynamic, presenting them as static, low-resolution textures.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is heavily blurred, with low resolution and muddy textures that obscure details.", "reason_2": "The video is sharp and crisp, with clear definition in the neon lights, building structures, and background elements.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Reflection Physics", "reason_1": "Lighting is flat and dull; the requested 'vibrant reflections' on metallic surfaces are largely absent.", "reason_2": "The video successfully renders the 'kaleidoscope of colors' reflecting off the building's glassy exterior, creating a realistic interaction between light and surface.", "score_1": 3, "score_2": 7}, {"name": "Object Stability (Vehicles)", "reason_1": "The flying cars are somewhat amorphous and lack distinct structural integrity.", "reason_2": "While there is some motion blur, the vehicles and buildings maintain better structural coherence throughout the zoom.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates significantly higher resolution, sharper textures, and better lighting physics. Video 1 suffers from severe blurriness and lack of definition.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cyberpunk Aesthetic & Color Palette", "reason_1": "The color palette is muted and lacks the 'neon-lit' vibrancy requested.", "reason_2": "The video utilizes a strong contrast between the crimson sky and the electric blue/purple neon lights, perfectly nailing the 'mesmerizing blend of technology and architecture'.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition (The Reveal)", "reason_1": "The framing is functional but uninspired, failing to highlight the grandeur of the skyscraper.", "reason_2": "The composition effectively uses the zoom to center the viewer's attention on the detailed facade, creating a sense of scale and awe.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The low fidelity and lack of detail make the video visually unengaging.", "reason_2": "The vibrant colors, sharp details, and dynamic lighting make for a visually striking and professional-looking clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'mesmerizing' and 'futuristic' aesthetic much better through superior color grading and composition. The zoom creates a stronger narrative reveal.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully renders the complex visual elements requested in the prompt, specifically the 'dynamic holographic advertisements' and the 'glassy exterior' with vibrant reflections. Video 1 suffers from low resolution, muddy textures, and fails to depict the advertisements as dynamic or holographic, resulting in a generic and blurry output compared to the sharp, neon-lit aesthetic of Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 58.477} +{"pair_id": "080_seed_930", "sample_index": 80, "seed": 930, "prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_080_seed_930_A mesmerizing flame wisp glowing with ethereal lig.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Fidelity (Flame Wisp vs. Stream)\", \"reason_1\": \"Video 1 generates a massive, continuous stream of fire that resembles a dragon's breath or a hose, completely missing the 'wisp' descriptor.\", \"reason_2\": \"Video 2 correctly generates a smaller, darting entity that behaves like a wisp, maintaining the correct scale relative to the environment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Stalls & Goods)\", \"reason_1\": \"The market stalls in Video 1 are vague, blurry shapes with little discernible detail regarding 'exotic goods' or 'fabrics'.\", \"reason_2\": \"Video 2 renders distinct textures for the fabrics, baskets, and goods on the stalls, aligning well with the 'brimming with exotic goods' requirement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Behavior (Follow & Weave)\", \"reason_1\": \"The camera in Video 1 is largely static or pans slowly, failing to 'follow' the swift movement of the fire.\", \"reason_2\": \"Video 2 executes a tracking shot that follows the wisp's path through the market, creating the requested sense of movement and weaving.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately depicts a 'wisp' and follows the camera instructions, whereas Video 1 generates a massive, static-looking fire stream and fails to track the subject.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is heavily blurred with low resolution; textures are muddy and indistinct.\", \"reason_2\": \"The video is sharp, with clear definition in the foreground objects and the flame effect itself.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting Interaction (Reflections & Glow)\", \"reason_1\": \"The light from the fire is a flat, overexposed white blob that washes out the scene without realistic reflection.\", \"reason_2\": \"The wisp casts a dynamic glow that interacts with the surrounding geometry, creating the requested 'dance of light and shadow'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The fire stream is consistent in its shape, though the shape itself is incorrect (too large).\", \"reason_2\": \"While sharper, the wisp in Video 2 suffers from some temporal flickering and shape-shifting artifacts as it moves.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 offers significantly higher resolution, sharper textures, and better lighting interaction compared to the blurry and washed-out look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Magical vs. Chaotic)\", \"reason_1\": \"The massive fire stream creates a chaotic, almost destructive atmosphere rather than an 'enchanting' one.\", \"reason_2\": \"The lighting and pacing create a mystical, fairytale-like atmosphere that fits the 'mesmerizing' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The composition is flat and cluttered, with the fire obscuring the depth of the market.\", \"reason_2\": \"The shot has good depth of field, leading the eye through the market stalls along the path of the wisp.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Fantasy Creature Integration\", \"reason_1\": \"The creatures are present but appear as indistinct, blurry shapes in the background.\", \"reason_2\": \"The creatures (e.g., the figure on the left) are more distinct and integrated into the lighting of the scene.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully captures the 'enchanting' and 'magical' mood through better composition and lighting, whereas Video 1 feels chaotic and visually confusing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it correctly interprets the core subject as a 'wisp' and executes the requested camera movement (following the subject). Video 1 fails semantically by generating a massive, continuous stream of fire rather than a wisp, and lacks the dynamic camera tracking required by the prompt. Video 2 also demonstrates superior visual fidelity, texture detail, and lighting effects.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A mesmerizing flame wisp, glowing with ethereal light, darts through a bustling fantasy market under the starry night sky. The camera follows its swift, graceful movements, illuminating vibrant stalls brimming with exotic goods, colorful fabrics, and mystical artifacts. The market is alive with fantastical creatures and lively merchants, their animated conversations and laughter filling the air. Lanterns cast a warm, golden glow, enhancing the magical atmosphere. The flame wisp weaves through the crowd, its fiery trail reflecting off shimmering surfaces, creating a captivating dance of light and shadow in this enchanting, otherworldly marketplace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Fidelity (Flame Wisp vs. Stream)", "reason_1": "Video 1 generates a massive, continuous stream of fire that resembles a dragon's breath or a hose, completely missing the 'wisp' descriptor.", "reason_2": "Video 2 correctly generates a smaller, darting entity that behaves like a wisp, maintaining the correct scale relative to the environment.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Stalls & Goods)", "reason_1": "The market stalls in Video 1 are vague, blurry shapes with little discernible detail regarding 'exotic goods' or 'fabrics'.", "reason_2": "Video 2 renders distinct textures for the fabrics, baskets, and goods on the stalls, aligning well with the 'brimming with exotic goods' requirement.", "score_1": 3, "score_2": 7}, {"name": "Camera Behavior (Follow & Weave)", "reason_1": "The camera in Video 1 is largely static or pans slowly, failing to 'follow' the swift movement of the fire.", "reason_2": "Video 2 executes a tracking shot that follows the wisp's path through the market, creating the requested sense of movement and weaving.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately depicts a 'wisp' and follows the camera instructions, whereas Video 1 generates a massive, static-looking fire stream and fails to track the subject.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is heavily blurred with low resolution; textures are muddy and indistinct.", "reason_2": "The video is sharp, with clear definition in the foreground objects and the flame effect itself.", "score_1": 2, "score_2": 8}, {"name": "Lighting Interaction (Reflections & Glow)", "reason_1": "The light from the fire is a flat, overexposed white blob that washes out the scene without realistic reflection.", "reason_2": "The wisp casts a dynamic glow that interacts with the surrounding geometry, creating the requested 'dance of light and shadow'.", "score_1": 3, "score_2": 7}, {"name": "Subject Morphological Stability", "reason_1": "The fire stream is consistent in its shape, though the shape itself is incorrect (too large).", "reason_2": "While sharper, the wisp in Video 2 suffers from some temporal flickering and shape-shifting artifacts as it moves.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 offers significantly higher resolution, sharper textures, and better lighting interaction compared to the blurry and washed-out look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Magical vs. Chaotic)", "reason_1": "The massive fire stream creates a chaotic, almost destructive atmosphere rather than an 'enchanting' one.", "reason_2": "The lighting and pacing create a mystical, fairytale-like atmosphere that fits the 'mesmerizing' description.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition & Depth", "reason_1": "The composition is flat and cluttered, with the fire obscuring the depth of the market.", "reason_2": "The shot has good depth of field, leading the eye through the market stalls along the path of the wisp.", "score_1": 3, "score_2": 7}, {"name": "Fantasy Creature Integration", "reason_1": "The creatures are present but appear as indistinct, blurry shapes in the background.", "reason_2": "The creatures (e.g., the figure on the left) are more distinct and integrated into the lighting of the scene.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully captures the 'enchanting' and 'magical' mood through better composition and lighting, whereas Video 1 feels chaotic and visually confusing.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it correctly interprets the core subject as a 'wisp' and executes the requested camera movement (following the subject). Video 1 fails semantically by generating a massive, continuous stream of fire rather than a wisp, and lacks the dynamic camera tracking required by the prompt. Video 2 also demonstrates superior visual fidelity, texture detail, and lighting effects.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 59.878} +{"pair_id": "083_seed_310", "sample_index": 83, "seed": 310, "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_310_The camera captures the ethereal northern lights s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_310_The camera captures the ethereal northern lights s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_310_The camera captures the ethereal northern lights s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_310_The camera captures the ethereal northern lights s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Aurora Color Palette (Green, Purple, Blue)\", \"reason_1\": \"Video 1 is almost entirely monochromatic green, missing the requested purple and blue hues.\", \"reason_2\": \"Video 2 successfully integrates the requested green, purple, and blue hues into the aurora display.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Reflection (Mirror-like Lake)\", \"reason_1\": \"Video 1 features a frozen foreground, but the reflection is dull and lacks the 'mirror-like' quality requested.\", \"reason_2\": \"Video 2 renders a distinct, vibrant reflection of the aurora on the ice, aligning well with the 'mirror-like effect' description.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Celestial Detail (Stars like Diamonds)\", \"reason_1\": \"Video 1 renders distinct, sharp points of light that resemble the 'scattered diamonds' description.\", \"reason_2\": \"Video 2's stars are somewhat washed out and obscured by the brightness of the aurora, lacking the distinct 'diamond' clarity.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Landscape Elements (Mountains & Snow)\", \"reason_1\": \"Video 1 accurately depicts the rugged mountains and snow-blanketed landscape.\", \"reason_2\": \"Video 2 also accurately depicts the mountains and snow, with perhaps slightly more depth in the foreground.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the specific color palette and environmental interaction (reflection) requested in the prompt much better than Video 1, which misses the purple/blue hues and the mirror-like quality of the lake.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high contrast and well-defined edges on the mountains and stars.\", \"reason_2\": \"The video appears softer and slightly blurry, lacking the crisp definition seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness (Graceful Swirl)\", \"reason_1\": \"The movement of the aurora is fluid and graceful, matching the 'ballet' description.\", \"reason_2\": \"The motion is smooth and consistent, effectively conveying the swirling nature of the lights.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Lighting & Contrast Balance\", \"reason_1\": \"Video 1 maintains a realistic night-time contrast, keeping the sky dark enough for the stars to pop.\", \"reason_2\": \"Video 2 is somewhat over-exposed/bright, reducing the dynamic range and making the scene look less realistic.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior technical execution with sharper details, better contrast, and a cleaner image, whereas Video 2 suffers from a softer, slightly blurry presentation.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Serene & Magical)\", \"reason_1\": \"The darker, crisp atmosphere effectively conveys the 'crisp and silent' and 'magical' feeling of the Arctic.\", \"reason_2\": \"The brightness of the scene detracts slightly from the 'crisp' and 'silent' mood, feeling more like a bright fantasy render.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition and clarity make for a more visually striking and professional-looking clip.\", \"reason_2\": \"While colorful, the lack of sharpness reduces the overall aesthetic impact compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Standard landscape framing that works well for the subject.\", \"reason_2\": \"Similar framing that effectively balances the sky and the foreground lake.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 creates a more convincing 'serene' and 'crisp' atmosphere through its high-quality rendering, whereas Video 2's softer look feels less immersive.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the overall winner due to its superior visual fidelity, sharpness, and realistic night-time contrast. While Video 2 adheres more strictly to the specific color palette (purple/blue) and reflection requirements, Video 1 delivers a much higher quality image with distinct stars and a 'crisper' atmosphere that better matches the prompt's descriptive tone.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Aurora Color Palette (Green, Purple, Blue)", "reason_1": "Video 1 is almost entirely monochromatic green, missing the requested purple and blue hues.", "reason_2": "Video 2 successfully integrates the requested green, purple, and blue hues into the aurora display.", "score_1": 3, "score_2": 7}, {"name": "Environmental Reflection (Mirror-like Lake)", "reason_1": "Video 1 features a frozen foreground, but the reflection is dull and lacks the 'mirror-like' quality requested.", "reason_2": "Video 2 renders a distinct, vibrant reflection of the aurora on the ice, aligning well with the 'mirror-like effect' description.", "score_1": 4, "score_2": 6}, {"name": "Celestial Detail (Stars like Diamonds)", "reason_1": "Video 1 renders distinct, sharp points of light that resemble the 'scattered diamonds' description.", "reason_2": "Video 2's stars are somewhat washed out and obscured by the brightness of the aurora, lacking the distinct 'diamond' clarity.", "score_1": 7, "score_2": 3}, {"name": "Landscape Elements (Mountains & Snow)", "reason_1": "Video 1 accurately depicts the rugged mountains and snow-blanketed landscape.", "reason_2": "Video 2 also accurately depicts the mountains and snow, with perhaps slightly more depth in the foreground.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the specific color palette and environmental interaction (reflection) requested in the prompt much better than Video 1, which misses the purple/blue hues and the mirror-like quality of the lake.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high contrast and well-defined edges on the mountains and stars.", "reason_2": "The video appears softer and slightly blurry, lacking the crisp definition seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness (Graceful Swirl)", "reason_1": "The movement of the aurora is fluid and graceful, matching the 'ballet' description.", "reason_2": "The motion is smooth and consistent, effectively conveying the swirling nature of the lights.", "score_1": 5, "score_2": 5}, {"name": "Lighting & Contrast Balance", "reason_1": "Video 1 maintains a realistic night-time contrast, keeping the sky dark enough for the stars to pop.", "reason_2": "Video 2 is somewhat over-exposed/bright, reducing the dynamic range and making the scene look less realistic.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior technical execution with sharper details, better contrast, and a cleaner image, whereas Video 2 suffers from a softer, slightly blurry presentation.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Serene & Magical)", "reason_1": "The darker, crisp atmosphere effectively conveys the 'crisp and silent' and 'magical' feeling of the Arctic.", "reason_2": "The brightness of the scene detracts slightly from the 'crisp' and 'silent' mood, feeling more like a bright fantasy render.", "score_1": 6, "score_2": 4}, {"name": "Overall Visual Appeal", "reason_1": "The composition and clarity make for a more visually striking and professional-looking clip.", "reason_2": "While colorful, the lack of sharpness reduces the overall aesthetic impact compared to Video 1.", "score_1": 6, "score_2": 4}, {"name": "Composition & Framing", "reason_1": "Standard landscape framing that works well for the subject.", "reason_2": "Similar framing that effectively balances the sky and the foreground lake.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 creates a more convincing 'serene' and 'crisp' atmosphere through its high-quality rendering, whereas Video 2's softer look feels less immersive.", "cat_winner": "Video 1"}], "reason": "Video 1 is the overall winner due to its superior visual fidelity, sharpness, and realistic night-time contrast. While Video 2 adheres more strictly to the specific color palette (purple/blue) and reflection requirements, Video 1 delivers a much higher quality image with distinct stars and a 'crisper' atmosphere that better matches the prompt's descriptive tone.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 56.0, "total_score_2": 44.0, "elapsed_sec": 60.168} +{"pair_id": "086_seed_42", "sample_index": 86, "seed": 42, "prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_42_A young woman with flowing hair sits gracefully at.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Compliance (Rotation)\", \"reason_1\": \"Video 1 is essentially a static shot with negligible camera movement, completely failing the explicit instruction to 'rotate around her'.\", \"reason_2\": \"Video 2 executes a clear and continuous orbital camera movement around the subject, perfectly matching the prompt's requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject & Object Presence\", \"reason_1\": \"Video 1 correctly includes the woman, the piano, the beach, and the seagulls.\", \"reason_2\": \"Video 2 also correctly includes all primary subjects: the woman, the piano, the beach, and the seagulls.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Dress & Hair)\", \"reason_1\": \"Video 1 renders the white lace dress and flowing hair accurately.\", \"reason_2\": \"Video 2 renders the white lace dress and flowing hair accurately, with the dress details remaining visible during the rotation.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 followed the critical camera movement instruction which Video 1 ignored, while both videos successfully included the required subjects and environmental elements.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Structural Integrity (Piano)\", \"reason_1\": \"The piano in Video 1 maintains a solid, logical shape throughout the clip.\", \"reason_2\": \"The piano in Video 2 suffers from severe morphing; the lid and keys distort and shift shape unnaturally as the camera rotates.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent and stable.\", \"reason_2\": \"The subject's face undergoes slight morphing and distortion as the angle changes, losing some identity consistency.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Physics (Wind & Water)\", \"reason_1\": \"The wind effect on the hair is present but feels slightly stiff.\", \"reason_2\": \"Video 2 captures the 'gentle breeze rustling her hair' more dynamically and realistically.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 is technically more stable. Video 2 suffers from noticeable morphing and distortion of the piano structure and the subject's face during the camera movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Dynamism\", \"reason_1\": \"The lack of camera movement makes the shot feel flat and less engaging.\", \"reason_2\": \"The orbital shot adds significant cinematic value and depth, making the scene feel more immersive and professional.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Whimsical/Serene)\", \"reason_1\": \"Successfully captures the golden hour lighting and serene mood.\", \"reason_2\": \"Successfully captures the golden hour lighting and serene mood, enhanced by the movement.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Compositional Flow\", \"reason_1\": \"The composition is static and standard.\", \"reason_2\": \"The changing composition due to the rotation creates a more dynamic and visually interesting narrative flow.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a much more cinematic and engaging experience due to the dynamic camera work, which aligns with the 'enchanting' and 'whimsical' tone requested.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily because it successfully executes the specific camera movement instruction ('camera begins to rotate around her'), creating a dynamic and cinematic shot. Video 1, while visually stable, remains largely static and fails to perform the requested rotation. Although Video 2 exhibits some structural instability in the piano, its adherence to the complex motion prompt and superior atmospheric rendering make it the better generation.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Compliance (Rotation)", "reason_1": "Video 1 is essentially a static shot with negligible camera movement, completely failing the explicit instruction to 'rotate around her'.", "reason_2": "Video 2 executes a clear and continuous orbital camera movement around the subject, perfectly matching the prompt's requirement.", "score_1": 1, "score_2": 9}, {"name": "Subject & Object Presence", "reason_1": "Video 1 correctly includes the woman, the piano, the beach, and the seagulls.", "reason_2": "Video 2 also correctly includes all primary subjects: the woman, the piano, the beach, and the seagulls.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Dress & Hair)", "reason_1": "Video 1 renders the white lace dress and flowing hair accurately.", "reason_2": "Video 2 renders the white lace dress and flowing hair accurately, with the dress details remaining visible during the rotation.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 followed the critical camera movement instruction which Video 1 ignored, while both videos successfully included the required subjects and environmental elements.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Structural Integrity (Piano)", "reason_1": "The piano in Video 1 maintains a solid, logical shape throughout the clip.", "reason_2": "The piano in Video 2 suffers from severe morphing; the lid and keys distort and shift shape unnaturally as the camera rotates.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent and stable.", "reason_2": "The subject's face undergoes slight morphing and distortion as the angle changes, losing some identity consistency.", "score_1": 7, "score_2": 3}, {"name": "Environmental Physics (Wind & Water)", "reason_1": "The wind effect on the hair is present but feels slightly stiff.", "reason_2": "Video 2 captures the 'gentle breeze rustling her hair' more dynamically and realistically.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 is technically more stable. Video 2 suffers from noticeable morphing and distortion of the piano structure and the subject's face during the camera movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Dynamism", "reason_1": "The lack of camera movement makes the shot feel flat and less engaging.", "reason_2": "The orbital shot adds significant cinematic value and depth, making the scene feel more immersive and professional.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Whimsical/Serene)", "reason_1": "Successfully captures the golden hour lighting and serene mood.", "reason_2": "Successfully captures the golden hour lighting and serene mood, enhanced by the movement.", "score_1": 5, "score_2": 5}, {"name": "Compositional Flow", "reason_1": "The composition is static and standard.", "reason_2": "The changing composition due to the rotation creates a more dynamic and visually interesting narrative flow.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a much more cinematic and engaging experience due to the dynamic camera work, which aligns with the 'enchanting' and 'whimsical' tone requested.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily because it successfully executes the specific camera movement instruction ('camera begins to rotate around her'), creating a dynamic and cinematic shot. Video 1, while visually stable, remains largely static and fails to perform the requested rotation. Although Video 2 exhibits some structural instability in the piano, its adherence to the complex motion prompt and superior atmospheric rendering make it the better generation.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 40.0, "total_score_2": 50.0, "elapsed_sec": 53.254} +{"pair_id": "088_seed_930", "sample_index": 88, "seed": 930, "prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_088_seed_930_The camera zooms into a dandelion at hyperspeed re.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Surreal Transformation (Seeds to Islands)\", \"reason_1\": \"Video 1 failed to generate the requested transformation into floating islands or abstract structures, remaining a realistic dandelion.\", \"reason_2\": \"Video 2 also failed to generate the surreal transformation, sticking to a realistic representation of the flower.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 features standard daylight lighting, missing the specific 'gentle, golden glow' requested.\", \"reason_2\": \"Video 2 successfully captures the 'golden glow' and warm color palette described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Intricacy & Detail\", \"reason_1\": \"Video 1 renders the 'delicate seeds' with high precision and intricate detail, aligning with the prompt's focus on the subject's complexity.\", \"reason_2\": \"Video 2 lacks detail; the seeds appear blurry and undefined, failing to capture the 'intricate details' requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement (Hyperspeed Zoom)\", \"reason_1\": \"Video 1 has a slow, subtle push, failing the 'hyperspeed' instruction.\", \"reason_2\": \"Video 2 has a slight drift, also failing the 'hyperspeed' instruction.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"While both models completely ignored the surreal transformation instructions, Video 1 provided a much more accurate and detailed representation of the initial subject (the dandelion) compared to the blurry output of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is crisp, clear, and high-resolution, maintaining excellent focus on the subject.\", \"reason_2\": \"The video is soft, blurry, and lacks definition, appearing like a low-quality upscale.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Realism (Seed Filaments)\", \"reason_1\": \"The fine filaments of the dandelion seeds are rendered with photorealistic texture.\", \"reason_2\": \"The textures are muddy and indistinct, lacking the physical plausibility of real plant matter.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability\", \"reason_1\": \"The subject remains solid and consistent throughout the clip.\", \"reason_2\": \"The subject exhibits slight shimmering and lack of structural consistency due to the low resolution.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade visual quality with sharp focus and realistic textures, whereas Video 2 suffers from significant blurriness and lack of definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The image is aesthetically pleasing, resembling high-quality nature photography.\", \"reason_2\": \"The visual appeal is low due to the blurriness and lack of contrast.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Mood & Atmosphere\", \"reason_1\": \"The mood is neutral and realistic, missing the 'dreamlike' quality.\", \"reason_2\": \"The warm lighting creates a mood that is closer to the 'dreamlike' and 'tranquil' atmosphere requested, despite the poor quality.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is well-centered and framed effectively.\", \"reason_2\": \"The framing is acceptable but the lack of depth of field makes the composition feel flat.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 presents a visually pleasing, professional macro shot. Video 2 attempts the correct mood but fails in execution due to poor image quality.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Both videos failed significantly to execute the complex narrative instructions (hyperspeed zoom, transformation into floating islands, abstract world). However, Video 1 is the clear winner based on superior visual fidelity. It presents a sharp, photorealistic, and highly detailed macro shot of a dandelion, whereas Video 2 is blurry, lacks texture definition, and suffers from lower resolution.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera zooms into a dandelion at hyperspeed, revealing an ethereal, abstract world within its delicate seeds. As the perspective shifts, the seeds transform into floating islands, each adorned with shimmering, translucent structures that pulse with soft, ambient light. Tiny, luminescent particles drift gracefully through the air, creating a mesmerizing dance of light and shadow. The scene is bathed in a gentle, golden glow, casting a dreamlike atmosphere over the surreal landscape. The intricate details of the dandelion's inner world unfold, revealing a hidden universe of wonder and tranquility, where time seems to slow and the boundaries of reality blur.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Surreal Transformation (Seeds to Islands)", "reason_1": "Video 1 failed to generate the requested transformation into floating islands or abstract structures, remaining a realistic dandelion.", "reason_2": "Video 2 also failed to generate the surreal transformation, sticking to a realistic representation of the flower.", "score_1": 5, "score_2": 5}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 features standard daylight lighting, missing the specific 'gentle, golden glow' requested.", "reason_2": "Video 2 successfully captures the 'golden glow' and warm color palette described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Subject Intricacy & Detail", "reason_1": "Video 1 renders the 'delicate seeds' with high precision and intricate detail, aligning with the prompt's focus on the subject's complexity.", "reason_2": "Video 2 lacks detail; the seeds appear blurry and undefined, failing to capture the 'intricate details' requested.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement (Hyperspeed Zoom)", "reason_1": "Video 1 has a slow, subtle push, failing the 'hyperspeed' instruction.", "reason_2": "Video 2 has a slight drift, also failing the 'hyperspeed' instruction.", "score_1": 5, "score_2": 5}], "cat_reason": "While both models completely ignored the surreal transformation instructions, Video 1 provided a much more accurate and detailed representation of the initial subject (the dandelion) compared to the blurry output of Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is crisp, clear, and high-resolution, maintaining excellent focus on the subject.", "reason_2": "The video is soft, blurry, and lacks definition, appearing like a low-quality upscale.", "score_1": 9, "score_2": 1}, {"name": "Texture Realism (Seed Filaments)", "reason_1": "The fine filaments of the dandelion seeds are rendered with photorealistic texture.", "reason_2": "The textures are muddy and indistinct, lacking the physical plausibility of real plant matter.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability", "reason_1": "The subject remains solid and consistent throughout the clip.", "reason_2": "The subject exhibits slight shimmering and lack of structural consistency due to the low resolution.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade visual quality with sharp focus and realistic textures, whereas Video 2 suffers from significant blurriness and lack of definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The image is aesthetically pleasing, resembling high-quality nature photography.", "reason_2": "The visual appeal is low due to the blurriness and lack of contrast.", "score_1": 8, "score_2": 2}, {"name": "Mood & Atmosphere", "reason_1": "The mood is neutral and realistic, missing the 'dreamlike' quality.", "reason_2": "The warm lighting creates a mood that is closer to the 'dreamlike' and 'tranquil' atmosphere requested, despite the poor quality.", "score_1": 4, "score_2": 6}, {"name": "Composition & Framing", "reason_1": "The subject is well-centered and framed effectively.", "reason_2": "The framing is acceptable but the lack of depth of field makes the composition feel flat.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 presents a visually pleasing, professional macro shot. Video 2 attempts the correct mood but fails in execution due to poor image quality.", "cat_winner": "Video 1"}], "reason": "Both videos failed significantly to execute the complex narrative instructions (hyperspeed zoom, transformation into floating islands, abstract world). However, Video 1 is the clear winner based on superior visual fidelity. It presents a sharp, photorealistic, and highly detailed macro shot of a dandelion, whereas Video 2 is blurry, lacks texture definition, and suffers from lower resolution.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 34.0, "elapsed_sec": 59.566} +{"pair_id": "091_seed_310", "sample_index": 91, "seed": 310, "prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_310_A thrilling first-person perspective races through.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_310_A thrilling first-person perspective races through.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_310_A thrilling first-person perspective races through.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_310_A thrilling first-person perspective races through.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Transition (Physical to Digital)\", \"reason_1\": \"Video 1 completely fails to execute the transition; it remains a static street scene throughout the entire duration.\", \"reason_2\": \"Video 2 executes a clear, dramatic transition where the physical environment dissolves into a swirling tunnel of light and data, matching the prompt's core narrative arc.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Cyberpunk City)\", \"reason_1\": \"Video 1 depicts a recognizable, detailed cyberpunk city with distinct buildings and signage.\", \"reason_2\": \"Video 2's city environment is heavily distorted and abstract, making the 'skyscrapers' and 'crowds' difficult to distinguish.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Thrilling Race)\", \"reason_1\": \"Video 1 shows a standard driving speed, lacking the 'thrilling' and 'racing' intensity requested.\", \"reason_2\": \"Video 2 conveys a high-velocity sensation of rushing forward, aligning better with the 'thrilling race' description.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 follows the prompt's narrative progression, specifically the transition into a digital realm, whereas Video 1 ignores this instruction entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 maintains high resolution and sharp details on the buildings and lights.\", \"reason_2\": \"Video 2 is extremely blurry and lacks definition, appearing more like a low-resolution smear.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects in Video 1 maintain their shape and structure consistently.\", \"reason_2\": \"Video 2 suffers from severe warping and hallucination, where the environment loses all structural integrity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera movement in Video 1 is smooth and fluid.\", \"reason_2\": \"Video 2's motion is jerky and chaotic, contributing to a lower quality feel.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is technically superior, offering a sharp, stable, and coherent image, whereas Video 2 suffers from significant blur and distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Sensation of Speed & Urgency\", \"reason_1\": \"Video 1 feels like a leisurely cruise, failing to evoke 'urgency' or 'exhilaration'.\", \"reason_2\": \"Video 2 effectively uses motion blur and rapid forward movement to create the requested 'exhilarating sensation of speed'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Dynamic Blur Effects\", \"reason_1\": \"Video 1 uses minimal blur, resulting in a static look.\", \"reason_2\": \"Video 2 utilizes heavy dynamic blur as a stylistic choice to accentuate the transition, as requested by the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Immersive Impact\", \"reason_1\": \"Video 1 is visually pleasing but lacks the immersive 'rush' described.\", \"reason_2\": \"Despite the low quality, Video 2 pulls the viewer into the 'digital realm' effectively through its aggressive visual style.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the intended mood and energy of the prompt, creating an immersive experience that Video 1 lacks.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Special Effects & Stylistic Interpretation\", \"dims\": [{\"name\": \"Digital Realm Visualization\", \"reason_1\": \"Video 1 contains no representation of a digital realm or code streams.\", \"reason_2\": \"Video 2 creates a tunnel of swirling light and abstract shapes that successfully represents the 'digital realm' and 'tapestry of light'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Atmospheric Intensity\", \"reason_1\": \"The atmosphere in Video 1 is calm and standard.\", \"reason_2\": \"Video 2 creates a chaotic, high-energy atmosphere that fits the 'thrilling' descriptor.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Prompt-Specific Stylization\", \"reason_1\": \"Video 1 ignores the specific stylistic instructions regarding the transition and blur.\", \"reason_2\": \"Video 2 prioritizes the specific stylistic requests (blur, transition, speed) over general realism.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This category evaluates the specific 'digital realm' and 'code streams' requirements. Video 2 attempts this; Video 1 does not.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully attempts the critical narrative arc required by the prompt: the transition from a physical city into a digital realm. While Video 1 offers superior visual fidelity and stability, it completely fails to execute the 'transition' and 'digital realm' instructions, remaining a static driving shot throughout. Video 2 captures the requested 'thrilling' speed, 'dynamic blur', and the specific visual shift into a data-like tunnel, fulfilling the prompt's core creative intent despite lower technical resolution.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Transition (Physical to Digital)", "reason_1": "Video 1 completely fails to execute the transition; it remains a static street scene throughout the entire duration.", "reason_2": "Video 2 executes a clear, dramatic transition where the physical environment dissolves into a swirling tunnel of light and data, matching the prompt's core narrative arc.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Cyberpunk City)", "reason_1": "Video 1 depicts a recognizable, detailed cyberpunk city with distinct buildings and signage.", "reason_2": "Video 2's city environment is heavily distorted and abstract, making the 'skyscrapers' and 'crowds' difficult to distinguish.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Thrilling Race)", "reason_1": "Video 1 shows a standard driving speed, lacking the 'thrilling' and 'racing' intensity requested.", "reason_2": "Video 2 conveys a high-velocity sensation of rushing forward, aligning better with the 'thrilling race' description.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 follows the prompt's narrative progression, specifically the transition into a digital realm, whereas Video 1 ignores this instruction entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 maintains high resolution and sharp details on the buildings and lights.", "reason_2": "Video 2 is extremely blurry and lacks definition, appearing more like a low-resolution smear.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Objects in Video 1 maintain their shape and structure consistently.", "reason_2": "Video 2 suffers from severe warping and hallucination, where the environment loses all structural integrity.", "score_1": 9, "score_2": 1}, {"name": "Motion Smoothness", "reason_1": "The camera movement in Video 1 is smooth and fluid.", "reason_2": "Video 2's motion is jerky and chaotic, contributing to a lower quality feel.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is technically superior, offering a sharp, stable, and coherent image, whereas Video 2 suffers from significant blur and distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Sensation of Speed & Urgency", "reason_1": "Video 1 feels like a leisurely cruise, failing to evoke 'urgency' or 'exhilaration'.", "reason_2": "Video 2 effectively uses motion blur and rapid forward movement to create the requested 'exhilarating sensation of speed'.", "score_1": 2, "score_2": 8}, {"name": "Dynamic Blur Effects", "reason_1": "Video 1 uses minimal blur, resulting in a static look.", "reason_2": "Video 2 utilizes heavy dynamic blur as a stylistic choice to accentuate the transition, as requested by the prompt.", "score_1": 2, "score_2": 8}, {"name": "Immersive Impact", "reason_1": "Video 1 is visually pleasing but lacks the immersive 'rush' described.", "reason_2": "Despite the low quality, Video 2 pulls the viewer into the 'digital realm' effectively through its aggressive visual style.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the intended mood and energy of the prompt, creating an immersive experience that Video 1 lacks.", "cat_winner": "Video 2"}, {"name": "D. Special Effects & Stylistic Interpretation", "dims": [{"name": "Digital Realm Visualization", "reason_1": "Video 1 contains no representation of a digital realm or code streams.", "reason_2": "Video 2 creates a tunnel of swirling light and abstract shapes that successfully represents the 'digital realm' and 'tapestry of light'.", "score_1": 1, "score_2": 9}, {"name": "Atmospheric Intensity", "reason_1": "The atmosphere in Video 1 is calm and standard.", "reason_2": "Video 2 creates a chaotic, high-energy atmosphere that fits the 'thrilling' descriptor.", "score_1": 3, "score_2": 7}, {"name": "Prompt-Specific Stylization", "reason_1": "Video 1 ignores the specific stylistic instructions regarding the transition and blur.", "reason_2": "Video 2 prioritizes the specific stylistic requests (blur, transition, speed) over general realism.", "score_1": 2, "score_2": 8}], "cat_reason": "This category evaluates the specific 'digital realm' and 'code streams' requirements. Video 2 attempts this; Video 1 does not.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully attempts the critical narrative arc required by the prompt: the transition from a physical city into a digital realm. While Video 1 offers superior visual fidelity and stability, it completely fails to execute the 'transition' and 'digital realm' instructions, remaining a static driving shot throughout. Video 2 captures the requested 'thrilling' speed, 'dynamic blur', and the specific visual shift into a data-like tunnel, fulfilling the prompt's core creative intent despite lower technical resolution.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 52.0, "total_score_2": 68.0, "elapsed_sec": 69.745} +{"pair_id": "094_seed_42", "sample_index": 94, "seed": 42, "prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_42_In a mesmerizing macro view delicate water droplet.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Fidelity (Web & Droplets)\", \"reason_1\": \"Video 1 renders a realistic, intricate spider web with distinct, spherical water droplets that look physically accurate.\", \"reason_2\": \"Video 2 renders the web as a thick, glowing lattice and the 'droplets' as flat, heart-shaped blobs, failing to capture the 'delicate' nature of the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Concept Integration (Galaxies within Droplets)\", \"reason_1\": \"Video 1 interprets the prompt by placing the galaxy in the background behind the web, rather than strictly 'within' the droplets, but the visual result is coherent.\", \"reason_2\": \"Video 2 attempts to place a galaxy in the center, but the execution is messy and the galaxy appears disconnected from the web structure.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Atmospheric Lighting (Dim & Ethereal)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'mysterious' atmosphere with high contrast and deep blacks.\", \"reason_2\": \"Video 2 is washed out with a bright, flat purple hue that lacks the requested mystery and depth.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately depicts the 'delicate water droplets' and 'intricately woven web' with high fidelity. Video 2 fails to render realistic droplets, producing artificial heart-shaped blobs instead.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear definition between the web strands and the background stars.\", \"reason_2\": \"The video is blurry, low-resolution, and lacks fine detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The web structure remains solid and consistent throughout the zoom.\", \"reason_2\": \"The web strands and droplets warp and morph unnaturally as the camera moves.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera zoom is smooth and cinematic.\", \"reason_2\": \"The motion feels jittery and the frame rate appears inconsistent.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade resolution and stability. Video 2 suffers from blurriness, artifacts, and unstable geometry.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition is beautiful, evoking a sense of wonder and cosmic scale.\", \"reason_2\": \"The visual style is unappealing, resembling a low-quality filter or glitch art.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"Uses a sophisticated palette of deep blues, blacks, and starlight whites.\", \"reason_2\": \"Uses a monochromatic, oversaturated purple tint that flattens the image.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing centers the web effectively, using the zoom to draw the eye inward.\", \"reason_2\": \"The composition is cluttered and lacks a clear focal point due to the messy rendering.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a stunning, wallpaper-worthy visual that feels 'breathtaking' as requested. Video 2 lacks aesthetic appeal due to its poor color grading and artificial style.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Surreal Concept Execution\", \"dims\": [{\"name\": \"Macro-Universal Fusion\", \"reason_1\": \"Successfully blends the scale of a macro shot with the vastness of space, creating a believable 'cosmic canvas'.\", \"reason_2\": \"Fails to blend the scales; the galaxy looks like a sticker pasted on a low-res background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Ethereal Glow & Shimmer\", \"reason_1\": \"The light interacts realistically with the web strands, creating the requested 'glistening' effect.\", \"reason_2\": \"The glow is flat and uniform, lacking the dynamic 'shimmer' described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Interpretation of 'Cosmic Dance'\", \"reason_1\": \"While the galaxy is mostly static, the twinkling stars and subtle web movement imply a cosmic presence.\", \"reason_2\": \"The central galaxy spins, but the motion is jerky and lacks the elegance of a 'dance'.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"This personalized category evaluates the specific 'fusion of nature and universe' requested. Video 1 achieves a seamless blend, while Video 2 feels disjointed.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in visual fidelity, realism, and aesthetic beauty. It successfully renders a photorealistic spider web with convincing water droplets against a high-quality cosmic background, capturing the 'ethereal' and 'mesmerizing' mood perfectly. Video 2 suffers from low resolution, unnatural geometry (heart-shaped droplets), and a washed-out color palette that fails to convey the requested mystery or beauty.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Fidelity (Web & Droplets)", "reason_1": "Video 1 renders a realistic, intricate spider web with distinct, spherical water droplets that look physically accurate.", "reason_2": "Video 2 renders the web as a thick, glowing lattice and the 'droplets' as flat, heart-shaped blobs, failing to capture the 'delicate' nature of the prompt.", "score_1": 9, "score_2": 1}, {"name": "Concept Integration (Galaxies within Droplets)", "reason_1": "Video 1 interprets the prompt by placing the galaxy in the background behind the web, rather than strictly 'within' the droplets, but the visual result is coherent.", "reason_2": "Video 2 attempts to place a galaxy in the center, but the execution is messy and the galaxy appears disconnected from the web structure.", "score_1": 6, "score_2": 4}, {"name": "Atmospheric Lighting (Dim & Ethereal)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'mysterious' atmosphere with high contrast and deep blacks.", "reason_2": "Video 2 is washed out with a bright, flat purple hue that lacks the requested mystery and depth.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately depicts the 'delicate water droplets' and 'intricately woven web' with high fidelity. Video 2 fails to render realistic droplets, producing artificial heart-shaped blobs instead.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear definition between the web strands and the background stars.", "reason_2": "The video is blurry, low-resolution, and lacks fine detail.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "The web structure remains solid and consistent throughout the zoom.", "reason_2": "The web strands and droplets warp and morph unnaturally as the camera moves.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The camera zoom is smooth and cinematic.", "reason_2": "The motion feels jittery and the frame rate appears inconsistent.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade resolution and stability. Video 2 suffers from blurriness, artifacts, and unstable geometry.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The composition is beautiful, evoking a sense of wonder and cosmic scale.", "reason_2": "The visual style is unappealing, resembling a low-quality filter or glitch art.", "score_1": 9, "score_2": 1}, {"name": "Color Harmony & Grading", "reason_1": "Uses a sophisticated palette of deep blues, blacks, and starlight whites.", "reason_2": "Uses a monochromatic, oversaturated purple tint that flattens the image.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition", "reason_1": "The framing centers the web effectively, using the zoom to draw the eye inward.", "reason_2": "The composition is cluttered and lacks a clear focal point due to the messy rendering.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a stunning, wallpaper-worthy visual that feels 'breathtaking' as requested. Video 2 lacks aesthetic appeal due to its poor color grading and artificial style.", "cat_winner": "Video 1"}, {"name": "D. Surreal Concept Execution", "dims": [{"name": "Macro-Universal Fusion", "reason_1": "Successfully blends the scale of a macro shot with the vastness of space, creating a believable 'cosmic canvas'.", "reason_2": "Fails to blend the scales; the galaxy looks like a sticker pasted on a low-res background.", "score_1": 8, "score_2": 2}, {"name": "Ethereal Glow & Shimmer", "reason_1": "The light interacts realistically with the web strands, creating the requested 'glistening' effect.", "reason_2": "The glow is flat and uniform, lacking the dynamic 'shimmer' described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Interpretation of 'Cosmic Dance'", "reason_1": "While the galaxy is mostly static, the twinkling stars and subtle web movement imply a cosmic presence.", "reason_2": "The central galaxy spins, but the motion is jerky and lacks the elegance of a 'dance'.", "score_1": 6, "score_2": 4}], "cat_reason": "This personalized category evaluates the specific 'fusion of nature and universe' requested. Video 1 achieves a seamless blend, while Video 2 feels disjointed.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in visual fidelity, realism, and aesthetic beauty. It successfully renders a photorealistic spider web with convincing water droplets against a high-quality cosmic background, capturing the 'ethereal' and 'mesmerizing' mood perfectly. Video 2 suffers from low resolution, unnatural geometry (heart-shaped droplets), and a washed-out color palette that fails to convey the requested mystery or beauty.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 97.0, "total_score_2": 23.0, "elapsed_sec": 70.446} +{"pair_id": "096_seed_930", "sample_index": 96, "seed": 930, "prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_930_A mesmerizing dancer clad in a flowing crimson dre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_930_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_096_seed_930_A mesmerizing dancer clad in a flowing crimson dre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_096_seed_930_A mesmerizing dancer clad in a flowing crimson dre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Dress Color)\", \"reason_1\": \"Video 1 renders the dress in a bright magenta or hot pink, which deviates significantly from the requested 'crimson'.\", \"reason_2\": \"Video 2 correctly renders the dress in a deep crimson red, aligning perfectly with the prompt's specific color instruction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Lighting & Smoke)\", \"reason_1\": \"Video 1 features a very hazy, washed-out background where the lighting effects are less distinct and the smoke obscures the subject excessively.\", \"reason_2\": \"Video 2 successfully balances the 'dimly lit stage' with 'vibrant multicolored lights' and distinct 'wisps of smoke' that enhance rather than obscure the scene.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Specificity (Twirls & Gestures)\", \"reason_1\": \"Video 1 depicts the twirling action well, though the hand gestures are somewhat obscured by the dress volume.\", \"reason_2\": \"Video 2 also depicts the twirling action effectively, with clear visibility of the hand movements and body posture.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 adheres much closer to the specific color attributes requested in the prompt, particularly the dress color, and renders the environmental elements with greater clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Facial Stability)\", \"reason_1\": \"The dancer's face in Video 1 suffers from severe morphing and distortion, losing human likeness and consistency throughout the clip.\", \"reason_2\": \"Video 2 maintains a consistent facial structure and identity throughout the rotation, avoiding the 'melting' effect seen in Video 1.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The overall image in Video 1 is soft and lacks definition, appearing somewhat blurry and low-resolution.\", \"reason_2\": \"Video 2 is significantly sharper, with crisp edges on the subject and clear definition in the fabric textures.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Physics & Cloth Simulation\", \"reason_1\": \"The dress in Video 1 moves fluidly but behaves somewhat like a liquid blob rather than fabric.\", \"reason_2\": \"The dress in Video 2 displays more realistic folding and momentum, reacting more naturally to the dancer's spin.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior technical execution, maintaining subject identity and image sharpness, whereas Video 1 struggles with facial stability and resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Expression of Passion & Intensity\", \"reason_1\": \"Due to facial distortion, the expression in Video 1 reads as confused or distorted rather than passionate.\", \"reason_2\": \"Video 2 captures a clear, intense facial expression that aligns well with the prompt's request for 'passion and intensity'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The color palette in Video 1 is dominated by pinks and purples, lacking the dramatic contrast requested.\", \"reason_2\": \"Video 2 creates a striking aesthetic by contrasting the deep red dress against the cool blue and warm orange stage lights.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"The camera circles the subject adequately, keeping her centered.\", \"reason_2\": \"The camera movement is smooth and effectively tracks the dancer's rotation, matching the prompt's description.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the dramatic and passionate mood requested by the prompt through better lighting contrast and facial expression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily due to its superior semantic accuracy regarding the subject's attributes and significantly better video quality. It correctly renders the 'crimson' dress (whereas Video 1 renders a magenta/pink dress) and maintains a stable, recognizable face throughout the clip. Video 1 suffers from severe facial morphing and lower visual fidelity, while Video 2 delivers a sharper, more aesthetically pleasing image with better lighting contrast.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A mesmerizing dancer, clad in a flowing crimson dress, twirls elegantly on a dimly lit stage, her movements fluid and captivating. The camera circles her, capturing each graceful step and spin, as vibrant, multicolored lights cast dynamic patterns across the stage. Wisps of smoke swirl around her, adding an ethereal quality to the performance. Her expressive face reflects passion and intensity, while the lights shift from deep blues to fiery oranges, enhancing the dramatic atmosphere. The camera captures her every move, from delicate hand gestures to powerful leaps, against the backdrop of swirling smoke and vibrant, ever-changing lights.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Dress Color)", "reason_1": "Video 1 renders the dress in a bright magenta or hot pink, which deviates significantly from the requested 'crimson'.", "reason_2": "Video 2 correctly renders the dress in a deep crimson red, aligning perfectly with the prompt's specific color instruction.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Lighting & Smoke)", "reason_1": "Video 1 features a very hazy, washed-out background where the lighting effects are less distinct and the smoke obscures the subject excessively.", "reason_2": "Video 2 successfully balances the 'dimly lit stage' with 'vibrant multicolored lights' and distinct 'wisps of smoke' that enhance rather than obscure the scene.", "score_1": 4, "score_2": 6}, {"name": "Action Specificity (Twirls & Gestures)", "reason_1": "Video 1 depicts the twirling action well, though the hand gestures are somewhat obscured by the dress volume.", "reason_2": "Video 2 also depicts the twirling action effectively, with clear visibility of the hand movements and body posture.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 adheres much closer to the specific color attributes requested in the prompt, particularly the dress color, and renders the environmental elements with greater clarity.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Facial Stability)", "reason_1": "The dancer's face in Video 1 suffers from severe morphing and distortion, losing human likeness and consistency throughout the clip.", "reason_2": "Video 2 maintains a consistent facial structure and identity throughout the rotation, avoiding the 'melting' effect seen in Video 1.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The overall image in Video 1 is soft and lacks definition, appearing somewhat blurry and low-resolution.", "reason_2": "Video 2 is significantly sharper, with crisp edges on the subject and clear definition in the fabric textures.", "score_1": 3, "score_2": 7}, {"name": "Physics & Cloth Simulation", "reason_1": "The dress in Video 1 moves fluidly but behaves somewhat like a liquid blob rather than fabric.", "reason_2": "The dress in Video 2 displays more realistic folding and momentum, reacting more naturally to the dancer's spin.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior technical execution, maintaining subject identity and image sharpness, whereas Video 1 struggles with facial stability and resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Expression of Passion & Intensity", "reason_1": "Due to facial distortion, the expression in Video 1 reads as confused or distorted rather than passionate.", "reason_2": "Video 2 captures a clear, intense facial expression that aligns well with the prompt's request for 'passion and intensity'.", "score_1": 3, "score_2": 7}, {"name": "Color Harmony & Contrast", "reason_1": "The color palette in Video 1 is dominated by pinks and purples, lacking the dramatic contrast requested.", "reason_2": "Video 2 creates a striking aesthetic by contrasting the deep red dress against the cool blue and warm orange stage lights.", "score_1": 3, "score_2": 7}, {"name": "Camera Motion & Framing", "reason_1": "The camera circles the subject adequately, keeping her centered.", "reason_2": "The camera movement is smooth and effectively tracks the dancer's rotation, matching the prompt's description.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the dramatic and passionate mood requested by the prompt through better lighting contrast and facial expression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily due to its superior semantic accuracy regarding the subject's attributes and significantly better video quality. It correctly renders the 'crimson' dress (whereas Video 1 renders a magenta/pink dress) and maintains a stable, recognizable face throughout the clip. Video 1 suffers from severe facial morphing and lower visual fidelity, while Video 2 delivers a sharper, more aesthetically pleasing image with better lighting contrast.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 61.85} +{"pair_id": "099_seed_310", "sample_index": 99, "seed": 310, "prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_310_In a sunlit studio a painter with tousled hair and.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_310_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_310_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_310_In a sunlit studio a painter with tousled hair and.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Tousled Hair & Expression)\", \"reason_1\": \"Video 1 perfectly captures the 'tousled hair' and 'focused expression' described in the prompt.\", \"reason_2\": \"Video 2 shows a subject with neat, styled hair and a neutral expression, missing the specific character description.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Palette Knife vs. Brush)\", \"reason_1\": \"Video 1 fails to generate a palette knife, defaulting to a standard paintbrush.\", \"reason_2\": \"Video 2 also fails to generate a palette knife, using a flat brush instead.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Sunlit Studio)\", \"reason_1\": \"Video 1 depicts a rustic, naturally lit space that feels like a genuine 'sunlit studio'.\", \"reason_2\": \"Video 2 depicts a generic room with flat, artificial lighting that lacks the atmospheric depth of a studio.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Progression (Step Back & Reveal)\", \"reason_1\": \"Video 1 attempts a transition where the camera moves closer to the canvas, partially fulfilling the 'reveal' instruction.\", \"reason_2\": \"Video 2 remains largely static in its framing and does not attempt the 'step back' or 'reveal' narrative beat.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 aligns much closer to the descriptive attributes of the subject and the environment, despite both videos failing the specific tool requirement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity (Paint & Canvas)\", \"reason_1\": \"The paint in Video 1 has visible thickness, gloss, and texture, matching the 'intricate details' requirement.\", \"reason_2\": \"The paint in Video 2 appears flat and digital, lacking physical depth or realistic texture.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Realism & Interaction\", \"reason_1\": \"Video 1 features complex lighting interactions, with shadows and highlights that suggest a real physical space.\", \"reason_2\": \"Video 2 has flat, even lighting that makes the scene look like a 2D composite.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The artist's movements in Video 1 are fluid and organic.\", \"reason_2\": \"The movement in Video 2 is somewhat stiff and mechanical.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior rendering of textures and lighting, creating a believable physical world compared to the flatter look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Sunlit & Vibrant)\", \"reason_1\": \"Video 1 successfully evokes the 'sunlit' and 'mesmerizing' mood through warm color grading and contrast.\", \"reason_2\": \"Video 2 feels clinical and lacks the emotional or atmospheric resonance requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a dynamic angle that emphasizes the artist's engagement with the work.\", \"reason_2\": \"Video 2 uses a standard, flat over-the-shoulder shot that is less visually engaging.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony (Blues & Oranges)\", \"reason_1\": \"The colors in Video 1 are rich and blended artistically, creating the 'symphony of hues'.\", \"reason_2\": \"The colors in Video 2 are distinct but lack the harmonious blending described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the artistic and emotional tone of the prompt far better, utilizing lighting and composition to create a 'mesmerizing' effect.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior adherence to the atmospheric and character-specific details of the prompt. It successfully renders the 'sunlit studio' environment and the 'tousled hair' of the painter, creating a cohesive and realistic scene. While both videos fail to generate the specific 'palette knife' requested (both use brushes), Video 1 excels in visual fidelity, lighting, and the textural quality of the paint, whereas Video 2 feels flatter and more generic.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Tousled Hair & Expression)", "reason_1": "Video 1 perfectly captures the 'tousled hair' and 'focused expression' described in the prompt.", "reason_2": "Video 2 shows a subject with neat, styled hair and a neutral expression, missing the specific character description.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Palette Knife vs. Brush)", "reason_1": "Video 1 fails to generate a palette knife, defaulting to a standard paintbrush.", "reason_2": "Video 2 also fails to generate a palette knife, using a flat brush instead.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Sunlit Studio)", "reason_1": "Video 1 depicts a rustic, naturally lit space that feels like a genuine 'sunlit studio'.", "reason_2": "Video 2 depicts a generic room with flat, artificial lighting that lacks the atmospheric depth of a studio.", "score_1": 8, "score_2": 2}, {"name": "Narrative Progression (Step Back & Reveal)", "reason_1": "Video 1 attempts a transition where the camera moves closer to the canvas, partially fulfilling the 'reveal' instruction.", "reason_2": "Video 2 remains largely static in its framing and does not attempt the 'step back' or 'reveal' narrative beat.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 aligns much closer to the descriptive attributes of the subject and the environment, despite both videos failing the specific tool requirement.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity (Paint & Canvas)", "reason_1": "The paint in Video 1 has visible thickness, gloss, and texture, matching the 'intricate details' requirement.", "reason_2": "The paint in Video 2 appears flat and digital, lacking physical depth or realistic texture.", "score_1": 8, "score_2": 2}, {"name": "Lighting Realism & Interaction", "reason_1": "Video 1 features complex lighting interactions, with shadows and highlights that suggest a real physical space.", "reason_2": "Video 2 has flat, even lighting that makes the scene look like a 2D composite.", "score_1": 8, "score_2": 2}, {"name": "Motion Naturalness", "reason_1": "The artist's movements in Video 1 are fluid and organic.", "reason_2": "The movement in Video 2 is somewhat stiff and mechanical.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior rendering of textures and lighting, creating a believable physical world compared to the flatter look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Sunlit & Vibrant)", "reason_1": "Video 1 successfully evokes the 'sunlit' and 'mesmerizing' mood through warm color grading and contrast.", "reason_2": "Video 2 feels clinical and lacks the emotional or atmospheric resonance requested.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a dynamic angle that emphasizes the artist's engagement with the work.", "reason_2": "Video 2 uses a standard, flat over-the-shoulder shot that is less visually engaging.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony (Blues & Oranges)", "reason_1": "The colors in Video 1 are rich and blended artistically, creating the 'symphony of hues'.", "reason_2": "The colors in Video 2 are distinct but lack the harmonious blending described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the artistic and emotional tone of the prompt far better, utilizing lighting and composition to create a 'mesmerizing' effect.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior adherence to the atmospheric and character-specific details of the prompt. It successfully renders the 'sunlit studio' environment and the 'tousled hair' of the painter, creating a cohesive and realistic scene. While both videos fail to generate the specific 'palette knife' requested (both use brushes), Video 1 excels in visual fidelity, lighting, and the textural quality of the paint, whereas Video 2 feels flatter and more generic.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 25.0, "elapsed_sec": 57.467} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2_summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7f8c47e604a2c57dc1eefb9f0a5036a936dfd007 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2_summary.json @@ -0,0 +1,31 @@ +{ + "total": 38, + "success": 38, + "counts": { + "yw002-1-sage-baseline": 17, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 21, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.4473684210526316, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5526315789473685 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.4473684210526316, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5526315789473685 + }, + "latency_sec": { + "mean": 60.737947368421054, + "median": 57.4915, + "min": 52.136, + "max": 143.692 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_2.jsonl", + "shard_count": 8, + "shard_index": 2 +} \ No newline at end of file diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3.jsonl b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e26167a79bdade760cfe2c6905644269210ebf98 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3.jsonl @@ -0,0 +1,38 @@ +{"pair_id": "001_seed_42", "sample_index": 1, "seed": 42, "prompt": "A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_42_A polished metal ball gleaming under soft ambient.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Fidelity (Dark Wooden Tabletop)\", \"reason_1\": \"Video 1 correctly renders a dark, rich wooden surface as explicitly requested.\", \"reason_2\": \"Video 2 completely ignores the 'dark' attribute, rendering a light-colored, beige laminate-style floor.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Subject Attributes (Polished Metal Ball)\", \"reason_1\": \"Video 1 renders a highly polished, chrome-like sphere that gleams effectively.\", \"reason_2\": \"Video 2 renders a metal ball, but the texture appears slightly brushed or less 'gleaming' than the prompt implies.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Adherence (Smooth Journey)\", \"reason_1\": \"Video 1 depicts a smooth, continuous rolling motion that feels deliberate and effortless.\", \"reason_2\": \"Video 2 shows movement, but the speed and texture of the floor create a sense of vibration rather than a smooth glide.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 followed the environmental description perfectly, while Video 2 failed a major attribute constraint regarding the table's color.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The wood grain and metal surface in Video 1 are sharp, detailed, and photorealistic.\", \"reason_2\": \"The floor texture in Video 2 looks artificial, stretched, and low-resolution, resembling a low-quality 3D asset.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Reflection Physics & Consistency\", \"reason_1\": \"The reflections on the ball in Video 1 warp naturally with the curvature and maintain high clarity.\", \"reason_2\": \"Reflections in Video 2 are present but appear flatter and less integrated with the environment's lighting.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion is fluid with no stuttering.\", \"reason_2\": \"The motion is acceptable but feels slightly mechanical compared to the organic smoothness of Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates superior texture resolution and realistic lighting interaction compared to the lower-fidelity look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Serene & Captivating)\", \"reason_1\": \"The warm lighting and dark wood create the exact 'serene' and 'captivating' atmosphere described.\", \"reason_2\": \"The bright, clinical lighting and beige floor fail to evoke the requested mood, feeling more like a stock render.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Light & Shadow Interaction\", \"reason_1\": \"Video 1 features a soft, realistic shadow that grounds the object, enhancing the 'dance of light and shadow'.\", \"reason_2\": \"The shadow in Video 2 is harsh and disconnected, lacking the subtlety requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing and depth of field in Video 1 focus attention effectively on the subject.\", \"reason_2\": \"The composition is functional but lacks artistic merit, with a distracting background texture.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully captures the 'serene' and 'mesmerizing' mood through better lighting and color grading.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner primarily due to its strict adherence to the environmental constraints of the prompt. It correctly depicts a 'dark wooden tabletop,' whereas Video 2 generates a light-colored, beige surface, constituting a significant semantic failure. Furthermore, Video 1 exhibits superior photorealism, particularly in the rendering of wood grain textures and the complex reflections on the metallic surface, creating the requested 'mesmerizing' atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Fidelity (Dark Wooden Tabletop)", "reason_1": "Video 1 correctly renders a dark, rich wooden surface as explicitly requested.", "reason_2": "Video 2 completely ignores the 'dark' attribute, rendering a light-colored, beige laminate-style floor.", "score_1": 10, "score_2": 0}, {"name": "Subject Attributes (Polished Metal Ball)", "reason_1": "Video 1 renders a highly polished, chrome-like sphere that gleams effectively.", "reason_2": "Video 2 renders a metal ball, but the texture appears slightly brushed or less 'gleaming' than the prompt implies.", "score_1": 6, "score_2": 4}, {"name": "Action Adherence (Smooth Journey)", "reason_1": "Video 1 depicts a smooth, continuous rolling motion that feels deliberate and effortless.", "reason_2": "Video 2 shows movement, but the speed and texture of the floor create a sense of vibration rather than a smooth glide.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 followed the environmental description perfectly, while Video 2 failed a major attribute constraint regarding the table's color.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The wood grain and metal surface in Video 1 are sharp, detailed, and photorealistic.", "reason_2": "The floor texture in Video 2 looks artificial, stretched, and low-resolution, resembling a low-quality 3D asset.", "score_1": 9, "score_2": 1}, {"name": "Reflection Physics & Consistency", "reason_1": "The reflections on the ball in Video 1 warp naturally with the curvature and maintain high clarity.", "reason_2": "Reflections in Video 2 are present but appear flatter and less integrated with the environment's lighting.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The motion is fluid with no stuttering.", "reason_2": "The motion is acceptable but feels slightly mechanical compared to the organic smoothness of Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates superior texture resolution and realistic lighting interaction compared to the lower-fidelity look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Serene & Captivating)", "reason_1": "The warm lighting and dark wood create the exact 'serene' and 'captivating' atmosphere described.", "reason_2": "The bright, clinical lighting and beige floor fail to evoke the requested mood, feeling more like a stock render.", "score_1": 9, "score_2": 1}, {"name": "Light & Shadow Interaction", "reason_1": "Video 1 features a soft, realistic shadow that grounds the object, enhancing the 'dance of light and shadow'.", "reason_2": "The shadow in Video 2 is harsh and disconnected, lacking the subtlety requested.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition", "reason_1": "The framing and depth of field in Video 1 focus attention effectively on the subject.", "reason_2": "The composition is functional but lacks artistic merit, with a distracting background texture.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully captures the 'serene' and 'mesmerizing' mood through better lighting and color grading.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner primarily due to its strict adherence to the environmental constraints of the prompt. It correctly depicts a 'dark wooden tabletop,' whereas Video 2 generates a light-colored, beige surface, constituting a significant semantic failure. Furthermore, Video 1 exhibits superior photorealism, particularly in the rendering of wood grain textures and the complex reflections on the metallic surface, creating the requested 'mesmerizing' atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 55.976} +{"pair_id": "003_seed_930", "sample_index": 3, "seed": 930, "prompt": "A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_003_seed_930_A couple strolls hand in hand down a bustling city.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_930_A couple strolls hand in hand down a bustling city.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_003_seed_930_A couple strolls hand in hand down a bustling city.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_003_seed_930_A couple strolls hand in hand down a bustling city.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Attribute Fidelity\", \"reason_1\": \"Video 1 correctly depicts the navy coat, jeans, and red trench coat with black boots.\", \"reason_2\": \"Video 2 also correctly depicts all clothing attributes, including the specific colors and types requested.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Interaction Visibility (Smiles & Glances)\", \"reason_1\": \"Video 1 frames the couple from the front, clearly showing them exchanging smiles and glances as requested.\", \"reason_2\": \"Video 2 frames the couple from behind, making it impossible to verify the 'smiles and glances' requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Bustling Street)\", \"reason_1\": \"Video 1 depicts a street, but the background characters are distorted and the environment feels somewhat empty.\", \"reason_2\": \"Video 2 depicts a more convincing 'bustling' street with better depth, lighting, and background activity.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 strictly adheres to the prompt's requirement to show the couple 'exchanging smiles and glances' by using a frontal camera angle. Video 2 chooses a rear angle, obscuring the faces and failing to visually confirm this specific interaction.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial & Anatomical Integrity\", \"reason_1\": \"Video 1 suffers from severe facial distortion; the man's face is melted and unrecognizable, and the woman's features are inconsistent.\", \"reason_2\": \"Video 2 maintains high anatomical integrity for the bodies and avoids facial distortion by using a rear angle.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"Video 1 has a blurry, low-resolution appearance with muddy textures on the clothing and street.\", \"reason_2\": \"Video 2 is sharp, with distinct textures on the trench coat and realistic lighting on the pavement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Naturalness (Gait & Physics)\", \"reason_1\": \"The walking motion in Video 1 feels slightly floaty and disconnected from the ground.\", \"reason_2\": \"Video 2 displays a more grounded and natural walking gait for both subjects.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is vastly superior in technical execution. Video 1 exhibits severe 'nightmare' artifacts with melted faces and low-resolution textures, whereas Video 2 maintains high fidelity and stability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Warm Hues)\", \"reason_1\": \"Video 1 has flat, neutral lighting that fails to capture the 'warm hues of a setting sun'.\", \"reason_2\": \"Video 2 features a beautiful, warm color palette that perfectly matches the sunset description in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is destroyed by the uncanny valley effect of the distorted faces.\", \"reason_2\": \"The video is aesthetically pleasing, resembling high-quality stock footage or a movie scene.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The frontal framing is standard but the background clutter distracts from the subjects.\", \"reason_2\": \"The rear tracking shot is cinematic and effectively leads the viewer's eye down the street.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the requested 'warm hues of a setting sun' and creates a romantic, cinematic atmosphere. Video 1 has flat, dull lighting and lacks aesthetic appeal due to the visual artifacts.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly superior visual quality, photorealism, and atmospheric lighting compared to Video 1. While Video 1 attempts to show the facial expressions requested in the prompt, it suffers from severe facial distortion and low resolution. Video 2 provides a cinematic, high-fidelity interpretation with excellent lighting and stability, making it the better overall generation despite the camera angle obscuring the faces.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A couple strolls hand in hand down a bustling city street, their fingers intertwined, embodying a sense of unity and affection. The man, wearing a navy coat and jeans, walks confidently beside the woman, who is dressed in a stylish red trench coat and black boots. The street is alive with the sounds of distant traffic and the chatter of passersby, while the couple remains in their own world, exchanging smiles and glances. The static camera captures their every step, as they navigate the urban landscape, framed by towering buildings and vibrant storefronts, under a sky painted with the warm hues of a setting sun.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Attribute Fidelity", "reason_1": "Video 1 correctly depicts the navy coat, jeans, and red trench coat with black boots.", "reason_2": "Video 2 also correctly depicts all clothing attributes, including the specific colors and types requested.", "score_1": 5, "score_2": 5}, {"name": "Interaction Visibility (Smiles & Glances)", "reason_1": "Video 1 frames the couple from the front, clearly showing them exchanging smiles and glances as requested.", "reason_2": "Video 2 frames the couple from behind, making it impossible to verify the 'smiles and glances' requirement.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Bustling Street)", "reason_1": "Video 1 depicts a street, but the background characters are distorted and the environment feels somewhat empty.", "reason_2": "Video 2 depicts a more convincing 'bustling' street with better depth, lighting, and background activity.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 strictly adheres to the prompt's requirement to show the couple 'exchanging smiles and glances' by using a frontal camera angle. Video 2 chooses a rear angle, obscuring the faces and failing to visually confirm this specific interaction.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial & Anatomical Integrity", "reason_1": "Video 1 suffers from severe facial distortion; the man's face is melted and unrecognizable, and the woman's features are inconsistent.", "reason_2": "Video 2 maintains high anatomical integrity for the bodies and avoids facial distortion by using a rear angle.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Resolution", "reason_1": "Video 1 has a blurry, low-resolution appearance with muddy textures on the clothing and street.", "reason_2": "Video 2 is sharp, with distinct textures on the trench coat and realistic lighting on the pavement.", "score_1": 2, "score_2": 8}, {"name": "Motion Naturalness (Gait & Physics)", "reason_1": "The walking motion in Video 1 feels slightly floaty and disconnected from the ground.", "reason_2": "Video 2 displays a more grounded and natural walking gait for both subjects.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is vastly superior in technical execution. Video 1 exhibits severe 'nightmare' artifacts with melted faces and low-resolution textures, whereas Video 2 maintains high fidelity and stability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Warm Hues)", "reason_1": "Video 1 has flat, neutral lighting that fails to capture the 'warm hues of a setting sun'.", "reason_2": "Video 2 features a beautiful, warm color palette that perfectly matches the sunset description in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is destroyed by the uncanny valley effect of the distorted faces.", "reason_2": "The video is aesthetically pleasing, resembling high-quality stock footage or a movie scene.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The frontal framing is standard but the background clutter distracts from the subjects.", "reason_2": "The rear tracking shot is cinematic and effectively leads the viewer's eye down the street.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the requested 'warm hues of a setting sun' and creates a romantic, cinematic atmosphere. Video 1 has flat, dull lighting and lacks aesthetic appeal due to the visual artifacts.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly superior visual quality, photorealism, and atmospheric lighting compared to Video 1. While Video 1 attempts to show the facial expressions requested in the prompt, it suffers from severe facial distortion and low resolution. Video 2 provides a cinematic, high-fidelity interpretation with excellent lighting and stability, making it the better overall generation despite the camera angle obscuring the faces.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 32.0, "total_score_2": 58.0, "elapsed_sec": 57.928} +{"pair_id": "006_seed_310", "sample_index": 6, "seed": 310, "prompt": "An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_006_seed_310_An exhilarating FPV aerial shot captures the breat.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_310_An exhilarating FPV aerial shot captures the breat.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_006_seed_310_An exhilarating FPV aerial shot captures the breat.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_310_An exhilarating FPV aerial shot captures the breat.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"FPV Motion Dynamics (Swoop & Glide)\", \"reason_1\": \"Video 1 features a smooth, banking camera movement that perfectly mimics an FPV drone gliding effortlessly over a ridge, matching the 'swoops gracefully' instruction.\", \"reason_2\": \"Video 2 moves forward but lacks the banking and dynamic perspective shifts characteristic of an FPV shot, feeling more like a static camera on a track.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Atmosphere (Golden & Pastel)\", \"reason_1\": \"Video 1 beautifully renders the 'golden embrace' on the peaks and the 'soft pastel hues' in the sky, creating a cohesive morning atmosphere.\", \"reason_2\": \"Video 2 has a harsher, flatter lighting scheme. While the sun is visible, it lacks the 'soft pastel' quality and the golden light interaction with the snow is less distinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Terrain & Shadow Intricacy\", \"reason_1\": \"The video reveals 'intricate patterns of shadows' cast by the ridge geometry, adding depth and realism to the snow.\", \"reason_2\": \"The terrain in Video 2 appears smoother and less 'rugged,' with shadows that feel less defined and integrated into the landscape.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the specific 'FPV' motion dynamics and the 'golden embrace' lighting much more accurately than Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity (Snow Surface)\", \"reason_1\": \"The snow in Video 1 has a realistic granular texture and wind-swept look, maintaining detail even during motion.\", \"reason_2\": \"The snow surface in Video 2 looks overly smooth, plastic-like, and lacks the high-frequency detail expected of 'pristine white snow'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Geometric Stability (Terrain Consistency)\", \"reason_1\": \"The mountain ridges maintain their structural integrity throughout the camera movement.\", \"reason_2\": \"As the camera moves, the mountain peaks in the background exhibit slight warping and shifting geometry, breaking the illusion of realism.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion is fluid and consistent, with no jitter or frame drops.\", \"reason_2\": \"The motion is generally smooth but feels slightly mechanical and linear compared to the organic flow of Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering and geometric stability, whereas Video 2 suffers from artificial-looking surfaces and minor warping.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing follows the ridge line, using the shadows as leading lines to create a visually engaging composition.\", \"reason_2\": \"The composition is somewhat flat, looking down a slope without a strong focal point or interesting geometric arrangement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"The color palette is rich and harmonious, blending the cool blues of the shadows with the warm golds of the sun effectively.\", \"reason_2\": \"The colors are somewhat washed out and lack the vibrant contrast described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Mood Evocation (Serenity & Majesty)\", \"reason_1\": \"The combination of lighting, smooth motion, and vast scale successfully evokes the 'mesmerizing and peaceful' mood.\", \"reason_2\": \"While peaceful, the lack of textural detail and dynamic lighting makes it feel less 'majestic' and more like a standard render.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers a more cinematic composition with better color grading that evokes the requested 'mesmerizing' mood.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 significantly outperforms Video 2 in terms of visual fidelity, texture realism, and adherence to the specific motion dynamics requested. It successfully captures the 'FPV' feel with a banking camera movement along a ridge, whereas Video 2 feels more like a linear, static camera path. Furthermore, Video 1 renders the snow texture and lighting interactions with much higher realism, avoiding the plastic-like appearance seen in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "FPV Motion Dynamics (Swoop & Glide)", "reason_1": "Video 1 features a smooth, banking camera movement that perfectly mimics an FPV drone gliding effortlessly over a ridge, matching the 'swoops gracefully' instruction.", "reason_2": "Video 2 moves forward but lacks the banking and dynamic perspective shifts characteristic of an FPV shot, feeling more like a static camera on a track.", "score_1": 8, "score_2": 2}, {"name": "Lighting Atmosphere (Golden & Pastel)", "reason_1": "Video 1 beautifully renders the 'golden embrace' on the peaks and the 'soft pastel hues' in the sky, creating a cohesive morning atmosphere.", "reason_2": "Video 2 has a harsher, flatter lighting scheme. While the sun is visible, it lacks the 'soft pastel' quality and the golden light interaction with the snow is less distinct.", "score_1": 7, "score_2": 3}, {"name": "Terrain & Shadow Intricacy", "reason_1": "The video reveals 'intricate patterns of shadows' cast by the ridge geometry, adding depth and realism to the snow.", "reason_2": "The terrain in Video 2 appears smoother and less 'rugged,' with shadows that feel less defined and integrated into the landscape.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the specific 'FPV' motion dynamics and the 'golden embrace' lighting much more accurately than Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity (Snow Surface)", "reason_1": "The snow in Video 1 has a realistic granular texture and wind-swept look, maintaining detail even during motion.", "reason_2": "The snow surface in Video 2 looks overly smooth, plastic-like, and lacks the high-frequency detail expected of 'pristine white snow'.", "score_1": 8, "score_2": 2}, {"name": "Geometric Stability (Terrain Consistency)", "reason_1": "The mountain ridges maintain their structural integrity throughout the camera movement.", "reason_2": "As the camera moves, the mountain peaks in the background exhibit slight warping and shifting geometry, breaking the illusion of realism.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness", "reason_1": "The motion is fluid and consistent, with no jitter or frame drops.", "reason_2": "The motion is generally smooth but feels slightly mechanical and linear compared to the organic flow of Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates superior texture rendering and geometric stability, whereas Video 2 suffers from artificial-looking surfaces and minor warping.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "The framing follows the ridge line, using the shadows as leading lines to create a visually engaging composition.", "reason_2": "The composition is somewhat flat, looking down a slope without a strong focal point or interesting geometric arrangement.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Grading", "reason_1": "The color palette is rich and harmonious, blending the cool blues of the shadows with the warm golds of the sun effectively.", "reason_2": "The colors are somewhat washed out and lack the vibrant contrast described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Mood Evocation (Serenity & Majesty)", "reason_1": "The combination of lighting, smooth motion, and vast scale successfully evokes the 'mesmerizing and peaceful' mood.", "reason_2": "While peaceful, the lack of textural detail and dynamic lighting makes it feel less 'majestic' and more like a standard render.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers a more cinematic composition with better color grading that evokes the requested 'mesmerizing' mood.", "cat_winner": "Video 1"}], "reason": "Video 1 significantly outperforms Video 2 in terms of visual fidelity, texture realism, and adherence to the specific motion dynamics requested. It successfully captures the 'FPV' feel with a banking camera movement along a ridge, whereas Video 2 feels more like a linear, static camera path. Furthermore, Video 1 renders the snow texture and lighting interactions with much higher realism, avoiding the plastic-like appearance seen in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 60.121} +{"pair_id": "009_seed_42", "sample_index": 9, "seed": 42, "prompt": "From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_009_seed_42_From a high vantage point the bustling street belo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_42_From a high vantage point the bustling street belo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_42_From a high vantage point the bustling street belo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_009_seed_42_From a high vantage point the bustling street belo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Inventory & Role Assignment\", \"reason_1\": \"Video 1 conflates the 'man in a business suit' and the 'saxophone player' into a single character (a man in a suit playing the sax), missing the distinct roles requested.\", \"reason_2\": \"Video 2 successfully generates distinct entities: a woman in red, a man in a suit, a cyclist, and a street performer, although the performer is playing a guitar rather than a saxophone.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Atmosphere (Golden Sunlight)\", \"reason_1\": \"Video 1 features standard daylight with harsh shadows but lacks the specific 'golden' warmth requested.\", \"reason_2\": \"Video 2 perfectly captures the 'golden sunlight' description, bathing the scene in a warm, vibrant hue that enhances the urban energy.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Specificity (Weaving & Brisk Walking)\", \"reason_1\": \"The cyclist in Video 1 is riding alongside the camera rather than weaving through a crowd, and the walking motion is somewhat floaty.\", \"reason_2\": \"Video 2 depicts a cyclist actively weaving through the frame and pedestrians moving with a brisk, natural pace consistent with the prompt.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly identifies and separates the distinct subjects (woman in red, man in suit, cyclist, performer), whereas Video 1 merges the man in the suit and the saxophone player into one character. Video 2 also captures the 'golden' lighting atmosphere much more accurately.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Crowd & Objects)\", \"reason_1\": \"Video 1 exhibits severe morphing; the saxophone melts into the man's coat, and background pedestrians lose their form entirely.\", \"reason_2\": \"Video 2 maintains the structural integrity of the crowd, the cyclist, and the buildings throughout the clip with minimal distortion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"The image is soft and lacks detail, with faces and clothing textures appearing muddy and indistinct.\", \"reason_2\": \"The video is sharp, with clear textures on the pavement, clothing, and architectural elements.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The movement feels artificial, with the cyclist appearing to slide rather than roll, and pedestrians gliding over the ground.\", \"reason_2\": \"The motion is grounded and realistic; the cyclist's wheels turn appropriately, and pedestrians have weight and proper foot placement.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and clarity. Video 1 suffers from significant hallucinations, where objects and people morph into one another, and the overall resolution is lower.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing (High Vantage)\", \"reason_1\": \"The camera angle is high but feels somewhat cramped and shaky, limiting the view of the 'bustling street'.\", \"reason_2\": \"The framing is a stable, wide high-angle shot that effectively showcases the scale of the avenue and the diversity of the crowd.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Harmony & Lighting Aesthetics\", \"reason_1\": \"The color palette is somewhat dull and washed out, failing to evoke the 'vibrant energy' described.\", \"reason_2\": \"The rich golden tones and high contrast create a visually striking and aesthetically pleasing image that matches the prompt's mood.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is marred by visual artifacts and a lack of polish, making it less engaging to watch.\", \"reason_2\": \"The video looks like high-quality stock footage, with a cohesive style and professional presentation.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a superior composition that effectively conveys the scale of the 'bustling street' and utilizes the lighting to create a pleasing aesthetic, whereas Video 1 feels more like a raw, unstable generation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, temporal stability, and accurate depiction of the environmental atmosphere. While it substitutes the requested saxophone for a guitar, it successfully generates distinct, coherent subjects (woman in red, man in suit, cyclist, performer) and captures the 'golden sunlight' perfectly. Video 1 suffers from severe morphological instability, merging the man in the suit with the saxophone player, and lacks the visual clarity and stability of Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Inventory & Role Assignment", "reason_1": "Video 1 conflates the 'man in a business suit' and the 'saxophone player' into a single character (a man in a suit playing the sax), missing the distinct roles requested.", "reason_2": "Video 2 successfully generates distinct entities: a woman in red, a man in a suit, a cyclist, and a street performer, although the performer is playing a guitar rather than a saxophone.", "score_1": 3, "score_2": 7}, {"name": "Environmental Atmosphere (Golden Sunlight)", "reason_1": "Video 1 features standard daylight with harsh shadows but lacks the specific 'golden' warmth requested.", "reason_2": "Video 2 perfectly captures the 'golden sunlight' description, bathing the scene in a warm, vibrant hue that enhances the urban energy.", "score_1": 4, "score_2": 6}, {"name": "Action Specificity (Weaving & Brisk Walking)", "reason_1": "The cyclist in Video 1 is riding alongside the camera rather than weaving through a crowd, and the walking motion is somewhat floaty.", "reason_2": "Video 2 depicts a cyclist actively weaving through the frame and pedestrians moving with a brisk, natural pace consistent with the prompt.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly identifies and separates the distinct subjects (woman in red, man in suit, cyclist, performer), whereas Video 1 merges the man in the suit and the saxophone player into one character. Video 2 also captures the 'golden' lighting atmosphere much more accurately.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Crowd & Objects)", "reason_1": "Video 1 exhibits severe morphing; the saxophone melts into the man's coat, and background pedestrians lose their form entirely.", "reason_2": "Video 2 maintains the structural integrity of the crowd, the cyclist, and the buildings throughout the clip with minimal distortion.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Texture Definition", "reason_1": "The image is soft and lacks detail, with faces and clothing textures appearing muddy and indistinct.", "reason_2": "The video is sharp, with clear textures on the pavement, clothing, and architectural elements.", "score_1": 3, "score_2": 7}, {"name": "Motion Physics & Grounding", "reason_1": "The movement feels artificial, with the cyclist appearing to slide rather than roll, and pedestrians gliding over the ground.", "reason_2": "The motion is grounded and realistic; the cyclist's wheels turn appropriately, and pedestrians have weight and proper foot placement.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates professional-grade stability and clarity. Video 1 suffers from significant hallucinations, where objects and people morph into one another, and the overall resolution is lower.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing (High Vantage)", "reason_1": "The camera angle is high but feels somewhat cramped and shaky, limiting the view of the 'bustling street'.", "reason_2": "The framing is a stable, wide high-angle shot that effectively showcases the scale of the avenue and the diversity of the crowd.", "score_1": 4, "score_2": 6}, {"name": "Color Harmony & Lighting Aesthetics", "reason_1": "The color palette is somewhat dull and washed out, failing to evoke the 'vibrant energy' described.", "reason_2": "The rich golden tones and high contrast create a visually striking and aesthetically pleasing image that matches the prompt's mood.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is marred by visual artifacts and a lack of polish, making it less engaging to watch.", "reason_2": "The video looks like high-quality stock footage, with a cohesive style and professional presentation.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a superior composition that effectively conveys the scale of the 'bustling street' and utilizes the lighting to create a pleasing aesthetic, whereas Video 1 feels more like a raw, unstable generation.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, temporal stability, and accurate depiction of the environmental atmosphere. While it substitutes the requested saxophone for a guitar, it successfully generates distinct, coherent subjects (woman in red, man in suit, cyclist, performer) and captures the 'golden sunlight' perfectly. Video 1 suffers from severe morphological instability, merging the man in the suit with the saxophone player, and lacks the visual clarity and stability of Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 63.799} +{"pair_id": "011_seed_930", "sample_index": 11, "seed": 930, "prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_011_seed_930_A poised model stands gracefully in a vibrant red.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Integrity (Poised Model)\", \"reason_1\": \"Video 1 generates a realistic, anatomically correct human female who fits the description of a poised model.\", \"reason_2\": \"Video 2 generates a severely deformed figure with a distorted, elongated neck and melted facial features, completely failing the 'poised model' requirement.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Material Texture Fidelity (Silk vs. Plastic)\", \"reason_1\": \"Video 1 renders the dress with an extremely high-gloss, metallic finish that resembles latex or liquid chrome more than traditional silk, though it captures the 'glossy sheen' aspect.\", \"reason_2\": \"Video 2 captures the drape and weight of silk fabric more accurately, but the texture is ruined by the overall low fidelity and distortion of the subject.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Adherence (Gentle Sway)\", \"reason_1\": \"The model in Video 1 performs the requested gentle swaying motion with natural fluidity.\", \"reason_2\": \"The motion in Video 2 is jerky and unnatural, driven by the morphing of the distorted subject rather than a graceful human movement.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately depicts a poised model and the requested action. Video 2 fails the fundamental semantic requirement of generating a recognizable human subject.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical & Morphological Stability\", \"reason_1\": \"The subject maintains perfect anatomical proportions and identity consistency throughout the clip.\", \"reason_2\": \"The subject exhibits severe morphological instability, with the neck and face warping grotesquely over time.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is sharp, clear, and high-resolution with well-defined edges.\", \"reason_2\": \"The video appears blurry, low-resolution, and lacks fine detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting Interaction & Reflection\", \"reason_1\": \"The lighting interacts realistically with the glossy surface of the dress, creating dynamic reflections as requested.\", \"reason_2\": \"The lighting is flat and dull, failing to capture the 'intricate play of light' described in the prompt.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by severe artifacts and anatomical hallucinations.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is aesthetically pleasing, resembling a high-end fashion commercial.\", \"reason_2\": \"The visual experience is unpleasant due to the uncanny and disturbing distortion of the human figure.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Atmosphere (Opulence & Luxury)\", \"reason_1\": \"The vibrant red color and glossy finish successfully convey the requested sense of luxury and opulence.\", \"reason_2\": \"The dull colors and distorted subject matter fail to convey any sense of luxury or allure.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Background & Focus\", \"reason_1\": \"The clean, white background effectively keeps the focus on the model and dress.\", \"reason_2\": \"The background is a distracting, low-quality curtain that competes with the subject for attention.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a cohesive, high-fashion aesthetic. Video 2 creates an unintentional horror aesthetic due to the generation errors.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior anatomical coherence, high visual fidelity, and successful execution of the prompt's aesthetic requirements. While the dress texture in Video 1 leans towards a metallic or latex finish rather than traditional silk, it perfectly captures the requested 'glossy sheen' and 'liquid' movement. In stark contrast, Video 2 suffers from catastrophic morphological failure, rendering the model with severe anatomical distortions (elongated neck, melted face) that completely undermine the prompt's request for a 'poised' and 'graceful' subject.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A poised model stands gracefully in a vibrant red silk dress, its glossy sheen catching the light with every subtle movement. The dress, with its smooth, shiny texture, cascades elegantly down her form, reflecting a spectrum of rich crimson hues. As she gently sways, the silk fabric ripples like liquid, accentuating its luxurious quality. Her confident stance and serene expression complement the dress's opulence, while the static camera captures the intricate play of light on the silk's surface, highlighting its lustrous, glossy appearance. The background remains understated, ensuring the focus remains on the model and the captivating allure of the dress.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Integrity (Poised Model)", "reason_1": "Video 1 generates a realistic, anatomically correct human female who fits the description of a poised model.", "reason_2": "Video 2 generates a severely deformed figure with a distorted, elongated neck and melted facial features, completely failing the 'poised model' requirement.", "score_1": 10, "score_2": 0}, {"name": "Material Texture Fidelity (Silk vs. Plastic)", "reason_1": "Video 1 renders the dress with an extremely high-gloss, metallic finish that resembles latex or liquid chrome more than traditional silk, though it captures the 'glossy sheen' aspect.", "reason_2": "Video 2 captures the drape and weight of silk fabric more accurately, but the texture is ruined by the overall low fidelity and distortion of the subject.", "score_1": 6, "score_2": 4}, {"name": "Action Adherence (Gentle Sway)", "reason_1": "The model in Video 1 performs the requested gentle swaying motion with natural fluidity.", "reason_2": "The motion in Video 2 is jerky and unnatural, driven by the morphing of the distorted subject rather than a graceful human movement.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately depicts a poised model and the requested action. Video 2 fails the fundamental semantic requirement of generating a recognizable human subject.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical & Morphological Stability", "reason_1": "The subject maintains perfect anatomical proportions and identity consistency throughout the clip.", "reason_2": "The subject exhibits severe morphological instability, with the neck and face warping grotesquely over time.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is sharp, clear, and high-resolution with well-defined edges.", "reason_2": "The video appears blurry, low-resolution, and lacks fine detail.", "score_1": 9, "score_2": 1}, {"name": "Lighting Interaction & Reflection", "reason_1": "The lighting interacts realistically with the glossy surface of the dress, creating dynamic reflections as requested.", "reason_2": "The lighting is flat and dull, failing to capture the 'intricate play of light' described in the prompt.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by severe artifacts and anatomical hallucinations.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is aesthetically pleasing, resembling a high-end fashion commercial.", "reason_2": "The visual experience is unpleasant due to the uncanny and disturbing distortion of the human figure.", "score_1": 10, "score_2": 0}, {"name": "Atmosphere (Opulence & Luxury)", "reason_1": "The vibrant red color and glossy finish successfully convey the requested sense of luxury and opulence.", "reason_2": "The dull colors and distorted subject matter fail to convey any sense of luxury or allure.", "score_1": 9, "score_2": 1}, {"name": "Background & Focus", "reason_1": "The clean, white background effectively keeps the focus on the model and dress.", "reason_2": "The background is a distracting, low-quality curtain that competes with the subject for attention.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a cohesive, high-fashion aesthetic. Video 2 creates an unintentional horror aesthetic due to the generation errors.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior anatomical coherence, high visual fidelity, and successful execution of the prompt's aesthetic requirements. While the dress texture in Video 1 leans towards a metallic or latex finish rather than traditional silk, it perfectly captures the requested 'glossy sheen' and 'liquid' movement. In stark contrast, Video 2 suffers from catastrophic morphological failure, rendering the model with severe anatomical distortions (elongated neck, melted face) that completely undermine the prompt's request for a 'poised' and 'graceful' subject.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 80.0, "total_score_2": 10.0, "elapsed_sec": 58.682} +{"pair_id": "014_seed_310", "sample_index": 14, "seed": 310, "prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_014_seed_310_A man stands in a minimalist studio wearing a fitt.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_014_seed_310_A man stands in a minimalist studio wearing a fitt.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_014_seed_310_A man stands in a minimalist studio wearing a fitt.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_014_seed_310_A man stands in a minimalist studio wearing a fitt.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Hands Raised)\", \"reason_1\": \"Video 1 completely ignores the instruction to raise hands above the head, instead showing the subject swaying with arms down or crossing the chest.\", \"reason_2\": \"Video 2 attempts the specific action of raising hands, although the execution is anatomically flawed.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The subject maintains perfect anatomical structure throughout the clip.\", \"reason_2\": \"The subject suffers from severe hallucinations, growing extra hands and merging limbs in a grotesque manner.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Expression & Mood Alignment\", \"reason_1\": \"The subject perfectly embodies the 'serene' and 'introspective' expression with eyes closed and a calm demeanor.\", \"reason_2\": \"The mood is disrupted by the chaotic morphing of the body, destroying any sense of serenity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Framing Constraints (Entire Body)\", \"reason_1\": \"The framing is a medium shot (knees up), missing the 'entire body' requirement.\", \"reason_2\": \"The framing is wider, capturing the subject from the shins up, closer to the requested full-body shot.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"While Video 2 attempts the specific hand gesture requested, it fails fundamentally on subject logic (anatomy). Video 1 ignores the specific gesture but perfectly captures the subject, attire, expression, and mood.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability\", \"reason_1\": \"The subject's form is rock-solid with no warping or distortion.\", \"reason_2\": \"The subject's arms and hands morph, split, and merge continuously, showing zero stability.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Physical Plausibility\", \"reason_1\": \"Movement follows natural human biomechanics.\", \"reason_2\": \"The motion is physically impossible, with limbs appearing and disappearing randomly.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"High-quality rendering of skin texture, fabric folds, and lighting.\", \"reason_2\": \"The texture quality is lower, and the visual artifacts obscure the details of the clothing and face.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and realism. Video 2 is a failure in this category due to severe morphing and lack of temporal coherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is aesthetically pleasing, resembling a high-end fashion commercial.\", \"reason_2\": \"The video is visually disturbing due to the body horror elements.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmosphere & Lighting\", \"reason_1\": \"Successfully creates the 'soft shadows' and 'tranquil ambiance' requested.\", \"reason_2\": \"The lighting is flat, and the atmosphere is ruined by the glitchy motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"The swaying motion is smooth and fluid.\", \"reason_2\": \"The motion is jerky and unnatural, driven by the morphing artifacts.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 presents a cohesive, aesthetically pleasing fashion-style shot. Video 2 is visually jarring and unpleasant due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual quality, anatomical consistency, and successful capture of the requested mood. While Video 2 attempts the specific hand-raising action, it suffers from catastrophic anatomical hallucinations (generating multiple hands and morphing limbs), rendering the video unusable. Video 1 fails the specific action prompt but delivers a high-fidelity, coherent, and aesthetically pleasing result that aligns with the character and atmospheric descriptions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Hands Raised)", "reason_1": "Video 1 completely ignores the instruction to raise hands above the head, instead showing the subject swaying with arms down or crossing the chest.", "reason_2": "Video 2 attempts the specific action of raising hands, although the execution is anatomically flawed.", "score_1": 1, "score_2": 9}, {"name": "Subject Anatomical Logic", "reason_1": "The subject maintains perfect anatomical structure throughout the clip.", "reason_2": "The subject suffers from severe hallucinations, growing extra hands and merging limbs in a grotesque manner.", "score_1": 10, "score_2": 0}, {"name": "Expression & Mood Alignment", "reason_1": "The subject perfectly embodies the 'serene' and 'introspective' expression with eyes closed and a calm demeanor.", "reason_2": "The mood is disrupted by the chaotic morphing of the body, destroying any sense of serenity.", "score_1": 9, "score_2": 1}, {"name": "Framing Constraints (Entire Body)", "reason_1": "The framing is a medium shot (knees up), missing the 'entire body' requirement.", "reason_2": "The framing is wider, capturing the subject from the shins up, closer to the requested full-body shot.", "score_1": 4, "score_2": 6}], "cat_reason": "While Video 2 attempts the specific hand gesture requested, it fails fundamentally on subject logic (anatomy). Video 1 ignores the specific gesture but perfectly captures the subject, attire, expression, and mood.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability", "reason_1": "The subject's form is rock-solid with no warping or distortion.", "reason_2": "The subject's arms and hands morph, split, and merge continuously, showing zero stability.", "score_1": 10, "score_2": 0}, {"name": "Physical Plausibility", "reason_1": "Movement follows natural human biomechanics.", "reason_2": "The motion is physically impossible, with limbs appearing and disappearing randomly.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Texture", "reason_1": "High-quality rendering of skin texture, fabric folds, and lighting.", "reason_2": "The texture quality is lower, and the visual artifacts obscure the details of the clothing and face.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade stability and realism. Video 2 is a failure in this category due to severe morphing and lack of temporal coherence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is aesthetically pleasing, resembling a high-end fashion commercial.", "reason_2": "The video is visually disturbing due to the body horror elements.", "score_1": 9, "score_2": 1}, {"name": "Atmosphere & Lighting", "reason_1": "Successfully creates the 'soft shadows' and 'tranquil ambiance' requested.", "reason_2": "The lighting is flat, and the atmosphere is ruined by the glitchy motion.", "score_1": 9, "score_2": 1}, {"name": "Motion Fluidity", "reason_1": "The swaying motion is smooth and fluid.", "reason_2": "The motion is jerky and unnatural, driven by the morphing artifacts.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 presents a cohesive, aesthetically pleasing fashion-style shot. Video 2 is visually jarring and unpleasant due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual quality, anatomical consistency, and successful capture of the requested mood. While Video 2 attempts the specific hand-raising action, it suffers from catastrophic anatomical hallucinations (generating multiple hands and morphing limbs), rendering the video unusable. Video 1 fails the specific action prompt but delivers a high-fidelity, coherent, and aesthetically pleasing result that aligns with the character and atmospheric descriptions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 80.0, "total_score_2": 20.0, "elapsed_sec": 56.251} +{"pair_id": "017_seed_42", "sample_index": 17, "seed": 42, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_42_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 correctly renders the yellow raincoat, red boots, and rainbow umbrella with high clarity.\", \"reason_2\": \"Video 2 also correctly identifies and renders all key clothing and object attributes specified in the prompt.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Spatial Logic (Leash & Hand Interaction)\", \"reason_1\": \"Video 1 fails the specific instruction to hold the leash in the 'left hand'; the leash appears to be held in the right hand or is physically disconnected.\", \"reason_2\": \"Video 2 correctly depicts the girl holding the leash in her left hand (the hand on the viewer's right side), adhering strictly to the spatial prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Lighting & Weather)\", \"reason_1\": \"Video 1 perfectly captures the 'sun peeking through clouds' and 'gentle glow' on the wet pavement, creating the requested vibrant atmosphere.\", \"reason_2\": \"Video 2 presents a flatter, more overcast lighting scenario that lacks the specific 'gentle glow' and vibrant contrast requested.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"While Video 2 is more accurate regarding the specific hand holding the leash, Video 1 captures the broader environmental and atmospheric semantics (lighting, mood, colors) much more effectively.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-definition textures on the raincoat and umbrella.\", \"reason_2\": \"The image is noticeably softer and blurrier, lacking the fine detail seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The girl's face and the dog's form remain consistent and solid throughout the clip.\", \"reason_2\": \"The dog's legs and the girl's facial features exhibit slight warping and inconsistency during movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Grounding & Physics\", \"reason_1\": \"The walking motion is relatively smooth, though there is some minor 'sliding' of the feet.\", \"reason_2\": \"The dog's movement feels slightly floaty and disconnected from the ground plane.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates significantly higher resolution, sharper textures, and better temporal stability compared to the softer, slightly morphing visuals of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Vibrancy & Palette\", \"reason_1\": \"The colors are punchy and saturated, perfectly matching the 'vibrant' and 'colorful' descriptors in the prompt.\", \"reason_2\": \"The color palette is muted and somewhat dull, failing to convey the requested vibrancy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Emotional Tone (Joy & Warmth)\", \"reason_1\": \"The lighting and the girl's expression effectively convey the 'warmth and innocence' requested.\", \"reason_2\": \"The flatter lighting and less distinct expression result in a more neutral, less emotional tone.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition, lighting, and clarity combine to make a highly aesthetically pleasing video.\", \"reason_2\": \"The video feels more like a raw generation with less artistic polish and visual impact.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 excels in creating the 'charming' and 'vibrant' aesthetic requested, with superior color grading and emotional resonance.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, vibrant color grading, and accurate capture of the atmospheric lighting described in the prompt. While Video 2 adheres better to the specific spatial instruction regarding the leash, Video 1 delivers a much higher quality, aesthetically pleasing, and emotionally resonant result that aligns perfectly with the 'charming' and 'vibrant' descriptors.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 correctly renders the yellow raincoat, red boots, and rainbow umbrella with high clarity.", "reason_2": "Video 2 also correctly identifies and renders all key clothing and object attributes specified in the prompt.", "score_1": 5, "score_2": 5}, {"name": "Spatial Logic (Leash & Hand Interaction)", "reason_1": "Video 1 fails the specific instruction to hold the leash in the 'left hand'; the leash appears to be held in the right hand or is physically disconnected.", "reason_2": "Video 2 correctly depicts the girl holding the leash in her left hand (the hand on the viewer's right side), adhering strictly to the spatial prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Lighting & Weather)", "reason_1": "Video 1 perfectly captures the 'sun peeking through clouds' and 'gentle glow' on the wet pavement, creating the requested vibrant atmosphere.", "reason_2": "Video 2 presents a flatter, more overcast lighting scenario that lacks the specific 'gentle glow' and vibrant contrast requested.", "score_1": 8, "score_2": 2}], "cat_reason": "While Video 2 is more accurate regarding the specific hand holding the leash, Video 1 captures the broader environmental and atmospheric semantics (lighting, mood, colors) much more effectively.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-definition textures on the raincoat and umbrella.", "reason_2": "The image is noticeably softer and blurrier, lacking the fine detail seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Subject Morphological Stability", "reason_1": "The girl's face and the dog's form remain consistent and solid throughout the clip.", "reason_2": "The dog's legs and the girl's facial features exhibit slight warping and inconsistency during movement.", "score_1": 7, "score_2": 3}, {"name": "Motion Grounding & Physics", "reason_1": "The walking motion is relatively smooth, though there is some minor 'sliding' of the feet.", "reason_2": "The dog's movement feels slightly floaty and disconnected from the ground plane.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates significantly higher resolution, sharper textures, and better temporal stability compared to the softer, slightly morphing visuals of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Vibrancy & Palette", "reason_1": "The colors are punchy and saturated, perfectly matching the 'vibrant' and 'colorful' descriptors in the prompt.", "reason_2": "The color palette is muted and somewhat dull, failing to convey the requested vibrancy.", "score_1": 9, "score_2": 1}, {"name": "Emotional Tone (Joy & Warmth)", "reason_1": "The lighting and the girl's expression effectively convey the 'warmth and innocence' requested.", "reason_2": "The flatter lighting and less distinct expression result in a more neutral, less emotional tone.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The composition, lighting, and clarity combine to make a highly aesthetically pleasing video.", "reason_2": "The video feels more like a raw generation with less artistic polish and visual impact.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 excels in creating the 'charming' and 'vibrant' aesthetic requested, with superior color grading and emotional resonance.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, vibrant color grading, and accurate capture of the atmospheric lighting described in the prompt. While Video 2 adheres better to the specific spatial instruction regarding the leash, Video 1 delivers a much higher quality, aesthetically pleasing, and emotionally resonant result that aligns perfectly with the 'charming' and 'vibrant' descriptors.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 61.0, "total_score_2": 29.0, "elapsed_sec": 71.198} +{"pair_id": "019_seed_930", "sample_index": 19, "seed": 930, "prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_019_seed_930_A static camera captures a charming scene of a lit.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Constraint Adherence (Static vs. Moving)\", \"reason_1\": \"Video 1 completely ignores the 'static camera' instruction, utilizing a backward tracking shot (dolly) that follows the subject.\", \"reason_2\": \"Video 2 also fails the 'static camera' instruction, utilizing a similar backward tracking movement to keep the subject centered.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Attribute Fidelity (Attire & Features)\", \"reason_1\": \"Video 1 renders the yellow raincoat and red boots with high-quality texture and realistic folds. The girl's curly hair is distinct and detailed.\", \"reason_2\": \"Video 2 includes the correct colors, but the raincoat lacks texture definition, appearing flat and plastic-like compared to Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Detail (Flora & Architecture)\", \"reason_1\": \"Video 1 accurately depicts the cobblestones, vintage lampposts, and flower boxes with sharp detail.\", \"reason_2\": \"Video 2 contains the required elements, but the background details (flowers, buildings) are softer and less defined.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Both videos fail the 'static camera' constraint, but Video 1 renders the specific attributes (raincoat texture, cobblestone details) with greater fidelity to the 'storybook' description.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with clear definition in the hair strands, fabric textures, and stone surfaces.\", \"reason_2\": \"The overall image is soft and lacks high-frequency detail, giving it a lower-resolution appearance.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity & Facial Stability\", \"reason_1\": \"The girl's face remains consistent and recognizable throughout the clip, maintaining a pleasant expression.\", \"reason_2\": \"The girl's facial features shift and morph slightly between frames, lacking the temporal consistency of Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Physics (Gait & Grounding)\", \"reason_1\": \"The walking motion feels relatively grounded, though there is some minor foot sliding.\", \"reason_2\": \"The motion feels 'floaty,' with the subjects appearing to glide over the cobblestones rather than step on them.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 is significantly sharper and more stable. Video 2 suffers from a 'soft' focus look and noticeable morphing of the girl's facial features.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Sunlight & Shadows)\", \"reason_1\": \"Video 1 successfully renders the 'sunlight filtering through leaves' and 'playful shadows' requested in the prompt, creating depth.\", \"reason_2\": \"Video 2 has flat, even lighting that fails to capture the dynamic shadows or the specific atmospheric mood described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are vibrant and well-balanced, enhancing the 'charming' and 'storybook' aesthetic.\", \"reason_2\": \"The color palette is somewhat washed out and lacks the vibrancy seen in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The clip looks like a high-quality cinematic production with professional color grading.\", \"reason_2\": \"The clip resembles a lower-quality generation with less artistic merit.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'whimsical' and 'picturesque' atmosphere much better through superior lighting and color grading.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates superior visual fidelity, texture rendering, and lighting quality compared to Video 2. While both videos fail the 'static camera' constraint (both utilize a backward tracking shot), Video 1 excels in capturing the 'storybook' atmosphere with sharper details, more realistic clothing textures, and better lighting effects. Video 2 suffers from lower resolution, facial instability, and a flatter color palette.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a charming scene of a little girl, wearing a bright yellow raincoat and red boots, walking down a quaint cobblestone street. Her curly hair bounces with each step as she follows a small, fluffy white dog trotting eagerly ahead. The street is lined with colorful, flower-filled window boxes and vintage lampposts, creating a picturesque, storybook setting. The girl's laughter echoes softly as the dog occasionally glances back, ensuring she keeps up. Sunlight filters through the leaves of overhanging trees, casting playful shadows on the ground, enhancing the whimsical atmosphere of their joyful stroll.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Constraint Adherence (Static vs. Moving)", "reason_1": "Video 1 completely ignores the 'static camera' instruction, utilizing a backward tracking shot (dolly) that follows the subject.", "reason_2": "Video 2 also fails the 'static camera' instruction, utilizing a similar backward tracking movement to keep the subject centered.", "score_1": 5, "score_2": 5}, {"name": "Subject Attribute Fidelity (Attire & Features)", "reason_1": "Video 1 renders the yellow raincoat and red boots with high-quality texture and realistic folds. The girl's curly hair is distinct and detailed.", "reason_2": "Video 2 includes the correct colors, but the raincoat lacks texture definition, appearing flat and plastic-like compared to Video 1.", "score_1": 7, "score_2": 3}, {"name": "Environmental Detail (Flora & Architecture)", "reason_1": "Video 1 accurately depicts the cobblestones, vintage lampposts, and flower boxes with sharp detail.", "reason_2": "Video 2 contains the required elements, but the background details (flowers, buildings) are softer and less defined.", "score_1": 6, "score_2": 4}], "cat_reason": "Both videos fail the 'static camera' constraint, but Video 1 renders the specific attributes (raincoat texture, cobblestone details) with greater fidelity to the 'storybook' description.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with clear definition in the hair strands, fabric textures, and stone surfaces.", "reason_2": "The overall image is soft and lacks high-frequency detail, giving it a lower-resolution appearance.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity & Facial Stability", "reason_1": "The girl's face remains consistent and recognizable throughout the clip, maintaining a pleasant expression.", "reason_2": "The girl's facial features shift and morph slightly between frames, lacking the temporal consistency of Video 1.", "score_1": 7, "score_2": 3}, {"name": "Motion Physics (Gait & Grounding)", "reason_1": "The walking motion feels relatively grounded, though there is some minor foot sliding.", "reason_2": "The motion feels 'floaty,' with the subjects appearing to glide over the cobblestones rather than step on them.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 is significantly sharper and more stable. Video 2 suffers from a 'soft' focus look and noticeable morphing of the girl's facial features.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Sunlight & Shadows)", "reason_1": "Video 1 successfully renders the 'sunlight filtering through leaves' and 'playful shadows' requested in the prompt, creating depth.", "reason_2": "Video 2 has flat, even lighting that fails to capture the dynamic shadows or the specific atmospheric mood described.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are vibrant and well-balanced, enhancing the 'charming' and 'storybook' aesthetic.", "reason_2": "The color palette is somewhat washed out and lacks the vibrancy seen in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "The clip looks like a high-quality cinematic production with professional color grading.", "reason_2": "The clip resembles a lower-quality generation with less artistic merit.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'whimsical' and 'picturesque' atmosphere much better through superior lighting and color grading.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates superior visual fidelity, texture rendering, and lighting quality compared to Video 2. While both videos fail the 'static camera' constraint (both utilize a backward tracking shot), Video 1 excels in capturing the 'storybook' atmosphere with sharper details, more realistic clothing textures, and better lighting effects. Video 2 suffers from lower resolution, facial instability, and a flatter color palette.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 62.0, "total_score_2": 28.0, "elapsed_sec": 56.423} +{"pair_id": "022_seed_310", "sample_index": 22, "seed": 310, "prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_310_A close-up view reveals an elegantly set restauran.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_310_A close-up view reveals an elegantly set restauran.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_310_A close-up view reveals an elegantly set restauran.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_310_A close-up view reveals an elegantly set restauran.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Steak & Fries)\", \"reason_1\": \"The steak in Video 1 is rendered with a realistic 'glistening glaze' and char, and the fries appear golden and crispy as requested.\", \"reason_2\": \"The steak in Video 2 appears dry with artificial white speckles (resembling snow or noise) rather than Parmesan, and the fries lack the requested crispy texture.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Scene Completeness & Spatial Logic\", \"reason_1\": \"Video 1 presents a cohesive table setting where the steak, salad, bread, and wine are arranged logically in a single frame.\", \"reason_2\": \"Video 2 fragments the scene into disjointed close-ups, making it difficult to perceive the spatial relationship between the bread basket, the steak, and the wine.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Lighting (Candle Glow)\", \"reason_1\": \"Video 1 successfully integrates the flickering candle to cast a warm, ambient glow over the entire table, matching the prompt's mood.\", \"reason_2\": \"Video 2 features a candle, but the lighting feels flatter and less integrated into the scene's overall atmosphere.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts all requested food items with the correct textures and attributes in a single, logical arrangement. Video 2 struggles with the specific attributes of the steak and the spatial relationship between items.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Realism & Materiality\", \"reason_1\": \"The textures of the meat, bread, and glass in Video 1 are indistinguishable from reality.\", \"reason_2\": \"The food in Video 2 has a smooth, plastic-like appearance typical of lower-quality AI generation, lacking organic detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Stability & Focus\", \"reason_1\": \"Video 1 maintains perfect stability and focus throughout the clip.\", \"reason_2\": \"Video 2 suffers from aggressive and erratic focus breathing, causing the image to blur and shift uncomfortably.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is crisp, sharp, and high-resolution.\", \"reason_2\": \"The video is soft, blurry, and lacks definition, particularly on the food items.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 achieves photorealistic quality with stable visuals. Video 2 exhibits significant AI artifacts, unnatural textures, and distracting focus hunting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, capturing the 'sumptuous feast' effectively with a pleasing angle.\", \"reason_2\": \"The framing is awkward, cutting off parts of the food and jumping between angles without a clear focal point.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Appetizing Appeal\", \"reason_1\": \"The food looks delicious and inviting, fulfilling the aesthetic goal of a food showcase.\", \"reason_2\": \"The artificial look and strange textures make the food appear unappetizing.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera is static, which is safe but lacks dynamic interest.\", \"reason_2\": \"Video 2 attempts camera movement (pans/tilts), but the execution is jerky and disorienting, detracting from the viewing experience.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 offers a professional, appetizing composition suitable for a food commercial. Video 2's chaotic camera work and poor framing reduce its aesthetic value.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism, accurate rendering of food textures, and logical spatial arrangement of the table setting. It perfectly captures the 'glistening' steak and 'crispy' fries described in the prompt. Video 2, while attempting camera movement, suffers from artificial textures, erratic focus shifts, and a disjointed composition that fails to present the feast cohesively.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Steak & Fries)", "reason_1": "The steak in Video 1 is rendered with a realistic 'glistening glaze' and char, and the fries appear golden and crispy as requested.", "reason_2": "The steak in Video 2 appears dry with artificial white speckles (resembling snow or noise) rather than Parmesan, and the fries lack the requested crispy texture.", "score_1": 9, "score_2": 1}, {"name": "Scene Completeness & Spatial Logic", "reason_1": "Video 1 presents a cohesive table setting where the steak, salad, bread, and wine are arranged logically in a single frame.", "reason_2": "Video 2 fragments the scene into disjointed close-ups, making it difficult to perceive the spatial relationship between the bread basket, the steak, and the wine.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Lighting (Candle Glow)", "reason_1": "Video 1 successfully integrates the flickering candle to cast a warm, ambient glow over the entire table, matching the prompt's mood.", "reason_2": "Video 2 features a candle, but the lighting feels flatter and less integrated into the scene's overall atmosphere.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts all requested food items with the correct textures and attributes in a single, logical arrangement. Video 2 struggles with the specific attributes of the steak and the spatial relationship between items.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Realism & Materiality", "reason_1": "The textures of the meat, bread, and glass in Video 1 are indistinguishable from reality.", "reason_2": "The food in Video 2 has a smooth, plastic-like appearance typical of lower-quality AI generation, lacking organic detail.", "score_1": 9, "score_2": 1}, {"name": "Temporal Stability & Focus", "reason_1": "Video 1 maintains perfect stability and focus throughout the clip.", "reason_2": "Video 2 suffers from aggressive and erratic focus breathing, causing the image to blur and shift uncomfortably.", "score_1": 9, "score_2": 1}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is crisp, sharp, and high-resolution.", "reason_2": "The video is soft, blurry, and lacks definition, particularly on the food items.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 achieves photorealistic quality with stable visuals. Video 2 exhibits significant AI artifacts, unnatural textures, and distracting focus hunting.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is balanced, capturing the 'sumptuous feast' effectively with a pleasing angle.", "reason_2": "The framing is awkward, cutting off parts of the food and jumping between angles without a clear focal point.", "score_1": 8, "score_2": 2}, {"name": "Appetizing Appeal", "reason_1": "The food looks delicious and inviting, fulfilling the aesthetic goal of a food showcase.", "reason_2": "The artificial look and strange textures make the food appear unappetizing.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Quality", "reason_1": "The camera is static, which is safe but lacks dynamic interest.", "reason_2": "Video 2 attempts camera movement (pans/tilts), but the execution is jerky and disorienting, detracting from the viewing experience.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 offers a professional, appetizing composition suitable for a food commercial. Video 2's chaotic camera work and poor framing reduce its aesthetic value.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism, accurate rendering of food textures, and logical spatial arrangement of the table setting. It perfectly captures the 'glistening' steak and 'crispy' fries described in the prompt. Video 2, while attempting camera movement, suffers from artificial textures, erratic focus shifts, and a disjointed composition that fails to present the feast cohesively.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 56.27} +{"pair_id": "025_seed_42", "sample_index": 25, "seed": 42, "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_42_In a sun-drenched backyard a lively group of frien.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Anatomical Logic (Human & Animal)\", \"reason_1\": \"Video 1 fails catastrophically; faces are severely distorted, melting, and terrifying, and the dog appears as a glitchy, unrecognizable blob.\", \"reason_2\": \"Video 2 renders human faces and the dog with high realism and correct anatomy, maintaining their structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Specificity (Frisbee Interaction)\", \"reason_1\": \"Video 1 attempts to show the frisbee toss in the background, but the motion is floaty and the objects are ill-defined.\", \"reason_2\": \"Video 2 depicts the frisbee toss clearly in the background with realistic physics and distinct object separation.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Sun-drenched Backyard)\", \"reason_1\": \"Video 1 captures the backyard setting but the lighting is flat and the textures are muddy.\", \"reason_2\": \"Video 2 perfectly captures the 'sun-drenched' and 'golden sunlight' description with vibrant lighting and clear environmental details.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders the human subjects and the dog with anatomical correctness, whereas Video 1 fails to generate recognizable human faces or a coherent dog.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"Video 1 exhibits extreme morphing; subjects' faces and bodies warp and melt continuously, breaking all immersion.\", \"reason_2\": \"Video 2 maintains excellent temporal stability; subject identities and shapes remain consistent across all frames.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image in Video 1 is blurry, low-resolution, and filled with generation artifacts.\", \"reason_2\": \"Video 2 is sharp, high-definition, and clear, with distinct textures on clothing and the environment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Motion in Video 1 is jerky and unnatural, with objects appearing to float or merge rather than move physically.\", \"reason_2\": \"Video 2 displays smooth, natural motion for both the camera pan and the subjects' movements.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is a high-quality generation with stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Tone (Joy vs. Uncanny)\", \"reason_1\": \"Due to the facial distortions, Video 1 evokes a feeling of horror or unease, completely missing the 'effortless joy' requested.\", \"reason_2\": \"Video 2 successfully conveys a warm, happy, and social atmosphere consistent with a friendly backyard gathering.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Motion (Pan Execution)\", \"reason_1\": \"The camera movement in Video 1 is shaky and disorienting.\", \"reason_2\": \"Video 2 executes a smooth, cinematic pan that effectively connects the different groups of friends.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to the grotesque distortions of the subjects.\", \"reason_2\": \"The video is aesthetically pleasing, with good color grading, lighting, and composition.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully captures the joyful mood requested by the prompt. Video 1 creates an unintentional horror effect due to the distortions.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates vastly superior visual fidelity, temporal stability, and anatomical logic. While Video 1 suffers from severe morphological distortions (melting faces, unrecognizable limbs) that create a disturbing 'uncanny valley' effect, Video 2 delivers a coherent, high-resolution scene with realistic human subjects, a clearly defined dog, and smooth camera movement that perfectly matches the requested joyful atmosphere.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Anatomical Logic (Human & Animal)", "reason_1": "Video 1 fails catastrophically; faces are severely distorted, melting, and terrifying, and the dog appears as a glitchy, unrecognizable blob.", "reason_2": "Video 2 renders human faces and the dog with high realism and correct anatomy, maintaining their structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Action Specificity (Frisbee Interaction)", "reason_1": "Video 1 attempts to show the frisbee toss in the background, but the motion is floaty and the objects are ill-defined.", "reason_2": "Video 2 depicts the frisbee toss clearly in the background with realistic physics and distinct object separation.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Sun-drenched Backyard)", "reason_1": "Video 1 captures the backyard setting but the lighting is flat and the textures are muddy.", "reason_2": "Video 2 perfectly captures the 'sun-drenched' and 'golden sunlight' description with vibrant lighting and clear environmental details.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders the human subjects and the dog with anatomical correctness, whereas Video 1 fails to generate recognizable human faces or a coherent dog.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "Video 1 exhibits extreme morphing; subjects' faces and bodies warp and melt continuously, breaking all immersion.", "reason_2": "Video 2 maintains excellent temporal stability; subject identities and shapes remain consistent across all frames.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image in Video 1 is blurry, low-resolution, and filled with generation artifacts.", "reason_2": "Video 2 is sharp, high-definition, and clear, with distinct textures on clothing and the environment.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "Motion in Video 1 is jerky and unnatural, with objects appearing to float or merge rather than move physically.", "reason_2": "Video 2 displays smooth, natural motion for both the camera pan and the subjects' movements.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is a high-quality generation with stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Tone (Joy vs. Uncanny)", "reason_1": "Due to the facial distortions, Video 1 evokes a feeling of horror or unease, completely missing the 'effortless joy' requested.", "reason_2": "Video 2 successfully conveys a warm, happy, and social atmosphere consistent with a friendly backyard gathering.", "score_1": 1, "score_2": 9}, {"name": "Camera Motion (Pan Execution)", "reason_1": "The camera movement in Video 1 is shaky and disorienting.", "reason_2": "Video 2 executes a smooth, cinematic pan that effectively connects the different groups of friends.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to the grotesque distortions of the subjects.", "reason_2": "The video is aesthetically pleasing, with good color grading, lighting, and composition.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully captures the joyful mood requested by the prompt. Video 1 creates an unintentional horror effect due to the distortions.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates vastly superior visual fidelity, temporal stability, and anatomical logic. While Video 1 suffers from severe morphological distortions (melting faces, unrecognizable limbs) that create a disturbing 'uncanny valley' effect, Video 2 delivers a coherent, high-resolution scene with realistic human subjects, a clearly defined dog, and smooth camera movement that perfectly matches the requested joyful atmosphere.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 56.318} +{"pair_id": "027_seed_930", "sample_index": 27, "seed": 930, "prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_027_seed_930_A lively group of Asian teenagers dressed in vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics (Age Group)\", \"reason_1\": \"Video 1 depicts subjects that appear to be primary school children (approx. 8-10 years old), which contradicts the prompt's request for 'teenagers'.\", \"reason_2\": \"Video 2 correctly depicts subjects that appear to be teenagers or young adults, aligning well with the prompt's demographic requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Dynamics (Agility & Footwork)\", \"reason_1\": \"The subjects in Video 1 are largely static, standing behind the net with minimal movement, failing to capture the 'swift movements' or 'darting' described.\", \"reason_2\": \"Video 2 captures the subjects leaning in, moving their bodies, and engaging in active play, much closer to the 'agile footwork' and 'intense game' requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmosphere & Emotional Tone\", \"reason_1\": \"Video 1 has a pleasant atmosphere but lacks the 'intense' and 'spirited' energy requested, feeling more like a casual practice.\", \"reason_2\": \"Video 2 successfully conveys high energy, 'concentration and joy', and the 'warm glow' of the sun, matching the prompt's emotional tone.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 aligns much closer to the prompt's specific requirements regarding the subjects' age and the intensity of the action.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Lighting\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and the image lacks the cinematic depth and 'warm glow' seen in the comparison.\", \"reason_2\": \"Video 2 features superior lighting with a distinct warm, sunny atmosphere and better depth of field, enhancing the realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Morphological Stability (Faces & Hands)\", \"reason_1\": \"Video 1 maintains relatively stable facial features and body shapes throughout the clip, with fewer obvious distortions.\", \"reason_2\": \"Video 2 suffers from noticeable morphing and distortion, particularly in the faces of the subjects during rapid movements.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"The motion in Video 1 is stiff and lacks the fluidity of real human movement.\", \"reason_2\": \"Despite some artifacts, the motion in Video 2 is fluid and energetic, better simulating the physics of a fast-paced sport.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Although Video 2 has some stability issues, its visual fidelity, lighting, and motion fluidity are superior to the static nature of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a standard, flat medium shot that feels uninspired and documentary-like.\", \"reason_2\": \"Video 2 utilizes dynamic angles, shallow depth of field, and closer framing to create a more engaging and cinematic look.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Energy (Spirited Match)\", \"reason_1\": \"The clip feels like a passive observation rather than a 'spirited match'.\", \"reason_2\": \"The clip successfully conveys the narrative of a competitive, fun, and intense game among friends.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Grading & Aesthetic Style\", \"reason_1\": \"The colors are natural but lack the 'vibrant' and 'warm' stylization requested.\", \"reason_2\": \"The color grading is vibrant and warm, effectively highlighting the sportswear and the outdoor setting.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a much more cinematic and aesthetically pleasing presentation that matches the 'vibrant' and 'lively' descriptors.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it accurately depicts the requested 'teenagers' and captures the 'intense', 'lively' energy and 'warm glow' described in the prompt. Video 1 fails significantly on the subject age (depicting young children instead of teenagers) and lacks the dynamic movement and spirited atmosphere required, presenting a static and passive scene.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of Asian teenagers, dressed in vibrant sportswear, engage in an intense game of table tennis on an outdoor court surrounded by lush greenery. The camera captures their swift movements and agile footwork as they dart around the table, their expressions a mix of concentration and joy. The sun casts a warm glow, highlighting the beads of sweat on their foreheads, emphasizing their dedication and energy. Their laughter and shouts of encouragement echo in the air, showcasing their strong team dynamics. The scene shifts to a close-up of a paddle striking the ball, capturing the precision and skill involved in their spirited match.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics (Age Group)", "reason_1": "Video 1 depicts subjects that appear to be primary school children (approx. 8-10 years old), which contradicts the prompt's request for 'teenagers'.", "reason_2": "Video 2 correctly depicts subjects that appear to be teenagers or young adults, aligning well with the prompt's demographic requirement.", "score_1": 2, "score_2": 8}, {"name": "Action Dynamics (Agility & Footwork)", "reason_1": "The subjects in Video 1 are largely static, standing behind the net with minimal movement, failing to capture the 'swift movements' or 'darting' described.", "reason_2": "Video 2 captures the subjects leaning in, moving their bodies, and engaging in active play, much closer to the 'agile footwork' and 'intense game' requested.", "score_1": 2, "score_2": 8}, {"name": "Atmosphere & Emotional Tone", "reason_1": "Video 1 has a pleasant atmosphere but lacks the 'intense' and 'spirited' energy requested, feeling more like a casual practice.", "reason_2": "Video 2 successfully conveys high energy, 'concentration and joy', and the 'warm glow' of the sun, matching the prompt's emotional tone.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 aligns much closer to the prompt's specific requirements regarding the subjects' age and the intensity of the action.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Lighting", "reason_1": "The lighting in Video 1 is somewhat flat and the image lacks the cinematic depth and 'warm glow' seen in the comparison.", "reason_2": "Video 2 features superior lighting with a distinct warm, sunny atmosphere and better depth of field, enhancing the realism.", "score_1": 3, "score_2": 7}, {"name": "Morphological Stability (Faces & Hands)", "reason_1": "Video 1 maintains relatively stable facial features and body shapes throughout the clip, with fewer obvious distortions.", "reason_2": "Video 2 suffers from noticeable morphing and distortion, particularly in the faces of the subjects during rapid movements.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity & Physics", "reason_1": "The motion in Video 1 is stiff and lacks the fluidity of real human movement.", "reason_2": "Despite some artifacts, the motion in Video 2 is fluid and energetic, better simulating the physics of a fast-paced sport.", "score_1": 4, "score_2": 6}], "cat_reason": "Although Video 2 has some stability issues, its visual fidelity, lighting, and motion fluidity are superior to the static nature of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a standard, flat medium shot that feels uninspired and documentary-like.", "reason_2": "Video 2 utilizes dynamic angles, shallow depth of field, and closer framing to create a more engaging and cinematic look.", "score_1": 3, "score_2": 7}, {"name": "Narrative Energy (Spirited Match)", "reason_1": "The clip feels like a passive observation rather than a 'spirited match'.", "reason_2": "The clip successfully conveys the narrative of a competitive, fun, and intense game among friends.", "score_1": 2, "score_2": 8}, {"name": "Color Grading & Aesthetic Style", "reason_1": "The colors are natural but lack the 'vibrant' and 'warm' stylization requested.", "reason_2": "The color grading is vibrant and warm, effectively highlighting the sportswear and the outdoor setting.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a much more cinematic and aesthetically pleasing presentation that matches the 'vibrant' and 'lively' descriptors.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it accurately depicts the requested 'teenagers' and captures the 'intense', 'lively' energy and 'warm glow' described in the prompt. Video 1 fails significantly on the subject age (depicting young children instead of teenagers) and lacks the dynamic movement and spirited atmosphere required, presenting a static and passive scene.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 60.199} +{"pair_id": "030_seed_310", "sample_index": 30, "seed": 310, "prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_310_A static camera captures a seamless sequence as a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_310_A static camera captures a seamless sequence as a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_310_A static camera captures a seamless sequence as a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_310_A static camera captures a seamless sequence as a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Sequence Completeness (Enter, Pause, Exit)\", \"reason_1\": \"Video 1 clearly depicts the character entering, pausing to look around, and exiting the frame, fulfilling the core narrative arc.\", \"reason_2\": \"Video 2 shows the character entering and walking, but the video cuts or loops before the character exits or interacts with a second door, failing the prompt's conclusion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Atmosphere (Lighting & Mystery)\", \"reason_1\": \"Video 1 successfully renders a 'dimly lit' room with shadows that evoke the requested 'air of mystery'.\", \"reason_2\": \"Video 2 is too bright and evenly lit, resembling a standard daytime interior rather than a mysterious, dimly lit scene.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes & Action Specificity\", \"reason_1\": \"The subject in Video 1 wears the correct attire and performs the specific 'glancing around' action described.\", \"reason_2\": \"While the attire is correct, the subject in Video 2 simply walks past the furniture without the specific searching behavior requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the full sequence of events and the specific atmospheric requirements, whereas Video 2 misses the ending and the mood.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 is somewhat soft and grainy, lacking the crisp definition of the furniture and floor textures.\", \"reason_2\": \"Video 2 displays high-resolution textures on the armchair and floor, with a very clean, sharp image.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness (Gait & Weight)\", \"reason_1\": \"The character in Video 1 moves with a natural weight and cadence appropriate for someone walking in a coat.\", \"reason_2\": \"The character in Video 2 has a slightly stiff, 'gliding' motion that feels less grounded in physical reality.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Temporal Stability (Consistency)\", \"reason_1\": \"Video 1 maintains subject consistency well throughout the clip.\", \"reason_2\": \"Video 2 is also very stable with no flickering or morphing artifacts.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 offers superior image sharpness and texture definition, although Video 1 has more natural motion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Mood & Tone\", \"reason_1\": \"Video 1 perfectly nails the noir/mystery aesthetic with its color grading and shadow play.\", \"reason_2\": \"Video 2 lacks emotional resonance or specific mood, appearing flat and clinical.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses the doorway effectively to frame the subject, enhancing the sense of voyeurism and mystery.\", \"reason_2\": \"Video 2 uses a standard, flat composition that is functional but artistically uninspired.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Pacing & Flow\", \"reason_1\": \"The pacing in Video 1 allows for the 'pause' and 'search' to feel deliberate and significant.\", \"reason_2\": \"Video 2 feels rushed and incomplete, lacking the narrative beats required to tell the story.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 excels in creating a cinematic mood that aligns with the prompt's mystery theme, whereas Video 2 feels sterile.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the complete narrative arc (enter, pause/search, exit) and successfully establishes the requested 'dimly lit' and 'mysterious' atmosphere. Video 2, while having higher texture resolution, fails to capture the correct lighting mood (appearing too bright) and fails to depict the character exiting the room or interacting with a second door as requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Sequence Completeness (Enter, Pause, Exit)", "reason_1": "Video 1 clearly depicts the character entering, pausing to look around, and exiting the frame, fulfilling the core narrative arc.", "reason_2": "Video 2 shows the character entering and walking, but the video cuts or loops before the character exits or interacts with a second door, failing the prompt's conclusion.", "score_1": 9, "score_2": 1}, {"name": "Environmental Atmosphere (Lighting & Mystery)", "reason_1": "Video 1 successfully renders a 'dimly lit' room with shadows that evoke the requested 'air of mystery'.", "reason_2": "Video 2 is too bright and evenly lit, resembling a standard daytime interior rather than a mysterious, dimly lit scene.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes & Action Specificity", "reason_1": "The subject in Video 1 wears the correct attire and performs the specific 'glancing around' action described.", "reason_2": "While the attire is correct, the subject in Video 2 simply walks past the furniture without the specific searching behavior requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the full sequence of events and the specific atmospheric requirements, whereas Video 2 misses the ending and the mood.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 is somewhat soft and grainy, lacking the crisp definition of the furniture and floor textures.", "reason_2": "Video 2 displays high-resolution textures on the armchair and floor, with a very clean, sharp image.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness (Gait & Weight)", "reason_1": "The character in Video 1 moves with a natural weight and cadence appropriate for someone walking in a coat.", "reason_2": "The character in Video 2 has a slightly stiff, 'gliding' motion that feels less grounded in physical reality.", "score_1": 7, "score_2": 3}, {"name": "Temporal Stability (Consistency)", "reason_1": "Video 1 maintains subject consistency well throughout the clip.", "reason_2": "Video 2 is also very stable with no flickering or morphing artifacts.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 offers superior image sharpness and texture definition, although Video 1 has more natural motion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Mood & Tone", "reason_1": "Video 1 perfectly nails the noir/mystery aesthetic with its color grading and shadow play.", "reason_2": "Video 2 lacks emotional resonance or specific mood, appearing flat and clinical.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses the doorway effectively to frame the subject, enhancing the sense of voyeurism and mystery.", "reason_2": "Video 2 uses a standard, flat composition that is functional but artistically uninspired.", "score_1": 7, "score_2": 3}, {"name": "Narrative Pacing & Flow", "reason_1": "The pacing in Video 1 allows for the 'pause' and 'search' to feel deliberate and significant.", "reason_2": "Video 2 feels rushed and incomplete, lacking the narrative beats required to tell the story.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 excels in creating a cinematic mood that aligns with the prompt's mystery theme, whereas Video 2 feels sterile.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the complete narrative arc (enter, pause/search, exit) and successfully establishes the requested 'dimly lit' and 'mysterious' atmosphere. Video 2, while having higher texture resolution, fails to capture the correct lighting mood (appearing too bright) and fails to depict the character exiting the room or interacting with a second door as requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 57.335} +{"pair_id": "033_seed_42", "sample_index": 33, "seed": 42, "prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_42_A charming Japanese actress wearing a pastel pink.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_42_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_42_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_42_A charming Japanese actress wearing a pastel pink.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Chopping & Stirring)\", \"reason_1\": \"Video 1 depicts the chopping action clearly, though it misses the 'stirring' action (the subject only looks at the pot).\", \"reason_2\": \"Video 2 also depicts chopping but fails to show the subject stirring the pot. The chopping motion is slightly less distinct than in Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Context (Tradition & Modernity)\", \"reason_1\": \"Video 1 depicts a modern kitchen setting, missing the 'tradition' aspect of the prompt's requested atmosphere.\", \"reason_2\": \"Video 2 successfully integrates a traditional Japanese room (tatami, shoji screens) with modern cooking elements, perfectly matching the 'harmonious blend' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attributes (Attire & Expression)\", \"reason_1\": \"Video 1 accurately renders the pastel pink apron, white blouse, and joyful expression.\", \"reason_2\": \"Video 2 also accurately renders the requested clothing and the subject's charming demeanor.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 better captures the environmental context of 'tradition and modernity' and the 'cozy' atmosphere, whereas Video 1 feels more like a generic modern kitchen.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Interaction Physics (Knife & Hands)\", \"reason_1\": \"The interaction between the knife, hands, and vegetables is physically grounded and realistic.\", \"reason_2\": \"The knife in Video 2 frequently clips through the vegetables and the cutting board, breaking physical plausibility.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Hands & Fingers)\", \"reason_1\": \"The subject's hands maintain their structure throughout the chopping motion.\", \"reason_2\": \"The fingers in Video 2 tend to blur and morph slightly during the rapid movement of chopping.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The video is sharp, with clear definition of the ingredients and utensils.\", \"reason_2\": \"The video has a softer focus, which aids the atmosphere but results in less definition of the cooking details.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 is technically superior with stable object interactions. Video 2 suffers from noticeable clipping and morphing issues with the knife and hands.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Mood\", \"reason_1\": \"The lighting is bright and functional, resembling a cooking tutorial rather than a 'cozy, warmly-lit' cinematic scene.\", \"reason_2\": \"The lighting is soft, warm, and ambient, perfectly evoking the 'inviting atmosphere' and 'serene setting' described.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The composition is flat and frontal, lacking depth.\", \"reason_2\": \"The shot utilizes depth of field and a wider angle to show the room's context, creating a more cinematic look.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Stylistic Interpretation (Cherry Blossoms)\", \"reason_1\": \"The decorations are present but look like standard wall stickers.\", \"reason_2\": \"The cherry blossoms are integrated more artistically, hanging from above, which enhances the 'delicate' aesthetic.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 excels in creating the requested mood, utilizing lighting and composition to evoke the 'inviting' and 'serene' atmosphere described in the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the overall winner because it successfully captures the specific atmospheric and environmental requirements of the prompt—specifically the 'harmonious blend of tradition and modernity' and the 'cozy, warmly-lit' mood. While Video 1 is technically more stable with fewer physics artifacts, it presents a generic modern kitchen that lacks the requested traditional context. Video 2's superior aesthetic composition and lighting create the inviting narrative requested, outweighing its minor technical imperfections.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Chopping & Stirring)", "reason_1": "Video 1 depicts the chopping action clearly, though it misses the 'stirring' action (the subject only looks at the pot).", "reason_2": "Video 2 also depicts chopping but fails to show the subject stirring the pot. The chopping motion is slightly less distinct than in Video 1.", "score_1": 6, "score_2": 4}, {"name": "Environmental Context (Tradition & Modernity)", "reason_1": "Video 1 depicts a modern kitchen setting, missing the 'tradition' aspect of the prompt's requested atmosphere.", "reason_2": "Video 2 successfully integrates a traditional Japanese room (tatami, shoji screens) with modern cooking elements, perfectly matching the 'harmonious blend' description.", "score_1": 3, "score_2": 7}, {"name": "Subject Attributes (Attire & Expression)", "reason_1": "Video 1 accurately renders the pastel pink apron, white blouse, and joyful expression.", "reason_2": "Video 2 also accurately renders the requested clothing and the subject's charming demeanor.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 better captures the environmental context of 'tradition and modernity' and the 'cozy' atmosphere, whereas Video 1 feels more like a generic modern kitchen.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Interaction Physics (Knife & Hands)", "reason_1": "The interaction between the knife, hands, and vegetables is physically grounded and realistic.", "reason_2": "The knife in Video 2 frequently clips through the vegetables and the cutting board, breaking physical plausibility.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Hands & Fingers)", "reason_1": "The subject's hands maintain their structure throughout the chopping motion.", "reason_2": "The fingers in Video 2 tend to blur and morph slightly during the rapid movement of chopping.", "score_1": 7, "score_2": 3}, {"name": "Visual Clarity & Sharpness", "reason_1": "The video is sharp, with clear definition of the ingredients and utensils.", "reason_2": "The video has a softer focus, which aids the atmosphere but results in less definition of the cooking details.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 is technically superior with stable object interactions. Video 2 suffers from noticeable clipping and morphing issues with the knife and hands.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Mood", "reason_1": "The lighting is bright and functional, resembling a cooking tutorial rather than a 'cozy, warmly-lit' cinematic scene.", "reason_2": "The lighting is soft, warm, and ambient, perfectly evoking the 'inviting atmosphere' and 'serene setting' described.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition & Depth", "reason_1": "The composition is flat and frontal, lacking depth.", "reason_2": "The shot utilizes depth of field and a wider angle to show the room's context, creating a more cinematic look.", "score_1": 3, "score_2": 7}, {"name": "Stylistic Interpretation (Cherry Blossoms)", "reason_1": "The decorations are present but look like standard wall stickers.", "reason_2": "The cherry blossoms are integrated more artistically, hanging from above, which enhances the 'delicate' aesthetic.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 excels in creating the requested mood, utilizing lighting and composition to evoke the 'inviting' and 'serene' atmosphere described in the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the overall winner because it successfully captures the specific atmospheric and environmental requirements of the prompt—specifically the 'harmonious blend of tradition and modernity' and the 'cozy, warmly-lit' mood. While Video 1 is technically more stable with fewer physics artifacts, it presents a generic modern kitchen that lacks the requested traditional context. Video 2's superior aesthetic composition and lighting create the inviting narrative requested, outweighing its minor technical imperfections.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 45.0, "total_score_2": 45.0, "elapsed_sec": 58.072} +{"pair_id": "035_seed_930", "sample_index": 35, "seed": 930, "prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_035_seed_930_A joyful Chinese family gathers in a warmly lit li.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Exchanging Envelopes)\", \"reason_1\": \"Video 1 depicts the family members holding red envelopes, but the interaction is static and lacks the dynamic 'exchanging' motion described.\", \"reason_2\": \"Video 2 clearly depicts the active motion of passing and receiving red envelopes, aligning perfectly with the prompt's instruction to 'exchange' them.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attributes (Attire & Appearance)\", \"reason_1\": \"The subjects in Video 1 are dressed in generic, plain clothing that does not strongly evoke the 'traditional attire' requested.\", \"reason_2\": \"Video 2 features subjects in patterned, culturally distinct clothing that aligns much better with the description of 'traditional attire' for a Lunar New Year celebration.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Detail (Decorations)\", \"reason_1\": \"Video 1 includes lanterns but the background is somewhat sparse and generic.\", \"reason_2\": \"Video 2 features a wall densely decorated with intricate paper knots and red ornaments, better fulfilling the prompt's request for 'intricate paper decorations'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific details of the prompt—such as the intricate decorations and the active exchange of envelopes—much more effectively than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"Video 1 exhibits severe distortion; the faces of the subjects morph, melt, and lose structural integrity as they move, creating a disturbing uncanny valley effect.\", \"reason_2\": \"Video 2 maintains consistent facial structures and expressions throughout the clip, with no noticeable warping or melting.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Object Physics & Interaction\", \"reason_1\": \"The red envelopes in Video 1 appear to float or merge with hands, lacking physical weight and logical interaction.\", \"reason_2\": \"The envelopes in Video 2 follow logical trajectories during the exchange, interacting naturally with the hands of the subjects.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Texture\", \"reason_1\": \"The image in Video 1 is softer and lacks definition, particularly in the food and clothing textures.\", \"reason_2\": \"Video 2 is sharper, with distinct textures visible on the roasted turkey and the fabric of the clothing.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This is the deciding category. Video 1 fails significantly due to severe facial hallucinations and morphing, whereas Video 2 remains stable and coherent.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity\", \"reason_1\": \"Due to the facial distortions, the intended 'joyful' emotion comes across as eerie and unnatural.\", \"reason_2\": \"The subjects display genuine, stable smiles and laughter, effectively conveying the 'warmth and togetherness' requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is functional but feels a bit cluttered and lacks a clear focal point for the interaction.\", \"reason_2\": \"The composition centers the table and the exchange action well, creating a balanced and engaging visual narrative.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Lighting\", \"reason_1\": \"Video 1 successfully captures the 'warmly lit' and 'soft glow' atmosphere described in the prompt.\", \"reason_2\": \"Video 2 also succeeds in creating a warm, festive lighting environment that enhances the celebratory mood.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 successfully conveys the intended mood of joy and celebration, whereas the visual artifacts in Video 1 detract from the aesthetic appeal.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior temporal stability and semantic accuracy. While Video 1 suffers from severe facial morphing and distortion that creates an uncanny effect, Video 2 maintains consistent subject identities and realistic expressions. Furthermore, Video 2 accurately depicts the specific action of 'exchanging' envelopes and features more culturally distinct attire and decorations, whereas Video 1 is largely static and generic.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A joyful Chinese family gathers in a warmly lit living room adorned with vibrant red lanterns and intricate paper decorations, symbolizing prosperity and good fortune. The camera captures the moment they sit around a beautifully set table, sharing a sumptuous Lunar New Year feast featuring a golden-brown turkey, symbolizing abundance. The family members, dressed in traditional attire, exchange red envelopes filled with lucky money, their faces glowing with happiness and laughter. The room is filled with the aroma of delicious dishes, and the soft glow of lanterns casts a festive ambiance, enhancing the warmth and togetherness of this cherished celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Exchanging Envelopes)", "reason_1": "Video 1 depicts the family members holding red envelopes, but the interaction is static and lacks the dynamic 'exchanging' motion described.", "reason_2": "Video 2 clearly depicts the active motion of passing and receiving red envelopes, aligning perfectly with the prompt's instruction to 'exchange' them.", "score_1": 3, "score_2": 7}, {"name": "Subject Attributes (Attire & Appearance)", "reason_1": "The subjects in Video 1 are dressed in generic, plain clothing that does not strongly evoke the 'traditional attire' requested.", "reason_2": "Video 2 features subjects in patterned, culturally distinct clothing that aligns much better with the description of 'traditional attire' for a Lunar New Year celebration.", "score_1": 3, "score_2": 7}, {"name": "Environmental Detail (Decorations)", "reason_1": "Video 1 includes lanterns but the background is somewhat sparse and generic.", "reason_2": "Video 2 features a wall densely decorated with intricate paper knots and red ornaments, better fulfilling the prompt's request for 'intricate paper decorations'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific details of the prompt—such as the intricate decorations and the active exchange of envelopes—much more effectively than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "Video 1 exhibits severe distortion; the faces of the subjects morph, melt, and lose structural integrity as they move, creating a disturbing uncanny valley effect.", "reason_2": "Video 2 maintains consistent facial structures and expressions throughout the clip, with no noticeable warping or melting.", "score_1": 1, "score_2": 9}, {"name": "Object Physics & Interaction", "reason_1": "The red envelopes in Video 1 appear to float or merge with hands, lacking physical weight and logical interaction.", "reason_2": "The envelopes in Video 2 follow logical trajectories during the exchange, interacting naturally with the hands of the subjects.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Texture", "reason_1": "The image in Video 1 is softer and lacks definition, particularly in the food and clothing textures.", "reason_2": "Video 2 is sharper, with distinct textures visible on the roasted turkey and the fabric of the clothing.", "score_1": 4, "score_2": 6}], "cat_reason": "This is the deciding category. Video 1 fails significantly due to severe facial hallucinations and morphing, whereas Video 2 remains stable and coherent.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity", "reason_1": "Due to the facial distortions, the intended 'joyful' emotion comes across as eerie and unnatural.", "reason_2": "The subjects display genuine, stable smiles and laughter, effectively conveying the 'warmth and togetherness' requested.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is functional but feels a bit cluttered and lacks a clear focal point for the interaction.", "reason_2": "The composition centers the table and the exchange action well, creating a balanced and engaging visual narrative.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Lighting", "reason_1": "Video 1 successfully captures the 'warmly lit' and 'soft glow' atmosphere described in the prompt.", "reason_2": "Video 2 also succeeds in creating a warm, festive lighting environment that enhances the celebratory mood.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 successfully conveys the intended mood of joy and celebration, whereas the visual artifacts in Video 1 detract from the aesthetic appeal.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior temporal stability and semantic accuracy. While Video 1 suffers from severe facial morphing and distortion that creates an uncanny effect, Video 2 maintains consistent subject identities and realistic expressions. Furthermore, Video 2 accurately depicts the specific action of 'exchanging' envelopes and features more culturally distinct attire and decorations, whereas Video 1 is largely static and generic.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 58.872} +{"pair_id": "038_seed_310", "sample_index": 38, "seed": 310, "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_310_An Indigenous Australian family gathers under a st.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_310_An Indigenous Australian family gathers under a st.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_310_An Indigenous Australian family gathers under a st.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_310_An Indigenous Australian family gathers under a st.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Cultural Specificity\", \"reason_1\": \"Video 1 depicts a family that appears ethnically ambiguous, resembling a mix of South Asian and Latin American features, failing the specific 'Indigenous Australian' constraint.\", \"reason_2\": \"Video 2 accurately depicts subjects with distinct Indigenous Australian features and styling, aligning perfectly with the prompt's core subject requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Fulfillment (Storytelling & Nodding)\", \"reason_1\": \"The subjects in Video 1 are completely static; there is no storytelling, nodding, or interaction, failing the prompt's narrative action requirements.\", \"reason_2\": \"Video 2 shows the elder gesturing and the younger adult nodding and smiling, effectively capturing the 'sharing stories' and 'nodding in appreciation' actions.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Bushland & Fire)\", \"reason_1\": \"Video 1 features a generic dark background that lacks the specific 'bushland' texture requested.\", \"reason_2\": \"Video 2 includes visible trees and vegetation in the background, better establishing the 'surrounding bushland' context.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly identifies and renders the specific ethnic demographics requested, whereas Video 1 generates a generic or ethnically ambiguous group. Video 2 also attempts the specific actions described in the prompt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Magnitude & Fluidity\", \"reason_1\": \"Video 1 is functionally a still image with a fire overlay; the human subjects are frozen, lacking any dynamic realism.\", \"reason_2\": \"Video 2 features full-body motion, head turns, and facial expressions, providing a realistic video experience.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"Video 1 is perfectly stable, but only because it does not move. It avoids artifacts by avoiding motion.\", \"reason_2\": \"Video 2 suffers from noticeable morphing and distortion, particularly on the faces of the children and the elder, which fluctuate during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Shadow Dynamics\", \"reason_1\": \"The lighting in Video 1 is static and does not interact dynamically with the subjects' faces.\", \"reason_2\": \"Video 2 successfully renders the 'flickering shadows' and 'firelight dances' on the subjects' faces as they move.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Although Video 2 has some stability issues, it is a true video with character motion. Video 1 fails this category by being a static image with a simple fire loop, lacking dynamic realism entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression & Connection\", \"reason_1\": \"The subjects in Video 1 have blank, frozen stares that convey no emotion or connection.\", \"reason_2\": \"Video 2 captures the 'eyes wide with wonder' and the warmth of the gathering through active facial expressions and engagement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Intimacy & Warmth)\", \"reason_1\": \"The static nature of Video 1 makes the scene feel staged and artificial rather than intimate.\", \"reason_2\": \"The movement and interaction in Video 2 create a genuine sense of a living, breathing family gathering.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"Video 1 has a clean, balanced composition with good color contrast.\", \"reason_2\": \"Video 2 has a decent composition, though slightly cluttered by the motion artifacts, but effectively frames the circle.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 conveys the emotional warmth and connection described in the prompt through active expressions and interaction, whereas Video 1 feels cold and lifeless due to its static nature.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully generates a dynamic video with actual character movement, storytelling gestures, and emotional expressions that align with the prompt. Video 1, while visually clean, is essentially a static image with a fire overlay (cinemagraph) and fails to depict the requested actions or the specific Indigenous Australian ethnicity, appearing more generic.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Cultural Specificity", "reason_1": "Video 1 depicts a family that appears ethnically ambiguous, resembling a mix of South Asian and Latin American features, failing the specific 'Indigenous Australian' constraint.", "reason_2": "Video 2 accurately depicts subjects with distinct Indigenous Australian features and styling, aligning perfectly with the prompt's core subject requirement.", "score_1": 2, "score_2": 8}, {"name": "Action Fulfillment (Storytelling & Nodding)", "reason_1": "The subjects in Video 1 are completely static; there is no storytelling, nodding, or interaction, failing the prompt's narrative action requirements.", "reason_2": "Video 2 shows the elder gesturing and the younger adult nodding and smiling, effectively capturing the 'sharing stories' and 'nodding in appreciation' actions.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Bushland & Fire)", "reason_1": "Video 1 features a generic dark background that lacks the specific 'bushland' texture requested.", "reason_2": "Video 2 includes visible trees and vegetation in the background, better establishing the 'surrounding bushland' context.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly identifies and renders the specific ethnic demographics requested, whereas Video 1 generates a generic or ethnically ambiguous group. Video 2 also attempts the specific actions described in the prompt.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Magnitude & Fluidity", "reason_1": "Video 1 is functionally a still image with a fire overlay; the human subjects are frozen, lacking any dynamic realism.", "reason_2": "Video 2 features full-body motion, head turns, and facial expressions, providing a realistic video experience.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Face & Body)", "reason_1": "Video 1 is perfectly stable, but only because it does not move. It avoids artifacts by avoiding motion.", "reason_2": "Video 2 suffers from noticeable morphing and distortion, particularly on the faces of the children and the elder, which fluctuate during movement.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Shadow Dynamics", "reason_1": "The lighting in Video 1 is static and does not interact dynamically with the subjects' faces.", "reason_2": "Video 2 successfully renders the 'flickering shadows' and 'firelight dances' on the subjects' faces as they move.", "score_1": 3, "score_2": 7}], "cat_reason": "Although Video 2 has some stability issues, it is a true video with character motion. Video 1 fails this category by being a static image with a simple fire loop, lacking dynamic realism entirely.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression & Connection", "reason_1": "The subjects in Video 1 have blank, frozen stares that convey no emotion or connection.", "reason_2": "Video 2 captures the 'eyes wide with wonder' and the warmth of the gathering through active facial expressions and engagement.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Intimacy & Warmth)", "reason_1": "The static nature of Video 1 makes the scene feel staged and artificial rather than intimate.", "reason_2": "The movement and interaction in Video 2 create a genuine sense of a living, breathing family gathering.", "score_1": 3, "score_2": 7}, {"name": "Visual Composition & Framing", "reason_1": "Video 1 has a clean, balanced composition with good color contrast.", "reason_2": "Video 2 has a decent composition, though slightly cluttered by the motion artifacts, but effectively frames the circle.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 conveys the emotional warmth and connection described in the prompt through active expressions and interaction, whereas Video 1 feels cold and lifeless due to its static nature.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully generates a dynamic video with actual character movement, storytelling gestures, and emotional expressions that align with the prompt. Video 1, while visually clean, is essentially a static image with a fire overlay (cinemagraph) and fails to depict the requested actions or the specific Indigenous Australian ethnicity, appearing more generic.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 60.675} +{"pair_id": "041_seed_42", "sample_index": 41, "seed": 42, "prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_42_A lively group of South Asian women adorned in vib.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_42_A lively group of South Asian women adorned in vib.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_42_A lively group of South Asian women adorned in vib.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_42_A lively group of South Asian women adorned in vib.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 features the correct attire, but the textures are muddy and the specific 'shimmer' requested is lost in the blur.\", \"reason_2\": \"Video 2 renders the 'red, gold, and emerald' saris with high distinctness and realistic fabric textures that align perfectly with the prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Graceful Dance)\", \"reason_1\": \"The movement in Video 1 is jerky and unnatural, failing to convey the 'graceful' aspect of the prompt.\", \"reason_2\": \"Video 2 depicts a smooth, rhythmic, and synchronized dance movement that accurately reflects the requested grace.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Crowd & Decor)\", \"reason_1\": \"The background in Video 1 is a vague, blurry wash of colors with no discernible crowd or decorations.\", \"reason_2\": \"Video 2 clearly depicts a 'bustling festival' with a visible, detailed crowd and specific colorful decorations in the background.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the specific details of the prompt—such as the shimmering fabrics, the distinct crowd, and the graceful nature of the dance—much more accurately than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely low resolution, blurry, and lacks fine detail throughout.\", \"reason_2\": \"The video is crisp, high-definition, and maintains sharpness on facial features and clothing details.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Faces & Hands)\", \"reason_1\": \"Faces and hands constantly morph, melt, and distort, creating a disturbing visual effect.\", \"reason_2\": \"Subject identities remain consistent; faces and hands maintain their structure throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion is stuttery and lacks fluidity, resembling a low frame-rate interpolation.\", \"reason_2\": \"The movement is fluid and continuous, mimicking real video footage.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is a high-definition generation with stable temporal consistency, whereas Video 1 is plagued by low resolution, severe artifacts, and morphing subjects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Lighting & Color Vibrancy\", \"reason_1\": \"Colors are present but dull and washed out due to the blur; lighting is flat.\", \"reason_2\": \"The lighting is dynamic, creating the requested 'shimmer' on the saris and enhancing the festive atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is tight and somewhat claustrophobic, cutting off context.\", \"reason_2\": \"The wide shot effectively captures the group dynamic and the scale of the festival environment.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Aesthetic Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy artifacts and distortion.\", \"reason_2\": \"The video is aesthetically pleasing, resembling a professional broadcast or high-quality production.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 offers a professional, cinematic look with vibrant lighting and good composition, while Video 1 lacks aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Cultural Detail & Texture Rendering\", \"dims\": [{\"name\": \"Fabric Texture & Materiality\", \"reason_1\": \"The saris look like colored blobs without discernible fabric weave or weight.\", \"reason_2\": \"The saris exhibit realistic folds, sheen, and material properties consistent with silk or satin.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Accessory Detail (Jewelry)\", \"reason_1\": \"Jewelry is indistinguishable from the skin or clothing due to low fidelity.\", \"reason_2\": \"Bangles and other ornaments are clearly defined and interact realistically with the light and movement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Expression Nuance\", \"reason_1\": \"Facial expressions are distorted and unreadable.\", \"reason_2\": \"The subjects show clear, readable expressions that align with the 'concentration and joy' described in the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category highlights Video 2's superior ability to render the specific cultural elements (jewelry, fabric) requested in the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates vastly superior visual fidelity, temporal stability, and semantic accuracy. It successfully renders the intricate details of the saris, the background crowd, and the synchronized dance movements with high realism. Video 1 suffers from severe blurring, low resolution, and significant morphological distortion (melting faces and hands), failing to meet the quality standards required for a realistic depiction.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 features the correct attire, but the textures are muddy and the specific 'shimmer' requested is lost in the blur.", "reason_2": "Video 2 renders the 'red, gold, and emerald' saris with high distinctness and realistic fabric textures that align perfectly with the prompt.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Graceful Dance)", "reason_1": "The movement in Video 1 is jerky and unnatural, failing to convey the 'graceful' aspect of the prompt.", "reason_2": "Video 2 depicts a smooth, rhythmic, and synchronized dance movement that accurately reflects the requested grace.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Crowd & Decor)", "reason_1": "The background in Video 1 is a vague, blurry wash of colors with no discernible crowd or decorations.", "reason_2": "Video 2 clearly depicts a 'bustling festival' with a visible, detailed crowd and specific colorful decorations in the background.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the specific details of the prompt—such as the shimmering fabrics, the distinct crowd, and the graceful nature of the dance—much more accurately than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely low resolution, blurry, and lacks fine detail throughout.", "reason_2": "The video is crisp, high-definition, and maintains sharpness on facial features and clothing details.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Faces & Hands)", "reason_1": "Faces and hands constantly morph, melt, and distort, creating a disturbing visual effect.", "reason_2": "Subject identities remain consistent; faces and hands maintain their structure throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness", "reason_1": "The motion is stuttery and lacks fluidity, resembling a low frame-rate interpolation.", "reason_2": "The movement is fluid and continuous, mimicking real video footage.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is a high-definition generation with stable temporal consistency, whereas Video 1 is plagued by low resolution, severe artifacts, and morphing subjects.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Lighting & Color Vibrancy", "reason_1": "Colors are present but dull and washed out due to the blur; lighting is flat.", "reason_2": "The lighting is dynamic, creating the requested 'shimmer' on the saris and enhancing the festive atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing is tight and somewhat claustrophobic, cutting off context.", "reason_2": "The wide shot effectively captures the group dynamic and the scale of the festival environment.", "score_1": 3, "score_2": 7}, {"name": "Overall Aesthetic Appeal", "reason_1": "The video is visually unappealing due to heavy artifacts and distortion.", "reason_2": "The video is aesthetically pleasing, resembling a professional broadcast or high-quality production.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 offers a professional, cinematic look with vibrant lighting and good composition, while Video 1 lacks aesthetic appeal due to its technical flaws.", "cat_winner": "Video 2"}, {"name": "D. Cultural Detail & Texture Rendering", "dims": [{"name": "Fabric Texture & Materiality", "reason_1": "The saris look like colored blobs without discernible fabric weave or weight.", "reason_2": "The saris exhibit realistic folds, sheen, and material properties consistent with silk or satin.", "score_1": 2, "score_2": 8}, {"name": "Accessory Detail (Jewelry)", "reason_1": "Jewelry is indistinguishable from the skin or clothing due to low fidelity.", "reason_2": "Bangles and other ornaments are clearly defined and interact realistically with the light and movement.", "score_1": 2, "score_2": 8}, {"name": "Expression Nuance", "reason_1": "Facial expressions are distorted and unreadable.", "reason_2": "The subjects show clear, readable expressions that align with the 'concentration and joy' described in the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category highlights Video 2's superior ability to render the specific cultural elements (jewelry, fabric) requested in the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates vastly superior visual fidelity, temporal stability, and semantic accuracy. It successfully renders the intricate details of the saris, the background crowd, and the synchronized dance movements with high realism. Video 1 suffers from severe blurring, low resolution, and significant morphological distortion (melting faces and hands), failing to meet the quality standards required for a realistic depiction.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 95.0, "elapsed_sec": 68.41} +{"pair_id": "043_seed_930", "sample_index": 43, "seed": 930, "prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_930_A striking close-up reveals an African woman with.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_930_A striking close-up reveals an African woman with.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_043_seed_930_A striking close-up reveals an African woman with.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_043_seed_930_A striking close-up reveals an African woman with.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attribute Fidelity (Braids & Beads)\", \"reason_1\": \"Video 1 renders the braids and beads with high definition, making the 'intricate' and 'meticulous' nature of the craftsmanship visible.\", \"reason_2\": \"Video 2 includes the braids and beads, but the details are often blurred or distorted by the camera movement, reducing the perception of 'craftsmanship'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Expression & Emotional Tone\", \"reason_1\": \"The subject maintains a calm, 'serene' gaze that aligns perfectly with the prompt's request for 'grace and strength'.\", \"reason_2\": \"The subject's expression is somewhat erratic due to the camera shake and morphing, failing to convey the requested serenity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attire Complexity & Texture\", \"reason_1\": \"The 'kaleidoscope of patterns' is rendered with distinct textures and rich colors that remain stable.\", \"reason_2\": \"While the colors are vibrant, the patterns on the clothing warp and shift unnaturally, breaking the illusion of 'traditional craftsmanship'.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 captures the specific emotional and textural requirements of the prompt much better than Video 2. The 'serene expression' and 'meticulously crafted' braids are clearly visible in Video 1, whereas Video 2's chaotic motion obscures these details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Anatomy)\", \"reason_1\": \"The subject's facial structure remains solid and consistent throughout the clip.\", \"reason_2\": \"The subject's face warps significantly; the eyes and mouth distort during movement, creating a disturbing 'uncanny valley' effect.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Persistence (Anti-Flicker)\", \"reason_1\": \"The complex patterns on the clothing remain fixed to the fabric surface without swimming or flickering.\", \"reason_2\": \"The clothing patterns exhibit severe temporal noise, constantly shifting and morphing independently of the fabric's movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The motion is subtle and smooth, maintaining the integrity of the scene.\", \"reason_2\": \"The motion is jerky and disorienting, with the camera movement causing the entire frame to distort.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is stable and coherent. Video 2 exhibits severe 'boiling' textures, facial morphing, and unnatural motion artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is a stable, well-composed close-up that highlights the subject's face and attire effectively.\", \"reason_2\": \"The framing is erratic, with the subject drifting in and out of focus and position in a distracting manner.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Harmony & Color Balance\", \"reason_1\": \"The colors are vibrant yet harmonious, creating a pleasing visual experience.\", \"reason_2\": \"The colors are oversaturated and clash due to the visual noise and artifacts, making the image look messy.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Consistency (Timeless Legacy)\", \"reason_1\": \"The video successfully evokes a sense of dignity and timelessness through its stability and lighting.\", \"reason_2\": \"The glitchy, unstable nature of the video completely breaks the immersion, failing to convey any sense of legacy or grace.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a professional, portrait-like aesthetic that fits the 'timeless cultural legacy' theme. Video 2 feels like a glitchy, low-quality generation due to its chaotic composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior stability, visual fidelity, and adherence to the prompt's request for a 'serene' and 'graceful' presentation. While Video 2 attempts more dynamic motion, it suffers from severe morphological instability, facial distortion, and texture flickering that directly contradict the prompt's demand for 'meticulous craftsmanship' and 'timeless legacy.' Video 1 maintains a consistent, high-quality portrait that effectively showcases the intricate details of the braids and attire without the distracting artifacts present in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking close-up reveals an African woman with intricately braided hair adorned with colorful beads, each braid meticulously crafted, reflecting cultural heritage. Her vibrant attire, a kaleidoscope of patterns and colors, features bold geometric designs and rich textures, showcasing traditional craftsmanship. The camera captures the subtle sheen of her hair, highlighting the artistry in each braid. Her clothing, a tapestry of vivid hues, complements her radiant skin, while the intricate patterns tell stories of ancestral lineage. Her serene expression, framed by the elaborate braids and vibrant fabric, exudes grace and strength, embodying a timeless cultural legacy.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attribute Fidelity (Braids & Beads)", "reason_1": "Video 1 renders the braids and beads with high definition, making the 'intricate' and 'meticulous' nature of the craftsmanship visible.", "reason_2": "Video 2 includes the braids and beads, but the details are often blurred or distorted by the camera movement, reducing the perception of 'craftsmanship'.", "score_1": 7, "score_2": 3}, {"name": "Expression & Emotional Tone", "reason_1": "The subject maintains a calm, 'serene' gaze that aligns perfectly with the prompt's request for 'grace and strength'.", "reason_2": "The subject's expression is somewhat erratic due to the camera shake and morphing, failing to convey the requested serenity.", "score_1": 8, "score_2": 2}, {"name": "Attire Complexity & Texture", "reason_1": "The 'kaleidoscope of patterns' is rendered with distinct textures and rich colors that remain stable.", "reason_2": "While the colors are vibrant, the patterns on the clothing warp and shift unnaturally, breaking the illusion of 'traditional craftsmanship'.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 captures the specific emotional and textural requirements of the prompt much better than Video 2. The 'serene expression' and 'meticulously crafted' braids are clearly visible in Video 1, whereas Video 2's chaotic motion obscures these details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Anatomy)", "reason_1": "The subject's facial structure remains solid and consistent throughout the clip.", "reason_2": "The subject's face warps significantly; the eyes and mouth distort during movement, creating a disturbing 'uncanny valley' effect.", "score_1": 9, "score_2": 1}, {"name": "Texture Persistence (Anti-Flicker)", "reason_1": "The complex patterns on the clothing remain fixed to the fabric surface without swimming or flickering.", "reason_2": "The clothing patterns exhibit severe temporal noise, constantly shifting and morphing independently of the fabric's movement.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Coherence", "reason_1": "The motion is subtle and smooth, maintaining the integrity of the scene.", "reason_2": "The motion is jerky and disorienting, with the camera movement causing the entire frame to distort.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the most significant differentiator. Video 1 is stable and coherent. Video 2 exhibits severe 'boiling' textures, facial morphing, and unnatural motion artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is a stable, well-composed close-up that highlights the subject's face and attire effectively.", "reason_2": "The framing is erratic, with the subject drifting in and out of focus and position in a distracting manner.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Harmony & Color Balance", "reason_1": "The colors are vibrant yet harmonious, creating a pleasing visual experience.", "reason_2": "The colors are oversaturated and clash due to the visual noise and artifacts, making the image look messy.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Consistency (Timeless Legacy)", "reason_1": "The video successfully evokes a sense of dignity and timelessness through its stability and lighting.", "reason_2": "The glitchy, unstable nature of the video completely breaks the immersion, failing to convey any sense of legacy or grace.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a professional, portrait-like aesthetic that fits the 'timeless cultural legacy' theme. Video 2 feels like a glitchy, low-quality generation due to its chaotic composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior stability, visual fidelity, and adherence to the prompt's request for a 'serene' and 'graceful' presentation. While Video 2 attempts more dynamic motion, it suffers from severe morphological instability, facial distortion, and texture flickering that directly contradict the prompt's demand for 'meticulous craftsmanship' and 'timeless legacy.' Video 1 maintains a consistent, high-quality portrait that effectively showcases the intricate details of the braids and attire without the distracting artifacts present in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 68.0, "total_score_2": 22.0, "elapsed_sec": 59.478} +{"pair_id": "046_seed_310", "sample_index": 46, "seed": 310, "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_310_In a softly lit room the camera zooms in on a pair.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_310_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_310_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_310_In a softly lit room the camera zooms in on a pair.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Object Attribute Fidelity (Sleek Black Keyboard)\", \"reason_1\": \"Video 1 generates a keyboard with a strange, textured, almost wooden or metallic side casing that contradicts the 'sleek' descriptor.\", \"reason_2\": \"Video 2 renders a standard, modern, sleek black keyboard that perfectly matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attributes (Nimble Hands & Silver Ring)\", \"reason_1\": \"Video 1 includes the ring, but the hands appear somewhat aged and the motion is less 'nimble' and more jittery.\", \"reason_2\": \"Video 2 depicts smooth, youthful hands that fit the 'nimble' description well, with a clearly visible silver ring.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Dynamics (Blur, Dance, Pause)\", \"reason_1\": \"The motion in Video 1 is erratic and lacks the rhythmic 'dance' quality; the 'blur' appears more like low frame rate or artifacting.\", \"reason_2\": \"Video 2 captures the fluid motion of playing, with a natural sense of speed and dexterity that aligns with the prompt's narrative.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the 'sleek, black keyboard' and the 'nimble' nature of the hands. Video 1 fails on the object description, rendering a keyboard with a strange, textured, non-sleek casing.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Finger Integrity)\", \"reason_1\": \"Video 1 exhibits severe morphing; fingers blend into each other and the keys, losing their structural integrity during movement.\", \"reason_2\": \"Video 2 maintains distinct finger shapes and solid structure throughout the motion, with minimal warping.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Fluidity\", \"reason_1\": \"The movement in Video 1 is jerky and stuttering, lacking the smoothness required for a realistic depiction of typing or playing.\", \"reason_2\": \"Video 2 features smooth, continuous motion that mimics real-world physics and human movement effectively.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"The textures in Video 1 are muddy, particularly on the keyboard surface, which lacks the requested glossiness.\", \"reason_2\": \"Video 2 renders skin texture and the glossy surface of the keys with high clarity and realism.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior stability and realism. Video 1 suffers from significant hallucinations where fingers merge or lose shape, and the motion is unnatural.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Soft & Gentle Shadows)\", \"reason_1\": \"Video 1 has somewhat harsh contrast and the lighting feels artificial, failing to evoke the 'softly lit' atmosphere.\", \"reason_2\": \"Video 2 utilizes warm, soft lighting that creates gentle shadows, perfectly matching the 'focused creativity' mood.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The combination of the strange keyboard texture and morphing hands makes Video 1 visually unappealing and distracting.\", \"reason_2\": \"Video 2 is aesthetically pleasing, with a professional look that could pass for stock footage.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable, but the angle highlights the flaws in the keyboard generation.\", \"reason_2\": \"The framing focuses well on the hands and keys, utilizing depth of field to draw attention to the action.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully creates the 'atmosphere of focused creativity' through warm, soft lighting and clean composition. Video 1 feels darker and less inviting.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully renders the 'sleek, black keyboard' and maintains high anatomical consistency for the hands. Video 1 generates a keyboard with a bizarre, textured casing that contradicts the 'sleek' prompt requirement and suffers from severe morphological instability (melting fingers) and jerky motion.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Object Attribute Fidelity (Sleek Black Keyboard)", "reason_1": "Video 1 generates a keyboard with a strange, textured, almost wooden or metallic side casing that contradicts the 'sleek' descriptor.", "reason_2": "Video 2 renders a standard, modern, sleek black keyboard that perfectly matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Subject Attributes (Nimble Hands & Silver Ring)", "reason_1": "Video 1 includes the ring, but the hands appear somewhat aged and the motion is less 'nimble' and more jittery.", "reason_2": "Video 2 depicts smooth, youthful hands that fit the 'nimble' description well, with a clearly visible silver ring.", "score_1": 4, "score_2": 6}, {"name": "Action Dynamics (Blur, Dance, Pause)", "reason_1": "The motion in Video 1 is erratic and lacks the rhythmic 'dance' quality; the 'blur' appears more like low frame rate or artifacting.", "reason_2": "Video 2 captures the fluid motion of playing, with a natural sense of speed and dexterity that aligns with the prompt's narrative.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the 'sleek, black keyboard' and the 'nimble' nature of the hands. Video 1 fails on the object description, rendering a keyboard with a strange, textured, non-sleek casing.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Finger Integrity)", "reason_1": "Video 1 exhibits severe morphing; fingers blend into each other and the keys, losing their structural integrity during movement.", "reason_2": "Video 2 maintains distinct finger shapes and solid structure throughout the motion, with minimal warping.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Fluidity", "reason_1": "The movement in Video 1 is jerky and stuttering, lacking the smoothness required for a realistic depiction of typing or playing.", "reason_2": "Video 2 features smooth, continuous motion that mimics real-world physics and human movement effectively.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "The textures in Video 1 are muddy, particularly on the keyboard surface, which lacks the requested glossiness.", "reason_2": "Video 2 renders skin texture and the glossy surface of the keys with high clarity and realism.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior stability and realism. Video 1 suffers from significant hallucinations where fingers merge or lose shape, and the motion is unnatural.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Soft & Gentle Shadows)", "reason_1": "Video 1 has somewhat harsh contrast and the lighting feels artificial, failing to evoke the 'softly lit' atmosphere.", "reason_2": "Video 2 utilizes warm, soft lighting that creates gentle shadows, perfectly matching the 'focused creativity' mood.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The combination of the strange keyboard texture and morphing hands makes Video 1 visually unappealing and distracting.", "reason_2": "Video 2 is aesthetically pleasing, with a professional look that could pass for stock footage.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable, but the angle highlights the flaws in the keyboard generation.", "reason_2": "The framing focuses well on the hands and keys, utilizing depth of field to draw attention to the action.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully creates the 'atmosphere of focused creativity' through warm, soft lighting and clean composition. Video 1 feels darker and less inviting.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully renders the 'sleek, black keyboard' and maintains high anatomical consistency for the hands. Video 1 generates a keyboard with a bizarre, textured casing that contradicts the 'sleek' prompt requirement and suffers from severe morphological instability (melting fingers) and jerky motion.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 57.283} +{"pair_id": "049_seed_42", "sample_index": 49, "seed": 42, "prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_42_In a serene softly lit room the camera remains fix.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_42_In a serene softly lit room the camera remains fix.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_42_In a serene softly lit room the camera remains fix.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_42_In a serene softly lit room the camera remains fix.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Temporal Emotional Progression\", \"reason_1\": \"Video 1 clearly depicts the requested sequence: starting with a smile and transitioning into sorrow/tears.\", \"reason_2\": \"Video 2 fails completely to show the initial state of joy; the character is crying and grimacing from the very first frame.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Initial State Fidelity (Joy & Smile)\", \"reason_1\": \"Video 1 explicitly renders the 'lips curling into a genuine smile' and 'eyes sparkling with joy' as the starting point.\", \"reason_2\": \"Video 2 ignores the instruction for a happy start, presenting a subject in deep distress immediately.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Transition Specificity (Shadow/Fade)\", \"reason_1\": \"Video 1 captures the 'sudden' nature of the shift, though the 'shadow' is interpreted as a stylistic fade rather than a lighting change.\", \"reason_2\": \"Video 2 lacks a distinct transition event; the emotion is static and continuous throughout the clip.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 followed the chronological instructions of the prompt, whereas Video 2 ignored the first half of the prompt entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 utilizes a flat, 2D anime art style with limited texture detail.\", \"reason_2\": \"Video 2 features high-quality photorealistic textures, skin details, and lighting.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Facial Muscle Dynamics\", \"reason_1\": \"The facial movement in Video 1 is somewhat mechanical, relying on simple shape morphing.\", \"reason_2\": \"Video 2 displays complex, realistic micro-movements of the face associated with crying.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The character's features remain consistent within the anime style.\", \"reason_2\": \"The actor's identity is perfectly preserved throughout the clip.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior technical generation capabilities with photorealistic textures and fluid motion, whereas Video 1 is a simpler 2D animation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Arc Completeness\", \"reason_1\": \"Video 1 tells the complete micro-story of a mood shift from happy to sad.\", \"reason_2\": \"Video 2 lacks a narrative arc, presenting only a single emotional state.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Lighting (Sunlit vs. Soft)\", \"reason_1\": \"Video 1 incorporates a bright, lens-flare aesthetic that aligns with the 'sunlit landscape' metaphor in the prompt.\", \"reason_2\": \"Video 2 uses standard indoor lighting which, while realistic, misses the specific 'sunlit' atmospheric cue.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Impact & Poignancy\", \"reason_1\": \"The contrast between the smile and the tears in Video 1 creates the requested 'poignant stillness'.\", \"reason_2\": \"While the crying is realistic, the lack of emotional contrast reduces the specific poignant impact requested by the prompt.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 successfully conveys the requested narrative arc and atmospheric lighting, while Video 2 feels like a static stock clip of sadness.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner because it accurately executes the specific temporal narrative requested in the prompt: starting with joy and transitioning to sorrow. Video 2, while photorealistic, completely fails the semantic requirement of the initial state, depicting a character who is already crying and distressed from the very first frame, ignoring the instruction for a 'genuine smile' and 'sparkling joy'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Temporal Emotional Progression", "reason_1": "Video 1 clearly depicts the requested sequence: starting with a smile and transitioning into sorrow/tears.", "reason_2": "Video 2 fails completely to show the initial state of joy; the character is crying and grimacing from the very first frame.", "score_1": 9, "score_2": 1}, {"name": "Initial State Fidelity (Joy & Smile)", "reason_1": "Video 1 explicitly renders the 'lips curling into a genuine smile' and 'eyes sparkling with joy' as the starting point.", "reason_2": "Video 2 ignores the instruction for a happy start, presenting a subject in deep distress immediately.", "score_1": 9, "score_2": 1}, {"name": "Transition Specificity (Shadow/Fade)", "reason_1": "Video 1 captures the 'sudden' nature of the shift, though the 'shadow' is interpreted as a stylistic fade rather than a lighting change.", "reason_2": "Video 2 lacks a distinct transition event; the emotion is static and continuous throughout the clip.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 followed the chronological instructions of the prompt, whereas Video 2 ignored the first half of the prompt entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture", "reason_1": "Video 1 utilizes a flat, 2D anime art style with limited texture detail.", "reason_2": "Video 2 features high-quality photorealistic textures, skin details, and lighting.", "score_1": 2, "score_2": 8}, {"name": "Facial Muscle Dynamics", "reason_1": "The facial movement in Video 1 is somewhat mechanical, relying on simple shape morphing.", "reason_2": "Video 2 displays complex, realistic micro-movements of the face associated with crying.", "score_1": 3, "score_2": 7}, {"name": "Subject Identity Persistence", "reason_1": "The character's features remain consistent within the anime style.", "reason_2": "The actor's identity is perfectly preserved throughout the clip.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior technical generation capabilities with photorealistic textures and fluid motion, whereas Video 1 is a simpler 2D animation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Arc Completeness", "reason_1": "Video 1 tells the complete micro-story of a mood shift from happy to sad.", "reason_2": "Video 2 lacks a narrative arc, presenting only a single emotional state.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Lighting (Sunlit vs. Soft)", "reason_1": "Video 1 incorporates a bright, lens-flare aesthetic that aligns with the 'sunlit landscape' metaphor in the prompt.", "reason_2": "Video 2 uses standard indoor lighting which, while realistic, misses the specific 'sunlit' atmospheric cue.", "score_1": 7, "score_2": 3}, {"name": "Emotional Impact & Poignancy", "reason_1": "The contrast between the smile and the tears in Video 1 creates the requested 'poignant stillness'.", "reason_2": "While the crying is realistic, the lack of emotional contrast reduces the specific poignant impact requested by the prompt.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 successfully conveys the requested narrative arc and atmospheric lighting, while Video 2 feels like a static stock clip of sadness.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner because it accurately executes the specific temporal narrative requested in the prompt: starting with joy and transitioning to sorrow. Video 2, while photorealistic, completely fails the semantic requirement of the initial state, depicting a character who is already crying and distressed from the very first frame, ignoring the instruction for a 'genuine smile' and 'sparkling joy'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 57.0, "total_score_2": 33.0, "elapsed_sec": 53.573} +{"pair_id": "051_seed_930", "sample_index": 51, "seed": 930, "prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_051_seed_930_In the golden glow of sunset a young womans face i.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Delicate Features)\", \"reason_1\": \"Video 1 renders the subject with harsh, reddish skin tones and visible blemishes, failing to capture the 'delicate' attribute requested.\", \"reason_2\": \"Video 2 renders the subject with smooth, soft skin and delicate features, aligning perfectly with the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Expression Nuance (Trembling Lips)\", \"reason_1\": \"The mouth movement in Video 1 is somewhat erratic and lacks the specific 'subtle tremble' requested, appearing more like a generic open-mouthed expression.\", \"reason_2\": \"Video 2 captures a very subtle, realistic micro-movement of the lips that effectively conveys the 'storm within' without exaggeration.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Lighting (Golden Glow)\", \"reason_1\": \"Video 1 has a warm tone, but the lighting feels flat and lacks the dynamic 'play of light and shadow' described.\", \"reason_2\": \"Video 2 features a rich, cinematic golden hour lighting setup that creates depth and highlights the contours of the face effectively.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the 'delicate features' and 'subtle' trembling described in the prompt. Video 1 fails the 'delicate' descriptor due to harsh skin rendering and the 'subtle' descriptor due to erratic mouth movements.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Visual Fidelity\", \"reason_1\": \"The skin texture in Video 1 is noisy and blotchy, resembling a low-quality generation with visible artifacts.\", \"reason_2\": \"Video 2 displays high-resolution skin texture with realistic pores and lighting interaction, maintaining a photorealistic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Fluid Physics (Tear Realism)\", \"reason_1\": \"The tear in Video 1 appears as a static, opaque white streak that looks painted on rather than a liquid.\", \"reason_2\": \"Video 2 renders the tear with appropriate transparency, reflection, and wetness, looking physically plausible.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 exhibits slight warping around the mouth and eyes during movement.\", \"reason_2\": \"Video 2 maintains excellent structural integrity of the facial features throughout the clip.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior technical execution with high-fidelity skin texture and realistic fluid physics. Video 1 suffers from low-quality texture generation and unrealistic tear rendering.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"The harsh visuals and awkward expression in Video 1 detract significantly from the intended poignant mood.\", \"reason_2\": \"Video 2 successfully evokes a sense of vulnerability and raw emotion through soft lighting and a convincing performance.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing in Video 1 is extremely tight and feels slightly claustrophobic.\", \"reason_2\": \"Video 2 uses a balanced close-up that allows the viewer to appreciate the lighting and expression without feeling cramped.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually unappealing due to the redness of the skin and the artificial look of the tear.\", \"reason_2\": \"Video 2 is aesthetically pleasing, resembling a high-quality film shot with beautiful color grading.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 creates a genuinely poignant and cinematic moment that matches the emotional weight of the prompt. Video 1 feels more like a technical test with less artistic merit.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully captures the 'delicate' and 'poignant' aesthetic required by the prompt with high visual fidelity. It renders realistic skin texture, convincing lighting, and subtle emotional micro-expressions. Video 1, conversely, suffers from harsh, blotchy skin textures, unnatural tear rendering, and exaggerated mouth movements that detract from the requested subtlety.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In the golden glow of sunset, a young woman's face is captured in a close-up, her delicate features bathed in soft, warm light. Her eyes, shimmering with unshed tears, reflect a deep well of emotion, while her lips tremble subtly, betraying the storm within. As the camera gently zooms in, every nuance of her expression becomes more pronounced, highlighting the intricate play of light and shadow across her skin. The focus narrows to her tear-filled eyes, where the sunset's hues dance, encapsulating a poignant moment of vulnerability and raw emotion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Delicate Features)", "reason_1": "Video 1 renders the subject with harsh, reddish skin tones and visible blemishes, failing to capture the 'delicate' attribute requested.", "reason_2": "Video 2 renders the subject with smooth, soft skin and delicate features, aligning perfectly with the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Expression Nuance (Trembling Lips)", "reason_1": "The mouth movement in Video 1 is somewhat erratic and lacks the specific 'subtle tremble' requested, appearing more like a generic open-mouthed expression.", "reason_2": "Video 2 captures a very subtle, realistic micro-movement of the lips that effectively conveys the 'storm within' without exaggeration.", "score_1": 3, "score_2": 7}, {"name": "Environmental Lighting (Golden Glow)", "reason_1": "Video 1 has a warm tone, but the lighting feels flat and lacks the dynamic 'play of light and shadow' described.", "reason_2": "Video 2 features a rich, cinematic golden hour lighting setup that creates depth and highlights the contours of the face effectively.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the 'delicate features' and 'subtle' trembling described in the prompt. Video 1 fails the 'delicate' descriptor due to harsh skin rendering and the 'subtle' descriptor due to erratic mouth movements.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Visual Fidelity", "reason_1": "The skin texture in Video 1 is noisy and blotchy, resembling a low-quality generation with visible artifacts.", "reason_2": "Video 2 displays high-resolution skin texture with realistic pores and lighting interaction, maintaining a photorealistic look.", "score_1": 2, "score_2": 8}, {"name": "Fluid Physics (Tear Realism)", "reason_1": "The tear in Video 1 appears as a static, opaque white streak that looks painted on rather than a liquid.", "reason_2": "Video 2 renders the tear with appropriate transparency, reflection, and wetness, looking physically plausible.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "Video 1 exhibits slight warping around the mouth and eyes during movement.", "reason_2": "Video 2 maintains excellent structural integrity of the facial features throughout the clip.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior technical execution with high-fidelity skin texture and realistic fluid physics. Video 1 suffers from low-quality texture generation and unrealistic tear rendering.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Mood", "reason_1": "The harsh visuals and awkward expression in Video 1 detract significantly from the intended poignant mood.", "reason_2": "Video 2 successfully evokes a sense of vulnerability and raw emotion through soft lighting and a convincing performance.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition & Framing", "reason_1": "The framing in Video 1 is extremely tight and feels slightly claustrophobic.", "reason_2": "Video 2 uses a balanced close-up that allows the viewer to appreciate the lighting and expression without feeling cramped.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually unappealing due to the redness of the skin and the artificial look of the tear.", "reason_2": "Video 2 is aesthetically pleasing, resembling a high-quality film shot with beautiful color grading.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 creates a genuinely poignant and cinematic moment that matches the emotional weight of the prompt. Video 1 feels more like a technical test with less artistic merit.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully captures the 'delicate' and 'poignant' aesthetic required by the prompt with high visual fidelity. It renders realistic skin texture, convincing lighting, and subtle emotional micro-expressions. Video 1, conversely, suffers from harsh, blotchy skin textures, unnatural tear rendering, and exaggerated mouth movements that detract from the requested subtlety.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 56.995} +{"pair_id": "054_seed_310", "sample_index": 54, "seed": 310, "prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_310_A charismatic public figure stands at a podium pas.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_310_A charismatic public figure stands at a podium pas.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_310_A charismatic public figure stands at a podium pas.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_310_A charismatic public figure stands at a podium pas.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Setting Fidelity\", \"reason_1\": \"Video 1 presents a cartoon character in a simplified, flat background, which contradicts the implied realism of a 'grand hall' speech.\", \"reason_2\": \"Video 2 accurately depicts a charismatic figure in a realistic grand hall with appropriate lighting and depth.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Audience Reaction Specificity\", \"reason_1\": \"Video 1 shows a generic, static crowd with no discernible specific reactions like crying or head-shaking.\", \"reason_2\": \"Video 2 clearly shows the 'older man' with crossed arms and a skeptical expression, aligning well with the prompt's specific character details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement Logic\", \"reason_1\": \"Video 1 utilizes a simple 2D pan that lacks the cinematic 'shift' described in the prompt.\", \"reason_2\": \"Video 2 executes the requested shift from the speaker to the audience with a cinematic pan that reveals the crowd's depth.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 correctly interprets the prompt as a realistic cinematic scene, capturing the speaker's intensity and the specific body language of the audience (crossed arms, skepticism). Video 1 fails to match the implied realism and lacks the specific character details requested.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Style & Texture Realism\", \"reason_1\": \"Video 1 is a flat, vector-style animation with no texture or realistic lighting.\", \"reason_2\": \"Video 2 features high-quality textures, realistic skin tones, and cinematic lighting.\", \"score_1\": 0, \"score_2\": 10}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"Video 1 maintains perfect consistency of the character's design throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe identity loss; the speaker's face morphs significantly between the start and end of the clip.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"Video 1 has stiff, limited animation typical of basic 2D cartoons.\", \"reason_2\": \"Video 2 displays naturalistic human movement and camera physics.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Despite suffering from significant identity instability (morphing), Video 2 offers high-fidelity photorealism and fluid motion. Video 1 is a low-complexity animation that lacks texture and dynamic realism.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Atmosphere\", \"reason_1\": \"Video 1 feels emotionally flat and comedic due to the cartoon style, missing the 'profound impact' entirely.\", \"reason_2\": \"Video 2 successfully conveys the 'palpable tension' and 'fervor' through lighting and facial expressions.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses flat, uninspired framing typical of simple animation.\", \"reason_2\": \"Video 2 uses depth of field and framing to focus attention effectively on the speaker and then the crowd.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 feels like a static loop with no narrative progression or reaction shots.\", \"reason_2\": \"Video 2 follows the narrative arc: speaker speaks -> camera moves -> audience reacts.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'palpable tension' and 'profound impact' requested by the prompt through effective lighting and composition. Video 1 lacks emotional weight due to its cartoon style.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it adheres to the implicit photorealistic and cinematic nature of the prompt, successfully depicting the grand hall, the speaker's intensity, and the specific reactions of the audience (such as the skeptical older man). Video 1 interprets the prompt as a flat 2D cartoon, which fails to capture the requested emotional gravity, lighting, or specific character details.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Setting Fidelity", "reason_1": "Video 1 presents a cartoon character in a simplified, flat background, which contradicts the implied realism of a 'grand hall' speech.", "reason_2": "Video 2 accurately depicts a charismatic figure in a realistic grand hall with appropriate lighting and depth.", "score_1": 1, "score_2": 9}, {"name": "Audience Reaction Specificity", "reason_1": "Video 1 shows a generic, static crowd with no discernible specific reactions like crying or head-shaking.", "reason_2": "Video 2 clearly shows the 'older man' with crossed arms and a skeptical expression, aligning well with the prompt's specific character details.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement Logic", "reason_1": "Video 1 utilizes a simple 2D pan that lacks the cinematic 'shift' described in the prompt.", "reason_2": "Video 2 executes the requested shift from the speaker to the audience with a cinematic pan that reveals the crowd's depth.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 correctly interprets the prompt as a realistic cinematic scene, capturing the speaker's intensity and the specific body language of the audience (crossed arms, skepticism). Video 1 fails to match the implied realism and lacks the specific character details requested.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Style & Texture Realism", "reason_1": "Video 1 is a flat, vector-style animation with no texture or realistic lighting.", "reason_2": "Video 2 features high-quality textures, realistic skin tones, and cinematic lighting.", "score_1": 0, "score_2": 10}, {"name": "Subject Identity Persistence", "reason_1": "Video 1 maintains perfect consistency of the character's design throughout the clip.", "reason_2": "Video 2 suffers from severe identity loss; the speaker's face morphs significantly between the start and end of the clip.", "score_1": 8, "score_2": 2}, {"name": "Motion Fluidity & Physics", "reason_1": "Video 1 has stiff, limited animation typical of basic 2D cartoons.", "reason_2": "Video 2 displays naturalistic human movement and camera physics.", "score_1": 2, "score_2": 8}], "cat_reason": "Despite suffering from significant identity instability (morphing), Video 2 offers high-fidelity photorealism and fluid motion. Video 1 is a low-complexity animation that lacks texture and dynamic realism.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Atmosphere", "reason_1": "Video 1 feels emotionally flat and comedic due to the cartoon style, missing the 'profound impact' entirely.", "reason_2": "Video 2 successfully conveys the 'palpable tension' and 'fervor' through lighting and facial expressions.", "score_1": 1, "score_2": 9}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses flat, uninspired framing typical of simple animation.", "reason_2": "Video 2 uses depth of field and framing to focus attention effectively on the speaker and then the crowd.", "score_1": 1, "score_2": 9}, {"name": "Narrative Progression", "reason_1": "Video 1 feels like a static loop with no narrative progression or reaction shots.", "reason_2": "Video 2 follows the narrative arc: speaker speaks -> camera moves -> audience reacts.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'palpable tension' and 'profound impact' requested by the prompt through effective lighting and composition. Video 1 lacks emotional weight due to its cartoon style.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it adheres to the implicit photorealistic and cinematic nature of the prompt, successfully depicting the grand hall, the speaker's intensity, and the specific reactions of the audience (such as the skeptical older man). Video 1 interprets the prompt as a flat 2D cartoon, which fails to capture the requested emotional gravity, lighting, or specific character details.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 56.153} +{"pair_id": "057_seed_42", "sample_index": 57, "seed": 42, "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_42_In a vibrant park setting two distinct communities.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dual-Group Distinction (Traditional vs. Modern)\", \"reason_1\": \"Video 1 clearly separates the visual elements, placing a central figure in a sleek black outfit (modern) surrounded by a distinct group in colorful, traditional garb.\", \"reason_2\": \"Video 2 fails to separate the groups; the 'modern' dancers are dressed in casual street clothes (jeans/t-shirts) rather than 'sleek contemporary outfits,' and the distinction is lost in the crowd.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Instrumental Specificity (Drums & Flutes)\", \"reason_1\": \"Video 1 explicitly renders the requested instruments, showing characters holding and playing large drums and flutes.\", \"reason_2\": \"Video 2 shows characters making drumming motions, but the instruments themselves are often malformed or missing, and no flutes are clearly visible.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Interaction & Fusion Logic\", \"reason_1\": \"Video 1 depicts the 'fusion' by having the modern dancer perform in the center of the traditional group, creating a clear visual narrative of mingling.\", \"reason_2\": \"Video 2 shows a general crowd dancing, but lacks the specific narrative beat of two distinct groups coming together to teach or exchange steps.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately identifies and renders the specific attributes requested, such as the 'sleek contemporary outfits' and the presence of both drums and flutes, whereas Video 2 fails to distinguish the groups clearly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The main characters in Video 1 maintain their facial features and clothing details consistently throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe identity loss; faces morph into unrecognizable shapes, and clothing textures shift randomly between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Stability (Instruments)\", \"reason_1\": \"The drums and flutes in Video 1 remain solid and recognizable objects despite the motion.\", \"reason_2\": \"The drums in Video 2 frequently melt into the dancers' bodies or the ground, lacking physical permanence.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity & Coherence\", \"reason_1\": \"The dance movements in Video 1 are relatively smooth and follow a logical rhythm.\", \"reason_2\": \"Video 2 exhibits jerky, unnatural motion with significant ghosting and blurring artifacts.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains a much higher level of temporal stability. Video 2 is plagued by severe artifacts, including morphing faces and melting objects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Contrast & Color Harmony\", \"reason_1\": \"Video 1 effectively uses color contrast (black vs. vibrant colors) to highlight the theme of 'tradition vs. modernity' requested in the prompt.\", \"reason_2\": \"Video 2 has a washed-out, oversaturated look with no clear color strategy to differentiate the subjects.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Focal Point\", \"reason_1\": \"Video 1 utilizes a strong central composition that draws the eye to the 'modern' dancer, anchoring the narrative.\", \"reason_2\": \"Video 2 lacks a clear focal point, presenting a chaotic wide shot where the viewer's eye wanders without a subject to latch onto.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Vibrancy\", \"reason_1\": \"The lighting and setting in Video 1 feel more cinematic and intentionally 'vibrant' as requested.\", \"reason_2\": \"Video 2 feels flat and artificial, lacking the depth and lighting quality to convey a festive atmosphere effectively.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 presents a composed, aesthetically pleasing shot that highlights the contrast between the subjects, whereas Video 2 is cluttered and visually confusing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully visualizes the core semantic conflict of the prompt: the contrast between 'sleek, contemporary outfits' and 'colorful, traditional attire.' It maintains distinct character identities and clearly renders the specific instruments (drums and flutes) requested. Video 2 suffers from severe temporal instability, with faces and objects morphing constantly, and fails to clearly distinguish the two communities, presenting a generic crowd instead of the specific cultural fusion described.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dual-Group Distinction (Traditional vs. Modern)", "reason_1": "Video 1 clearly separates the visual elements, placing a central figure in a sleek black outfit (modern) surrounded by a distinct group in colorful, traditional garb.", "reason_2": "Video 2 fails to separate the groups; the 'modern' dancers are dressed in casual street clothes (jeans/t-shirts) rather than 'sleek contemporary outfits,' and the distinction is lost in the crowd.", "score_1": 8, "score_2": 2}, {"name": "Instrumental Specificity (Drums & Flutes)", "reason_1": "Video 1 explicitly renders the requested instruments, showing characters holding and playing large drums and flutes.", "reason_2": "Video 2 shows characters making drumming motions, but the instruments themselves are often malformed or missing, and no flutes are clearly visible.", "score_1": 9, "score_2": 1}, {"name": "Interaction & Fusion Logic", "reason_1": "Video 1 depicts the 'fusion' by having the modern dancer perform in the center of the traditional group, creating a clear visual narrative of mingling.", "reason_2": "Video 2 shows a general crowd dancing, but lacks the specific narrative beat of two distinct groups coming together to teach or exchange steps.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately identifies and renders the specific attributes requested, such as the 'sleek contemporary outfits' and the presence of both drums and flutes, whereas Video 2 fails to distinguish the groups clearly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The main characters in Video 1 maintain their facial features and clothing details consistently throughout the clip.", "reason_2": "Video 2 suffers from severe identity loss; faces morph into unrecognizable shapes, and clothing textures shift randomly between frames.", "score_1": 8, "score_2": 2}, {"name": "Object Stability (Instruments)", "reason_1": "The drums and flutes in Video 1 remain solid and recognizable objects despite the motion.", "reason_2": "The drums in Video 2 frequently melt into the dancers' bodies or the ground, lacking physical permanence.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity & Coherence", "reason_1": "The dance movements in Video 1 are relatively smooth and follow a logical rhythm.", "reason_2": "Video 2 exhibits jerky, unnatural motion with significant ghosting and blurring artifacts.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains a much higher level of temporal stability. Video 2 is plagued by severe artifacts, including morphing faces and melting objects.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Contrast & Color Harmony", "reason_1": "Video 1 effectively uses color contrast (black vs. vibrant colors) to highlight the theme of 'tradition vs. modernity' requested in the prompt.", "reason_2": "Video 2 has a washed-out, oversaturated look with no clear color strategy to differentiate the subjects.", "score_1": 8, "score_2": 2}, {"name": "Composition & Focal Point", "reason_1": "Video 1 utilizes a strong central composition that draws the eye to the 'modern' dancer, anchoring the narrative.", "reason_2": "Video 2 lacks a clear focal point, presenting a chaotic wide shot where the viewer's eye wanders without a subject to latch onto.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Vibrancy", "reason_1": "The lighting and setting in Video 1 feel more cinematic and intentionally 'vibrant' as requested.", "reason_2": "Video 2 feels flat and artificial, lacking the depth and lighting quality to convey a festive atmosphere effectively.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 presents a composed, aesthetically pleasing shot that highlights the contrast between the subjects, whereas Video 2 is cluttered and visually confusing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully visualizes the core semantic conflict of the prompt: the contrast between 'sleek, contemporary outfits' and 'colorful, traditional attire.' It maintains distinct character identities and clearly renders the specific instruments (drums and flutes) requested. Video 2 suffers from severe temporal instability, with faces and objects morphing constantly, and fails to clearly distinguish the two communities, presenting a generic crowd instead of the specific cultural fusion described.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 61.056} +{"pair_id": "059_seed_930", "sample_index": 59, "seed": 930, "prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_059_seed_930_A solitary figure sits on the edge of a dimly lit.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Facial Expression & Emotional Specificity\", \"reason_1\": \"Video 1 depicts the subject from behind, completely obscuring the face. It is impossible to see the 'furrowed brows' or 'tear-filled eyes' requested.\", \"reason_2\": \"Video 2 clearly depicts a face with a somber, furrowed expression, aligning well with the prompt's request for a 'canvas of raw emotion'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Elements (Candle & Shadows)\", \"reason_1\": \"Video 1 explicitly includes the 'single flickering candle' and the resulting shadows on the wall, matching the setting description perfectly.\", \"reason_2\": \"Video 2 features dim lighting and shadows but fails to generate the specific 'flickering candle' object mentioned in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Dynamics (Zoom & Pan)\", \"reason_1\": \"Video 1 is a static shot with no camera movement, failing the 'zoom in' and 'pan out' instructions.\", \"reason_2\": \"Video 2 executes a clear camera push/zoom towards the subject, aligning with the 'camera zooms in' instruction.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Action (Clutching Letter)\", \"reason_1\": \"Video 1 shows the subject holding a paper, but the hands are static and do not 'clutch' or tremble.\", \"reason_2\": \"Video 2 shows the subject holding a small object with hands that appear to be in motion, better approximating the 'clutching' action.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the critical facial details and camera movement requested, whereas Video 1 completely hides the subject's face and ignores the camera instructions.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Fluidity & Frame Rate\", \"reason_1\": \"Video 1 has extremely low frame rate, resembling a slideshow of static images rather than a video.\", \"reason_2\": \"Video 2 features smooth, continuous motion consistent with standard video generation.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Style & Texture Realism\", \"reason_1\": \"Video 1 utilizes a flat, 2D anime style which, while valid, lacks the depth and texture implied by the detailed lighting description.\", \"reason_2\": \"Video 2 uses a photorealistic (albeit sepia-toned) style that renders skin texture and lighting depth more effectively.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject is consistent, largely because there is almost no movement to challenge the consistency.\", \"reason_2\": \"The subject's identity remains stable throughout the zoom, with no significant morphing of facial features.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 is a fluid video with realistic motion, while Video 1 is essentially a low-frame-rate slideshow of static images.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"The lack of facial visibility and the static nature of the clip result in a very low emotional impact.\", \"reason_2\": \"The close-up on the sad expression and the somber lighting effectively convey the 'inner conflict' and 'isolation' described.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The composition is flat and lacks cinematic depth.\", \"reason_2\": \"The framing focuses on the subject's emotion, using the zoom to heighten the dramatic tension.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression\", \"reason_1\": \"There is no narrative progression; the scene is frozen in time.\", \"reason_2\": \"The video progresses from a wider shot to a close-up, simulating the narrative beat of focusing on the subject's internal state.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully conveys the emotional weight and narrative progression of the prompt through its composition and camera work.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the superior generation because it successfully renders the specific facial expressions ('furrowed brows', 'raw emotion') and executes the requested camera movement ('zooms in'). Video 1, while containing the candle element, fails to show the subject's face (hiding the required emotion) and lacks any significant motion or camera work, appearing as a static slideshow.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A solitary figure sits on the edge of a dimly lit room, their silhouette partially illuminated by a single flickering candle, casting shadows that dance across the walls. Their face, a canvas of raw emotion, reveals furrowed brows and tear-filled eyes, reflecting the storm within. The camera zooms in, capturing the trembling of their hands as they clutch a crumpled letter, a symbol of their inner conflict. The room's muted colors and sparse furnishings mirror their isolation, while the soft, haunting melody playing in the background underscores their emotional turmoil. As the camera pans out, the individual takes a deep, shuddering breath, their gaze distant, lost in the labyrinth of their thoughts.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Facial Expression & Emotional Specificity", "reason_1": "Video 1 depicts the subject from behind, completely obscuring the face. It is impossible to see the 'furrowed brows' or 'tear-filled eyes' requested.", "reason_2": "Video 2 clearly depicts a face with a somber, furrowed expression, aligning well with the prompt's request for a 'canvas of raw emotion'.", "score_1": 1, "score_2": 9}, {"name": "Environmental Elements (Candle & Shadows)", "reason_1": "Video 1 explicitly includes the 'single flickering candle' and the resulting shadows on the wall, matching the setting description perfectly.", "reason_2": "Video 2 features dim lighting and shadows but fails to generate the specific 'flickering candle' object mentioned in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Dynamics (Zoom & Pan)", "reason_1": "Video 1 is a static shot with no camera movement, failing the 'zoom in' and 'pan out' instructions.", "reason_2": "Video 2 executes a clear camera push/zoom towards the subject, aligning with the 'camera zooms in' instruction.", "score_1": 1, "score_2": 9}, {"name": "Subject Action (Clutching Letter)", "reason_1": "Video 1 shows the subject holding a paper, but the hands are static and do not 'clutch' or tremble.", "reason_2": "Video 2 shows the subject holding a small object with hands that appear to be in motion, better approximating the 'clutching' action.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the critical facial details and camera movement requested, whereas Video 1 completely hides the subject's face and ignores the camera instructions.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Fluidity & Frame Rate", "reason_1": "Video 1 has extremely low frame rate, resembling a slideshow of static images rather than a video.", "reason_2": "Video 2 features smooth, continuous motion consistent with standard video generation.", "score_1": 1, "score_2": 9}, {"name": "Visual Style & Texture Realism", "reason_1": "Video 1 utilizes a flat, 2D anime style which, while valid, lacks the depth and texture implied by the detailed lighting description.", "reason_2": "Video 2 uses a photorealistic (albeit sepia-toned) style that renders skin texture and lighting depth more effectively.", "score_1": 3, "score_2": 7}, {"name": "Subject Identity Persistence", "reason_1": "The subject is consistent, largely because there is almost no movement to challenge the consistency.", "reason_2": "The subject's identity remains stable throughout the zoom, with no significant morphing of facial features.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 is a fluid video with realistic motion, while Video 1 is essentially a low-frame-rate slideshow of static images.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Mood", "reason_1": "The lack of facial visibility and the static nature of the clip result in a very low emotional impact.", "reason_2": "The close-up on the sad expression and the somber lighting effectively convey the 'inner conflict' and 'isolation' described.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition", "reason_1": "The composition is flat and lacks cinematic depth.", "reason_2": "The framing focuses on the subject's emotion, using the zoom to heighten the dramatic tension.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression", "reason_1": "There is no narrative progression; the scene is frozen in time.", "reason_2": "The video progresses from a wider shot to a close-up, simulating the narrative beat of focusing on the subject's internal state.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully conveys the emotional weight and narrative progression of the prompt through its composition and camera work.", "cat_winner": "Video 2"}], "reason": "Video 2 is the superior generation because it successfully renders the specific facial expressions ('furrowed brows', 'raw emotion') and executes the requested camera movement ('zooms in'). Video 1, while containing the candle element, fails to show the subject's face (hiding the required emotion) and lacks any significant motion or camera work, appearing as a static slideshow.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 30.0, "total_score_2": 70.0, "elapsed_sec": 61.128} +{"pair_id": "062_seed_310", "sample_index": 62, "seed": 310, "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_310_In a bustling office a group of female employees d.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_310_In a bustling office a group of female employees d.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_310_In a bustling office a group of female employees d.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_310_In a bustling office a group of female employees d.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Spatial Logic\", \"reason_1\": \"Video 1 correctly places the group around a conference table as requested.\", \"reason_2\": \"Video 2 also correctly depicts the group arrangement around the table.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Expression Fidelity (Frustration/Determination)\", \"reason_1\": \"The expressions in Video 1 are heavily distorted and grotesque, failing to convey the intended human emotion.\", \"reason_2\": \"Video 2 clearly depicts the requested mix of frustration and seriousness on the female subjects' faces.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Zoom Execution)\", \"reason_1\": \"Video 1 attempts the requested zoom-in, but the motion causes the subjects to warp and melt.\", \"reason_2\": \"Video 2 executes a smooth, controlled zoom that focuses attention on the subjects without breaking the image integrity.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately captures the specific emotional cues (frustration, determination) and the interaction dynamics requested. Video 1 fails to convey the correct expressions due to severe distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Video 1 exhibits severe facial hallucinations; eyes and mouths are misshapen and terrifyingly unrealistic.\", \"reason_2\": \"Video 2 maintains consistent, realistic facial features for all characters throughout the zoom.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The subjects in Video 1 constantly morph and shift shape, lacking physical solidity.\", \"reason_2\": \"Video 2 shows solid temporal coherence with no noticeable warping of objects or people.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Texture\", \"reason_1\": \"The texture quality in Video 1 is muddy and inconsistent.\", \"reason_2\": \"Video 2 has a sharp, high-resolution look with realistic lighting and textures.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"This is the deciding category. Video 1 has catastrophic failure in facial rendering, while Video 2 maintains high realism and stability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Tone (Poignant vs. Uncanny)\", \"reason_1\": \"The severe artifacts in Video 1 create a horror-like atmosphere, completely missing the 'poignant narrative' requirement.\", \"reason_2\": \"Video 2 successfully establishes a serious, dramatic corporate atmosphere suitable for the story.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Character Interaction & Body Language\", \"reason_1\": \"The body language in Video 1 is stiff and unnatural due to the morphing bodies.\", \"reason_2\": \"Video 2 captures the 'knowing glances' and the tension between the female employees and the manager effectively.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually unpleasant due to the grotesque distortions.\", \"reason_2\": \"Video 2 is aesthetically pleasing, resembling a high-quality stock video or film clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully creates the 'poignant narrative' requested, whereas Video 1 creates an unintentional horror aesthetic due to artifacts.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity and stability. While Video 1 attempts the scene, it suffers from severe facial distortions and morphological instability that turn the intended 'poignant narrative' into unintentional body horror. Video 2 maintains consistent character identities, realistic expressions, and smooth camera movement, effectively conveying the requested mood of frustration and professional tension.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Spatial Logic", "reason_1": "Video 1 correctly places the group around a conference table as requested.", "reason_2": "Video 2 also correctly depicts the group arrangement around the table.", "score_1": 5, "score_2": 5}, {"name": "Expression Fidelity (Frustration/Determination)", "reason_1": "The expressions in Video 1 are heavily distorted and grotesque, failing to convey the intended human emotion.", "reason_2": "Video 2 clearly depicts the requested mix of frustration and seriousness on the female subjects' faces.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Zoom Execution)", "reason_1": "Video 1 attempts the requested zoom-in, but the motion causes the subjects to warp and melt.", "reason_2": "Video 2 executes a smooth, controlled zoom that focuses attention on the subjects without breaking the image integrity.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately captures the specific emotional cues (frustration, determination) and the interaction dynamics requested. Video 1 fails to convey the correct expressions due to severe distortion.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Video 1 exhibits severe facial hallucinations; eyes and mouths are misshapen and terrifyingly unrealistic.", "reason_2": "Video 2 maintains consistent, realistic facial features for all characters throughout the zoom.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "The subjects in Video 1 constantly morph and shift shape, lacking physical solidity.", "reason_2": "Video 2 shows solid temporal coherence with no noticeable warping of objects or people.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Texture", "reason_1": "The texture quality in Video 1 is muddy and inconsistent.", "reason_2": "Video 2 has a sharp, high-resolution look with realistic lighting and textures.", "score_1": 3, "score_2": 7}], "cat_reason": "This is the deciding category. Video 1 has catastrophic failure in facial rendering, while Video 2 maintains high realism and stability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Tone (Poignant vs. Uncanny)", "reason_1": "The severe artifacts in Video 1 create a horror-like atmosphere, completely missing the 'poignant narrative' requirement.", "reason_2": "Video 2 successfully establishes a serious, dramatic corporate atmosphere suitable for the story.", "score_1": 1, "score_2": 9}, {"name": "Character Interaction & Body Language", "reason_1": "The body language in Video 1 is stiff and unnatural due to the morphing bodies.", "reason_2": "Video 2 captures the 'knowing glances' and the tension between the female employees and the manager effectively.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually unpleasant due to the grotesque distortions.", "reason_2": "Video 2 is aesthetically pleasing, resembling a high-quality stock video or film clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully creates the 'poignant narrative' requested, whereas Video 1 creates an unintentional horror aesthetic due to artifacts.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity and stability. While Video 1 attempts the scene, it suffers from severe facial distortions and morphological instability that turn the intended 'poignant narrative' into unintentional body horror. Video 2 maintains consistent character identities, realistic expressions, and smooth camera movement, effectively conveying the requested mood of frustration and professional tension.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 21.0, "total_score_2": 69.0, "elapsed_sec": 52.56} +{"pair_id": "065_seed_42", "sample_index": 65, "seed": 42, "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_42_A news anchor dressed in a crisp suit sits at a sl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \\\"Alien Invasion Imminent?\\\" and \\\"World on Alert!\\\" The scene shifts to government officials in a high-tech command center, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Text Rendering Accuracy (Headlines)\", \"reason_1\": \"Video 1 perfectly renders the specific text 'Alien Invasion Imminent?' and 'World on Alert!' on the screens and newspapers as requested.\", \"reason_2\": \"Video 2 generates completely illegible, garbled text that bears no resemblance to the specific English phrases requested in the prompt.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Scene Sequence & Transition Logic\", \"reason_1\": \"Video 1 follows the prompt's narrative arc: Studio -> Command Center -> Public Reaction -> Newspaper Montage, with clear cuts.\", \"reason_2\": \"Video 2 attempts the sequence but the transitions are messy, and the 'public reaction' scene is barely recognizable due to severe distortion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attribute Fidelity (Suit/Studio)\", \"reason_1\": \"The anchor and officials in Video 1 are dressed correctly in suits, and the studio environment looks sleek and modern.\", \"reason_2\": \"While the anchor wears a suit, the environment is unstable, and the 'officials' in the command center are rendered as amorphous blobs.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific text strings requested in the prompt and clearly delineates the required scenes. Video 2 fails to generate legible text and struggles to define the subjects clearly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Bodies)\", \"reason_1\": \"Subjects in Video 1 maintain their human form and facial features consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; faces distort into nightmares, and bodies lose structural integrity during motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear details on the news desk, screens, and newspaper print.\", \"reason_2\": \"The video is blurry, noisy, and lacks definition, making it difficult to discern details in the background or on faces.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Persistence (Newspapers)\", \"reason_1\": \"The newspapers in the final montage are rendered as distinct, solid objects with consistent geometry.\", \"reason_2\": \"The newspapers in Video 2 appear to float and morph into the background, lacking physical solidity.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 is plagued by severe artifacts, blurring, and morphological breakdown of human subjects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Broadcast News Aesthetic\", \"reason_1\": \"The lighting, framing, and set design in Video 1 convincingly mimic a professional television news studio.\", \"reason_2\": \"Video 2 looks like a glitchy, low-quality generation that fails to evoke the polished look of a news broadcast.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses standard, effective news framing (medium shot for anchor, wide for command center).\", \"reason_2\": \"Video 2 has awkward framing, often cutting off heads or placing subjects in confusing spatial arrangements.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The story of an alien invasion is clearly communicated through the visual progression of scenes.\", \"reason_2\": \"The narrative is lost in the visual noise; it is hard to tell what is happening in the 'command center' or 'public reaction' scenes.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully captures the aesthetic of a professional news broadcast with clean composition. Video 2 is chaotic and visually unappealing due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in both technical execution and semantic adherence. It successfully renders the specific text requested in the prompt (\\\"Alien Invasion Imminent?\\\") with high legibility, whereas Video 2 produces illegible gibberish. Furthermore, Video 1 maintains consistent character identity and scene stability, while Video 2 suffers from severe morphological distortion, melting faces, and incoherent transitions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Text Rendering Accuracy (Headlines)", "reason_1": "Video 1 perfectly renders the specific text 'Alien Invasion Imminent?' and 'World on Alert!' on the screens and newspapers as requested.", "reason_2": "Video 2 generates completely illegible, garbled text that bears no resemblance to the specific English phrases requested in the prompt.", "score_1": 10, "score_2": 0}, {"name": "Scene Sequence & Transition Logic", "reason_1": "Video 1 follows the prompt's narrative arc: Studio -> Command Center -> Public Reaction -> Newspaper Montage, with clear cuts.", "reason_2": "Video 2 attempts the sequence but the transitions are messy, and the 'public reaction' scene is barely recognizable due to severe distortion.", "score_1": 8, "score_2": 2}, {"name": "Subject Attribute Fidelity (Suit/Studio)", "reason_1": "The anchor and officials in Video 1 are dressed correctly in suits, and the studio environment looks sleek and modern.", "reason_2": "While the anchor wears a suit, the environment is unstable, and the 'officials' in the command center are rendered as amorphous blobs.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific text strings requested in the prompt and clearly delineates the required scenes. Video 2 fails to generate legible text and struggles to define the subjects clearly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Bodies)", "reason_1": "Subjects in Video 1 maintain their human form and facial features consistently throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; faces distort into nightmares, and bodies lose structural integrity during motion.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear details on the news desk, screens, and newspaper print.", "reason_2": "The video is blurry, noisy, and lacks definition, making it difficult to discern details in the background or on faces.", "score_1": 9, "score_2": 1}, {"name": "Object Persistence (Newspapers)", "reason_1": "The newspapers in the final montage are rendered as distinct, solid objects with consistent geometry.", "reason_2": "The newspapers in Video 2 appear to float and morph into the background, lacking physical solidity.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 is plagued by severe artifacts, blurring, and morphological breakdown of human subjects.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Broadcast News Aesthetic", "reason_1": "The lighting, framing, and set design in Video 1 convincingly mimic a professional television news studio.", "reason_2": "Video 2 looks like a glitchy, low-quality generation that fails to evoke the polished look of a news broadcast.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses standard, effective news framing (medium shot for anchor, wide for command center).", "reason_2": "Video 2 has awkward framing, often cutting off heads or placing subjects in confusing spatial arrangements.", "score_1": 8, "score_2": 2}, {"name": "Narrative Clarity", "reason_1": "The story of an alien invasion is clearly communicated through the visual progression of scenes.", "reason_2": "The narrative is lost in the visual noise; it is hard to tell what is happening in the 'command center' or 'public reaction' scenes.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully captures the aesthetic of a professional news broadcast with clean composition. Video 2 is chaotic and visually unappealing due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in both technical execution and semantic adherence. It successfully renders the specific text requested in the prompt (\"Alien Invasion Imminent?\") with high legibility, whereas Video 2 produces illegible gibberish. Furthermore, Video 1 maintains consistent character identity and scene stability, while Video 2 suffers from severe morphological distortion, melting faces, and incoherent transitions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 58.533} +{"pair_id": "067_seed_930", "sample_index": 67, "seed": 930, "prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_067_seed_930_A group of adventurous children wearing colorful c.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Climbing & Navigating)\", \"reason_1\": \"Video 1 clearly depicts the children climbing over a large piece of machinery, directly fulfilling the prompt's instruction to 'climb over piles of debris'.\", \"reason_2\": \"Video 2 shows the children mostly standing or walking near debris, lacking the specific climbing interaction requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Dust & Decay)\", \"reason_1\": \"Video 1 successfully renders a hazy, dusty atmosphere that aligns with the prompt's description of 'air filled with dust' and 'echoes of the past'.\", \"reason_2\": \"Video 2 presents a very clean, bright, and sharp environment that lacks the gritty, abandoned industrial texture described.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Attributes (Colorful Clothes)\", \"reason_1\": \"Video 1 features children in bright yellow and blue clothing, satisfying the 'colorful clothes' requirement.\", \"reason_2\": \"Video 2 also features distinct colorful clothing (pink, blue, green), meeting the basic attribute requirement equally well.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 captures the specific actions and atmospheric details of the prompt much better than Video 2, particularly the climbing action and the dusty environment.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The children in Video 1 maintain their general appearance and clothing throughout the clip, despite some facial distortion.\", \"reason_2\": \"Video 2 suffers from severe identity loss; the child in the red shirt morphs into a child in a blue shirt and plaid pattern within seconds.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 struggles with facial anatomy, resulting in distorted features, but the bodies remain largely separate.\", \"reason_2\": \"Video 2 exhibits severe 'melting' artifacts where the children's limbs and bodies merge into the background machinery.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The climbing motion in Video 1 has a sense of weight and interaction with the object, even if slightly floaty.\", \"reason_2\": \"The motion in Video 2 is disjointed, with characters appearing to slide or glitch rather than walk naturally.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"While both videos suffer from AI artifacts, Video 1 maintains subject identity far better than Video 2, which exhibits severe hallucinations and object merging.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Capturing Every Move)\", \"reason_1\": \"Video 1 utilizes a dynamic tracking shot that follows the children as they climb, perfectly matching the prompt's request to 'capture their every move'.\", \"reason_2\": \"Video 2 uses a static or slightly panning shot that feels passive and fails to engage with the subjects' movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Shadow Contrast\", \"reason_1\": \"Video 1 features strong directional sunlight that casts the 'long shadows' mentioned in the prompt, creating depth.\", \"reason_2\": \"Video 2 has flat, even lighting that lacks the dramatic contrast and shadow play requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Immersion (Adventure)\", \"reason_1\": \"The composition and action in Video 1 successfully convey a sense of adventure and exploration.\", \"reason_2\": \"Video 2 feels more like a random collection of frames without a clear narrative thread or sense of exploration.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 employs a dynamic camera style that enhances the narrative of exploration, whereas Video 2 is static and visually flatter.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior adherence to the prompt's action and atmospheric requirements. It successfully depicts the children actively 'climbing' and 'navigating' the environment with a dynamic camera that follows their movement, whereas Video 2 is largely static. Furthermore, Video 1 maintains better subject consistency, whereas Video 2 suffers from severe identity morphing where children's clothing and features change drastically between frames.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A group of adventurous children, wearing colorful clothes, wander through an abandoned industrial site, their eyes wide with curiosity and wonder. The camera captures their every move as they navigate through rusted machinery, broken glass, and precarious structures, the air filled with dust and echoes of the past. They climb over piles of debris, their laughter mingling with the eerie silence, as they discover forgotten relics and hidden corners. The sun casts long shadows, highlighting the contrast between their innocence and the perilous environment. Despite the dangers, their fearless exploration reveals a world of imagination and resilience amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Climbing & Navigating)", "reason_1": "Video 1 clearly depicts the children climbing over a large piece of machinery, directly fulfilling the prompt's instruction to 'climb over piles of debris'.", "reason_2": "Video 2 shows the children mostly standing or walking near debris, lacking the specific climbing interaction requested.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Dust & Decay)", "reason_1": "Video 1 successfully renders a hazy, dusty atmosphere that aligns with the prompt's description of 'air filled with dust' and 'echoes of the past'.", "reason_2": "Video 2 presents a very clean, bright, and sharp environment that lacks the gritty, abandoned industrial texture described.", "score_1": 7, "score_2": 3}, {"name": "Subject Attributes (Colorful Clothes)", "reason_1": "Video 1 features children in bright yellow and blue clothing, satisfying the 'colorful clothes' requirement.", "reason_2": "Video 2 also features distinct colorful clothing (pink, blue, green), meeting the basic attribute requirement equally well.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 captures the specific actions and atmospheric details of the prompt much better than Video 2, particularly the climbing action and the dusty environment.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The children in Video 1 maintain their general appearance and clothing throughout the clip, despite some facial distortion.", "reason_2": "Video 2 suffers from severe identity loss; the child in the red shirt morphs into a child in a blue shirt and plaid pattern within seconds.", "score_1": 7, "score_2": 3}, {"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 struggles with facial anatomy, resulting in distorted features, but the bodies remain largely separate.", "reason_2": "Video 2 exhibits severe 'melting' artifacts where the children's limbs and bodies merge into the background machinery.", "score_1": 6, "score_2": 4}, {"name": "Motion Physics & Grounding", "reason_1": "The climbing motion in Video 1 has a sense of weight and interaction with the object, even if slightly floaty.", "reason_2": "The motion in Video 2 is disjointed, with characters appearing to slide or glitch rather than walk naturally.", "score_1": 6, "score_2": 4}], "cat_reason": "While both videos suffer from AI artifacts, Video 1 maintains subject identity far better than Video 2, which exhibits severe hallucinations and object merging.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Capturing Every Move)", "reason_1": "Video 1 utilizes a dynamic tracking shot that follows the children as they climb, perfectly matching the prompt's request to 'capture their every move'.", "reason_2": "Video 2 uses a static or slightly panning shot that feels passive and fails to engage with the subjects' movement.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Shadow Contrast", "reason_1": "Video 1 features strong directional sunlight that casts the 'long shadows' mentioned in the prompt, creating depth.", "reason_2": "Video 2 has flat, even lighting that lacks the dramatic contrast and shadow play requested.", "score_1": 8, "score_2": 2}, {"name": "Narrative Immersion (Adventure)", "reason_1": "The composition and action in Video 1 successfully convey a sense of adventure and exploration.", "reason_2": "Video 2 feels more like a random collection of frames without a clear narrative thread or sense of exploration.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 employs a dynamic camera style that enhances the narrative of exploration, whereas Video 2 is static and visually flatter.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior adherence to the prompt's action and atmospheric requirements. It successfully depicts the children actively 'climbing' and 'navigating' the environment with a dynamic camera that follows their movement, whereas Video 2 is largely static. Furthermore, Video 1 maintains better subject consistency, whereas Video 2 suffers from severe identity morphing where children's clothing and features change drastically between frames.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 57.12} +{"pair_id": "070_seed_310", "sample_index": 70, "seed": 310, "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_310_In a bustling public square two opposing groups fa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_310_In a bustling public square two opposing groups fa.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_310_In a bustling public square two opposing groups fa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_310_In a bustling public square two opposing groups fa.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Specificity (Man & Woman)\", \"reason_1\": \"Video 1 features a single male protagonist (Luffy) and lacks the specific 'woman nearby' subject described in the prompt.\", \"reason_2\": \"Video 2 clearly depicts both the shouting young man and the woman clutching a sign nearby, fulfilling the specific character requirements.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Fidelity (Surge & Chaos)\", \"reason_1\": \"Video 1 is largely static with only minor camera shake; there is no 'surge' or physical movement of the groups.\", \"reason_2\": \"Video 2 captures the dynamic movement of the crowd surging forward, aligning well with the prompt's instruction that 'chaos erupts'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Public Square)\", \"reason_1\": \"Video 1 depicts a stylized, fantasy-like background that resembles a specific anime setting rather than a generic bustling public square.\", \"reason_2\": \"Video 2 depicts a realistic architectural setting with arches and depth, fitting the description of a public square.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately includes the specific subjects (man and woman) and the dynamic action (surging/chaos) requested. Video 1 fails to depict the woman and presents a static scene rather than the requested surge.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face/Body)\", \"reason_1\": \"Video 1 maintains perfect structural integrity of the characters throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe distortion; the man's face melts and deforms grotesquely as the camera zooms in.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"Video 1 is crisp, clear, and free of noise, resembling a high-quality anime screenshot.\", \"reason_2\": \"Video 2 is blurry and suffers from significant generation artifacts and noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The limited motion in Video 1 is smooth and consistent.\", \"reason_2\": \"The motion in Video 2 is jerky and chaotic, contributing to the visual distortion.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 is technically superior in terms of image stability and clarity. Video 2 suffers from severe morphological breakdown, where faces and bodies distort and melt significantly during the motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Zoom & Intensity)\", \"reason_1\": \"Video 1 uses a static camera with a slight shake, failing to execute the requested 'zoom in on raw intensity'.\", \"reason_2\": \"Video 2 executes a dramatic forward push/zoom that effectively simulates the camera rushing into the chaos as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Atmosphere (Tension/Fervor)\", \"reason_1\": \"Video 1 conveys a sense of cheering or celebration rather than the 'clashing ideologies' and 'conflict' described.\", \"reason_2\": \"Video 2 successfully evokes a mood of high tension, panic, and raw conflict through its composition and subject expressions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 is a single moment in time with no progression.\", \"reason_2\": \"Video 2 has a clear beginning (standing) and progression (surging/zooming), matching the narrative flow of the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the cinematic intent of the prompt, specifically the camera zoom and the emotional intensity of the conflict. Video 1 lacks narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner in terms of semantic alignment and narrative execution. It successfully depicts the specific characters (man and woman), the chaotic action of the crowd surging, and the requested camera zoom. Video 1, while visually stable, is a static anime clip that fails to depict the specific 'opposing groups' dynamic, the 'woman' subject, or the 'surge' of chaos, effectively ignoring the narrative progression of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Specificity (Man & Woman)", "reason_1": "Video 1 features a single male protagonist (Luffy) and lacks the specific 'woman nearby' subject described in the prompt.", "reason_2": "Video 2 clearly depicts both the shouting young man and the woman clutching a sign nearby, fulfilling the specific character requirements.", "score_1": 1, "score_2": 9}, {"name": "Action Fidelity (Surge & Chaos)", "reason_1": "Video 1 is largely static with only minor camera shake; there is no 'surge' or physical movement of the groups.", "reason_2": "Video 2 captures the dynamic movement of the crowd surging forward, aligning well with the prompt's instruction that 'chaos erupts'.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Public Square)", "reason_1": "Video 1 depicts a stylized, fantasy-like background that resembles a specific anime setting rather than a generic bustling public square.", "reason_2": "Video 2 depicts a realistic architectural setting with arches and depth, fitting the description of a public square.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately includes the specific subjects (man and woman) and the dynamic action (surging/chaos) requested. Video 1 fails to depict the woman and presents a static scene rather than the requested surge.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face/Body)", "reason_1": "Video 1 maintains perfect structural integrity of the characters throughout the clip.", "reason_2": "Video 2 suffers from severe distortion; the man's face melts and deforms grotesquely as the camera zooms in.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Clarity", "reason_1": "Video 1 is crisp, clear, and free of noise, resembling a high-quality anime screenshot.", "reason_2": "Video 2 is blurry and suffers from significant generation artifacts and noise.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The limited motion in Video 1 is smooth and consistent.", "reason_2": "The motion in Video 2 is jerky and chaotic, contributing to the visual distortion.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 is technically superior in terms of image stability and clarity. Video 2 suffers from severe morphological breakdown, where faces and bodies distort and melt significantly during the motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Zoom & Intensity)", "reason_1": "Video 1 uses a static camera with a slight shake, failing to execute the requested 'zoom in on raw intensity'.", "reason_2": "Video 2 executes a dramatic forward push/zoom that effectively simulates the camera rushing into the chaos as requested.", "score_1": 2, "score_2": 8}, {"name": "Emotional Atmosphere (Tension/Fervor)", "reason_1": "Video 1 conveys a sense of cheering or celebration rather than the 'clashing ideologies' and 'conflict' described.", "reason_2": "Video 2 successfully evokes a mood of high tension, panic, and raw conflict through its composition and subject expressions.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression", "reason_1": "Video 1 is a single moment in time with no progression.", "reason_2": "Video 2 has a clear beginning (standing) and progression (surging/zooming), matching the narrative flow of the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the cinematic intent of the prompt, specifically the camera zoom and the emotional intensity of the conflict. Video 1 lacks narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner in terms of semantic alignment and narrative execution. It successfully depicts the specific characters (man and woman), the chaotic action of the crowd surging, and the requested camera zoom. Video 1, while visually stable, is a static anime clip that fails to depict the specific 'opposing groups' dynamic, the 'woman' subject, or the 'surge' of chaos, effectively ignoring the narrative progression of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 37.0, "total_score_2": 53.0, "elapsed_sec": 58.632} +{"pair_id": "073_seed_42", "sample_index": 73, "seed": 42, "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_42_A lone cowboy clad in a weathered hat and rugged a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Stylistic Constraint: Silhouette & Contrast\", \"reason_1\": \"Video 1 completely ignores the instruction for 'silhouettes etched against the horizon,' presenting a fully lit, standard side-profile shot.\", \"reason_2\": \"Video 2 perfectly executes the prompt's request for silhouettes, creating the specific high-contrast look described.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Scale: Vastness & Plains\", \"reason_1\": \"The framing in Video 1 is tighter, focusing on the rider and limiting the sense of a 'vast, open plain.'\", \"reason_2\": \"Video 2 utilizes a wide shot that effectively conveys the scale of the 'vast, open plain' and the 'distant mountains.'\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attribute Visibility\", \"reason_1\": \"Video 1 clearly displays the 'weathered hat' and 'rugged attire' as requested.\", \"reason_2\": \"Due to the silhouette style, the specific details of the attire and hat are obscured in Video 2, though this was a trade-off for the requested lighting.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 2 correctly interprets the prompt's request for a silhouette style and vast landscape, whereas Video 1 ignores the silhouette instruction entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Locomotion Physics (Horse Gait)\", \"reason_1\": \"The horse's movement in Video 1 feels slightly 'floaty,' with the hooves not appearing to make solid contact with the ground.\", \"reason_2\": \"Video 2 displays a more grounded and rhythmic walking gait that feels physically plausible for the distance shown.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 maintains a sharper focus on the subject with clearer texture details.\", \"reason_2\": \"Video 2 is softer and slightly blurrier, likely due to the lower resolution or the nature of the silhouette rendering.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 is stable with no major flickering.\", \"reason_2\": \"Video 2 is also stable, maintaining the integrity of the silhouette shape throughout the clip.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"While Video 1 is sharper, Video 2 exhibits more natural motion physics for the horse and better integration of the subject into the environment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Tranquility)\", \"reason_1\": \"The brighter, flatter lighting in Video 1 feels more like a standard stock clip and lacks the specific 'tranquil' atmosphere requested.\", \"reason_2\": \"The silhouette against the sunset in Video 2 strongly evokes the requested sense of 'freedom and tranquility.'\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Palette & Lighting\", \"reason_1\": \"Video 1 has a pleasant sky, but the lighting on the subject is inconsistent with the background sunset.\", \"reason_2\": \"Video 2 features a rich, cohesive palette of 'vibrant oranges and pinks' that dominates the scene as described.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The composition is functional but standard, lacking artistic flair.\", \"reason_2\": \"The wide framing and use of negative space in Video 2 create a much more cinematic and aesthetically pleasing image.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the emotional essence of the prompt—tranquility and freedom—through superior composition and lighting.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it strictly adheres to the specific stylistic constraint of the prompt: 'silhouettes are etched against the horizon.' It successfully creates the requested high-contrast aesthetic and captures the 'vast, open plain' with a wide cinematic composition. Video 1, while high quality, fails to render the requested silhouette effect, presenting a standard, fully-lit close-up that misses the atmospheric mood described.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Stylistic Constraint: Silhouette & Contrast", "reason_1": "Video 1 completely ignores the instruction for 'silhouettes etched against the horizon,' presenting a fully lit, standard side-profile shot.", "reason_2": "Video 2 perfectly executes the prompt's request for silhouettes, creating the specific high-contrast look described.", "score_1": 1, "score_2": 9}, {"name": "Environmental Scale: Vastness & Plains", "reason_1": "The framing in Video 1 is tighter, focusing on the rider and limiting the sense of a 'vast, open plain.'", "reason_2": "Video 2 utilizes a wide shot that effectively conveys the scale of the 'vast, open plain' and the 'distant mountains.'", "score_1": 3, "score_2": 7}, {"name": "Subject Attribute Visibility", "reason_1": "Video 1 clearly displays the 'weathered hat' and 'rugged attire' as requested.", "reason_2": "Due to the silhouette style, the specific details of the attire and hat are obscured in Video 2, though this was a trade-off for the requested lighting.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 2 correctly interprets the prompt's request for a silhouette style and vast landscape, whereas Video 1 ignores the silhouette instruction entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Locomotion Physics (Horse Gait)", "reason_1": "The horse's movement in Video 1 feels slightly 'floaty,' with the hooves not appearing to make solid contact with the ground.", "reason_2": "Video 2 displays a more grounded and rhythmic walking gait that feels physically plausible for the distance shown.", "score_1": 4, "score_2": 6}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 maintains a sharper focus on the subject with clearer texture details.", "reason_2": "Video 2 is softer and slightly blurrier, likely due to the lower resolution or the nature of the silhouette rendering.", "score_1": 7, "score_2": 3}, {"name": "Temporal Stability", "reason_1": "Video 1 is stable with no major flickering.", "reason_2": "Video 2 is also stable, maintaining the integrity of the silhouette shape throughout the clip.", "score_1": 5, "score_2": 5}], "cat_reason": "While Video 1 is sharper, Video 2 exhibits more natural motion physics for the horse and better integration of the subject into the environment.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Tranquility)", "reason_1": "The brighter, flatter lighting in Video 1 feels more like a standard stock clip and lacks the specific 'tranquil' atmosphere requested.", "reason_2": "The silhouette against the sunset in Video 2 strongly evokes the requested sense of 'freedom and tranquility.'", "score_1": 3, "score_2": 7}, {"name": "Color Palette & Lighting", "reason_1": "Video 1 has a pleasant sky, but the lighting on the subject is inconsistent with the background sunset.", "reason_2": "Video 2 features a rich, cohesive palette of 'vibrant oranges and pinks' that dominates the scene as described.", "score_1": 4, "score_2": 6}, {"name": "Cinematic Composition", "reason_1": "The composition is functional but standard, lacking artistic flair.", "reason_2": "The wide framing and use of negative space in Video 2 create a much more cinematic and aesthetically pleasing image.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the emotional essence of the prompt—tranquility and freedom—through superior composition and lighting.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it strictly adheres to the specific stylistic constraint of the prompt: 'silhouettes are etched against the horizon.' It successfully creates the requested high-contrast aesthetic and captures the 'vast, open plain' with a wide cinematic composition. Video 1, while high quality, fails to render the requested silhouette effect, presenting a standard, fully-lit close-up that misses the atmospheric mood described.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 38.0, "total_score_2": 52.0, "elapsed_sec": 57.959} +{"pair_id": "075_seed_930", "sample_index": 75, "seed": 930, "prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_075_seed_930_In the dim light of dawn a delicate spiders web gl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Structural Integrity (Web & Dew)\", \"reason_1\": \"Video 1 clearly renders a spider web with distinct, spherical dew drops adhering to the silk strands.\", \"reason_2\": \"Video 2 fails to render a coherent web; the 'droplets' appear as random, floating blobs with no connection to any silk structure.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Surreal Concept Integration (Galaxies in Droplets)\", \"reason_1\": \"Video 1 successfully places the galaxy imagery within the context of the scene, creating the illusion of a cosmic backdrop seen through the dew.\", \"reason_2\": \"Video 2 presents a chaotic mix of colors and shapes that fails to convey the specific concept of 'miniature universes' inside the droplets.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Dawn & Mood)\", \"reason_1\": \"Video 1 captures the 'dim light of dawn' and 'moody background' effectively with appropriate lighting and color grading.\", \"reason_2\": \"Video 2 lacks a cohesive atmosphere, appearing more like a glitchy digital artifact than a moody natural scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the primary subjects (web, dew) and the environmental context. Video 2 fails to generate a recognizable spider web, presenting instead a chaotic array of floating shapes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The droplets and web strands in Video 1 maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"The objects in Video 2 constantly morph, stretch, and distort, lacking any physical solidity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is sharp, with clear definition between the foreground droplets and the background.\", \"reason_2\": \"Video 2 is blurry and noisy, with significant compression-like artifacts and indistinct edges.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence (Sway vs. Distortion)\", \"reason_1\": \"Video 1 exhibits a gentle, rhythmic motion that mimics a breeze, though it is slightly repetitive.\", \"reason_2\": \"Video 2 displays erratic, jittery motion that looks like generation noise rather than physical movement.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 is plagued by severe artifacts, blurring, and a lack of object permanence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Ethereal Aesthetic & Beauty\", \"reason_1\": \"Video 1 creates a beautiful, dreamlike image that aligns perfectly with the 'ethereal beauty' requested in the prompt.\", \"reason_2\": \"Video 2 is visually unappealing and chaotic, failing to evoke any sense of beauty or wonder.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a centered composition that draws the eye to the 'portal' effect of the web.\", \"reason_2\": \"Video 2 lacks a focal point, with elements scattered randomly across the frame.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Execution (Zoom)\", \"reason_1\": \"Video 1 has a subtle push-in that mimics a slow zoom, though it is not very aggressive.\", \"reason_2\": \"Video 2 has no discernible camera movement logic, only random pixel shifting.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 succeeds in creating the 'ethereal beauty' requested, offering a pleasing composition. Video 2 is aesthetically displeasing and chaotic.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Physics & Material Rendering\", \"dims\": [{\"name\": \"Liquid Surface Tension (Droplet Shape)\", \"reason_1\": \"The droplets in Video 1 have realistic spherical tension, looking like actual water.\", \"reason_2\": \"The shapes in Video 2 are irregular and blob-like, lacking the physical properties of liquid.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Refraction & Light Interaction\", \"reason_1\": \"Video 1 shows light interacting with the droplets (refraction), enhancing the 'glistening' effect.\", \"reason_2\": \"Video 2 lacks realistic lighting interaction; the blobs are flat and do not refract the background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Material Distinction (Silk vs. Water)\", \"reason_1\": \"Video 1 clearly distinguishes between the thin, matte texture of the silk and the glossy texture of the water.\", \"reason_2\": \"Video 2 fails to distinguish materials; everything looks like a single, noisy texture.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This personalized category evaluates the specific rendering of the 'dew' and 'web' materials. Video 1 excels in rendering liquid physics, while Video 2 fails completely.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully renders a coherent spider web with distinct, physically plausible dew drops set against a cosmic background. It captures the ethereal mood and the 'glistening' quality requested. Video 2, conversely, suffers from severe morphological instability, failing to render a recognizable web structure or distinct droplets, resulting in a chaotic and abstract visual that lacks the required realism and aesthetic beauty.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In the dim light of dawn, a delicate spider's web glistens with dew, each droplet a miniature universe suspended in the intricate silk. As the camera zooms in, the droplets reveal swirling galaxies, vibrant with stars and colorful nebulae, creating a cosmic spectacle. The dark, moody background enhances the ethereal beauty of this natural wonder, as if the web itself is a portal to the cosmos. The gentle sway of the web in the breeze adds a sense of motion, making the galaxies appear alive, twinkling with the mysteries of the universe.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Structural Integrity (Web & Dew)", "reason_1": "Video 1 clearly renders a spider web with distinct, spherical dew drops adhering to the silk strands.", "reason_2": "Video 2 fails to render a coherent web; the 'droplets' appear as random, floating blobs with no connection to any silk structure.", "score_1": 9, "score_2": 1}, {"name": "Surreal Concept Integration (Galaxies in Droplets)", "reason_1": "Video 1 successfully places the galaxy imagery within the context of the scene, creating the illusion of a cosmic backdrop seen through the dew.", "reason_2": "Video 2 presents a chaotic mix of colors and shapes that fails to convey the specific concept of 'miniature universes' inside the droplets.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Dawn & Mood)", "reason_1": "Video 1 captures the 'dim light of dawn' and 'moody background' effectively with appropriate lighting and color grading.", "reason_2": "Video 2 lacks a cohesive atmosphere, appearing more like a glitchy digital artifact than a moody natural scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the primary subjects (web, dew) and the environmental context. Video 2 fails to generate a recognizable spider web, presenting instead a chaotic array of floating shapes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The droplets and web strands in Video 1 maintain their shape and volume consistently throughout the clip.", "reason_2": "The objects in Video 2 constantly morph, stretch, and distort, lacking any physical solidity.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is sharp, with clear definition between the foreground droplets and the background.", "reason_2": "Video 2 is blurry and noisy, with significant compression-like artifacts and indistinct edges.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence (Sway vs. Distortion)", "reason_1": "Video 1 exhibits a gentle, rhythmic motion that mimics a breeze, though it is slightly repetitive.", "reason_2": "Video 2 displays erratic, jittery motion that looks like generation noise rather than physical movement.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 is plagued by severe artifacts, blurring, and a lack of object permanence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Ethereal Aesthetic & Beauty", "reason_1": "Video 1 creates a beautiful, dreamlike image that aligns perfectly with the 'ethereal beauty' requested in the prompt.", "reason_2": "Video 2 is visually unappealing and chaotic, failing to evoke any sense of beauty or wonder.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a centered composition that draws the eye to the 'portal' effect of the web.", "reason_2": "Video 2 lacks a focal point, with elements scattered randomly across the frame.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Execution (Zoom)", "reason_1": "Video 1 has a subtle push-in that mimics a slow zoom, though it is not very aggressive.", "reason_2": "Video 2 has no discernible camera movement logic, only random pixel shifting.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 succeeds in creating the 'ethereal beauty' requested, offering a pleasing composition. Video 2 is aesthetically displeasing and chaotic.", "cat_winner": "Video 1"}, {"name": "D. Physics & Material Rendering", "dims": [{"name": "Liquid Surface Tension (Droplet Shape)", "reason_1": "The droplets in Video 1 have realistic spherical tension, looking like actual water.", "reason_2": "The shapes in Video 2 are irregular and blob-like, lacking the physical properties of liquid.", "score_1": 9, "score_2": 1}, {"name": "Refraction & Light Interaction", "reason_1": "Video 1 shows light interacting with the droplets (refraction), enhancing the 'glistening' effect.", "reason_2": "Video 2 lacks realistic lighting interaction; the blobs are flat and do not refract the background.", "score_1": 8, "score_2": 2}, {"name": "Material Distinction (Silk vs. Water)", "reason_1": "Video 1 clearly distinguishes between the thin, matte texture of the silk and the glossy texture of the water.", "reason_2": "Video 2 fails to distinguish materials; everything looks like a single, noisy texture.", "score_1": 9, "score_2": 1}], "cat_reason": "This personalized category evaluates the specific rendering of the 'dew' and 'web' materials. Video 1 excels in rendering liquid physics, while Video 2 fails completely.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully renders a coherent spider web with distinct, physically plausible dew drops set against a cosmic background. It captures the ethereal mood and the 'glistening' quality requested. Video 2, conversely, suffers from severe morphological instability, failing to render a recognizable web structure or distinct droplets, resulting in a chaotic and abstract visual that lacks the required realism and aesthetic beauty.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 98.0, "total_score_2": 22.0, "elapsed_sec": 71.732} +{"pair_id": "078_seed_310", "sample_index": 78, "seed": 310, "prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_310_A sprawling Martian cityscape unfolds under a crim.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_310_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_310_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_310_A sprawling Martian cityscape unfolds under a crim.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Martian/Crimson Sky)\", \"reason_1\": \"Video 1 features a pinkish hue but lacks the distinct 'crimson' Martian atmosphere, looking more like a generic sunset.\", \"reason_2\": \"Video 2 features a deep, saturated red sky that perfectly matches the 'crimson' descriptor and establishes a strong Martian identity.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Specificity (Holographic Advertisements)\", \"reason_1\": \"The billboards in Video 1 are blurry and indistinct, lacking the 'dynamic' and 'flickering' quality requested.\", \"reason_2\": \"Video 2 renders large, distinct screens with shifting content and bright neon colors, closely matching the description of 'dynamic holographic advertisements'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Trajectory (Zoom & Skyscraper Emergence)\", \"reason_1\": \"Video 1 moves forward but fails to clearly 'zoom in' on a specific colossal skyscraper; the destination is vague.\", \"reason_2\": \"Video 2 executes a clear forward zoom that culminates in a massive building dominating the frame, fulfilling the narrative arc of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Object Attributes (Sleek Flying Cars)\", \"reason_1\": \"The vehicles in Video 1 are amorphous blobs that lack definition or 'sleekness'.\", \"reason_2\": \"Video 2 depicts vehicles with clearer shapes and metallic textures, appearing more 'sleek' and futuristic.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately captures the specific environmental cues (crimson sky) and the narrative progression (zooming into a specific building with ads), whereas Video 1 is vague and lacks the distinct 'Martian' atmosphere.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and low-resolution, making details hard to discern.\", \"reason_2\": \"The image is sharp, with clear edges on buildings and readable details on the digital billboards.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability (Geometry)\", \"reason_1\": \"The road and buildings warp and stretch unnaturally as the camera moves (severe temporal inconsistency).\", \"reason_2\": \"The structures maintain their shape and perspective reasonably well during the camera movement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Reflection Quality\", \"reason_1\": \"Reflections are muddy and indistinct due to the overall blur.\", \"reason_2\": \"Video 2 successfully renders 'vibrant reflections' on the wet/metallic road surfaces, adding to the realism.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, offering a sharp, stable image with good lighting. Video 1 is plagued by low resolution, blurriness, and significant geometric warping.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cyberpunk/Sci-Fi Aesthetic\", \"reason_1\": \"The aesthetic is washed out and lacks the 'neon-lit' vibrancy described.\", \"reason_2\": \"The contrast between the red sky and the blue/purple neon lights creates a striking, cohesive sci-fi aesthetic.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Scale\", \"reason_1\": \"The framing is wide and loose, failing to convey the 'colossal' nature of the skyscraper.\", \"reason_2\": \"The composition effectively uses the zoom to make the final building feel massive and imposing.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to artifacts and blur.\", \"reason_2\": \"The video is engaging, colorful, and looks like a coherent piece of concept art brought to life.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 creates a compelling sci-fi atmosphere with strong color contrast and a clear focal point, whereas Video 1 feels like a low-quality draft.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in visual fidelity, semantic accuracy, and aesthetic impact. It successfully renders the 'crimson sky' and 'colossal skyscraper' with high-definition details, whereas Video 1 suffers from severe blurring, warping artifacts, and a lack of distinct subject definition.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Martian/Crimson Sky)", "reason_1": "Video 1 features a pinkish hue but lacks the distinct 'crimson' Martian atmosphere, looking more like a generic sunset.", "reason_2": "Video 2 features a deep, saturated red sky that perfectly matches the 'crimson' descriptor and establishes a strong Martian identity.", "score_1": 3, "score_2": 7}, {"name": "Subject Specificity (Holographic Advertisements)", "reason_1": "The billboards in Video 1 are blurry and indistinct, lacking the 'dynamic' and 'flickering' quality requested.", "reason_2": "Video 2 renders large, distinct screens with shifting content and bright neon colors, closely matching the description of 'dynamic holographic advertisements'.", "score_1": 2, "score_2": 8}, {"name": "Camera Trajectory (Zoom & Skyscraper Emergence)", "reason_1": "Video 1 moves forward but fails to clearly 'zoom in' on a specific colossal skyscraper; the destination is vague.", "reason_2": "Video 2 executes a clear forward zoom that culminates in a massive building dominating the frame, fulfilling the narrative arc of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Object Attributes (Sleek Flying Cars)", "reason_1": "The vehicles in Video 1 are amorphous blobs that lack definition or 'sleekness'.", "reason_2": "Video 2 depicts vehicles with clearer shapes and metallic textures, appearing more 'sleek' and futuristic.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately captures the specific environmental cues (crimson sky) and the narrative progression (zooming into a specific building with ads), whereas Video 1 is vague and lacks the distinct 'Martian' atmosphere.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and low-resolution, making details hard to discern.", "reason_2": "The image is sharp, with clear edges on buildings and readable details on the digital billboards.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability (Geometry)", "reason_1": "The road and buildings warp and stretch unnaturally as the camera moves (severe temporal inconsistency).", "reason_2": "The structures maintain their shape and perspective reasonably well during the camera movement.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Reflection Quality", "reason_1": "Reflections are muddy and indistinct due to the overall blur.", "reason_2": "Video 2 successfully renders 'vibrant reflections' on the wet/metallic road surfaces, adding to the realism.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, offering a sharp, stable image with good lighting. Video 1 is plagued by low resolution, blurriness, and significant geometric warping.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cyberpunk/Sci-Fi Aesthetic", "reason_1": "The aesthetic is washed out and lacks the 'neon-lit' vibrancy described.", "reason_2": "The contrast between the red sky and the blue/purple neon lights creates a striking, cohesive sci-fi aesthetic.", "score_1": 3, "score_2": 7}, {"name": "Composition & Scale", "reason_1": "The framing is wide and loose, failing to convey the 'colossal' nature of the skyscraper.", "reason_2": "The composition effectively uses the zoom to make the final building feel massive and imposing.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to artifacts and blur.", "reason_2": "The video is engaging, colorful, and looks like a coherent piece of concept art brought to life.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 creates a compelling sci-fi atmosphere with strong color contrast and a clear focal point, whereas Video 1 feels like a low-quality draft.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in visual fidelity, semantic accuracy, and aesthetic impact. It successfully renders the 'crimson sky' and 'colossal skyscraper' with high-definition details, whereas Video 1 suffers from severe blurring, warping artifacts, and a lack of distinct subject definition.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 74.0, "elapsed_sec": 60.506} +{"pair_id": "081_seed_42", "sample_index": 81, "seed": 42, "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_42_In a noir-style scene a detective in a classic tre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Lighting Cigarette)\", \"reason_1\": \"Video 1 completely ignores the instruction to light a cigarette; the subject merely holds a saxophone.\", \"reason_2\": \"Video 2 clearly depicts the subject bringing a hand to his mouth and lighting a cigarette, matching the prompt's core action.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject-Object Logic (Saxophone Placement)\", \"reason_1\": \"Video 1 hallucinates the saxophone as a physical object held by the detective, contradicting the prompt which states the sound is 'distant'.\", \"reason_2\": \"Video 2 correctly treats the saxophone as an auditory element (or background detail) rather than a prop held by the main character.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Wet Cobblestones)\", \"reason_1\": \"Video 1 renders the wet cobblestones with high fidelity and realistic reflections.\", \"reason_2\": \"Video 2 also successfully renders the glistening wet ground and alley atmosphere.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 correctly interprets the prompt's narrative actions and object relationships, whereas Video 1 fails significantly by misinterpreting the auditory cue as a physical prop.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's face in Video 1 remains consistent and recognizable throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe identity loss; the face morphs drastically between frames, looking like different people.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Object Integrity)\", \"reason_1\": \"The saxophone in Video 1 warps and melts into the subject's body and coat.\", \"reason_2\": \"While the face is unstable, the clothing and general body structure in Video 2 remain more solid than the melting saxophone in Video 1.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 maintains a sharper focus on the subject.\", \"reason_2\": \"Video 2 appears slightly blurrier and suffers from more generation noise.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 is technically superior in terms of subject consistency. Video 2 suffers from severe facial morphing and identity loss throughout the clip.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Noir Atmosphere & Lighting\", \"reason_1\": \"Video 1 has good lighting but feels a bit too clean and bright for a gritty noir scene.\", \"reason_2\": \"Video 2 utilizes higher contrast and deeper shadows, better fitting the 'noir-style' description.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Flow (Walk, Pause, Light)\", \"reason_1\": \"Video 1 lacks narrative progression; it is a static shot of a man holding an instrument.\", \"reason_2\": \"Video 2 captures the sequence of walking, pausing, and the specific action of lighting the cigarette.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Character Expression & Mood\", \"reason_1\": \"The subject in Video 1 has a blank, neutral expression.\", \"reason_2\": \"Despite the morphing, Video 2 attempts to portray the 'stern' and 'observant' look requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'noir' mood and narrative flow much better, executing the specific sequence of events described in the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner based on semantic accuracy and narrative adherence. It correctly depicts the detective lighting a cigarette and captures the requested noir atmosphere. Video 1 suffers from a critical semantic hallucination: it interprets the 'distant sound of a saxophone' as a visual instruction, causing the detective to hold a morphing saxophone instead of performing the requested action of lighting a cigarette. While Video 1 has better facial stability, its failure to follow the core action and object constraints of the prompt makes it the loser.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Lighting Cigarette)", "reason_1": "Video 1 completely ignores the instruction to light a cigarette; the subject merely holds a saxophone.", "reason_2": "Video 2 clearly depicts the subject bringing a hand to his mouth and lighting a cigarette, matching the prompt's core action.", "score_1": 1, "score_2": 9}, {"name": "Subject-Object Logic (Saxophone Placement)", "reason_1": "Video 1 hallucinates the saxophone as a physical object held by the detective, contradicting the prompt which states the sound is 'distant'.", "reason_2": "Video 2 correctly treats the saxophone as an auditory element (or background detail) rather than a prop held by the main character.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Wet Cobblestones)", "reason_1": "Video 1 renders the wet cobblestones with high fidelity and realistic reflections.", "reason_2": "Video 2 also successfully renders the glistening wet ground and alley atmosphere.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 correctly interprets the prompt's narrative actions and object relationships, whereas Video 1 fails significantly by misinterpreting the auditory cue as a physical prop.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's face in Video 1 remains consistent and recognizable throughout the clip.", "reason_2": "Video 2 suffers from severe identity loss; the face morphs drastically between frames, looking like different people.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Object Integrity)", "reason_1": "The saxophone in Video 1 warps and melts into the subject's body and coat.", "reason_2": "While the face is unstable, the clothing and general body structure in Video 2 remain more solid than the melting saxophone in Video 1.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 maintains a sharper focus on the subject.", "reason_2": "Video 2 appears slightly blurrier and suffers from more generation noise.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 is technically superior in terms of subject consistency. Video 2 suffers from severe facial morphing and identity loss throughout the clip.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Noir Atmosphere & Lighting", "reason_1": "Video 1 has good lighting but feels a bit too clean and bright for a gritty noir scene.", "reason_2": "Video 2 utilizes higher contrast and deeper shadows, better fitting the 'noir-style' description.", "score_1": 4, "score_2": 6}, {"name": "Narrative Flow (Walk, Pause, Light)", "reason_1": "Video 1 lacks narrative progression; it is a static shot of a man holding an instrument.", "reason_2": "Video 2 captures the sequence of walking, pausing, and the specific action of lighting the cigarette.", "score_1": 2, "score_2": 8}, {"name": "Character Expression & Mood", "reason_1": "The subject in Video 1 has a blank, neutral expression.", "reason_2": "Despite the morphing, Video 2 attempts to portray the 'stern' and 'observant' look requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'noir' mood and narrative flow much better, executing the specific sequence of events described in the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner based on semantic accuracy and narrative adherence. It correctly depicts the detective lighting a cigarette and captures the requested noir atmosphere. Video 1 suffers from a critical semantic hallucination: it interprets the 'distant sound of a saxophone' as a visual instruction, causing the detective to hold a morphing saxophone instead of performing the requested action of lighting a cigarette. While Video 1 has better facial stability, its failure to follow the core action and object constraints of the prompt makes it the loser.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 34.0, "total_score_2": 56.0, "elapsed_sec": 57.142} +{"pair_id": "083_seed_930", "sample_index": 83, "seed": 930, "prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_083_seed_930_The camera captures the ethereal northern lights s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Aurora Color Palette (Green, Purple, Blue)\", \"reason_1\": \"Video 1 is dominated almost exclusively by green hues, missing the requested purple and blue vibrancy.\", \"reason_2\": \"Video 2 clearly displays the requested mix of green, purple, and blue, creating a more accurate multi-colored display.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Reflection (Mirror-like Effect)\", \"reason_1\": \"The reflection in Video 1 is present but somewhat dull and lacks the 'mirror-like' clarity described.\", \"reason_2\": \"Video 2 features a highly distinct, mirror-like reflection on the frozen lake that vividly doubles the spectacle as requested.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Landscape Detail (Snow Mounds & Mountains)\", \"reason_1\": \"Video 1 renders the mountains and snow mounds with high definition and realistic texture.\", \"reason_2\": \"Video 2 includes the required elements, but the mountains and snow appear slightly softer and less detailed than in Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Celestial Elements (Stars & Twinkle)\", \"reason_1\": \"Video 1 shows stars, but they are faint and lack the 'scattered diamonds' prominence.\", \"reason_2\": \"Video 2 renders brighter, more distinct stars that better fit the 'twinkle like scattered diamonds' description.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific color palette and environmental details (reflection, stars) more accurately according to the text description.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with sharp edges on the mountains and clear textures in the snow.\", \"reason_2\": \"The video appears slightly blurry and soft, lacking the high-definition crispness of Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness (Graceful Swirl)\", \"reason_1\": \"The movement of the aurora is fluid and graceful, matching the 'ballet' description well.\", \"reason_2\": \"The motion is smooth and consistent, effectively conveying the swirling nature of the lights.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Lighting Interaction & Contrast\", \"reason_1\": \"Video 1 has better contrast, making the light sources pop against the dark sky.\", \"reason_2\": \"Video 2 has a flatter lighting profile, which reduces the perceived depth of the scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates superior technical fidelity with sharper details and better contrast, whereas Video 2 suffers from slight softness.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Magical & Ethereal)\", \"reason_1\": \"The mood is realistic and cold, but lacks the heightened 'magical' quality requested.\", \"reason_2\": \"The combination of vibrant colors and the glowing reflection creates a strong sense of magic and ethereal beauty.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The color palette is somewhat monochromatic (green), limiting the visual impact.\", \"reason_2\": \"The blend of purple, blue, and green creates a rich, harmonious, and vibrant aesthetic that is visually captivating.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, with the mountains providing a solid anchor for the sky.\", \"reason_2\": \"The composition is equally effective, utilizing the reflection to balance the frame vertically.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 excels in creating the 'magical' and 'ethereal' atmosphere requested, largely due to its superior color harmony and vibrant presentation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the superior generation because it adheres much more strictly to the specific color requirements of the prompt (green, purple, and blue) and successfully renders the 'mirror-like' reflection on the frozen lake. While Video 1 offers higher sharpness, it lacks the requested color variety and the vividness of the reflection found in Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera captures the ethereal northern lights swirling gracefully across the Arctic sky, painting vibrant hues of green, purple, and blue. Stars twinkle like scattered diamonds above the pristine, snow-blanketed landscape, where gentle mounds of snow glisten under the celestial display. The scene is framed by the silhouettes of distant, rugged mountains, adding depth to the horizon. A tranquil, frozen lake reflects the aurora's colors, creating a mirror-like effect that doubles the spectacle. The air is crisp and silent, enhancing the serene and magical atmosphere, as the lights dance in an ever-changing, mesmerizing ballet.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Aurora Color Palette (Green, Purple, Blue)", "reason_1": "Video 1 is dominated almost exclusively by green hues, missing the requested purple and blue vibrancy.", "reason_2": "Video 2 clearly displays the requested mix of green, purple, and blue, creating a more accurate multi-colored display.", "score_1": 3, "score_2": 7}, {"name": "Environmental Reflection (Mirror-like Effect)", "reason_1": "The reflection in Video 1 is present but somewhat dull and lacks the 'mirror-like' clarity described.", "reason_2": "Video 2 features a highly distinct, mirror-like reflection on the frozen lake that vividly doubles the spectacle as requested.", "score_1": 4, "score_2": 6}, {"name": "Landscape Detail (Snow Mounds & Mountains)", "reason_1": "Video 1 renders the mountains and snow mounds with high definition and realistic texture.", "reason_2": "Video 2 includes the required elements, but the mountains and snow appear slightly softer and less detailed than in Video 1.", "score_1": 6, "score_2": 4}, {"name": "Celestial Elements (Stars & Twinkle)", "reason_1": "Video 1 shows stars, but they are faint and lack the 'scattered diamonds' prominence.", "reason_2": "Video 2 renders brighter, more distinct stars that better fit the 'twinkle like scattered diamonds' description.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific color palette and environmental details (reflection, stars) more accurately according to the text description.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with sharp edges on the mountains and clear textures in the snow.", "reason_2": "The video appears slightly blurry and soft, lacking the high-definition crispness of Video 1.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness (Graceful Swirl)", "reason_1": "The movement of the aurora is fluid and graceful, matching the 'ballet' description well.", "reason_2": "The motion is smooth and consistent, effectively conveying the swirling nature of the lights.", "score_1": 5, "score_2": 5}, {"name": "Lighting Interaction & Contrast", "reason_1": "Video 1 has better contrast, making the light sources pop against the dark sky.", "reason_2": "Video 2 has a flatter lighting profile, which reduces the perceived depth of the scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates superior technical fidelity with sharper details and better contrast, whereas Video 2 suffers from slight softness.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Magical & Ethereal)", "reason_1": "The mood is realistic and cold, but lacks the heightened 'magical' quality requested.", "reason_2": "The combination of vibrant colors and the glowing reflection creates a strong sense of magic and ethereal beauty.", "score_1": 4, "score_2": 6}, {"name": "Color Harmony & Vibrancy", "reason_1": "The color palette is somewhat monochromatic (green), limiting the visual impact.", "reason_2": "The blend of purple, blue, and green creates a rich, harmonious, and vibrant aesthetic that is visually captivating.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing is balanced, with the mountains providing a solid anchor for the sky.", "reason_2": "The composition is equally effective, utilizing the reflection to balance the frame vertically.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 excels in creating the 'magical' and 'ethereal' atmosphere requested, largely due to its superior color harmony and vibrant presentation.", "cat_winner": "Video 2"}], "reason": "Video 2 is the superior generation because it adheres much more strictly to the specific color requirements of the prompt (green, purple, and blue) and successfully renders the 'mirror-like' reflection on the frozen lake. While Video 1 offers higher sharpness, it lacks the requested color variety and the vividness of the reflection found in Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 48.0, "total_score_2": 52.0, "elapsed_sec": 58.985} +{"pair_id": "086_seed_310", "sample_index": 86, "seed": 310, "prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_310_A young woman with flowing hair sits gracefully at.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_310_A young woman with flowing hair sits gracefully at.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_310_A young woman with flowing hair sits gracefully at.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_310_A young woman with flowing hair sits gracefully at.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Compliance (Rotation)\", \"reason_1\": \"Video 1 is essentially a static shot with no perceptible camera rotation, failing a core instruction of the prompt.\", \"reason_2\": \"Video 2 executes a clear orbital camera movement around the subject, revealing the background and dress details as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject & Object Completeness\", \"reason_1\": \"Video 1 correctly includes the woman, the piano, the beach, and the seagull.\", \"reason_2\": \"Video 2 also correctly includes all primary subjects: woman, piano, beach, and seagulls.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Lace Dress & Hair)\", \"reason_1\": \"Video 1 renders the lace texture and hair flow with high detail and clarity.\", \"reason_2\": \"Video 2 includes the attributes, but the lace details are slightly less defined due to the motion blur and lower resolution.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 followed the critical camera movement instruction, whereas Video 1 ignored it entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high-resolution textures on the skin and dress.\", \"reason_2\": \"The video appears softer and slightly blurry, lacking the crisp definition of Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Piano & Hands)\", \"reason_1\": \"The piano and hands remain structurally consistent throughout the clip.\", \"reason_2\": \"As the camera rotates, the piano keys and the subject's hands exhibit noticeable warping and morphing artifacts.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Dynamic Motion Realism\", \"reason_1\": \"The video is very static; the seagull's flight path is linear and stiff, lacking dynamic realism.\", \"reason_2\": \"The motion of the camera, the waves, and the wind in the hair feels more dynamic and physically plausible.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 1 offers superior image sharpness and stability, while Video 2 suffers from some morphing artifacts during the camera move.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Flow\", \"reason_1\": \"The composition is static and standard, lacking the cinematic flair requested by the prompt.\", \"reason_2\": \"The orbital shot creates a dynamic, cinematic feel that enhances the narrative of the scene.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Lighting (Golden Hour)\", \"reason_1\": \"Successfully captures the soft, golden light and pastel sky.\", \"reason_2\": \"Equally successful in rendering the sunset atmosphere and lighting conditions.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Visually pleasing due to high clarity, but feels like a moving photograph.\", \"reason_2\": \"More engaging to watch due to the movement, despite the lower technical fidelity.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the cinematic intent of the prompt through its camera work, creating a more engaging visual narrative.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully executes the specific and complex camera movement instruction ('camera begins to rotate around her'), which is central to the prompt's narrative. Video 1, while having higher static image fidelity, completely fails to perform the requested camera move, resulting in a static shot that ignores a key part of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Compliance (Rotation)", "reason_1": "Video 1 is essentially a static shot with no perceptible camera rotation, failing a core instruction of the prompt.", "reason_2": "Video 2 executes a clear orbital camera movement around the subject, revealing the background and dress details as requested.", "score_1": 1, "score_2": 9}, {"name": "Subject & Object Completeness", "reason_1": "Video 1 correctly includes the woman, the piano, the beach, and the seagull.", "reason_2": "Video 2 also correctly includes all primary subjects: woman, piano, beach, and seagulls.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Lace Dress & Hair)", "reason_1": "Video 1 renders the lace texture and hair flow with high detail and clarity.", "reason_2": "Video 2 includes the attributes, but the lace details are slightly less defined due to the motion blur and lower resolution.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 followed the critical camera movement instruction, whereas Video 1 ignored it entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high-resolution textures on the skin and dress.", "reason_2": "The video appears softer and slightly blurry, lacking the crisp definition of Video 1.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Piano & Hands)", "reason_1": "The piano and hands remain structurally consistent throughout the clip.", "reason_2": "As the camera rotates, the piano keys and the subject's hands exhibit noticeable warping and morphing artifacts.", "score_1": 7, "score_2": 3}, {"name": "Dynamic Motion Realism", "reason_1": "The video is very static; the seagull's flight path is linear and stiff, lacking dynamic realism.", "reason_2": "The motion of the camera, the waves, and the wind in the hair feels more dynamic and physically plausible.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 1 offers superior image sharpness and stability, while Video 2 suffers from some morphing artifacts during the camera move.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Flow", "reason_1": "The composition is static and standard, lacking the cinematic flair requested by the prompt.", "reason_2": "The orbital shot creates a dynamic, cinematic feel that enhances the narrative of the scene.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Lighting (Golden Hour)", "reason_1": "Successfully captures the soft, golden light and pastel sky.", "reason_2": "Equally successful in rendering the sunset atmosphere and lighting conditions.", "score_1": 5, "score_2": 5}, {"name": "Overall Visual Appeal", "reason_1": "Visually pleasing due to high clarity, but feels like a moving photograph.", "reason_2": "More engaging to watch due to the movement, despite the lower technical fidelity.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the cinematic intent of the prompt through its camera work, creating a more engaging visual narrative.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully executes the specific and complex camera movement instruction ('camera begins to rotate around her'), which is central to the prompt's narrative. Video 1, while having higher static image fidelity, completely fails to perform the requested camera move, resulting in a static shot that ignores a key part of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 42.0, "total_score_2": 48.0, "elapsed_sec": 52.564} +{"pair_id": "089_seed_42", "sample_index": 89, "seed": 42, "prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_42_The camera hurtles at breakneck speed through a di.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Manifestation (Vines & Tendrils)\", \"reason_1\": \"Video 1 fails to generate distinct vines; the imagery is a morphing, abstract texture that resembles melting wax rather than plant life.\", \"reason_2\": \"Video 2 clearly renders distinct vines and tendrils that twist and curl, aligning perfectly with the prompt's description of a 'chaotic dance'.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Tunnel to Labyrinth)\", \"reason_1\": \"The environment in Video 1 is ambiguous and lacks the structural definition of a tunnel or labyrinth, appearing more like a fluid simulation.\", \"reason_2\": \"Video 2 establishes a clear tunnel-like structure with depth, creating the sense of a 'labyrinth' that the camera is navigating through.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Fidelity (Color Contrast)\", \"reason_1\": \"Video 1 has a muddy color palette where the greens blend indistinctly with the browns.\", \"reason_2\": \"Video 2 successfully executes the requested 'vibrant green' contrasting starkly against 'dark, earthy tones', creating a visually distinct look.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the specific subjects (vines, tendrils) and the environment (tunnel/labyrinth) requested. Video 1 fails to render recognizable vines, presenting instead abstract, melting textures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Texture Consistency)\", \"reason_1\": \"The textures in Video 1 are highly unstable, constantly morphing and melting in a way that defies physical logic.\", \"reason_2\": \"Video 2 maintains the shape and form of the vines and walls reasonably well, despite the fast motion, avoiding the 'melting' effect seen in Video 1.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Definition\", \"reason_1\": \"The image is blurry and lacks definition, making it difficult to discern specific details.\", \"reason_2\": \"Video 2 is sharper, allowing the viewer to see the individual strands of the vines and the texture of the walls.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion feels like a warping distortion rather than forward movement through space.\", \"reason_2\": \"The motion in Video 2 feels like a camera physically moving through a 3D space, providing a more realistic sense of speed and depth.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains significantly better structural integrity and visual clarity. Video 1 suffers from severe morphological instability, where objects lose their form and melt into the background.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Thrilling/Unsettling)\", \"reason_1\": \"The atmosphere is confusing rather than thrilling; the lack of recognizable forms reduces the impact.\", \"reason_2\": \"The combination of the dark tunnel and the aggressive, glowing green vines creates the specific 'thrilling and unsettling' mood requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Dynamics (Disorienting Angles)\", \"reason_1\": \"The camera movement is linear but the warping visuals create a disorienting effect, though unintentional.\", \"reason_2\": \"Video 2 uses a more dynamic camera path that weaves through the vines, better simulating the 'disorienting angles' described in the prompt.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Progression (The 'Emergence')\", \"reason_1\": \"There is no clear sense of progression or transformation; the video is a static loop of morphing textures.\", \"reason_2\": \"Video 2 conveys a sense of journey and progression, giving the impression of moving deeper into the maze as the vines expand.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 effectively captures the 'thrilling and unsettling' atmosphere through better lighting and composition. Video 1's abstract nature makes it feel more like a glitch than a narrative scene.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully renders the core semantic elements of the prompt—specifically the 'vines' and the 'tunnel' structure—with recognizable forms and distinct textures. Video 1 suffers from severe abstraction and morphological instability, appearing more like a fluid simulation than a physical environment. Video 2 also captures the requested color contrast and the 'thrilling' atmosphere much more effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Manifestation (Vines & Tendrils)", "reason_1": "Video 1 fails to generate distinct vines; the imagery is a morphing, abstract texture that resembles melting wax rather than plant life.", "reason_2": "Video 2 clearly renders distinct vines and tendrils that twist and curl, aligning perfectly with the prompt's description of a 'chaotic dance'.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Tunnel to Labyrinth)", "reason_1": "The environment in Video 1 is ambiguous and lacks the structural definition of a tunnel or labyrinth, appearing more like a fluid simulation.", "reason_2": "Video 2 establishes a clear tunnel-like structure with depth, creating the sense of a 'labyrinth' that the camera is navigating through.", "score_1": 2, "score_2": 8}, {"name": "Attribute Fidelity (Color Contrast)", "reason_1": "Video 1 has a muddy color palette where the greens blend indistinctly with the browns.", "reason_2": "Video 2 successfully executes the requested 'vibrant green' contrasting starkly against 'dark, earthy tones', creating a visually distinct look.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the specific subjects (vines, tendrils) and the environment (tunnel/labyrinth) requested. Video 1 fails to render recognizable vines, presenting instead abstract, melting textures.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Texture Consistency)", "reason_1": "The textures in Video 1 are highly unstable, constantly morphing and melting in a way that defies physical logic.", "reason_2": "Video 2 maintains the shape and form of the vines and walls reasonably well, despite the fast motion, avoiding the 'melting' effect seen in Video 1.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Definition", "reason_1": "The image is blurry and lacks definition, making it difficult to discern specific details.", "reason_2": "Video 2 is sharper, allowing the viewer to see the individual strands of the vines and the texture of the walls.", "score_1": 3, "score_2": 7}, {"name": "Motion Coherence", "reason_1": "The motion feels like a warping distortion rather than forward movement through space.", "reason_2": "The motion in Video 2 feels like a camera physically moving through a 3D space, providing a more realistic sense of speed and depth.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains significantly better structural integrity and visual clarity. Video 1 suffers from severe morphological instability, where objects lose their form and melt into the background.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Thrilling/Unsettling)", "reason_1": "The atmosphere is confusing rather than thrilling; the lack of recognizable forms reduces the impact.", "reason_2": "The combination of the dark tunnel and the aggressive, glowing green vines creates the specific 'thrilling and unsettling' mood requested.", "score_1": 3, "score_2": 7}, {"name": "Camera Dynamics (Disorienting Angles)", "reason_1": "The camera movement is linear but the warping visuals create a disorienting effect, though unintentional.", "reason_2": "Video 2 uses a more dynamic camera path that weaves through the vines, better simulating the 'disorienting angles' described in the prompt.", "score_1": 4, "score_2": 6}, {"name": "Narrative Progression (The 'Emergence')", "reason_1": "There is no clear sense of progression or transformation; the video is a static loop of morphing textures.", "reason_2": "Video 2 conveys a sense of journey and progression, giving the impression of moving deeper into the maze as the vines expand.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 effectively captures the 'thrilling and unsettling' atmosphere through better lighting and composition. Video 1's abstract nature makes it feel more like a glitch than a narrative scene.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully renders the core semantic elements of the prompt—specifically the 'vines' and the 'tunnel' structure—with recognizable forms and distinct textures. Video 1 suffers from severe abstraction and morphological instability, appearing more like a fluid simulation than a physical environment. Video 2 also captures the requested color contrast and the 'thrilling' atmosphere much more effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 67.0, "elapsed_sec": 60.829} +{"pair_id": "091_seed_930", "sample_index": 91, "seed": 930, "prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_091_seed_930_A thrilling first-person perspective races through.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Progression (City to Digital Transition)\", \"reason_1\": \"Video 1 completely fails to execute the transition; it remains a standard street race throughout the entire clip with no shift to a digital realm.\", \"reason_2\": \"Video 2 perfectly executes the prompt's narrative arc, shifting from a physical city street into a distinct, glowing blue digital tunnel.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Cyberpunk Cityscape)\", \"reason_1\": \"Video 1 depicts a very clear, detailed cyberpunk city with distinct buildings, crowds, and signage.\", \"reason_2\": \"Video 2's city environment is heavily obscured by motion blur and quickly dissolves, making the initial setting less distinct than Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Perspective (FPV Racing)\", \"reason_1\": \"Video 1 maintains a consistent first-person vehicle perspective.\", \"reason_2\": \"Video 2 maintains a consistent first-person perspective, even as the environment changes.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 followed the prompt's narrative instructions, specifically the transition into a digital realm. Video 1 ignored the second half of the prompt entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Blur & Speed Simulation\", \"reason_1\": \"Video 1 has standard motion blur, but it feels like a moderate speed drive rather than a 'thrilling' race.\", \"reason_2\": \"Video 2 utilizes aggressive radial blur and streaking effects that effectively simulate high-velocity racing and the requested 'dynamic blur effects'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 maintains high texture resolution and sharpness on the buildings and road.\", \"reason_2\": \"Video 2 is quite blurry and lacks definition, likely due to the heavy effects used to simulate speed and the transition.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Stability (Object Persistence)\", \"reason_1\": \"Video 1 is very stable with no noticeable morphing of the vehicle or buildings.\", \"reason_2\": \"Video 2 suffers from significant morphing and instability as the environment dissolves into the digital tunnel.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"While Video 1 is sharper, Video 2 better captures the 'dynamic' nature of the prompt. The prompt explicitly requested 'dynamic blur effects' and a 'blur of color,' which Video 2 prioritized to create the sensation of speed.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Sensation of Speed & Urgency\", \"reason_1\": \"The pacing in Video 1 is steady and controlled, lacking the 'urgency' and 'exhilarating sensation' requested.\", \"reason_2\": \"Video 2 creates a visceral sense of acceleration and speed, aligning perfectly with the emotional tone of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Effects (VFX) Integration\", \"reason_1\": \"Video 1 lacks significant visual effects beyond standard rendering.\", \"reason_2\": \"Video 2 integrates the 'swirling streams of code' and light effects effectively to create the 'mesmerizing tapestry' described.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony & Atmosphere\", \"reason_1\": \"Video 1 has a pleasing, vibrant neon palette typical of cyberpunk.\", \"reason_2\": \"Video 2 shifts its palette dramatically to cool blues and cyans during the transition, effectively signaling the shift to the 'digital realm'.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the 'exhilarating' and 'thrilling' mood requested by the prompt through its pacing and effects. Video 1 is aesthetically pleasing but lacks the requested intensity.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully attempts and executes the critical narrative arc required by the prompt: the transition from a physical city to a digital realm. While Video 1 offers higher static visual fidelity, it completely ignores the second half of the prompt (the transition to code/data), remaining a standard city drive. Video 2 captures the requested 'sensation of speed,' 'dynamic blur,' and the specific 'digital realm' aesthetic, fulfilling the prompt's complex structural demands.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A thrilling first-person perspective races through a vibrant cyberpunk cityscape, where towering skyscrapers adorned with neon lights flash by in a blur of color and motion. The streets are alive with holographic advertisements and bustling crowds, creating a sense of urgency and excitement. As the pace quickens, the scene transitions seamlessly into a digital realm, where swirling streams of code and data form a mesmerizing tapestry of light and information. The rapid transitions between the physical and digital worlds are accentuated by dynamic blur effects, creating an exhilarating sensation of speed and immersion in this futuristic, high-tech environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Progression (City to Digital Transition)", "reason_1": "Video 1 completely fails to execute the transition; it remains a standard street race throughout the entire clip with no shift to a digital realm.", "reason_2": "Video 2 perfectly executes the prompt's narrative arc, shifting from a physical city street into a distinct, glowing blue digital tunnel.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Cyberpunk Cityscape)", "reason_1": "Video 1 depicts a very clear, detailed cyberpunk city with distinct buildings, crowds, and signage.", "reason_2": "Video 2's city environment is heavily obscured by motion blur and quickly dissolves, making the initial setting less distinct than Video 1.", "score_1": 7, "score_2": 3}, {"name": "Subject Perspective (FPV Racing)", "reason_1": "Video 1 maintains a consistent first-person vehicle perspective.", "reason_2": "Video 2 maintains a consistent first-person perspective, even as the environment changes.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 followed the prompt's narrative instructions, specifically the transition into a digital realm. Video 1 ignored the second half of the prompt entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Blur & Speed Simulation", "reason_1": "Video 1 has standard motion blur, but it feels like a moderate speed drive rather than a 'thrilling' race.", "reason_2": "Video 2 utilizes aggressive radial blur and streaking effects that effectively simulate high-velocity racing and the requested 'dynamic blur effects'.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 maintains high texture resolution and sharpness on the buildings and road.", "reason_2": "Video 2 is quite blurry and lacks definition, likely due to the heavy effects used to simulate speed and the transition.", "score_1": 8, "score_2": 2}, {"name": "Temporal Stability (Object Persistence)", "reason_1": "Video 1 is very stable with no noticeable morphing of the vehicle or buildings.", "reason_2": "Video 2 suffers from significant morphing and instability as the environment dissolves into the digital tunnel.", "score_1": 8, "score_2": 2}], "cat_reason": "While Video 1 is sharper, Video 2 better captures the 'dynamic' nature of the prompt. The prompt explicitly requested 'dynamic blur effects' and a 'blur of color,' which Video 2 prioritized to create the sensation of speed.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Sensation of Speed & Urgency", "reason_1": "The pacing in Video 1 is steady and controlled, lacking the 'urgency' and 'exhilarating sensation' requested.", "reason_2": "Video 2 creates a visceral sense of acceleration and speed, aligning perfectly with the emotional tone of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Visual Effects (VFX) Integration", "reason_1": "Video 1 lacks significant visual effects beyond standard rendering.", "reason_2": "Video 2 integrates the 'swirling streams of code' and light effects effectively to create the 'mesmerizing tapestry' described.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony & Atmosphere", "reason_1": "Video 1 has a pleasing, vibrant neon palette typical of cyberpunk.", "reason_2": "Video 2 shifts its palette dramatically to cool blues and cyans during the transition, effectively signaling the shift to the 'digital realm'.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the 'exhilarating' and 'thrilling' mood requested by the prompt through its pacing and effects. Video 1 is aesthetically pleasing but lacks the requested intensity.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully attempts and executes the critical narrative arc required by the prompt: the transition from a physical city to a digital realm. While Video 1 offers higher static visual fidelity, it completely ignores the second half of the prompt (the transition to code/data), remaining a standard city drive. Video 2 captures the requested 'sensation of speed,' 'dynamic blur,' and the specific 'digital realm' aesthetic, fulfilling the prompt's complex structural demands.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 41.0, "total_score_2": 49.0, "elapsed_sec": 58.597} +{"pair_id": "094_seed_310", "sample_index": 94, "seed": 310, "prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_310_In a mesmerizing macro view delicate water droplet.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_310_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_310_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_310_In a mesmerizing macro view delicate water droplet.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition (Web & Droplets)\", \"reason_1\": \"Video 1 clearly renders the spider web strands and the spherical water droplets clinging to them.\", \"reason_2\": \"Video 2 presents a blurry, abstract texture where neither the web strands nor the droplets are clearly defined or recognizable.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Transformation Logic (Galaxies Within)\", \"reason_1\": \"Video 1 interprets the prompt by placing a galaxy in the center of the web tunnel, rather than inside the droplets, but it successfully includes the 'swirling galaxy' element.\", \"reason_2\": \"Video 2 shows a vague, blurry light source in the center that vaguely resembles a galaxy but lacks any distinct detail or transformation logic.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Atmosphere (Dim & Ethereal)\", \"reason_1\": \"Video 1 captures the 'dimly lit' and 'mysterious' atmosphere with high contrast and glowing highlights.\", \"reason_2\": \"Video 2 has a washed-out, purple-tinted palette that lacks the depth and mystery requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the primary subjects (web and droplets) and the environmental context. Video 2 fails to render distinct subjects, resulting in an abstract blur.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Macro Visual Fidelity\", \"reason_1\": \"The video maintains high sharpness and clarity, appropriate for a 'macro view'.\", \"reason_2\": \"The video is extremely blurry and lacks focus, failing the basic technical requirement of a macro shot.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Structural Stability (Web Geometry)\", \"reason_1\": \"The web structure remains consistent and geometrically sound throughout the camera movement.\", \"reason_2\": \"The structure is amorphous and unstable, appearing more like shifting noise than a woven web.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Reflection Quality\", \"reason_1\": \"Video 1 features realistic specular highlights on the droplets, simulating the 'shimmering' effect.\", \"reason_2\": \"Video 2 lacks distinct lighting interactions; the image is flat and muddy.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior technical execution with sharp focus and stable geometry. Video 2 suffers from severe blurriness and lack of definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Depth (Tunnel Effect)\", \"reason_1\": \"Video 1 utilizes a strong central perspective (tunnel composition) that draws the eye inward, enhancing the 'zoom' effect.\", \"reason_2\": \"Video 2 lacks a clear focal point or depth, resulting in a flat and unengaging composition.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Aesthetic Appeal (Mesmerizing Quality)\", \"reason_1\": \"The combination of the web pattern and the central galaxy creates a visually striking and 'mesmerizing' image.\", \"reason_2\": \"The visual is confusing and lacks aesthetic polish, failing to evoke the 'enchanting' mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Intent\", \"reason_1\": \"The camera movement feels like a deliberate, smooth push-in towards the center.\", \"reason_2\": \"The motion feels like a slow, indistinct drift without clear direction or purpose.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a compelling visual experience with strong composition and depth. Video 2 fails to engage due to its lack of clarity.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully renders a high-fidelity macro scene with a distinct spider web structure and water droplets, creating a strong sense of depth and atmosphere. While it interprets the 'galaxy within' prompt by placing a galaxy in the center of the web tunnel rather than strictly inside the droplets, it maintains high visual coherence and aesthetic appeal. Video 2, by contrast, is excessively blurry and abstract, failing to clearly define the web or the droplets, and lacks the visual clarity required for a 'mesmerizing macro view'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition (Web & Droplets)", "reason_1": "Video 1 clearly renders the spider web strands and the spherical water droplets clinging to them.", "reason_2": "Video 2 presents a blurry, abstract texture where neither the web strands nor the droplets are clearly defined or recognizable.", "score_1": 9, "score_2": 1}, {"name": "Transformation Logic (Galaxies Within)", "reason_1": "Video 1 interprets the prompt by placing a galaxy in the center of the web tunnel, rather than inside the droplets, but it successfully includes the 'swirling galaxy' element.", "reason_2": "Video 2 shows a vague, blurry light source in the center that vaguely resembles a galaxy but lacks any distinct detail or transformation logic.", "score_1": 6, "score_2": 4}, {"name": "Environmental Atmosphere (Dim & Ethereal)", "reason_1": "Video 1 captures the 'dimly lit' and 'mysterious' atmosphere with high contrast and glowing highlights.", "reason_2": "Video 2 has a washed-out, purple-tinted palette that lacks the depth and mystery requested by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the primary subjects (web and droplets) and the environmental context. Video 2 fails to render distinct subjects, resulting in an abstract blur.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Macro Visual Fidelity", "reason_1": "The video maintains high sharpness and clarity, appropriate for a 'macro view'.", "reason_2": "The video is extremely blurry and lacks focus, failing the basic technical requirement of a macro shot.", "score_1": 9, "score_2": 1}, {"name": "Structural Stability (Web Geometry)", "reason_1": "The web structure remains consistent and geometrically sound throughout the camera movement.", "reason_2": "The structure is amorphous and unstable, appearing more like shifting noise than a woven web.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Reflection Quality", "reason_1": "Video 1 features realistic specular highlights on the droplets, simulating the 'shimmering' effect.", "reason_2": "Video 2 lacks distinct lighting interactions; the image is flat and muddy.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior technical execution with sharp focus and stable geometry. Video 2 suffers from severe blurriness and lack of definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Depth (Tunnel Effect)", "reason_1": "Video 1 utilizes a strong central perspective (tunnel composition) that draws the eye inward, enhancing the 'zoom' effect.", "reason_2": "Video 2 lacks a clear focal point or depth, resulting in a flat and unengaging composition.", "score_1": 9, "score_2": 1}, {"name": "Aesthetic Appeal (Mesmerizing Quality)", "reason_1": "The combination of the web pattern and the central galaxy creates a visually striking and 'mesmerizing' image.", "reason_2": "The visual is confusing and lacks aesthetic polish, failing to evoke the 'enchanting' mood.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Intent", "reason_1": "The camera movement feels like a deliberate, smooth push-in towards the center.", "reason_2": "The motion feels like a slow, indistinct drift without clear direction or purpose.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a compelling visual experience with strong composition and depth. Video 2 fails to engage due to its lack of clarity.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully renders a high-fidelity macro scene with a distinct spider web structure and water droplets, creating a strong sense of depth and atmosphere. While it interprets the 'galaxy within' prompt by placing a galaxy in the center of the web tunnel rather than strictly inside the droplets, it maintains high visual coherence and aesthetic appeal. Video 2, by contrast, is excessively blurry and abstract, failing to clearly define the web or the droplets, and lacks the visual clarity required for a 'mesmerizing macro view'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 58.183} +{"pair_id": "097_seed_42", "sample_index": 97, "seed": 42, "prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_42_An aerial view reveals an expansive field of vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_42_An aerial view reveals an expansive field of vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_42_An aerial view reveals an expansive field of vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_42_An aerial view reveals an expansive field of vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dynamic Motion Fidelity (Wave-like Sway)\", \"reason_1\": \"Video 1 perfectly renders the 'mesmerizing wave-like motion' where the flowers move rhythmically in unison, mimicking ocean waves as requested.\", \"reason_2\": \"Video 2 shows random, chaotic movement of individual plants with no cohesive wave pattern, failing the specific motion prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 features a distinct, warm golden light source that creates the requested 'dreamlike quality' and lens flare effects.\", \"reason_2\": \"Video 2 has flat, somewhat washed-out lighting that lacks the specific 'warm, golden glow' described in the text.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Density & Color Vibrancy\", \"reason_1\": \"Video 1 depicts a dense, 'expansive field' of 'vibrant pink flowers' that blend seamlessly with the green, creating the requested tapestry.\", \"reason_2\": \"Video 2 shows a sparser field with less color saturation, failing to achieve the 'vibrant' and 'stunning tapestry' aesthetic.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 precisely executes the complex motion and lighting requirements of the prompt, whereas Video 2 fails to generate the specific 'wave-like' movement and lacks the requested vibrancy.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined edges on the flowers and foliage.\", \"reason_2\": \"The video is blurry and lacks definition, appearing like a low-resolution upscale.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The camera glide is smooth and the animation of the flowers is fluid without stuttering.\", \"reason_2\": \"The motion feels jerky and the frame rate appears lower, disrupting the viewing experience.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Consistency\", \"reason_1\": \"The texture of the flower petals remains consistent throughout the clip.\", \"reason_2\": \"The textures are muddy and indistinct, making it hard to distinguish individual petals clearly.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high visual clarity and smooth motion, while Video 2 suffers from blurriness and lower perceived resolution.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Evocation of Mood (Tranquility & Wonder)\", \"reason_1\": \"The combination of the rhythmic wave motion and golden light successfully evokes the 'sense of tranquility and wonder' requested.\", \"reason_2\": \"The chaotic movement and dull colors fail to evoke any specific emotional response or sense of wonder.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing allows the wave motion to flow naturally across the screen, creating a pleasing composition.\", \"reason_2\": \"The composition is functional but lacks artistic intent, feeling more like a random snapshot.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Aesthetic Appeal\", \"reason_1\": \"The colors are rich and harmonious, creating a beautiful, stylized look.\", \"reason_2\": \"The color palette is dull and lacks the aesthetic appeal necessary for a 'dreamlike' scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the emotional response of 'tranquility and wonder' through superior composition and color grading, whereas Video 2 feels mundane.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific 'wave-like motion' described in the prompt, creating a rhythmic, mesmerizing effect that Video 2 completely lacks. Additionally, Video 1 offers superior image clarity, vibrant color saturation, and a distinct golden lighting atmosphere that aligns perfectly with the 'dreamlike' aesthetic requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dynamic Motion Fidelity (Wave-like Sway)", "reason_1": "Video 1 perfectly renders the 'mesmerizing wave-like motion' where the flowers move rhythmically in unison, mimicking ocean waves as requested.", "reason_2": "Video 2 shows random, chaotic movement of individual plants with no cohesive wave pattern, failing the specific motion prompt.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 features a distinct, warm golden light source that creates the requested 'dreamlike quality' and lens flare effects.", "reason_2": "Video 2 has flat, somewhat washed-out lighting that lacks the specific 'warm, golden glow' described in the text.", "score_1": 8, "score_2": 2}, {"name": "Subject Density & Color Vibrancy", "reason_1": "Video 1 depicts a dense, 'expansive field' of 'vibrant pink flowers' that blend seamlessly with the green, creating the requested tapestry.", "reason_2": "Video 2 shows a sparser field with less color saturation, failing to achieve the 'vibrant' and 'stunning tapestry' aesthetic.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 precisely executes the complex motion and lighting requirements of the prompt, whereas Video 2 fails to generate the specific 'wave-like' movement and lacks the requested vibrancy.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined edges on the flowers and foliage.", "reason_2": "The video is blurry and lacks definition, appearing like a low-resolution upscale.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Stability", "reason_1": "The camera glide is smooth and the animation of the flowers is fluid without stuttering.", "reason_2": "The motion feels jerky and the frame rate appears lower, disrupting the viewing experience.", "score_1": 8, "score_2": 2}, {"name": "Texture Consistency", "reason_1": "The texture of the flower petals remains consistent throughout the clip.", "reason_2": "The textures are muddy and indistinct, making it hard to distinguish individual petals clearly.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high visual clarity and smooth motion, while Video 2 suffers from blurriness and lower perceived resolution.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Evocation of Mood (Tranquility & Wonder)", "reason_1": "The combination of the rhythmic wave motion and golden light successfully evokes the 'sense of tranquility and wonder' requested.", "reason_2": "The chaotic movement and dull colors fail to evoke any specific emotional response or sense of wonder.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition", "reason_1": "The framing allows the wave motion to flow naturally across the screen, creating a pleasing composition.", "reason_2": "The composition is functional but lacks artistic intent, feeling more like a random snapshot.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Aesthetic Appeal", "reason_1": "The colors are rich and harmonious, creating a beautiful, stylized look.", "reason_2": "The color palette is dull and lacks the aesthetic appeal necessary for a 'dreamlike' scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the emotional response of 'tranquility and wonder' through superior composition and color grading, whereas Video 2 feels mundane.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific 'wave-like motion' described in the prompt, creating a rhythmic, mesmerizing effect that Video 2 completely lacks. Additionally, Video 1 offers superior image clarity, vibrant color saturation, and a distinct golden lighting atmosphere that aligns perfectly with the 'dreamlike' aesthetic requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 55.414} +{"pair_id": "099_seed_930", "sample_index": 99, "seed": 930, "prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_930_In a sunlit studio a painter with tousled hair and.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_930_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_099_seed_930_In a sunlit studio a painter with tousled hair and.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_099_seed_930_In a sunlit studio a painter with tousled hair and.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Tool Specificity (Palette Knife vs. Brush)\", \"reason_1\": \"Video 1 completely ignores the prompt's instruction to use a 'palette knife', instead showing the artist using a standard paintbrush.\", \"reason_2\": \"Video 2 correctly generates a palette knife and depicts the artist using it to spread paint, aligning perfectly with the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Presentation (Full Body vs. Hand Focus)\", \"reason_1\": \"Video 1 accurately depicts the 'painter with tousled hair' standing in the studio as the primary subject.\", \"reason_2\": \"Video 2 focuses almost exclusively on the hand and canvas, cropping out the painter's face and body, missing the 'stands before a large canvas' description.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Palette & Atmosphere\", \"reason_1\": \"Video 1 features the requested colors but the lighting is somewhat flat and the 'fiery oranges' are less vibrant.\", \"reason_2\": \"Video 2 captures the 'fiery oranges' and 'rich blues' with high saturation and contrast, better matching the 'sunlit' and 'vibrant' descriptors.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Logic (Blending & Creating)\", \"reason_1\": \"The painting action in Video 1 feels disconnected; the brush moves, but the paint on the canvas does not logically follow the stroke.\", \"reason_2\": \"Video 2 shows a logical cause-and-effect where the knife moves and leaves a trail of thick paint, accurately depicting the 'blending' action.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 correctly identifies and renders the specific tool (palette knife) and the resulting texture described in the prompt, whereas Video 1 fails this specific instruction.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Hand & Tool)\", \"reason_1\": \"Video 1 exhibits severe hallucination; the hand and brush morph into each other, and the brush handle disappears or bends unnaturally.\", \"reason_2\": \"Video 2 maintains the rigid shape of the palette knife and the anatomical structure of the hand throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Texture Fidelity (Impasto/Brushstrokes)\", \"reason_1\": \"The paint in Video 1 looks like a flat digital texture map with no physical depth.\", \"reason_2\": \"Video 2 renders the 'texture and depth' of the paint exceptionally well, showing realistic impasto effects and light interaction with the ridges of the paint.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion in Video 1 is jerky and the interaction between the brush and canvas lacks physical weight.\", \"reason_2\": \"The movement of the knife in Video 2 is smooth and carries a sense of friction and weight against the canvas surface.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and texture rendering, while Video 1 suffers from significant AI artifacts and morphing.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Appeal & Color Harmony\", \"reason_1\": \"The visual style is somewhat messy and lacks the 'breathtaking' quality requested.\", \"reason_2\": \"The colors are striking and the composition is clean, creating a visually pleasing 'symphony of hues'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Focus & Intent\", \"reason_1\": \"The camera is static and wide, failing to emphasize the 'intricate details' of the brushstrokes.\", \"reason_2\": \"The camera framing is tight on the action, effectively showcasing the details of the palette knife work as requested.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Narrative Progression (Emergence of Landscape)\", \"reason_1\": \"Video 1 shows a static painting that doesn't seem to 'emerge' or change significantly.\", \"reason_2\": \"Video 2 shows the active creation of the sunburst effect, giving a better sense of the artwork 'coming to life'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a more aesthetically pleasing and focused presentation of the artwork's creation, aligning better with the artistic intent of the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior adherence to the specific tool requirement (palette knife) and its exceptional rendering of paint texture and physics. While Video 1 captures the full body of the painter, it fails to use the requested tool (using a brush instead) and suffers from severe morphological instability where the hand and brush merge. Video 2 delivers a high-fidelity, physically plausible depiction of the painting process with vibrant colors and realistic impasto effects.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit studio, a painter with tousled hair and a focused expression stands before a large canvas, surrounded by an array of vibrant paints and brushes. The camera captures the artist's hand as it deftly moves across the canvas, blending rich blues and fiery oranges with a palette knife, creating a mesmerizing dance of colors. As the scene unfolds, the painter steps back, revealing the gradual emergence of a breathtaking landscape, with rolling hills and a golden sky. The camera zooms in on the intricate details, showcasing the texture and depth of the brushstrokes, as the artwork comes to life in a symphony of hues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Tool Specificity (Palette Knife vs. Brush)", "reason_1": "Video 1 completely ignores the prompt's instruction to use a 'palette knife', instead showing the artist using a standard paintbrush.", "reason_2": "Video 2 correctly generates a palette knife and depicts the artist using it to spread paint, aligning perfectly with the prompt.", "score_1": 1, "score_2": 9}, {"name": "Subject Presentation (Full Body vs. Hand Focus)", "reason_1": "Video 1 accurately depicts the 'painter with tousled hair' standing in the studio as the primary subject.", "reason_2": "Video 2 focuses almost exclusively on the hand and canvas, cropping out the painter's face and body, missing the 'stands before a large canvas' description.", "score_1": 8, "score_2": 2}, {"name": "Color Palette & Atmosphere", "reason_1": "Video 1 features the requested colors but the lighting is somewhat flat and the 'fiery oranges' are less vibrant.", "reason_2": "Video 2 captures the 'fiery oranges' and 'rich blues' with high saturation and contrast, better matching the 'sunlit' and 'vibrant' descriptors.", "score_1": 4, "score_2": 6}, {"name": "Action Logic (Blending & Creating)", "reason_1": "The painting action in Video 1 feels disconnected; the brush moves, but the paint on the canvas does not logically follow the stroke.", "reason_2": "Video 2 shows a logical cause-and-effect where the knife moves and leaves a trail of thick paint, accurately depicting the 'blending' action.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 correctly identifies and renders the specific tool (palette knife) and the resulting texture described in the prompt, whereas Video 1 fails this specific instruction.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Hand & Tool)", "reason_1": "Video 1 exhibits severe hallucination; the hand and brush morph into each other, and the brush handle disappears or bends unnaturally.", "reason_2": "Video 2 maintains the rigid shape of the palette knife and the anatomical structure of the hand throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Texture Fidelity (Impasto/Brushstrokes)", "reason_1": "The paint in Video 1 looks like a flat digital texture map with no physical depth.", "reason_2": "Video 2 renders the 'texture and depth' of the paint exceptionally well, showing realistic impasto effects and light interaction with the ridges of the paint.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion in Video 1 is jerky and the interaction between the brush and canvas lacks physical weight.", "reason_2": "The movement of the knife in Video 2 is smooth and carries a sense of friction and weight against the canvas surface.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates professional-grade stability and texture rendering, while Video 1 suffers from significant AI artifacts and morphing.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Appeal & Color Harmony", "reason_1": "The visual style is somewhat messy and lacks the 'breathtaking' quality requested.", "reason_2": "The colors are striking and the composition is clean, creating a visually pleasing 'symphony of hues'.", "score_1": 3, "score_2": 7}, {"name": "Camera Focus & Intent", "reason_1": "The camera is static and wide, failing to emphasize the 'intricate details' of the brushstrokes.", "reason_2": "The camera framing is tight on the action, effectively showcasing the details of the palette knife work as requested.", "score_1": 4, "score_2": 6}, {"name": "Narrative Progression (Emergence of Landscape)", "reason_1": "Video 1 shows a static painting that doesn't seem to 'emerge' or change significantly.", "reason_2": "Video 2 shows the active creation of the sunburst effect, giving a better sense of the artwork 'coming to life'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a more aesthetically pleasing and focused presentation of the artwork's creation, aligning better with the artistic intent of the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior adherence to the specific tool requirement (palette knife) and its exceptional rendering of paint texture and physics. While Video 1 captures the full body of the painter, it fails to use the requested tool (using a brush instead) and suffers from severe morphological instability where the hand and brush merge. Video 2 delivers a high-fidelity, physically plausible depiction of the painting process with vibrant colors and realistic impasto effects.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 34.0, "total_score_2": 66.0, "elapsed_sec": 64.28} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3_summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..178b75905b4d01ca545615f928f82ff1ef595b33 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3_summary.json @@ -0,0 +1,31 @@ +{ + "total": 38, + "success": 38, + "counts": { + "yw002-1-sage-baseline": 23, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 15, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.6052631578947368, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.39473684210526316 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.6052631578947368, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.39473684210526316 + }, + "latency_sec": { + "mean": 59.08502631578947, + "median": 58.358000000000004, + "min": 52.56, + "max": 71.732 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_3.jsonl", + "shard_count": 8, + "shard_index": 3 +} \ No newline at end of file diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4.jsonl b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c047e1fbae2525e8f4e2131ac081f6db739a14da --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4.jsonl @@ -0,0 +1,37 @@ +{"pair_id": "001_seed_310", "sample_index": 1, "seed": 310, "prompt": "A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_001_seed_310_A polished metal ball gleaming under soft ambient.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_310_A polished metal ball gleaming under soft ambient.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_001_seed_310_A polished metal ball gleaming under soft ambient.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_310_A polished metal ball gleaming under soft ambient.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Motion & Journey)\", \"reason_1\": \"Video 1 is essentially a static shot with no perceptible movement of the ball across the table, failing the 'journey' and 'glides' instruction.\", \"reason_2\": \"Video 2 clearly depicts the ball rolling across the surface, fulfilling the core action requirement of the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Attributes (Dark Wood & Sleekness)\", \"reason_1\": \"Video 1 features a lighter, matte-finish wood surface that contradicts the 'sleek, dark wooden tabletop' description.\", \"reason_2\": \"Video 2 renders a highly polished, darker wood surface that aligns much better with the 'sleek' and 'dark' descriptors.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attributes (Polished Metal)\", \"reason_1\": \"Video 1 accurately renders a polished metal sphere with realistic reflections.\", \"reason_2\": \"Video 2 also accurately renders a polished metal sphere, though the reflections are slightly more stylized.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 follows the prompt's instructions regarding motion and environment, whereas Video 1 fails to generate the requested movement.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Dynamic Motion Presence\", \"reason_1\": \"The video lacks dynamic range; it is effectively a still image.\", \"reason_2\": \"The video displays consistent, fluid motion of the subject across the frame.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 has superior photorealism, sharpness, and natural texture rendering.\", \"reason_2\": \"Video 2 has a slightly 'CGI' look with softer textures and less realistic lighting falloff compared to Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Physics & Interaction (Rolling)\", \"reason_1\": \"No physics are simulated as there is no movement.\", \"reason_2\": \"The ball rotates and moves across the floor with appropriate momentum and perspective changes.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"While Video 1 has higher static image fidelity, Video 2 wins this category by actually functioning as a video with dynamic motion and physics.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (The Journey)\", \"reason_1\": \"There is no narrative progression; the scene is frozen in time.\", \"reason_2\": \"The video captures the 'journey' aspect, showing the ball traversing space, which creates a sense of time passing.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Atmospheric Lighting (Soft Ambient)\", \"reason_1\": \"Video 1 captures the 'soft ambient lighting' and 'serene atmosphere' perfectly with naturalistic tones.\", \"reason_2\": \"Video 2 uses somewhat harsh, high-contrast lighting with strong blue reflections that feel less 'soft' and 'ambient' than requested.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Engagement (Mesmerizing Dance)\", \"reason_1\": \"The lack of movement makes the video visually unengaging over time.\", \"reason_2\": \"The movement of the ball and the shifting reflections create the 'mesmerizing dance' described in the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 provides the narrative progression of a 'journey' and the visual engagement of moving reflections, which Video 1 lacks.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully executes the core action required by the prompt: the ball actually moves across the surface ('begins its journey', 'glides effortlessly'). Video 1, while photorealistic, is effectively a static image with no perceptible motion, failing the fundamental requirement of a video generation task involving movement.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Motion & Journey)", "reason_1": "Video 1 is essentially a static shot with no perceptible movement of the ball across the table, failing the 'journey' and 'glides' instruction.", "reason_2": "Video 2 clearly depicts the ball rolling across the surface, fulfilling the core action requirement of the prompt.", "score_1": 1, "score_2": 9}, {"name": "Environmental Attributes (Dark Wood & Sleekness)", "reason_1": "Video 1 features a lighter, matte-finish wood surface that contradicts the 'sleek, dark wooden tabletop' description.", "reason_2": "Video 2 renders a highly polished, darker wood surface that aligns much better with the 'sleek' and 'dark' descriptors.", "score_1": 3, "score_2": 7}, {"name": "Subject Attributes (Polished Metal)", "reason_1": "Video 1 accurately renders a polished metal sphere with realistic reflections.", "reason_2": "Video 2 also accurately renders a polished metal sphere, though the reflections are slightly more stylized.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 follows the prompt's instructions regarding motion and environment, whereas Video 1 fails to generate the requested movement.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Dynamic Motion Presence", "reason_1": "The video lacks dynamic range; it is effectively a still image.", "reason_2": "The video displays consistent, fluid motion of the subject across the frame.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 has superior photorealism, sharpness, and natural texture rendering.", "reason_2": "Video 2 has a slightly 'CGI' look with softer textures and less realistic lighting falloff compared to Video 1.", "score_1": 8, "score_2": 2}, {"name": "Physics & Interaction (Rolling)", "reason_1": "No physics are simulated as there is no movement.", "reason_2": "The ball rotates and moves across the floor with appropriate momentum and perspective changes.", "score_1": 1, "score_2": 9}], "cat_reason": "While Video 1 has higher static image fidelity, Video 2 wins this category by actually functioning as a video with dynamic motion and physics.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (The Journey)", "reason_1": "There is no narrative progression; the scene is frozen in time.", "reason_2": "The video captures the 'journey' aspect, showing the ball traversing space, which creates a sense of time passing.", "score_1": 1, "score_2": 9}, {"name": "Atmospheric Lighting (Soft Ambient)", "reason_1": "Video 1 captures the 'soft ambient lighting' and 'serene atmosphere' perfectly with naturalistic tones.", "reason_2": "Video 2 uses somewhat harsh, high-contrast lighting with strong blue reflections that feel less 'soft' and 'ambient' than requested.", "score_1": 7, "score_2": 3}, {"name": "Visual Engagement (Mesmerizing Dance)", "reason_1": "The lack of movement makes the video visually unengaging over time.", "reason_2": "The movement of the ball and the shifting reflections create the 'mesmerizing dance' described in the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 provides the narrative progression of a 'journey' and the visual engagement of moving reflections, which Video 1 lacks.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully executes the core action required by the prompt: the ball actually moves across the surface ('begins its journey', 'glides effortlessly'). Video 1, while photorealistic, is effectively a static image with no perceptible motion, failing the fundamental requirement of a video generation task involving movement.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 55.52} +{"pair_id": "004_seed_42", "sample_index": 4, "seed": 42, "prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_004_seed_42_In a sunlit garden a young boy with tousled hair a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Boy & Dog)\", \"reason_1\": \"Video 1 correctly depicts a boy with tousled hair and a Border Collie, though the dog's features are inconsistent.\", \"reason_2\": \"Video 2 also correctly depicts the subjects, with the boy's hair and the dog's breed matching the prompt well.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Action Specificity (Stroking & Interaction)\", \"reason_1\": \"The stroking action is present but visually confused; the hand often merges with the dog's fur rather than interacting with it physically.\", \"reason_2\": \"The stroking action is distinct and gentle, with the hand clearly positioned on the dog's head, matching the 'tender moment' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Emotional Expression (Joy & Contentment)\", \"reason_1\": \"The boy is smiling, but the expression is marred by facial distortions, reducing the 'heartwarming' effect.\", \"reason_2\": \"The boy's smile is natural and bright, and the dog's closed eyes effectively convey the requested 'contentment'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos contain the required subjects, but Video 2 executes the specific interaction (stroking) and emotional cues (contentment) with much higher clarity and anatomical logic.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Anatomy)\", \"reason_1\": \"Video 1 exhibits severe morphing; the boy's face distorts significantly, and the dog's snout changes shape and size randomly.\", \"reason_2\": \"Video 2 maintains excellent structural integrity for both the boy's face and the dog's head throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Fidelity (Fur & Skin)\", \"reason_1\": \"Textures are muddy and blurred, lacking the definition of individual hairs or skin pores.\", \"reason_2\": \"The dog's fur is rendered with high definition, showing individual strands and realistic lighting interaction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The motion is jerky and unnatural, with the dog's head snapping around in a way that defies physics.\", \"reason_2\": \"The movement of the hand and the dog's head is smooth, fluid, and physically plausible.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the deciding category. Video 1 fails significantly with severe warping and low resolution, while Video 2 maintains high fidelity and stability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Appeal & Lighting\", \"reason_1\": \"The lighting is flat and the image suffers from digital noise and blur, reducing aesthetic appeal.\", \"reason_2\": \"The video features warm, sunlit lighting that enhances the 'serene' atmosphere and provides a pleasing depth of field.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Emotional Impact (Heartwarming Tone)\", \"reason_1\": \"The uncanny valley effect caused by the morphing faces creates a disturbing rather than heartwarming mood.\", \"reason_2\": \"The clear, stable expressions and gentle motion successfully evoke the feeling of friendship and affection described in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable but feels a bit cramped and unstable.\", \"reason_2\": \"The close-up framing is well-balanced, keeping the focus clearly on the interaction between the boy's hand and the dog's face.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 creates a genuinely heartwarming and cinematic scene through better lighting and composition, whereas Video 1's technical flaws break the immersion.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in terms of visual fidelity, temporal stability, and emotional resonance. While Video 1 suffers from severe morphological distortions (the boy's face and the dog's snout warp significantly) and jerky motion, Video 2 presents a photorealistic, stable, and aesthetically pleasing scene. The textures in Video 2 are sharp, the lighting is natural, and the interaction between the boy and the dog feels genuine and physically grounded, whereas Video 1 feels like a glitchy, early-generation AI output.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Boy & Dog)", "reason_1": "Video 1 correctly depicts a boy with tousled hair and a Border Collie, though the dog's features are inconsistent.", "reason_2": "Video 2 also correctly depicts the subjects, with the boy's hair and the dog's breed matching the prompt well.", "score_1": 5, "score_2": 5}, {"name": "Action Specificity (Stroking & Interaction)", "reason_1": "The stroking action is present but visually confused; the hand often merges with the dog's fur rather than interacting with it physically.", "reason_2": "The stroking action is distinct and gentle, with the hand clearly positioned on the dog's head, matching the 'tender moment' description.", "score_1": 3, "score_2": 7}, {"name": "Emotional Expression (Joy & Contentment)", "reason_1": "The boy is smiling, but the expression is marred by facial distortions, reducing the 'heartwarming' effect.", "reason_2": "The boy's smile is natural and bright, and the dog's closed eyes effectively convey the requested 'contentment'.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos contain the required subjects, but Video 2 executes the specific interaction (stroking) and emotional cues (contentment) with much higher clarity and anatomical logic.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Anatomy)", "reason_1": "Video 1 exhibits severe morphing; the boy's face distorts significantly, and the dog's snout changes shape and size randomly.", "reason_2": "Video 2 maintains excellent structural integrity for both the boy's face and the dog's head throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Texture Fidelity (Fur & Skin)", "reason_1": "Textures are muddy and blurred, lacking the definition of individual hairs or skin pores.", "reason_2": "The dog's fur is rendered with high definition, showing individual strands and realistic lighting interaction.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence & Physics", "reason_1": "The motion is jerky and unnatural, with the dog's head snapping around in a way that defies physics.", "reason_2": "The movement of the hand and the dog's head is smooth, fluid, and physically plausible.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the deciding category. Video 1 fails significantly with severe warping and low resolution, while Video 2 maintains high fidelity and stability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Appeal & Lighting", "reason_1": "The lighting is flat and the image suffers from digital noise and blur, reducing aesthetic appeal.", "reason_2": "The video features warm, sunlit lighting that enhances the 'serene' atmosphere and provides a pleasing depth of field.", "score_1": 3, "score_2": 7}, {"name": "Emotional Impact (Heartwarming Tone)", "reason_1": "The uncanny valley effect caused by the morphing faces creates a disturbing rather than heartwarming mood.", "reason_2": "The clear, stable expressions and gentle motion successfully evoke the feeling of friendship and affection described in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable but feels a bit cramped and unstable.", "reason_2": "The close-up framing is well-balanced, keeping the focus clearly on the interaction between the boy's hand and the dog's face.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 creates a genuinely heartwarming and cinematic scene through better lighting and composition, whereas Video 1's technical flaws break the immersion.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in terms of visual fidelity, temporal stability, and emotional resonance. While Video 1 suffers from severe morphological distortions (the boy's face and the dog's snout warp significantly) and jerky motion, Video 2 presents a photorealistic, stable, and aesthetically pleasing scene. The textures in Video 2 are sharp, the lighting is natural, and the interaction between the boy and the dog feels genuine and physically grounded, whereas Video 1 feels like a glitchy, early-generation AI output.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 57.37} +{"pair_id": "006_seed_930", "sample_index": 6, "seed": 930, "prompt": "An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_006_seed_930_An exhilarating FPV aerial shot captures the breat.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"FPV Motion Dynamics (Swoop & Glide)\", \"reason_1\": \"Video 1 perfectly captures the 'swooping' and 'gliding' motion characteristic of an FPV drone, moving along the ridge with momentum.\", \"reason_2\": \"Video 2 fails to convey a controlled flight path; the motion is erratic, disorienting, and lacks the 'graceful' quality requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Lighting (Golden Sun & Pastel Hues)\", \"reason_1\": \"Video 1 accurately renders the 'golden embrace' of the sun on the peaks and the 'soft pastel hues' on the horizon.\", \"reason_2\": \"Video 2 contains the correct colors, but the lighting is inconsistent due to the severe camera rotation, making the horizon difficult to appreciate.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Terrain Detail (Rugged Snow & Shadows)\", \"reason_1\": \"The video clearly displays the 'intricate patterns of shadows' and the texture of the rugged terrain as requested.\", \"reason_2\": \"Due to the chaotic camera angle, the terrain details are often obscured or viewed from an unintelligible perspective.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately translates the prompt's specific motion and environmental descriptions into the visual output. Video 2 fails to execute the 'graceful' and 'effortless' movement required.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Camera Orientation Stability\", \"reason_1\": \"The camera maintains a logical horizon line, consistent with a stable drone flight.\", \"reason_2\": \"The camera rolls aggressively to nearly 90 degrees, creating a nauseating and unrealistic viewing experience that breaks immersion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Clarity & Texture Fidelity\", \"reason_1\": \"The snow and rock textures remain sharp and defined throughout the motion.\", \"reason_2\": \"The image suffers from significant motion blur and distortion, particularly during the rapid, erratic movements.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The movement is fluid and continuous, mimicking a high-quality video feed.\", \"reason_2\": \"The motion is jerky and jarring, lacking the temporal smoothness expected of a 'mesmerizing' video.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 suffers from severe orientation issues and motion blur that degrade the viewing experience.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Compositional Balance & Framing\", \"reason_1\": \"The shot is well-composed, balancing the mountain ridge against the sky to show the scale of the panorama.\", \"reason_2\": \"The framing is chaotic, often cutting off the horizon or focusing on the ground at an awkward, unappealing angle.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Mood (Serenity vs. Chaos)\", \"reason_1\": \"Successfully evokes the 'tranquil silence' and 'peaceful visual symphony' described in the prompt.\", \"reason_2\": \"The erratic movement creates a sense of panic or disorientation, completely failing to convey serenity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Flow\", \"reason_1\": \"The clip feels like a cohesive, professional cinematic shot.\", \"reason_2\": \"The clip feels like a glitched or discarded take with no narrative or aesthetic flow.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a cinematic and aesthetically pleasing shot that matches the 'mesmerizing' mood. Video 2 is visually confusing and lacks artistic merit due to the disorientation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a superior generation that perfectly captures the 'graceful' and 'effortless' FPV motion described in the prompt while maintaining a stable horizon and high visual fidelity. It successfully renders the golden lighting and serene atmosphere. In contrast, Video 2 suffers from severe camera instability, with an aggressive and disorienting roll that contradicts the requested 'peaceful' and 'mesmerizing' mood, alongside significant motion blur.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An exhilarating FPV aerial shot captures the breathtaking panorama of snow-capped mountains, their majestic peaks glistening under the golden embrace of the morning sun. The camera swoops gracefully over the rugged terrain, revealing intricate patterns of shadows and light dancing across the pristine white snow. As the drone glides effortlessly through the crisp, clear air, the serene atmosphere envelops the scene, with the distant horizon painted in soft pastel hues. The tranquil silence of the mountains is palpable, broken only by the gentle whisper of the wind, creating a mesmerizing and peaceful visual symphony.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "FPV Motion Dynamics (Swoop & Glide)", "reason_1": "Video 1 perfectly captures the 'swooping' and 'gliding' motion characteristic of an FPV drone, moving along the ridge with momentum.", "reason_2": "Video 2 fails to convey a controlled flight path; the motion is erratic, disorienting, and lacks the 'graceful' quality requested.", "score_1": 9, "score_2": 1}, {"name": "Environmental Lighting (Golden Sun & Pastel Hues)", "reason_1": "Video 1 accurately renders the 'golden embrace' of the sun on the peaks and the 'soft pastel hues' on the horizon.", "reason_2": "Video 2 contains the correct colors, but the lighting is inconsistent due to the severe camera rotation, making the horizon difficult to appreciate.", "score_1": 7, "score_2": 3}, {"name": "Terrain Detail (Rugged Snow & Shadows)", "reason_1": "The video clearly displays the 'intricate patterns of shadows' and the texture of the rugged terrain as requested.", "reason_2": "Due to the chaotic camera angle, the terrain details are often obscured or viewed from an unintelligible perspective.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately translates the prompt's specific motion and environmental descriptions into the visual output. Video 2 fails to execute the 'graceful' and 'effortless' movement required.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Camera Orientation Stability", "reason_1": "The camera maintains a logical horizon line, consistent with a stable drone flight.", "reason_2": "The camera rolls aggressively to nearly 90 degrees, creating a nauseating and unrealistic viewing experience that breaks immersion.", "score_1": 9, "score_2": 1}, {"name": "Visual Clarity & Texture Fidelity", "reason_1": "The snow and rock textures remain sharp and defined throughout the motion.", "reason_2": "The image suffers from significant motion blur and distortion, particularly during the rapid, erratic movements.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The movement is fluid and continuous, mimicking a high-quality video feed.", "reason_2": "The motion is jerky and jarring, lacking the temporal smoothness expected of a 'mesmerizing' video.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 suffers from severe orientation issues and motion blur that degrade the viewing experience.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Compositional Balance & Framing", "reason_1": "The shot is well-composed, balancing the mountain ridge against the sky to show the scale of the panorama.", "reason_2": "The framing is chaotic, often cutting off the horizon or focusing on the ground at an awkward, unappealing angle.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Mood (Serenity vs. Chaos)", "reason_1": "Successfully evokes the 'tranquil silence' and 'peaceful visual symphony' described in the prompt.", "reason_2": "The erratic movement creates a sense of panic or disorientation, completely failing to convey serenity.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Flow", "reason_1": "The clip feels like a cohesive, professional cinematic shot.", "reason_2": "The clip feels like a glitched or discarded take with no narrative or aesthetic flow.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a cinematic and aesthetically pleasing shot that matches the 'mesmerizing' mood. Video 2 is visually confusing and lacks artistic merit due to the disorientation.", "cat_winner": "Video 1"}], "reason": "Video 1 is a superior generation that perfectly captures the 'graceful' and 'effortless' FPV motion described in the prompt while maintaining a stable horizon and high visual fidelity. It successfully renders the golden lighting and serene atmosphere. In contrast, Video 2 suffers from severe camera instability, with an aggressive and disorienting roll that contradicts the requested 'peaceful' and 'mesmerizing' mood, alongside significant motion blur.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 57.251} +{"pair_id": "009_seed_310", "sample_index": 9, "seed": 310, "prompt": "From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_009_seed_310_From a high vantage point the bustling street belo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_310_From a high vantage point the bustling street belo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_310_From a high vantage point the bustling street belo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_009_seed_310_From a high vantage point the bustling street belo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Inventory & Attribute Fidelity\", \"reason_1\": \"Video 1 includes the subjects, but the 'woman in red' is less distinct and the 'man in business suit' is harder to identify amidst the visual noise.\", \"reason_2\": \"Video 2 clearly depicts the woman in the red coat, the man in the suit, and the saxophone player as distinct, recognizable entities.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Lighting & Shadow Logic\", \"reason_1\": \"Video 1 has lighting, but the shadows are inconsistent and the 'golden' quality is lost in the overall color saturation and blur.\", \"reason_2\": \"Video 2 perfectly captures the 'golden sunlight' and 'sharp shadows' requested, creating a realistic high-contrast look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Specificity (Cyclist & Performer)\", \"reason_1\": \"Video 1 attempts the actions, but the cyclist and performer are morphing blobs that lack structural integrity during movement.\", \"reason_2\": \"Video 2 shows the cyclist and saxophonist moving with relative logic, though the cyclist's interaction with the ground is slightly floaty.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders all specific subjects (red coat, saxophonist, cyclist) with distinct attributes and clear actions. Video 1 contains the elements but they are often indistinguishable due to distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Video 1 exhibits severe 'melting' artifacts; the bicycle wheels distort into ovals and the saxophone player's body merges with the background.\", \"reason_2\": \"Subjects in Video 2 maintain their shape and form throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"The video is blurry, pixelated, and lacks fine detail, resembling a low-quality upscale.\", \"reason_2\": \"The video is sharp, with clear textures on the pavement and clothing.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Motion is jerky and unnatural; subjects appear to slide or glide rather than walk.\", \"reason_2\": \"Movement is fluid and generally respects the frame rate.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the most significant differentiator. Video 2 is stable and clear, while Video 1 suffers from severe hallucinations, warping, and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing feels cluttered and the camera angle shifts awkwardly, making the scene difficult to parse.\", \"reason_2\": \"The high vantage point is utilized well to show the flow of the crowd and the avenue's width.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Golden Hour)\", \"reason_1\": \"The colors are muddy and the atmosphere feels chaotic rather than vibrant.\", \"reason_2\": \"Successfully evokes the 'vibrant energy' and 'golden' atmosphere described in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy artifacts and distortion.\", \"reason_2\": \"A visually pleasing generation that looks like a coherent video clip.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 presents a cohesive, cinematic shot that feels like a professional observation of urban life. Video 1 lacks aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is superior in every technical and aesthetic metric. It delivers a high-resolution, stable, and visually coherent scene that perfectly matches the prompt's lighting and subject requirements. Video 1 suffers from severe morphological instability, low resolution, and significant artifacting, making the subjects and actions difficult to discern.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Inventory & Attribute Fidelity", "reason_1": "Video 1 includes the subjects, but the 'woman in red' is less distinct and the 'man in business suit' is harder to identify amidst the visual noise.", "reason_2": "Video 2 clearly depicts the woman in the red coat, the man in the suit, and the saxophone player as distinct, recognizable entities.", "score_1": 3, "score_2": 7}, {"name": "Environmental Lighting & Shadow Logic", "reason_1": "Video 1 has lighting, but the shadows are inconsistent and the 'golden' quality is lost in the overall color saturation and blur.", "reason_2": "Video 2 perfectly captures the 'golden sunlight' and 'sharp shadows' requested, creating a realistic high-contrast look.", "score_1": 2, "score_2": 8}, {"name": "Action Specificity (Cyclist & Performer)", "reason_1": "Video 1 attempts the actions, but the cyclist and performer are morphing blobs that lack structural integrity during movement.", "reason_2": "Video 2 shows the cyclist and saxophonist moving with relative logic, though the cyclist's interaction with the ground is slightly floaty.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders all specific subjects (red coat, saxophonist, cyclist) with distinct attributes and clear actions. Video 1 contains the elements but they are often indistinguishable due to distortion.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Video 1 exhibits severe 'melting' artifacts; the bicycle wheels distort into ovals and the saxophone player's body merges with the background.", "reason_2": "Subjects in Video 2 maintain their shape and form throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Definition", "reason_1": "The video is blurry, pixelated, and lacks fine detail, resembling a low-quality upscale.", "reason_2": "The video is sharp, with clear textures on the pavement and clothing.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness & Physics", "reason_1": "Motion is jerky and unnatural; subjects appear to slide or glide rather than walk.", "reason_2": "Movement is fluid and generally respects the frame rate.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the most significant differentiator. Video 2 is stable and clear, while Video 1 suffers from severe hallucinations, warping, and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing feels cluttered and the camera angle shifts awkwardly, making the scene difficult to parse.", "reason_2": "The high vantage point is utilized well to show the flow of the crowd and the avenue's width.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Golden Hour)", "reason_1": "The colors are muddy and the atmosphere feels chaotic rather than vibrant.", "reason_2": "Successfully evokes the 'vibrant energy' and 'golden' atmosphere described in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to heavy artifacts and distortion.", "reason_2": "A visually pleasing generation that looks like a coherent video clip.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 presents a cohesive, cinematic shot that feels like a professional observation of urban life. Video 1 lacks aesthetic appeal due to its technical flaws.", "cat_winner": "Video 2"}], "reason": "Video 2 is superior in every technical and aesthetic metric. It delivers a high-resolution, stable, and visually coherent scene that perfectly matches the prompt's lighting and subject requirements. Video 1 suffers from severe morphological instability, low resolution, and significant artifacting, making the subjects and actions difficult to discern.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 58.326} +{"pair_id": "012_seed_42", "sample_index": 12, "seed": 42, "prompt": "A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_012_seed_42_A stylish model stands confidently in front of a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_012_seed_42_A stylish model stands confidently in front of a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_012_seed_42_A stylish model stands confidently in front of a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_012_seed_42_A stylish model stands confidently in front of a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Minimalist Backdrop)\", \"reason_1\": \"Video 1 perfectly renders the requested minimalist, plain backdrop.\", \"reason_2\": \"Video 2 completely ignores the 'minimalist backdrop' instruction, generating a cluttered room with a mirror and clothes rack.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Garment Attribute Fidelity (Buttons & Pockets)\", \"reason_1\": \"Video 1 renders the chest pockets and buttons with reasonable structural logic, though the buttons are slightly inconsistent.\", \"reason_2\": \"Video 2 fails significantly here; the buttons are rendered as large, floating, gold blobs that lack physical connection to the jacket.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Presentation (Stance & Fit)\", \"reason_1\": \"Video 1 shows the model's face and upper body, fulfilling the 'stylish model' and 'poised stance' requirements.\", \"reason_2\": \"Video 2 crops the model's head entirely, reducing the subject to a torso and failing to convey the 'model' persona effectively.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 correctly interprets the environmental and subject constraints, whereas Video 2 fails on the background setting and specific garment details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Morphological Stability\", \"reason_1\": \"The jacket in Video 1 maintains its shape and structure throughout the clip.\", \"reason_2\": \"The buttons in Video 2 morph, float, and change size drastically, breaking the illusion of reality.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Resolution & Sharpness\", \"reason_1\": \"Video 1 is somewhat soft and lacks the high-definition texture detail requested.\", \"reason_2\": \"Video 2 actually renders the denim weave and texture with higher sharpness and clarity, despite the other flaws.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The model's subtle movements in Video 1 are relatively natural.\", \"reason_2\": \"The motion in Video 2 feels slightly jerky, and the interaction between the hands and the jacket causes clipping artifacts.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains better structural integrity of the object. Video 2 has higher texture resolution but fails on object permanence and physics.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Fashion Editorial Aesthetic\", \"reason_1\": \"The lighting and framing in Video 1 evoke a professional studio fashion shoot.\", \"reason_2\": \"The messy background and headless framing in Video 2 destroy the intended 'chic' and 'elegant' aesthetic.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced medium shot that showcases both the model and the garment.\", \"reason_2\": \"Video 2 uses an awkward crop that cuts off the subject's head, which is generally poor composition for a model showcase.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is a coherent and usable video generation.\", \"reason_2\": \"Video 2 is visually distracting due to the floating buttons and cluttered background.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully captures the 'timeless elegance' and 'chic design' requested, while Video 2 feels like a low-quality home video due to the background and framing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the 'minimalist backdrop' constraint and presents a coherent, professional fashion shot. Video 2 fails significantly on the background (showing a cluttered room), suffers from severe morphological hallucinations on the jacket's buttons, and utilizes poor framing that decapitates the model.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Minimalist Backdrop)", "reason_1": "Video 1 perfectly renders the requested minimalist, plain backdrop.", "reason_2": "Video 2 completely ignores the 'minimalist backdrop' instruction, generating a cluttered room with a mirror and clothes rack.", "score_1": 10, "score_2": 0}, {"name": "Garment Attribute Fidelity (Buttons & Pockets)", "reason_1": "Video 1 renders the chest pockets and buttons with reasonable structural logic, though the buttons are slightly inconsistent.", "reason_2": "Video 2 fails significantly here; the buttons are rendered as large, floating, gold blobs that lack physical connection to the jacket.", "score_1": 7, "score_2": 3}, {"name": "Subject Presentation (Stance & Fit)", "reason_1": "Video 1 shows the model's face and upper body, fulfilling the 'stylish model' and 'poised stance' requirements.", "reason_2": "Video 2 crops the model's head entirely, reducing the subject to a torso and failing to convey the 'model' persona effectively.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 correctly interprets the environmental and subject constraints, whereas Video 2 fails on the background setting and specific garment details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Morphological Stability", "reason_1": "The jacket in Video 1 maintains its shape and structure throughout the clip.", "reason_2": "The buttons in Video 2 morph, float, and change size drastically, breaking the illusion of reality.", "score_1": 8, "score_2": 2}, {"name": "Texture Resolution & Sharpness", "reason_1": "Video 1 is somewhat soft and lacks the high-definition texture detail requested.", "reason_2": "Video 2 actually renders the denim weave and texture with higher sharpness and clarity, despite the other flaws.", "score_1": 4, "score_2": 6}, {"name": "Motion Naturalness", "reason_1": "The model's subtle movements in Video 1 are relatively natural.", "reason_2": "The motion in Video 2 feels slightly jerky, and the interaction between the hands and the jacket causes clipping artifacts.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains better structural integrity of the object. Video 2 has higher texture resolution but fails on object permanence and physics.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Fashion Editorial Aesthetic", "reason_1": "The lighting and framing in Video 1 evoke a professional studio fashion shoot.", "reason_2": "The messy background and headless framing in Video 2 destroy the intended 'chic' and 'elegant' aesthetic.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a balanced medium shot that showcases both the model and the garment.", "reason_2": "Video 2 uses an awkward crop that cuts off the subject's head, which is generally poor composition for a model showcase.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is a coherent and usable video generation.", "reason_2": "Video 2 is visually distracting due to the floating buttons and cluttered background.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully captures the 'timeless elegance' and 'chic design' requested, while Video 2 feels like a low-quality home video due to the background and framing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the 'minimalist backdrop' constraint and presents a coherent, professional fashion shot. Video 2 fails significantly on the background (showing a cluttered room), suffers from severe morphological hallucinations on the jacket's buttons, and utilizes poor framing that decapitates the model.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 53.284} +{"pair_id": "014_seed_930", "sample_index": 14, "seed": 930, "prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_014_seed_930_A man stands in a minimalist studio wearing a fitt.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Graceful Raising)\", \"reason_1\": \"The subject raises his arms, but the movement is jerky and the hands distort, failing to convey the requested 'grace' or 'elegance'.\", \"reason_2\": \"The subject performs a smooth, controlled, and fluid motion of raising the arms, perfectly matching the 'gracefully raises' instruction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Facial Expression & Serenity\", \"reason_1\": \"The subject's face is heavily distorted with severe artifacts, making it impossible to discern a 'serene' expression or closed eyes.\", \"reason_2\": \"The subject maintains a clear, calm, and serene expression with eyes closed or looking down, perfectly capturing the 'introspection' described.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Lighting (Soft Shadows)\", \"reason_1\": \"The lighting creates a harsh, dark shadow on the wall behind the subject, contradicting the prompt's request for 'soft shadows'.\", \"reason_2\": \"The lighting is soft and diffuse, creating a gentle shadow that complements the minimalist studio setting as requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attributes (Attire & Pose)\", \"reason_1\": \"Correctly generates the black turtleneck and dark jeans.\", \"reason_2\": \"Correctly generates the black turtleneck and dark jeans.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 accurately depicts the 'graceful' motion and 'serene' expression requested. Video 1 fails to render the specific facial expression due to distortion and creates harsh shadows instead of the requested soft ones.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The face suffers from severe 'melting' and warping artifacts throughout the clip, completely breaking realism.\", \"reason_2\": \"The subject's face remains structurally consistent, realistic, and recognizable throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Anatomical Integrity (Hands & Arms)\", \"reason_1\": \"The hands and arms distort significantly during the movement, losing their skeletal structure.\", \"reason_2\": \"The arms and hands maintain their shape and volume correctly during the raising motion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Fluidity\", \"reason_1\": \"The motion appears slightly unnatural and jittery, lacking the fluidity of real human movement.\", \"reason_2\": \"The movement is smooth, continuous, and physically plausible.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates high stability and realism. Video 1 is plagued by severe morphological instability, particularly in the face and hands, which break the illusion of reality.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Calm & Balance)\", \"reason_1\": \"The visual glitches and harsh contrast create a disturbing rather than calm atmosphere.\", \"reason_2\": \"The soft lighting, smooth motion, and neutral background successfully convey the requested sense of tranquility and balance.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to the low-quality generation artifacts on the subject's face.\", \"reason_2\": \"The video is aesthetically pleasing, clean, and looks like a professional studio shot.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable but the harsh shadow dominates the background composition negatively.\", \"reason_2\": \"The subject is well-centered with appropriate headroom, creating a balanced composition.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully evokes the mood of 'calm and balance' through clean composition and lighting. Video 1's visual artifacts create an uncanny and unsettling aesthetic that contradicts the prompt's intent.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it maintains superior anatomical consistency, particularly in the face and hands, while successfully capturing the requested serene expression and graceful motion. Video 1 suffers from severe facial distortion (melting artifacts), harsh lighting that contradicts the 'soft shadows' prompt, and jerky motion that fails to convey the intended elegance.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man stands in a minimalist studio, wearing a fitted black turtleneck and dark jeans, his entire body captured in the frame. The lighting casts soft shadows, highlighting his poised stance. As the camera focuses, he gracefully raises his hands above his head, fingers elegantly extended, creating a silhouette against the neutral backdrop. His expression is serene, eyes closed, as if lost in a moment of introspection. The scene conveys a sense of calm and balance, with the man's fluid motion and the studio's tranquil ambiance harmonizing perfectly.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Graceful Raising)", "reason_1": "The subject raises his arms, but the movement is jerky and the hands distort, failing to convey the requested 'grace' or 'elegance'.", "reason_2": "The subject performs a smooth, controlled, and fluid motion of raising the arms, perfectly matching the 'gracefully raises' instruction.", "score_1": 2, "score_2": 8}, {"name": "Facial Expression & Serenity", "reason_1": "The subject's face is heavily distorted with severe artifacts, making it impossible to discern a 'serene' expression or closed eyes.", "reason_2": "The subject maintains a clear, calm, and serene expression with eyes closed or looking down, perfectly capturing the 'introspection' described.", "score_1": 1, "score_2": 9}, {"name": "Environmental Lighting (Soft Shadows)", "reason_1": "The lighting creates a harsh, dark shadow on the wall behind the subject, contradicting the prompt's request for 'soft shadows'.", "reason_2": "The lighting is soft and diffuse, creating a gentle shadow that complements the minimalist studio setting as requested.", "score_1": 3, "score_2": 7}, {"name": "Subject Attributes (Attire & Pose)", "reason_1": "Correctly generates the black turtleneck and dark jeans.", "reason_2": "Correctly generates the black turtleneck and dark jeans.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 accurately depicts the 'graceful' motion and 'serene' expression requested. Video 1 fails to render the specific facial expression due to distortion and creates harsh shadows instead of the requested soft ones.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The face suffers from severe 'melting' and warping artifacts throughout the clip, completely breaking realism.", "reason_2": "The subject's face remains structurally consistent, realistic, and recognizable throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Anatomical Integrity (Hands & Arms)", "reason_1": "The hands and arms distort significantly during the movement, losing their skeletal structure.", "reason_2": "The arms and hands maintain their shape and volume correctly during the raising motion.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Fluidity", "reason_1": "The motion appears slightly unnatural and jittery, lacking the fluidity of real human movement.", "reason_2": "The movement is smooth, continuous, and physically plausible.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates high stability and realism. Video 1 is plagued by severe morphological instability, particularly in the face and hands, which break the illusion of reality.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Calm & Balance)", "reason_1": "The visual glitches and harsh contrast create a disturbing rather than calm atmosphere.", "reason_2": "The soft lighting, smooth motion, and neutral background successfully convey the requested sense of tranquility and balance.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to the low-quality generation artifacts on the subject's face.", "reason_2": "The video is aesthetically pleasing, clean, and looks like a professional studio shot.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable but the harsh shadow dominates the background composition negatively.", "reason_2": "The subject is well-centered with appropriate headroom, creating a balanced composition.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully evokes the mood of 'calm and balance' through clean composition and lighting. Video 1's visual artifacts create an uncanny and unsettling aesthetic that contradicts the prompt's intent.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it maintains superior anatomical consistency, particularly in the face and hands, while successfully capturing the requested serene expression and graceful motion. Video 1 suffers from severe facial distortion (melting artifacts), harsh lighting that contradicts the 'soft shadows' prompt, and jerky motion that fails to convey the intended elegance.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 75.0, "elapsed_sec": 58.231} +{"pair_id": "017_seed_310", "sample_index": 17, "seed": 310, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_310_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_310_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_310_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_310_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 perfectly renders the yellow raincoat, red boots, and rainbow umbrella with high detail and correct colors.\", \"reason_2\": \"Video 2 includes the items, but the umbrella is disproportionately large and the boots lack the distinct red color definition seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Interaction Logic (Leash Handling)\", \"reason_1\": \"The girl holds the leash in her left hand (viewer's right) as requested, with a clear physical connection to the dog.\", \"reason_2\": \"The leash interaction is messy; the leash appears to float or disconnect, and the hand holding it is obscured or malformed.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Bustling Street)\", \"reason_1\": \"The background features distinct, colorful storefronts and discernible pedestrians, creating the requested 'bustling' atmosphere.\", \"reason_2\": \"The background is blurry and lacks distinct storefront details or clear pedestrian figures, failing to convey the 'bustling' aspect effectively.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts all prompt elements, including the specific clothing colors, the dog's breed characteristics, and the bustling background. Video 2 struggles with the specific interaction of the leash and the clarity of the background elements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity & Facial Stability\", \"reason_1\": \"The girl's face remains consistent, cute, and anatomically correct throughout the clip.\", \"reason_2\": \"The girl's face suffers from severe morphing and distortion, losing human likeness and becoming disturbing.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Biological Motion Coherence (Dog)\", \"reason_1\": \"The dog trots with a natural gait, and its legs move logically.\", \"reason_2\": \"The dog's legs frequently disappear, merge, or move in physically impossible ways (gliding/sliding).\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with sharp textures on the raincoat and pavement.\", \"reason_2\": \"The video is generally soft, blurry, and lacks high-frequency detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains a stable, high-resolution image. Video 2 exhibits severe 'hallucinations' where the girl's face melts and the dog's anatomy breaks down during motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Tone (Joy & Warmth)\", \"reason_1\": \"The bright lighting and the girl's clear smile effectively convey the requested warmth and innocence.\", \"reason_2\": \"The facial distortions create an eerie, uncanny valley effect that is the opposite of 'charming' or 'joyful'.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Vibrancy & Lighting\", \"reason_1\": \"Colors are saturated and vibrant, matching the 'vibrant rainbow' and 'colorful storefronts' description.\", \"reason_2\": \"The color palette is somewhat washed out and dull compared to the prompt's request for vibrancy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subjects are well-centered with a balanced view of the street and sky.\", \"reason_2\": \"The framing is acceptable, but the oversized umbrella dominates the frame awkwardly, unbalancing the composition.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully captures the 'charming' and 'joyful' mood requested. Video 2's visual artifacts create an unintentional horror/uncanny valley effect that ruins the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It delivers a high-fidelity, stable, and aesthetically pleasing generation that perfectly matches the prompt's requirements for color, subject attributes, and emotional tone. Video 2 suffers from severe morphological instability, particularly with the girl's face and the dog's legs, and fails to maintain the requested vibrant aesthetic.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 perfectly renders the yellow raincoat, red boots, and rainbow umbrella with high detail and correct colors.", "reason_2": "Video 2 includes the items, but the umbrella is disproportionately large and the boots lack the distinct red color definition seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Interaction Logic (Leash Handling)", "reason_1": "The girl holds the leash in her left hand (viewer's right) as requested, with a clear physical connection to the dog.", "reason_2": "The leash interaction is messy; the leash appears to float or disconnect, and the hand holding it is obscured or malformed.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Bustling Street)", "reason_1": "The background features distinct, colorful storefronts and discernible pedestrians, creating the requested 'bustling' atmosphere.", "reason_2": "The background is blurry and lacks distinct storefront details or clear pedestrian figures, failing to convey the 'bustling' aspect effectively.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts all prompt elements, including the specific clothing colors, the dog's breed characteristics, and the bustling background. Video 2 struggles with the specific interaction of the leash and the clarity of the background elements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity & Facial Stability", "reason_1": "The girl's face remains consistent, cute, and anatomically correct throughout the clip.", "reason_2": "The girl's face suffers from severe morphing and distortion, losing human likeness and becoming disturbing.", "score_1": 9, "score_2": 1}, {"name": "Biological Motion Coherence (Dog)", "reason_1": "The dog trots with a natural gait, and its legs move logically.", "reason_2": "The dog's legs frequently disappear, merge, or move in physically impossible ways (gliding/sliding).", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with sharp textures on the raincoat and pavement.", "reason_2": "The video is generally soft, blurry, and lacks high-frequency detail.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 maintains a stable, high-resolution image. Video 2 exhibits severe 'hallucinations' where the girl's face melts and the dog's anatomy breaks down during motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Tone (Joy & Warmth)", "reason_1": "The bright lighting and the girl's clear smile effectively convey the requested warmth and innocence.", "reason_2": "The facial distortions create an eerie, uncanny valley effect that is the opposite of 'charming' or 'joyful'.", "score_1": 9, "score_2": 1}, {"name": "Color Vibrancy & Lighting", "reason_1": "Colors are saturated and vibrant, matching the 'vibrant rainbow' and 'colorful storefronts' description.", "reason_2": "The color palette is somewhat washed out and dull compared to the prompt's request for vibrancy.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The subjects are well-centered with a balanced view of the street and sky.", "reason_2": "The framing is acceptable, but the oversized umbrella dominates the frame awkwardly, unbalancing the composition.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully captures the 'charming' and 'joyful' mood requested. Video 2's visual artifacts create an unintentional horror/uncanny valley effect that ruins the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It delivers a high-fidelity, stable, and aesthetically pleasing generation that perfectly matches the prompt's requirements for color, subject attributes, and emotional tone. Video 2 suffers from severe morphological instability, particularly with the girl's face and the dog's legs, and fails to maintain the requested vibrant aesthetic.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 60.77} +{"pair_id": "020_seed_42", "sample_index": 20, "seed": 42, "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_42_On a rustic wooden bench a fluffy tabby cat with s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Cat & Bird)\", \"reason_1\": \"Video 1 perfectly renders a 'fluffy tabby' with the requested green eyes and a realistic bluebird. The textures are distinct and accurate.\", \"reason_2\": \"Video 2 renders a cat with a spotted/rosette pattern (resembling a Bengal) rather than a standard tabby, and the bird appears somewhat plastic and artificial.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Tail Flick & Head Tilt)\", \"reason_1\": \"Video 1 captures the subtle 'tail flick' and the bird's 'inquisitive head tilt' with natural fluidity.\", \"reason_2\": \"Video 2 is largely static; the tail is visible but lacks the specific 'flicking' motion, and the bird's movement is rigid.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Rustic Bench & Lighting)\", \"reason_1\": \"The wooden bench in Video 1 has a convincing rustic texture, and the lighting creates the requested 'dappled shadows' naturally.\", \"reason_2\": \"The bench in Video 2 looks like a smooth, synthetic log, and the lighting is flat and oversaturated, missing the 'dappled' nuance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific attributes of the subjects (fluffy tabby, rustic bench) and the requested actions. Video 2 deviates on the cat's coat pattern and lacks the specific dynamic actions described.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"The fur and feathers in Video 1 are rendered with exceptional detail, reacting to light realistically.\", \"reason_2\": \"Video 2 has a 'smoothed-over' AI look; the cat's fur lacks definition, and the bird looks like a low-poly 3D model.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Biological Motion Naturalness\", \"reason_1\": \"The micro-movements of the cat's ears and the bird's head in Video 1 are biologically plausible and lifelike.\", \"reason_2\": \"The motion in Video 2 is stiff and mechanical, lacking the organic fluidity of living creatures.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 is sharp and clear with a well-defined depth of field.\", \"reason_2\": \"Video 2 appears slightly blurry and lacks the crisp definition found in Video 1.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 achieves a high level of photorealism with excellent texture rendering and natural motion. Video 2 suffers from a 'digital painting' look with lower resolution and stiff animation.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Serene yet Tense)\", \"reason_1\": \"The lighting and the intense gaze of the cat in Video 1 perfectly capture the 'serene yet tense' atmosphere.\", \"reason_2\": \"Video 2 feels flat and emotionless due to the artificial lighting and lack of expressive movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 uses a pleasing depth of field (bokeh) to isolate the subjects, enhancing the cinematic feel.\", \"reason_2\": \"Video 2 has a flatter composition with less effective separation between the subjects and the background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"The colors in Video 1 are natural and balanced, fitting a garden setting.\", \"reason_2\": \"Video 2 is oversaturated, particularly the greens and yellows, giving it a cartoonish appearance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the 'serene yet tense' atmosphere through superior composition and lighting. Video 2 feels more like a static illustration than a cinematic moment.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category, offering a highly photorealistic depiction that perfectly aligns with the prompt's descriptive details (fluffy tabby, rustic bench, dappled light). It captures the subtle biological movements (tail flick, head tilt) with natural fluidity. Video 2, while semantically correct in broad strokes, suffers from a more artificial, 'digital art' aesthetic, incorrect cat coat pattern (spots vs. tabby), and stiff, minimal motion.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Cat & Bird)", "reason_1": "Video 1 perfectly renders a 'fluffy tabby' with the requested green eyes and a realistic bluebird. The textures are distinct and accurate.", "reason_2": "Video 2 renders a cat with a spotted/rosette pattern (resembling a Bengal) rather than a standard tabby, and the bird appears somewhat plastic and artificial.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Tail Flick & Head Tilt)", "reason_1": "Video 1 captures the subtle 'tail flick' and the bird's 'inquisitive head tilt' with natural fluidity.", "reason_2": "Video 2 is largely static; the tail is visible but lacks the specific 'flicking' motion, and the bird's movement is rigid.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Rustic Bench & Lighting)", "reason_1": "The wooden bench in Video 1 has a convincing rustic texture, and the lighting creates the requested 'dappled shadows' naturally.", "reason_2": "The bench in Video 2 looks like a smooth, synthetic log, and the lighting is flat and oversaturated, missing the 'dappled' nuance.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific attributes of the subjects (fluffy tabby, rustic bench) and the requested actions. Video 2 deviates on the cat's coat pattern and lacks the specific dynamic actions described.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Photorealistic Texture Rendering", "reason_1": "The fur and feathers in Video 1 are rendered with exceptional detail, reacting to light realistically.", "reason_2": "Video 2 has a 'smoothed-over' AI look; the cat's fur lacks definition, and the bird looks like a low-poly 3D model.", "score_1": 9, "score_2": 1}, {"name": "Biological Motion Naturalness", "reason_1": "The micro-movements of the cat's ears and the bird's head in Video 1 are biologically plausible and lifelike.", "reason_2": "The motion in Video 2 is stiff and mechanical, lacking the organic fluidity of living creatures.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 is sharp and clear with a well-defined depth of field.", "reason_2": "Video 2 appears slightly blurry and lacks the crisp definition found in Video 1.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 achieves a high level of photorealism with excellent texture rendering and natural motion. Video 2 suffers from a 'digital painting' look with lower resolution and stiff animation.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Serene yet Tense)", "reason_1": "The lighting and the intense gaze of the cat in Video 1 perfectly capture the 'serene yet tense' atmosphere.", "reason_2": "Video 2 feels flat and emotionless due to the artificial lighting and lack of expressive movement.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition & Depth", "reason_1": "Video 1 uses a pleasing depth of field (bokeh) to isolate the subjects, enhancing the cinematic feel.", "reason_2": "Video 2 has a flatter composition with less effective separation between the subjects and the background.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Grading", "reason_1": "The colors in Video 1 are natural and balanced, fitting a garden setting.", "reason_2": "Video 2 is oversaturated, particularly the greens and yellows, giving it a cartoonish appearance.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the 'serene yet tense' atmosphere through superior composition and lighting. Video 2 feels more like a static illustration than a cinematic moment.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category, offering a highly photorealistic depiction that perfectly aligns with the prompt's descriptive details (fluffy tabby, rustic bench, dappled light). It captures the subtle biological movements (tail flick, head tilt) with natural fluidity. Video 2, while semantically correct in broad strokes, suffers from a more artificial, 'digital art' aesthetic, incorrect cat coat pattern (spots vs. tabby), and stiff, minimal motion.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 64.646} +{"pair_id": "022_seed_930", "sample_index": 22, "seed": 930, "prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_022_seed_930_A close-up view reveals an elegantly set restauran.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Object Inventory Completeness\", \"reason_1\": \"Video 1 successfully includes the steak, fries, salad, bread, wine, and candle, though the 'butter' is ambiguous (possibly the white dish).\", \"reason_2\": \"Video 2 also includes all major items, but the 'butter' is also ambiguous (appears as a white dish or candle holder). Both are equal in object presence.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Attribute Fidelity (Textures & Colors)\", \"reason_1\": \"The steak in Video 1 has a realistic 'glistening glaze' and the fries look 'golden and crispy' as requested.\", \"reason_2\": \"The steak in Video 2 looks dark, oily, and burnt rather than perfectly cooked; the fries lack the requested golden crispiness.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Spatial Arrangement & Logic\", \"reason_1\": \"The layout is logical and elegant, with the wine glass and candle placed naturally relative to the main dish.\", \"reason_2\": \"The arrangement feels cluttered, and the camera angle makes the spatial relationship between the bread basket and the main plate feel awkward.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the specific textural attributes (glistening glaze, golden fries) much better than Video 2. While both videos contain the required objects, Video 1 arranges them in a more logical and 'elegant' manner consistent with the prompt's description.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high-resolution details visible in the lettuce leaves and the texture of the bread.\", \"reason_2\": \"The video is noticeably blurry and soft, lacking fine detail, resembling a lower-quality generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Reflection Physics\", \"reason_1\": \"The wine glass accurately reflects the environment and the candlelight, creating realistic refraction.\", \"reason_2\": \"The lighting is flat and dull; the wine glass lacks complex reflections, and the candle flame looks artificial.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Stability\", \"reason_1\": \"The video maintains consistent focus and object solidity throughout the camera movement.\", \"reason_2\": \"There is noticeable jitter and slight morphing in the background elements as the camera moves.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade visual fidelity with sharp focus and realistic lighting physics. Video 2 appears low-resolution, blurry, and lacks the dynamic range to make the food look appetizing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Culinary Aesthetics (Appetizing Appeal)\", \"reason_1\": \"The food looks delicious and high-end, perfectly fitting the 'elegantly set' description.\", \"reason_2\": \"The food looks unappealing, dark, and greasy, failing to evoke the 'sumptuous feast' vibe.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"Features a smooth, cinematic pan that reveals the table setting gradually and elegantly.\", \"reason_2\": \"The camera movement is shaky and erratic, detracting from the viewing experience.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Warmth & Glow)\", \"reason_1\": \"Successfully establishes a warm, inviting mood through lighting and color grading.\", \"reason_2\": \"The atmosphere feels cold and clinical due to the harsh white tablecloth and lack of warm ambient lighting.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 succeeds in creating an 'inviting' and 'elegant' atmosphere through smooth camera work and appetizing presentation. Video 2 fails aesthetically due to poor lighting and unappealing food rendering.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is significantly superior in terms of visual fidelity, lighting, and aesthetic appeal. It accurately renders the textures of the food (glistening steak, crisp fries) and creates a warm, inviting atmosphere with high-quality reflections in the wine glass. Video 2 suffers from lower resolution, poor lighting, and unappetizing food textures, failing to capture the 'elegance' requested in the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up view reveals an elegantly set restaurant table, adorned with an array of Western cuisine. The table features a perfectly cooked steak, glistening with a rich glaze, accompanied by a side of golden, crispy fries. Nearby, a fresh Caesar salad with vibrant green lettuce, crunchy croutons, and a sprinkle of Parmesan cheese adds a touch of color. A basket of warm, crusty bread sits beside a small dish of creamy butter. The scene is completed with a glass of deep red wine, its surface catching the ambient light, and a flickering candle casting a warm, inviting glow over the sumptuous feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Object Inventory Completeness", "reason_1": "Video 1 successfully includes the steak, fries, salad, bread, wine, and candle, though the 'butter' is ambiguous (possibly the white dish).", "reason_2": "Video 2 also includes all major items, but the 'butter' is also ambiguous (appears as a white dish or candle holder). Both are equal in object presence.", "score_1": 5, "score_2": 5}, {"name": "Attribute Fidelity (Textures & Colors)", "reason_1": "The steak in Video 1 has a realistic 'glistening glaze' and the fries look 'golden and crispy' as requested.", "reason_2": "The steak in Video 2 looks dark, oily, and burnt rather than perfectly cooked; the fries lack the requested golden crispiness.", "score_1": 8, "score_2": 2}, {"name": "Spatial Arrangement & Logic", "reason_1": "The layout is logical and elegant, with the wine glass and candle placed naturally relative to the main dish.", "reason_2": "The arrangement feels cluttered, and the camera angle makes the spatial relationship between the bread basket and the main plate feel awkward.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the specific textural attributes (glistening glaze, golden fries) much better than Video 2. While both videos contain the required objects, Video 1 arranges them in a more logical and 'elegant' manner consistent with the prompt's description.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high-resolution details visible in the lettuce leaves and the texture of the bread.", "reason_2": "The video is noticeably blurry and soft, lacking fine detail, resembling a lower-quality generation.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Reflection Physics", "reason_1": "The wine glass accurately reflects the environment and the candlelight, creating realistic refraction.", "reason_2": "The lighting is flat and dull; the wine glass lacks complex reflections, and the candle flame looks artificial.", "score_1": 8, "score_2": 2}, {"name": "Temporal Stability", "reason_1": "The video maintains consistent focus and object solidity throughout the camera movement.", "reason_2": "There is noticeable jitter and slight morphing in the background elements as the camera moves.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade visual fidelity with sharp focus and realistic lighting physics. Video 2 appears low-resolution, blurry, and lacks the dynamic range to make the food look appetizing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Culinary Aesthetics (Appetizing Appeal)", "reason_1": "The food looks delicious and high-end, perfectly fitting the 'elegantly set' description.", "reason_2": "The food looks unappealing, dark, and greasy, failing to evoke the 'sumptuous feast' vibe.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Quality", "reason_1": "Features a smooth, cinematic pan that reveals the table setting gradually and elegantly.", "reason_2": "The camera movement is shaky and erratic, detracting from the viewing experience.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Warmth & Glow)", "reason_1": "Successfully establishes a warm, inviting mood through lighting and color grading.", "reason_2": "The atmosphere feels cold and clinical due to the harsh white tablecloth and lack of warm ambient lighting.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 succeeds in creating an 'inviting' and 'elegant' atmosphere through smooth camera work and appetizing presentation. Video 2 fails aesthetically due to poor lighting and unappealing food rendering.", "cat_winner": "Video 1"}], "reason": "Video 1 is significantly superior in terms of visual fidelity, lighting, and aesthetic appeal. It accurately renders the textures of the food (glistening steak, crisp fries) and creates a warm, inviting atmosphere with high-quality reflections in the wine glass. Video 2 suffers from lower resolution, poor lighting, and unappetizing food textures, failing to capture the 'elegance' requested in the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 61.767} +{"pair_id": "025_seed_310", "sample_index": 25, "seed": 310, "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_310_In a sun-drenched backyard a lively group of frien.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_310_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_310_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_310_In a sun-drenched backyard a lively group of frien.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Group Composition\", \"reason_1\": \"Video 1 correctly depicts a group of friends in their late 20s with appropriate attire and energy.\", \"reason_2\": \"Video 2 generates a bizarre mix of ages, including elderly figures and distorted adults, failing the 'late 20s' constraint.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Grilling & Socializing)\", \"reason_1\": \"Video 1 clearly shows the grill, food, and people interacting socially with recognizable gestures.\", \"reason_2\": \"Video 2 shows a static, cluttered scene where the grilling action is obscured and the social interaction is non-existent due to lack of movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Background Event Integration (Frisbee & Dog)\", \"reason_1\": \"Video 1 includes the dog and a frisbee-like object, though the physics are floaty and the 'couple' tossing it is not clearly defined.\", \"reason_2\": \"Video 2 includes a dog, but the frisbee appears as a glitchy artifact in the sky with no logical connection to any characters.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately depicts the requested demographic (late 20s) and the core activities (grilling, socializing). Video 2 fails the demographic check by including elderly figures and fails to render coherent actions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial & Anatomical Integrity\", \"reason_1\": \"Subjects in Video 1 have coherent faces and bodies that maintain their structure throughout the clip.\", \"reason_2\": \"Video 2 is a failure case; faces are melted, eyes are missing or distorted, and limbs merge into the environment.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Fluidity & Temporal Coherence\", \"reason_1\": \"Video 1 features smooth, continuous motion consistent with a video format.\", \"reason_2\": \"Video 2 has almost no motion; it resembles a slideshow of slightly shifting, distorted images.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Stability (Grill & Props)\", \"reason_1\": \"The grill and table items in Video 1 remain solid and recognizable.\", \"reason_2\": \"Objects in Video 2 are ill-defined blobs that lack structural permanence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"The difference in quality is stark. Video 1 is a fluid video with stable subjects. Video 2 is a static, morphing mess with severe anatomical hallucinations.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Joy & Warmth)\", \"reason_1\": \"Video 1 successfully conveys a sunny, happy, and energetic atmosphere.\", \"reason_2\": \"The distorted faces and static nature of Video 2 create an eerie, uncanny valley effect rather than joy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement (Pan & Flow)\", \"reason_1\": \"Video 1 executes a handheld-style pan that connects the grill to the group, matching the prompt's direction.\", \"reason_2\": \"Video 2 is essentially a static shot with no meaningful camera movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"The framing in Video 1 is balanced, showing the foreground action and background context clearly.\", \"reason_2\": \"Video 2 is cluttered and messy, with subjects awkwardly bunched together and poor depth separation.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'vibrant energy' and 'effortless joy' requested. Video 2 creates an unintentional horror aesthetic due to the distortions.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a vastly superior generation that successfully renders a coherent video with fluid motion, recognizable human subjects, and the requested atmosphere. Video 2 suffers from severe quality issues, including static motion, nightmarish facial distortions, and a failure to animate the scene as a video rather than a morphing still image.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Group Composition", "reason_1": "Video 1 correctly depicts a group of friends in their late 20s with appropriate attire and energy.", "reason_2": "Video 2 generates a bizarre mix of ages, including elderly figures and distorted adults, failing the 'late 20s' constraint.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Grilling & Socializing)", "reason_1": "Video 1 clearly shows the grill, food, and people interacting socially with recognizable gestures.", "reason_2": "Video 2 shows a static, cluttered scene where the grilling action is obscured and the social interaction is non-existent due to lack of movement.", "score_1": 8, "score_2": 2}, {"name": "Background Event Integration (Frisbee & Dog)", "reason_1": "Video 1 includes the dog and a frisbee-like object, though the physics are floaty and the 'couple' tossing it is not clearly defined.", "reason_2": "Video 2 includes a dog, but the frisbee appears as a glitchy artifact in the sky with no logical connection to any characters.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately depicts the requested demographic (late 20s) and the core activities (grilling, socializing). Video 2 fails the demographic check by including elderly figures and fails to render coherent actions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial & Anatomical Integrity", "reason_1": "Subjects in Video 1 have coherent faces and bodies that maintain their structure throughout the clip.", "reason_2": "Video 2 is a failure case; faces are melted, eyes are missing or distorted, and limbs merge into the environment.", "score_1": 9, "score_2": 1}, {"name": "Motion Fluidity & Temporal Coherence", "reason_1": "Video 1 features smooth, continuous motion consistent with a video format.", "reason_2": "Video 2 has almost no motion; it resembles a slideshow of slightly shifting, distorted images.", "score_1": 9, "score_2": 1}, {"name": "Object Stability (Grill & Props)", "reason_1": "The grill and table items in Video 1 remain solid and recognizable.", "reason_2": "Objects in Video 2 are ill-defined blobs that lack structural permanence.", "score_1": 8, "score_2": 2}], "cat_reason": "The difference in quality is stark. Video 1 is a fluid video with stable subjects. Video 2 is a static, morphing mess with severe anatomical hallucinations.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Joy & Warmth)", "reason_1": "Video 1 successfully conveys a sunny, happy, and energetic atmosphere.", "reason_2": "The distorted faces and static nature of Video 2 create an eerie, uncanny valley effect rather than joy.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement (Pan & Flow)", "reason_1": "Video 1 executes a handheld-style pan that connects the grill to the group, matching the prompt's direction.", "reason_2": "Video 2 is essentially a static shot with no meaningful camera movement.", "score_1": 8, "score_2": 2}, {"name": "Visual Composition & Framing", "reason_1": "The framing in Video 1 is balanced, showing the foreground action and background context clearly.", "reason_2": "Video 2 is cluttered and messy, with subjects awkwardly bunched together and poor depth separation.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'vibrant energy' and 'effortless joy' requested. Video 2 creates an unintentional horror aesthetic due to the distortions.", "cat_winner": "Video 1"}], "reason": "Video 1 is a vastly superior generation that successfully renders a coherent video with fluid motion, recognizable human subjects, and the requested atmosphere. Video 2 suffers from severe quality issues, including static motion, nightmarish facial distortions, and a failure to animate the scene as a video rather than a morphing still image.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 60.658} +{"pair_id": "028_seed_42", "sample_index": 28, "seed": 42, "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_42_In a sun-dappled park a lively 10-year-old African.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Attributes\", \"reason_1\": \"Video 1 correctly depicts an African girl with braided hair and a Japanese man. The attributes are distinct and accurate.\", \"reason_2\": \"Video 2 fails significantly; the girl appears to be of Asian descent with a ponytail rather than braids, missing the core demographic instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Skipping vs. Walking)\", \"reason_1\": \"Video 1 captures the 'energetic skip' and 'arms swinging freely' perfectly, contrasting well with the man's measured walk.\", \"reason_2\": \"Video 2 shows the girl walking or jogging stiffly; the specific 'skipping' motion is absent, and the movement feels generic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Cherry Blossoms)\", \"reason_1\": \"Video 1 features a lush background dominated by pink cherry blossoms, matching the prompt's setting explicitly.\", \"reason_2\": \"Video 2 shows a generic green park with very few, if any, visible cherry blossoms, failing to establish the specific atmosphere.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 followed the prompt's specific instructions regarding subject demographics and environmental details, whereas Video 2 failed to generate the correct ethnicity for the girl and the specific floral setting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.\", \"reason_2\": \"The man's face in Video 2 distorts and morphs significantly as he turns his head, breaking the illusion of reality.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"The girl's skipping motion in Video 1 is fluid and rhythmic, respecting the physics of her dress and hair.\", \"reason_2\": \"The motion in Video 2 is stiff and robotic, lacking the natural weight and momentum expected of a human walk.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp with good texture details on the suit and dress.\", \"reason_2\": \"Video 2 appears softer and has a more artificial, 'video game' aesthetic with less realistic lighting.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high stability and clarity, while Video 2 suffers from noticeable facial morphing and lower visual fidelity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Atmosphere\", \"reason_1\": \"The contrast between the colorful dress, the dark suit, and the pink blossoms creates a beautiful, harmonious palette.\", \"reason_2\": \"The color palette is dull and dominated by generic greens, lacking the vibrancy described in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Character Contrast & Mood\", \"reason_1\": \"Video 1 effectively visually communicates the contrast between the girl's joy and the man's composure.\", \"reason_2\": \"Video 2 fails to convey the emotional contrast; both characters look somewhat expressionless and disconnected.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 balances the two subjects well against the background, keeping them the focus.\", \"reason_2\": \"The framing in Video 2 is functional but uninspired, with a flatter depth of field.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a visually pleasing and emotionally resonant scene that matches the 'harmonious' description, while Video 2 feels flat and disjointed.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it accurately renders the specific demographic requirements (African girl, Japanese man) and the environmental context (cherry blossoms) which Video 2 largely fails to achieve. Furthermore, Video 1 captures the distinct contrasting gaits (skipping vs. walking) with high visual fidelity and stability, whereas Video 2 suffers from facial morphing, incorrect subject attributes, and a lack of specific environmental details.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Attributes", "reason_1": "Video 1 correctly depicts an African girl with braided hair and a Japanese man. The attributes are distinct and accurate.", "reason_2": "Video 2 fails significantly; the girl appears to be of Asian descent with a ponytail rather than braids, missing the core demographic instruction.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Skipping vs. Walking)", "reason_1": "Video 1 captures the 'energetic skip' and 'arms swinging freely' perfectly, contrasting well with the man's measured walk.", "reason_2": "Video 2 shows the girl walking or jogging stiffly; the specific 'skipping' motion is absent, and the movement feels generic.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Cherry Blossoms)", "reason_1": "Video 1 features a lush background dominated by pink cherry blossoms, matching the prompt's setting explicitly.", "reason_2": "Video 2 shows a generic green park with very few, if any, visible cherry blossoms, failing to establish the specific atmosphere.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 followed the prompt's specific instructions regarding subject demographics and environmental details, whereas Video 2 failed to generate the correct ethnicity for the girl and the specific floral setting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.", "reason_2": "The man's face in Video 2 distorts and morphs significantly as he turns his head, breaking the illusion of reality.", "score_1": 8, "score_2": 2}, {"name": "Motion Fluidity & Physics", "reason_1": "The girl's skipping motion in Video 1 is fluid and rhythmic, respecting the physics of her dress and hair.", "reason_2": "The motion in Video 2 is stiff and robotic, lacking the natural weight and momentum expected of a human walk.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp with good texture details on the suit and dress.", "reason_2": "Video 2 appears softer and has a more artificial, 'video game' aesthetic with less realistic lighting.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high stability and clarity, while Video 2 suffers from noticeable facial morphing and lower visual fidelity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Atmosphere", "reason_1": "The contrast between the colorful dress, the dark suit, and the pink blossoms creates a beautiful, harmonious palette.", "reason_2": "The color palette is dull and dominated by generic greens, lacking the vibrancy described in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Character Contrast & Mood", "reason_1": "Video 1 effectively visually communicates the contrast between the girl's joy and the man's composure.", "reason_2": "Video 2 fails to convey the emotional contrast; both characters look somewhat expressionless and disconnected.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 balances the two subjects well against the background, keeping them the focus.", "reason_2": "The framing in Video 2 is functional but uninspired, with a flatter depth of field.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a visually pleasing and emotionally resonant scene that matches the 'harmonious' description, while Video 2 feels flat and disjointed.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it accurately renders the specific demographic requirements (African girl, Japanese man) and the environmental context (cherry blossoms) which Video 2 largely fails to achieve. Furthermore, Video 1 captures the distinct contrasting gaits (skipping vs. walking) with high visual fidelity and stability, whereas Video 2 suffers from facial morphing, incorrect subject attributes, and a lack of specific environmental details.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 63.639} +{"pair_id": "030_seed_930", "sample_index": 30, "seed": 930, "prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_030_seed_930_A static camera captures a seamless sequence as a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Fidelity (Lighting & Mood)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'mystery' requirements with appropriate shadowing and contrast.\", \"reason_2\": \"Video 2 completely ignores the lighting instruction, presenting a bright, evenly lit room that lacks any sense of mystery.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Sequence Completeness (Enter-Pause-Exit)\", \"reason_1\": \"Video 1 depicts the full sequence: entering, pausing to look, and exiting through the opposite door.\", \"reason_2\": \"Video 2 fails to show the character entering; the character simply materializes in the middle of the room, breaking the narrative logic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Coat, Hat, Furniture)\", \"reason_1\": \"Video 1 correctly renders the long coat, hat, vintage armchair, and table.\", \"reason_2\": \"Video 2 also correctly identifies and renders the required clothing and furniture items.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres strictly to the atmospheric and narrative constraints, whereas Video 2 fails the lighting instruction and the entry sequence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Temporal Stability)\", \"reason_1\": \"The character in Video 1 remains consistent in form and presence throughout the clip.\", \"reason_2\": \"Video 2 exhibits a severe hallucination artifact where the character pops into existence out of thin air, destroying realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Naturalness (Walking Physics)\", \"reason_1\": \"The walking motion in Video 1 is relatively grounded and purposeful.\", \"reason_2\": \"The motion in Video 2 is stiff and unnatural, exacerbated by the sudden appearance of the subject.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Clarity & Texture Resolution\", \"reason_1\": \"Video 1 is slightly softer and grainier, though this aids the vintage aesthetic.\", \"reason_2\": \"Video 2 has sharper textures and higher perceived resolution, despite the logical flaws.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 maintains subject permanence and realistic motion, while Video 2 suffers from a critical generation failure (pop-in).\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Tone & Color Grading\", \"reason_1\": \"Video 1 utilizes a desaturated, moody color palette that effectively evokes the requested 'air of mystery'.\", \"reason_2\": \"Video 2 uses flat, bright lighting that feels clinical and devoid of the requested cinematic atmosphere.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow & Pacing\", \"reason_1\": \"The clip flows logically from entry to exit, feeling like a complete scene.\", \"reason_2\": \"The narrative is broken by the glitchy start, making the sequence feel disjointed and incomplete.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 allows for the character's movement through the space to be clearly observed.\", \"reason_2\": \"The framing in Video 2 is static but the sudden appearance of the subject disrupts the visual balance.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully creates a cinematic 'film noir' aesthetic that matches the prompt's intent, while Video 2 feels like a sterile technical demo.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the 'dimly lit' and 'mysterious' atmosphere requested in the prompt, whereas Video 2 is too brightly lit. Furthermore, Video 1 depicts a coherent narrative sequence where the character enters, pauses, and exits naturally. In contrast, Video 2 suffers from a severe temporal hallucination where the character abruptly 'pops' into existence in the middle of the room, failing the basic requirement of a seamless sequence.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a seamless sequence as a person enters a dimly lit room through a wooden door, their silhouette briefly outlined by the hallway light. The room, sparsely furnished with a vintage armchair and a small table, exudes an air of mystery. The person, wearing a long coat and a hat, moves with purpose across the creaky wooden floor, their footsteps echoing softly. They pause momentarily, glancing around as if searching for something unseen. Then, without hesitation, they proceed to the opposite side of the room, where a second door awaits. With a gentle push, they exit, leaving the room in its quiet solitude once more.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Fidelity (Lighting & Mood)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'mystery' requirements with appropriate shadowing and contrast.", "reason_2": "Video 2 completely ignores the lighting instruction, presenting a bright, evenly lit room that lacks any sense of mystery.", "score_1": 9, "score_2": 1}, {"name": "Action Sequence Completeness (Enter-Pause-Exit)", "reason_1": "Video 1 depicts the full sequence: entering, pausing to look, and exiting through the opposite door.", "reason_2": "Video 2 fails to show the character entering; the character simply materializes in the middle of the room, breaking the narrative logic.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Coat, Hat, Furniture)", "reason_1": "Video 1 correctly renders the long coat, hat, vintage armchair, and table.", "reason_2": "Video 2 also correctly identifies and renders the required clothing and furniture items.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres strictly to the atmospheric and narrative constraints, whereas Video 2 fails the lighting instruction and the entry sequence.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Temporal Stability)", "reason_1": "The character in Video 1 remains consistent in form and presence throughout the clip.", "reason_2": "Video 2 exhibits a severe hallucination artifact where the character pops into existence out of thin air, destroying realism.", "score_1": 9, "score_2": 1}, {"name": "Motion Naturalness (Walking Physics)", "reason_1": "The walking motion in Video 1 is relatively grounded and purposeful.", "reason_2": "The motion in Video 2 is stiff and unnatural, exacerbated by the sudden appearance of the subject.", "score_1": 7, "score_2": 3}, {"name": "Visual Clarity & Texture Resolution", "reason_1": "Video 1 is slightly softer and grainier, though this aids the vintage aesthetic.", "reason_2": "Video 2 has sharper textures and higher perceived resolution, despite the logical flaws.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 maintains subject permanence and realistic motion, while Video 2 suffers from a critical generation failure (pop-in).", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Tone & Color Grading", "reason_1": "Video 1 utilizes a desaturated, moody color palette that effectively evokes the requested 'air of mystery'.", "reason_2": "Video 2 uses flat, bright lighting that feels clinical and devoid of the requested cinematic atmosphere.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow & Pacing", "reason_1": "The clip flows logically from entry to exit, feeling like a complete scene.", "reason_2": "The narrative is broken by the glitchy start, making the sequence feel disjointed and incomplete.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 allows for the character's movement through the space to be clearly observed.", "reason_2": "The framing in Video 2 is static but the sudden appearance of the subject disrupts the visual balance.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully creates a cinematic 'film noir' aesthetic that matches the prompt's intent, while Video 2 feels like a sterile technical demo.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the 'dimly lit' and 'mysterious' atmosphere requested in the prompt, whereas Video 2 is too brightly lit. Furthermore, Video 1 depicts a coherent narrative sequence where the character enters, pauses, and exits naturally. In contrast, Video 2 suffers from a severe temporal hallucination where the character abruptly 'pops' into existence in the middle of the room, failing the basic requirement of a seamless sequence.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 71.177} +{"pair_id": "033_seed_310", "sample_index": 33, "seed": 310, "prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_310_A charming Japanese actress wearing a pastel pink.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_310_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_310_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_310_A charming Japanese actress wearing a pastel pink.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Completeness (Chop & Stir)\", \"reason_1\": \"Video 1 depicts the chopping action well but fails to show the subject stirring the pot; the subject remains static at the cutting board.\", \"reason_2\": \"Video 2 successfully transitions the subject from chopping vegetables to adding them to the pot, fulfilling the multi-action requirement of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject & Attire Fidelity\", \"reason_1\": \"Video 1 perfectly renders the Japanese actress, the pastel pink apron, and the white blouse with high detail.\", \"reason_2\": \"Video 2 also accurately renders the specific clothing and subject description requested.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Detail (Decor & Lighting)\", \"reason_1\": \"Video 1 features distinct cherry blossom decorations and a very cozy, warm lighting setup that matches the 'inviting atmosphere' description perfectly.\", \"reason_2\": \"Video 2 includes the decorations, but the lighting is flatter and less 'warmly-lit' compared to the rich atmosphere of Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 is the only model that attempts to depict the full sequence of actions described in the prompt, specifically the transition from chopping to interacting with the pot.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-definition textures on the food, skin, and fabric.\", \"reason_2\": \"The image is noticeably softer and lacks the fine detail and sharpness present in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain perfectly consistent throughout the clip.\", \"reason_2\": \"The subject's face undergoes slight morphing and loss of detail as she moves and turns her head.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The chopping motion is fluid and the camera is stable, creating a professional look.\", \"reason_2\": \"The motion feels slightly jerky, and the transition between actions lacks the smoothness of Video 1.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates significantly higher resolution, sharper textures, and better temporal stability compared to the softer and slightly less stable Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Mood\", \"reason_1\": \"The lighting is soft, warm, and cinematic, perfectly evoking the 'cozy' and 'serene' mood requested.\", \"reason_2\": \"The lighting is functional but lacks the artistic warmth and depth seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced and aesthetically pleasing, focusing well on the subject and the ingredients.\", \"reason_2\": \"The framing is a bit wider and looser, feeling less intentional and cinematic.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Progression\", \"reason_1\": \"The video is essentially a loop of a single action (chopping) with no narrative progression.\", \"reason_2\": \"The video shows a clear progression of the cooking process, moving from prep to cooking, which adds narrative value.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 1 excels in creating the specific 'charming' and 'serene' mood requested, with superior composition and lighting that elevates the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the overall winner due to its superior visual fidelity, professional lighting, and high aesthetic quality. While Video 2 attempts the full narrative sequence (chopping then stirring), it suffers from lower resolution and less consistent subject identity. Video 1 captures the 'charming' and 'cozy' atmosphere with much greater success, presenting a polished, cinematic look that outweighs the omission of the stirring action.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Completeness (Chop & Stir)", "reason_1": "Video 1 depicts the chopping action well but fails to show the subject stirring the pot; the subject remains static at the cutting board.", "reason_2": "Video 2 successfully transitions the subject from chopping vegetables to adding them to the pot, fulfilling the multi-action requirement of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Subject & Attire Fidelity", "reason_1": "Video 1 perfectly renders the Japanese actress, the pastel pink apron, and the white blouse with high detail.", "reason_2": "Video 2 also accurately renders the specific clothing and subject description requested.", "score_1": 5, "score_2": 5}, {"name": "Environmental Detail (Decor & Lighting)", "reason_1": "Video 1 features distinct cherry blossom decorations and a very cozy, warm lighting setup that matches the 'inviting atmosphere' description perfectly.", "reason_2": "Video 2 includes the decorations, but the lighting is flatter and less 'warmly-lit' compared to the rich atmosphere of Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 is the only model that attempts to depict the full sequence of actions described in the prompt, specifically the transition from chopping to interacting with the pot.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-definition textures on the food, skin, and fabric.", "reason_2": "The image is noticeably softer and lacks the fine detail and sharpness present in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain perfectly consistent throughout the clip.", "reason_2": "The subject's face undergoes slight morphing and loss of detail as she moves and turns her head.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Stability", "reason_1": "The chopping motion is fluid and the camera is stable, creating a professional look.", "reason_2": "The motion feels slightly jerky, and the transition between actions lacks the smoothness of Video 1.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates significantly higher resolution, sharper textures, and better temporal stability compared to the softer and slightly less stable Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Mood", "reason_1": "The lighting is soft, warm, and cinematic, perfectly evoking the 'cozy' and 'serene' mood requested.", "reason_2": "The lighting is functional but lacks the artistic warmth and depth seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing is balanced and aesthetically pleasing, focusing well on the subject and the ingredients.", "reason_2": "The framing is a bit wider and looser, feeling less intentional and cinematic.", "score_1": 7, "score_2": 3}, {"name": "Narrative Progression", "reason_1": "The video is essentially a loop of a single action (chopping) with no narrative progression.", "reason_2": "The video shows a clear progression of the cooking process, moving from prep to cooking, which adds narrative value.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 1 excels in creating the specific 'charming' and 'serene' mood requested, with superior composition and lighting that elevates the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the overall winner due to its superior visual fidelity, professional lighting, and high aesthetic quality. While Video 2 attempts the full narrative sequence (chopping then stirring), it suffers from lower resolution and less consistent subject identity. Video 1 captures the 'charming' and 'cozy' atmosphere with much greater success, presenting a polished, cinematic look that outweighs the omission of the stirring action.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 53.0, "total_score_2": 37.0, "elapsed_sec": 54.493} +{"pair_id": "036_seed_42", "sample_index": 36, "seed": 42, "prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_42_A majestic Maasai warrior stands tall on the sunli.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_42_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_42_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_42_A majestic Maasai warrior stands tall on the sunli.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Fidelity (Shuka & Jewelry)\", \"reason_1\": \"Video 1 renders the red shuka and beaded jewelry with high texture fidelity and realistic material properties.\", \"reason_2\": \"Video 2 includes the correct items, but the jewelry appears somewhat flat and the shuka lacks the fabric weight seen in Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Adherence (Eyes Scanning)\", \"reason_1\": \"Video 1 depicts the warrior turning his head and shifting his gaze, accurately fulfilling the 'eyes scanning the horizon' instruction.\", \"reason_2\": \"Video 2 is a static image; the subject's eyes are fixed in one direction with no scanning motion whatsoever.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Savannah & Acacia)\", \"reason_1\": \"Video 1 places the subject in a convincing, depth-filled savannah environment with natural lighting.\", \"reason_2\": \"Video 2 features the correct background elements (acacia trees, blue sky) but they appear as a flat, static backdrop.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"While both videos accurately depict the static elements (warrior, red shuka, spear, beads), Video 1 is the only one that fulfills the dynamic semantic requirement of the subject's eyes 'scanning the horizon'.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Presence & Fluidity\", \"reason_1\": \"Video 1 exhibits smooth, natural motion in the subject's head, body, and the surrounding grass.\", \"reason_2\": \"Video 2 is completely static with zero perceptible motion, failing the basic criteria of video generation.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"Video 1 features realistic skin pores, lighting interaction, and fabric textures.\", \"reason_2\": \"Video 2 has a 'digital art' or 'plastic' aesthetic with oversaturated colors and smooth, unrealistic skin textures.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Shadow Dynamics\", \"reason_1\": \"Video 1 utilizes natural sunlight that casts realistic shadows and highlights the subject's features.\", \"reason_2\": \"Video 2 uses flat, high-contrast lighting that lacks depth and dynamic range.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high-quality video generation with realistic motion and photorealistic textures. Video 2 fails this category entirely as it lacks motion and resembles a digital illustration rather than a realistic video.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Depth & Composition\", \"reason_1\": \"Video 1 uses a shallow depth of field (bokeh) to separate the subject from the background, creating a cinematic look.\", \"reason_2\": \"Video 2 is visually flat with everything in relatively sharp focus, resembling a 2D collage.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression of Pride & Resilience\", \"reason_1\": \"The subtle facial movements in Video 1 convey a sense of living presence and resilience.\", \"reason_2\": \"The static, frozen expression in Video 2 feels stiff and lacks emotional nuance.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Naturalism\", \"reason_1\": \"Video 1 maintains a natural color palette consistent with a sunlit savannah.\", \"reason_2\": \"Video 2 is oversaturated, particularly the reds and blues, giving it an artificial, cartoon-like appearance.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 employs cinematic techniques like depth of field and natural color grading to evoke the requested 'majestic' mood. Video 2 lacks cinematic depth and feels like a static poster.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a superior generation because it is an actual video with fluid motion, realistic lighting, and cinematic depth, whereas Video 2 is effectively a static image with no perceptible movement. Video 1 successfully captures the dynamic action of 'eyes scanning' and renders the textures of the skin and jewelry with photorealistic fidelity, while Video 2 suffers from a plastic, oversaturated aesthetic typical of lower-quality static image generation.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Fidelity (Shuka & Jewelry)", "reason_1": "Video 1 renders the red shuka and beaded jewelry with high texture fidelity and realistic material properties.", "reason_2": "Video 2 includes the correct items, but the jewelry appears somewhat flat and the shuka lacks the fabric weight seen in Video 1.", "score_1": 6, "score_2": 4}, {"name": "Action Adherence (Eyes Scanning)", "reason_1": "Video 1 depicts the warrior turning his head and shifting his gaze, accurately fulfilling the 'eyes scanning the horizon' instruction.", "reason_2": "Video 2 is a static image; the subject's eyes are fixed in one direction with no scanning motion whatsoever.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Savannah & Acacia)", "reason_1": "Video 1 places the subject in a convincing, depth-filled savannah environment with natural lighting.", "reason_2": "Video 2 features the correct background elements (acacia trees, blue sky) but they appear as a flat, static backdrop.", "score_1": 6, "score_2": 4}], "cat_reason": "While both videos accurately depict the static elements (warrior, red shuka, spear, beads), Video 1 is the only one that fulfills the dynamic semantic requirement of the subject's eyes 'scanning the horizon'.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Presence & Fluidity", "reason_1": "Video 1 exhibits smooth, natural motion in the subject's head, body, and the surrounding grass.", "reason_2": "Video 2 is completely static with zero perceptible motion, failing the basic criteria of video generation.", "score_1": 10, "score_2": 0}, {"name": "Photorealistic Texture Rendering", "reason_1": "Video 1 features realistic skin pores, lighting interaction, and fabric textures.", "reason_2": "Video 2 has a 'digital art' or 'plastic' aesthetic with oversaturated colors and smooth, unrealistic skin textures.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Shadow Dynamics", "reason_1": "Video 1 utilizes natural sunlight that casts realistic shadows and highlights the subject's features.", "reason_2": "Video 2 uses flat, high-contrast lighting that lacks depth and dynamic range.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high-quality video generation with realistic motion and photorealistic textures. Video 2 fails this category entirely as it lacks motion and resembles a digital illustration rather than a realistic video.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Depth & Composition", "reason_1": "Video 1 uses a shallow depth of field (bokeh) to separate the subject from the background, creating a cinematic look.", "reason_2": "Video 2 is visually flat with everything in relatively sharp focus, resembling a 2D collage.", "score_1": 8, "score_2": 2}, {"name": "Expression of Pride & Resilience", "reason_1": "The subtle facial movements in Video 1 convey a sense of living presence and resilience.", "reason_2": "The static, frozen expression in Video 2 feels stiff and lacks emotional nuance.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Naturalism", "reason_1": "Video 1 maintains a natural color palette consistent with a sunlit savannah.", "reason_2": "Video 2 is oversaturated, particularly the reds and blues, giving it an artificial, cartoon-like appearance.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 employs cinematic techniques like depth of field and natural color grading to evoke the requested 'majestic' mood. Video 2 lacks cinematic depth and feels like a static poster.", "cat_winner": "Video 1"}], "reason": "Video 1 is a superior generation because it is an actual video with fluid motion, realistic lighting, and cinematic depth, whereas Video 2 is effectively a static image with no perceptible movement. Video 1 successfully captures the dynamic action of 'eyes scanning' and renders the textures of the skin and jewelry with photorealistic fidelity, while Video 2 suffers from a plastic, oversaturated aesthetic typical of lower-quality static image generation.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 57.181} +{"pair_id": "038_seed_930", "sample_index": 38, "seed": 930, "prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_038_seed_930_An Indigenous Australian family gathers under a st.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Cultural Specificity\", \"reason_1\": \"Video 1 depicts a group that appears more generic or potentially South Asian/Hispanic in phenotype, missing the specific 'Indigenous Australian' descriptor.\", \"reason_2\": \"Video 2 accurately depicts the requested Indigenous Australian phenotype and includes specific cultural details like traditional necklaces and woven patterns.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Fulfillment (Storytelling & Nodding)\", \"reason_1\": \"Video 1 is essentially a static image; the elder does not speak, and the adults do not nod, failing the action prompt entirely.\", \"reason_2\": \"Video 2 clearly depicts the elder speaking and gesturing, and the surrounding family members nodding and reacting, fulfilling the narrative action requirements.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Bushland & Fire)\", \"reason_1\": \"Video 1 renders a convincing campfire and bushland background with appropriate lighting.\", \"reason_2\": \"Video 2 also successfully renders the campfire and bushland setting, with the fire acting as a central light source.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 correctly identifies the specific demographic and cultural markers requested and attempts the complex actions described. Video 1 fails to depict the specific ethnicity accurately and ignores the action verbs in the prompt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"Video 1 maintains perfect structural integrity of faces and bodies throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'melting' and warping of faces, particularly the elder's and the woman on the right, which breaks realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 features high-resolution textures on the blankets and skin, with a clean, noise-free image.\", \"reason_2\": \"Video 2 appears softer, with noticeable generation noise and a lack of fine texture detail compared to Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence vs. Artifacts\", \"reason_1\": \"Video 1 has minimal motion (mostly fire), but what is there is coherent and artifact-free.\", \"reason_2\": \"Video 2 attempts complex motion but introduces distracting artifacts, such as the background trees warping and the fire looking unnatural.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is technically superior in terms of image stability and clarity. Video 2 suffers from severe morphological instability, with faces warping and melting significantly during movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Storytelling Event)\", \"reason_1\": \"Video 1 lacks narrative progression; it is a frozen moment in time rather than a story unfolding.\", \"reason_2\": \"Video 2 conveys a clear sequence of events: the elder speaks, the group listens, and the atmosphere shifts, creating a true narrative flow.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Atmosphere (Intimacy & Kinship)\", \"reason_1\": \"The static nature of Video 1 makes the scene feel posed and distant, lacking the warmth of a shared family moment.\", \"reason_2\": \"Despite the artifacts, the interaction between the characters in Video 2 successfully evokes the feeling of kinship and shared history described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Dynamics (Firelight Interaction)\", \"reason_1\": \"The lighting in Video 1 is static and does not interact dynamically with the subjects' faces.\", \"reason_2\": \"Video 2 attempts to show the firelight 'dancing' across faces as requested, adding to the dynamic realism of the scene.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the emotional essence and narrative flow of the prompt, creating a scene of connection and storytelling. Video 1 feels like a posed stock photo with no narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner in terms of semantic alignment and narrative execution. It successfully depicts the specific cultural demographics requested (Indigenous Australian features and attire) and, crucially, animates the complex interactions described in the prompt (the elder speaking, the family nodding). Video 1, while having superior image stability and resolution, fails to adhere to the specific cultural markers (appearing more generic) and is functionally a static image with no narrative motion, ignoring the prompt's instructions for storytelling and interaction.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "An Indigenous Australian family gathers under a starlit sky, seated in a circle around a crackling campfire, its warm glow casting flickering shadows on their faces. The elder, with wisdom etched in his features, shares ancestral stories, his voice resonating with the crackle of the flames. Children listen intently, their eyes wide with wonder, while the adults nod in appreciation, wrapped in traditional woven blankets. The firelight dances across their expressions, highlighting the deep connection and shared history. The surrounding bushland whispers in the night, adding a serene backdrop to this intimate gathering, where culture and kinship intertwine.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Cultural Specificity", "reason_1": "Video 1 depicts a group that appears more generic or potentially South Asian/Hispanic in phenotype, missing the specific 'Indigenous Australian' descriptor.", "reason_2": "Video 2 accurately depicts the requested Indigenous Australian phenotype and includes specific cultural details like traditional necklaces and woven patterns.", "score_1": 3, "score_2": 7}, {"name": "Action Fulfillment (Storytelling & Nodding)", "reason_1": "Video 1 is essentially a static image; the elder does not speak, and the adults do not nod, failing the action prompt entirely.", "reason_2": "Video 2 clearly depicts the elder speaking and gesturing, and the surrounding family members nodding and reacting, fulfilling the narrative action requirements.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Bushland & Fire)", "reason_1": "Video 1 renders a convincing campfire and bushland background with appropriate lighting.", "reason_2": "Video 2 also successfully renders the campfire and bushland setting, with the fire acting as a central light source.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 correctly identifies the specific demographic and cultural markers requested and attempts the complex actions described. Video 1 fails to depict the specific ethnicity accurately and ignores the action verbs in the prompt.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Body)", "reason_1": "Video 1 maintains perfect structural integrity of faces and bodies throughout the clip.", "reason_2": "Video 2 suffers from severe 'melting' and warping of faces, particularly the elder's and the woman on the right, which breaks realism.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 features high-resolution textures on the blankets and skin, with a clean, noise-free image.", "reason_2": "Video 2 appears softer, with noticeable generation noise and a lack of fine texture detail compared to Video 1.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence vs. Artifacts", "reason_1": "Video 1 has minimal motion (mostly fire), but what is there is coherent and artifact-free.", "reason_2": "Video 2 attempts complex motion but introduces distracting artifacts, such as the background trees warping and the fire looking unnatural.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is technically superior in terms of image stability and clarity. Video 2 suffers from severe morphological instability, with faces warping and melting significantly during movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Storytelling Event)", "reason_1": "Video 1 lacks narrative progression; it is a frozen moment in time rather than a story unfolding.", "reason_2": "Video 2 conveys a clear sequence of events: the elder speaks, the group listens, and the atmosphere shifts, creating a true narrative flow.", "score_1": 2, "score_2": 8}, {"name": "Emotional Atmosphere (Intimacy & Kinship)", "reason_1": "The static nature of Video 1 makes the scene feel posed and distant, lacking the warmth of a shared family moment.", "reason_2": "Despite the artifacts, the interaction between the characters in Video 2 successfully evokes the feeling of kinship and shared history described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Lighting Dynamics (Firelight Interaction)", "reason_1": "The lighting in Video 1 is static and does not interact dynamically with the subjects' faces.", "reason_2": "Video 2 attempts to show the firelight 'dancing' across faces as requested, adding to the dynamic realism of the scene.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the emotional essence and narrative flow of the prompt, creating a scene of connection and storytelling. Video 1 feels like a posed stock photo with no narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner in terms of semantic alignment and narrative execution. It successfully depicts the specific cultural demographics requested (Indigenous Australian features and attire) and, crucially, animates the complex interactions described in the prompt (the elder speaking, the family nodding). Video 1, while having superior image stability and resolution, fails to adhere to the specific cultural markers (appearing more generic) and is functionally a static image with no narrative motion, ignoring the prompt's instructions for storytelling and interaction.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 43.0, "total_score_2": 47.0, "elapsed_sec": 60.614} +{"pair_id": "041_seed_310", "sample_index": 41, "seed": 310, "prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_310_A lively group of South Asian women adorned in vib.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_310_A lively group of South Asian women adorned in vib.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_310_A lively group of South Asian women adorned in vib.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_310_A lively group of South Asian women adorned in vib.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Graceful & Synchronized Dance)\", \"reason_1\": \"The movement is jerky, unnatural, and lacks the requested grace. The synchronization is broken by severe morphing artifacts.\", \"reason_2\": \"The video displays a coherent, rhythmic dance movement that feels synchronized and graceful, aligning perfectly with the prompt's action requirements.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Accuracy (Sari Colors & Details)\", \"reason_1\": \"While the colors are present, the rendering of the saris is inconsistent, with textures that look plastic and unstable.\", \"reason_2\": \"The saris are rendered with high fidelity, showcasing the requested red, gold, and emerald tones with realistic fabric textures and shimmer.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Festival & Crowd)\", \"reason_1\": \"The background is present but blurry and indistinct, failing to clearly convey a 'bustling' atmosphere.\", \"reason_2\": \"The background clearly shows decorations and a crowd, effectively establishing the festive context requested.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the 'graceful' and 'synchronized' nature of the dance, whereas Video 1's motion is chaotic and glitchy. Video 2 also renders the specific sari colors and festival atmosphere with greater clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Body & Limbs)\", \"reason_1\": \"The video exhibits severe hallucinations; arms merge into bodies, and hands lose their shape entirely during movement.\", \"reason_2\": \"The subjects maintain consistent anatomical structure throughout the clip, with no noticeable morphing or warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The faces of the women distort and change features significantly from frame to frame, breaking immersion.\", \"reason_2\": \"The facial features of the main subjects remain consistent and recognizable throughout the duration of the video.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The overall image is soft and lacks definition, with significant noise and artifacts.\", \"reason_2\": \"The video is sharp, with clear details on jewelry (bangles) and clothing patterns.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"This is the most significant differentiator. Video 1 fails fundamentally in maintaining subject integrity, with limbs and faces melting. Video 2 remains stable, sharp, and realistic throughout.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual experience is marred by distracting glitches and unnatural motion, making it aesthetically unpleasant.\", \"reason_2\": \"The video is visually pleasing, with vibrant colors and smooth motion that effectively captures the beauty of the cultural heritage.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Expression of Mood (Joy & Concentration)\", \"reason_1\": \"The facial distortions make it impossible to read any genuine expression of joy or concentration.\", \"reason_2\": \"The subjects display focused and pleasant expressions that align well with the 'blend of concentration and joy' described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is somewhat chaotic, and the subjects often drift awkwardly within the frame.\", \"reason_2\": \"The composition is balanced, keeping the dancers well-framed to showcase their synchronized movements and attire.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a professional, aesthetically pleasing presentation with good lighting and composition. Video 1 is visually disturbing due to the artifacts and lacks artistic merit.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in technical execution and semantic alignment. It successfully renders a stable, synchronized dance performance with high visual fidelity, maintaining subject identity and anatomical logic. Video 1 suffers from severe morphological instability, with significant warping of faces and limbs, and fails to capture the 'graceful' nature of the movement requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Graceful & Synchronized Dance)", "reason_1": "The movement is jerky, unnatural, and lacks the requested grace. The synchronization is broken by severe morphing artifacts.", "reason_2": "The video displays a coherent, rhythmic dance movement that feels synchronized and graceful, aligning perfectly with the prompt's action requirements.", "score_1": 2, "score_2": 8}, {"name": "Attribute Accuracy (Sari Colors & Details)", "reason_1": "While the colors are present, the rendering of the saris is inconsistent, with textures that look plastic and unstable.", "reason_2": "The saris are rendered with high fidelity, showcasing the requested red, gold, and emerald tones with realistic fabric textures and shimmer.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Festival & Crowd)", "reason_1": "The background is present but blurry and indistinct, failing to clearly convey a 'bustling' atmosphere.", "reason_2": "The background clearly shows decorations and a crowd, effectively establishing the festive context requested.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the 'graceful' and 'synchronized' nature of the dance, whereas Video 1's motion is chaotic and glitchy. Video 2 also renders the specific sari colors and festival atmosphere with greater clarity.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Body & Limbs)", "reason_1": "The video exhibits severe hallucinations; arms merge into bodies, and hands lose their shape entirely during movement.", "reason_2": "The subjects maintain consistent anatomical structure throughout the clip, with no noticeable morphing or warping.", "score_1": 1, "score_2": 9}, {"name": "Subject Identity Persistence", "reason_1": "The faces of the women distort and change features significantly from frame to frame, breaking immersion.", "reason_2": "The facial features of the main subjects remain consistent and recognizable throughout the duration of the video.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The overall image is soft and lacks definition, with significant noise and artifacts.", "reason_2": "The video is sharp, with clear details on jewelry (bangles) and clothing patterns.", "score_1": 3, "score_2": 7}], "cat_reason": "This is the most significant differentiator. Video 1 fails fundamentally in maintaining subject integrity, with limbs and faces melting. Video 2 remains stable, sharp, and realistic throughout.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The visual experience is marred by distracting glitches and unnatural motion, making it aesthetically unpleasant.", "reason_2": "The video is visually pleasing, with vibrant colors and smooth motion that effectively captures the beauty of the cultural heritage.", "score_1": 2, "score_2": 8}, {"name": "Expression of Mood (Joy & Concentration)", "reason_1": "The facial distortions make it impossible to read any genuine expression of joy or concentration.", "reason_2": "The subjects display focused and pleasant expressions that align well with the 'blend of concentration and joy' described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing is somewhat chaotic, and the subjects often drift awkwardly within the frame.", "reason_2": "The composition is balanced, keeping the dancers well-framed to showcase their synchronized movements and attire.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a professional, aesthetically pleasing presentation with good lighting and composition. Video 1 is visually disturbing due to the artifacts and lacks artistic merit.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in technical execution and semantic alignment. It successfully renders a stable, synchronized dance performance with high visual fidelity, maintaining subject identity and anatomical logic. Video 1 suffers from severe morphological instability, with significant warping of faces and limbs, and fails to capture the 'graceful' nature of the movement requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 55.047} +{"pair_id": "044_seed_42", "sample_index": 44, "seed": 42, "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_42_A close-up shot captures a persons face initially.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Expression Transition (Joy to Contemplation)\", \"reason_1\": \"Video 1 fails to show the smile fading; the subject maintains a static, open-mouthed smile throughout the clip.\", \"reason_2\": \"Video 2 perfectly captures the prompt's instruction: the smile fades, the mouth closes, and the expression shifts to a contemplative look.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Temperature Shift\", \"reason_1\": \"Video 1 attempts a color shift, but it manifests as a harsh, unnatural purple/blue tint overlay rather than a subtle atmospheric change.\", \"reason_2\": \"Video 2 executes a subtle and realistic shift in lighting temperature, moving from warm to cool without breaking the scene's realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Micro-Expression Fidelity (Muscle Play)\", \"reason_1\": \"Video 1 lacks the 'intricate play of facial muscles' requested; the face remains largely frozen in a single state.\", \"reason_2\": \"Video 2 showcases realistic muscle relaxation around the eyes and mouth, accurately depicting the transition from a smile to a neutral expression.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 followed the prompt's narrative arc of changing expressions and lighting, whereas Video 1 failed to execute the 'fading smile' and 'contemplation' phases.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Photorealism\", \"reason_1\": \"The skin in Video 1 appears overly smooth, waxy, and plastic, lacking natural pores or imperfections.\", \"reason_2\": \"Video 2 renders skin with high fidelity, showing realistic pores, wrinkles, and texture variations consistent with a high-quality close-up.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Grading Naturalism\", \"reason_1\": \"The color grading in Video 1 is jarring, with the blue light looking like a digital filter rather than environmental lighting.\", \"reason_2\": \"Video 2 maintains a cinematic and natural look, with the lighting changes affecting the skin tones realistically.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Anatomical Stability (Teeth & Mouth)\", \"reason_1\": \"The teeth in Video 1 appear slightly merged and lack definition, contributing to the artificial look.\", \"reason_2\": \"Video 2 maintains anatomical consistency in the teeth and lips throughout the complex motion of closing the mouth.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates high-end photorealism with convincing skin texture, while Video 1 suffers from a plastic, artificial appearance.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"Video 1 fails to evoke the requested mood shift, remaining static and emotionally flat.\", \"reason_2\": \"Video 2 effectively conveys the transition from joy to a more serious, contemplative mood, creating a stronger emotional connection.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Lighting Aesthetics\", \"reason_1\": \"The lighting in Video 1 is harsh and unflattering, detracting from the aesthetic appeal.\", \"reason_2\": \"Video 2 uses lighting effectively to sculpt the face and enhance the mood, resembling professional cinematography.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 feels like a looped fragment with no beginning or end.\", \"reason_2\": \"Video 2 has a clear narrative arc (start, transition, end) that aligns perfectly with the prompt's storytelling intent.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully conveys the emotional shift requested by the prompt, creating a complete micro-narrative.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the complex temporal requirements of the prompt. It successfully depicts the transition from a radiant smile to a contemplative expression, accompanied by a natural shift in lighting temperature. Video 1 fails to show the expression fading, maintaining a static smile throughout, and applies the lighting change as an unnatural, jarring color filter rather than a subtle atmospheric shift.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Expression Transition (Joy to Contemplation)", "reason_1": "Video 1 fails to show the smile fading; the subject maintains a static, open-mouthed smile throughout the clip.", "reason_2": "Video 2 perfectly captures the prompt's instruction: the smile fades, the mouth closes, and the expression shifts to a contemplative look.", "score_1": 1, "score_2": 9}, {"name": "Lighting Temperature Shift", "reason_1": "Video 1 attempts a color shift, but it manifests as a harsh, unnatural purple/blue tint overlay rather than a subtle atmospheric change.", "reason_2": "Video 2 executes a subtle and realistic shift in lighting temperature, moving from warm to cool without breaking the scene's realism.", "score_1": 3, "score_2": 7}, {"name": "Micro-Expression Fidelity (Muscle Play)", "reason_1": "Video 1 lacks the 'intricate play of facial muscles' requested; the face remains largely frozen in a single state.", "reason_2": "Video 2 showcases realistic muscle relaxation around the eyes and mouth, accurately depicting the transition from a smile to a neutral expression.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 followed the prompt's narrative arc of changing expressions and lighting, whereas Video 1 failed to execute the 'fading smile' and 'contemplation' phases.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Photorealism", "reason_1": "The skin in Video 1 appears overly smooth, waxy, and plastic, lacking natural pores or imperfections.", "reason_2": "Video 2 renders skin with high fidelity, showing realistic pores, wrinkles, and texture variations consistent with a high-quality close-up.", "score_1": 2, "score_2": 8}, {"name": "Color Grading Naturalism", "reason_1": "The color grading in Video 1 is jarring, with the blue light looking like a digital filter rather than environmental lighting.", "reason_2": "Video 2 maintains a cinematic and natural look, with the lighting changes affecting the skin tones realistically.", "score_1": 2, "score_2": 8}, {"name": "Anatomical Stability (Teeth & Mouth)", "reason_1": "The teeth in Video 1 appear slightly merged and lack definition, contributing to the artificial look.", "reason_2": "Video 2 maintains anatomical consistency in the teeth and lips throughout the complex motion of closing the mouth.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates high-end photorealism with convincing skin texture, while Video 1 suffers from a plastic, artificial appearance.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Mood", "reason_1": "Video 1 fails to evoke the requested mood shift, remaining static and emotionally flat.", "reason_2": "Video 2 effectively conveys the transition from joy to a more serious, contemplative mood, creating a stronger emotional connection.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Lighting Aesthetics", "reason_1": "The lighting in Video 1 is harsh and unflattering, detracting from the aesthetic appeal.", "reason_2": "Video 2 uses lighting effectively to sculpt the face and enhance the mood, resembling professional cinematography.", "score_1": 3, "score_2": 7}, {"name": "Narrative Completeness", "reason_1": "Video 1 feels like a looped fragment with no beginning or end.", "reason_2": "Video 2 has a clear narrative arc (start, transition, end) that aligns perfectly with the prompt's storytelling intent.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully conveys the emotional shift requested by the prompt, creating a complete micro-narrative.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the complex temporal requirements of the prompt. It successfully depicts the transition from a radiant smile to a contemplative expression, accompanied by a natural shift in lighting temperature. Video 1 fails to show the expression fading, maintaining a static smile throughout, and applies the lighting change as an unnatural, jarring color filter rather than a subtle atmospheric shift.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 20.0, "total_score_2": 70.0, "elapsed_sec": 55.734} +{"pair_id": "046_seed_930", "sample_index": 46, "seed": 930, "prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_046_seed_930_In a softly lit room the camera zooms in on a pair.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Object Fidelity (Sleek Black Keyboard)\", \"reason_1\": \"Video 1 generates a keyboard with a bizarre, illogical layout that mixes piano-like white keys with a grid of black keys, failing the 'sleek' descriptor.\", \"reason_2\": \"Video 2 renders a realistic, standard sleek black computer keyboard that perfectly matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Accuracy (Silver Ring)\", \"reason_1\": \"Video 1 features a ring, but it appears somewhat thick and lacks the distinct metallic sheen described.\", \"reason_2\": \"Video 2 features a clearly defined, simple silver ring that catches the light naturally, matching the prompt's detail.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Dynamics (Blur & Rhythm)\", \"reason_1\": \"The motion in Video 1 is somewhat jerky and lacks the fluid 'blur' described in the prompt.\", \"reason_2\": \"Video 2 captures the 'fingers a blur' aspect effectively with smooth, rapid motion that implies the requested rhythm.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the 'sleek, black keyboard' and the 'simple silver ring' with high fidelity. Video 1 fails significantly on the object definition, generating a nonsensical keyboard layout.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Logic & Structural Integrity\", \"reason_1\": \"The keyboard in Video 1 is structurally incoherent, with keys that do not follow a logical grid or functional design.\", \"reason_2\": \"The keyboard in Video 2 maintains perfect structural logic and perspective throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity (Texture & Sharpness)\", \"reason_1\": \"Video 1 has a slightly plastic, over-smoothed look to the skin and keys.\", \"reason_2\": \"Video 2 displays high-quality textures on the skin and the glossy surface of the keys, enhancing realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The movement in Video 1 feels slightly stuttered and lacks the fluidity of real typing.\", \"reason_2\": \"Video 2 exhibits smooth, continuous motion consistent with high-quality video footage.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior realism in object structure and texture. Video 1 suffers from severe hallucinations regarding the keyboard's geometry.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Soft & Gentle)\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and harsh, missing the 'softly lit' and 'gentle shadows' requirement.\", \"reason_2\": \"Video 2 utilizes a warm, soft backlight that creates the exact 'atmosphere of focused creativity' requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Depth of Field\", \"reason_1\": \"Video 1 has a standard close-up but lacks artistic depth.\", \"reason_2\": \"Video 2 uses a shallow depth of field (bokeh) effectively to focus attention on the hands and ring, adding cinematic value.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Due to the strange object generation and flat lighting, Video 1 is visually unappealing.\", \"reason_2\": \"Video 2 is aesthetically pleasing, professional, and visually engaging.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 perfectly captures the 'softly lit' and 'focused creativity' atmosphere through excellent lighting and depth of field, whereas Video 1 looks flatter and less cinematic.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it delivers a photorealistic and logically sound representation of the prompt. It features a correctly structured keyboard, realistic hand anatomy, and beautiful lighting that perfectly matches the 'softly lit' and 'focused creativity' atmosphere. Video 1 suffers from significant hallucinations, particularly in the keyboard design which is structurally nonsensical, and the lighting is harsher and less atmospheric.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a softly lit room, the camera zooms in on a pair of nimble hands, their fingers a blur as they dance across a sleek, black keyboard. The keys click rhythmically, creating a symphony of productivity. Occasionally, the fingers pause, hovering momentarily, as if contemplating the next move, before resuming their rapid pace. The hands, adorned with a simple silver ring, exude confidence and dexterity. The ambient light casts gentle shadows, highlighting the subtle movements and the keyboard's glossy surface, creating an atmosphere of focused creativity and silent determination.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Object Fidelity (Sleek Black Keyboard)", "reason_1": "Video 1 generates a keyboard with a bizarre, illogical layout that mixes piano-like white keys with a grid of black keys, failing the 'sleek' descriptor.", "reason_2": "Video 2 renders a realistic, standard sleek black computer keyboard that perfectly matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Attribute Accuracy (Silver Ring)", "reason_1": "Video 1 features a ring, but it appears somewhat thick and lacks the distinct metallic sheen described.", "reason_2": "Video 2 features a clearly defined, simple silver ring that catches the light naturally, matching the prompt's detail.", "score_1": 4, "score_2": 6}, {"name": "Action Dynamics (Blur & Rhythm)", "reason_1": "The motion in Video 1 is somewhat jerky and lacks the fluid 'blur' described in the prompt.", "reason_2": "Video 2 captures the 'fingers a blur' aspect effectively with smooth, rapid motion that implies the requested rhythm.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the 'sleek, black keyboard' and the 'simple silver ring' with high fidelity. Video 1 fails significantly on the object definition, generating a nonsensical keyboard layout.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Logic & Structural Integrity", "reason_1": "The keyboard in Video 1 is structurally incoherent, with keys that do not follow a logical grid or functional design.", "reason_2": "The keyboard in Video 2 maintains perfect structural logic and perspective throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity (Texture & Sharpness)", "reason_1": "Video 1 has a slightly plastic, over-smoothed look to the skin and keys.", "reason_2": "Video 2 displays high-quality textures on the skin and the glossy surface of the keys, enhancing realism.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness", "reason_1": "The movement in Video 1 feels slightly stuttered and lacks the fluidity of real typing.", "reason_2": "Video 2 exhibits smooth, continuous motion consistent with high-quality video footage.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior realism in object structure and texture. Video 1 suffers from severe hallucinations regarding the keyboard's geometry.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Soft & Gentle)", "reason_1": "The lighting in Video 1 is somewhat flat and harsh, missing the 'softly lit' and 'gentle shadows' requirement.", "reason_2": "Video 2 utilizes a warm, soft backlight that creates the exact 'atmosphere of focused creativity' requested.", "score_1": 2, "score_2": 8}, {"name": "Composition & Depth of Field", "reason_1": "Video 1 has a standard close-up but lacks artistic depth.", "reason_2": "Video 2 uses a shallow depth of field (bokeh) effectively to focus attention on the hands and ring, adding cinematic value.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "Due to the strange object generation and flat lighting, Video 1 is visually unappealing.", "reason_2": "Video 2 is aesthetically pleasing, professional, and visually engaging.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 perfectly captures the 'softly lit' and 'focused creativity' atmosphere through excellent lighting and depth of field, whereas Video 1 looks flatter and less cinematic.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it delivers a photorealistic and logically sound representation of the prompt. It features a correctly structured keyboard, realistic hand anatomy, and beautiful lighting that perfectly matches the 'softly lit' and 'focused creativity' atmosphere. Video 1 suffers from significant hallucinations, particularly in the keyboard design which is structurally nonsensical, and the lighting is harsher and less atmospheric.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 67.0, "elapsed_sec": 55.494} +{"pair_id": "049_seed_310", "sample_index": 49, "seed": 310, "prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_310_In a serene softly lit room the camera remains fix.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_310_In a serene softly lit room the camera remains fix.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_310_In a serene softly lit room the camera remains fix.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_310_In a serene softly lit room the camera remains fix.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Temporal Emotional Progression\", \"reason_1\": \"Video 1 is a static image with no change in expression, completely failing the prompt's instruction for a transformation from joy to sorrow.\", \"reason_2\": \"Video 2 depicts a clear shift in expression, moving from a smile to a furrowed, crying face, aligning well with the requested narrative arc.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Specific Facial Attribute Rendering\", \"reason_1\": \"Video 1 renders a smile, but the eyes are blank white (zombie-like) rather than 'sparkling with joy', and the tears are static drawings.\", \"reason_2\": \"Video 2 renders realistic furrowing brows, glistening eyes, and a fading smile, capturing the specific physical attributes requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Lighting & Context\", \"reason_1\": \"Video 1 has a bright, anime-style background that fits the 'serene room' description but lacks the 'softly lit' nuance.\", \"reason_2\": \"Video 2 features realistic, soft lighting that enhances the emotional mood, though the background is somewhat indistinct.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 follows the prompt's narrative instructions regarding the change in emotion, whereas Video 1 ignores the temporal aspect entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Presence & Fluidity\", \"reason_1\": \"Video 1 is effectively a still image; there is no perceptible motion or animation.\", \"reason_2\": \"Video 2 contains fluid motion of the facial muscles and head, qualifying it as a video.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is perfectly stable because it does not move.\", \"reason_2\": \"Video 2 suffers from significant distortion and warping of the facial features (nose and mouth) as the expression changes.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 is a clean, sharp 2D anime illustration.\", \"reason_2\": \"Video 2 has a 'muddy' texture and lower resolution appearance, with noticeable generation artifacts.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Although Video 1 is cleaner, it fails the fundamental definition of a video by being static. Video 2 has motion, despite some morphological instability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Human Experience\", \"reason_1\": \"The static, blank-eyed expression in Video 1 feels unnatural and fails to convey the 'raw, human experience' requested.\", \"reason_2\": \"Video 2 effectively conveys a sense of sadness and emotional transition, creating a stronger empathetic connection.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 captures only a single frozen moment, missing the story of the 'cloud passing over a sunlit landscape'.\", \"reason_2\": \"Video 2 tells the complete micro-story of the emotional shift described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 adheres to the fixed camera and blurred background instruction.\", \"reason_2\": \"Video 2 also adheres to the fixed camera and blurred background instruction.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 captures the emotional weight and narrative flow required by the prompt, while Video 1 lacks narrative progression.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Facial Animation & Expressiveness\", \"dims\": [{\"name\": \"Micro-Expression Dynamics\", \"reason_1\": \"Video 1 lacks any micro-expressions; the face is frozen.\", \"reason_2\": \"Video 2 shows the subtle shifting of the mouth and eyes associated with crying, fulfilling the 'nuanced dance' requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Tear Generation & Physics\", \"reason_1\": \"Video 1 uses stylized, static blue lines to represent tears, which is a symbolic rather than realistic representation.\", \"reason_2\": \"Video 2 generates actual liquid tears that roll down the face, adding to the realism of the sorrow.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Brow & Eye Articulation\", \"reason_1\": \"The brows and eyes in Video 1 are static drawings.\", \"reason_2\": \"Video 2 animates the furrowing of the brows and the widening of the eyes, directly addressing the prompt's specific anatomical instructions.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"This personalized category highlights the specific requirement for facial animation, where Video 2 excels and Video 1 fails.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully attempts the core requirement of the prompt: a dynamic transformation of facial expressions from joy to sorrow. While Video 2 suffers from some morphological instability (warping), it captures the narrative arc, the specific facial muscle movements (furrowing brows, glistening eyes), and the emotional shift. Video 1, conversely, is essentially a static image with no discernible motion or emotional progression, failing to depict the 'dance of emotions' or the 'swift transformation' requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Temporal Emotional Progression", "reason_1": "Video 1 is a static image with no change in expression, completely failing the prompt's instruction for a transformation from joy to sorrow.", "reason_2": "Video 2 depicts a clear shift in expression, moving from a smile to a furrowed, crying face, aligning well with the requested narrative arc.", "score_1": 1, "score_2": 9}, {"name": "Specific Facial Attribute Rendering", "reason_1": "Video 1 renders a smile, but the eyes are blank white (zombie-like) rather than 'sparkling with joy', and the tears are static drawings.", "reason_2": "Video 2 renders realistic furrowing brows, glistening eyes, and a fading smile, capturing the specific physical attributes requested.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Lighting & Context", "reason_1": "Video 1 has a bright, anime-style background that fits the 'serene room' description but lacks the 'softly lit' nuance.", "reason_2": "Video 2 features realistic, soft lighting that enhances the emotional mood, though the background is somewhat indistinct.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 follows the prompt's narrative instructions regarding the change in emotion, whereas Video 1 ignores the temporal aspect entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Presence & Fluidity", "reason_1": "Video 1 is effectively a still image; there is no perceptible motion or animation.", "reason_2": "Video 2 contains fluid motion of the facial muscles and head, qualifying it as a video.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "Video 1 is perfectly stable because it does not move.", "reason_2": "Video 2 suffers from significant distortion and warping of the facial features (nose and mouth) as the expression changes.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 is a clean, sharp 2D anime illustration.", "reason_2": "Video 2 has a 'muddy' texture and lower resolution appearance, with noticeable generation artifacts.", "score_1": 7, "score_2": 3}], "cat_reason": "Although Video 1 is cleaner, it fails the fundamental definition of a video by being static. Video 2 has motion, despite some morphological instability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Human Experience", "reason_1": "The static, blank-eyed expression in Video 1 feels unnatural and fails to convey the 'raw, human experience' requested.", "reason_2": "Video 2 effectively conveys a sense of sadness and emotional transition, creating a stronger empathetic connection.", "score_1": 2, "score_2": 8}, {"name": "Narrative Completeness", "reason_1": "Video 1 captures only a single frozen moment, missing the story of the 'cloud passing over a sunlit landscape'.", "reason_2": "Video 2 tells the complete micro-story of the emotional shift described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 adheres to the fixed camera and blurred background instruction.", "reason_2": "Video 2 also adheres to the fixed camera and blurred background instruction.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 captures the emotional weight and narrative flow required by the prompt, while Video 1 lacks narrative progression.", "cat_winner": "Video 2"}, {"name": "D. Facial Animation & Expressiveness", "dims": [{"name": "Micro-Expression Dynamics", "reason_1": "Video 1 lacks any micro-expressions; the face is frozen.", "reason_2": "Video 2 shows the subtle shifting of the mouth and eyes associated with crying, fulfilling the 'nuanced dance' requirement.", "score_1": 1, "score_2": 9}, {"name": "Tear Generation & Physics", "reason_1": "Video 1 uses stylized, static blue lines to represent tears, which is a symbolic rather than realistic representation.", "reason_2": "Video 2 generates actual liquid tears that roll down the face, adding to the realism of the sorrow.", "score_1": 2, "score_2": 8}, {"name": "Brow & Eye Articulation", "reason_1": "The brows and eyes in Video 1 are static drawings.", "reason_2": "Video 2 animates the furrowing of the brows and the widening of the eyes, directly addressing the prompt's specific anatomical instructions.", "score_1": 1, "score_2": 9}], "cat_reason": "This personalized category highlights the specific requirement for facial animation, where Video 2 excels and Video 1 fails.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully attempts the core requirement of the prompt: a dynamic transformation of facial expressions from joy to sorrow. While Video 2 suffers from some morphological instability (warping), it captures the narrative arc, the specific facial muscle movements (furrowing brows, glistening eyes), and the emotional shift. Video 1, conversely, is essentially a static image with no discernible motion or emotional progression, failing to depict the 'dance of emotions' or the 'swift transformation' requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 37.0, "total_score_2": 83.0, "elapsed_sec": 69.692} +{"pair_id": "052_seed_42", "sample_index": 52, "seed": 42, "prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_42_In a bustling city square two distinct groups conv.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_42_In a bustling city square two distinct groups conv.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_42_In a bustling city square two distinct groups conv.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_42_In a bustling city square two distinct groups conv.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Group Distinction & Attire Contrast\", \"reason_1\": \"Video 1 fails to separate the groups; the subjects are a homogenous mix of casual clothing with no clear 'vibrant' vs 'subdued' split.\", \"reason_2\": \"Video 2 clearly distinguishes two sides: a group on the left with bright blue/yellow flags and colorful jackets, and a group on the right with large orange flags and darker, more subdued clothing.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Prop Fidelity (Banners & Placards)\", \"reason_1\": \"Video 1 features flags, but they are generic and lack the 'vividly displaying contrasting viewpoints' aspect, appearing more like a festival.\", \"reason_2\": \"Video 2 generates large, distinct banners with bold symbols (a star, a logo) that effectively represent the 'contrasting viewpoints' requested.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Logic (Heated Exchange vs. Celebration)\", \"reason_1\": \"The subjects in Video 1 are dancing and waving flags in a celebratory manner, completely missing the 'heated exchange' and 'tension' required.\", \"reason_2\": \"Video 2 depicts a standoff with aggressive posturing and shouting, accurately capturing the 'charged atmosphere' and 'confrontation' described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Contextual Details (Onlookers & Phones)\", \"reason_1\": \"Video 1 includes background figures, but they are blurry and indistinct.\", \"reason_2\": \"Video 2 explicitly includes a foreground figure holding up a smartphone to record the event, directly satisfying the prompt's detail about onlookers capturing the moment.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 adheres strictly to the prompt's structural requirements, specifically the existence of two opposing groups with distinct visual identities and a confrontational interaction. Video 1 fails to establish the 'opposing' nature of the scene.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Bodies)\", \"reason_1\": \"Video 1 exhibits severe distortion; faces melt, limbs disappear, and bodies merge into one another during movement.\", \"reason_2\": \"Video 2 maintains consistent character forms and facial features throughout the clip, with minimal warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The movement in Video 1 is floaty and unnatural, with characters sliding across the ground rather than stepping.\", \"reason_2\": \"Video 2 shows characters with weight and proper foot placement, reacting realistically to the environment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Texture Resolution\", \"reason_1\": \"The image in Video 1 is soft and lacks definition, particularly in the background elements.\", \"reason_2\": \"Video 2 is sharper, with clearer textures on the clothing and flags.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates significantly higher stability and realism. Video 1 is plagued by severe AI artifacts, including melting faces and incoherent body structures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tension & Mood\", \"reason_1\": \"The mood in Video 1 is festive and confused, failing to evoke the 'palpable energy of the confrontation'.\", \"reason_2\": \"Video 2 successfully establishes a tense, dramatic mood through the body language of the subjects and the framing of the standoff.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a chaotic wide shot where subjects are scattered randomly.\", \"reason_2\": \"Video 2 uses a more cinematic composition, placing the two groups on opposing sides of the frame to emphasize their conflict.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"There is no clear narrative in Video 1; it appears to be a random generation of people moving.\", \"reason_2\": \"Video 2 tells a clear micro-story of two opposing factions meeting in a public square, aligning perfectly with the prompt's narrative arc.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 effectively frames the conflict, creating a sense of narrative tension. Video 1 lacks a coherent narrative focus and feels like a random, glitchy loop.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully visualizes the core narrative of a confrontation between two distinct groups, whereas Video 1 depicts a confused, celebratory gathering with severe technical flaws. Video 2 accurately renders the opposing ideologies through distinct attire and banners, maintains high morphological stability, and captures the requested tension. Video 1 suffers from significant hallucinations, melting faces, and fails to portray the 'heated exchange' or the specific group distinctions required by the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Group Distinction & Attire Contrast", "reason_1": "Video 1 fails to separate the groups; the subjects are a homogenous mix of casual clothing with no clear 'vibrant' vs 'subdued' split.", "reason_2": "Video 2 clearly distinguishes two sides: a group on the left with bright blue/yellow flags and colorful jackets, and a group on the right with large orange flags and darker, more subdued clothing.", "score_1": 2, "score_2": 8}, {"name": "Prop Fidelity (Banners & Placards)", "reason_1": "Video 1 features flags, but they are generic and lack the 'vividly displaying contrasting viewpoints' aspect, appearing more like a festival.", "reason_2": "Video 2 generates large, distinct banners with bold symbols (a star, a logo) that effectively represent the 'contrasting viewpoints' requested.", "score_1": 4, "score_2": 6}, {"name": "Action Logic (Heated Exchange vs. Celebration)", "reason_1": "The subjects in Video 1 are dancing and waving flags in a celebratory manner, completely missing the 'heated exchange' and 'tension' required.", "reason_2": "Video 2 depicts a standoff with aggressive posturing and shouting, accurately capturing the 'charged atmosphere' and 'confrontation' described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Contextual Details (Onlookers & Phones)", "reason_1": "Video 1 includes background figures, but they are blurry and indistinct.", "reason_2": "Video 2 explicitly includes a foreground figure holding up a smartphone to record the event, directly satisfying the prompt's detail about onlookers capturing the moment.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 adheres strictly to the prompt's structural requirements, specifically the existence of two opposing groups with distinct visual identities and a confrontational interaction. Video 1 fails to establish the 'opposing' nature of the scene.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Bodies)", "reason_1": "Video 1 exhibits severe distortion; faces melt, limbs disappear, and bodies merge into one another during movement.", "reason_2": "Video 2 maintains consistent character forms and facial features throughout the clip, with minimal warping.", "score_1": 1, "score_2": 9}, {"name": "Motion Physics & Grounding", "reason_1": "The movement in Video 1 is floaty and unnatural, with characters sliding across the ground rather than stepping.", "reason_2": "Video 2 shows characters with weight and proper foot placement, reacting realistically to the environment.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Texture Resolution", "reason_1": "The image in Video 1 is soft and lacks definition, particularly in the background elements.", "reason_2": "Video 2 is sharper, with clearer textures on the clothing and flags.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates significantly higher stability and realism. Video 1 is plagued by severe AI artifacts, including melting faces and incoherent body structures.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tension & Mood", "reason_1": "The mood in Video 1 is festive and confused, failing to evoke the 'palpable energy of the confrontation'.", "reason_2": "Video 2 successfully establishes a tense, dramatic mood through the body language of the subjects and the framing of the standoff.", "score_1": 2, "score_2": 8}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a chaotic wide shot where subjects are scattered randomly.", "reason_2": "Video 2 uses a more cinematic composition, placing the two groups on opposing sides of the frame to emphasize their conflict.", "score_1": 3, "score_2": 7}, {"name": "Narrative Coherence", "reason_1": "There is no clear narrative in Video 1; it appears to be a random generation of people moving.", "reason_2": "Video 2 tells a clear micro-story of two opposing factions meeting in a public square, aligning perfectly with the prompt's narrative arc.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 effectively frames the conflict, creating a sense of narrative tension. Video 1 lacks a coherent narrative focus and feels like a random, glitchy loop.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully visualizes the core narrative of a confrontation between two distinct groups, whereas Video 1 depicts a confused, celebratory gathering with severe technical flaws. Video 2 accurately renders the opposing ideologies through distinct attire and banners, maintains high morphological stability, and captures the requested tension. Video 1 suffers from significant hallucinations, melting faces, and fails to portray the 'heated exchange' or the specific group distinctions required by the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 77.0, "elapsed_sec": 64.825} +{"pair_id": "054_seed_930", "sample_index": 54, "seed": 930, "prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_054_seed_930_A charismatic public figure stands at a podium pas.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement & Scene Transition\", \"reason_1\": \"Video 1 is a static shot that fails to execute the requested shift to the audience or the panning motion.\", \"reason_2\": \"Video 2 successfully executes the camera shift from the speaker to the audience, fulfilling the narrative flow described in the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Audience Reaction Specificity\", \"reason_1\": \"Video 1 shows a generic crowd with no discernible specific reactions (tears, head shaking) due to the static framing.\", \"reason_2\": \"Video 2 clearly depicts the 'older man shaking his head' and the 'woman with arms crossed' (implying skepticism), aligning well with the specific reaction details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Speaker Attributes & Fervor\", \"reason_1\": \"Video 1 depicts a speaker with a mustache who looks angry rather than charismatic; the expression is static.\", \"reason_2\": \"Video 2 depicts a speaker with a dynamic, intense expression that aligns better with 'passionately delivering a speech'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 follows the prompt's structural instructions, including the camera shift and specific audience reactions, whereas Video 1 ignores the camera movement and specific character details.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Style\", \"reason_1\": \"Video 1 utilizes a flat, lower-resolution anime style which was not requested, resulting in a less immersive experience.\", \"reason_2\": \"Video 2 aims for photorealism with decent lighting and texture, creating a more convincing 'grand hall' atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Morphological Stability (Faces)\", \"reason_1\": \"Video 1 maintains consistent character shapes, largely because there is very little movement.\", \"reason_2\": \"Video 2 suffers from significant distortion and 'melting' of faces in the audience as the camera pans, a common AI artifact.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity & Dynamics\", \"reason_1\": \"Video 1 has almost no motion; it resembles a slideshow of similar frames.\", \"reason_2\": \"Video 2 features fluid camera movement and character animation, making it feel like a genuine video clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a photorealistic style with actual motion, whereas Video 1 is a low-frame-rate anime style with minimal movement. However, Video 2 suffers from some facial distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 uses a flat, 2D composition with no sense of depth or scale.\", \"reason_2\": \"Video 2 utilizes depth of field and perspective changes to create a sense of a large, grand hall.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 fails to tell a story; it is a single moment frozen in time.\", \"reason_2\": \"Video 2 captures the progression from the speaker's intensity to the crowd's divided reaction, fulfilling the narrative arc.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Emotional Atmosphere\", \"reason_1\": \"The static nature of Video 1 prevents any buildup of tension or emotional impact.\", \"reason_2\": \"The camera movement and lighting in Video 2 successfully evoke the 'palpable tension' and 'profound impact' requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully creates a cinematic narrative with depth and emotional progression, while Video 1 lacks cinematic qualities entirely.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it attempts to execute the complex narrative and camera movements described in the prompt. It successfully transitions from the speaker to the audience, capturing specific reactions like the skeptical man with crossed arms and the older man shaking his head. Video 1 is a static, anime-style clip that fails to perform the required camera pan or depict the specific audience reactions, remaining largely motionless throughout.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charismatic public figure stands at a podium, passionately delivering a speech that echoes through a grand hall, their voice resonating with conviction. The camera captures the speaker's intense expression, emphasizing their fervor. As the speech unfolds, the lens shifts to the audience, revealing a spectrum of reactions: some listeners nod in agreement, their faces lit with inspiration, while others frown, arms crossed, displaying skepticism. A young woman wipes away tears, moved by the words, while an older man shakes his head in disapproval. The camera pans across the room, highlighting the palpable tension and division among the crowd, underscoring the speech's profound impact.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement & Scene Transition", "reason_1": "Video 1 is a static shot that fails to execute the requested shift to the audience or the panning motion.", "reason_2": "Video 2 successfully executes the camera shift from the speaker to the audience, fulfilling the narrative flow described in the prompt.", "score_1": 1, "score_2": 9}, {"name": "Audience Reaction Specificity", "reason_1": "Video 1 shows a generic crowd with no discernible specific reactions (tears, head shaking) due to the static framing.", "reason_2": "Video 2 clearly depicts the 'older man shaking his head' and the 'woman with arms crossed' (implying skepticism), aligning well with the specific reaction details.", "score_1": 2, "score_2": 8}, {"name": "Speaker Attributes & Fervor", "reason_1": "Video 1 depicts a speaker with a mustache who looks angry rather than charismatic; the expression is static.", "reason_2": "Video 2 depicts a speaker with a dynamic, intense expression that aligns better with 'passionately delivering a speech'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 follows the prompt's structural instructions, including the camera shift and specific audience reactions, whereas Video 1 ignores the camera movement and specific character details.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Style", "reason_1": "Video 1 utilizes a flat, lower-resolution anime style which was not requested, resulting in a less immersive experience.", "reason_2": "Video 2 aims for photorealism with decent lighting and texture, creating a more convincing 'grand hall' atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Morphological Stability (Faces)", "reason_1": "Video 1 maintains consistent character shapes, largely because there is very little movement.", "reason_2": "Video 2 suffers from significant distortion and 'melting' of faces in the audience as the camera pans, a common AI artifact.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity & Dynamics", "reason_1": "Video 1 has almost no motion; it resembles a slideshow of similar frames.", "reason_2": "Video 2 features fluid camera movement and character animation, making it feel like a genuine video clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a photorealistic style with actual motion, whereas Video 1 is a low-frame-rate anime style with minimal movement. However, Video 2 suffers from some facial distortion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 uses a flat, 2D composition with no sense of depth or scale.", "reason_2": "Video 2 utilizes depth of field and perspective changes to create a sense of a large, grand hall.", "score_1": 2, "score_2": 8}, {"name": "Narrative Progression", "reason_1": "Video 1 fails to tell a story; it is a single moment frozen in time.", "reason_2": "Video 2 captures the progression from the speaker's intensity to the crowd's divided reaction, fulfilling the narrative arc.", "score_1": 1, "score_2": 9}, {"name": "Emotional Atmosphere", "reason_1": "The static nature of Video 1 prevents any buildup of tension or emotional impact.", "reason_2": "The camera movement and lighting in Video 2 successfully evoke the 'palpable tension' and 'profound impact' requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully creates a cinematic narrative with depth and emotional progression, while Video 1 lacks cinematic qualities entirely.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it attempts to execute the complex narrative and camera movements described in the prompt. It successfully transitions from the speaker to the audience, capturing specific reactions like the skeptical man with crossed arms and the older man shaking his head. Video 1 is a static, anime-style clip that fails to perform the required camera pan or depict the specific audience reactions, remaining largely motionless throughout.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 56.458} +{"pair_id": "057_seed_310", "sample_index": 57, "seed": 310, "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_310_In a vibrant park setting two distinct communities.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_310_In a vibrant park setting two distinct communities.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_310_In a vibrant park setting two distinct communities.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_310_In a vibrant park setting two distinct communities.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dual-Group Distinction (Traditional vs. Modern)\", \"reason_1\": \"Video 1 fails to separate the groups; the 'modern' dancers are dressed in bizarre, glitchy costumes that look like distorted versions of the traditional attire, lacking the requested 'sleek' look.\", \"reason_2\": \"Video 2 clearly distinguishes the groups: one side features drummers in colorful traditional headdresses, while the other features dancers in black leather/sleek outfits, perfectly matching the prompt's contrast.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Instrument & Prop Fidelity\", \"reason_1\": \"The drums and flutes in Video 1 are heavily distorted, often merging with the dancers' bodies or appearing as unrecognizable blobs.\", \"reason_2\": \"Video 2 renders the large drums and headdresses with high fidelity and distinct textures, making the cultural elements immediately recognizable.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Interaction & Mingling Logic\", \"reason_1\": \"The mingling in Video 1 appears as a chaotic collision of morphing figures rather than a social exchange.\", \"reason_2\": \"Video 2 depicts a more logical spatial arrangement where the two groups interact in a shared space, suggesting the requested mingling and exchange.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders the specific visual attributes of the two distinct groups (traditional vs. modern), whereas Video 1 fails to distinguish the 'modern' group, rendering them in confusing, glitchy attire.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Body Integrity)\", \"reason_1\": \"Video 1 exhibits severe 'melting' effects; faces and limbs constantly warp, disappear, or merge with the background.\", \"reason_2\": \"Video 2 maintains the structural integrity of the human figures much better, with limbs and faces remaining consistent throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image in Video 1 is soft, blurry, and lacks texture detail, resembling a low-resolution generation.\", \"reason_2\": \"Video 2 is crisp, with clear textures on the clothing and distinct separation between foreground and background.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement in Video 1 is jerky and unnatural, driven by the morphing of the subjects rather than actual dance physics.\", \"reason_2\": \"Video 2 displays smoother, more grounded motion that resembles actual human dancing.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, offering a sharp, stable image. Video 1 is plagued by severe artifacts, blurring, and constant morphological instability.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Contrast & Color Harmony\", \"reason_1\": \"Video 1 has a muddy color palette where the 'modern' and 'traditional' elements blend into a confused mess.\", \"reason_2\": \"Video 2 effectively uses color contrast (bright traditional reds/yellows vs. sleek black) to visually narrate the theme of cultural fusion.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is chaotic, often cutting off heads or losing focus on the main action.\", \"reason_2\": \"Video 2 uses a wider shot that successfully encompasses both groups, allowing the viewer to appreciate the contrast and interaction.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmosphere & Mood\", \"reason_1\": \"The mood in Video 1 is unintentionally eerie due to the facial distortions, failing to capture the 'joyful' and 'respectful' tone.\", \"reason_2\": \"Video 2 successfully conveys a vibrant, festive atmosphere consistent with a cultural exchange event.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the aesthetic of a cultural festival with vibrant colors and clear composition, whereas Video 1 is visually messy and confusing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in both semantic accuracy and technical quality. It successfully distinguishes the two required groups (traditional vs. modern) with clear visual cues (costumes and props), whereas Video 1 blends them into a chaotic, morphing mass. Video 2 also maintains much higher morphological stability and image sharpness, avoiding the severe distortions and 'melting' artifacts present in Video 1.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dual-Group Distinction (Traditional vs. Modern)", "reason_1": "Video 1 fails to separate the groups; the 'modern' dancers are dressed in bizarre, glitchy costumes that look like distorted versions of the traditional attire, lacking the requested 'sleek' look.", "reason_2": "Video 2 clearly distinguishes the groups: one side features drummers in colorful traditional headdresses, while the other features dancers in black leather/sleek outfits, perfectly matching the prompt's contrast.", "score_1": 2, "score_2": 8}, {"name": "Instrument & Prop Fidelity", "reason_1": "The drums and flutes in Video 1 are heavily distorted, often merging with the dancers' bodies or appearing as unrecognizable blobs.", "reason_2": "Video 2 renders the large drums and headdresses with high fidelity and distinct textures, making the cultural elements immediately recognizable.", "score_1": 3, "score_2": 7}, {"name": "Interaction & Mingling Logic", "reason_1": "The mingling in Video 1 appears as a chaotic collision of morphing figures rather than a social exchange.", "reason_2": "Video 2 depicts a more logical spatial arrangement where the two groups interact in a shared space, suggesting the requested mingling and exchange.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders the specific visual attributes of the two distinct groups (traditional vs. modern), whereas Video 1 fails to distinguish the 'modern' group, rendering them in confusing, glitchy attire.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Body Integrity)", "reason_1": "Video 1 exhibits severe 'melting' effects; faces and limbs constantly warp, disappear, or merge with the background.", "reason_2": "Video 2 maintains the structural integrity of the human figures much better, with limbs and faces remaining consistent throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image in Video 1 is soft, blurry, and lacks texture detail, resembling a low-resolution generation.", "reason_2": "Video 2 is crisp, with clear textures on the clothing and distinct separation between foreground and background.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "The movement in Video 1 is jerky and unnatural, driven by the morphing of the subjects rather than actual dance physics.", "reason_2": "Video 2 displays smoother, more grounded motion that resembles actual human dancing.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, offering a sharp, stable image. Video 1 is plagued by severe artifacts, blurring, and constant morphological instability.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Contrast & Color Harmony", "reason_1": "Video 1 has a muddy color palette where the 'modern' and 'traditional' elements blend into a confused mess.", "reason_2": "Video 2 effectively uses color contrast (bright traditional reds/yellows vs. sleek black) to visually narrate the theme of cultural fusion.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is chaotic, often cutting off heads or losing focus on the main action.", "reason_2": "Video 2 uses a wider shot that successfully encompasses both groups, allowing the viewer to appreciate the contrast and interaction.", "score_1": 4, "score_2": 6}, {"name": "Atmosphere & Mood", "reason_1": "The mood in Video 1 is unintentionally eerie due to the facial distortions, failing to capture the 'joyful' and 'respectful' tone.", "reason_2": "Video 2 successfully conveys a vibrant, festive atmosphere consistent with a cultural exchange event.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the aesthetic of a cultural festival with vibrant colors and clear composition, whereas Video 1 is visually messy and confusing.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in both semantic accuracy and technical quality. It successfully distinguishes the two required groups (traditional vs. modern) with clear visual cues (costumes and props), whereas Video 1 blends them into a chaotic, morphing mass. Video 2 also maintains much higher morphological stability and image sharpness, avoiding the severe distortions and 'melting' artifacts present in Video 1.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 61.132} +{"pair_id": "060_seed_42", "sample_index": 60, "seed": 42, "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_42_A young adult wearing a gray hoodie and jeans stan.mp4", "swapped": false, "success": true, "model_output": "The user wants me to compare two videos based on a complex, multi-scene prompt. I will evaluate them across three mandatory categories (Semantic Alignment, Video Quality, Narrative & Aesthetics) and one specialized category for the specific action requirements.\n\n**1. Semantic Alignment & Accuracy**\n* **Multi-Scene Transition Logic:** The prompt requires a sequence: Street -> Park -> Apartment -> Rooftop. Both videos struggle to show all four distinct locations clearly, but Video 1 transitions from a street scene to an interior room scene relatively smoothly. Video 2's transition is abrupt and confusing, seemingly jumping between disconnected clips.\n* **Subject Attribute Consistency:** The prompt specifies a \"young adult, wearing a gray hoodie and jeans.\" Video 1 maintains this look consistently. Video 2 starts with the hoodie but the subject morphs into a different person (long hair, different face) in the final shots.\n* **Action Specificity (Tapping vs. Standing):** The prompt asks for specific actions: walking, sitting on a bench, tapping on a laptop, standing on a rooftop. Video 1 depicts the subject standing near a laptop (though not typing). Video 2 shows a laptop but the subject is not interacting with it; instead, a different character is typing. Both fail the specific action prompts, but Video 1's failure is less jarring than Video 2's hallucination of a new actor.\n\n**2. Video Quality & Dynamic Realism**\n* **Subject Identity Persistence:** This is the deciding factor. Video 1 keeps the protagonist's face and build consistent throughout the clip. Video 2 fails completely, changing the protagonist's identity and gender presentation in the final segment.\n* **Morphological Stability:** Video 1 has some background warping but the main subject is solid. Video 2 exhibits severe morphing, particularly in the final scene where the character's face and hair distort unnaturally.\n* **Visual Fidelity & Lighting:** Video 1 maintains a consistent, albeit slightly stylized, lighting scheme that fits the \"dimly lit/neon\" description. Video 2 has inconsistent lighting and lower perceived resolution in the latter half.\n\n**3. Narrative, Aesthetics & Cinematography**\n* **Atmospheric Tone:** The prompt calls for a mood of \"determination and vulnerability\" with \"neon lights.\" Video 1 captures this urban, slightly melancholic vibe effectively. Video 2 feels disjointed and lacks a cohesive mood.\n* **Cinematic Continuity:** Video 1 feels like a single continuous shot or a well-edited sequence. Video 2 feels like a montage of unrelated generations stitched together.\n* **Composition & Framing:** Video 1 keeps the subject well-framed in the center, allowing the viewer to connect with their expression. Video 2's framing becomes erratic, especially in the final rooftop scene.\n\n**4. Character Consistency & Integrity**\n* This personalized category is necessary because the prompt focuses heavily on a specific character's emotional journey.\n* Video 1 maintains the character's visual identity, allowing the viewer to project the requested emotions (determination, vulnerability) onto the same face.\n* Video 2 breaks the narrative illusion entirely by swapping the protagonist for a different character in the final scene, making the emotional arc impossible to follow.\n\n**Conclusion:**\nVideo 1 is the clear winner. While both videos fail to perfectly execute the complex chain of four distinct locations and specific actions (like typing or sitting on a bench), Video 1 maintains a consistent character identity and a coherent visual style. Video 2 suffers from a catastrophic failure in subject persistence, changing the protagonist entirely in the final scene, and lacks the narrative flow required by the prompt.\n\n```json\n{\n \"prompt\": \"[A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.]\",\n \"categories\": [\n \"A. Semantic Alignment & Accuracy\",\n \"B. Video Quality & Dynamic Realism\",\n \"C. Narrative, Aesthetics & Cinematography\",\n \"D. Character Consistency & Integrity\"\n ],\n \"reason\": \"Video 1 demonstrates superior stability in subject identity and a more coherent attempt at the multi-scene narrative structure. While both videos struggle with the specific action instructions (e.g., neither subject actually types on the laptop), Video 1 maintains the protagonist's appearance throughout the clip. Video 2 fails critically in the final segment, hallucinating a completely different character with different features, breaking the narrative continuity entirely.\",\n \"winner\": \"Video 1\"\n}\n```", "parsed_output": {"prompt": "[A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.]", "categories": ["A. Semantic Alignment & Accuracy", "B. Video Quality & Dynamic Realism", "C. Narrative, Aesthetics & Cinematography", "D. Character Consistency & Integrity"], "reason": "Video 1 demonstrates superior stability in subject identity and a more coherent attempt at the multi-scene narrative structure. While both videos struggle with the specific action instructions (e.g., neither subject actually types on the laptop), Video 1 maintains the protagonist's appearance throughout the clip. Video 2 fails critically in the final segment, hallucinating a completely different character with different features, breaking the narrative continuity entirely.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": null, "total_score_2": null, "elapsed_sec": 53.821} +{"pair_id": "062_seed_930", "sample_index": 62, "seed": 930, "prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_062_seed_930_In a bustling office a group of female employees d.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Spatial Logic\", \"reason_1\": \"Video 1 clearly distinguishes between the group of women and the male colleagues, placing them in a way that suggests the requested narrative dynamic.\", \"reason_2\": \"Video 2 presents a generic, cluttered meeting arrangement where the distinction between the 'female group' and 'male colleagues' is lost in a chaotic mix of subjects.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression Fidelity (Frustration/Determination)\", \"reason_1\": \"The subjects in Video 1 display readable expressions of concern and seriousness, aligning well with the prompt's request for frustration and determination.\", \"reason_2\": \"The expressions in Video 2 are heavily distorted and grotesque due to low-quality generation, making it impossible to read any intended human emotion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Modern Office)\", \"reason_1\": \"Video 1 depicts a clean, modern office with glass partitions and professional lighting, fitting the 'modern decor' description.\", \"reason_2\": \"Video 2 shows a generic room with windows, but the lighting is flat and the environment lacks the polished 'modern' aesthetic requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately establishes the specific group dynamics and emotional context requested, whereas Video 2 fails to convey the required expressions due to generation errors.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"Video 1 maintains consistent, realistic facial features for all characters throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'melting face' artifacts; eyes are misaligned, features slide off faces, and identities are completely unstable.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with good texture details on clothing and skin.\", \"reason_2\": \"The video is blurry, low-resolution, and lacks texture definition, resembling a low-quality early AI generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects and people maintain their solid forms during movement.\", \"reason_2\": \"Subjects in Video 2 warp and morph unnaturally as the camera moves, breaking physical plausibility.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This is the deciding category. Video 1 is high-definition and stable, while Video 2 exhibits catastrophic failure in facial rendering and temporal coherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a professional angle that captures the group dynamic effectively, with depth of field that separates subjects from the background.\", \"reason_2\": \"Video 2 uses a flat, uninspired angle that feels cluttered and lacks cinematic depth.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Mood (Tension/Solidarity)\", \"reason_1\": \"The lighting and acting in Video 1 successfully evoke the 'poignant narrative' and tension described in the prompt.\", \"reason_2\": \"The mood in Video 2 is unintentionally horrific due to the facial distortions, completely failing to convey the intended narrative of gender bias.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is smooth and intentional, adding to the scene's realism.\", \"reason_2\": \"The camera motion is jittery and contributes to the warping of the subjects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 employs cinematic lighting and composition to tell the story, while Video 2 lacks aesthetic direction.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in technical execution, narrative clarity, and visual fidelity. It successfully renders a coherent office environment with distinct character groups and readable facial expressions that match the prompt's emotional requirements. Video 2 suffers from severe morphological instability, with significant facial distortion and low resolution that renders the narrative unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office, a group of female employees, dressed in professional attire, gather around a conference table, their expressions a mix of determination and frustration. Nearby, male colleagues, in similar business wear, engage in animated discussions, their voices dominating the room. The camera zooms in on a conversation between a female employee and her manager, where subtle dismissals and patronizing tones reveal underlying gender biases. As the scene unfolds, the women exchange knowing glances, their body language conveying solidarity and resilience. The office environment, with its modern decor and open-plan layout, serves as a backdrop to this poignant narrative of gender disparity in career advancement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Spatial Logic", "reason_1": "Video 1 clearly distinguishes between the group of women and the male colleagues, placing them in a way that suggests the requested narrative dynamic.", "reason_2": "Video 2 presents a generic, cluttered meeting arrangement where the distinction between the 'female group' and 'male colleagues' is lost in a chaotic mix of subjects.", "score_1": 8, "score_2": 2}, {"name": "Expression Fidelity (Frustration/Determination)", "reason_1": "The subjects in Video 1 display readable expressions of concern and seriousness, aligning well with the prompt's request for frustration and determination.", "reason_2": "The expressions in Video 2 are heavily distorted and grotesque due to low-quality generation, making it impossible to read any intended human emotion.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Modern Office)", "reason_1": "Video 1 depicts a clean, modern office with glass partitions and professional lighting, fitting the 'modern decor' description.", "reason_2": "Video 2 shows a generic room with windows, but the lighting is flat and the environment lacks the polished 'modern' aesthetic requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately establishes the specific group dynamics and emotional context requested, whereas Video 2 fails to convey the required expressions due to generation errors.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "Video 1 maintains consistent, realistic facial features for all characters throughout the clip.", "reason_2": "Video 2 suffers from severe 'melting face' artifacts; eyes are misaligned, features slide off faces, and identities are completely unstable.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with good texture details on clothing and skin.", "reason_2": "The video is blurry, low-resolution, and lacks texture definition, resembling a low-quality early AI generation.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Objects and people maintain their solid forms during movement.", "reason_2": "Subjects in Video 2 warp and morph unnaturally as the camera moves, breaking physical plausibility.", "score_1": 9, "score_2": 1}], "cat_reason": "This is the deciding category. Video 1 is high-definition and stable, while Video 2 exhibits catastrophic failure in facial rendering and temporal coherence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a professional angle that captures the group dynamic effectively, with depth of field that separates subjects from the background.", "reason_2": "Video 2 uses a flat, uninspired angle that feels cluttered and lacks cinematic depth.", "score_1": 8, "score_2": 2}, {"name": "Narrative Mood (Tension/Solidarity)", "reason_1": "The lighting and acting in Video 1 successfully evoke the 'poignant narrative' and tension described in the prompt.", "reason_2": "The mood in Video 2 is unintentionally horrific due to the facial distortions, completely failing to convey the intended narrative of gender bias.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is smooth and intentional, adding to the scene's realism.", "reason_2": "The camera motion is jittery and contributes to the warping of the subjects.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 employs cinematic lighting and composition to tell the story, while Video 2 lacks aesthetic direction.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in technical execution, narrative clarity, and visual fidelity. It successfully renders a coherent office environment with distinct character groups and readable facial expressions that match the prompt's emotional requirements. Video 2 suffers from severe morphological instability, with significant facial distortion and low resolution that renders the narrative unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 55.309} +{"pair_id": "065_seed_310", "sample_index": 65, "seed": 310, "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_310_A news anchor dressed in a crisp suit sits at a sl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_310_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_310_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_310_A news anchor dressed in a crisp suit sits at a sl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \\\"Alien Invasion Imminent?\\\" and \\\"World on Alert!\\\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Specific Text Rendering (Headlines)\", \"reason_1\": \"Video 1 perfectly renders the requested text 'Alien Invasion Imminent?' and 'World on Alert!' on the studio screen with high legibility.\", \"reason_2\": \"Video 2 displays a generic UFO graphic with no legible text matching the specific prompt requirements.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Narrative Sequence & Scene Transitions\", \"reason_1\": \"Video 1 follows the prompt's sequence: Anchor -> Command Center -> Public Reaction -> Newspaper Montage, utilizing clear cuts.\", \"reason_2\": \"Video 2 attempts a continuous shot that morphs illogically between scenes, failing to distinctively show the command center or the specific newspaper montage conclusion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject & Environment Detail\", \"reason_1\": \"Video 1 clearly depicts the anchor, the high-tech command center with maps, and the crowd with smartphones.\", \"reason_2\": \"Video 2's depiction of the command center and crowd is extremely blurry and lacks distinct details like maps or smartphones.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific text strings requested and follows the multi-scene narrative structure. Video 2 fails to generate the text and struggles to distinguish the different scenes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video maintains a broadcast-quality sharpness with clear textures on the suit and studio set.\", \"reason_2\": \"The video is heavily blurred, resembling a low-resolution upscale with significant loss of detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Subjects maintain their form and identity throughout the clip.\", \"reason_2\": \"The video suffers from severe morphing, where the anchor and the background melt into one another during transitions.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Coherence\", \"reason_1\": \"Motion is limited but realistic for a news broadcast format.\", \"reason_2\": \"The camera motion is erratic and the movement of subjects is unnatural and fluid-like.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 is plagued by blurriness, low resolution, and severe temporal morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Broadcast News Aesthetic\", \"reason_1\": \"The framing, lighting, and graphic overlays perfectly mimic a professional news broadcast.\", \"reason_2\": \"The visual style is incoherent and lacks the polished look of a news studio.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Subjects are well-framed, and the background screens are integrated logically into the set design.\", \"reason_2\": \"The framing is awkward, often cutting off subjects or blending the foreground and background indistinguishably.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The story progression is easy to follow due to distinct scene changes.\", \"reason_2\": \"The narrative is lost in visual noise and confusing transitions.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully captures the aesthetic of a professional news broadcast with appropriate framing and editing. Video 2 lacks aesthetic coherence.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior semantic understanding by accurately rendering the specific text headlines requested in the prompt and executing the narrative sequence through distinct scene cuts. Video 2 suffers from severe visual degradation, fails to render the required text, and relies on incoherent morphing rather than logical scene transitions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Specific Text Rendering (Headlines)", "reason_1": "Video 1 perfectly renders the requested text 'Alien Invasion Imminent?' and 'World on Alert!' on the studio screen with high legibility.", "reason_2": "Video 2 displays a generic UFO graphic with no legible text matching the specific prompt requirements.", "score_1": 10, "score_2": 0}, {"name": "Narrative Sequence & Scene Transitions", "reason_1": "Video 1 follows the prompt's sequence: Anchor -> Command Center -> Public Reaction -> Newspaper Montage, utilizing clear cuts.", "reason_2": "Video 2 attempts a continuous shot that morphs illogically between scenes, failing to distinctively show the command center or the specific newspaper montage conclusion.", "score_1": 9, "score_2": 1}, {"name": "Subject & Environment Detail", "reason_1": "Video 1 clearly depicts the anchor, the high-tech command center with maps, and the crowd with smartphones.", "reason_2": "Video 2's depiction of the command center and crowd is extremely blurry and lacks distinct details like maps or smartphones.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific text strings requested and follows the multi-scene narrative structure. Video 2 fails to generate the text and struggles to distinguish the different scenes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video maintains a broadcast-quality sharpness with clear textures on the suit and studio set.", "reason_2": "The video is heavily blurred, resembling a low-resolution upscale with significant loss of detail.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Subjects maintain their form and identity throughout the clip.", "reason_2": "The video suffers from severe morphing, where the anchor and the background melt into one another during transitions.", "score_1": 9, "score_2": 1}, {"name": "Motion Coherence", "reason_1": "Motion is limited but realistic for a news broadcast format.", "reason_2": "The camera motion is erratic and the movement of subjects is unnatural and fluid-like.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 is plagued by blurriness, low resolution, and severe temporal morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Broadcast News Aesthetic", "reason_1": "The framing, lighting, and graphic overlays perfectly mimic a professional news broadcast.", "reason_2": "The visual style is incoherent and lacks the polished look of a news studio.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Subjects are well-framed, and the background screens are integrated logically into the set design.", "reason_2": "The framing is awkward, often cutting off subjects or blending the foreground and background indistinguishably.", "score_1": 8, "score_2": 2}, {"name": "Narrative Clarity", "reason_1": "The story progression is easy to follow due to distinct scene changes.", "reason_2": "The narrative is lost in visual noise and confusing transitions.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully captures the aesthetic of a professional news broadcast with appropriate framing and editing. Video 2 lacks aesthetic coherence.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior semantic understanding by accurately rendering the specific text headlines requested in the prompt and executing the narrative sequence through distinct scene cuts. Video 2 suffers from severe visual degradation, fails to render the required text, and relies on incoherent morphing rather than logical scene transitions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 79.0, "total_score_2": 11.0, "elapsed_sec": 52.022} +{"pair_id": "068_seed_42", "sample_index": 68, "seed": 42, "prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_42_In a bustling metropolis the camera captures the h.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_42_In a bustling metropolis the camera captures the h.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_42_In a bustling metropolis the camera captures the h.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_42_In a bustling metropolis the camera captures the h.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition & Role Clarity\", \"reason_1\": \"Video 1 clearly distinguishes between the soldier in the foreground and the opposing forces in the background, maintaining their structural integrity.\", \"reason_2\": \"Video 2 fails to define the subjects; the 'rebels' and 'soldiers' are amorphous blobs that merge into the environment and lack distinct human anatomy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Smoke & Fire)\", \"reason_1\": \"Video 1 accurately renders the 'dark haze' and smoke billowing from the background, creating a convincing war-torn atmosphere.\", \"reason_2\": \"Video 2 attempts to show fire, but the smoke and lighting effects are inconsistent and blend poorly with the melting geometry of the buildings.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Logic (Clashes & Movement)\", \"reason_1\": \"The movement in Video 1 implies a tactical engagement with logical positioning and aiming.\", \"reason_2\": \"The movement in Video 2 is nonsensical; figures slide and morph rather than walk or fight, breaking all semantic logic of a 'clash'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully establishes the chaotic battlefield environment with distinct factions and atmospheric smoke. Video 2 fails to render distinct subjects, resulting in a confused visual where rebels and soldiers are indistinguishable from the melting background.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The subjects in Video 1 maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' artifacts; the soldier's face and body distort grotesquely, and background figures lose their form entirely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Detail\", \"reason_1\": \"Textures on the uniforms and rubble are sharp and realistic, resembling high-quality footage.\", \"reason_2\": \"The image is blurry and muddy, with textures that look like smeared paint rather than realistic materials.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and grounded, respecting the weight of the soldiers and the environment.\", \"reason_2\": \"Motion is jerky and unnatural, with characters appearing to float or glitch through the terrain.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is stable and clear, while Video 2 is plagued by severe artifacts, warping, and a complete lack of temporal consistency.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses a strong over-the-shoulder perspective that immerses the viewer in the action, effectively framing the chaos ahead.\", \"reason_2\": \"Video 2 has a confused composition where the focal point is unclear and the framing is ruined by the distortion of the subject.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Tension & Chaos)\", \"reason_1\": \"The color grading and haze in Video 1 successfully evoke the 'palpable tension' and 'turmoil' described in the prompt.\", \"reason_2\": \"The bright, washed-out colors and glitchy visuals in Video 2 fail to convey any serious mood or tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Legibility\", \"reason_1\": \"The scene is immediately readable as a combat scenario in a ruined city.\", \"reason_2\": \"It is difficult to discern what is happening in Video 2 due to the visual noise and lack of object permanence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 employs a cinematic 'over-the-shoulder' perspective that effectively conveys the tension of the prompt. Video 2 lacks aesthetic coherence due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates superior generation quality with high temporal stability, realistic textures, and coherent subject motion. It successfully depicts a chaotic battlefield with clear distinction between the soldier and the environment. In contrast, Video 2 suffers from severe morphological instability, where subjects and background elements melt and distort significantly, failing to maintain basic visual integrity or narrative clarity.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition & Role Clarity", "reason_1": "Video 1 clearly distinguishes between the soldier in the foreground and the opposing forces in the background, maintaining their structural integrity.", "reason_2": "Video 2 fails to define the subjects; the 'rebels' and 'soldiers' are amorphous blobs that merge into the environment and lack distinct human anatomy.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Smoke & Fire)", "reason_1": "Video 1 accurately renders the 'dark haze' and smoke billowing from the background, creating a convincing war-torn atmosphere.", "reason_2": "Video 2 attempts to show fire, but the smoke and lighting effects are inconsistent and blend poorly with the melting geometry of the buildings.", "score_1": 8, "score_2": 2}, {"name": "Action Logic (Clashes & Movement)", "reason_1": "The movement in Video 1 implies a tactical engagement with logical positioning and aiming.", "reason_2": "The movement in Video 2 is nonsensical; figures slide and morph rather than walk or fight, breaking all semantic logic of a 'clash'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully establishes the chaotic battlefield environment with distinct factions and atmospheric smoke. Video 2 fails to render distinct subjects, resulting in a confused visual where rebels and soldiers are indistinguishable from the melting background.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The subjects in Video 1 maintain their shape and volume consistently throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' artifacts; the soldier's face and body distort grotesquely, and background figures lose their form entirely.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Detail", "reason_1": "Textures on the uniforms and rubble are sharp and realistic, resembling high-quality footage.", "reason_2": "The image is blurry and muddy, with textures that look like smeared paint rather than realistic materials.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and grounded, respecting the weight of the soldiers and the environment.", "reason_2": "Motion is jerky and unnatural, with characters appearing to float or glitch through the terrain.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 is stable and clear, while Video 2 is plagued by severe artifacts, warping, and a complete lack of temporal consistency.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses a strong over-the-shoulder perspective that immerses the viewer in the action, effectively framing the chaos ahead.", "reason_2": "Video 2 has a confused composition where the focal point is unclear and the framing is ruined by the distortion of the subject.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Tension & Chaos)", "reason_1": "The color grading and haze in Video 1 successfully evoke the 'palpable tension' and 'turmoil' described in the prompt.", "reason_2": "The bright, washed-out colors and glitchy visuals in Video 2 fail to convey any serious mood or tension.", "score_1": 9, "score_2": 1}, {"name": "Narrative Legibility", "reason_1": "The scene is immediately readable as a combat scenario in a ruined city.", "reason_2": "It is difficult to discern what is happening in Video 2 due to the visual noise and lack of object permanence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 employs a cinematic 'over-the-shoulder' perspective that effectively conveys the tension of the prompt. Video 2 lacks aesthetic coherence due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates superior generation quality with high temporal stability, realistic textures, and coherent subject motion. It successfully depicts a chaotic battlefield with clear distinction between the soldier and the environment. In contrast, Video 2 suffers from severe morphological instability, where subjects and background elements melt and distort significantly, failing to maintain basic visual integrity or narrative clarity.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 61.225} +{"pair_id": "070_seed_930", "sample_index": 70, "seed": 930, "prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_070_seed_930_In a bustling public square two opposing groups fa.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Specificity (Man & Woman)\", \"reason_1\": \"Video 1 clearly features a young man with dark hair and a woman with brown hair in the foreground, matching the prompt's description of the key actors.\", \"reason_2\": \"Video 2 presents a generic, morphing crowd where the specific 'young man' and 'woman' are indistinguishable from the background noise and lack distinct identities.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Emotional Expression Fidelity\", \"reason_1\": \"The characters in Video 1 display readable expressions of shouting and determination, aligning well with the 'eyes ablaze' and 'passionate' descriptors.\", \"reason_2\": \"The faces in Video 2 are heavily distorted and grotesque, conveying horror or confusion rather than the intended narrative emotions of determination and resolve.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Banners & Square)\", \"reason_1\": \"Video 1 depicts a clear public square setting with distinct banners held by the crowd, creating the requested 'sea of contrasting colors'.\", \"reason_2\": \"Video 2 suggests a crowd with flags, but the background is abstract and unstable, lacking the clear definition of a 'public square'.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately identifies and renders the specific protagonists described in the prompt, whereas Video 2 generates a generic, chaotic crowd without distinct focal characters.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Body)\", \"reason_1\": \"The characters in Video 1 maintain their structural integrity and facial features throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; faces warp, eyes disappear, and heads change shape randomly, breaking all immersion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Clarity & Line Consistency\", \"reason_1\": \"The lines and colors in Video 1 are crisp and consistent, resembling a standard anime production.\", \"reason_2\": \"Video 2 is blurry and noisy, with lines that jitter and disconnect, resulting in a low-fidelity visual experience.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The movement in Video 1, while limited, is logical and follows the characters' actions (shouting, holding signs).\", \"reason_2\": \"The motion in Video 2 is driven by morphing artifacts rather than physical movement, creating a surreal and disjointed effect.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains a stable anime aesthetic with consistent character forms. Video 2 fails significantly in this category due to extreme warping and loss of subject identity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Focal Point\", \"reason_1\": \"Video 1 effectively frames the two main characters in the foreground, guiding the viewer's eye to the 'conflict' as requested.\", \"reason_2\": \"Video 2 lacks a clear focal point; the composition is cluttered and chaotic, making it difficult to know where to look.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Legibility\", \"reason_1\": \"The scene in Video 1 is immediately readable as a protest or confrontation between specific individuals.\", \"reason_2\": \"Video 2 is visually confusing; without the prompt, it would be difficult to discern that this is a specific narrative scene rather than random noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Style Consistency\", \"reason_1\": \"Video 1 adheres to a consistent 2D anime art style.\", \"reason_2\": \"Video 2 fluctuates between different levels of abstraction and distortion, failing to maintain a unified artistic style.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully frames the narrative conflict between the two main characters, whereas Video 2 is a chaotic visual mess with no clear narrative focus.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully renders the specific characters (the young man and the woman) and their distinct emotional expressions within a coherent anime style. It maintains structural integrity and visual clarity throughout. In contrast, Video 2 suffers from severe morphological instability, where faces and bodies melt and distort uncontrollably, failing to depict the specific narrative elements or maintain a consistent visual reality.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two opposing groups face off, their banners and signs clashing in a sea of contrasting colors and messages. The camera captures the tension as voices rise, fists clench, and emotions boil over. A young man, eyes ablaze with determination, shouts passionately, his words lost in the cacophony. Nearby, a woman clutches a sign tightly, her face a mix of fear and resolve. Suddenly, chaos erupts as the groups surge towards each other, the camera zooming in on the raw intensity of the confrontation. Shouts turn to cries, and the air fills with the sound of scuffling feet and clashing ideologies, painting a vivid picture of conflict and fervor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Specificity (Man & Woman)", "reason_1": "Video 1 clearly features a young man with dark hair and a woman with brown hair in the foreground, matching the prompt's description of the key actors.", "reason_2": "Video 2 presents a generic, morphing crowd where the specific 'young man' and 'woman' are indistinguishable from the background noise and lack distinct identities.", "score_1": 9, "score_2": 1}, {"name": "Emotional Expression Fidelity", "reason_1": "The characters in Video 1 display readable expressions of shouting and determination, aligning well with the 'eyes ablaze' and 'passionate' descriptors.", "reason_2": "The faces in Video 2 are heavily distorted and grotesque, conveying horror or confusion rather than the intended narrative emotions of determination and resolve.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Banners & Square)", "reason_1": "Video 1 depicts a clear public square setting with distinct banners held by the crowd, creating the requested 'sea of contrasting colors'.", "reason_2": "Video 2 suggests a crowd with flags, but the background is abstract and unstable, lacking the clear definition of a 'public square'.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately identifies and renders the specific protagonists described in the prompt, whereas Video 2 generates a generic, chaotic crowd without distinct focal characters.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Body)", "reason_1": "The characters in Video 1 maintain their structural integrity and facial features throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; faces warp, eyes disappear, and heads change shape randomly, breaking all immersion.", "score_1": 9, "score_2": 1}, {"name": "Visual Clarity & Line Consistency", "reason_1": "The lines and colors in Video 1 are crisp and consistent, resembling a standard anime production.", "reason_2": "Video 2 is blurry and noisy, with lines that jitter and disconnect, resulting in a low-fidelity visual experience.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence", "reason_1": "The movement in Video 1, while limited, is logical and follows the characters' actions (shouting, holding signs).", "reason_2": "The motion in Video 2 is driven by morphing artifacts rather than physical movement, creating a surreal and disjointed effect.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains a stable anime aesthetic with consistent character forms. Video 2 fails significantly in this category due to extreme warping and loss of subject identity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Focal Point", "reason_1": "Video 1 effectively frames the two main characters in the foreground, guiding the viewer's eye to the 'conflict' as requested.", "reason_2": "Video 2 lacks a clear focal point; the composition is cluttered and chaotic, making it difficult to know where to look.", "score_1": 8, "score_2": 2}, {"name": "Narrative Legibility", "reason_1": "The scene in Video 1 is immediately readable as a protest or confrontation between specific individuals.", "reason_2": "Video 2 is visually confusing; without the prompt, it would be difficult to discern that this is a specific narrative scene rather than random noise.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Style Consistency", "reason_1": "Video 1 adheres to a consistent 2D anime art style.", "reason_2": "Video 2 fluctuates between different levels of abstraction and distortion, failing to maintain a unified artistic style.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully frames the narrative conflict between the two main characters, whereas Video 2 is a chaotic visual mess with no clear narrative focus.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully renders the specific characters (the young man and the woman) and their distinct emotional expressions within a coherent anime style. It maintains structural integrity and visual clarity throughout. In contrast, Video 2 suffers from severe morphological instability, where faces and bodies melt and distort uncontrollably, failing to depict the specific narrative elements or maintain a consistent visual reality.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 60.817} +{"pair_id": "073_seed_310", "sample_index": 73, "seed": 310, "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_310_A lone cowboy clad in a weathered hat and rugged a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_310_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_310_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_310_A lone cowboy clad in a weathered hat and rugged a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Stylistic Constraint: Silhouette & Contrast\", \"reason_1\": \"Video 1 completely ignores the instruction for 'silhouettes etched against the horizon,' presenting a fully lit, standard side-profile shot.\", \"reason_2\": \"Video 2 perfectly executes the prompt's request for silhouettes, creating the specific high-contrast look described.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Palette: Sky Colors\", \"reason_1\": \"Video 1 features a generic golden/yellow sunset, missing the specific 'vibrant oranges and pinks' requested.\", \"reason_2\": \"Video 2 accurately renders the sky with the requested gradient of vibrant oranges and pinks.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Attribute Visibility\", \"reason_1\": \"Video 1 clearly displays the 'weathered hat' and 'rugged attire' details as requested.\", \"reason_2\": \"Due to the silhouette style (which was requested, but conflicts with this specific dimension), the specific details of the attire are obscured in shadow.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Background Elements: Mountains & Plains\", \"reason_1\": \"Video 1 depicts the mountains and plains with high detail and depth.\", \"reason_2\": \"Video 2 includes the mountains and plains, but they are somewhat flatter and less detailed than Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 followed the critical stylistic instructions regarding lighting and color, whereas Video 1 ignored the 'silhouette' and 'pink/orange sky' requirements.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"Video 1 is sharp, with high-quality textures on the horse's coat and the grass.\", \"reason_2\": \"Video 2 appears softer, with lower resolution and less definition in the foreground elements.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The horse's movement in Video 1 feels weighty and grounded, with realistic leg articulation.\", \"reason_2\": \"The motion in Video 2 feels slightly 'floaty,' and the horse's connection to the ground is less convincing.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Temporal Stability\", \"reason_1\": \"Video 1 maintains consistent subject form throughout the clip.\", \"reason_2\": \"Video 2 is mostly stable, but the silhouette edges exhibit minor shimmering/aliasing artifacts.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates significantly higher visual fidelity, sharper textures, and more realistic motion physics compared to the softer, slightly floaty look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood: Tranquility\", \"reason_1\": \"The bright, standard lighting of Video 1 feels more like a documentary clip than a tranquil, atmospheric scene.\", \"reason_2\": \"The silhouette against the colorful sky in Video 2 effectively evokes the requested sense of freedom and tranquility.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a standard tracking shot composition.\", \"reason_2\": \"Video 2 utilizes the backlighting to create a more dramatic and artistically composed image.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"The color grading in Video 1 is monochromatic (mostly yellow/brown).\", \"reason_2\": \"Video 2 displays a pleasing and accurate color harmony between the pink/orange sky and the dark foreground.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the 'breathtaking' and 'tranquil' mood much better through its artistic use of backlighting and color, aligning with the prompt's emotional intent.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it strictly adheres to the specific stylistic constraints of the prompt, particularly the requirement for 'silhouettes etched against the horizon' and the 'vibrant oranges and pinks' in the sky. While Video 1 offers superior texture resolution and definition of the cowboy's attire, it completely fails to render the requested silhouette effect, resulting in a standard, fully-lit shot that misses the prompt's intended atmospheric contrast.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Stylistic Constraint: Silhouette & Contrast", "reason_1": "Video 1 completely ignores the instruction for 'silhouettes etched against the horizon,' presenting a fully lit, standard side-profile shot.", "reason_2": "Video 2 perfectly executes the prompt's request for silhouettes, creating the specific high-contrast look described.", "score_1": 1, "score_2": 9}, {"name": "Environmental Palette: Sky Colors", "reason_1": "Video 1 features a generic golden/yellow sunset, missing the specific 'vibrant oranges and pinks' requested.", "reason_2": "Video 2 accurately renders the sky with the requested gradient of vibrant oranges and pinks.", "score_1": 3, "score_2": 7}, {"name": "Subject Attribute Visibility", "reason_1": "Video 1 clearly displays the 'weathered hat' and 'rugged attire' details as requested.", "reason_2": "Due to the silhouette style (which was requested, but conflicts with this specific dimension), the specific details of the attire are obscured in shadow.", "score_1": 8, "score_2": 2}, {"name": "Background Elements: Mountains & Plains", "reason_1": "Video 1 depicts the mountains and plains with high detail and depth.", "reason_2": "Video 2 includes the mountains and plains, but they are somewhat flatter and less detailed than Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 followed the critical stylistic instructions regarding lighting and color, whereas Video 1 ignored the 'silhouette' and 'pink/orange sky' requirements.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "Video 1 is sharp, with high-quality textures on the horse's coat and the grass.", "reason_2": "Video 2 appears softer, with lower resolution and less definition in the foreground elements.", "score_1": 8, "score_2": 2}, {"name": "Motion Physics & Grounding", "reason_1": "The horse's movement in Video 1 feels weighty and grounded, with realistic leg articulation.", "reason_2": "The motion in Video 2 feels slightly 'floaty,' and the horse's connection to the ground is less convincing.", "score_1": 7, "score_2": 3}, {"name": "Temporal Stability", "reason_1": "Video 1 maintains consistent subject form throughout the clip.", "reason_2": "Video 2 is mostly stable, but the silhouette edges exhibit minor shimmering/aliasing artifacts.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates significantly higher visual fidelity, sharper textures, and more realistic motion physics compared to the softer, slightly floaty look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood: Tranquility", "reason_1": "The bright, standard lighting of Video 1 feels more like a documentary clip than a tranquil, atmospheric scene.", "reason_2": "The silhouette against the colorful sky in Video 2 effectively evokes the requested sense of freedom and tranquility.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a standard tracking shot composition.", "reason_2": "Video 2 utilizes the backlighting to create a more dramatic and artistically composed image.", "score_1": 4, "score_2": 6}, {"name": "Color Harmony & Grading", "reason_1": "The color grading in Video 1 is monochromatic (mostly yellow/brown).", "reason_2": "Video 2 displays a pleasing and accurate color harmony between the pink/orange sky and the dark foreground.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the 'breathtaking' and 'tranquil' mood much better through its artistic use of backlighting and color, aligning with the prompt's emotional intent.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it strictly adheres to the specific stylistic constraints of the prompt, particularly the requirement for 'silhouettes etched against the horizon' and the 'vibrant oranges and pinks' in the sky. While Video 1 offers superior texture resolution and definition of the cowboy's attire, it completely fails to render the requested silhouette effect, resulting in a standard, fully-lit shot that misses the prompt's intended atmospheric contrast.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 50.0, "total_score_2": 50.0, "elapsed_sec": 59.55} +{"pair_id": "076_seed_42", "sample_index": 76, "seed": 42, "prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_42_The camera soars above a lively medieval marketpla.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Era-Specific Detail Rendering\", \"reason_1\": \"Video 1 clearly renders medieval elements like produce and fabrics, and modern elements like glass skyscrapers and cars.\", \"reason_2\": \"Video 2 is so blurry that specific details like 'fresh produce' or 'glass facades' are indistinguishable blobs.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Transition Logic & Continuity\", \"reason_1\": \"Video 1 fails the 'smooth morph' instruction, instead using a jarring, glitch-like cut where the two scenes are superimposed.\", \"reason_2\": \"Video 2 attempts a continuous camera movement that flows from one setting to the next, adhering better to the 'smooth transition' instruction despite the blur.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Definition (Crowds & Traffic)\", \"reason_1\": \"Video 1 shows distinct figures, stalls, and vehicles.\", \"reason_2\": \"Video 2 renders subjects as amorphous, ghostly smears with no recognizable anatomy or vehicle structure.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific details of both eras (produce, fabrics, skyscrapers, cars), whereas Video 2's lack of definition makes it impossible to verify these elements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is crisp, with high resolution and clear textures.\", \"reason_2\": \"The video is extremely blurry, lacking any sharp edges or texture definition.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Motion Stability & Clarity\", \"reason_1\": \"Motion is stable and objects maintain their form.\", \"reason_2\": \"The camera motion creates severe smearing artifacts, destroying the image integrity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Persistence\", \"reason_1\": \"Objects remain solid and recognizable throughout the clip.\", \"reason_2\": \"Objects dissolve into the background due to the low-quality rendering.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 maintains professional-grade sharpness and stability, while Video 2 exhibits severe motion blur and low resolution.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The colors are vibrant and the composition is professional, making for a pleasing viewing experience.\", \"reason_2\": \"The visual noise and blur make the video unpleasant and difficult to watch.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Juxtaposition\", \"reason_1\": \"The clear contrast between the two distinct scenes effectively highlights the 'evolution of commerce' requested.\", \"reason_2\": \"The narrative is lost because the visual distinction between the eras is muddied by the blur.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Vibrancy & Lighting\", \"reason_1\": \"Video 1 captures the 'vibrant hues' and 'neon lights' effectively.\", \"reason_2\": \"Colors are washed out and indistinct.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 offers a visually pleasing and colorful presentation that effectively contrasts the two eras, whereas Video 2 is visually unappealing due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity and distinct rendering of the prompt's required elements. While its transition is abrupt (a hard cut/overlay rather than a smooth morph), it successfully generates recognizable medieval stalls, produce, and modern skyscrapers with high clarity. Video 2, conversely, suffers from catastrophic motion blur and low resolution, rendering the subjects and environments as indistinguishable smears, failing to meet the basic visual standards required to depict the scene.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Era-Specific Detail Rendering", "reason_1": "Video 1 clearly renders medieval elements like produce and fabrics, and modern elements like glass skyscrapers and cars.", "reason_2": "Video 2 is so blurry that specific details like 'fresh produce' or 'glass facades' are indistinguishable blobs.", "score_1": 9, "score_2": 1}, {"name": "Transition Logic & Continuity", "reason_1": "Video 1 fails the 'smooth morph' instruction, instead using a jarring, glitch-like cut where the two scenes are superimposed.", "reason_2": "Video 2 attempts a continuous camera movement that flows from one setting to the next, adhering better to the 'smooth transition' instruction despite the blur.", "score_1": 3, "score_2": 7}, {"name": "Subject Definition (Crowds & Traffic)", "reason_1": "Video 1 shows distinct figures, stalls, and vehicles.", "reason_2": "Video 2 renders subjects as amorphous, ghostly smears with no recognizable anatomy or vehicle structure.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific details of both eras (produce, fabrics, skyscrapers, cars), whereas Video 2's lack of definition makes it impossible to verify these elements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is crisp, with high resolution and clear textures.", "reason_2": "The video is extremely blurry, lacking any sharp edges or texture definition.", "score_1": 10, "score_2": 0}, {"name": "Motion Stability & Clarity", "reason_1": "Motion is stable and objects maintain their form.", "reason_2": "The camera motion creates severe smearing artifacts, destroying the image integrity.", "score_1": 9, "score_2": 1}, {"name": "Object Persistence", "reason_1": "Objects remain solid and recognizable throughout the clip.", "reason_2": "Objects dissolve into the background due to the low-quality rendering.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 maintains professional-grade sharpness and stability, while Video 2 exhibits severe motion blur and low resolution.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The colors are vibrant and the composition is professional, making for a pleasing viewing experience.", "reason_2": "The visual noise and blur make the video unpleasant and difficult to watch.", "score_1": 9, "score_2": 1}, {"name": "Narrative Juxtaposition", "reason_1": "The clear contrast between the two distinct scenes effectively highlights the 'evolution of commerce' requested.", "reason_2": "The narrative is lost because the visual distinction between the eras is muddied by the blur.", "score_1": 8, "score_2": 2}, {"name": "Color Vibrancy & Lighting", "reason_1": "Video 1 captures the 'vibrant hues' and 'neon lights' effectively.", "reason_2": "Colors are washed out and indistinct.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 offers a visually pleasing and colorful presentation that effectively contrasts the two eras, whereas Video 2 is visually unappealing due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity and distinct rendering of the prompt's required elements. While its transition is abrupt (a hard cut/overlay rather than a smooth morph), it successfully generates recognizable medieval stalls, produce, and modern skyscrapers with high clarity. Video 2, conversely, suffers from catastrophic motion blur and low resolution, rendering the subjects and environments as indistinguishable smears, failing to meet the basic visual standards required to depict the scene.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 54.291} +{"pair_id": "078_seed_930", "sample_index": 78, "seed": 930, "prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_078_seed_930_A sprawling Martian cityscape unfolds under a crim.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Martian Sky & Cityscape)\", \"reason_1\": \"Video 1 clearly depicts a reddish-orange sky and a cityscape that feels expansive and open, fitting the 'Martian' description.\", \"reason_2\": \"Video 2 is dominated by a heavy magenta/purple tint that obscures the 'crimson sky' and makes the environment feel more like a generic neon tunnel than a Martian city.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Action (Flying Cars & Weaving)\", \"reason_1\": \"Video 1 shows vehicles at varying heights, suggesting the 'flying' and 'weaving' motion described in the prompt.\", \"reason_2\": \"Video 2 depicts vehicles that appear to be driving on a flat surface or hovering very low, lacking the verticality implied by 'flying cars'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Key Object Detail (Holographic Advertisements)\", \"reason_1\": \"Video 1 features large, distinct screens on the buildings that appear to display changing content, aligning well with the 'dynamic holographic advertisements' requirement.\", \"reason_2\": \"Video 2 includes screens, but they are less distinct and blend into the general noise of the scene, lacking the 'colossal' presence requested.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately captures the specific environmental cues (Martian sky, flying cars) and the scale of the city. Video 2 deviates by presenting a scene that looks more like a standard cyberpunk street with ground-based traffic and a purple color palette.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Geometry Consistency)\", \"reason_1\": \"The buildings and vehicles in Video 1 maintain their shape and structure reasonably well throughout the camera movement.\", \"reason_2\": \"Video 2 exhibits severe warping; the buildings and cars constantly shift shape and 'melt' as the camera moves, breaking immersion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image in Video 1 is relatively sharp with defined edges on the architecture.\", \"reason_2\": \"Video 2 is blurry and noisy, with a 'deep-fried' visual quality that obscures details.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The camera glide in Video 1 is smooth and consistent, creating a sense of forward momentum.\", \"reason_2\": \"The motion in Video 2 feels jittery, and the background elements do not move with proper parallax, creating a disjointed visual experience.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains structural integrity throughout the clip. Video 2 suffers from significant hallucinations, where buildings and cars warp, melt, and change shape drastically as the camera moves.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Atmospheric Tone\", \"reason_1\": \"Video 1 successfully blends the 'crimson' Martian atmosphere with the 'neon' city lights, creating a cohesive look.\", \"reason_2\": \"Video 2 is oversaturated with magenta and purple, lacking the contrast and specific color palette requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Scale\", \"reason_1\": \"The framing in Video 1 conveys the height of the skyscrapers and the depth of the avenue.\", \"reason_2\": \"Video 2 feels claustrophobic and lacks a clear focal point or sense of scale.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually engaging and looks like a coherent sci-fi scene.\", \"reason_2\": \"Video 2 is difficult to watch due to the excessive visual artifacts and lack of definition.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a cinematic composition that effectively conveys the scale of a metropolis. Video 2 feels cluttered and visually aggressive due to the color saturation and lack of depth.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior semantic alignment with the 'Martian' setting and 'flying cars' requirement, while maintaining significantly better temporal stability. Video 2 suffers from severe morphological warping, incorrect color grading (leaning too heavily into purple/magenta rather than crimson), and a lack of verticality in the vehicle movement.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A sprawling Martian cityscape unfolds under a crimson sky, where sleek flying cars zip through neon-lit avenues, casting vibrant reflections on the metallic surfaces below. The camera glides through this bustling metropolis, capturing the intricate dance of vehicles weaving between towering structures. As it zooms in, a colossal skyscraper emerges, its facade adorned with dynamic holographic advertisements that flicker and shift, showcasing interstellar products and services. The building's glassy exterior mirrors the kaleidoscope of colors from the streets, while digital billboards project futuristic imagery, creating a mesmerizing blend of technology and architecture in this otherworldly urban landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Martian Sky & Cityscape)", "reason_1": "Video 1 clearly depicts a reddish-orange sky and a cityscape that feels expansive and open, fitting the 'Martian' description.", "reason_2": "Video 2 is dominated by a heavy magenta/purple tint that obscures the 'crimson sky' and makes the environment feel more like a generic neon tunnel than a Martian city.", "score_1": 8, "score_2": 2}, {"name": "Subject Action (Flying Cars & Weaving)", "reason_1": "Video 1 shows vehicles at varying heights, suggesting the 'flying' and 'weaving' motion described in the prompt.", "reason_2": "Video 2 depicts vehicles that appear to be driving on a flat surface or hovering very low, lacking the verticality implied by 'flying cars'.", "score_1": 7, "score_2": 3}, {"name": "Key Object Detail (Holographic Advertisements)", "reason_1": "Video 1 features large, distinct screens on the buildings that appear to display changing content, aligning well with the 'dynamic holographic advertisements' requirement.", "reason_2": "Video 2 includes screens, but they are less distinct and blend into the general noise of the scene, lacking the 'colossal' presence requested.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately captures the specific environmental cues (Martian sky, flying cars) and the scale of the city. Video 2 deviates by presenting a scene that looks more like a standard cyberpunk street with ground-based traffic and a purple color palette.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Geometry Consistency)", "reason_1": "The buildings and vehicles in Video 1 maintain their shape and structure reasonably well throughout the camera movement.", "reason_2": "Video 2 exhibits severe warping; the buildings and cars constantly shift shape and 'melt' as the camera moves, breaking immersion.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image in Video 1 is relatively sharp with defined edges on the architecture.", "reason_2": "Video 2 is blurry and noisy, with a 'deep-fried' visual quality that obscures details.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Coherence", "reason_1": "The camera glide in Video 1 is smooth and consistent, creating a sense of forward momentum.", "reason_2": "The motion in Video 2 feels jittery, and the background elements do not move with proper parallax, creating a disjointed visual experience.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains structural integrity throughout the clip. Video 2 suffers from significant hallucinations, where buildings and cars warp, melt, and change shape drastically as the camera moves.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Atmospheric Tone", "reason_1": "Video 1 successfully blends the 'crimson' Martian atmosphere with the 'neon' city lights, creating a cohesive look.", "reason_2": "Video 2 is oversaturated with magenta and purple, lacking the contrast and specific color palette requested by the prompt.", "score_1": 8, "score_2": 2}, {"name": "Composition & Scale", "reason_1": "The framing in Video 1 conveys the height of the skyscrapers and the depth of the avenue.", "reason_2": "Video 2 feels claustrophobic and lacks a clear focal point or sense of scale.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually engaging and looks like a coherent sci-fi scene.", "reason_2": "Video 2 is difficult to watch due to the excessive visual artifacts and lack of definition.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a cinematic composition that effectively conveys the scale of a metropolis. Video 2 feels cluttered and visually aggressive due to the color saturation and lack of depth.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior semantic alignment with the 'Martian' setting and 'flying cars' requirement, while maintaining significantly better temporal stability. Video 2 suffers from severe morphological warping, incorrect color grading (leaning too heavily into purple/magenta rather than crimson), and a lack of verticality in the vehicle movement.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 60.452} +{"pair_id": "081_seed_310", "sample_index": 81, "seed": 310, "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_310_In a noir-style scene a detective in a classic tre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_310_In a noir-style scene a detective in a classic tre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_310_In a noir-style scene a detective in a classic tre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_310_In a noir-style scene a detective in a classic tre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Lighting Cigarette)\", \"reason_1\": \"Video 1 clearly depicts the detective holding a lighter, striking it, and the flame illuminating his face as requested.\", \"reason_2\": \"Video 2 fails to show the action of lighting the cigarette; the subject simply has a cigarette in his mouth with no lighter or flame interaction visible.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Rain & Cobblestones)\", \"reason_1\": \"Video 1 renders the 'glistening cobblestones' and wet atmosphere effectively, creating a convincing rainy alley environment.\", \"reason_2\": \"Video 2 shows a wet ground, but the texture is flatter and lacks the specific 'glistening' detail requested in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Attributes (Attire & Features)\", \"reason_1\": \"Video 1 accurately renders the trench coat, fedora, and 'chiseled features' with high detail.\", \"reason_2\": \"Video 2 includes the correct attire, but the facial features are less defined and the hat brim casts a shadow that obscures the face too heavily.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 precisely follows the prompt's action sequence, specifically the lighting of the cigarette, whereas Video 2 misses this key interaction.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, with high-resolution textures on the clothing and skin.\", \"reason_2\": \"The image is softer and lacks the fine detail seen in Video 1, appearing slightly washed out.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Physics\", \"reason_1\": \"The light from the flame realistically interacts with the subject's face and the smoke, creating dynamic shadows.\", \"reason_2\": \"The lighting is static and flat; there is no dynamic light source interaction from the cigarette or environment.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The detective's face remains consistent and recognizable throughout the clip.\", \"reason_2\": \"The subject's facial structure shifts slightly between frames, showing lower temporal stability.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior sharpness, texture rendering, and lighting physics compared to the softer, flatter look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Noir Atmosphere & Color Grading\", \"reason_1\": \"Video 1 utilizes a classic teal and orange contrast (cool background, warm flame) that perfectly fits the 'noir-style' description.\", \"reason_2\": \"Video 2 has a more naturalistic but dull color palette that lacks the dramatic contrast associated with the noir genre.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The framing places the subject effectively against the alley depth, with the saxophonist in the background adding narrative depth.\", \"reason_2\": \"The composition is acceptable but feels flatter, with less separation between the subject and the background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Mood (Mystery & Tension)\", \"reason_1\": \"The combination of the stern expression, the lighting action, and the smoke creates the 'mysterious atmosphere' requested.\", \"reason_2\": \"The lack of dramatic lighting and the passive action result in a video that feels more like a casual walk than a moody noir scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'noir' aesthetic perfectly with dramatic lighting and color grading, while Video 2 feels more like a standard daylight scene at night.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the specific narrative action of lighting the cigarette, which Video 2 fails to depict. Furthermore, Video 1 exhibits significantly higher visual fidelity, better texture details on the wet cobblestones, and a more cinematic color grade that perfectly captures the requested noir atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Lighting Cigarette)", "reason_1": "Video 1 clearly depicts the detective holding a lighter, striking it, and the flame illuminating his face as requested.", "reason_2": "Video 2 fails to show the action of lighting the cigarette; the subject simply has a cigarette in his mouth with no lighter or flame interaction visible.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Rain & Cobblestones)", "reason_1": "Video 1 renders the 'glistening cobblestones' and wet atmosphere effectively, creating a convincing rainy alley environment.", "reason_2": "Video 2 shows a wet ground, but the texture is flatter and lacks the specific 'glistening' detail requested in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Subject Attributes (Attire & Features)", "reason_1": "Video 1 accurately renders the trench coat, fedora, and 'chiseled features' with high detail.", "reason_2": "Video 2 includes the correct attire, but the facial features are less defined and the hat brim casts a shadow that obscures the face too heavily.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 precisely follows the prompt's action sequence, specifically the lighting of the cigarette, whereas Video 2 misses this key interaction.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, with high-resolution textures on the clothing and skin.", "reason_2": "The image is softer and lacks the fine detail seen in Video 1, appearing slightly washed out.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Physics", "reason_1": "The light from the flame realistically interacts with the subject's face and the smoke, creating dynamic shadows.", "reason_2": "The lighting is static and flat; there is no dynamic light source interaction from the cigarette or environment.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The detective's face remains consistent and recognizable throughout the clip.", "reason_2": "The subject's facial structure shifts slightly between frames, showing lower temporal stability.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior sharpness, texture rendering, and lighting physics compared to the softer, flatter look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Noir Atmosphere & Color Grading", "reason_1": "Video 1 utilizes a classic teal and orange contrast (cool background, warm flame) that perfectly fits the 'noir-style' description.", "reason_2": "Video 2 has a more naturalistic but dull color palette that lacks the dramatic contrast associated with the noir genre.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Depth", "reason_1": "The framing places the subject effectively against the alley depth, with the saxophonist in the background adding narrative depth.", "reason_2": "The composition is acceptable but feels flatter, with less separation between the subject and the background.", "score_1": 7, "score_2": 3}, {"name": "Narrative Mood (Mystery & Tension)", "reason_1": "The combination of the stern expression, the lighting action, and the smoke creates the 'mysterious atmosphere' requested.", "reason_2": "The lack of dramatic lighting and the passive action result in a video that feels more like a casual walk than a moody noir scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'noir' aesthetic perfectly with dramatic lighting and color grading, while Video 2 feels more like a standard daylight scene at night.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the specific narrative action of lighting the cigarette, which Video 2 fails to depict. Furthermore, Video 1 exhibits significantly higher visual fidelity, better texture details on the wet cobblestones, and a more cinematic color grade that perfectly captures the requested noir atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 69.0, "total_score_2": 21.0, "elapsed_sec": 56.084} +{"pair_id": "084_seed_42", "sample_index": 84, "seed": 42, "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_42_A man wearing a rugged outdoor jacket and cargo pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Appearance\", \"reason_1\": \"Video 1 correctly depicts the rugged jacket and cargo pants, though the textures are somewhat muddy.\", \"reason_2\": \"Video 2 also correctly depicts the attire with slightly better definition of the fabric folds and rugged aesthetic.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Facial Expression & Emotional Intensity\", \"reason_1\": \"The subject's face in Video 1 is heavily distorted and morphs constantly, failing to convey a readable 'intense, wide-eyed' expression.\", \"reason_2\": \"Video 2 maintains a consistent facial structure that clearly conveys the requested intensity, determination, and urgency.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting (Dappled Sunlight)\", \"reason_1\": \"Video 1 has flat, diffuse lighting that misses the specific instruction for 'dappled patterns' on the face.\", \"reason_2\": \"Video 2 successfully renders high-contrast lighting with distinct dappled sunlight patterns on the subject's face and clothing, matching the prompt perfectly.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Dynamics (Sprinting)\", \"reason_1\": \"The sprinting motion is present but feels slightly floaty and disconnected from the ground.\", \"reason_2\": \"The sprinting motion feels more grounded and physically plausible, conveying the 'wild dash' effectively.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific lighting and emotional requirements of the prompt much better than Video 1, which struggles with facial expression due to distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's face changes shape and features significantly throughout the clip, breaking immersion completely.\", \"reason_2\": \"The subject's facial identity remains remarkably consistent throughout the sprint, maintaining a recognizable likeness.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Body & Clothing)\", \"reason_1\": \"The jacket and limbs in Video 1 exhibit 'melting' artifacts and unnatural warping during movement.\", \"reason_2\": \"Video 2 maintains the structural integrity of the body and clothing much better, with only minor artifacts.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The overall image is softer and lacks the crisp detail seen in the comparison video.\", \"reason_2\": \"The video is sharper, with better definition in the trees and the subject's features.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This is the deciding category. Video 1 fails significantly on temporal stability, while Video 2 maintains a coherent subject throughout the clip.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"The lighting is functional but lacks the dramatic, cinematic quality implied by the prompt's description of sunlight and adrenaline.\", \"reason_2\": \"The lighting creates a strong mood, effectively highlighting the subject and enhancing the sense of urgency.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Motion & Tracking\", \"reason_1\": \"The camera tracks the subject adequately, though the background blur feels somewhat artificial.\", \"reason_2\": \"The camera work is smooth and keeps the subject well-framed, enhancing the feeling of a chase or sprint.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is low due to the distracting morphing artifacts and lack of contrast.\", \"reason_2\": \"The video is visually engaging, with good color contrast and a professional look that fits the 'action movie' tone of the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a more cinematic look with better lighting composition and a stronger sense of urgency.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner primarily due to superior temporal stability and visual fidelity. While both videos attempt the prompt, Video 1 suffers from severe facial morphing and identity loss, making the 'intense expression' impossible to read. Video 2 maintains a consistent character identity, renders the requested 'dappled sunlight' much more effectively, and delivers a sharper, more cinematic image with better motion coherence.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Appearance", "reason_1": "Video 1 correctly depicts the rugged jacket and cargo pants, though the textures are somewhat muddy.", "reason_2": "Video 2 also correctly depicts the attire with slightly better definition of the fabric folds and rugged aesthetic.", "score_1": 5, "score_2": 5}, {"name": "Facial Expression & Emotional Intensity", "reason_1": "The subject's face in Video 1 is heavily distorted and morphs constantly, failing to convey a readable 'intense, wide-eyed' expression.", "reason_2": "Video 2 maintains a consistent facial structure that clearly conveys the requested intensity, determination, and urgency.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting (Dappled Sunlight)", "reason_1": "Video 1 has flat, diffuse lighting that misses the specific instruction for 'dappled patterns' on the face.", "reason_2": "Video 2 successfully renders high-contrast lighting with distinct dappled sunlight patterns on the subject's face and clothing, matching the prompt perfectly.", "score_1": 3, "score_2": 7}, {"name": "Action Dynamics (Sprinting)", "reason_1": "The sprinting motion is present but feels slightly floaty and disconnected from the ground.", "reason_2": "The sprinting motion feels more grounded and physically plausible, conveying the 'wild dash' effectively.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific lighting and emotional requirements of the prompt much better than Video 1, which struggles with facial expression due to distortion.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's face changes shape and features significantly throughout the clip, breaking immersion completely.", "reason_2": "The subject's facial identity remains remarkably consistent throughout the sprint, maintaining a recognizable likeness.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Body & Clothing)", "reason_1": "The jacket and limbs in Video 1 exhibit 'melting' artifacts and unnatural warping during movement.", "reason_2": "Video 2 maintains the structural integrity of the body and clothing much better, with only minor artifacts.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The overall image is softer and lacks the crisp detail seen in the comparison video.", "reason_2": "The video is sharper, with better definition in the trees and the subject's features.", "score_1": 4, "score_2": 6}], "cat_reason": "This is the deciding category. Video 1 fails significantly on temporal stability, while Video 2 maintains a coherent subject throughout the clip.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "The lighting is functional but lacks the dramatic, cinematic quality implied by the prompt's description of sunlight and adrenaline.", "reason_2": "The lighting creates a strong mood, effectively highlighting the subject and enhancing the sense of urgency.", "score_1": 3, "score_2": 7}, {"name": "Camera Motion & Tracking", "reason_1": "The camera tracks the subject adequately, though the background blur feels somewhat artificial.", "reason_2": "The camera work is smooth and keeps the subject well-framed, enhancing the feeling of a chase or sprint.", "score_1": 5, "score_2": 5}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is low due to the distracting morphing artifacts and lack of contrast.", "reason_2": "The video is visually engaging, with good color contrast and a professional look that fits the 'action movie' tone of the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a more cinematic look with better lighting composition and a stronger sense of urgency.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner primarily due to superior temporal stability and visual fidelity. While both videos attempt the prompt, Video 1 suffers from severe facial morphing and identity loss, making the 'intense expression' impossible to read. Video 2 maintains a consistent character identity, renders the requested 'dappled sunlight' much more effectively, and delivers a sharper, more cinematic image with better motion coherence.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 33.0, "total_score_2": 67.0, "elapsed_sec": 57.961} +{"pair_id": "086_seed_930", "sample_index": 86, "seed": 930, "prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_086_seed_930_A young woman with flowing hair sits gracefully at.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Compliance (Rotation)\", \"reason_1\": \"Video 1 is essentially a static shot with no perceptible camera rotation, failing a key instruction.\", \"reason_2\": \"Video 2 executes a clear orbital camera movement around the subject, revealing the piano and background as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Attribute Fidelity (Dress & Hair)\", \"reason_1\": \"Video 1 renders the 'intricate details of her white lace dress' with high precision and realistic texture.\", \"reason_2\": \"Video 2's dress lacks the requested intricate lace detail, appearing more generic and smooth.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Elements (Seagulls & Ocean)\", \"reason_1\": \"Video 1 features seagulls that are clearly defined and integrated into the scene's lighting.\", \"reason_2\": \"Video 2 includes seagulls, but they appear somewhat erratic and less integrated into the depth of the scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 strictly adheres to the complex camera movement instruction, whereas Video 1 ignores it. However, Video 1 is more accurate regarding the specific attributes of the subject's dress.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain perfectly consistent and recognizable throughout the clip.\", \"reason_2\": \"The subject's face morphs significantly as the camera angle changes, losing identity consistency.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Structural Integrity (Piano)\", \"reason_1\": \"The piano maintains a solid, realistic shape and perspective throughout.\", \"reason_2\": \"The piano warps and distorts noticeably during the camera rotation, particularly the lid and keys.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high-resolution textures on the sand and dress.\", \"reason_2\": \"The video has a softer, slightly blurry quality with less definition in the fine details.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 suffers from significant morphing and distortion of the subject and piano during the camera move.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Golden/Pastel)\", \"reason_1\": \"Video 1 perfectly captures the 'soft, golden light' and 'pastel hues' creating a cohesive mood.\", \"reason_2\": \"Video 2 has harsher contrast and less cohesive color grading, missing the 'whimsical' tone.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition is balanced, serene, and aesthetically pleasing.\", \"reason_2\": \"The visual appeal is diminished by the warping artifacts and lower resolution.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Flow (Graceful Performance)\", \"reason_1\": \"The subject's posture and the scene's stillness convey the requested 'graceful' and 'serene' narrative effectively.\", \"reason_2\": \"The morphing and camera shake detract from the sense of grace and serenity.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the 'enchanting' and 'whimsical' atmosphere with superior lighting and color grading, creating a much more beautiful image than Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, stability, and aesthetic beauty. While Video 2 attempts the requested camera rotation, it suffers from severe morphological instability (warping of the face and piano) and lower resolution. Video 1, despite being largely static and missing the rotation instruction, delivers a flawless, high-definition representation of the subject, dress details, and atmospheric lighting, making it the much more usable and visually pleasing generation.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A young woman with flowing hair sits gracefully at a grand piano on a sandy beach, her fingers dancing over the keys, creating a melody that harmonizes with the gentle waves. The camera begins to rotate around her, capturing her serene expression and the intricate details of her white lace dress. As it moves, the expansive ocean stretches endlessly, its surface shimmering under the soft, golden light of the setting sun. The sky is painted with pastel hues, adding to the whimsical atmosphere. Seagulls glide gracefully above, and the gentle breeze rustles her hair, completing the enchanting scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Compliance (Rotation)", "reason_1": "Video 1 is essentially a static shot with no perceptible camera rotation, failing a key instruction.", "reason_2": "Video 2 executes a clear orbital camera movement around the subject, revealing the piano and background as requested.", "score_1": 1, "score_2": 9}, {"name": "Subject Attribute Fidelity (Dress & Hair)", "reason_1": "Video 1 renders the 'intricate details of her white lace dress' with high precision and realistic texture.", "reason_2": "Video 2's dress lacks the requested intricate lace detail, appearing more generic and smooth.", "score_1": 8, "score_2": 2}, {"name": "Environmental Elements (Seagulls & Ocean)", "reason_1": "Video 1 features seagulls that are clearly defined and integrated into the scene's lighting.", "reason_2": "Video 2 includes seagulls, but they appear somewhat erratic and less integrated into the depth of the scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 strictly adheres to the complex camera movement instruction, whereas Video 1 ignores it. However, Video 1 is more accurate regarding the specific attributes of the subject's dress.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain perfectly consistent and recognizable throughout the clip.", "reason_2": "The subject's face morphs significantly as the camera angle changes, losing identity consistency.", "score_1": 9, "score_2": 1}, {"name": "Object Structural Integrity (Piano)", "reason_1": "The piano maintains a solid, realistic shape and perspective throughout.", "reason_2": "The piano warps and distorts noticeably during the camera rotation, particularly the lid and keys.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high-resolution textures on the sand and dress.", "reason_2": "The video has a softer, slightly blurry quality with less definition in the fine details.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 suffers from significant morphing and distortion of the subject and piano during the camera move.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Golden/Pastel)", "reason_1": "Video 1 perfectly captures the 'soft, golden light' and 'pastel hues' creating a cohesive mood.", "reason_2": "Video 2 has harsher contrast and less cohesive color grading, missing the 'whimsical' tone.", "score_1": 9, "score_2": 1}, {"name": "Overall Visual Appeal", "reason_1": "The composition is balanced, serene, and aesthetically pleasing.", "reason_2": "The visual appeal is diminished by the warping artifacts and lower resolution.", "score_1": 8, "score_2": 2}, {"name": "Narrative Flow (Graceful Performance)", "reason_1": "The subject's posture and the scene's stillness convey the requested 'graceful' and 'serene' narrative effectively.", "reason_2": "The morphing and camera shake detract from the sense of grace and serenity.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the 'enchanting' and 'whimsical' atmosphere with superior lighting and color grading, creating a much more beautiful image than Video 2.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, stability, and aesthetic beauty. While Video 2 attempts the requested camera rotation, it suffers from severe morphological instability (warping of the face and piano) and lower resolution. Video 1, despite being largely static and missing the rotation instruction, delivers a flawless, high-definition representation of the subject, dress details, and atmospheric lighting, making it the much more usable and visually pleasing generation.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 64.0, "total_score_2": 26.0, "elapsed_sec": 53.755} +{"pair_id": "089_seed_310", "sample_index": 89, "seed": 310, "prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_310_The camera hurtles at breakneck speed through a di.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_310_The camera hurtles at breakneck speed through a di.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_310_The camera hurtles at breakneck speed through a di.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_310_The camera hurtles at breakneck speed through a di.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Manifestation (Vines & Tendrils)\", \"reason_1\": \"Video 1 fails to render distinct vines; the environment is a smear of green and brown pixels with no recognizable organic structure.\", \"reason_2\": \"Video 2 clearly renders individual vines, leaves, and tendrils that appear to be growing and twisting, aligning perfectly with the prompt's description.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Transition (Tunnel to Labyrinth)\", \"reason_1\": \"Video 1 shows a transition from a brownish blur to a green blur, but lacks the spatial definition of a 'labyrinth' or 'maze'.\", \"reason_2\": \"Video 2 depicts a clear progression from a narrower, dimly lit passage into a wider, more complex space filled with vegetation, effectively simulating the 'emerging' aspect.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Attribute Fidelity (Vibrant Green vs. Earthy Tones)\", \"reason_1\": \"Video 1 contains the correct colors (green and brown), but they are muddy and lack the 'vibrant' contrast requested.\", \"reason_2\": \"Video 2 displays a sharp, vibrant green that contrasts well with the earthy tones of the ground and walls, fulfilling the specific color attribute requirements.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders the specific subjects (vines, tendrils) and the environmental transition described in the prompt. Video 1 fails to generate recognizable objects, presenting only abstract motion blur.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"The video is extremely blurry and low-resolution; textures are non-existent, appearing as digital noise.\", \"reason_2\": \"Textures on the vines and walls are sharp and defined, maintaining clarity even during the fast camera movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The environment in Video 1 constantly morphs and warps unnaturally, lacking physical solidity.\", \"reason_2\": \"The vines and walls in Video 2 maintain their shape and structure as the camera moves past them, showing good temporal coherence.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Clarity (Speed vs. Blur)\", \"reason_1\": \"Video 1 relies on excessive motion blur to simulate speed, which destroys the image quality.\", \"reason_2\": \"Video 2 conveys 'breakneck speed' through rapid movement while keeping the foreground elements relatively sharp and readable.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains high visual fidelity and object permanence despite the high speed. Video 1 suffers from severe degradation, appearing as a low-resolution glitch rather than a coherent video.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Immersion (Thrilling/Unsettling)\", \"reason_1\": \"The atmosphere is confusing rather than thrilling due to the lack of visual information.\", \"reason_2\": \"The combination of speed, lighting, and the 'living' nature of the vines creates the specific unsettling and thrilling mood requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Navigation & Flow\", \"reason_1\": \"The camera movement feels like a simple linear zoom into noise.\", \"reason_2\": \"The camera feels like it is actively 'weaving' through the environment, navigating the space with a sense of depth and dimension.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy artifacting and lack of detail.\", \"reason_2\": \"The video is visually engaging, with a clear style and high-quality rendering that makes the scene easy to follow and enjoy.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully creates the 'thrilling and unsettling' atmosphere through effective composition and lighting. Video 1 fails to evoke the intended mood due to its lack of visual coherence.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every metric. It successfully renders the specific semantic details of the prompt, such as the 'vibrant green vines' and the 'earthy tones' of the tunnel, with high visual clarity. Video 1, by contrast, is an incoherent blur of colors that fails to form distinct objects or textures, suffering from extreme motion artifacts and low resolution. Video 2 captures the 'breakneck speed' while maintaining the structural integrity of the scene, whereas Video 1 dissolves into visual noise.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Manifestation (Vines & Tendrils)", "reason_1": "Video 1 fails to render distinct vines; the environment is a smear of green and brown pixels with no recognizable organic structure.", "reason_2": "Video 2 clearly renders individual vines, leaves, and tendrils that appear to be growing and twisting, aligning perfectly with the prompt's description.", "score_1": 1, "score_2": 9}, {"name": "Environmental Transition (Tunnel to Labyrinth)", "reason_1": "Video 1 shows a transition from a brownish blur to a green blur, but lacks the spatial definition of a 'labyrinth' or 'maze'.", "reason_2": "Video 2 depicts a clear progression from a narrower, dimly lit passage into a wider, more complex space filled with vegetation, effectively simulating the 'emerging' aspect.", "score_1": 3, "score_2": 7}, {"name": "Attribute Fidelity (Vibrant Green vs. Earthy Tones)", "reason_1": "Video 1 contains the correct colors (green and brown), but they are muddy and lack the 'vibrant' contrast requested.", "reason_2": "Video 2 displays a sharp, vibrant green that contrasts well with the earthy tones of the ground and walls, fulfilling the specific color attribute requirements.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders the specific subjects (vines, tendrils) and the environmental transition described in the prompt. Video 1 fails to generate recognizable objects, presenting only abstract motion blur.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Definition", "reason_1": "The video is extremely blurry and low-resolution; textures are non-existent, appearing as digital noise.", "reason_2": "Textures on the vines and walls are sharp and defined, maintaining clarity even during the fast camera movement.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Object Permanence)", "reason_1": "The environment in Video 1 constantly morphs and warps unnaturally, lacking physical solidity.", "reason_2": "The vines and walls in Video 2 maintain their shape and structure as the camera moves past them, showing good temporal coherence.", "score_1": 2, "score_2": 8}, {"name": "Motion Clarity (Speed vs. Blur)", "reason_1": "Video 1 relies on excessive motion blur to simulate speed, which destroys the image quality.", "reason_2": "Video 2 conveys 'breakneck speed' through rapid movement while keeping the foreground elements relatively sharp and readable.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains high visual fidelity and object permanence despite the high speed. Video 1 suffers from severe degradation, appearing as a low-resolution glitch rather than a coherent video.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Immersion (Thrilling/Unsettling)", "reason_1": "The atmosphere is confusing rather than thrilling due to the lack of visual information.", "reason_2": "The combination of speed, lighting, and the 'living' nature of the vines creates the specific unsettling and thrilling mood requested.", "score_1": 2, "score_2": 8}, {"name": "Camera Navigation & Flow", "reason_1": "The camera movement feels like a simple linear zoom into noise.", "reason_2": "The camera feels like it is actively 'weaving' through the environment, navigating the space with a sense of depth and dimension.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to heavy artifacting and lack of detail.", "reason_2": "The video is visually engaging, with a clear style and high-quality rendering that makes the scene easy to follow and enjoy.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully creates the 'thrilling and unsettling' atmosphere through effective composition and lighting. Video 1 fails to evoke the intended mood due to its lack of visual coherence.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every metric. It successfully renders the specific semantic details of the prompt, such as the 'vibrant green vines' and the 'earthy tones' of the tunnel, with high visual clarity. Video 1, by contrast, is an incoherent blur of colors that fails to form distinct objects or textures, suffering from extreme motion artifacts and low resolution. Video 2 captures the 'breakneck speed' while maintaining the structural integrity of the scene, whereas Video 1 dissolves into visual noise.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 61.746} +{"pair_id": "092_seed_42", "sample_index": 92, "seed": 42, "prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_42_A daring surfer clad in gleaming medieval armor ex.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_42_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_42_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_42_A daring surfer clad in gleaming medieval armor ex.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Action Fidelity (Surfer vs. Static)\", \"reason_1\": \"Video 1 depicts a figure in a prone, crawling posture, completely failing to represent the 'surfer' or 'navigating' action.\", \"reason_2\": \"Video 2 shows a knight in a dynamic, upright posture consistent with riding or maneuvering, aligning well with the 'surfer' concept.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Lava Flow)\", \"reason_1\": \"The environment in Video 1 resembles pink sand dunes or abstract cloth rather than a molten lava flow.\", \"reason_2\": \"Video 2 clearly depicts a fiery, fluid environment with appropriate colors and textures representing molten lava.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Specificity (Armor & Engravings)\", \"reason_1\": \"Video 1 features armor, but the details are soft and the 'gleaming' quality is lost in the low-contrast lighting.\", \"reason_2\": \"Video 2 renders the armor with high detail, showing the requested 'intricate engravings' and metallic sheen clearly.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly identifies the subject as a surfer-like figure in armor and places them in a convincing lava environment. Video 1 fails the core action prompt, depicting a crawling figure in a sandy environment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is blurry and lacks definition, appearing more like a moving painting than a realistic video.\", \"reason_2\": \"The video is sharp, with crisp details on the metal armor and distinct separation between the subject and background.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting Interaction (Reflections & Glint)\", \"reason_1\": \"Lighting is diffuse and flat; the armor does not reflect the environment or 'glint' as requested.\", \"reason_2\": \"The armor exhibits realistic specular highlights and reflections of the fiery background, fulfilling the 'glint' requirement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Coherence & Stability\", \"reason_1\": \"The motion is minimal and somewhat warping, lacking physical weight.\", \"reason_2\": \"The motion is dynamic and fluid, maintaining the structural integrity of the complex armor during movement.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers high-definition textures and realistic lighting interactions. Video 1 suffers from a soft, painterly blur and lacks the sharpness required for the prompt's details.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Intensity (Heat & Power)\", \"reason_1\": \"The mood is passive and calm, failing to convey 'intense heat' or 'elemental power'.\", \"reason_2\": \"The video successfully conveys a high-energy, intense atmosphere through color grading and dynamic composition.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Dynamics (Follow Shot)\", \"reason_1\": \"The camera is largely static with a slight drift, failing to 'follow closely' in an active sense.\", \"reason_2\": \"The camera moves with the subject, creating a sense of speed and engagement that matches the 'follows closely' instruction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual style is somewhat muddy and lacks the 'breathtaking' quality requested.\", \"reason_2\": \"The composition, lighting, and detail combine to create a visually striking and aesthetically pleasing clip.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'breathtaking' and 'intense' mood requested by the prompt through dynamic camera work and vibrant colors. Video 1 is static and lacks emotional impact.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully depicts the core concept of a knight in armor actively navigating a fiery environment, closely matching the 'surfer' and 'lava' semantics. Video 1 fails significantly in semantic alignment, showing a figure crawling on sand rather than surfing on lava, and lacks the dynamic energy and visual fidelity present in Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Action Fidelity (Surfer vs. Static)", "reason_1": "Video 1 depicts a figure in a prone, crawling posture, completely failing to represent the 'surfer' or 'navigating' action.", "reason_2": "Video 2 shows a knight in a dynamic, upright posture consistent with riding or maneuvering, aligning well with the 'surfer' concept.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Lava Flow)", "reason_1": "The environment in Video 1 resembles pink sand dunes or abstract cloth rather than a molten lava flow.", "reason_2": "Video 2 clearly depicts a fiery, fluid environment with appropriate colors and textures representing molten lava.", "score_1": 2, "score_2": 8}, {"name": "Attribute Specificity (Armor & Engravings)", "reason_1": "Video 1 features armor, but the details are soft and the 'gleaming' quality is lost in the low-contrast lighting.", "reason_2": "Video 2 renders the armor with high detail, showing the requested 'intricate engravings' and metallic sheen clearly.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly identifies the subject as a surfer-like figure in armor and places them in a convincing lava environment. Video 1 fails the core action prompt, depicting a crawling figure in a sandy environment.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is blurry and lacks definition, appearing more like a moving painting than a realistic video.", "reason_2": "The video is sharp, with crisp details on the metal armor and distinct separation between the subject and background.", "score_1": 2, "score_2": 8}, {"name": "Lighting Interaction (Reflections & Glint)", "reason_1": "Lighting is diffuse and flat; the armor does not reflect the environment or 'glint' as requested.", "reason_2": "The armor exhibits realistic specular highlights and reflections of the fiery background, fulfilling the 'glint' requirement.", "score_1": 3, "score_2": 7}, {"name": "Motion Coherence & Stability", "reason_1": "The motion is minimal and somewhat warping, lacking physical weight.", "reason_2": "The motion is dynamic and fluid, maintaining the structural integrity of the complex armor during movement.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers high-definition textures and realistic lighting interactions. Video 1 suffers from a soft, painterly blur and lacks the sharpness required for the prompt's details.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Intensity (Heat & Power)", "reason_1": "The mood is passive and calm, failing to convey 'intense heat' or 'elemental power'.", "reason_2": "The video successfully conveys a high-energy, intense atmosphere through color grading and dynamic composition.", "score_1": 2, "score_2": 8}, {"name": "Camera Dynamics (Follow Shot)", "reason_1": "The camera is largely static with a slight drift, failing to 'follow closely' in an active sense.", "reason_2": "The camera moves with the subject, creating a sense of speed and engagement that matches the 'follows closely' instruction.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The visual style is somewhat muddy and lacks the 'breathtaking' quality requested.", "reason_2": "The composition, lighting, and detail combine to create a visually striking and aesthetically pleasing clip.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'breathtaking' and 'intense' mood requested by the prompt through dynamic camera work and vibrant colors. Video 1 is static and lacks emotional impact.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully depicts the core concept of a knight in armor actively navigating a fiery environment, closely matching the 'surfer' and 'lava' semantics. Video 1 fails significantly in semantic alignment, showing a figure crawling on sand rather than surfing on lava, and lacks the dynamic energy and visual fidelity present in Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 57.231} +{"pair_id": "094_seed_930", "sample_index": 94, "seed": 930, "prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_930_In a mesmerizing macro view delicate water droplet.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_930_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_094_seed_930_In a mesmerizing macro view delicate water droplet.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_094_seed_930_In a mesmerizing macro view delicate water droplet.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Fidelity (Web & Droplets)\", \"reason_1\": \"Video 1 renders the web as a chaotic, blurry mesh and the droplets as dark, undefined blobs.\", \"reason_2\": \"Video 2 renders a highly detailed, realistic spider web with distinct, clear water droplets.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Adherence (Zoom & Transformation)\", \"reason_1\": \"Video 1 attempts the requested camera zoom and dynamic changes, although the execution is technically flawed.\", \"reason_2\": \"Video 2 is essentially a static shot and fails to execute the requested 'zoom in' or 'transformation' sequence.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Ethereal & Dim)\", \"reason_1\": \"Video 1 has a muddy, brownish color palette that lacks the requested ethereal or mysterious quality.\", \"reason_2\": \"Video 2 perfectly captures the 'dimly lit,' 'ethereal glow,' and 'mysterious light' described in the prompt.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 accurately depicts the primary subjects (web, droplets) and the atmospheric requirements (ethereal, dimly lit). Video 1 fails to render a recognizable web or realistic droplets, despite attempting the camera movement.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The video is extremely blurry, pixelated, and lacks any definition.\", \"reason_2\": \"The image is crisp, sharp, and high-resolution, suitable for a macro shot.\", \"score_1\": 0, \"score_2\": 10}, {\"name\": \"Morphological Stability\", \"reason_1\": \"The web and droplets constantly morph, melt, and distort in a hallucinatory manner.\", \"reason_2\": \"The web structure and droplets remain solid and consistent throughout the clip.\", \"score_1\": 0, \"score_2\": 10}, {\"name\": \"Physics & Material Realism\", \"reason_1\": \"The droplets behave like viscous sludge or digital noise rather than water.\", \"reason_2\": \"The water droplets exhibit realistic surface tension and light refraction.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 demonstrates professional-grade visual quality with perfect stability. Video 1 suffers from severe artifacts, blurring, and temporal incoherence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual experience is unpleasant due to the heavy distortion and lack of clarity.\", \"reason_2\": \"The composition is beautiful, balanced, and visually engaging.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"Lighting is flat and colors are muddy and unappealing.\", \"reason_2\": \"Uses a sophisticated color palette with soft purples and warm highlights that enhance the 'cosmic' feel.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is chaotic and the subject is often obscured by blur.\", \"reason_2\": \"The web is centered and framed well to show the intricate details.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 presents a beautiful, wallpaper-worthy composition with excellent lighting. Video 1 is visually unappealing and messy.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Conceptual Interpretation: Nature vs. Cosmos\", \"dims\": [{\"name\": \"Cosmic Imagery Integration\", \"reason_1\": \"Video 1 attempts to show swirling motion inside the droplets, which aligns with the 'galaxy' prompt, but the execution is too poor to be effective.\", \"reason_2\": \"Video 2 relies on lighting and background bokeh to suggest a cosmic atmosphere, rather than literal galaxies inside droplets.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Fusion of Elements\", \"reason_1\": \"Fails to fuse the elements; the result looks like a corrupted video file rather than a magical transformation.\", \"reason_2\": \"Successfully fuses the concept of a spider web with a celestial, magical mood.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Interpretive Elegance\", \"reason_1\": \"The interpretation is literal but technically broken, resulting in a jarring experience.\", \"reason_2\": \"The interpretation is subtle and artistic, prioritizing beauty over literal instruction following.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"While Video 1 attempts the literal 'swirling galaxies' inside droplets, the result is unrecognizable. Video 2 interprets the prompt more atmospherically, creating a 'cosmic' feel through lighting and background, which is far more successful.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, stability, and aesthetic beauty. It successfully renders a photorealistic macro shot of a spider web with water droplets and captures the requested 'ethereal' and 'dimly lit' atmosphere perfectly. While it misses the specific 'transformation' action (remaining largely static), Video 1's attempt at the transformation results in severe visual distortion, morphing artifacts, and a lack of structural coherence, making it visually unusable compared to the polished output of Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a mesmerizing macro view, delicate water droplets cling to a spider's web, each droplet shimmering like a tiny universe. As the camera zooms in, the droplets begin to transform, revealing swirling galaxies within, with stars twinkling and spiraling in cosmic dance. The web, intricately woven, serves as a celestial canvas, its strands glistening like silken threads of the cosmos. The dimly lit background enhances the ethereal glow of the galaxies, casting a soft, mysterious light that accentuates the delicate beauty of this otherworldly transformation. The scene captures the enchanting fusion of nature and the universe in a breathtaking display.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Fidelity (Web & Droplets)", "reason_1": "Video 1 renders the web as a chaotic, blurry mesh and the droplets as dark, undefined blobs.", "reason_2": "Video 2 renders a highly detailed, realistic spider web with distinct, clear water droplets.", "score_1": 1, "score_2": 9}, {"name": "Action Adherence (Zoom & Transformation)", "reason_1": "Video 1 attempts the requested camera zoom and dynamic changes, although the execution is technically flawed.", "reason_2": "Video 2 is essentially a static shot and fails to execute the requested 'zoom in' or 'transformation' sequence.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Ethereal & Dim)", "reason_1": "Video 1 has a muddy, brownish color palette that lacks the requested ethereal or mysterious quality.", "reason_2": "Video 2 perfectly captures the 'dimly lit,' 'ethereal glow,' and 'mysterious light' described in the prompt.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 accurately depicts the primary subjects (web, droplets) and the atmospheric requirements (ethereal, dimly lit). Video 1 fails to render a recognizable web or realistic droplets, despite attempting the camera movement.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Clarity", "reason_1": "The video is extremely blurry, pixelated, and lacks any definition.", "reason_2": "The image is crisp, sharp, and high-resolution, suitable for a macro shot.", "score_1": 0, "score_2": 10}, {"name": "Morphological Stability", "reason_1": "The web and droplets constantly morph, melt, and distort in a hallucinatory manner.", "reason_2": "The web structure and droplets remain solid and consistent throughout the clip.", "score_1": 0, "score_2": 10}, {"name": "Physics & Material Realism", "reason_1": "The droplets behave like viscous sludge or digital noise rather than water.", "reason_2": "The water droplets exhibit realistic surface tension and light refraction.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 demonstrates professional-grade visual quality with perfect stability. Video 1 suffers from severe artifacts, blurring, and temporal incoherence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The visual experience is unpleasant due to the heavy distortion and lack of clarity.", "reason_2": "The composition is beautiful, balanced, and visually engaging.", "score_1": 1, "score_2": 9}, {"name": "Lighting & Color Harmony", "reason_1": "Lighting is flat and colors are muddy and unappealing.", "reason_2": "Uses a sophisticated color palette with soft purples and warm highlights that enhance the 'cosmic' feel.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is chaotic and the subject is often obscured by blur.", "reason_2": "The web is centered and framed well to show the intricate details.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 presents a beautiful, wallpaper-worthy composition with excellent lighting. Video 1 is visually unappealing and messy.", "cat_winner": "Video 2"}, {"name": "D. Conceptual Interpretation: Nature vs. Cosmos", "dims": [{"name": "Cosmic Imagery Integration", "reason_1": "Video 1 attempts to show swirling motion inside the droplets, which aligns with the 'galaxy' prompt, but the execution is too poor to be effective.", "reason_2": "Video 2 relies on lighting and background bokeh to suggest a cosmic atmosphere, rather than literal galaxies inside droplets.", "score_1": 6, "score_2": 4}, {"name": "Fusion of Elements", "reason_1": "Fails to fuse the elements; the result looks like a corrupted video file rather than a magical transformation.", "reason_2": "Successfully fuses the concept of a spider web with a celestial, magical mood.", "score_1": 2, "score_2": 8}, {"name": "Interpretive Elegance", "reason_1": "The interpretation is literal but technically broken, resulting in a jarring experience.", "reason_2": "The interpretation is subtle and artistic, prioritizing beauty over literal instruction following.", "score_1": 2, "score_2": 8}], "cat_reason": "While Video 1 attempts the literal 'swirling galaxies' inside droplets, the result is unrecognizable. Video 2 interprets the prompt more atmospherically, creating a 'cosmic' feel through lighting and background, which is far more successful.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, stability, and aesthetic beauty. It successfully renders a photorealistic macro shot of a spider web with water droplets and captures the requested 'ethereal' and 'dimly lit' atmosphere perfectly. While it misses the specific 'transformation' action (remaining largely static), Video 1's attempt at the transformation results in severe visual distortion, morphing artifacts, and a lack of structural coherence, making it visually unusable compared to the polished output of Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 95.0, "elapsed_sec": 70.04} +{"pair_id": "097_seed_310", "sample_index": 97, "seed": 310, "prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_310_An aerial view reveals an expansive field of vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_310_An aerial view reveals an expansive field of vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_310_An aerial view reveals an expansive field of vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_310_An aerial view reveals an expansive field of vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Perspective (Aerial vs. Ground)\", \"reason_1\": \"Video 1 provides a clear aerial/high-angle view that reveals the 'expansive field' as requested.\", \"reason_2\": \"Video 2 presents a low-angle, close-up shot that fails to convey the scale or the 'aerial' perspective required.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Dynamic Motion Fidelity (Wave-like Sway)\", \"reason_1\": \"Video 1 successfully renders the 'wave-like motion' across the landscape, creating the requested rhythmic effect.\", \"reason_2\": \"Video 2 shows generic swaying of individual flowers but lacks the collective, mesmerizing wave pattern described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Lighting (Golden Glow)\", \"reason_1\": \"Video 1 features a distinct sun source and a warm, golden atmospheric glow that permeates the scene.\", \"reason_2\": \"Video 2 has a flatter lighting profile with less distinct directional sunlight or golden atmospheric effects.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 correctly interprets the spatial and dynamic requirements of the prompt, whereas Video 2 fails to provide the requested aerial perspective and specific motion patterns.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Clarity & Texture Definition\", \"reason_1\": \"The flowers and foliage in Video 1 are rendered with sharp definition, allowing the viewer to see the 'tapestry' of color clearly.\", \"reason_2\": \"Video 2 suffers from significant blurriness and lack of focus, making the individual flowers appear indistinct and muddy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"The camera movement in Video 1 is smooth and consistent, simulating a professional glide.\", \"reason_2\": \"Video 2 exhibits some jitter and lack of temporal stability in the movement of the plants.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Vibrancy & Contrast\", \"reason_1\": \"Video 1 delivers the 'vibrant pink' and 'lush green' with high contrast and saturation.\", \"reason_2\": \"The colors in Video 2 are washed out and lack the vibrancy requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual clarity and smooth motion, while Video 2 suffers from blurriness and lower definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Scale & Composition\", \"reason_1\": \"Video 1 utilizes a wide composition that effectively communicates the vastness of the landscape.\", \"reason_2\": \"Video 2 uses a tight, claustrophobic framing that fails to capture the grandeur of the scene.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Mood (Dreamlike Quality)\", \"reason_1\": \"The combination of lighting, color, and motion in Video 1 successfully evokes the 'dreamlike' and 'tranquil' mood.\", \"reason_2\": \"Video 2 feels more like raw, unpolished footage and fails to establish a specific emotional atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Intent (Gliding)\", \"reason_1\": \"The camera in Video 1 glides horizontally over the field, matching the prompt's instruction perfectly.\", \"reason_2\": \"The camera in Video 2 moves erratically and lacks the smooth, gliding quality described.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'dreamlike' and 'serene' aesthetic through superior composition and lighting, whereas Video 2 feels like a generic, lower-quality clip.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the 'aerial view' and 'expansive field' constraints, successfully rendering the specific 'wave-like motion' of the flowers requested in the prompt. Video 2 fails the perspective requirement, presenting a low-angle, close-up shot that lacks the requested scale and specific dynamic movement.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Perspective (Aerial vs. Ground)", "reason_1": "Video 1 provides a clear aerial/high-angle view that reveals the 'expansive field' as requested.", "reason_2": "Video 2 presents a low-angle, close-up shot that fails to convey the scale or the 'aerial' perspective required.", "score_1": 9, "score_2": 1}, {"name": "Dynamic Motion Fidelity (Wave-like Sway)", "reason_1": "Video 1 successfully renders the 'wave-like motion' across the landscape, creating the requested rhythmic effect.", "reason_2": "Video 2 shows generic swaying of individual flowers but lacks the collective, mesmerizing wave pattern described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Environmental Lighting (Golden Glow)", "reason_1": "Video 1 features a distinct sun source and a warm, golden atmospheric glow that permeates the scene.", "reason_2": "Video 2 has a flatter lighting profile with less distinct directional sunlight or golden atmospheric effects.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 correctly interprets the spatial and dynamic requirements of the prompt, whereas Video 2 fails to provide the requested aerial perspective and specific motion patterns.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Clarity & Texture Definition", "reason_1": "The flowers and foliage in Video 1 are rendered with sharp definition, allowing the viewer to see the 'tapestry' of color clearly.", "reason_2": "Video 2 suffers from significant blurriness and lack of focus, making the individual flowers appear indistinct and muddy.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Stability", "reason_1": "The camera movement in Video 1 is smooth and consistent, simulating a professional glide.", "reason_2": "Video 2 exhibits some jitter and lack of temporal stability in the movement of the plants.", "score_1": 7, "score_2": 3}, {"name": "Color Vibrancy & Contrast", "reason_1": "Video 1 delivers the 'vibrant pink' and 'lush green' with high contrast and saturation.", "reason_2": "The colors in Video 2 are washed out and lack the vibrancy requested by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual clarity and smooth motion, while Video 2 suffers from blurriness and lower definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Scale & Composition", "reason_1": "Video 1 utilizes a wide composition that effectively communicates the vastness of the landscape.", "reason_2": "Video 2 uses a tight, claustrophobic framing that fails to capture the grandeur of the scene.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Mood (Dreamlike Quality)", "reason_1": "The combination of lighting, color, and motion in Video 1 successfully evokes the 'dreamlike' and 'tranquil' mood.", "reason_2": "Video 2 feels more like raw, unpolished footage and fails to establish a specific emotional atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Intent (Gliding)", "reason_1": "The camera in Video 1 glides horizontally over the field, matching the prompt's instruction perfectly.", "reason_2": "The camera in Video 2 moves erratically and lacks the smooth, gliding quality described.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'dreamlike' and 'serene' aesthetic through superior composition and lighting, whereas Video 2 feels like a generic, lower-quality clip.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the 'aerial view' and 'expansive field' constraints, successfully rendering the specific 'wave-like motion' of the flowers requested in the prompt. Video 2 fails the perspective requirement, presenting a low-angle, close-up shot that lacks the requested scale and specific dynamic movement.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 54.964} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4_summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9d2425eac90b826d4f657ca781169f5c670f59d0 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4_summary.json @@ -0,0 +1,31 @@ +{ + "total": 37, + "success": 37, + "counts": { + "yw002-1-sage-baseline": 24, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 13, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.6486486486486487, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.35135135135135137 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.6486486486486487, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.35135135135135137 + }, + "latency_sec": { + "mean": 58.988567567567564, + "median": 57.961, + "min": 52.022, + "max": 71.177 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_4.jsonl", + "shard_count": 8, + "shard_index": 4 +} \ No newline at end of file diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5.jsonl b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca5ec388185207d5cab58d1579c9c9077fbf00e4 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5.jsonl @@ -0,0 +1,37 @@ +{"pair_id": "001_seed_930", "sample_index": 1, "seed": 930, "prompt": "A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_001_seed_930_A polished metal ball gleaming under soft ambient.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_930_A polished metal ball gleaming under soft ambient.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_001_seed_930_A polished metal ball gleaming under soft ambient.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_001_seed_930_A polished metal ball gleaming under soft ambient.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Journey & Motion)\", \"reason_1\": \"Video 1 is essentially a static shot with minor jitter; the ball does not travel across the table, failing the 'journey' and 'glides effortlessly' instruction.\", \"reason_2\": \"Video 2 depicts a clear, smooth rolling motion across the surface, perfectly aligning with the prompt's description of a journey and effortless glide.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Reflection (Room Decor)\", \"reason_1\": \"The reflections in Video 1 are generic and indistinct, failing to offer the 'fleeting glimpses of the room's decor' requested.\", \"reason_2\": \"Video 2 clearly reflects a room environment (windows, plants, furniture) on the ball's surface, satisfying the requirement for environmental mirroring.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attributes (Polished Metal)\", \"reason_1\": \"Video 1 renders a metallic ball, but the texture appears slightly duller and less 'polished' compared to the prompt's demand for gleaming.\", \"reason_2\": \"Video 2 renders a highly polished, chrome-like surface that gleams effectively under the lighting, matching the 'polished metal' description better.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the 'journey' and 'gliding' motion described, whereas Video 1 fails to show significant movement. Video 2 also captures the environmental context in the reflections much better.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Physical Plausibility (Rolling Physics)\", \"reason_1\": \"The ball in Video 1 lacks momentum and friction logic; it vibrates in place rather than rolling, breaking physical immersion.\", \"reason_2\": \"Video 2 exhibits realistic rolling physics, with appropriate speed, momentum, and interaction with the table surface.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is somewhat soft and lacks the crisp definition expected of a 'sleek' scene.\", \"reason_2\": \"The video is sharp, with high-resolution details visible in both the wood grain and the metallic reflections.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Temporal Stability (Background)\", \"reason_1\": \"The background in Video 1 exhibits slight flickering and noise, distracting from the realism.\", \"reason_2\": \"The background remains stable and consistent throughout the camera movement, maintaining a solid sense of space.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior physics, resolution, and temporal stability. Video 1 suffers from a lack of physical plausibility in the ball's movement and lower overall image clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Gleam & Shadow)\", \"reason_1\": \"The lighting is flat and does not create the 'mesmerizing dance of light and shadow' described.\", \"reason_2\": \"The lighting is dynamic, creating strong highlights and reflections that enhance the 'gleaming' aesthetic of the metal ball.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Depth\", \"reason_1\": \"The composition is flat with a plain background that adds little aesthetic value.\", \"reason_2\": \"The use of depth of field and the angle of the table creates a more cinematic and visually engaging composition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video feels like a low-effort generation with minimal visual interest.\", \"reason_2\": \"The video is visually captivating, effectively conveying the 'serene, captivating atmosphere' through high-quality rendering.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 creates a much more engaging and atmospheric scene through better lighting, depth of field, and composition, fulfilling the 'mesmerizing' and 'captivating' descriptors.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully executes the core action of the prompt—the ball actually rolling across the table with realistic physics and momentum. It also features high-fidelity reflections that accurately mirror the room's decor, creating the requested 'mesmerizing dance of light.' Video 1, by contrast, is largely static with minimal movement, failing to depict the 'journey' or the 'gliding' motion, and lacks the visual clarity and environmental detail found in Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A polished metal ball, gleaming under soft ambient lighting, begins its journey across a sleek, dark wooden tabletop. The camera remains fixed, capturing the ball's smooth, deliberate motion as it glides effortlessly, reflecting the room's subtle hues. The tabletop's surface, impeccably smooth, allows the ball to maintain a steady, unbroken path, creating a mesmerizing dance of light and shadow. As the ball rolls, its metallic surface mirrors the surroundings, offering fleeting glimpses of the room's decor. The gentle sound of the ball's movement adds a rhythmic element, enhancing the serene, captivating atmosphere of the scene.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Journey & Motion)", "reason_1": "Video 1 is essentially a static shot with minor jitter; the ball does not travel across the table, failing the 'journey' and 'glides effortlessly' instruction.", "reason_2": "Video 2 depicts a clear, smooth rolling motion across the surface, perfectly aligning with the prompt's description of a journey and effortless glide.", "score_1": 1, "score_2": 9}, {"name": "Environmental Reflection (Room Decor)", "reason_1": "The reflections in Video 1 are generic and indistinct, failing to offer the 'fleeting glimpses of the room's decor' requested.", "reason_2": "Video 2 clearly reflects a room environment (windows, plants, furniture) on the ball's surface, satisfying the requirement for environmental mirroring.", "score_1": 2, "score_2": 8}, {"name": "Subject Attributes (Polished Metal)", "reason_1": "Video 1 renders a metallic ball, but the texture appears slightly duller and less 'polished' compared to the prompt's demand for gleaming.", "reason_2": "Video 2 renders a highly polished, chrome-like surface that gleams effectively under the lighting, matching the 'polished metal' description better.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the 'journey' and 'gliding' motion described, whereas Video 1 fails to show significant movement. Video 2 also captures the environmental context in the reflections much better.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Physical Plausibility (Rolling Physics)", "reason_1": "The ball in Video 1 lacks momentum and friction logic; it vibrates in place rather than rolling, breaking physical immersion.", "reason_2": "Video 2 exhibits realistic rolling physics, with appropriate speed, momentum, and interaction with the table surface.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is somewhat soft and lacks the crisp definition expected of a 'sleek' scene.", "reason_2": "The video is sharp, with high-resolution details visible in both the wood grain and the metallic reflections.", "score_1": 3, "score_2": 7}, {"name": "Temporal Stability (Background)", "reason_1": "The background in Video 1 exhibits slight flickering and noise, distracting from the realism.", "reason_2": "The background remains stable and consistent throughout the camera movement, maintaining a solid sense of space.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior physics, resolution, and temporal stability. Video 1 suffers from a lack of physical plausibility in the ball's movement and lower overall image clarity.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Gleam & Shadow)", "reason_1": "The lighting is flat and does not create the 'mesmerizing dance of light and shadow' described.", "reason_2": "The lighting is dynamic, creating strong highlights and reflections that enhance the 'gleaming' aesthetic of the metal ball.", "score_1": 3, "score_2": 7}, {"name": "Composition & Depth", "reason_1": "The composition is flat with a plain background that adds little aesthetic value.", "reason_2": "The use of depth of field and the angle of the table creates a more cinematic and visually engaging composition.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video feels like a low-effort generation with minimal visual interest.", "reason_2": "The video is visually captivating, effectively conveying the 'serene, captivating atmosphere' through high-quality rendering.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 creates a much more engaging and atmospheric scene through better lighting, depth of field, and composition, fulfilling the 'mesmerizing' and 'captivating' descriptors.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully executes the core action of the prompt—the ball actually rolling across the table with realistic physics and momentum. It also features high-fidelity reflections that accurately mirror the room's decor, creating the requested 'mesmerizing dance of light.' Video 1, by contrast, is largely static with minimal movement, failing to depict the 'journey' or the 'gliding' motion, and lacks the visual clarity and environmental detail found in Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 62.781} +{"pair_id": "004_seed_310", "sample_index": 4, "seed": 310, "prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_004_seed_310_In a sunlit garden a young boy with tousled hair a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_310_In a sunlit garden a young boy with tousled hair a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_310_In a sunlit garden a young boy with tousled hair a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_004_seed_310_In a sunlit garden a young boy with tousled hair a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Gentle Stroking)\", \"reason_1\": \"The interaction is chaotic; the boy's hand appears to merge with the dog's face rather than gently stroking it.\", \"reason_2\": \"The video clearly depicts the boy's hand gently stroking the dog's head, aligning perfectly with the prompt's instruction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The dog's anatomy is severely compromised; the snout and eyes distort and melt, losing their structural integrity.\", \"reason_2\": \"Both the boy and the dog maintain logical anatomical structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Emotional Tone (Serene vs. Chaotic)\", \"reason_1\": \"The visual distortions create a disturbing, almost horror-like atmosphere, completely failing the 'serene' requirement.\", \"reason_2\": \"The video successfully conveys a peaceful, heartwarming mood consistent with the prompt.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 accurately depicts the specific action of 'gently stroking' and maintains the 'serene' mood. Video 1 fails the action requirement due to chaotic motion and anatomical errors.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Dog's Face)\", \"reason_1\": \"The dog's face suffers from extreme morphing, with eyes and snout shifting shape and position unnaturally.\", \"reason_2\": \"The dog's features remain consistent and solid throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Interaction Physics (Hand/Fur Contact)\", \"reason_1\": \"The hand and the dog's fur blend together like liquid, lacking physical solidity.\", \"reason_2\": \"The contact between the hand and the fur is rendered with reasonable physical plausibility.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Artifact Control\", \"reason_1\": \"The video contains significant blurring and distortion artifacts around the area of interaction.\", \"reason_2\": \"The image remains sharp and clear with minimal generation artifacts.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior stability and realism. Video 1 is plagued by severe morphing artifacts and physics failures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Resonance (Heartwarming)\", \"reason_1\": \"The uncanny valley effect caused by the melting dog face destroys any potential for a heartwarming feeling.\", \"reason_2\": \"The gentle interaction and bright lighting successfully evoke the feeling of friendship and affection.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable, but the chaotic movement makes the composition feel unbalanced.\", \"reason_2\": \"The close-up framing effectively focuses on the bond between the boy and the dog.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unpleasant due to the severe distortions.\", \"reason_2\": \"The video is aesthetically pleasing, with good lighting and a coherent style.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 succeeds in creating a pleasing, heartwarming visual narrative. Video 1 is visually jarring and aesthetically broken due to the glitches.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully renders a coherent, stable, and heartwarming interaction that aligns with the prompt's request for a 'serene' moment. Video 1 suffers from catastrophic morphological failure, where the dog's face melts and distorts significantly, and the interaction resembles a glitchy collision rather than a gentle stroke, completely failing to convey the intended emotion.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Gentle Stroking)", "reason_1": "The interaction is chaotic; the boy's hand appears to merge with the dog's face rather than gently stroking it.", "reason_2": "The video clearly depicts the boy's hand gently stroking the dog's head, aligning perfectly with the prompt's instruction.", "score_1": 2, "score_2": 8}, {"name": "Subject Anatomical Logic", "reason_1": "The dog's anatomy is severely compromised; the snout and eyes distort and melt, losing their structural integrity.", "reason_2": "Both the boy and the dog maintain logical anatomical structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Emotional Tone (Serene vs. Chaotic)", "reason_1": "The visual distortions create a disturbing, almost horror-like atmosphere, completely failing the 'serene' requirement.", "reason_2": "The video successfully conveys a peaceful, heartwarming mood consistent with the prompt.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 accurately depicts the specific action of 'gently stroking' and maintains the 'serene' mood. Video 1 fails the action requirement due to chaotic motion and anatomical errors.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Dog's Face)", "reason_1": "The dog's face suffers from extreme morphing, with eyes and snout shifting shape and position unnaturally.", "reason_2": "The dog's features remain consistent and solid throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Interaction Physics (Hand/Fur Contact)", "reason_1": "The hand and the dog's fur blend together like liquid, lacking physical solidity.", "reason_2": "The contact between the hand and the fur is rendered with reasonable physical plausibility.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Artifact Control", "reason_1": "The video contains significant blurring and distortion artifacts around the area of interaction.", "reason_2": "The image remains sharp and clear with minimal generation artifacts.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior stability and realism. Video 1 is plagued by severe morphing artifacts and physics failures.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Resonance (Heartwarming)", "reason_1": "The uncanny valley effect caused by the melting dog face destroys any potential for a heartwarming feeling.", "reason_2": "The gentle interaction and bright lighting successfully evoke the feeling of friendship and affection.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable, but the chaotic movement makes the composition feel unbalanced.", "reason_2": "The close-up framing effectively focuses on the bond between the boy and the dog.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unpleasant due to the severe distortions.", "reason_2": "The video is aesthetically pleasing, with good lighting and a coherent style.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 succeeds in creating a pleasing, heartwarming visual narrative. Video 1 is visually jarring and aesthetically broken due to the glitches.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully renders a coherent, stable, and heartwarming interaction that aligns with the prompt's request for a 'serene' moment. Video 1 suffers from catastrophic morphological failure, where the dog's face melts and distorts significantly, and the interaction resembles a glitchy collision rather than a gentle stroke, completely failing to convey the intended emotion.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 17.0, "total_score_2": 73.0, "elapsed_sec": 54.256} +{"pair_id": "007_seed_42", "sample_index": 7, "seed": 42, "prompt": "A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_42_A sleek black car glides smoothly along a winding.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Sleekness & Polish)\", \"reason_1\": \"The car in Video 1 is distorted, with a warped roofline and inconsistent geometry that fails to meet the 'sleek' and 'aerodynamic' criteria.\", \"reason_2\": \"Video 2 renders a highly realistic, sleek black sedan with a polished surface that perfectly matches the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Coastal & Ocean)\", \"reason_1\": \"Video 1 clearly displays the ocean and waves crashing against the cliffs, fulfilling the specific environmental backdrop requirement.\", \"reason_2\": \"Video 2 focuses heavily on the cliffside road; while the setting is correct, the ocean and waves are largely out of frame or obscured.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Reflection Specificity\", \"reason_1\": \"Video 1 has flat lighting with minimal interaction between the environment and the car's surface.\", \"reason_2\": \"Video 2 successfully captures the 'golden glow' and 'subtle reflections' of the landscape on the car's glossy exterior as requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"While Video 1 captures the ocean backdrop more explicitly, Video 2 vastly outperforms in rendering the primary subject (the car) and the specific lighting attributes requested.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Car Geometry)\", \"reason_1\": \"The car in Video 1 suffers from severe warping; the roof changes shape, and the wheels distort significantly during motion.\", \"reason_2\": \"Video 2 maintains excellent structural integrity of the car throughout the clip, with only minor motion blur on the wheels.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Physical Plausibility (Motion & Weight)\", \"reason_1\": \"The car in Video 1 appears to slide or float over the road rather than drive on it, lacking a sense of weight or friction.\", \"reason_2\": \"Video 2 conveys a realistic sense of momentum and weight as the car navigates the curve, adhering to physical laws.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The textures in Video 1 are muddy and low-resolution, particularly on the road surface and the car's body.\", \"reason_2\": \"Video 2 features high-definition textures, sharp details on the cliff face, and realistic material rendering on the vehicle.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is technically superior in every aspect, maintaining a solid subject and realistic motion, whereas Video 1 breaks down with significant artifacts and warping.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Tracking & Camera Work\", \"reason_1\": \"The camera movement in Video 1 is somewhat jerky and lacks the smooth 'tracking' feel requested.\", \"reason_2\": \"Video 2 executes a smooth tracking shot that follows the car's movement effectively, enhancing the sense of speed.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Tone (Golden Glow)\", \"reason_1\": \"The lighting in Video 1 is generic daylight and lacks the specific 'golden' atmospheric quality.\", \"reason_2\": \"Video 2 beautifully renders the warm, golden sunlight hitting the cliffs and the car, establishing the desired mood.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Due to the distortion and lower quality, Video 1 is visually unappealing and breaks immersion.\", \"reason_2\": \"Video 2 looks like a professional automotive commercial, offering a highly pleasing and immersive visual experience.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 delivers a cinematic, commercial-grade shot that evokes the requested mood of freedom and adventure, while Video 1 feels like a low-quality generation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates superior visual fidelity, maintaining the structural integrity of the car and realistic lighting effects that align perfectly with the 'golden glow' and 'polished surface' descriptions. Video 1 suffers from severe morphological distortion of the vehicle and lacks the photorealistic quality required.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Sleekness & Polish)", "reason_1": "The car in Video 1 is distorted, with a warped roofline and inconsistent geometry that fails to meet the 'sleek' and 'aerodynamic' criteria.", "reason_2": "Video 2 renders a highly realistic, sleek black sedan with a polished surface that perfectly matches the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Coastal & Ocean)", "reason_1": "Video 1 clearly displays the ocean and waves crashing against the cliffs, fulfilling the specific environmental backdrop requirement.", "reason_2": "Video 2 focuses heavily on the cliffside road; while the setting is correct, the ocean and waves are largely out of frame or obscured.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Reflection Specificity", "reason_1": "Video 1 has flat lighting with minimal interaction between the environment and the car's surface.", "reason_2": "Video 2 successfully captures the 'golden glow' and 'subtle reflections' of the landscape on the car's glossy exterior as requested.", "score_1": 3, "score_2": 7}], "cat_reason": "While Video 1 captures the ocean backdrop more explicitly, Video 2 vastly outperforms in rendering the primary subject (the car) and the specific lighting attributes requested.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Car Geometry)", "reason_1": "The car in Video 1 suffers from severe warping; the roof changes shape, and the wheels distort significantly during motion.", "reason_2": "Video 2 maintains excellent structural integrity of the car throughout the clip, with only minor motion blur on the wheels.", "score_1": 1, "score_2": 9}, {"name": "Physical Plausibility (Motion & Weight)", "reason_1": "The car in Video 1 appears to slide or float over the road rather than drive on it, lacking a sense of weight or friction.", "reason_2": "Video 2 conveys a realistic sense of momentum and weight as the car navigates the curve, adhering to physical laws.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Texture Resolution", "reason_1": "The textures in Video 1 are muddy and low-resolution, particularly on the road surface and the car's body.", "reason_2": "Video 2 features high-definition textures, sharp details on the cliff face, and realistic material rendering on the vehicle.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is technically superior in every aspect, maintaining a solid subject and realistic motion, whereas Video 1 breaks down with significant artifacts and warping.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Tracking & Camera Work", "reason_1": "The camera movement in Video 1 is somewhat jerky and lacks the smooth 'tracking' feel requested.", "reason_2": "Video 2 executes a smooth tracking shot that follows the car's movement effectively, enhancing the sense of speed.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Tone (Golden Glow)", "reason_1": "The lighting in Video 1 is generic daylight and lacks the specific 'golden' atmospheric quality.", "reason_2": "Video 2 beautifully renders the warm, golden sunlight hitting the cliffs and the car, establishing the desired mood.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "Due to the distortion and lower quality, Video 1 is visually unappealing and breaks immersion.", "reason_2": "Video 2 looks like a professional automotive commercial, offering a highly pleasing and immersive visual experience.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 delivers a cinematic, commercial-grade shot that evokes the requested mood of freedom and adventure, while Video 1 feels like a low-quality generation.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates superior visual fidelity, maintaining the structural integrity of the car and realistic lighting effects that align perfectly with the 'golden glow' and 'polished surface' descriptions. Video 1 suffers from severe morphological distortion of the vehicle and lacks the photorealistic quality required.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 55.365} +{"pair_id": "009_seed_930", "sample_index": 9, "seed": 930, "prompt": "From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_009_seed_930_From a high vantage point the bustling street belo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_930_From a high vantage point the bustling street belo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_009_seed_930_From a high vantage point the bustling street belo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_009_seed_930_From a high vantage point the bustling street belo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Perspective (High Vantage Point)\", \"reason_1\": \"Video 1 completely ignores the 'high vantage point' instruction, presenting a ground-level, eye-level shot.\", \"reason_2\": \"Video 2 correctly utilizes a high-angle, surveillance-style perspective looking down on the avenue, matching the prompt perfectly.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Separation & Role Logic\", \"reason_1\": \"Video 1 conflates the 'cyclist' and 'saxophone player' into a single, illogical subject (a man riding a bike while playing a saxophone).\", \"reason_2\": \"Video 2 successfully generates distinct entities: a cyclist riding a bike and a separate pedestrian playing the saxophone, as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting (Sunlight & Shadows)\", \"reason_1\": \"Video 1 features flat, diffuse lighting with no distinct shadows, failing to capture the 'bright lighting' and 'sharp shadows' requested.\", \"reason_2\": \"Video 2 renders strong, directional sunlight that casts the 'sharp shadows' explicitly requested in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Key Attribute Presence (Red Coat/Suit)\", \"reason_1\": \"Video 1 features the woman in the red coat very prominently in the foreground, making the attribute very clear.\", \"reason_2\": \"Video 2 includes the red coat and suit, but they are smaller in the frame due to the distance, making them slightly less focal than in Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 followed the prompt's structural and environmental instructions almost perfectly, whereas Video 1 failed on the camera angle and the logical separation of subjects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Morphological Stability\", \"reason_1\": \"The saxophone in Video 1 is heavily distorted, appearing to melt into the rider's face and the bicycle handlebars.\", \"reason_2\": \"The objects in Video 2 (bicycle, saxophone, pedestrians) maintain their shape and rigidity throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The movement in Video 1 feels floaty, and the interaction between the rider and the bike is physically impossible.\", \"reason_2\": \"Video 2 displays realistic walking gaits and cycling motion, with subjects properly grounded on the pavement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Texture\", \"reason_1\": \"Video 1 has a blurry, painterly quality that lacks definition.\", \"reason_2\": \"Video 2 has a sharper, more photorealistic look, resembling actual footage.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains high stability and realism, while Video 1 suffers from severe morphological hallucinations and physics failures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Golden Sunlight)\", \"reason_1\": \"The color palette in Video 1 is somewhat dull and lacks the 'golden' warmth specified.\", \"reason_2\": \"Video 2 captures the warm, golden hues of sunlight effectively, enhancing the aesthetic appeal.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Scene Composition & Scale\", \"reason_1\": \"The composition is cluttered and claustrophobic, failing to show the 'wide avenue'.\", \"reason_2\": \"The wide framing effectively conveys the scale of the 'bustling street' and the 'wide avenue'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Coherence\", \"reason_1\": \"The narrative is broken by the surreal, glitchy nature of the main subject.\", \"reason_2\": \"The video successfully tells the visual story of a busy, sunlit day in the city with diverse activities.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'essence of urban life' with a cohesive aesthetic, whereas Video 1 feels like a disjointed, glitchy generation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it strictly adheres to the spatial and lighting requirements of the prompt, specifically the 'high vantage point' and 'sharp shadows' which Video 1 completely ignores. Furthermore, Video 2 correctly separates the cyclist and the saxophone player into distinct entities, whereas Video 1 hallucinates a physically impossible scenario where a man rides a bicycle while playing a saxophone. Video 2 also demonstrates superior temporal stability and photorealism.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "From a high vantage point, the bustling street below is alive with activity, as pedestrians in colorful attire navigate the wide, sunlit avenue. The bright lighting casts sharp shadows, highlighting the diversity of people, from a woman in a red coat carrying shopping bags to a man in a business suit briskly walking. The scene captures the essence of urban life, with a cyclist weaving through the crowd and a street performer playing a lively tune on a saxophone. The vibrant energy is palpable, as the golden sunlight bathes the scene, creating a dynamic interplay of light and movement.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Perspective (High Vantage Point)", "reason_1": "Video 1 completely ignores the 'high vantage point' instruction, presenting a ground-level, eye-level shot.", "reason_2": "Video 2 correctly utilizes a high-angle, surveillance-style perspective looking down on the avenue, matching the prompt perfectly.", "score_1": 1, "score_2": 9}, {"name": "Subject Separation & Role Logic", "reason_1": "Video 1 conflates the 'cyclist' and 'saxophone player' into a single, illogical subject (a man riding a bike while playing a saxophone).", "reason_2": "Video 2 successfully generates distinct entities: a cyclist riding a bike and a separate pedestrian playing the saxophone, as requested.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting (Sunlight & Shadows)", "reason_1": "Video 1 features flat, diffuse lighting with no distinct shadows, failing to capture the 'bright lighting' and 'sharp shadows' requested.", "reason_2": "Video 2 renders strong, directional sunlight that casts the 'sharp shadows' explicitly requested in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Key Attribute Presence (Red Coat/Suit)", "reason_1": "Video 1 features the woman in the red coat very prominently in the foreground, making the attribute very clear.", "reason_2": "Video 2 includes the red coat and suit, but they are smaller in the frame due to the distance, making them slightly less focal than in Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 followed the prompt's structural and environmental instructions almost perfectly, whereas Video 1 failed on the camera angle and the logical separation of subjects.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Morphological Stability", "reason_1": "The saxophone in Video 1 is heavily distorted, appearing to melt into the rider's face and the bicycle handlebars.", "reason_2": "The objects in Video 2 (bicycle, saxophone, pedestrians) maintain their shape and rigidity throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Grounding", "reason_1": "The movement in Video 1 feels floaty, and the interaction between the rider and the bike is physically impossible.", "reason_2": "Video 2 displays realistic walking gaits and cycling motion, with subjects properly grounded on the pavement.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Texture", "reason_1": "Video 1 has a blurry, painterly quality that lacks definition.", "reason_2": "Video 2 has a sharper, more photorealistic look, resembling actual footage.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains high stability and realism, while Video 1 suffers from severe morphological hallucinations and physics failures.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Golden Sunlight)", "reason_1": "The color palette in Video 1 is somewhat dull and lacks the 'golden' warmth specified.", "reason_2": "Video 2 captures the warm, golden hues of sunlight effectively, enhancing the aesthetic appeal.", "score_1": 3, "score_2": 7}, {"name": "Scene Composition & Scale", "reason_1": "The composition is cluttered and claustrophobic, failing to show the 'wide avenue'.", "reason_2": "The wide framing effectively conveys the scale of the 'bustling street' and the 'wide avenue'.", "score_1": 2, "score_2": 8}, {"name": "Narrative Coherence", "reason_1": "The narrative is broken by the surreal, glitchy nature of the main subject.", "reason_2": "The video successfully tells the visual story of a busy, sunlit day in the city with diverse activities.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'essence of urban life' with a cohesive aesthetic, whereas Video 1 feels like a disjointed, glitchy generation.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it strictly adheres to the spatial and lighting requirements of the prompt, specifically the 'high vantage point' and 'sharp shadows' which Video 1 completely ignores. Furthermore, Video 2 correctly separates the cyclist and the saxophone player into distinct entities, whereas Video 1 hallucinates a physically impossible scenario where a man rides a bicycle while playing a saxophone. Video 2 also demonstrates superior temporal stability and photorealism.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 74.0, "elapsed_sec": 77.167} +{"pair_id": "012_seed_310", "sample_index": 12, "seed": 310, "prompt": "A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_012_seed_310_A stylish model stands confidently in front of a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_012_seed_310_A stylish model stands confidently in front of a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_012_seed_310_A stylish model stands confidently in front of a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_012_seed_310_A stylish model stands confidently in front of a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Garment Structural Logic (Buttons & Pockets)\", \"reason_1\": \"Video 1 renders a logical jacket structure with a straight button placket and correctly placed pockets.\", \"reason_2\": \"Video 2 fails significantly; the buttons are misaligned, floating, and morphing, and the pocket stitching is incoherent.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Material Texture Fidelity (Denim)\", \"reason_1\": \"The denim in Video 1 has a realistic weave, weight, and texture consistent with the prompt's request for 'intricate details'.\", \"reason_2\": \"The material in Video 2 looks like a smooth, shifting digital painting rather than actual denim fabric.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attribute Accuracy (Distressed Details)\", \"reason_1\": \"Video 1 shows subtle fading and cuff details that align with the 'well-loved' description.\", \"reason_2\": \"Video 2 attempts a distressed look but it manifests as visual noise and artifacts rather than intentional design features.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific structural elements of the jacket (buttons, pockets, collar) as described. Video 2 fails to maintain the logical structure of the garment, with buttons and pockets shifting and distorting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The jacket maintains a rigid, consistent shape throughout the video.\", \"reason_2\": \"The jacket in Video 2 constantly warps, expands, and contracts, lacking any physical solidity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined edges and clear details.\", \"reason_2\": \"The video is blurry and suffers from significant generation noise and lack of definition.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The model's movement is subtle and natural, with the fabric reacting realistically to the body.\", \"reason_2\": \"The motion is jittery and unnatural, driven by the morphing of the texture rather than physical movement.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and clarity. Video 2 is plagued by severe temporal instability, where the subject's form constantly warps and flickers.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Commercial Aesthetic Appeal\", \"reason_1\": \"The lighting and composition look like a professional fashion product showcase.\", \"reason_2\": \"The visual artifacts and warping make the video aesthetically unpleasant and unusable for commercial purposes.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Color Consistency\", \"reason_1\": \"Lighting is even and highlights the texture of the denim effectively.\", \"reason_2\": \"Lighting appears to shift randomly as the texture morphs, creating an inconsistent look.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Presentation (Poise & Confidence)\", \"reason_1\": \"The model stands with a stable, confident posture that fits the prompt.\", \"reason_2\": \"The instability of the generation distracts from the model, making the stance feel accidental rather than poised.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully evokes the 'timeless elegance' and 'chic design' requested, resembling a professional fashion clip. Video 2 lacks aesthetic appeal due to its glitchy nature.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior structural integrity and photorealism. It successfully renders a coherent denim jacket with stable buttons, pockets, and texture throughout the clip. Video 2 suffers from severe morphological instability, where the jacket's buttons, seams, and fabric texture constantly warp, flicker, and hallucinate, failing to maintain the physical logic of the garment.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Garment Structural Logic (Buttons & Pockets)", "reason_1": "Video 1 renders a logical jacket structure with a straight button placket and correctly placed pockets.", "reason_2": "Video 2 fails significantly; the buttons are misaligned, floating, and morphing, and the pocket stitching is incoherent.", "score_1": 9, "score_2": 1}, {"name": "Material Texture Fidelity (Denim)", "reason_1": "The denim in Video 1 has a realistic weave, weight, and texture consistent with the prompt's request for 'intricate details'.", "reason_2": "The material in Video 2 looks like a smooth, shifting digital painting rather than actual denim fabric.", "score_1": 8, "score_2": 2}, {"name": "Attribute Accuracy (Distressed Details)", "reason_1": "Video 1 shows subtle fading and cuff details that align with the 'well-loved' description.", "reason_2": "Video 2 attempts a distressed look but it manifests as visual noise and artifacts rather than intentional design features.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific structural elements of the jacket (buttons, pockets, collar) as described. Video 2 fails to maintain the logical structure of the garment, with buttons and pockets shifting and distorting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The jacket maintains a rigid, consistent shape throughout the video.", "reason_2": "The jacket in Video 2 constantly warps, expands, and contracts, lacking any physical solidity.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined edges and clear details.", "reason_2": "The video is blurry and suffers from significant generation noise and lack of definition.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence", "reason_1": "The model's movement is subtle and natural, with the fabric reacting realistically to the body.", "reason_2": "The motion is jittery and unnatural, driven by the morphing of the texture rather than physical movement.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and clarity. Video 2 is plagued by severe temporal instability, where the subject's form constantly warps and flickers.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Commercial Aesthetic Appeal", "reason_1": "The lighting and composition look like a professional fashion product showcase.", "reason_2": "The visual artifacts and warping make the video aesthetically unpleasant and unusable for commercial purposes.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Color Consistency", "reason_1": "Lighting is even and highlights the texture of the denim effectively.", "reason_2": "Lighting appears to shift randomly as the texture morphs, creating an inconsistent look.", "score_1": 8, "score_2": 2}, {"name": "Subject Presentation (Poise & Confidence)", "reason_1": "The model stands with a stable, confident posture that fits the prompt.", "reason_2": "The instability of the generation distracts from the model, making the stance feel accidental rather than poised.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully evokes the 'timeless elegance' and 'chic design' requested, resembling a professional fashion clip. Video 2 lacks aesthetic appeal due to its glitchy nature.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior structural integrity and photorealism. It successfully renders a coherent denim jacket with stable buttons, pockets, and texture throughout the clip. Video 2 suffers from severe morphological instability, where the jacket's buttons, seams, and fabric texture constantly warp, flicker, and hallucinate, failing to maintain the physical logic of the garment.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 51.801} +{"pair_id": "015_seed_42", "sample_index": 15, "seed": 42, "prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_42_A man in a sleek black suit and polished shoes sta.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Turn & Walk)\", \"reason_1\": \"Video 1 depicts a man walking forward continuously, completely missing the prompt's instruction to 'stand confidently' and then 'turn to his left'.\", \"reason_2\": \"Video 2 accurately depicts the subject standing, turning to his left, and then walking, matching the prompt's narrative sequence perfectly.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Attributes (Suit & Sheen)\", \"reason_1\": \"The suit in Video 1 appears dark green or teal rather than black, and the lighting is flat, failing to highlight the 'subtle sheen' requested.\", \"reason_2\": \"Video 2 renders a suit that appears black or very dark navy with realistic fabric texture and sheen, aligning better with the 'sleek' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Room & Lighting)\", \"reason_1\": \"Video 1 features a room with curtains, but the lighting is somewhat harsh and the background lacks the depth described.\", \"reason_2\": \"Video 2 captures the 'minimalist, modern room' with 'soft lighting' and 'warm glow' much more effectively, creating the requested serene atmosphere.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the specific action sequence (stand -> turn -> walk) and attribute details (sheen, lighting) much more closely than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Photorealism\", \"reason_1\": \"The video has a distinct 'AI-generated' look with lower resolution, blurry textures, and a lack of fine detail.\", \"reason_2\": \"The video is sharp, high-resolution, and indistinguishable from real footage, with excellent texture rendering on the floor and curtains.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The subject's face is heavily distorted and lacks defined features, breaking immersion.\", \"reason_2\": \"The subject maintains consistent, realistic human anatomy throughout the turn and walk.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Physics & Grounding\", \"reason_1\": \"The walking motion feels slightly floaty, with the feet not interacting convincingly with the floor.\", \"reason_2\": \"The movement is grounded and weighty; the turn and steps follow realistic physics.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates professional-grade photorealism and stability, whereas Video 1 suffers from low resolution and facial distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is awkward, often cutting off the subject's head or feet, and the camera movement feels random.\", \"reason_2\": \"The framing is cinematic, keeping the subject well-positioned and capturing the 'entire form' as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmosphere & Mood\", \"reason_1\": \"The mood is sterile and lacks the 'warm glow' and 'serene' quality requested.\", \"reason_2\": \"The lighting and color grading successfully evoke a warm, serene, and high-end atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is jittery and lacks a clear focal point.\", \"reason_2\": \"The camera executes a smooth tracking shot that complements the subject's movement.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 employs cinematic framing and lighting to create a mood that matches the prompt, while Video 1 has poor composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is superior in every category. It accurately executes the specific sequence of actions described in the prompt (standing, turning, then walking), whereas Video 1 ignores the 'stand and turn' instruction entirely. Furthermore, Video 2 achieves high-end photorealism with excellent lighting and texture, while Video 1 suffers from significant facial distortion, lower resolution, and awkward framing.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Turn & Walk)", "reason_1": "Video 1 depicts a man walking forward continuously, completely missing the prompt's instruction to 'stand confidently' and then 'turn to his left'.", "reason_2": "Video 2 accurately depicts the subject standing, turning to his left, and then walking, matching the prompt's narrative sequence perfectly.", "score_1": 1, "score_2": 9}, {"name": "Subject Attributes (Suit & Sheen)", "reason_1": "The suit in Video 1 appears dark green or teal rather than black, and the lighting is flat, failing to highlight the 'subtle sheen' requested.", "reason_2": "Video 2 renders a suit that appears black or very dark navy with realistic fabric texture and sheen, aligning better with the 'sleek' description.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Room & Lighting)", "reason_1": "Video 1 features a room with curtains, but the lighting is somewhat harsh and the background lacks the depth described.", "reason_2": "Video 2 captures the 'minimalist, modern room' with 'soft lighting' and 'warm glow' much more effectively, creating the requested serene atmosphere.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the specific action sequence (stand -> turn -> walk) and attribute details (sheen, lighting) much more closely than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Photorealism", "reason_1": "The video has a distinct 'AI-generated' look with lower resolution, blurry textures, and a lack of fine detail.", "reason_2": "The video is sharp, high-resolution, and indistinguishable from real footage, with excellent texture rendering on the floor and curtains.", "score_1": 2, "score_2": 8}, {"name": "Subject Anatomical Logic", "reason_1": "The subject's face is heavily distorted and lacks defined features, breaking immersion.", "reason_2": "The subject maintains consistent, realistic human anatomy throughout the turn and walk.", "score_1": 2, "score_2": 8}, {"name": "Motion Physics & Grounding", "reason_1": "The walking motion feels slightly floaty, with the feet not interacting convincingly with the floor.", "reason_2": "The movement is grounded and weighty; the turn and steps follow realistic physics.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates professional-grade photorealism and stability, whereas Video 1 suffers from low resolution and facial distortion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is awkward, often cutting off the subject's head or feet, and the camera movement feels random.", "reason_2": "The framing is cinematic, keeping the subject well-positioned and capturing the 'entire form' as requested.", "score_1": 2, "score_2": 8}, {"name": "Atmosphere & Mood", "reason_1": "The mood is sterile and lacks the 'warm glow' and 'serene' quality requested.", "reason_2": "The lighting and color grading successfully evoke a warm, serene, and high-end atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is jittery and lacks a clear focal point.", "reason_2": "The camera executes a smooth tracking shot that complements the subject's movement.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 employs cinematic framing and lighting to create a mood that matches the prompt, while Video 1 has poor composition.", "cat_winner": "Video 2"}], "reason": "Video 2 is superior in every category. It accurately executes the specific sequence of actions described in the prompt (standing, turning, then walking), whereas Video 1 ignores the 'stand and turn' instruction entirely. Furthermore, Video 2 achieves high-end photorealism with excellent lighting and texture, while Video 1 suffers from significant facial distortion, lower resolution, and awkward framing.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 67.0, "elapsed_sec": 56.771} +{"pair_id": "017_seed_930", "sample_index": 17, "seed": 930, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_017_seed_930_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 correctly renders the yellow raincoat, red boots, and rainbow umbrella with high clarity.\", \"reason_2\": \"Video 2 also correctly identifies and renders all key clothing and object attributes specified in the prompt.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Interaction Logic (Leash Handling)\", \"reason_1\": \"Video 1 fails the specific instruction to hold the leash in the left hand; the leash appears to be held in the right hand or is floating near the hip.\", \"reason_2\": \"Video 2 also fails the specific hand instruction, showing the leash held in the right hand rather than the left.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Bustling Street)\", \"reason_1\": \"Video 1 depicts a street with pedestrians, but the background is somewhat static and lacks the 'bustling' energy requested.\", \"reason_2\": \"Video 2 features a more dynamic background with a scooter and moving pedestrians, better capturing the 'bustling city street' requirement.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos struggle with the specific 'left hand' instruction, but Video 2 better captures the 'bustling' nature of the environment and the 'confident' walk described in the prompt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Face)\", \"reason_1\": \"Video 1 suffers from severe facial instability; the girl's features morph and distort significantly throughout the clip.\", \"reason_2\": \"Video 2 maintains a consistent facial identity for the girl throughout the duration of the video.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Locomotion Physics (Foot-Ground Contact)\", \"reason_1\": \"Video 1 exhibits significant 'moonwalking' or sliding artifacts, where the feet move across the ground without proper traction.\", \"reason_2\": \"Video 2 displays much more grounded foot placement, with the boots appearing to make solid contact with the pavement.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Object Stability (Umbrella & Leash)\", \"reason_1\": \"The umbrella in Video 1 wobbles unnaturally, and the leash physics are floaty and disconnected.\", \"reason_2\": \"The umbrella in Video 2 maintains a rigid, realistic shape, and the leash, while held in the wrong hand, has more consistent tension.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior, maintaining subject identity and physical plausibility much better than Video 1, which suffers from severe morphing and sliding.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Sun & Glow)\", \"reason_1\": \"Video 1 has flat lighting that misses the specific 'sun peeking through clouds' and 'gentle glow' description.\", \"reason_2\": \"Video 2 successfully renders the requested lighting, showing distinct highlights on the wet pavement and a warmer, sunlit atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Character Expression & Mood\", \"reason_1\": \"The girl's expression in Video 1 is inconsistent due to the morphing artifacts, detracting from the 'charming' and 'joyful' mood.\", \"reason_2\": \"Video 2 portrays a stable, smiling expression that effectively conveys the requested 'joyful' and 'innocent' demeanor.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is diminished by the distracting technical artifacts and lack of dynamic lighting.\", \"reason_2\": \"The video feels more cinematic and polished, with better color grading and a more engaging composition.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the requested mood and lighting significantly better, creating a more cohesive and visually appealing scene.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to superior temporal stability and dynamic realism. While both videos fail the specific instruction to hold the leash in the left hand, Video 2 maintains a consistent facial identity for the girl, whereas Video 1 suffers from severe facial morphing. Additionally, Video 2 accurately renders the requested lighting effects (sun peeking through clouds, wet pavement reflections) and exhibits more grounded walking physics compared to the 'sliding' motion seen in Video 1.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, walks confidently down a bustling city street, holding a vibrant rainbow umbrella. Beside her, a small, fluffy white dog trots happily, its leash held firmly in her left hand. The street is lined with colorful storefronts and bustling pedestrians, creating a lively urban backdrop. The girl's joyful expression and the dog's playful demeanor add a sense of warmth and innocence to the scene. As they walk, the sun peeks through the clouds, casting a gentle glow on the wet pavement, enhancing the vibrant colors of the cityscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 correctly renders the yellow raincoat, red boots, and rainbow umbrella with high clarity.", "reason_2": "Video 2 also correctly identifies and renders all key clothing and object attributes specified in the prompt.", "score_1": 5, "score_2": 5}, {"name": "Interaction Logic (Leash Handling)", "reason_1": "Video 1 fails the specific instruction to hold the leash in the left hand; the leash appears to be held in the right hand or is floating near the hip.", "reason_2": "Video 2 also fails the specific hand instruction, showing the leash held in the right hand rather than the left.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Bustling Street)", "reason_1": "Video 1 depicts a street with pedestrians, but the background is somewhat static and lacks the 'bustling' energy requested.", "reason_2": "Video 2 features a more dynamic background with a scooter and moving pedestrians, better capturing the 'bustling city street' requirement.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos struggle with the specific 'left hand' instruction, but Video 2 better captures the 'bustling' nature of the environment and the 'confident' walk described in the prompt.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Face)", "reason_1": "Video 1 suffers from severe facial instability; the girl's features morph and distort significantly throughout the clip.", "reason_2": "Video 2 maintains a consistent facial identity for the girl throughout the duration of the video.", "score_1": 2, "score_2": 8}, {"name": "Locomotion Physics (Foot-Ground Contact)", "reason_1": "Video 1 exhibits significant 'moonwalking' or sliding artifacts, where the feet move across the ground without proper traction.", "reason_2": "Video 2 displays much more grounded foot placement, with the boots appearing to make solid contact with the pavement.", "score_1": 3, "score_2": 7}, {"name": "Object Stability (Umbrella & Leash)", "reason_1": "The umbrella in Video 1 wobbles unnaturally, and the leash physics are floaty and disconnected.", "reason_2": "The umbrella in Video 2 maintains a rigid, realistic shape, and the leash, while held in the wrong hand, has more consistent tension.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior, maintaining subject identity and physical plausibility much better than Video 1, which suffers from severe morphing and sliding.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Sun & Glow)", "reason_1": "Video 1 has flat lighting that misses the specific 'sun peeking through clouds' and 'gentle glow' description.", "reason_2": "Video 2 successfully renders the requested lighting, showing distinct highlights on the wet pavement and a warmer, sunlit atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Character Expression & Mood", "reason_1": "The girl's expression in Video 1 is inconsistent due to the morphing artifacts, detracting from the 'charming' and 'joyful' mood.", "reason_2": "Video 2 portrays a stable, smiling expression that effectively conveys the requested 'joyful' and 'innocent' demeanor.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is diminished by the distracting technical artifacts and lack of dynamic lighting.", "reason_2": "The video feels more cinematic and polished, with better color grading and a more engaging composition.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the requested mood and lighting significantly better, creating a more cohesive and visually appealing scene.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to superior temporal stability and dynamic realism. While both videos fail the specific instruction to hold the leash in the left hand, Video 2 maintains a consistent facial identity for the girl, whereas Video 1 suffers from severe facial morphing. Additionally, Video 2 accurately renders the requested lighting effects (sun peeking through clouds, wet pavement reflections) and exhibits more grounded walking physics compared to the 'sliding' motion seen in Video 1.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 33.0, "total_score_2": 57.0, "elapsed_sec": 60.557} +{"pair_id": "020_seed_310", "sample_index": 20, "seed": 310, "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_310_On a rustic wooden bench a fluffy tabby cat with s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_310_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_310_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_310_On a rustic wooden bench a fluffy tabby cat with s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Cat & Bird)\", \"reason_1\": \"Video 1 renders a realistic tabby cat and a recognizable bluebird with correct proportions and coloring.\", \"reason_2\": \"Video 2's cat has distorted facial features and unnatural eye geometry; the bird appears generic and lacks the specific 'vibrant' detail requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Specificity (Tail Flick & Head Tilt)\", \"reason_1\": \"Video 1 clearly depicts the cat's tail twitching and the bird's head tilting, matching the prompt's specific behavioral cues.\", \"reason_2\": \"Video 2 is largely static; the cat's tail is stiff and does not flick, and the bird's movement is minimal and stiff.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Lighting (Dappled Shadows)\", \"reason_1\": \"Video 1 features natural, soft lighting with realistic shadows on the bench, consistent with sunlight filtering through leaves.\", \"reason_2\": \"Video 2 uses harsh, high-contrast lighting that feels artificial and over-saturated, missing the 'serene' dappled effect.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately captures the specific behavioral prompts (tail flick, head tilt) and subject attributes. Video 2 fails to animate the specific actions and presents a distorted cat.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Cat's Face)\", \"reason_1\": \"The cat in Video 1 maintains a solid, logical skull structure and facial features throughout the clip.\", \"reason_2\": \"The cat in Video 2 suffers from severe hallucinations; the eyes are misaligned and the snout shape morphs unnaturally.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Realism (Fur & Feathers)\", \"reason_1\": \"Video 1 displays distinct, soft fur textures and detailed feathers, reacting naturally to the light.\", \"reason_2\": \"Video 2 has a 'plastic' or 'painted' look where textures are smoothed out and lack high-frequency detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The micro-movements in Video 1 (breathing, slight shifts) feel organic and biological.\", \"reason_2\": \"The motion in Video 2 feels like a warping still image rather than true video generation.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high photorealism and anatomical consistency. Video 2 exhibits significant AI artifacts, particularly in the cat's face, and lacks texture detail.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Serene vs. Tense)\", \"reason_1\": \"Video 1 perfectly balances the peaceful garden setting with the subtle tension of the predator-prey gaze.\", \"reason_2\": \"Video 2's harsh colors and distorted subjects create an uncanny, unsettling vibe rather than a serene one.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced composition that clearly establishes the relationship between the two subjects.\", \"reason_2\": \"Video 2's framing is acceptable but the subjects feel somewhat pasted onto the background due to lighting mismatches.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Style Consistency\", \"reason_1\": \"Video 1 maintains a consistent photorealistic style throughout.\", \"reason_2\": \"Video 2 fluctuates between a 3D render look and a digital painting, lacking stylistic coherence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the 'serene yet tense' atmosphere through natural composition and lighting. Video 2 feels uncanny and artificial.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in photorealism, anatomical accuracy, and adherence to specific motion prompts. It correctly depicts the cat's tail flicking and the bird's head tilting, whereas Video 2 suffers from severe anatomical distortions (particularly the cat's face) and a lack of dynamic movement.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Cat & Bird)", "reason_1": "Video 1 renders a realistic tabby cat and a recognizable bluebird with correct proportions and coloring.", "reason_2": "Video 2's cat has distorted facial features and unnatural eye geometry; the bird appears generic and lacks the specific 'vibrant' detail requested.", "score_1": 8, "score_2": 2}, {"name": "Action Specificity (Tail Flick & Head Tilt)", "reason_1": "Video 1 clearly depicts the cat's tail twitching and the bird's head tilting, matching the prompt's specific behavioral cues.", "reason_2": "Video 2 is largely static; the cat's tail is stiff and does not flick, and the bird's movement is minimal and stiff.", "score_1": 9, "score_2": 1}, {"name": "Environmental Lighting (Dappled Shadows)", "reason_1": "Video 1 features natural, soft lighting with realistic shadows on the bench, consistent with sunlight filtering through leaves.", "reason_2": "Video 2 uses harsh, high-contrast lighting that feels artificial and over-saturated, missing the 'serene' dappled effect.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately captures the specific behavioral prompts (tail flick, head tilt) and subject attributes. Video 2 fails to animate the specific actions and presents a distorted cat.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Cat's Face)", "reason_1": "The cat in Video 1 maintains a solid, logical skull structure and facial features throughout the clip.", "reason_2": "The cat in Video 2 suffers from severe hallucinations; the eyes are misaligned and the snout shape morphs unnaturally.", "score_1": 9, "score_2": 1}, {"name": "Texture Realism (Fur & Feathers)", "reason_1": "Video 1 displays distinct, soft fur textures and detailed feathers, reacting naturally to the light.", "reason_2": "Video 2 has a 'plastic' or 'painted' look where textures are smoothed out and lack high-frequency detail.", "score_1": 8, "score_2": 2}, {"name": "Motion Naturalness", "reason_1": "The micro-movements in Video 1 (breathing, slight shifts) feel organic and biological.", "reason_2": "The motion in Video 2 feels like a warping still image rather than true video generation.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high photorealism and anatomical consistency. Video 2 exhibits significant AI artifacts, particularly in the cat's face, and lacks texture detail.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Serene vs. Tense)", "reason_1": "Video 1 perfectly balances the peaceful garden setting with the subtle tension of the predator-prey gaze.", "reason_2": "Video 2's harsh colors and distorted subjects create an uncanny, unsettling vibe rather than a serene one.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a balanced composition that clearly establishes the relationship between the two subjects.", "reason_2": "Video 2's framing is acceptable but the subjects feel somewhat pasted onto the background due to lighting mismatches.", "score_1": 7, "score_2": 3}, {"name": "Visual Style Consistency", "reason_1": "Video 1 maintains a consistent photorealistic style throughout.", "reason_2": "Video 2 fluctuates between a 3D render look and a digital painting, lacking stylistic coherence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the 'serene yet tense' atmosphere through natural composition and lighting. Video 2 feels uncanny and artificial.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in photorealism, anatomical accuracy, and adherence to specific motion prompts. It correctly depicts the cat's tail flicking and the bird's head tilting, whereas Video 2 suffers from severe anatomical distortions (particularly the cat's face) and a lack of dynamic movement.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 58.796} +{"pair_id": "023_seed_42", "sample_index": 23, "seed": 42, "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_42_A close-up reveals a lavish spread of Chinese cuis.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dish Identification & Ingredient Fidelity\", \"reason_1\": \"Video 1 clearly renders the dumplings, the colorful fried rice, and the pineapple chicken with distinct ingredients. The food looks appetizing and identifiable.\", \"reason_2\": \"Video 2 struggles significantly with the specific dishes; the 'fried rice' appears as a morphing, undefined texture, and the dumplings lack structural integrity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attribute Accuracy (Sheen, Color, Texture)\", \"reason_1\": \"Video 1 captures the 'glistening sheen' on the dumplings and the 'vibrant' colors of the vegetables and pineapple effectively.\", \"reason_2\": \"Video 2 fails to render realistic textures; the food looks plastic or muddy, and the colors are inconsistent due to generation artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Spatial Arrangement & Table Setting\", \"reason_1\": \"Video 1 maintains a logical table layout where dishes sit firmly on the surface, respecting the 'center stage' instruction for the rice.\", \"reason_2\": \"Video 2 fails spatially; objects float, merge, and shift positions illogically, breaking the illusion of a set table.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific dishes described, including the fried rice with shrimp and the pineapple chicken, maintaining their distinct identities. Video 2 attempts the dishes but fails to maintain their structural integrity, resulting in unrecognizable morphing blobs.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The subjects in Video 1 remain solid and consistent in shape throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'boiling' and morphing; the dumplings change shape, and the rice bowl contents shift liquidly in a physically impossible way.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 is sharp, with clear details on the porcelain and food textures.\", \"reason_2\": \"Video 2 is blurry and noisy, with significant loss of detail in the food items.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The camera movement in Video 1 is smooth and the parallax effect is realistic.\", \"reason_2\": \"The motion in Video 2 causes the background and foreground objects to warp and distort, violating basic physics.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is stable and clear. Video 2 is plagued by severe temporal incoherence, with objects constantly changing shape and texture.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Culinary Aesthetic Appeal\", \"reason_1\": \"The food in Video 1 looks edible, fresh, and inviting, fitting the 'lavish spread' description.\", \"reason_2\": \"The morphing and unnatural textures in Video 2 make the food look unappetizing and artificial.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Ambiance\", \"reason_1\": \"Video 1 features warm, soft lighting that enhances the food's appeal.\", \"reason_2\": \"Video 2 has flat, inconsistent lighting that fluctuates as the video progresses.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced composition that showcases the variety of dishes well.\", \"reason_2\": \"Video 2's framing is chaotic due to the shifting geometry of the table and dishes.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 succeeds in creating an inviting 'culinary feast' atmosphere through good lighting and composition. Video 2 is visually unappealing due to the distortion.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It delivers a high-fidelity, photorealistic representation of the requested dishes with excellent temporal stability. The food textures (glistening dumplings, colorful rice) are rendered accurately, and the camera movement is smooth. Video 2 suffers from severe morphological instability, where the food items morph, melt, and change shape unnaturally, destroying the realism and aesthetic appeal.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dish Identification & Ingredient Fidelity", "reason_1": "Video 1 clearly renders the dumplings, the colorful fried rice, and the pineapple chicken with distinct ingredients. The food looks appetizing and identifiable.", "reason_2": "Video 2 struggles significantly with the specific dishes; the 'fried rice' appears as a morphing, undefined texture, and the dumplings lack structural integrity.", "score_1": 8, "score_2": 2}, {"name": "Attribute Accuracy (Sheen, Color, Texture)", "reason_1": "Video 1 captures the 'glistening sheen' on the dumplings and the 'vibrant' colors of the vegetables and pineapple effectively.", "reason_2": "Video 2 fails to render realistic textures; the food looks plastic or muddy, and the colors are inconsistent due to generation artifacts.", "score_1": 9, "score_2": 1}, {"name": "Spatial Arrangement & Table Setting", "reason_1": "Video 1 maintains a logical table layout where dishes sit firmly on the surface, respecting the 'center stage' instruction for the rice.", "reason_2": "Video 2 fails spatially; objects float, merge, and shift positions illogically, breaking the illusion of a set table.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific dishes described, including the fried rice with shrimp and the pineapple chicken, maintaining their distinct identities. Video 2 attempts the dishes but fails to maintain their structural integrity, resulting in unrecognizable morphing blobs.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The subjects in Video 1 remain solid and consistent in shape throughout the clip.", "reason_2": "Video 2 exhibits severe 'boiling' and morphing; the dumplings change shape, and the rice bowl contents shift liquidly in a physically impossible way.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 is sharp, with clear details on the porcelain and food textures.", "reason_2": "Video 2 is blurry and noisy, with significant loss of detail in the food items.", "score_1": 9, "score_2": 1}, {"name": "Motion Coherence & Physics", "reason_1": "The camera movement in Video 1 is smooth and the parallax effect is realistic.", "reason_2": "The motion in Video 2 causes the background and foreground objects to warp and distort, violating basic physics.", "score_1": 9, "score_2": 1}], "cat_reason": "This is the most significant differentiator. Video 1 is stable and clear. Video 2 is plagued by severe temporal incoherence, with objects constantly changing shape and texture.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Culinary Aesthetic Appeal", "reason_1": "The food in Video 1 looks edible, fresh, and inviting, fitting the 'lavish spread' description.", "reason_2": "The morphing and unnatural textures in Video 2 make the food look unappetizing and artificial.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Ambiance", "reason_1": "Video 1 features warm, soft lighting that enhances the food's appeal.", "reason_2": "Video 2 has flat, inconsistent lighting that fluctuates as the video progresses.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 uses a balanced composition that showcases the variety of dishes well.", "reason_2": "Video 2's framing is chaotic due to the shifting geometry of the table and dishes.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 succeeds in creating an inviting 'culinary feast' atmosphere through good lighting and composition. Video 2 is visually unappealing due to the distortion.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It delivers a high-fidelity, photorealistic representation of the requested dishes with excellent temporal stability. The food textures (glistening dumplings, colorful rice) are rendered accurately, and the camera movement is smooth. Video 2 suffers from severe morphological instability, where the food items morph, melt, and change shape unnaturally, destroying the realism and aesthetic appeal.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 61.224} +{"pair_id": "025_seed_930", "sample_index": 25, "seed": 930, "prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_025_seed_930_In a sun-drenched backyard a lively group of frien.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Layout & Scene Separation\", \"reason_1\": \"Video 1 attempts to show the grill and table but fails to establish a coherent spatial relationship, resulting in a cluttered and confusing composition.\", \"reason_2\": \"Video 2 clearly distinguishes between the group at the table and the grill area, maintaining a logical backyard layout.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Integrity (Dog & Friends)\", \"reason_1\": \"Video 1 fails catastrophically here; the 'dog' appears as a distorted, floating glitch that merges with human subjects, and the friends' faces are severely deformed.\", \"reason_2\": \"Video 2 renders the friends and the dog with high fidelity and recognizable features.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Specificity (Grilling & Interaction)\", \"reason_1\": \"Video 1 attempts the specific action of 'tending the grill' (pouring), but the execution is physically impossible and visually disturbing.\", \"reason_2\": \"Video 2 depicts the social interaction and the presence of the grill well, though the specific 'tending' action is less active than implied.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully establishes the backyard setting and the group dynamic with recognizable subjects. Video 1 attempts to include all elements but fails to render them as distinct, logical entities, resulting in a confused scene.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe 'melting' effects; faces distort into nightmares, and limbs merge with objects.\", \"reason_2\": \"Subjects in Video 2 maintain their human form and facial structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Physics & Object Permanence\", \"reason_1\": \"Video 1 defies physics; a dog-like object floats in the air, and a blue disc (frisbee?) clips through the sky and subjects randomly.\", \"reason_2\": \"Objects and people in Video 2 move with relative weight and logic.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, noisy, and suffers from significant generation artifacts.\", \"reason_2\": \"The image is crisp, with well-defined textures on clothing and skin.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the deciding category. Video 2 maintains a professional level of stability, whereas Video 1 is plagued by severe artifacts, morphing, and physics violations.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Sun-drenched/Joy)\", \"reason_1\": \"The severe distortions create an eerie, uncanny valley effect that completely contradicts the intended joyful mood.\", \"reason_2\": \"Video 2 perfectly captures the 'golden sunlight' and 'effortless joy' requested, looking like a high-quality commercial.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Motion Stability\", \"reason_1\": \"The camera movement is jerky and disorienting, contributing to the overall lack of coherence.\", \"reason_2\": \"The camera pans smoothly, mimicking a professional cinematic shot.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually repulsive due to the high frequency of glitches and anatomical horrors.\", \"reason_2\": \"The video is aesthetically pleasing and coherent.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully evokes the 'perfect day' vibe with warm lighting and smooth camera work. Video 1's visual glitches create an unintentional horror aesthetic.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 delivers a high-quality, coherent, and visually pleasing interpretation of the prompt, successfully capturing the atmosphere and subjects with stability. Video 1 suffers from severe morphological collapse, terrifying anatomical distortions, and physics hallucinations (floating objects), rendering it unusable despite attempting to include more specific actions.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sun-drenched backyard, a lively group of friends in their late 20s revels in the warmth of a perfect day. The scene opens with a wide shot capturing the vibrant energy: some friends expertly tend to a sizzling grill, the aroma of barbecued delights wafting through the air. Nearby, others gather around a rustic picnic table, sharing stories and laughter, their faces illuminated by the golden sunlight. In the background, a playful couple tosses a frisbee to an eager dog, its tail wagging with joy. The camera pans to capture the camaraderie, the clinking of glasses, and the effortless joy of shared moments under the clear blue sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Layout & Scene Separation", "reason_1": "Video 1 attempts to show the grill and table but fails to establish a coherent spatial relationship, resulting in a cluttered and confusing composition.", "reason_2": "Video 2 clearly distinguishes between the group at the table and the grill area, maintaining a logical backyard layout.", "score_1": 2, "score_2": 8}, {"name": "Subject Integrity (Dog & Friends)", "reason_1": "Video 1 fails catastrophically here; the 'dog' appears as a distorted, floating glitch that merges with human subjects, and the friends' faces are severely deformed.", "reason_2": "Video 2 renders the friends and the dog with high fidelity and recognizable features.", "score_1": 1, "score_2": 9}, {"name": "Action Specificity (Grilling & Interaction)", "reason_1": "Video 1 attempts the specific action of 'tending the grill' (pouring), but the execution is physically impossible and visually disturbing.", "reason_2": "Video 2 depicts the social interaction and the presence of the grill well, though the specific 'tending' action is less active than implied.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully establishes the backyard setting and the group dynamic with recognizable subjects. Video 1 attempts to include all elements but fails to render them as distinct, logical entities, resulting in a confused scene.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe 'melting' effects; faces distort into nightmares, and limbs merge with objects.", "reason_2": "Subjects in Video 2 maintain their human form and facial structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Physics & Object Permanence", "reason_1": "Video 1 defies physics; a dog-like object floats in the air, and a blue disc (frisbee?) clips through the sky and subjects randomly.", "reason_2": "Objects and people in Video 2 move with relative weight and logic.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, noisy, and suffers from significant generation artifacts.", "reason_2": "The image is crisp, with well-defined textures on clothing and skin.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the deciding category. Video 2 maintains a professional level of stability, whereas Video 1 is plagued by severe artifacts, morphing, and physics violations.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Sun-drenched/Joy)", "reason_1": "The severe distortions create an eerie, uncanny valley effect that completely contradicts the intended joyful mood.", "reason_2": "Video 2 perfectly captures the 'golden sunlight' and 'effortless joy' requested, looking like a high-quality commercial.", "score_1": 1, "score_2": 9}, {"name": "Camera Motion Stability", "reason_1": "The camera movement is jerky and disorienting, contributing to the overall lack of coherence.", "reason_2": "The camera pans smoothly, mimicking a professional cinematic shot.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually repulsive due to the high frequency of glitches and anatomical horrors.", "reason_2": "The video is aesthetically pleasing and coherent.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully evokes the 'perfect day' vibe with warm lighting and smooth camera work. Video 1's visual glitches create an unintentional horror aesthetic.", "cat_winner": "Video 2"}], "reason": "Video 2 delivers a high-quality, coherent, and visually pleasing interpretation of the prompt, successfully capturing the atmosphere and subjects with stability. Video 1 suffers from severe morphological collapse, terrifying anatomical distortions, and physics hallucinations (floating objects), rendering it unusable despite attempting to include more specific actions.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 16.0, "total_score_2": 74.0, "elapsed_sec": 58.103} +{"pair_id": "028_seed_310", "sample_index": 28, "seed": 310, "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_310_In a sun-dappled park a lively 10-year-old African.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_310_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_310_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_310_In a sun-dappled park a lively 10-year-old African.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Girl's Appearance)\", \"reason_1\": \"Video 1 accurately depicts the girl with the requested braided hair and a distinct, colorful dress with a rainbow skirt.\", \"reason_2\": \"Video 2 fails to render the braided hair (showing pigtails instead) and the dress appears as a generic, morphing patterned bodysuit rather than a dress.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Skipping vs. Walking)\", \"reason_1\": \"Video 1 captures the 'energetic skip' and 'rhythmic pattern' of the girl's movement effectively, contrasting well with the man's stride.\", \"reason_2\": \"Video 2 shows the girl walking or running awkwardly with no distinct skipping motion, failing to capture the 'contrasting gaits' described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Cherry Blossoms)\", \"reason_1\": \"Video 1 places the subjects clearly under blooming cherry blossom trees, matching the 'sun-dappled park' setting perfectly.\", \"reason_2\": \"Video 2 features a generic green park background where the cherry blossoms are indistinct and lack prominence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 adheres strictly to the descriptive details of the prompt, particularly regarding the girl's appearance and the specific action of skipping, which Video 2 fails to execute convincingly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Form)\", \"reason_1\": \"The subjects in Video 1 maintain consistent body shapes and clothing structures throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe morphing; the girl's arms and dress texture shift and distort unnaturally with every step.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The man's face in Video 1 remains recognizable and relatively stable, though slightly stiff.\", \"reason_2\": \"The man's face in Video 2 distorts significantly, with features shifting and blurring as the camera moves.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The movement in Video 1 is fluid and grounded, with the skipping motion following a logical physical arc.\", \"reason_2\": \"The motion in Video 2 is jerky and unnatural, with the girl appearing to slide or float rather than step.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable image with consistent character identities, whereas Video 2 suffers from significant hallucinations, morphing artifacts, and facial distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Sun-dappled/Joyful)\", \"reason_1\": \"Video 1 utilizes warm lighting and vibrant colors to successfully evoke the 'joyful spontaneity' and 'sun-dappled' atmosphere.\", \"reason_2\": \"Video 2 has flatter, cooler lighting that feels less inviting and fails to capture the specific mood of the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 frames the subjects well against the background, keeping the focus on their interaction and contrasting movements.\", \"reason_2\": \"Video 2's framing is functional but the background blur and lack of depth make the composition feel cluttered and less cinematic.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Expression (Intergenerational Connection)\", \"reason_1\": \"The clear contrast between the skipping girl and the composed man in Video 1 effectively tells the story of 'youth vs. experience'.\", \"reason_2\": \"Due to the awkward motion and lack of distinct skipping, the narrative contrast is lost in Video 2.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a much more pleasing and coherent visual narrative, effectively using lighting and color to convey the requested mood.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it demonstrates superior semantic alignment and technical stability. It accurately renders the specific attributes of the girl (braids, colorful dress) and the environment (distinct cherry blossoms), while maintaining a stable visual consistency. Video 2 suffers from severe morphological instability, fails to render the girl's specific hairstyle, and lacks the distinct 'skipping' motion requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Girl's Appearance)", "reason_1": "Video 1 accurately depicts the girl with the requested braided hair and a distinct, colorful dress with a rainbow skirt.", "reason_2": "Video 2 fails to render the braided hair (showing pigtails instead) and the dress appears as a generic, morphing patterned bodysuit rather than a dress.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Skipping vs. Walking)", "reason_1": "Video 1 captures the 'energetic skip' and 'rhythmic pattern' of the girl's movement effectively, contrasting well with the man's stride.", "reason_2": "Video 2 shows the girl walking or running awkwardly with no distinct skipping motion, failing to capture the 'contrasting gaits' described.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Cherry Blossoms)", "reason_1": "Video 1 places the subjects clearly under blooming cherry blossom trees, matching the 'sun-dappled park' setting perfectly.", "reason_2": "Video 2 features a generic green park background where the cherry blossoms are indistinct and lack prominence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 adheres strictly to the descriptive details of the prompt, particularly regarding the girl's appearance and the specific action of skipping, which Video 2 fails to execute convincingly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Form)", "reason_1": "The subjects in Video 1 maintain consistent body shapes and clothing structures throughout the clip.", "reason_2": "Video 2 exhibits severe morphing; the girl's arms and dress texture shift and distort unnaturally with every step.", "score_1": 8, "score_2": 2}, {"name": "Facial Identity Persistence", "reason_1": "The man's face in Video 1 remains recognizable and relatively stable, though slightly stiff.", "reason_2": "The man's face in Video 2 distorts significantly, with features shifting and blurring as the camera moves.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Physics", "reason_1": "The movement in Video 1 is fluid and grounded, with the skipping motion following a logical physical arc.", "reason_2": "The motion in Video 2 is jerky and unnatural, with the girl appearing to slide or float rather than step.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable image with consistent character identities, whereas Video 2 suffers from significant hallucinations, morphing artifacts, and facial distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Sun-dappled/Joyful)", "reason_1": "Video 1 utilizes warm lighting and vibrant colors to successfully evoke the 'joyful spontaneity' and 'sun-dappled' atmosphere.", "reason_2": "Video 2 has flatter, cooler lighting that feels less inviting and fails to capture the specific mood of the prompt.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 frames the subjects well against the background, keeping the focus on their interaction and contrasting movements.", "reason_2": "Video 2's framing is functional but the background blur and lack of depth make the composition feel cluttered and less cinematic.", "score_1": 7, "score_2": 3}, {"name": "Narrative Expression (Intergenerational Connection)", "reason_1": "The clear contrast between the skipping girl and the composed man in Video 1 effectively tells the story of 'youth vs. experience'.", "reason_2": "Due to the awkward motion and lack of distinct skipping, the narrative contrast is lost in Video 2.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a much more pleasing and coherent visual narrative, effectively using lighting and color to convey the requested mood.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it demonstrates superior semantic alignment and technical stability. It accurately renders the specific attributes of the girl (braids, colorful dress) and the environment (distinct cherry blossoms), while maintaining a stable visual consistency. Video 2 suffers from severe morphological instability, fails to render the girl's specific hairstyle, and lacks the distinct 'skipping' motion requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 61.31} +{"pair_id": "031_seed_42", "sample_index": 31, "seed": 42, "prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_42_The camera zooms in on nimble fingers deftly assem.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_42_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_42_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_42_The camera zooms in on nimble fingers deftly assem.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Fidelity (Zoom & Pull Back)\", \"reason_1\": \"Video 1 maintains a static close-up shot throughout, completely ignoring the explicit instruction to 'zoom in' and then 'pull back' to reveal the model.\", \"reason_2\": \"Video 2 executes a clear camera movement that starts closer to the action and pulls back to reveal the context and the model, aligning well with the prompt's narrative structure.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Definition (Complex Mechanical Model)\", \"reason_1\": \"The object in Video 1 is an amorphous, shifting blob of blue and white textures that lacks the definition of a 'complex mechanical model' or 'gears'.\", \"reason_2\": \"Video 2 renders a distinct, intricate mechanical structure with visible gears and components, accurately reflecting the 'masterpiece of engineering' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Logic (Deft Assembly)\", \"reason_1\": \"The hands in Video 1 move, but the interaction with the object is vague; parts do not seem to 'click into place' but rather morph into one another.\", \"reason_2\": \"Video 2 depicts hands manipulating specific parts of the model in a way that suggests assembly and alignment, fitting the description of 'deftly assembling'.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 follows the prompt's structural and subject requirements much more closely, particularly regarding the camera movement and the definition of the mechanical model.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Video 1 exhibits severe temporal instability; the mechanical parts constantly change shape, size, and texture, breaking the illusion of a solid object.\", \"reason_2\": \"Video 2 maintains the rigid shape of the mechanical model throughout the clip, with only minor flickering, demonstrating much higher temporal coherence.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Texture Realism\", \"reason_1\": \"The textures in Video 1 are muddy and blurred, lacking the sharpness required to show 'intricate details'.\", \"reason_2\": \"Video 2 features sharp, realistic textures on both the wooden table and the metallic/plastic components of the model.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Anatomical Consistency (Hands)\", \"reason_1\": \"The hands in Video 1 occasionally blend into the object or lose structural integrity during movement.\", \"reason_2\": \"The hands in Video 2 are anatomically consistent and interact with the object without clipping or merging artifacts.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior stability and realism. Video 1 is plagued by severe hallucinations and morphing artifacts that destroy the illusion of reality.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Assembly to Reveal)\", \"reason_1\": \"Video 1 feels like a random, looping clip with no beginning, middle, or end, failing to convey the 'culmination' mentioned in the prompt.\", \"reason_2\": \"Video 2 has a clear progression from working on the details to a wider shot that showcases the result, effectively telling the story of the assembly process.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"The lighting in Video 1 is somewhat flat and the background is indistinct, failing to create the 'gleaming' atmosphere requested.\", \"reason_2\": \"Video 2 utilizes soft, natural lighting that highlights the model against a clean background, matching the 'soft light' description.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The constant morphing and lack of focus make Video 1 visually confusing and unappealing.\", \"reason_2\": \"Video 2 is clean, professional, and visually coherent, making it a much more pleasing and effective generation.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully captures the narrative arc of craftsmanship implied by the prompt, whereas Video 1 is a static, repetitive loop with no narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully executes the specific camera movement instructions (zooming in and pulling back) and maintains high morphological stability of the complex mechanical model. Video 1 suffers from severe temporal inconsistency, where the object and hands constantly morph and lose shape, failing to depict a coherent assembly process or the requested camera narrative.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Fidelity (Zoom & Pull Back)", "reason_1": "Video 1 maintains a static close-up shot throughout, completely ignoring the explicit instruction to 'zoom in' and then 'pull back' to reveal the model.", "reason_2": "Video 2 executes a clear camera movement that starts closer to the action and pulls back to reveal the context and the model, aligning well with the prompt's narrative structure.", "score_1": 1, "score_2": 9}, {"name": "Subject Definition (Complex Mechanical Model)", "reason_1": "The object in Video 1 is an amorphous, shifting blob of blue and white textures that lacks the definition of a 'complex mechanical model' or 'gears'.", "reason_2": "Video 2 renders a distinct, intricate mechanical structure with visible gears and components, accurately reflecting the 'masterpiece of engineering' description.", "score_1": 2, "score_2": 8}, {"name": "Action Logic (Deft Assembly)", "reason_1": "The hands in Video 1 move, but the interaction with the object is vague; parts do not seem to 'click into place' but rather morph into one another.", "reason_2": "Video 2 depicts hands manipulating specific parts of the model in a way that suggests assembly and alignment, fitting the description of 'deftly assembling'.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 follows the prompt's structural and subject requirements much more closely, particularly regarding the camera movement and the definition of the mechanical model.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Video 1 exhibits severe temporal instability; the mechanical parts constantly change shape, size, and texture, breaking the illusion of a solid object.", "reason_2": "Video 2 maintains the rigid shape of the mechanical model throughout the clip, with only minor flickering, demonstrating much higher temporal coherence.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Texture Realism", "reason_1": "The textures in Video 1 are muddy and blurred, lacking the sharpness required to show 'intricate details'.", "reason_2": "Video 2 features sharp, realistic textures on both the wooden table and the metallic/plastic components of the model.", "score_1": 3, "score_2": 7}, {"name": "Anatomical Consistency (Hands)", "reason_1": "The hands in Video 1 occasionally blend into the object or lose structural integrity during movement.", "reason_2": "The hands in Video 2 are anatomically consistent and interact with the object without clipping or merging artifacts.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior stability and realism. Video 1 is plagued by severe hallucinations and morphing artifacts that destroy the illusion of reality.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Assembly to Reveal)", "reason_1": "Video 1 feels like a random, looping clip with no beginning, middle, or end, failing to convey the 'culmination' mentioned in the prompt.", "reason_2": "Video 2 has a clear progression from working on the details to a wider shot that showcases the result, effectively telling the story of the assembly process.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Atmosphere", "reason_1": "The lighting in Video 1 is somewhat flat and the background is indistinct, failing to create the 'gleaming' atmosphere requested.", "reason_2": "Video 2 utilizes soft, natural lighting that highlights the model against a clean background, matching the 'soft light' description.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The constant morphing and lack of focus make Video 1 visually confusing and unappealing.", "reason_2": "Video 2 is clean, professional, and visually coherent, making it a much more pleasing and effective generation.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully captures the narrative arc of craftsmanship implied by the prompt, whereas Video 1 is a static, repetitive loop with no narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully executes the specific camera movement instructions (zooming in and pulling back) and maintains high morphological stability of the complex mechanical model. Video 1 suffers from severe temporal inconsistency, where the object and hands constantly morph and lose shape, failing to depict a coherent assembly process or the requested camera narrative.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 24.0, "total_score_2": 66.0, "elapsed_sec": 62.09} +{"pair_id": "033_seed_930", "sample_index": 33, "seed": 930, "prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_033_seed_930_A charming Japanese actress wearing a pastel pink.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Completeness (Chopping & Stirring)\", \"reason_1\": \"Video 1 depicts the subject performing both chopping and stirring actions as requested.\", \"reason_2\": \"Video 2 only depicts the chopping action; the subject never interacts with the pot or stirs it.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Atmosphere (Lighting & Decor)\", \"reason_1\": \"Video 1 perfectly captures the 'warmly-lit', 'cozy', and 'soft ambient lighting' with prominent cherry blossom decorations.\", \"reason_2\": \"Video 2 has cooler, flatter lighting that feels less 'cozy' and the cherry blossoms are less integrated into the scene's atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Attire & Expression)\", \"reason_1\": \"Video 1 accurately renders the pastel pink apron, white blouse, and the 'focused yet joyful' expression.\", \"reason_2\": \"Video 2 also accurately renders the requested clothing and expression.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 followed the prompt's instructions regarding the subject's actions and the environment's atmosphere much more closely than Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Fluidity & Naturalness\", \"reason_1\": \"The movement in Video 1 is smooth and graceful, fitting the description of 'skillfully' and 'gracefully'.\", \"reason_2\": \"The chopping motion in Video 2 is somewhat repetitive and mechanical, lacking the natural flow of Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"Video 1 has a high-quality, cinematic look with excellent texture rendering on the food and clothing.\", \"reason_2\": \"Video 2 appears slightly more digital and flat, with less depth in the textures.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent throughout the clip.\", \"reason_2\": \"The subject's identity is stable throughout the clip.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 exhibits smoother motion and higher visual fidelity, whereas Video 2 feels slightly more mechanical in its movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Inviting & Serene)\", \"reason_1\": \"Video 1 successfully evokes the 'inviting' and 'serene' mood through warm color grading and soft lighting.\", \"reason_2\": \"Video 2 feels more clinical and lacks the emotional warmth described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 frames the subject and the cooking elements (pot and board) in a balanced way that tells the story.\", \"reason_2\": \"Video 2's framing is a bit tight and focuses mostly on the chopping, missing the context of the stove/pot interaction.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 feels like a complete scene of a cooking demonstration or lifestyle clip.\", \"reason_2\": \"Video 2 feels like a looped segment of a single action without narrative progression.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 excels in creating the specific mood requested, using lighting and composition to evoke a sense of warmth and tradition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully incorporates all key semantic elements of the prompt, specifically the dual actions of chopping and stirring, which Video 2 fails to depict. Additionally, Video 1 captures the requested 'warmly-lit' and 'cozy' atmosphere with superior lighting and set design compared to the flatter lighting in Video 2.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming Japanese actress, wearing a pastel pink apron over a casual white blouse, stands in her cozy, warmly-lit room, surrounded by an array of colorful ingredients and traditional cooking utensils. Her room, adorned with delicate cherry blossom decorations and soft, ambient lighting, creates an inviting atmosphere. She skillfully chops fresh vegetables on a wooden cutting board, her expression focused yet joyful. The camera captures her graceful movements as she stirs a simmering pot on a small stove, the aroma of her culinary creation filling the air. Her gentle smile and the serene setting reflect a harmonious blend of tradition and modernity.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Completeness (Chopping & Stirring)", "reason_1": "Video 1 depicts the subject performing both chopping and stirring actions as requested.", "reason_2": "Video 2 only depicts the chopping action; the subject never interacts with the pot or stirs it.", "score_1": 9, "score_2": 1}, {"name": "Environmental Atmosphere (Lighting & Decor)", "reason_1": "Video 1 perfectly captures the 'warmly-lit', 'cozy', and 'soft ambient lighting' with prominent cherry blossom decorations.", "reason_2": "Video 2 has cooler, flatter lighting that feels less 'cozy' and the cherry blossoms are less integrated into the scene's atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Attire & Expression)", "reason_1": "Video 1 accurately renders the pastel pink apron, white blouse, and the 'focused yet joyful' expression.", "reason_2": "Video 2 also accurately renders the requested clothing and expression.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 followed the prompt's instructions regarding the subject's actions and the environment's atmosphere much more closely than Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Fluidity & Naturalness", "reason_1": "The movement in Video 1 is smooth and graceful, fitting the description of 'skillfully' and 'gracefully'.", "reason_2": "The chopping motion in Video 2 is somewhat repetitive and mechanical, lacking the natural flow of Video 1.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "Video 1 has a high-quality, cinematic look with excellent texture rendering on the food and clothing.", "reason_2": "Video 2 appears slightly more digital and flat, with less depth in the textures.", "score_1": 7, "score_2": 3}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent throughout the clip.", "reason_2": "The subject's identity is stable throughout the clip.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 exhibits smoother motion and higher visual fidelity, whereas Video 2 feels slightly more mechanical in its movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Inviting & Serene)", "reason_1": "Video 1 successfully evokes the 'inviting' and 'serene' mood through warm color grading and soft lighting.", "reason_2": "Video 2 feels more clinical and lacks the emotional warmth described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "Video 1 frames the subject and the cooking elements (pot and board) in a balanced way that tells the story.", "reason_2": "Video 2's framing is a bit tight and focuses mostly on the chopping, missing the context of the stove/pot interaction.", "score_1": 7, "score_2": 3}, {"name": "Narrative Completeness", "reason_1": "Video 1 feels like a complete scene of a cooking demonstration or lifestyle clip.", "reason_2": "Video 2 feels like a looped segment of a single action without narrative progression.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 excels in creating the specific mood requested, using lighting and composition to evoke a sense of warmth and tradition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully incorporates all key semantic elements of the prompt, specifically the dual actions of chopping and stirring, which Video 2 fails to depict. Additionally, Video 1 captures the requested 'warmly-lit' and 'cozy' atmosphere with superior lighting and set design compared to the flatter lighting in Video 2.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 64.0, "total_score_2": 26.0, "elapsed_sec": 54.848} +{"pair_id": "036_seed_310", "sample_index": 36, "seed": 310, "prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_310_A majestic Maasai warrior stands tall on the sunli.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_310_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_310_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_310_A majestic Maasai warrior stands tall on the sunli.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Object Logic & Integrity (The Spear)\", \"reason_1\": \"Video 1 fails significantly here; the spear hallucinates into two separate, glitchy objects that float independently, breaking the semantic reality of the prompt.\", \"reason_2\": \"Video 2 renders a single, solid, and logically held spear that remains consistent throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Fidelity (Jewelry & Shuka)\", \"reason_1\": \"Video 1 captures the colors well, but the jewelry lacks definition and appears somewhat melted or blended into the skin.\", \"reason_2\": \"Video 2 renders the 'intricate details' of the beads with high precision, showing distinct shapes and colors, and the red shuka has realistic fabric texture.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Environmental Context (Savannah & Sky)\", \"reason_1\": \"Video 1 accurately depicts the golden grasses and acacia trees under a blue sky.\", \"reason_2\": \"Video 2 also accurately depicts the environment, with perhaps slightly better depth of field separating the subject from the background.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 accurately renders all prompt elements with logical consistency. Video 1 fails the specific requirement of holding 'a spear' by generating a glitchy, dual-object artifact.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The spear in Video 1 is extremely unstable, splitting and morphing shape constantly, which is a major technical flaw.\", \"reason_2\": \"Video 2 maintains perfect rigidity and shape consistency for the spear and the warrior's features throughout the motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is somewhat soft, and the details on the face and beads are blurred.\", \"reason_2\": \"The video is sharp, with high-resolution textures visible on the skin, beads, and grass.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion is minimal, but the glitching of the object distracts from any natural movement.\", \"reason_2\": \"The warrior's head turn and the subtle camera movement are smooth and physically plausible.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe morphing artifacts and lower resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"The lighting is flat and functional but lacks the 'majestic' quality requested.\", \"reason_2\": \"The lighting is dynamic, highlighting the contours of the face and the beads, creating a more cinematic look.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Expression of Pride & Resilience\", \"reason_1\": \"The expression is somewhat neutral and obscured by the lower fidelity of the face.\", \"reason_2\": \"The subject has a distinct, stoic expression that aligns well with the prompt's request for 'pride and resilience'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is heavily penalized by the distracting artifacts and lower image quality.\", \"reason_2\": \"The video is aesthetically pleasing, with rich colors and a clean, professional composition.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the 'majestic' and 'timeless beauty' requested by the prompt through superior lighting and composition.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, stability, and semantic accuracy. While Video 1 attempts the prompt, it suffers from a critical hallucination where the spear splits into two disjointed objects, breaking physical logic. Video 2 maintains a coherent, high-resolution image with intricate details in the jewelry and a stable, realistic spear, perfectly capturing the majestic tone of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Object Logic & Integrity (The Spear)", "reason_1": "Video 1 fails significantly here; the spear hallucinates into two separate, glitchy objects that float independently, breaking the semantic reality of the prompt.", "reason_2": "Video 2 renders a single, solid, and logically held spear that remains consistent throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Attribute Fidelity (Jewelry & Shuka)", "reason_1": "Video 1 captures the colors well, but the jewelry lacks definition and appears somewhat melted or blended into the skin.", "reason_2": "Video 2 renders the 'intricate details' of the beads with high precision, showing distinct shapes and colors, and the red shuka has realistic fabric texture.", "score_1": 4, "score_2": 6}, {"name": "Environmental Context (Savannah & Sky)", "reason_1": "Video 1 accurately depicts the golden grasses and acacia trees under a blue sky.", "reason_2": "Video 2 also accurately depicts the environment, with perhaps slightly better depth of field separating the subject from the background.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 accurately renders all prompt elements with logical consistency. Video 1 fails the specific requirement of holding 'a spear' by generating a glitchy, dual-object artifact.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The spear in Video 1 is extremely unstable, splitting and morphing shape constantly, which is a major technical flaw.", "reason_2": "Video 2 maintains perfect rigidity and shape consistency for the spear and the warrior's features throughout the motion.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is somewhat soft, and the details on the face and beads are blurred.", "reason_2": "The video is sharp, with high-resolution textures visible on the skin, beads, and grass.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness", "reason_1": "The motion is minimal, but the glitching of the object distracts from any natural movement.", "reason_2": "The warrior's head turn and the subtle camera movement are smooth and physically plausible.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe morphing artifacts and lower resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "The lighting is flat and functional but lacks the 'majestic' quality requested.", "reason_2": "The lighting is dynamic, highlighting the contours of the face and the beads, creating a more cinematic look.", "score_1": 4, "score_2": 6}, {"name": "Expression of Pride & Resilience", "reason_1": "The expression is somewhat neutral and obscured by the lower fidelity of the face.", "reason_2": "The subject has a distinct, stoic expression that aligns well with the prompt's request for 'pride and resilience'.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is heavily penalized by the distracting artifacts and lower image quality.", "reason_2": "The video is aesthetically pleasing, with rich colors and a clean, professional composition.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the 'majestic' and 'timeless beauty' requested by the prompt through superior lighting and composition.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, stability, and semantic accuracy. While Video 1 attempts the prompt, it suffers from a critical hallucination where the spear splits into two disjointed objects, breaking physical logic. Video 2 maintains a coherent, high-resolution image with intricate details in the jewelry and a stable, realistic spear, perfectly capturing the majestic tone of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 56.838} +{"pair_id": "039_seed_42", "sample_index": 39, "seed": 42, "prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_42_A warm inviting scene unfolds as a Latin American.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Cultural & Environmental Specificity\", \"reason_1\": \"Video 1 perfectly renders the 'handwoven textiles' and 'rustic' atmosphere with authentic patterns and textures that feel grounded in the requested Latin American context.\", \"reason_2\": \"Video 2 presents a generic, highly saturated environment where the textiles look like digital noise rather than woven fabric, lacking cultural grounding.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Interaction & Narrative Logic\", \"reason_1\": \"The family in Video 1 engages in natural, animated conversation and laughter, aligning well with the prompt's request for 'lively chatter'.\", \"reason_2\": \"While the subjects are moving, the interactions in Video 2 are marred by glitchy motion and lack the coherent narrative flow of a family sharing a story.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Object Definition (Food & Textiles)\", \"reason_1\": \"The food items (pot, breads, greens) and table settings are distinct and recognizable, even if the specific 'tamales' are interpreted loosely.\", \"reason_2\": \"The food items in Video 2 are amorphous blobs that merge with the table and hands, failing to represent the specific dishes requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific cultural markers requested, such as the handwoven textiles and the rustic table setting, while maintaining a logical family interaction. Video 2 attempts the elements but fails to render them with recognizable fidelity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The subjects' faces remain consistent, solid, and human throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting face' artifacts; features slide off faces, and expressions distort into grotesque shapes.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Anatomical Integrity (Hands & Limbs)\", \"reason_1\": \"Hands and arms are rendered with correct proportions and joint structure.\", \"reason_2\": \"Video 2 displays 'spaghetti hands' and limbs that merge into the table or other objects, breaking physical plausibility.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Temporal Coherence & Smoothness\", \"reason_1\": \"The video plays smoothly with consistent lighting and no flickering.\", \"reason_2\": \"The video suffers from significant jitter, texture flickering, and background instability.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This is the deciding category. Video 1 maintains high stability and realism. Video 2 fails catastrophically with severe morphing, melting faces, and anatomical errors.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Warmth & Coziness)\", \"reason_1\": \"The lighting is warm and natural, successfully evoking the 'cozy, familial atmosphere' requested.\", \"reason_2\": \"The high contrast and oversaturation create a harsh, artificial look that feels unsettling rather than inviting.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Composition & Framing\", \"reason_1\": \"The framing captures the group dynamic well, allowing the viewer to see the interactions and the table spread clearly.\", \"reason_2\": \"The composition is cluttered, and the camera movement feels random and disorienting.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Aesthetic Appeal\", \"reason_1\": \"The video is visually pleasing and looks like a coherent piece of footage.\", \"reason_2\": \"The video is aesthetically unpleasant due to the heavy AI artifacts and distortion.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully creates the 'warm, inviting' mood requested. Video 2's visual artifacts create an uncanny and disturbing atmosphere that contradicts the prompt's intent.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual stability, realistic rendering of human subjects, and accurate capture of the requested cultural atmosphere. While Video 2 attempts the prompt's elements, it suffers from severe generative artifacts, including melting faces, distorted anatomy, and chaotic motion, which completely undermine the 'warm, inviting' mood required by the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Cultural & Environmental Specificity", "reason_1": "Video 1 perfectly renders the 'handwoven textiles' and 'rustic' atmosphere with authentic patterns and textures that feel grounded in the requested Latin American context.", "reason_2": "Video 2 presents a generic, highly saturated environment where the textiles look like digital noise rather than woven fabric, lacking cultural grounding.", "score_1": 9, "score_2": 1}, {"name": "Subject Interaction & Narrative Logic", "reason_1": "The family in Video 1 engages in natural, animated conversation and laughter, aligning well with the prompt's request for 'lively chatter'.", "reason_2": "While the subjects are moving, the interactions in Video 2 are marred by glitchy motion and lack the coherent narrative flow of a family sharing a story.", "score_1": 8, "score_2": 2}, {"name": "Object Definition (Food & Textiles)", "reason_1": "The food items (pot, breads, greens) and table settings are distinct and recognizable, even if the specific 'tamales' are interpreted loosely.", "reason_2": "The food items in Video 2 are amorphous blobs that merge with the table and hands, failing to represent the specific dishes requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific cultural markers requested, such as the handwoven textiles and the rustic table setting, while maintaining a logical family interaction. Video 2 attempts the elements but fails to render them with recognizable fidelity.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The subjects' faces remain consistent, solid, and human throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting face' artifacts; features slide off faces, and expressions distort into grotesque shapes.", "score_1": 10, "score_2": 0}, {"name": "Anatomical Integrity (Hands & Limbs)", "reason_1": "Hands and arms are rendered with correct proportions and joint structure.", "reason_2": "Video 2 displays 'spaghetti hands' and limbs that merge into the table or other objects, breaking physical plausibility.", "score_1": 9, "score_2": 1}, {"name": "Temporal Coherence & Smoothness", "reason_1": "The video plays smoothly with consistent lighting and no flickering.", "reason_2": "The video suffers from significant jitter, texture flickering, and background instability.", "score_1": 9, "score_2": 1}], "cat_reason": "This is the deciding category. Video 1 maintains high stability and realism. Video 2 fails catastrophically with severe morphing, melting faces, and anatomical errors.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Warmth & Coziness)", "reason_1": "The lighting is warm and natural, successfully evoking the 'cozy, familial atmosphere' requested.", "reason_2": "The high contrast and oversaturation create a harsh, artificial look that feels unsettling rather than inviting.", "score_1": 9, "score_2": 1}, {"name": "Visual Composition & Framing", "reason_1": "The framing captures the group dynamic well, allowing the viewer to see the interactions and the table spread clearly.", "reason_2": "The composition is cluttered, and the camera movement feels random and disorienting.", "score_1": 8, "score_2": 2}, {"name": "Overall Aesthetic Appeal", "reason_1": "The video is visually pleasing and looks like a coherent piece of footage.", "reason_2": "The video is aesthetically unpleasant due to the heavy AI artifacts and distortion.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully creates the 'warm, inviting' mood requested. Video 2's visual artifacts create an uncanny and disturbing atmosphere that contradicts the prompt's intent.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual stability, realistic rendering of human subjects, and accurate capture of the requested cultural atmosphere. While Video 2 attempts the prompt's elements, it suffers from severe generative artifacts, including melting faces, distorted anatomy, and chaotic motion, which completely undermine the 'warm, inviting' mood required by the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 78.0, "total_score_2": 12.0, "elapsed_sec": 59.851} +{"pair_id": "041_seed_930", "sample_index": 41, "seed": 930, "prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_041_seed_930_A lively group of South Asian women adorned in vib.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Attire Specificity\", \"reason_1\": \"Video 1 correctly identifies the subjects and the specific sari colors (red, gold, emerald) requested.\", \"reason_2\": \"Video 2 also correctly identifies the subjects and renders the specific sari colors with high accuracy.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Expression Fidelity (Concentration & Joy)\", \"reason_1\": \"The facial expressions in Video 1 are heavily distorted and morph constantly, failing to convey the requested 'blend of concentration and joy'.\", \"reason_2\": \"Video 2 renders clear, stable faces that convey a sense of focus and engagement, aligning well with the prompt's emotional requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Festival Lights)\", \"reason_1\": \"The background in Video 1 is present but lacks the distinct 'shimmer' and definition of festival lights, appearing somewhat muddy.\", \"reason_2\": \"Video 2 features distinct bokeh and lighting effects that effectively simulate the 'shimmer under festival lights' described in the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the specific details of the prompt—such as facial expressions and lighting effects—much more accurately than Video 1, which struggles with facial definition.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, low-resolution, and lacks fine detail in textures like the sari fabric.\", \"reason_2\": \"The video is sharp, high-definition, and renders textures (skin, fabric, jewelry) with high clarity.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Faces & Bodies)\", \"reason_1\": \"Subjects in Video 1 suffer from severe 'melting' and warping, particularly in the faces and hands during movement.\", \"reason_2\": \"Video 2 maintains consistent subject identity and anatomical structure throughout the clip with minimal warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The motion is jerky and unnatural, with frames that feel disconnected.\", \"reason_2\": \"The movement is fluid and continuous, creating a believable representation of dance motion.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is technically superior in every aspect, offering a sharp, stable image compared to the blurry and unstable output of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"Lighting is flat and dull, failing to capture the 'vivid' and 'shimmering' atmosphere requested.\", \"reason_2\": \"Excellent use of lighting creates a vibrant, festive atmosphere that enhances the aesthetic appeal.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The low quality and artifacts make the video visually unappealing and difficult to watch.\", \"reason_2\": \"The video is visually pleasing, with rich colors and a professional look that highlights the cultural heritage.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable but feels cluttered due to the lack of depth of field.\", \"reason_2\": \"The composition uses depth of field effectively to separate the dancers from the background, focusing attention on the subjects.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 presents a cinematic, aesthetically pleasing image with professional lighting, whereas Video 1 lacks artistic polish.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Cultural Detail & Choreography\", \"dims\": [{\"name\": \"Choreographic Synchronization\", \"reason_1\": \"The dancers move somewhat together, but the lack of definition makes the synchronization hard to appreciate.\", \"reason_2\": \"The dancers exhibit clear, synchronized hand movements and body language typical of traditional dance.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Accessory Detail (Bangles/Jewelry)\", \"reason_1\": \"Jewelry is visible but appears as blurry blobs rather than distinct objects.\", \"reason_2\": \"Bangles and jewelry are rendered with distinct edges and shine, aligning with the prompt's mention of 'bangles jingle'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Fabric Physics & Texture\", \"reason_1\": \"The saris look like solid colored shapes without realistic fabric physics.\", \"reason_2\": \"The saris have visible texture and fold naturally as the dancers move, adding to the realism.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category assesses the specific cultural elements requested. Video 2 excels in rendering the intricate details of the dance and attire.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates vastly superior visual fidelity, temporal stability, and aesthetic quality. While Video 1 captures the basic semantic elements, it suffers from severe blurring, low resolution, and significant morphological distortion (melting faces). Video 2 delivers a high-definition, cinematic result with stable subject identities, realistic lighting that matches the 'shimmering' description, and coherent dance movements.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A lively group of South Asian women, adorned in vibrant saris of red, gold, and emerald, gracefully perform a traditional dance at a bustling festival. The camera captures their synchronized movements, as their bangles jingle and anklets chime, creating a symphony of sound. The vivid colors of their outfits shimmer under the festival lights, enhancing the joyous atmosphere. Their expressions are a blend of concentration and joy, reflecting the cultural richness of the celebration. The background is filled with colorful decorations and a cheering crowd, adding to the festive ambiance and highlighting the beauty of their cultural heritage.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Attire Specificity", "reason_1": "Video 1 correctly identifies the subjects and the specific sari colors (red, gold, emerald) requested.", "reason_2": "Video 2 also correctly identifies the subjects and renders the specific sari colors with high accuracy.", "score_1": 5, "score_2": 5}, {"name": "Expression Fidelity (Concentration & Joy)", "reason_1": "The facial expressions in Video 1 are heavily distorted and morph constantly, failing to convey the requested 'blend of concentration and joy'.", "reason_2": "Video 2 renders clear, stable faces that convey a sense of focus and engagement, aligning well with the prompt's emotional requirement.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Festival Lights)", "reason_1": "The background in Video 1 is present but lacks the distinct 'shimmer' and definition of festival lights, appearing somewhat muddy.", "reason_2": "Video 2 features distinct bokeh and lighting effects that effectively simulate the 'shimmer under festival lights' described in the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the specific details of the prompt—such as facial expressions and lighting effects—much more accurately than Video 1, which struggles with facial definition.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, low-resolution, and lacks fine detail in textures like the sari fabric.", "reason_2": "The video is sharp, high-definition, and renders textures (skin, fabric, jewelry) with high clarity.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Faces & Bodies)", "reason_1": "Subjects in Video 1 suffer from severe 'melting' and warping, particularly in the faces and hands during movement.", "reason_2": "Video 2 maintains consistent subject identity and anatomical structure throughout the clip with minimal warping.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness & Coherence", "reason_1": "The motion is jerky and unnatural, with frames that feel disconnected.", "reason_2": "The movement is fluid and continuous, creating a believable representation of dance motion.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is technically superior in every aspect, offering a sharp, stable image compared to the blurry and unstable output of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "Lighting is flat and dull, failing to capture the 'vivid' and 'shimmering' atmosphere requested.", "reason_2": "Excellent use of lighting creates a vibrant, festive atmosphere that enhances the aesthetic appeal.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The low quality and artifacts make the video visually unappealing and difficult to watch.", "reason_2": "The video is visually pleasing, with rich colors and a professional look that highlights the cultural heritage.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable but feels cluttered due to the lack of depth of field.", "reason_2": "The composition uses depth of field effectively to separate the dancers from the background, focusing attention on the subjects.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 presents a cinematic, aesthetically pleasing image with professional lighting, whereas Video 1 lacks artistic polish.", "cat_winner": "Video 2"}, {"name": "D. Cultural Detail & Choreography", "dims": [{"name": "Choreographic Synchronization", "reason_1": "The dancers move somewhat together, but the lack of definition makes the synchronization hard to appreciate.", "reason_2": "The dancers exhibit clear, synchronized hand movements and body language typical of traditional dance.", "score_1": 3, "score_2": 7}, {"name": "Accessory Detail (Bangles/Jewelry)", "reason_1": "Jewelry is visible but appears as blurry blobs rather than distinct objects.", "reason_2": "Bangles and jewelry are rendered with distinct edges and shine, aligning with the prompt's mention of 'bangles jingle'.", "score_1": 2, "score_2": 8}, {"name": "Fabric Physics & Texture", "reason_1": "The saris look like solid colored shapes without realistic fabric physics.", "reason_2": "The saris have visible texture and fold naturally as the dancers move, adding to the realism.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category assesses the specific cultural elements requested. Video 2 excels in rendering the intricate details of the dance and attire.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates vastly superior visual fidelity, temporal stability, and aesthetic quality. While Video 1 captures the basic semantic elements, it suffers from severe blurring, low resolution, and significant morphological distortion (melting faces). Video 2 delivers a high-definition, cinematic result with stable subject identities, realistic lighting that matches the 'shimmering' description, and coherent dance movements.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 92.0, "elapsed_sec": 69.897} +{"pair_id": "044_seed_310", "sample_index": 44, "seed": 310, "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_310_A close-up shot captures a persons face initially.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_310_A close-up shot captures a persons face initially.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_310_A close-up shot captures a persons face initially.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_310_A close-up shot captures a persons face initially.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Expression Transition (Joy to Contemplation)\", \"reason_1\": \"Video 1 perfectly captures the prompt's instruction to have the smile fade and lips turn downward, ending in a contemplative expression.\", \"reason_2\": \"Video 2 completely ignores the instruction to fade the smile; the subject maintains a wide, toothy grin throughout the entire clip.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Lighting Temperature Shift\", \"reason_1\": \"Video 1 executes a clear transition from warm, golden lighting to a cooler, bluish tone as requested.\", \"reason_2\": \"Video 2 exhibits erratic lighting changes with green and purple color casts that do not follow the 'warm to cool' narrative arc.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Micro-Expression Detail (Muscle Play)\", \"reason_1\": \"Video 1 accurately renders the 'intricate play of facial muscles,' specifically the relaxation of the cheeks and the closing of the eyes.\", \"reason_2\": \"Video 2 lacks the subtle muscle shifts requested, showing only a static, high-energy expression with no relaxation.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 followed the prompt's narrative arc perfectly, transitioning from a smile to a contemplative look with the correct lighting shift. Video 2 failed to change the expression or the lighting temperature meaningfully.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Photorealism\", \"reason_1\": \"Video 1 features highly realistic skin texture, pores, and natural lighting interaction.\", \"reason_2\": \"Video 2 has a waxy, over-smoothed appearance with unnatural artifacts (e.g., the dark spots on the face) that look like generation errors.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Color Stability & Consistency\", \"reason_1\": \"The color grading in Video 1 is stable and intentional, shifting smoothly.\", \"reason_2\": \"Video 2 suffers from severe color instability, with the face flashing green and purple hues randomly.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity (Eyes & Teeth)\", \"reason_1\": \"The facial features in Video 1 remain anatomically correct and consistent throughout the motion.\", \"reason_2\": \"Video 2 shows slight warping in the teeth and eyes, contributing to an 'uncanny valley' effect.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high-end photorealism with natural skin texture and lighting. Video 2 suffers from severe artifacts, unnatural skin rendering, and color instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Arc & Mood\", \"reason_1\": \"Video 1 effectively conveys the shift in mood from happiness to introspection, creating a complete micro-narrative.\", \"reason_2\": \"Video 2 has no emotional arc; the mood remains static and somewhat manic, failing to evoke contemplation.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Cinematic Lighting Aesthetics\", \"reason_1\": \"The lighting in Video 1 is soft and cinematic, enhancing the emotional weight of the scene.\", \"reason_2\": \"The lighting in Video 2 is harsh and erratic, detracting significantly from the aesthetic appeal.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Framing & Composition\", \"reason_1\": \"Video 1 maintains a balanced close-up that keeps the focus on the changing expression.\", \"reason_2\": \"Video 2 is framed a bit too tightly, cutting off parts of the head awkwardly, though it technically meets the 'close-up' criteria.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully tells the short emotional story requested by the prompt. Video 2 lacks narrative progression and aesthetic coherence.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a superior generation that flawlessly executes the complex temporal instructions of the prompt. It accurately depicts the transition from a radiant smile to a contemplative expression, synchronized perfectly with the requested shift in lighting temperature. Video 2 fails to execute the narrative arc, maintaining a static, intense smile throughout and suffering from significant color artifacts and lower visual fidelity.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Expression Transition (Joy to Contemplation)", "reason_1": "Video 1 perfectly captures the prompt's instruction to have the smile fade and lips turn downward, ending in a contemplative expression.", "reason_2": "Video 2 completely ignores the instruction to fade the smile; the subject maintains a wide, toothy grin throughout the entire clip.", "score_1": 10, "score_2": 0}, {"name": "Lighting Temperature Shift", "reason_1": "Video 1 executes a clear transition from warm, golden lighting to a cooler, bluish tone as requested.", "reason_2": "Video 2 exhibits erratic lighting changes with green and purple color casts that do not follow the 'warm to cool' narrative arc.", "score_1": 9, "score_2": 1}, {"name": "Micro-Expression Detail (Muscle Play)", "reason_1": "Video 1 accurately renders the 'intricate play of facial muscles,' specifically the relaxation of the cheeks and the closing of the eyes.", "reason_2": "Video 2 lacks the subtle muscle shifts requested, showing only a static, high-energy expression with no relaxation.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 followed the prompt's narrative arc perfectly, transitioning from a smile to a contemplative look with the correct lighting shift. Video 2 failed to change the expression or the lighting temperature meaningfully.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Photorealism", "reason_1": "Video 1 features highly realistic skin texture, pores, and natural lighting interaction.", "reason_2": "Video 2 has a waxy, over-smoothed appearance with unnatural artifacts (e.g., the dark spots on the face) that look like generation errors.", "score_1": 9, "score_2": 1}, {"name": "Color Stability & Consistency", "reason_1": "The color grading in Video 1 is stable and intentional, shifting smoothly.", "reason_2": "Video 2 suffers from severe color instability, with the face flashing green and purple hues randomly.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity (Eyes & Teeth)", "reason_1": "The facial features in Video 1 remain anatomically correct and consistent throughout the motion.", "reason_2": "Video 2 shows slight warping in the teeth and eyes, contributing to an 'uncanny valley' effect.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high-end photorealism with natural skin texture and lighting. Video 2 suffers from severe artifacts, unnatural skin rendering, and color instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Arc & Mood", "reason_1": "Video 1 effectively conveys the shift in mood from happiness to introspection, creating a complete micro-narrative.", "reason_2": "Video 2 has no emotional arc; the mood remains static and somewhat manic, failing to evoke contemplation.", "score_1": 10, "score_2": 0}, {"name": "Cinematic Lighting Aesthetics", "reason_1": "The lighting in Video 1 is soft and cinematic, enhancing the emotional weight of the scene.", "reason_2": "The lighting in Video 2 is harsh and erratic, detracting significantly from the aesthetic appeal.", "score_1": 9, "score_2": 1}, {"name": "Framing & Composition", "reason_1": "Video 1 maintains a balanced close-up that keeps the focus on the changing expression.", "reason_2": "Video 2 is framed a bit too tightly, cutting off parts of the head awkwardly, though it technically meets the 'close-up' criteria.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully tells the short emotional story requested by the prompt. Video 2 lacks narrative progression and aesthetic coherence.", "cat_winner": "Video 1"}], "reason": "Video 1 is a superior generation that flawlessly executes the complex temporal instructions of the prompt. It accurately depicts the transition from a radiant smile to a contemplative expression, synchronized perfectly with the requested shift in lighting temperature. Video 2 fails to execute the narrative arc, maintaining a static, intense smile throughout and suffering from significant color artifacts and lower visual fidelity.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 80.0, "total_score_2": 10.0, "elapsed_sec": 57.776} +{"pair_id": "047_seed_42", "sample_index": 47, "seed": 42, "prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_42_A woman with long flowing hair sprints through a s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_42_A woman with long flowing hair sprints through a s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_42_A woman with long flowing hair sprints through a s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_42_A woman with long flowing hair sprints through a s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Hair Dynamics & 'Wild' Movement\", \"reason_1\": \"Video 1 perfectly captures the 'wildly' and 'dancing' nature of the hair described in the prompt, with strands whipping individually.\", \"reason_2\": \"Video 2's hair movement is stiff and clumped, lacking the chaotic, 'untamed' energy requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Wildflowers & Greenery)\", \"reason_1\": \"Video 1 clearly renders the 'vibrant wildflowers' and 'lush greenery' in the background, creating the requested context.\", \"reason_2\": \"Video 2 presents a generic, blurry green background where specific details like wildflowers are indistinguishable.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction (Glistening Effect)\", \"reason_1\": \"The lighting in Video 1 interacts realistically with the hair strands, creating the 'glistening' effect under the sun.\", \"reason_2\": \"Video 2 has a general backlight but lacks the specific interaction of light on individual hair strands.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the specific descriptive elements of the prompt—specifically the 'wild' hair movement and the 'vibrant wildflowers'—much more accurately than Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Hair Texture Fidelity & Sharpness\", \"reason_1\": \"The hair in Video 1 is rendered with high definition, showing individual strands and realistic texture.\", \"reason_2\": \"The hair in Video 2 appears blurry, matted, and lacks high-frequency texture details.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physics Simulation (Gravity & Wind)\", \"reason_1\": \"The hair in Video 1 reacts convincingly to the forward momentum and the breeze, showing complex physics.\", \"reason_2\": \"The hair in Video 2 moves in a blocky, unnatural manner that does not respect the physics of wind or running.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Image Clarity\", \"reason_1\": \"Video 1 maintains a sharp, clear image throughout the clip.\", \"reason_2\": \"Video 2 suffers from a soft, washed-out look that obscures detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior technical execution with sharp textures and realistic physics, whereas Video 2 appears low-resolution and physically unconvincing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Freedom & Exhilaration)\", \"reason_1\": \"The combination of bright lighting, clear nature details, and energetic motion in Video 1 effectively conveys the requested mood.\", \"reason_2\": \"The darker, blurrier presentation of Video 2 fails to evoke the sense of 'exhilaration' or 'joy'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Vibrancy & Harmony\", \"reason_1\": \"Video 1 features rich greens and yellows that match the 'vibrant' descriptor in the prompt.\", \"reason_2\": \"Video 2 has a muted, somewhat muddy color palette that lacks the requested vibrancy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Appeal of the 'Symphony'\", \"reason_1\": \"The aesthetic quality of Video 1 is high, creating a pleasing and artistic visual experience.\", \"reason_2\": \"Video 2 lacks aesthetic polish and looks more like a low-quality draft.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully evokes the mood of 'freedom and exhilaration' through vibrant colors and dynamic motion, while Video 2 feels dull and static.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it superiorly executes the core requirement of the prompt: the dynamic, wild movement of the hair. It renders individual strands with high fidelity, creating the requested 'visual symphony' and 'glistening' effect. Video 2, while semantically correct in broad strokes, suffers from lower resolution, matted hair physics, and a lack of environmental detail.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Hair Dynamics & 'Wild' Movement", "reason_1": "Video 1 perfectly captures the 'wildly' and 'dancing' nature of the hair described in the prompt, with strands whipping individually.", "reason_2": "Video 2's hair movement is stiff and clumped, lacking the chaotic, 'untamed' energy requested.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Wildflowers & Greenery)", "reason_1": "Video 1 clearly renders the 'vibrant wildflowers' and 'lush greenery' in the background, creating the requested context.", "reason_2": "Video 2 presents a generic, blurry green background where specific details like wildflowers are indistinguishable.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction (Glistening Effect)", "reason_1": "The lighting in Video 1 interacts realistically with the hair strands, creating the 'glistening' effect under the sun.", "reason_2": "Video 2 has a general backlight but lacks the specific interaction of light on individual hair strands.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the specific descriptive elements of the prompt—specifically the 'wild' hair movement and the 'vibrant wildflowers'—much more accurately than Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Hair Texture Fidelity & Sharpness", "reason_1": "The hair in Video 1 is rendered with high definition, showing individual strands and realistic texture.", "reason_2": "The hair in Video 2 appears blurry, matted, and lacks high-frequency texture details.", "score_1": 9, "score_2": 1}, {"name": "Physics Simulation (Gravity & Wind)", "reason_1": "The hair in Video 1 reacts convincingly to the forward momentum and the breeze, showing complex physics.", "reason_2": "The hair in Video 2 moves in a blocky, unnatural manner that does not respect the physics of wind or running.", "score_1": 8, "score_2": 2}, {"name": "Overall Image Clarity", "reason_1": "Video 1 maintains a sharp, clear image throughout the clip.", "reason_2": "Video 2 suffers from a soft, washed-out look that obscures detail.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior technical execution with sharp textures and realistic physics, whereas Video 2 appears low-resolution and physically unconvincing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Freedom & Exhilaration)", "reason_1": "The combination of bright lighting, clear nature details, and energetic motion in Video 1 effectively conveys the requested mood.", "reason_2": "The darker, blurrier presentation of Video 2 fails to evoke the sense of 'exhilaration' or 'joy'.", "score_1": 8, "score_2": 2}, {"name": "Color Vibrancy & Harmony", "reason_1": "Video 1 features rich greens and yellows that match the 'vibrant' descriptor in the prompt.", "reason_2": "Video 2 has a muted, somewhat muddy color palette that lacks the requested vibrancy.", "score_1": 8, "score_2": 2}, {"name": "Visual Appeal of the 'Symphony'", "reason_1": "The aesthetic quality of Video 1 is high, creating a pleasing and artistic visual experience.", "reason_2": "Video 2 lacks aesthetic polish and looks more like a low-quality draft.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully evokes the mood of 'freedom and exhilaration' through vibrant colors and dynamic motion, while Video 2 feels dull and static.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it superiorly executes the core requirement of the prompt: the dynamic, wild movement of the hair. It renders individual strands with high fidelity, creating the requested 'visual symphony' and 'glistening' effect. Video 2, while semantically correct in broad strokes, suffers from lower resolution, matted hair physics, and a lack of environmental detail.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 57.866} +{"pair_id": "049_seed_930", "sample_index": 49, "seed": 930, "prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_049_seed_930_In a serene softly lit room the camera remains fix.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Temporal Narrative Progression (Joy to Sorrow)\", \"reason_1\": \"Video 1 clearly depicts the requested sequence: starting with a bright smile and transitioning into a sorrowful expression with furrowed brows.\", \"reason_2\": \"Video 2 fails to show the transition; the character appears to be in a state of distress or crying from the very first frame, missing the 'initial joy' requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Initial Emotional State (Joy & Warmth)\", \"reason_1\": \"Video 1 perfectly captures the 'sparkling eyes' and 'genuine smile' described in the prompt's opening.\", \"reason_2\": \"Video 2 completely misses the 'warmth and happiness' aspect, presenting a grimacing, pained expression throughout.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Specific Attribute Rendering (Tears & Furrows)\", \"reason_1\": \"Video 1 renders the specific details of the prompt, including the glistening eyes and the furrowing of the brows during the transition.\", \"reason_2\": \"While Video 2 has tears, it lacks the specific 'shadow crossing features' or the distinct change in brow shape requested, as the face is static in its distress.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 followed the chronological instructions of the prompt, showing the specific change in emotion. Video 2 ignored the 'initial joy' instruction entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"The character's facial structure in Video 1 remains consistent and solid throughout the animation.\", \"reason_2\": \"Video 2 exhibits severe warping and instability, particularly around the mouth and teeth, which shift unnaturally during the clip.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"Video 1 is a clean, sharp anime-style generation with no noise.\", \"reason_2\": \"Video 2 attempts photorealism but results in a muddy, low-contrast image with noticeable generation artifacts.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"The movement in Video 1 is fluid and intentional, matching the anime aesthetic.\", \"reason_2\": \"The motion in Video 2 feels jittery and lacks a clear direction, appearing more like a morphing glitch than human movement.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high stability within its anime style. Video 2 suffers from significant morphological instability and artifacts in the facial features.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Arc & Impact\", \"reason_1\": \"Video 1 effectively conveys the 'poignant stillness' and the shift in mood, creating a complete micro-narrative.\", \"reason_2\": \"Video 2 lacks emotional range, presenting a single, confusing note of distress that fails to engage the viewer.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Atmospheric Tone\", \"reason_1\": \"Video 1 utilizes the 'softly lit' and 'sunlit' aesthetic well, with warm highlights that contrast with the sad ending.\", \"reason_2\": \"Video 2 has flat, dull lighting that fails to evoke the 'serene' or 'sunlit' atmosphere described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Character Expressiveness\", \"reason_1\": \"The character in Video 1 displays a readable and distinct range of expressions.\", \"reason_2\": \"The expression in Video 2 is ambiguous and distorted, making it difficult to read the character's internal state.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully tells the emotional story requested. Video 2 is emotionally stagnant and visually confusing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the complex temporal narrative required by the prompt: starting with joy and transitioning into sorrow. It captures the specific emotional arc (smile to furrowed brows) and the atmospheric lighting. Video 2 fails significantly on semantic alignment; it depicts a character who appears to be in distress or crying from the very first frame, completely missing the 'initial joy' and 'warmth' mandated by the prompt. Additionally, Video 2 suffers from severe morphological instability in the facial features.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, softly lit room, the camera remains fixed on a character's face, capturing the nuanced dance of emotions. Initially, their eyes sparkle with joy, lips curling into a genuine smile, radiating warmth and happiness. Suddenly, a shadow crosses their features; the smile fades, eyes glisten with unshed tears, and their brows furrow, reflecting deep sorrow. The transformation is swift yet profound, as if a cloud has passed over a sunlit landscape, leaving behind a poignant stillness. The background remains blurred, focusing solely on the character's expressive journey, highlighting the raw, human experience of fleeting emotions.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Temporal Narrative Progression (Joy to Sorrow)", "reason_1": "Video 1 clearly depicts the requested sequence: starting with a bright smile and transitioning into a sorrowful expression with furrowed brows.", "reason_2": "Video 2 fails to show the transition; the character appears to be in a state of distress or crying from the very first frame, missing the 'initial joy' requirement.", "score_1": 9, "score_2": 1}, {"name": "Initial Emotional State (Joy & Warmth)", "reason_1": "Video 1 perfectly captures the 'sparkling eyes' and 'genuine smile' described in the prompt's opening.", "reason_2": "Video 2 completely misses the 'warmth and happiness' aspect, presenting a grimacing, pained expression throughout.", "score_1": 9, "score_2": 1}, {"name": "Specific Attribute Rendering (Tears & Furrows)", "reason_1": "Video 1 renders the specific details of the prompt, including the glistening eyes and the furrowing of the brows during the transition.", "reason_2": "While Video 2 has tears, it lacks the specific 'shadow crossing features' or the distinct change in brow shape requested, as the face is static in its distress.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 followed the chronological instructions of the prompt, showing the specific change in emotion. Video 2 ignored the 'initial joy' instruction entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "The character's facial structure in Video 1 remains consistent and solid throughout the animation.", "reason_2": "Video 2 exhibits severe warping and instability, particularly around the mouth and teeth, which shift unnaturally during the clip.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Definition", "reason_1": "Video 1 is a clean, sharp anime-style generation with no noise.", "reason_2": "Video 2 attempts photorealism but results in a muddy, low-contrast image with noticeable generation artifacts.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Coherence", "reason_1": "The movement in Video 1 is fluid and intentional, matching the anime aesthetic.", "reason_2": "The motion in Video 2 feels jittery and lacks a clear direction, appearing more like a morphing glitch than human movement.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high stability within its anime style. Video 2 suffers from significant morphological instability and artifacts in the facial features.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Arc & Impact", "reason_1": "Video 1 effectively conveys the 'poignant stillness' and the shift in mood, creating a complete micro-narrative.", "reason_2": "Video 2 lacks emotional range, presenting a single, confusing note of distress that fails to engage the viewer.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Atmospheric Tone", "reason_1": "Video 1 utilizes the 'softly lit' and 'sunlit' aesthetic well, with warm highlights that contrast with the sad ending.", "reason_2": "Video 2 has flat, dull lighting that fails to evoke the 'serene' or 'sunlit' atmosphere described.", "score_1": 8, "score_2": 2}, {"name": "Character Expressiveness", "reason_1": "The character in Video 1 displays a readable and distinct range of expressions.", "reason_2": "The expression in Video 2 is ambiguous and distorted, making it difficult to read the character's internal state.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully tells the emotional story requested. Video 2 is emotionally stagnant and visually confusing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the complex temporal narrative required by the prompt: starting with joy and transitioning into sorrow. It captures the specific emotional arc (smile to furrowed brows) and the atmospheric lighting. Video 2 fails significantly on semantic alignment; it depicts a character who appears to be in distress or crying from the very first frame, completely missing the 'initial joy' and 'warmth' mandated by the prompt. Additionally, Video 2 suffers from severe morphological instability in the facial features.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 60.55} +{"pair_id": "052_seed_310", "sample_index": 52, "seed": 310, "prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_310_In a bustling city square two distinct groups conv.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_310_In a bustling city square two distinct groups conv.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_310_In a bustling city square two distinct groups conv.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_310_In a bustling city square two distinct groups conv.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Grouping & Distinction\", \"reason_1\": \"Video 1 presents a chaotic, morphing mass of people where no distinct groups or ideologies can be identified.\", \"reason_2\": \"Video 2 clearly depicts a central group of individuals holding flags, distinct from the background crowd, aligning with the 'converging groups' requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Prop Fidelity (Banners & Phones)\", \"reason_1\": \"Video 1 generates vague, glitchy shapes that resemble flags but lack structural integrity, and the 'phone' element is barely discernible amidst the noise.\", \"reason_2\": \"Video 2 renders specific, recognizable objects: a large rainbow flag, a red flag, and a smartphone held by a central character.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Logic (Heated Exchange)\", \"reason_1\": \"The motion in Video 1 is random and fluid-like, lacking any logical human interaction or communicative intent.\", \"reason_2\": \"The characters in Video 2 are gesturing and looking at the phone, simulating a 'heated exchange' or recording of an event.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully renders the core semantic elements: a crowd, distinct flags (banners), and a smartphone capturing the moment. Video 1 fails to render distinct objects or coherent subjects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"Video 1 is a constant stream of morphing artifacts; faces melt, limbs disappear, and the environment shifts unnaturally.\", \"reason_2\": \"Video 2 maintains the shape and form of the subjects and flags consistently throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Anatomical Integrity\", \"reason_1\": \"Video 1 displays severe anatomical horror, with faces distorting into unrecognizable shapes and bodies merging into one another.\", \"reason_2\": \"While not perfect, the humans in Video 2 have recognizable faces and limbs that move somewhat naturally.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The video is blurry and plagued by generation artifacts, making it difficult to focus on any specific element.\", \"reason_2\": \"The image is relatively sharp, with clear separation between the foreground subjects and the background.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the most significant differentiator. Video 2 is stable and clear, while Video 1 exhibits severe 'melting' and hallucination artifacts typical of low-quality generation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 has no clear focal point; the camera movement is erratic and the framing is cluttered with morphing shapes.\", \"reason_2\": \"Video 2 uses a stable medium shot that effectively frames the main subjects and their interaction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tension\", \"reason_1\": \"The atmosphere is confusing and surreal rather than tense or charged, due to the lack of visual logic.\", \"reason_2\": \"The body language and proximity of the characters in Video 2 successfully convey a sense of a public gathering or confrontation.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Legibility\", \"reason_1\": \"It is impossible to discern a story or event from the visual noise presented in Video 1.\", \"reason_2\": \"A viewer can easily understand the scene: a protest or rally where people are filming a confrontation.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a watchable, framed scene that conveys a sense of event. Video 1 is visually unpleasant and narratively illegible.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior temporal stability and semantic coherence. It successfully depicts a recognizable scene with distinct subjects, flags, and a smartphone, maintaining object permanence throughout the clip. Video 1 suffers from catastrophic morphological failure, where subjects and objects constantly melt, morph, and lose identity, making the narrative unintelligible.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Grouping & Distinction", "reason_1": "Video 1 presents a chaotic, morphing mass of people where no distinct groups or ideologies can be identified.", "reason_2": "Video 2 clearly depicts a central group of individuals holding flags, distinct from the background crowd, aligning with the 'converging groups' requirement.", "score_1": 2, "score_2": 8}, {"name": "Prop Fidelity (Banners & Phones)", "reason_1": "Video 1 generates vague, glitchy shapes that resemble flags but lack structural integrity, and the 'phone' element is barely discernible amidst the noise.", "reason_2": "Video 2 renders specific, recognizable objects: a large rainbow flag, a red flag, and a smartphone held by a central character.", "score_1": 1, "score_2": 9}, {"name": "Action Logic (Heated Exchange)", "reason_1": "The motion in Video 1 is random and fluid-like, lacking any logical human interaction or communicative intent.", "reason_2": "The characters in Video 2 are gesturing and looking at the phone, simulating a 'heated exchange' or recording of an event.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully renders the core semantic elements: a crowd, distinct flags (banners), and a smartphone capturing the moment. Video 1 fails to render distinct objects or coherent subjects.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "Video 1 is a constant stream of morphing artifacts; faces melt, limbs disappear, and the environment shifts unnaturally.", "reason_2": "Video 2 maintains the shape and form of the subjects and flags consistently throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Anatomical Integrity", "reason_1": "Video 1 displays severe anatomical horror, with faces distorting into unrecognizable shapes and bodies merging into one another.", "reason_2": "While not perfect, the humans in Video 2 have recognizable faces and limbs that move somewhat naturally.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Sharpness", "reason_1": "The video is blurry and plagued by generation artifacts, making it difficult to focus on any specific element.", "reason_2": "The image is relatively sharp, with clear separation between the foreground subjects and the background.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the most significant differentiator. Video 2 is stable and clear, while Video 1 exhibits severe 'melting' and hallucination artifacts typical of low-quality generation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 has no clear focal point; the camera movement is erratic and the framing is cluttered with morphing shapes.", "reason_2": "Video 2 uses a stable medium shot that effectively frames the main subjects and their interaction.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tension", "reason_1": "The atmosphere is confusing and surreal rather than tense or charged, due to the lack of visual logic.", "reason_2": "The body language and proximity of the characters in Video 2 successfully convey a sense of a public gathering or confrontation.", "score_1": 3, "score_2": 7}, {"name": "Narrative Legibility", "reason_1": "It is impossible to discern a story or event from the visual noise presented in Video 1.", "reason_2": "A viewer can easily understand the scene: a protest or rally where people are filming a confrontation.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a watchable, framed scene that conveys a sense of event. Video 1 is visually unpleasant and narratively illegible.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior temporal stability and semantic coherence. It successfully depicts a recognizable scene with distinct subjects, flags, and a smartphone, maintaining object permanence throughout the clip. Video 1 suffers from catastrophic morphological failure, where subjects and objects constantly melt, morph, and lose identity, making the narrative unintelligible.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 59.142} +{"pair_id": "055_seed_42", "sample_index": 55, "seed": 42, "prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_42_A young professional seated at a sleek desk in a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Browsing to Discovery)\", \"reason_1\": \"Video 1 clearly depicts the transition from working to stopping and looking at the screen with intent.\", \"reason_2\": \"Video 2 shows the subject staring blankly and then leaning back in a way that feels disconnected from the 'discovery' narrative.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement (Zoom Execution)\", \"reason_1\": \"Video 1 executes a smooth, cinematic push-in (zoom) that focuses attention on the subject's reaction as requested.\", \"reason_2\": \"Video 2 features a shaky, handheld-style camera motion that lacks the deliberate 'zoom in' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Office & Skyline)\", \"reason_1\": \"Video 1 renders a convincing modern office with a clear city view and appropriate lighting.\", \"reason_2\": \"Video 2's background is cluttered and the monitor displays a nonsensical, glitchy schematic rather than 'digital files'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately follows the sequence of events: browsing, reacting, and the camera zoom. Video 2 fails to depict the 'browsing' phase convincingly and the camera movement is erratic rather than a controlled zoom.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Eye Stability\", \"reason_1\": \"The subject's face remains anatomically correct and attractive throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'uncanny valley' effects; the eyes bulge unnaturally and the facial structure warps during the reaction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Logic (Monitor Content)\", \"reason_1\": \"The monitor in Video 1 displays a plausible interface resembling data or files.\", \"reason_2\": \"The monitor in Video 2 displays a strange, floating schematic that looks like a generation artifact rather than a screen interface.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and natural.\", \"reason_2\": \"The subject's movements are jerky and the leaning motion feels physically weightless and distorted.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high realism and stability. Video 2 collapses in quality with significant facial distortion and unnatural eye movements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity (Curiosity to Astonishment)\", \"reason_1\": \"The expression shift is subtle and realistic, conveying genuine interest.\", \"reason_2\": \"The expression is exaggerated to the point of horror, failing to convey 'astonishment' or 'contemplation'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Lighting\", \"reason_1\": \"Lighting is soft and professional, matching the 'modern office' aesthetic.\", \"reason_2\": \"The lighting is flatter and the composition is marred by the distorted subject and background artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Pacing\", \"reason_1\": \"The clip has a clear beginning, middle (climax/reaction), and end.\", \"reason_2\": \"The clip feels random and lacks a cohesive narrative arc due to the erratic motion.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully creates a professional, cinematic look with a readable emotional arc. Video 2 creates an unintentional horror aesthetic due to the distortions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"D. Character Performance & Micro-Expressions\", \"dims\": [{\"name\": \"Eye Contact & Focus\", \"reason_1\": \"The subject's gaze is directed at the screen, anchoring the viewer in the narrative.\", \"reason_2\": \"The subject's eyes wander and bulge, breaking the illusion of them looking at a specific 'discovery'.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Reaction Subtlety\", \"reason_1\": \"The widening of the eyes is gradual and believable.\", \"reason_2\": \"The reaction is sudden and grotesque, lacking the requested subtlety.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Body Language (Leaning/Hovering)\", \"reason_1\": \"The lean forward is motivated by interest, and the hands remain near the keyboard.\", \"reason_2\": \"The body language is stiff and the hands appear disconnected from the action of typing or hovering.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This personalized category evaluates the specific acting requirements (eyes widening, leaning). Video 1 provides a human-like performance, while Video 2 provides a caricature.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It delivers a photorealistic, stable, and narratively coherent interpretation of the prompt. The character's reaction is subtle and believable, the camera zoom is smooth, and the environment is rendered with high fidelity. Video 2 suffers from severe morphological instability, particularly in the subject's face and eyes, which distort into an uncanny and unrealistic state. Additionally, Video 2 fails to render the monitor content logically and lacks the cinematic polish of Video 1.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Browsing to Discovery)", "reason_1": "Video 1 clearly depicts the transition from working to stopping and looking at the screen with intent.", "reason_2": "Video 2 shows the subject staring blankly and then leaning back in a way that feels disconnected from the 'discovery' narrative.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement (Zoom Execution)", "reason_1": "Video 1 executes a smooth, cinematic push-in (zoom) that focuses attention on the subject's reaction as requested.", "reason_2": "Video 2 features a shaky, handheld-style camera motion that lacks the deliberate 'zoom in' instruction.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Office & Skyline)", "reason_1": "Video 1 renders a convincing modern office with a clear city view and appropriate lighting.", "reason_2": "Video 2's background is cluttered and the monitor displays a nonsensical, glitchy schematic rather than 'digital files'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately follows the sequence of events: browsing, reacting, and the camera zoom. Video 2 fails to depict the 'browsing' phase convincingly and the camera movement is erratic rather than a controlled zoom.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Eye Stability", "reason_1": "The subject's face remains anatomically correct and attractive throughout the clip.", "reason_2": "Video 2 suffers from severe 'uncanny valley' effects; the eyes bulge unnaturally and the facial structure warps during the reaction.", "score_1": 9, "score_2": 1}, {"name": "Object Logic (Monitor Content)", "reason_1": "The monitor in Video 1 displays a plausible interface resembling data or files.", "reason_2": "The monitor in Video 2 displays a strange, floating schematic that looks like a generation artifact rather than a screen interface.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and natural.", "reason_2": "The subject's movements are jerky and the leaning motion feels physically weightless and distorted.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high realism and stability. Video 2 collapses in quality with significant facial distortion and unnatural eye movements.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity (Curiosity to Astonishment)", "reason_1": "The expression shift is subtle and realistic, conveying genuine interest.", "reason_2": "The expression is exaggerated to the point of horror, failing to convey 'astonishment' or 'contemplation'.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Lighting", "reason_1": "Lighting is soft and professional, matching the 'modern office' aesthetic.", "reason_2": "The lighting is flatter and the composition is marred by the distorted subject and background artifacts.", "score_1": 8, "score_2": 2}, {"name": "Narrative Pacing", "reason_1": "The clip has a clear beginning, middle (climax/reaction), and end.", "reason_2": "The clip feels random and lacks a cohesive narrative arc due to the erratic motion.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully creates a professional, cinematic look with a readable emotional arc. Video 2 creates an unintentional horror aesthetic due to the distortions.", "cat_winner": "Video 1"}, {"name": "D. Character Performance & Micro-Expressions", "dims": [{"name": "Eye Contact & Focus", "reason_1": "The subject's gaze is directed at the screen, anchoring the viewer in the narrative.", "reason_2": "The subject's eyes wander and bulge, breaking the illusion of them looking at a specific 'discovery'.", "score_1": 9, "score_2": 1}, {"name": "Reaction Subtlety", "reason_1": "The widening of the eyes is gradual and believable.", "reason_2": "The reaction is sudden and grotesque, lacking the requested subtlety.", "score_1": 8, "score_2": 2}, {"name": "Body Language (Leaning/Hovering)", "reason_1": "The lean forward is motivated by interest, and the hands remain near the keyboard.", "reason_2": "The body language is stiff and the hands appear disconnected from the action of typing or hovering.", "score_1": 7, "score_2": 3}], "cat_reason": "This personalized category evaluates the specific acting requirements (eyes widening, leaning). Video 1 provides a human-like performance, while Video 2 provides a caricature.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It delivers a photorealistic, stable, and narratively coherent interpretation of the prompt. The character's reaction is subtle and believable, the camera zoom is smooth, and the environment is rendered with high fidelity. Video 2 suffers from severe morphological instability, particularly in the subject's face and eyes, which distort into an uncanny and unrealistic state. Additionally, Video 2 fails to render the monitor content logically and lacks the cinematic polish of Video 1.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 97.0, "total_score_2": 23.0, "elapsed_sec": 71.804} +{"pair_id": "057_seed_930", "sample_index": 57, "seed": 930, "prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_057_seed_930_In a vibrant park setting two distinct communities.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dual-Group Distinction (Traditional vs. Modern)\", \"reason_1\": \"Video 1 fails to separate the groups; the 'modern' dancers are dressed in casual street clothes that blend indistinguishably with the traditional performers.\", \"reason_2\": \"Video 2 clearly delineates two groups: one in elaborate, colorful traditional costumes and another in sleek, modern black-and-white outfits, perfectly matching the prompt's contrast requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Interaction Logic (Mingling & Teaching)\", \"reason_1\": \"The interaction in Video 1 is chaotic and lacks the specific 'teaching' or 'exchanging steps' dynamic; it appears as a random crowd.\", \"reason_2\": \"Video 2 depicts a clear moment of connection where a modern dancer and a traditional dancer engage in a specific dance move together, fulfilling the 'teaching' and 'fusion' aspect of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Prop & Attribute Fidelity (Drums/Flutes)\", \"reason_1\": \"Video 1 features prominent, large drums that are rendered with high detail and texture, strongly anchoring the 'rhythmic drumming' prompt element.\", \"reason_2\": \"Video 2 includes the props, but they are slightly less detailed and prominent compared to the massive drums in Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 accurately renders the two distinct groups and their specific attire, whereas Video 1 fails to visually distinguish the 'modern' community from the traditional one.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The faces and bodies in Video 1 morph significantly throughout the clip, losing identity consistency.\", \"reason_2\": \"Video 2 maintains the identity of the main dancers (the man in the leather jacket and the woman in the yellow dress) with much higher stability.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The movement in Video 1 is somewhat floaty and lacks weight, with limbs occasionally blending into the background.\", \"reason_2\": \"Video 2 displays more grounded movement; the dancers' steps connect better with the floor, and the interaction between the two dancers follows logical physical space.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 has a slightly softer, more 'dreamy' focus which obscures details.\", \"reason_2\": \"Video 2 is sharper, allowing for clearer distinction of the clothing textures and facial features.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 maintains better subject consistency and clearer motion, whereas Video 1 suffers from significant morphing and identity loss.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Fusion Arc)\", \"reason_1\": \"Video 1 feels like a static loop of a festival without a clear beginning, middle, or progression toward mingling.\", \"reason_2\": \"Video 2 captures the narrative arc of the prompt: starting with separate groups and progressing to a specific moment of cultural exchange and fusion.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is cluttered, often cutting off heads or obscuring the action with foreground elements.\", \"reason_2\": \"Video 2 uses a wider shot that effectively frames both groups and their interaction, allowing the viewer to see the contrast in styles clearly.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmosphere & Energy\", \"reason_1\": \"Video 1 successfully captures a high-energy, vibrant festival atmosphere with bright colors.\", \"reason_2\": \"Video 2 also succeeds in creating a lively atmosphere, balancing the energy of the drummers with the fluidity of the dancers.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 effectively tells the story of cultural exchange through its composition and staging, while Video 1 is a generic crowd shot.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it successfully visualizes the core narrative requirement of 'two distinct communities' with contrasting styles (traditional vs. modern). It clearly depicts the interaction and 'teaching' moment described in the prompt. Video 1, while vibrant, fails to distinguish the modern community, blending everyone into a single, indistinct group, and suffers from lower temporal stability.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a vibrant park setting, two distinct communities gather for a shared cultural festival, each bringing unique traditions and energy. On one side, a group dressed in colorful, traditional attire performs a lively folk dance, their movements synchronized and joyful, accompanied by rhythmic drumming and melodic flutes. Opposite them, another community showcases a modern dance routine, wearing sleek, contemporary outfits, moving to the beat of electronic music with fluid, expressive gestures. The camera pans between the two groups, capturing the contrast in styles and the harmonious blend of sounds. As the event progresses, members from both communities begin to mingle, exchanging smiles and teaching each other dance steps, creating a dynamic fusion of tradition and modernity, highlighting the beauty of cultural exchange and mutual respect.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dual-Group Distinction (Traditional vs. Modern)", "reason_1": "Video 1 fails to separate the groups; the 'modern' dancers are dressed in casual street clothes that blend indistinguishably with the traditional performers.", "reason_2": "Video 2 clearly delineates two groups: one in elaborate, colorful traditional costumes and another in sleek, modern black-and-white outfits, perfectly matching the prompt's contrast requirement.", "score_1": 2, "score_2": 8}, {"name": "Interaction Logic (Mingling & Teaching)", "reason_1": "The interaction in Video 1 is chaotic and lacks the specific 'teaching' or 'exchanging steps' dynamic; it appears as a random crowd.", "reason_2": "Video 2 depicts a clear moment of connection where a modern dancer and a traditional dancer engage in a specific dance move together, fulfilling the 'teaching' and 'fusion' aspect of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Prop & Attribute Fidelity (Drums/Flutes)", "reason_1": "Video 1 features prominent, large drums that are rendered with high detail and texture, strongly anchoring the 'rhythmic drumming' prompt element.", "reason_2": "Video 2 includes the props, but they are slightly less detailed and prominent compared to the massive drums in Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 accurately renders the two distinct groups and their specific attire, whereas Video 1 fails to visually distinguish the 'modern' community from the traditional one.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The faces and bodies in Video 1 morph significantly throughout the clip, losing identity consistency.", "reason_2": "Video 2 maintains the identity of the main dancers (the man in the leather jacket and the woman in the yellow dress) with much higher stability.", "score_1": 3, "score_2": 7}, {"name": "Motion Coherence & Physics", "reason_1": "The movement in Video 1 is somewhat floaty and lacks weight, with limbs occasionally blending into the background.", "reason_2": "Video 2 displays more grounded movement; the dancers' steps connect better with the floor, and the interaction between the two dancers follows logical physical space.", "score_1": 4, "score_2": 6}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 has a slightly softer, more 'dreamy' focus which obscures details.", "reason_2": "Video 2 is sharper, allowing for clearer distinction of the clothing textures and facial features.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 maintains better subject consistency and clearer motion, whereas Video 1 suffers from significant morphing and identity loss.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Fusion Arc)", "reason_1": "Video 1 feels like a static loop of a festival without a clear beginning, middle, or progression toward mingling.", "reason_2": "Video 2 captures the narrative arc of the prompt: starting with separate groups and progressing to a specific moment of cultural exchange and fusion.", "score_1": 3, "score_2": 7}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is cluttered, often cutting off heads or obscuring the action with foreground elements.", "reason_2": "Video 2 uses a wider shot that effectively frames both groups and their interaction, allowing the viewer to see the contrast in styles clearly.", "score_1": 4, "score_2": 6}, {"name": "Atmosphere & Energy", "reason_1": "Video 1 successfully captures a high-energy, vibrant festival atmosphere with bright colors.", "reason_2": "Video 2 also succeeds in creating a lively atmosphere, balancing the energy of the drummers with the fluidity of the dancers.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 effectively tells the story of cultural exchange through its composition and staging, while Video 1 is a generic crowd shot.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it successfully visualizes the core narrative requirement of 'two distinct communities' with contrasting styles (traditional vs. modern). It clearly depicts the interaction and 'teaching' moment described in the prompt. Video 1, while vibrant, fails to distinguish the modern community, blending everyone into a single, indistinct group, and suffers from lower temporal stability.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 34.0, "total_score_2": 56.0, "elapsed_sec": 62.494} +{"pair_id": "060_seed_310", "sample_index": 60, "seed": 310, "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_310_A young adult wearing a gray hoodie and jeans stan.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_310_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_310_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_310_A young adult wearing a gray hoodie and jeans stan.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Multi-Scene Narrative Progression\", \"reason_1\": \"Video 1 clearly transitions from the street to an interior room, capturing the narrative shift requested.\", \"reason_2\": \"Video 2 remains largely static in the street setting and fails to transition to the apartment or rooftop scenes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attribute Consistency (Hoodie/Jeans)\", \"reason_1\": \"The subject consistently wears the requested gray hoodie and jeans throughout the clip.\", \"reason_2\": \"The subject correctly wears the gray hoodie, though the framing often cuts off the jeans.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Detail (Cluttered Desk/Neon)\", \"reason_1\": \"Video 1 renders a detailed background with papers and items on a desk, matching the 'cluttered' description.\", \"reason_2\": \"Video 2 shows a generic background with no distinct 'cluttered desk' or specific environmental details.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 attempts to depict the sequence of events (street to interior), whereas Video 2 stays stuck in the initial setting.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The subject's face remains consistent and recognizable across the different shots.\", \"reason_2\": \"The subject's facial features morph significantly, looking like a different person in the second half of the clip.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Realism\", \"reason_1\": \"The neon lights reflect naturally on the subject's face and hoodie, creating a realistic night atmosphere.\", \"reason_2\": \"The lighting is flatter and less dynamic, with less interaction between the environment and the subject.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity & Stability\", \"reason_1\": \"The movement of the subject walking is relatively smooth and grounded.\", \"reason_2\": \"The motion feels slightly jittery, and the background elements lack temporal stability.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 maintains a stable character identity and realistic lighting, while Video 2 suffers from facial morphing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Vulnerability/Determination)\", \"reason_1\": \"The subject's expression effectively conveys the requested mix of vulnerability and contemplation.\", \"reason_2\": \"The subject's expression is somewhat blank and inconsistent due to the morphing artifacts.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Uses depth of field effectively to separate the subject from the busy background, enhancing the cinematic feel.\", \"reason_2\": \"The composition is flatter with less effective separation between subject and background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Tone (Neon/Night)\", \"reason_1\": \"Successfully establishes a moody, urban night atmosphere consistent with the prompt.\", \"reason_2\": \"The atmosphere is generic and lacks the specific 'dimly lit' and 'neon' moodiness of Video 1.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the emotional tone and cinematic look of the prompt much better than the flatter presentation of Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully attempts the multi-scene narrative progression required by the prompt, transitioning from the street to an interior setting with the correct props (cluttered desk). It also maintains superior subject identity and lighting consistency. Video 2 fails to progress the narrative, remaining in the street setting, and suffers from significant facial morphing and lower visual fidelity.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Multi-Scene Narrative Progression", "reason_1": "Video 1 clearly transitions from the street to an interior room, capturing the narrative shift requested.", "reason_2": "Video 2 remains largely static in the street setting and fails to transition to the apartment or rooftop scenes.", "score_1": 8, "score_2": 2}, {"name": "Subject Attribute Consistency (Hoodie/Jeans)", "reason_1": "The subject consistently wears the requested gray hoodie and jeans throughout the clip.", "reason_2": "The subject correctly wears the gray hoodie, though the framing often cuts off the jeans.", "score_1": 5, "score_2": 5}, {"name": "Environmental Detail (Cluttered Desk/Neon)", "reason_1": "Video 1 renders a detailed background with papers and items on a desk, matching the 'cluttered' description.", "reason_2": "Video 2 shows a generic background with no distinct 'cluttered desk' or specific environmental details.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 attempts to depict the sequence of events (street to interior), whereas Video 2 stays stuck in the initial setting.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The subject's face remains consistent and recognizable across the different shots.", "reason_2": "The subject's facial features morph significantly, looking like a different person in the second half of the clip.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Realism", "reason_1": "The neon lights reflect naturally on the subject's face and hoodie, creating a realistic night atmosphere.", "reason_2": "The lighting is flatter and less dynamic, with less interaction between the environment and the subject.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity & Stability", "reason_1": "The movement of the subject walking is relatively smooth and grounded.", "reason_2": "The motion feels slightly jittery, and the background elements lack temporal stability.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 maintains a stable character identity and realistic lighting, while Video 2 suffers from facial morphing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Vulnerability/Determination)", "reason_1": "The subject's expression effectively conveys the requested mix of vulnerability and contemplation.", "reason_2": "The subject's expression is somewhat blank and inconsistent due to the morphing artifacts.", "score_1": 7, "score_2": 3}, {"name": "Cinematic Composition & Depth", "reason_1": "Uses depth of field effectively to separate the subject from the busy background, enhancing the cinematic feel.", "reason_2": "The composition is flatter with less effective separation between subject and background.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Tone (Neon/Night)", "reason_1": "Successfully establishes a moody, urban night atmosphere consistent with the prompt.", "reason_2": "The atmosphere is generic and lacks the specific 'dimly lit' and 'neon' moodiness of Video 1.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the emotional tone and cinematic look of the prompt much better than the flatter presentation of Video 2.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully attempts the multi-scene narrative progression required by the prompt, transitioning from the street to an interior setting with the correct props (cluttered desk). It also maintains superior subject identity and lighting consistency. Video 2 fails to progress the narrative, remaining in the street setting, and suffers from significant facial morphing and lower visual fidelity.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 63.0, "total_score_2": 27.0, "elapsed_sec": 54.134} +{"pair_id": "063_seed_42", "sample_index": 63, "seed": 42, "prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_42_In a dimly lit laboratory filled with advanced equ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_42_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_42_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_42_In a dimly lit laboratory filled with advanced equ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Tone)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'clandestine' atmosphere with dramatic shadows and cool tones.\", \"reason_2\": \"Video 2 presents a brightly lit, sterile environment that resembles a standard hospital, completely missing the 'dimly lit' and 'tense' requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Expression (Moral Conflict)\", \"reason_1\": \"The scientist in Video 1 displays a furrowed brow and intense gaze, effectively conveying the requested 'determination and moral conflict'.\", \"reason_2\": \"The subject in Video 2 has a neutral, almost blank expression that fails to convey any specific emotion or internal conflict.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Specificity (Recording Data)\", \"reason_1\": \"Video 1 clearly shows the scientist actively writing on a clipboard, aligning with 'meticulously records data'.\", \"reason_2\": \"Video 2 shows the scientist holding a folder, but the action is static and lacks the active engagement of recording.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Object Detail (Files & Warnings)\", \"reason_1\": \"Video 1 includes a clipboard with visible red markings, aligning with the 'files marked with red warnings'.\", \"reason_2\": \"Video 2 shows a generic folder with no distinct warning markings or specific details.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 adheres strictly to the atmospheric and emotional descriptors in the prompt, whereas Video 2 ignores the lighting and mood instructions entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 features high-quality skin textures, realistic fabric folds, and sharp details on the equipment.\", \"reason_2\": \"Video 2 has a smoother, more artificial 'plastic' look common in lower-tier generations, lacking fine texture detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Realism & Depth\", \"reason_1\": \"Video 1 utilizes complex lighting with realistic falloff and shadows, creating genuine depth.\", \"reason_2\": \"Video 2 uses flat, even lighting that washes out the scene and reduces the sense of three-dimensional space.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The scientist's facial features remain consistent throughout the clip.\", \"reason_2\": \"The scientist's face is consistent, though the lack of movement makes this easier to achieve.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering and lighting complexity, creating a more photorealistic image compared to the flatter look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses an over-the-shoulder shot and depth of field to focus attention and create a cinematic look.\", \"reason_2\": \"Video 2 uses a flat, medium shot that feels like stock footage with no artistic framing intent.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Mood (Tension)\", \"reason_1\": \"The color grading and shadows in Video 1 immediately establish the 'tense' and 'unauthorized' narrative mood.\", \"reason_2\": \"The bright, clinical look of Video 2 conveys a routine medical procedure, completely failing to suggest a narrative of ethical dilemma.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement Intent\", \"reason_1\": \"Video 1 has subtle camera movement that adds dynamism, though it doesn't perfectly execute the specific 'pan to reveal' requested.\", \"reason_2\": \"Video 2 is largely static, lacking the dynamic camera work implied by the prompt's description of panning and zooming.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 employs cinematic techniques like depth of field and dramatic framing to tell a story, while Video 2 lacks narrative tension.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the critical atmospheric and emotional requirements of the prompt. It delivers the 'dimly lit,' 'clandestine,' and 'tense' mood with cinematic lighting and a convincing portrayal of the scientist's 'moral conflict.' Video 2, while stable, fails to adhere to the lighting and mood constraints, presenting a bright, sterile, and emotionally neutral scene that contradicts the narrative of an unauthorized, tense experiment.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Tone)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'clandestine' atmosphere with dramatic shadows and cool tones.", "reason_2": "Video 2 presents a brightly lit, sterile environment that resembles a standard hospital, completely missing the 'dimly lit' and 'tense' requirement.", "score_1": 9, "score_2": 1}, {"name": "Subject Expression (Moral Conflict)", "reason_1": "The scientist in Video 1 displays a furrowed brow and intense gaze, effectively conveying the requested 'determination and moral conflict'.", "reason_2": "The subject in Video 2 has a neutral, almost blank expression that fails to convey any specific emotion or internal conflict.", "score_1": 8, "score_2": 2}, {"name": "Action Specificity (Recording Data)", "reason_1": "Video 1 clearly shows the scientist actively writing on a clipboard, aligning with 'meticulously records data'.", "reason_2": "Video 2 shows the scientist holding a folder, but the action is static and lacks the active engagement of recording.", "score_1": 7, "score_2": 3}, {"name": "Object Detail (Files & Warnings)", "reason_1": "Video 1 includes a clipboard with visible red markings, aligning with the 'files marked with red warnings'.", "reason_2": "Video 2 shows a generic folder with no distinct warning markings or specific details.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 adheres strictly to the atmospheric and emotional descriptors in the prompt, whereas Video 2 ignores the lighting and mood instructions entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture", "reason_1": "Video 1 features high-quality skin textures, realistic fabric folds, and sharp details on the equipment.", "reason_2": "Video 2 has a smoother, more artificial 'plastic' look common in lower-tier generations, lacking fine texture detail.", "score_1": 8, "score_2": 2}, {"name": "Lighting Realism & Depth", "reason_1": "Video 1 utilizes complex lighting with realistic falloff and shadows, creating genuine depth.", "reason_2": "Video 2 uses flat, even lighting that washes out the scene and reduces the sense of three-dimensional space.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The scientist's facial features remain consistent throughout the clip.", "reason_2": "The scientist's face is consistent, though the lack of movement makes this easier to achieve.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 demonstrates superior texture rendering and lighting complexity, creating a more photorealistic image compared to the flatter look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses an over-the-shoulder shot and depth of field to focus attention and create a cinematic look.", "reason_2": "Video 2 uses a flat, medium shot that feels like stock footage with no artistic framing intent.", "score_1": 8, "score_2": 2}, {"name": "Narrative Mood (Tension)", "reason_1": "The color grading and shadows in Video 1 immediately establish the 'tense' and 'unauthorized' narrative mood.", "reason_2": "The bright, clinical look of Video 2 conveys a routine medical procedure, completely failing to suggest a narrative of ethical dilemma.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement Intent", "reason_1": "Video 1 has subtle camera movement that adds dynamism, though it doesn't perfectly execute the specific 'pan to reveal' requested.", "reason_2": "Video 2 is largely static, lacking the dynamic camera work implied by the prompt's description of panning and zooming.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 employs cinematic techniques like depth of field and dramatic framing to tell a story, while Video 2 lacks narrative tension.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the critical atmospheric and emotional requirements of the prompt. It delivers the 'dimly lit,' 'clandestine,' and 'tense' mood with cinematic lighting and a convincing portrayal of the scientist's 'moral conflict.' Video 2, while stable, fails to adhere to the lighting and mood constraints, presenting a bright, sterile, and emotionally neutral scene that contradicts the narrative of an unauthorized, tense experiment.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 76.0, "total_score_2": 24.0, "elapsed_sec": 63.264} +{"pair_id": "065_seed_930", "sample_index": 65, "seed": 930, "prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_065_seed_930_A news anchor dressed in a crisp suit sits at a sl.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \\\"Alien Invasion Imminent?\\\" and \\\"World on Alert!\\\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Text Rendering Accuracy (Headlines)\", \"reason_1\": \"Video 1 clearly renders the specific text 'Alien Invasion Imminent?' on the studio screen, matching the prompt perfectly.\", \"reason_2\": \"Video 2 displays garbled, illegible text that only vaguely resembles the shape of letters, failing the specific text requirement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Sequence & Scene Transitions\", \"reason_1\": \"Video 1 follows the requested sequence: Anchor -> Command Center -> Public Reaction, with distinct cuts.\", \"reason_2\": \"Video 2 attempts the sequence but the transitions are messy, and the 'Command Center' scene is barely recognizable due to visual noise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject & Environment Completeness\", \"reason_1\": \"Video 1 includes the anchor, the command center with officials, and the crowd with smartphones as requested.\", \"reason_2\": \"Video 2 includes the anchor and crowd, but the command center is poorly defined and the environment lacks the 'high-tech' detail requested.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately renders the specific text requested in the prompt and follows the narrative sequence clearly. Video 2 fails to render legible text and struggles to distinguish the command center scene from the studio.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Objects)\", \"reason_1\": \"The anchor and background elements in Video 1 remain solid and consistent in form throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' effects; the anchor's face distorts significantly, and the crowd faces are nightmarish and unstable.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"Video 1 is sharp, with clear definition between the foreground and background elements.\", \"reason_2\": \"Video 2 is blurry and noisy, with significant artifacts obscuring details in the crowd and background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The news anchor in Video 1 maintains a consistent appearance across the shots.\", \"reason_2\": \"The anchor in Video 2 changes facial structure and lighting conditions drastically between frames, losing identity coherence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable, albeit slightly stylized, image with consistent subject identity. Video 2 suffers from catastrophic morphological failure, with faces and objects melting and distorting heavily.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"News Broadcast Aesthetic\", \"reason_1\": \"Video 1 successfully mimics the visual language of a TV news broadcast, including the studio layout and screen graphics.\", \"reason_2\": \"Video 2 fails to capture a professional broadcast look, appearing more like a corrupted video file.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses standard, effective framing for a news anchor and wide shots for the crowd.\", \"reason_2\": \"Video 2 has awkward framing, often cutting off heads or placing subjects in confusing spatial relationships.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is clean, colorful, and easy to watch.\", \"reason_2\": \"The video is visually disturbing due to the high level of distortion and artifacts.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 effectively captures the aesthetic of a professional news broadcast with appropriate framing and composition. Video 2's aesthetic is ruined by technical glitches and poor composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully renders the specific text required by the prompt ('Alien Invasion Imminent?') and maintains high structural stability throughout the scene transitions. Video 2, while attempting the correct narrative flow, suffers from severe morphological instability, with faces and objects melting and distorting significantly, and fails to render legible text.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A news anchor, dressed in a crisp suit, sits at a sleek desk in a modern studio, delivering breaking news about an alleged alien invasion. Behind him, a large screen displays sensational headlines like \"Alien Invasion Imminent?\" and \"World on Alert!\" The scene shifts to government officials in a high-tech command center, urgently discussing strategies, with maps and data projected on large screens. Next, the camera captures public reactions: people gathered in city squares, some looking skyward in awe, others in panic, while smartphones capture the moment. The video concludes with a montage of newspaper headlines, flashing images of UFO sightings, and a voiceover urging calm amidst the chaos.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Text Rendering Accuracy (Headlines)", "reason_1": "Video 1 clearly renders the specific text 'Alien Invasion Imminent?' on the studio screen, matching the prompt perfectly.", "reason_2": "Video 2 displays garbled, illegible text that only vaguely resembles the shape of letters, failing the specific text requirement.", "score_1": 9, "score_2": 1}, {"name": "Narrative Sequence & Scene Transitions", "reason_1": "Video 1 follows the requested sequence: Anchor -> Command Center -> Public Reaction, with distinct cuts.", "reason_2": "Video 2 attempts the sequence but the transitions are messy, and the 'Command Center' scene is barely recognizable due to visual noise.", "score_1": 8, "score_2": 2}, {"name": "Subject & Environment Completeness", "reason_1": "Video 1 includes the anchor, the command center with officials, and the crowd with smartphones as requested.", "reason_2": "Video 2 includes the anchor and crowd, but the command center is poorly defined and the environment lacks the 'high-tech' detail requested.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately renders the specific text requested in the prompt and follows the narrative sequence clearly. Video 2 fails to render legible text and struggles to distinguish the command center scene from the studio.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Objects)", "reason_1": "The anchor and background elements in Video 1 remain solid and consistent in form throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' effects; the anchor's face distorts significantly, and the crowd faces are nightmarish and unstable.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Clarity", "reason_1": "Video 1 is sharp, with clear definition between the foreground and background elements.", "reason_2": "Video 2 is blurry and noisy, with significant artifacts obscuring details in the crowd and background.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The news anchor in Video 1 maintains a consistent appearance across the shots.", "reason_2": "The anchor in Video 2 changes facial structure and lighting conditions drastically between frames, losing identity coherence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable, albeit slightly stylized, image with consistent subject identity. Video 2 suffers from catastrophic morphological failure, with faces and objects melting and distorting heavily.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "News Broadcast Aesthetic", "reason_1": "Video 1 successfully mimics the visual language of a TV news broadcast, including the studio layout and screen graphics.", "reason_2": "Video 2 fails to capture a professional broadcast look, appearing more like a corrupted video file.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "Video 1 uses standard, effective framing for a news anchor and wide shots for the crowd.", "reason_2": "Video 2 has awkward framing, often cutting off heads or placing subjects in confusing spatial relationships.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video is clean, colorful, and easy to watch.", "reason_2": "The video is visually disturbing due to the high level of distortion and artifacts.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 effectively captures the aesthetic of a professional news broadcast with appropriate framing and composition. Video 2's aesthetic is ruined by technical glitches and poor composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully renders the specific text required by the prompt ('Alien Invasion Imminent?') and maintains high structural stability throughout the scene transitions. Video 2, while attempting the correct narrative flow, suffers from severe morphological instability, with faces and objects melting and distorting significantly, and fails to render legible text.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 57.643} +{"pair_id": "068_seed_310", "sample_index": 68, "seed": 310, "prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_310_In a bustling metropolis the camera captures the h.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_310_In a bustling metropolis the camera captures the h.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_310_In a bustling metropolis the camera captures the h.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_310_In a bustling metropolis the camera captures the h.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Metropolis & Skyline)\", \"reason_1\": \"Video 1 depicts a narrow, enclosed street with no visible skyline, failing to capture the 'bustling metropolis' scale.\", \"reason_2\": \"Video 2 clearly displays a cityscape with high-rise buildings in the background, silhouetted against the smoke as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Specificity (Rebels & Scarves)\", \"reason_1\": \"Video 1 shows generic combatants; the specific detail of rebels with 'faces obscured by scarves' is not clearly distinguishable.\", \"reason_2\": \"Video 2 explicitly renders a group of figures with faces covered by scarves in the foreground, aligning perfectly with the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Logic (Clashes & Chaos)\", \"reason_1\": \"Video 1 captures the 'fierce clashes' and 'heart-pounding chaos' with dynamic movement and explosions.\", \"reason_2\": \"Video 2 is relatively static; the figures are posing rather than engaging in the active 'fierce clashes' described.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Key Object Presence (Burning Vehicles)\", \"reason_1\": \"Video 1 features a prominent burning vehicle in the foreground, matching the prompt's description of smoke billowing from vehicles.\", \"reason_2\": \"Video 2 includes a vehicle, but it is not clearly burning or emitting the heavy smoke described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 2 accurately renders the specific environmental and subject details requested, such as the skyline and the scarves, which Video 1 misses.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture detail on the uniforms and environment.\", \"reason_2\": \"The video is sharp, with high-definition textures on the rubble, uniforms, and background buildings.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability (Subject Consistency)\", \"reason_1\": \"The soldiers' faces and bodies warp and distort significantly during movement.\", \"reason_2\": \"The subjects maintain their form and identity consistently throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion is jerky and unnatural, with characters appearing to slide or float rather than run.\", \"reason_2\": \"The motion is limited but smooth and physically grounded, without the glitchy artifacts seen in Video 1.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, offering a sharp, stable image, whereas Video 1 suffers from severe blur and distortion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Dark Haze & Glow)\", \"reason_1\": \"Video 1 successfully creates a dark, hazy, and ominous atmosphere with fire lighting.\", \"reason_2\": \"Video 2 is too bright and evenly lit, lacking the 'ominous glow' and 'dark haze' requested.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The framing is tight and somewhat claustrophobic, lacking depth.\", \"reason_2\": \"The composition uses depth effectively, placing rebels in the foreground and the skyline in the background.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The scene is chaotic to the point of confusion; it is hard to distinguish specific narrative elements.\", \"reason_2\": \"The distinct separation of elements (rebels, soldier, city) makes the narrative scene easier to read.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a more composed and cinematic look with better depth, although Video 1 captures the 'dark' mood better.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly higher visual fidelity, stability, and semantic accuracy regarding the specific environmental and subject details (skyline, scarves). While Video 1 captures the chaotic atmosphere well, it suffers from severe morphological instability, low resolution, and fails to depict the requested cityscape context.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Metropolis & Skyline)", "reason_1": "Video 1 depicts a narrow, enclosed street with no visible skyline, failing to capture the 'bustling metropolis' scale.", "reason_2": "Video 2 clearly displays a cityscape with high-rise buildings in the background, silhouetted against the smoke as requested.", "score_1": 2, "score_2": 8}, {"name": "Subject Specificity (Rebels & Scarves)", "reason_1": "Video 1 shows generic combatants; the specific detail of rebels with 'faces obscured by scarves' is not clearly distinguishable.", "reason_2": "Video 2 explicitly renders a group of figures with faces covered by scarves in the foreground, aligning perfectly with the prompt.", "score_1": 3, "score_2": 7}, {"name": "Action Logic (Clashes & Chaos)", "reason_1": "Video 1 captures the 'fierce clashes' and 'heart-pounding chaos' with dynamic movement and explosions.", "reason_2": "Video 2 is relatively static; the figures are posing rather than engaging in the active 'fierce clashes' described.", "score_1": 7, "score_2": 3}, {"name": "Key Object Presence (Burning Vehicles)", "reason_1": "Video 1 features a prominent burning vehicle in the foreground, matching the prompt's description of smoke billowing from vehicles.", "reason_2": "Video 2 includes a vehicle, but it is not clearly burning or emitting the heavy smoke described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 2 accurately renders the specific environmental and subject details requested, such as the skyline and the scarves, which Video 1 misses.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video is blurry, low-resolution, and lacks texture detail on the uniforms and environment.", "reason_2": "The video is sharp, with high-definition textures on the rubble, uniforms, and background buildings.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability (Subject Consistency)", "reason_1": "The soldiers' faces and bodies warp and distort significantly during movement.", "reason_2": "The subjects maintain their form and identity consistently throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion is jerky and unnatural, with characters appearing to slide or float rather than run.", "reason_2": "The motion is limited but smooth and physically grounded, without the glitchy artifacts seen in Video 1.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, offering a sharp, stable image, whereas Video 1 suffers from severe blur and distortion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Dark Haze & Glow)", "reason_1": "Video 1 successfully creates a dark, hazy, and ominous atmosphere with fire lighting.", "reason_2": "Video 2 is too bright and evenly lit, lacking the 'ominous glow' and 'dark haze' requested.", "score_1": 7, "score_2": 3}, {"name": "Cinematic Composition & Depth", "reason_1": "The framing is tight and somewhat claustrophobic, lacking depth.", "reason_2": "The composition uses depth effectively, placing rebels in the foreground and the skyline in the background.", "score_1": 3, "score_2": 7}, {"name": "Narrative Clarity", "reason_1": "The scene is chaotic to the point of confusion; it is hard to distinguish specific narrative elements.", "reason_2": "The distinct separation of elements (rebels, soldier, city) makes the narrative scene easier to read.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a more composed and cinematic look with better depth, although Video 1 captures the 'dark' mood better.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly higher visual fidelity, stability, and semantic accuracy regarding the specific environmental and subject details (skyline, scarves). While Video 1 captures the chaotic atmosphere well, it suffers from severe morphological instability, low resolution, and fails to depict the requested cityscape context.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 41.0, "total_score_2": 59.0, "elapsed_sec": 62.075} +{"pair_id": "071_seed_42", "sample_index": 71, "seed": 42, "prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_42_A meticulously crafted wooden toy ship glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_42_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_42_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_42_A meticulously crafted wooden toy ship glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Wood & Craftsmanship)\", \"reason_1\": \"Video 1 renders a dark, glossy ship that resembles a plastic pirate toy rather than a 'meticulously crafted wooden' model. The details are obscured by the dark color.\", \"reason_2\": \"Video 2 perfectly renders the 'polished wood grain' and 'finely carved masts' requested. The material looks authentic and high-quality.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Texture (Carpet as Waves)\", \"reason_1\": \"The carpet in Video 1 is a flat, solid blue surface that lacks the texture or depth to convincingly mimic 'gentle ocean waves'.\", \"reason_2\": \"The carpet in Video 2 has a plush, uneven texture that visually translates well into the 'illusion of ocean waves' as the ship moves over it.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Shadow Interaction\", \"reason_1\": \"Video 1 has harsh, high-contrast lighting that blows out the highlights and creates deep, unappealing shadows, failing to highlight the craftsmanship.\", \"reason_2\": \"Video 2 features soft, natural sunlight that casts 'playful shadows' and highlights the wood texture as requested.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately depicts the specific material attributes (polished wood, intricate rigging) and environmental textures (plush carpet) requested. Video 1 fails to render the 'wood grain' clearly and presents a generic dark toy rather than a crafted model.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video appears low-resolution and blurry, with significant loss of detail in the ship's rigging and the background.\", \"reason_2\": \"The video is sharp, with clear definition in the rigging lines and the fibers of the carpet.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness (Gliding Effect)\", \"reason_1\": \"The motion feels slightly jerky and lacks the 'effortless' quality described in the prompt.\", \"reason_2\": \"The ship moves with a smooth, consistent velocity that mimics the 'effortless glide' of a ship on water.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Object Stability (Rigging & Masts)\", \"reason_1\": \"The complex rigging lines appear to flicker and disconnect slightly during the motion.\", \"reason_2\": \"The complex rigging lines remain relatively stable and connected throughout the clip.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains high resolution and texture stability throughout the clip. Video 1 suffers from lower resolution, compression artifacts, and a lack of definition in the fine details.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Innocence & Imagination)\", \"reason_1\": \"The high contrast and dark colors create a harsh, almost ominous tone that contradicts the prompt's request for innocence.\", \"reason_2\": \"The warm lighting and soft textures successfully evoke the 'boundless imagination' and 'pure innocence' of a child's world.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Movement (Zoom & Reveal)\", \"reason_1\": \"The camera movement is present but feels less intentional, and the framing cuts off parts of the ship awkwardly.\", \"reason_2\": \"The camera executes a smooth push-in (zoom) that draws attention to the details of the ship, fulfilling the prompt's narrative direction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony & Aesthetic Appeal\", \"reason_1\": \"The colors are oversaturated and clash, particularly the neon-like blue of the carpet against the dark ship.\", \"reason_2\": \"The color palette is harmonious, blending the warm wood tones with the soft blue carpet.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'innocence' and 'childhood adventure' mood through warm lighting and a gentle camera push. Video 1 feels colder and more artificial due to its harsh contrast and dark color palette.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is a superior generation that aligns almost perfectly with the prompt's descriptive and atmospheric requirements. It successfully renders the 'polished wood grain' and 'plush carpet' with high fidelity, creating the requested illusion of a maritime journey. The lighting is soft and evocative, matching the 'innocence' and 'childhood adventure' themes. Video 1, by contrast, suffers from harsh, high-contrast lighting, a lower-resolution appearance, and a subject that looks more like a generic plastic toy than a meticulously crafted wooden model.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Wood & Craftsmanship)", "reason_1": "Video 1 renders a dark, glossy ship that resembles a plastic pirate toy rather than a 'meticulously crafted wooden' model. The details are obscured by the dark color.", "reason_2": "Video 2 perfectly renders the 'polished wood grain' and 'finely carved masts' requested. The material looks authentic and high-quality.", "score_1": 1, "score_2": 9}, {"name": "Environmental Texture (Carpet as Waves)", "reason_1": "The carpet in Video 1 is a flat, solid blue surface that lacks the texture or depth to convincingly mimic 'gentle ocean waves'.", "reason_2": "The carpet in Video 2 has a plush, uneven texture that visually translates well into the 'illusion of ocean waves' as the ship moves over it.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Shadow Interaction", "reason_1": "Video 1 has harsh, high-contrast lighting that blows out the highlights and creates deep, unappealing shadows, failing to highlight the craftsmanship.", "reason_2": "Video 2 features soft, natural sunlight that casts 'playful shadows' and highlights the wood texture as requested.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately depicts the specific material attributes (polished wood, intricate rigging) and environmental textures (plush carpet) requested. Video 1 fails to render the 'wood grain' clearly and presents a generic dark toy rather than a crafted model.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video appears low-resolution and blurry, with significant loss of detail in the ship's rigging and the background.", "reason_2": "The video is sharp, with clear definition in the rigging lines and the fibers of the carpet.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness (Gliding Effect)", "reason_1": "The motion feels slightly jerky and lacks the 'effortless' quality described in the prompt.", "reason_2": "The ship moves with a smooth, consistent velocity that mimics the 'effortless glide' of a ship on water.", "score_1": 2, "score_2": 8}, {"name": "Object Stability (Rigging & Masts)", "reason_1": "The complex rigging lines appear to flicker and disconnect slightly during the motion.", "reason_2": "The complex rigging lines remain relatively stable and connected throughout the clip.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains high resolution and texture stability throughout the clip. Video 1 suffers from lower resolution, compression artifacts, and a lack of definition in the fine details.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Innocence & Imagination)", "reason_1": "The high contrast and dark colors create a harsh, almost ominous tone that contradicts the prompt's request for innocence.", "reason_2": "The warm lighting and soft textures successfully evoke the 'boundless imagination' and 'pure innocence' of a child's world.", "score_1": 1, "score_2": 9}, {"name": "Camera Movement (Zoom & Reveal)", "reason_1": "The camera movement is present but feels less intentional, and the framing cuts off parts of the ship awkwardly.", "reason_2": "The camera executes a smooth push-in (zoom) that draws attention to the details of the ship, fulfilling the prompt's narrative direction.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony & Aesthetic Appeal", "reason_1": "The colors are oversaturated and clash, particularly the neon-like blue of the carpet against the dark ship.", "reason_2": "The color palette is harmonious, blending the warm wood tones with the soft blue carpet.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'innocence' and 'childhood adventure' mood through warm lighting and a gentle camera push. Video 1 feels colder and more artificial due to its harsh contrast and dark color palette.", "cat_winner": "Video 2"}], "reason": "Video 2 is a superior generation that aligns almost perfectly with the prompt's descriptive and atmospheric requirements. It successfully renders the 'polished wood grain' and 'plush carpet' with high fidelity, creating the requested illusion of a maritime journey. The lighting is soft and evocative, matching the 'innocence' and 'childhood adventure' themes. Video 1, by contrast, suffers from harsh, high-contrast lighting, a lower-resolution appearance, and a subject that looks more like a generic plastic toy than a meticulously crafted wooden model.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 16.0, "total_score_2": 74.0, "elapsed_sec": 64.826} +{"pair_id": "073_seed_930", "sample_index": 73, "seed": 930, "prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_073_seed_930_A lone cowboy clad in a weathered hat and rugged a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Visibility (Attire & Hat)\", \"reason_1\": \"Video 1 clearly renders the 'weathered hat' and 'rugged attire' with visible textures and details.\", \"reason_2\": \"Video 2 renders the subject almost entirely as a dark silhouette, making it impossible to verify the 'rugged attire' or specific details of the hat.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Grass Sway & Mountains)\", \"reason_1\": \"Video 1 distinctly shows the 'gentle sway of prairie grasses' in the foreground and detailed 'distant mountains' in the background.\", \"reason_2\": \"Video 2 lacks foreground detail; the grass is a blur, and the mountains are vague shapes without the requested 'gentle glow' texture.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Silhouette Interpretation\", \"reason_1\": \"Video 1 interprets 'silhouettes' artistically as strong backlighting that creates contrast while maintaining subject visibility, fitting the 'breathtaking' description.\", \"reason_2\": \"Video 2 adheres strictly to the 'silhouette' instruction but does so to a fault, resulting in a flat, black subject that lacks the 'striking contrast' of a high-quality cinematic shot.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the specific details of the prompt (attire, grass, mountains) much better than Video 2, which obscures most details in shadow.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video is sharp, with high-definition textures on the horse's coat, the rider's clothes, and the environment.\", \"reason_2\": \"The video appears soft, blurry, and lacks high-frequency detail, resembling a lower-resolution generation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Naturalism (Horse Gait)\", \"reason_1\": \"The horse's movement is fluid and anatomically plausible, with a natural gait.\", \"reason_2\": \"The horse's motion feels slightly stiff and mechanical, lacking the organic fluidity seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction & Volumetrics\", \"reason_1\": \"The light interacts realistically with the subject, creating rim lighting and volumetric depth in the clouds.\", \"reason_2\": \"The lighting is flat and uniform, lacking dynamic interaction with the subject or the environment.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade resolution and texture rendering, whereas Video 2 suffers from blurriness and lack of definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 utilizes a strong composition with foreground elements (grass) and background layers (mountains) creating a sense of vast scale.\", \"reason_2\": \"Video 2 feels flat and two-dimensional, lacking the depth cues necessary to convey a 'vast, open plain'.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Mood (Tranquility & Freedom)\", \"reason_1\": \"The warm, golden lighting and detailed landscape effectively evoke the requested sense of freedom and tranquility.\", \"reason_2\": \"The stark contrast and lack of detail make the scene feel somewhat empty and artificial rather than tranquil.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Grading & Palette\", \"reason_1\": \"The colors are rich and vibrant, accurately reflecting the 'golden hues' and 'vibrant oranges' requested.\", \"reason_2\": \"The color palette is somewhat washed out and lacks the vibrancy described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a truly cinematic and emotional scene with depth and atmosphere, while Video 2 feels flat and generic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in almost every metric. It delivers a high-fidelity, cinematic visualization where the 'rugged attire' and 'weathered hat' are clearly visible, and the 'gentle sway of prairie grasses' is rendered with excellent detail. The lighting creates a beautiful, volumetric golden hour atmosphere that enhances the depth of the scene. Video 2, while adhering to the silhouette instruction, results in a loss of detail, making the attire and environment indistinct, and suffers from lower resolution and flatter lighting.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A lone cowboy, clad in a weathered hat and rugged attire, rides his sturdy horse across a vast, open plain, the golden hues of sunset painting the sky in vibrant oranges and pinks. The camera captures the gentle sway of prairie grasses, bathed in the soft, warm light of the setting sun. As the cowboy and his horse move gracefully, their silhouettes are etched against the horizon, creating a striking contrast with the colorful sky. The scene evokes a sense of freedom and tranquility, with the distant mountains bathed in a gentle glow, completing the breathtaking landscape.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Visibility (Attire & Hat)", "reason_1": "Video 1 clearly renders the 'weathered hat' and 'rugged attire' with visible textures and details.", "reason_2": "Video 2 renders the subject almost entirely as a dark silhouette, making it impossible to verify the 'rugged attire' or specific details of the hat.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Grass Sway & Mountains)", "reason_1": "Video 1 distinctly shows the 'gentle sway of prairie grasses' in the foreground and detailed 'distant mountains' in the background.", "reason_2": "Video 2 lacks foreground detail; the grass is a blur, and the mountains are vague shapes without the requested 'gentle glow' texture.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Silhouette Interpretation", "reason_1": "Video 1 interprets 'silhouettes' artistically as strong backlighting that creates contrast while maintaining subject visibility, fitting the 'breathtaking' description.", "reason_2": "Video 2 adheres strictly to the 'silhouette' instruction but does so to a fault, resulting in a flat, black subject that lacks the 'striking contrast' of a high-quality cinematic shot.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the specific details of the prompt (attire, grass, mountains) much better than Video 2, which obscures most details in shadow.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video is sharp, with high-definition textures on the horse's coat, the rider's clothes, and the environment.", "reason_2": "The video appears soft, blurry, and lacks high-frequency detail, resembling a lower-resolution generation.", "score_1": 9, "score_2": 1}, {"name": "Motion Naturalism (Horse Gait)", "reason_1": "The horse's movement is fluid and anatomically plausible, with a natural gait.", "reason_2": "The horse's motion feels slightly stiff and mechanical, lacking the organic fluidity seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction & Volumetrics", "reason_1": "The light interacts realistically with the subject, creating rim lighting and volumetric depth in the clouds.", "reason_2": "The lighting is flat and uniform, lacking dynamic interaction with the subject or the environment.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade resolution and texture rendering, whereas Video 2 suffers from blurriness and lack of definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 utilizes a strong composition with foreground elements (grass) and background layers (mountains) creating a sense of vast scale.", "reason_2": "Video 2 feels flat and two-dimensional, lacking the depth cues necessary to convey a 'vast, open plain'.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Mood (Tranquility & Freedom)", "reason_1": "The warm, golden lighting and detailed landscape effectively evoke the requested sense of freedom and tranquility.", "reason_2": "The stark contrast and lack of detail make the scene feel somewhat empty and artificial rather than tranquil.", "score_1": 8, "score_2": 2}, {"name": "Color Grading & Palette", "reason_1": "The colors are rich and vibrant, accurately reflecting the 'golden hues' and 'vibrant oranges' requested.", "reason_2": "The color palette is somewhat washed out and lacks the vibrancy described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a truly cinematic and emotional scene with depth and atmosphere, while Video 2 feels flat and generic.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in almost every metric. It delivers a high-fidelity, cinematic visualization where the 'rugged attire' and 'weathered hat' are clearly visible, and the 'gentle sway of prairie grasses' is rendered with excellent detail. The lighting creates a beautiful, volumetric golden hour atmosphere that enhances the depth of the scene. Video 2, while adhering to the silhouette instruction, results in a loss of detail, making the attire and environment indistinct, and suffers from lower resolution and flatter lighting.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 61.145} +{"pair_id": "076_seed_310", "sample_index": 76, "seed": 310, "prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_310_The camera soars above a lively medieval marketpla.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_310_The camera soars above a lively medieval marketpla.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_310_The camera soars above a lively medieval marketpla.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_310_The camera soars above a lively medieval marketpla.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Era-Specific Detail Fidelity (Medieval vs. Modern)\", \"reason_1\": \"Video 1 renders the medieval section as a blurry, indistinct wash of colors and the modern section as a distorted, melted mess of shapes.\", \"reason_2\": \"Video 2 clearly depicts specific medieval elements (wooden stalls, fabrics) and modern elements (glass skyscrapers, distinct car models).\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Definition & Interaction\", \"reason_1\": \"Subjects in Video 1 are amorphous blobs with no discernible features or logical interactions.\", \"reason_2\": \"Subjects in Video 2 are recognizable as humans with distinct clothing and actions, even if slightly distorted.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Stalls to Skyscrapers)\", \"reason_1\": \"Video 1 fails to establish a coherent environment; the background is a chaotic mix of textures that does not resemble a city or a market.\", \"reason_2\": \"Video 2 establishes a clear spatial relationship between the market stalls and the surrounding architecture.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 accurately renders the specific details of both eras requested, whereas Video 1 fails to produce recognizable objects or distinct eras.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry, pixelated, and lacks any fine detail.\", \"reason_2\": \"The video is sharp, with clear textures on fabrics, cobblestones, and building facades.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Objects and people constantly melt, warp, and lose their shape, exhibiting severe temporal instability.\", \"reason_2\": \"Objects maintain their shape and volume reasonably well throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"Motion is fluid but unnatural, resembling a warping liquid rather than physical movement.\", \"reason_2\": \"Movement of the camera and subjects follows basic physical logic.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains a standard of visual clarity expected of modern generation, while Video 1 exhibits severe artifacts and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Transition Execution\", \"reason_1\": \"The transition is a jarring, incoherent morph that destroys the visual information rather than telling a story.\", \"reason_2\": \"The video attempts a transition that, while abrupt, successfully shifts the viewer's focus from the market to the city context.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unpleasant due to high noise, blur, and lack of structure.\", \"reason_2\": \"The lighting, colors, and composition are pleasing and professional.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"Fails to create any atmosphere other than confusion due to the low quality.\", \"reason_2\": \"Successfully evokes the 'lively' and 'bustling' atmosphere described in the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 provides a watchable, aesthetically pleasing experience with a clear narrative progression, unlike the chaotic visual noise of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Temporal Evolution & Juxtaposition\", \"dims\": [{\"name\": \"Era Distinctiveness\", \"reason_1\": \"The two eras blend into a single, unrecognizable style with no clear distinction.\", \"reason_2\": \"The contrast between the rustic medieval foreground and the sleek modern background is visually distinct and effective.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Transition Logic\", \"reason_1\": \"The transition is a random hallucination of pixels with no logical connection between start and end states.\", \"reason_2\": \"The transition implies a shift in time or location that connects the two scenes logically.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Thematic Representation (Evolution of Commerce)\", \"reason_1\": \"Fails to convey the theme due to the inability to render the subjects of commerce (goods, people) clearly.\", \"reason_2\": \"Clearly shows the shift from traditional trade (stalls) to modern commerce (cars, high-rises).\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category evaluates the specific prompt requirement of showing the 'evolution of commerce' through a transition. Video 2 succeeds in showing the contrast.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its significantly higher visual fidelity, structural coherence, and successful depiction of the prompt's dual eras. It renders recognizable medieval details (stalls, fabrics) and modern elements (skyscrapers, cars) with reasonable clarity. Video 1 suffers from severe degradation, extreme blurriness, and a lack of morphological stability, resulting in a chaotic and unrecognizable visual experience that fails to convey the narrative transition effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Era-Specific Detail Fidelity (Medieval vs. Modern)", "reason_1": "Video 1 renders the medieval section as a blurry, indistinct wash of colors and the modern section as a distorted, melted mess of shapes.", "reason_2": "Video 2 clearly depicts specific medieval elements (wooden stalls, fabrics) and modern elements (glass skyscrapers, distinct car models).", "score_1": 1, "score_2": 9}, {"name": "Subject Definition & Interaction", "reason_1": "Subjects in Video 1 are amorphous blobs with no discernible features or logical interactions.", "reason_2": "Subjects in Video 2 are recognizable as humans with distinct clothing and actions, even if slightly distorted.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Stalls to Skyscrapers)", "reason_1": "Video 1 fails to establish a coherent environment; the background is a chaotic mix of textures that does not resemble a city or a market.", "reason_2": "Video 2 establishes a clear spatial relationship between the market stalls and the surrounding architecture.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 accurately renders the specific details of both eras requested, whereas Video 1 fails to produce recognizable objects or distinct eras.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry, pixelated, and lacks any fine detail.", "reason_2": "The video is sharp, with clear textures on fabrics, cobblestones, and building facades.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Object Permanence)", "reason_1": "Objects and people constantly melt, warp, and lose their shape, exhibiting severe temporal instability.", "reason_2": "Objects maintain their shape and volume reasonably well throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "Motion is fluid but unnatural, resembling a warping liquid rather than physical movement.", "reason_2": "Movement of the camera and subjects follows basic physical logic.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains a standard of visual clarity expected of modern generation, while Video 1 exhibits severe artifacts and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Transition Execution", "reason_1": "The transition is a jarring, incoherent morph that destroys the visual information rather than telling a story.", "reason_2": "The video attempts a transition that, while abrupt, successfully shifts the viewer's focus from the market to the city context.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unpleasant due to high noise, blur, and lack of structure.", "reason_2": "The lighting, colors, and composition are pleasing and professional.", "score_1": 1, "score_2": 9}, {"name": "Atmospheric Immersion", "reason_1": "Fails to create any atmosphere other than confusion due to the low quality.", "reason_2": "Successfully evokes the 'lively' and 'bustling' atmosphere described in the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 provides a watchable, aesthetically pleasing experience with a clear narrative progression, unlike the chaotic visual noise of Video 1.", "cat_winner": "Video 2"}, {"name": "D. Temporal Evolution & Juxtaposition", "dims": [{"name": "Era Distinctiveness", "reason_1": "The two eras blend into a single, unrecognizable style with no clear distinction.", "reason_2": "The contrast between the rustic medieval foreground and the sleek modern background is visually distinct and effective.", "score_1": 1, "score_2": 9}, {"name": "Transition Logic", "reason_1": "The transition is a random hallucination of pixels with no logical connection between start and end states.", "reason_2": "The transition implies a shift in time or location that connects the two scenes logically.", "score_1": 3, "score_2": 7}, {"name": "Thematic Representation (Evolution of Commerce)", "reason_1": "Fails to convey the theme due to the inability to render the subjects of commerce (goods, people) clearly.", "reason_2": "Clearly shows the shift from traditional trade (stalls) to modern commerce (cars, high-rises).", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category evaluates the specific prompt requirement of showing the 'evolution of commerce' through a transition. Video 2 succeeds in showing the contrast.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its significantly higher visual fidelity, structural coherence, and successful depiction of the prompt's dual eras. It renders recognizable medieval details (stalls, fabrics) and modern elements (skyscrapers, cars) with reasonable clarity. Video 1 suffers from severe degradation, extreme blurriness, and a lack of morphological stability, resulting in a chaotic and unrecognizable visual experience that fails to convey the narrative transition effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 21.0, "total_score_2": 99.0, "elapsed_sec": 70.847} +{"pair_id": "079_seed_42", "sample_index": 79, "seed": 42, "prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_42_As the sun dips below the horizon casting a warm g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_42_As the sun dips below the horizon casting a warm g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_42_As the sun dips below the horizon casting a warm g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_42_As the sun dips below the horizon casting a warm g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Placement (Hut & Greenery)\", \"reason_1\": \"Video 1 places the hut on the shore, but the 'framing' greenery is rendered as a blurry, intrusive foreground element that obscures the view.\", \"reason_2\": \"Video 2 places the hut in the distance as requested and uses greenery to frame the shot naturally without blocking the scene.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 has a sunset palette, but the lighting feels flatter and less dynamic compared to the vibrant glow of Video 2.\", \"reason_2\": \"Video 2 captures the 'warm golden glow' and 'vibrant hues' with high saturation and contrast, matching the prompt's mood.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Waves & Breeze)\", \"reason_1\": \"Video 1 also depicts the waves and swaying fronds, though the motion is slightly less fluid.\", \"reason_2\": \"Video 2 depicts the gentle waves and swaying fronds effectively.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 better interprets the spatial relationships described in the prompt, particularly the 'framing' of the scene and the placement of the hut.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video appears soft, slightly blurry, and lacks the definition seen in Video 2.\", \"reason_2\": \"The image is crisp, with well-defined textures in the water and sand.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Foreground Texture Stability\", \"reason_1\": \"The palm fronds in the immediate foreground exhibit unnatural warping and morphing artifacts as they move.\", \"reason_2\": \"The palm fronds in the foreground remain structurally consistent while moving.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Water Physics & Flow\", \"reason_1\": \"The water motion is acceptable but feels slightly more artificial and less integrated with the shore.\", \"reason_2\": \"The wave motion is rhythmic and interacts realistically with the shoreline.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates significantly higher resolution and stability, whereas Video 1 suffers from blurriness and texture warping.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The composition is poor; the large, out-of-focus palm leaves in the foreground dominate the frame and distract from the sunset and hut.\", \"reason_2\": \"The composition is excellent, using the palm leaves to create a natural window looking out at the sunset and hut.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Mood & Serenity\", \"reason_1\": \"The visual clutter in the foreground disrupts the sense of peace and tranquility.\", \"reason_2\": \"The clear view and balanced colors successfully evoke the requested 'perfect moment of peace'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Color Harmony\", \"reason_1\": \"The colors are somewhat washed out and lack the vibrancy described in the prompt.\", \"reason_2\": \"The colors are rich and harmonious, blending the greens of the trees with the oranges of the sky.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a much more pleasing composition that adheres to the 'tranquil' and 'cozy' aesthetic, while Video 1 is visually cluttered.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity, sharper resolution, and more effective composition. It successfully frames the scene with palm fronds as requested without obstructing the view, whereas Video 1 suffers from intrusive foreground elements and lower image quality. Video 2 also captures the vibrant golden glow of the sunset with greater dynamic range and color saturation.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Placement (Hut & Greenery)", "reason_1": "Video 1 places the hut on the shore, but the 'framing' greenery is rendered as a blurry, intrusive foreground element that obscures the view.", "reason_2": "Video 2 places the hut in the distance as requested and uses greenery to frame the shot naturally without blocking the scene.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 has a sunset palette, but the lighting feels flatter and less dynamic compared to the vibrant glow of Video 2.", "reason_2": "Video 2 captures the 'warm golden glow' and 'vibrant hues' with high saturation and contrast, matching the prompt's mood.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Waves & Breeze)", "reason_1": "Video 1 also depicts the waves and swaying fronds, though the motion is slightly less fluid.", "reason_2": "Video 2 depicts the gentle waves and swaying fronds effectively.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 better interprets the spatial relationships described in the prompt, particularly the 'framing' of the scene and the placement of the hut.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video appears soft, slightly blurry, and lacks the definition seen in Video 2.", "reason_2": "The image is crisp, with well-defined textures in the water and sand.", "score_1": 2, "score_2": 8}, {"name": "Foreground Texture Stability", "reason_1": "The palm fronds in the immediate foreground exhibit unnatural warping and morphing artifacts as they move.", "reason_2": "The palm fronds in the foreground remain structurally consistent while moving.", "score_1": 3, "score_2": 7}, {"name": "Water Physics & Flow", "reason_1": "The water motion is acceptable but feels slightly more artificial and less integrated with the shore.", "reason_2": "The wave motion is rhythmic and interacts realistically with the shoreline.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates significantly higher resolution and stability, whereas Video 1 suffers from blurriness and texture warping.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The composition is poor; the large, out-of-focus palm leaves in the foreground dominate the frame and distract from the sunset and hut.", "reason_2": "The composition is excellent, using the palm leaves to create a natural window looking out at the sunset and hut.", "score_1": 1, "score_2": 9}, {"name": "Mood & Serenity", "reason_1": "The visual clutter in the foreground disrupts the sense of peace and tranquility.", "reason_2": "The clear view and balanced colors successfully evoke the requested 'perfect moment of peace'.", "score_1": 3, "score_2": 7}, {"name": "Color Harmony", "reason_1": "The colors are somewhat washed out and lack the vibrancy described in the prompt.", "reason_2": "The colors are rich and harmonious, blending the greens of the trees with the oranges of the sky.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a much more pleasing composition that adheres to the 'tranquil' and 'cozy' aesthetic, while Video 1 is visually cluttered.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity, sharper resolution, and more effective composition. It successfully frames the scene with palm fronds as requested without obstructing the view, whereas Video 1 suffers from intrusive foreground elements and lower image quality. Video 2 also captures the vibrant golden glow of the sunset with greater dynamic range and color saturation.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 28.0, "total_score_2": 62.0, "elapsed_sec": 56.27} +{"pair_id": "081_seed_930", "sample_index": 81, "seed": 930, "prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_081_seed_930_In a noir-style scene a detective in a classic tre.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Walk, Pause, Light)\", \"reason_1\": \"Video 1 depicts the walking and pausing but fails to render the 'lighting a cigarette' action clearly; the hand movement is vague and the flame is missing.\", \"reason_2\": \"Video 2 clearly depicts the detective pausing, bringing a lighter to his mouth, and the flame illuminating his face as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Glistening Cobblestones)\", \"reason_1\": \"The environment is muddy and lacks the specific 'glistening' texture of wet cobblestones requested.\", \"reason_2\": \"The video renders high-fidelity wet cobblestones with realistic reflections, perfectly matching the 'glistening from recent rain' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Prompt Interpretation (Saxophone Element)\", \"reason_1\": \"Video 1 attempts to generate the saxophone as a 'distant sound' source but fails technically, causing a saxophone to hallucinate and morph into existence in the foreground.\", \"reason_2\": \"Video 2 interprets the saxophone as a background musician. While this deviates slightly from 'distant sound' (making it visual), it is a coherent and logical scene composition.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the specific actions and environmental details requested, whereas Video 1 fails to render the cigarette lighting action and struggles with the saxophone element.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture definition on the coat and face.\", \"reason_2\": \"The video is sharp, with distinct textures visible on the trench coat fabric, skin pores, and wet stones.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Severe failure: A saxophone and a second person morph out of the detective's coat and the background in a glitchy, unrealistic manner.\", \"reason_2\": \"The subject and background elements remain solid and consistent throughout the clip with no morphing artifacts.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Interaction (Flame & Shadows)\", \"reason_1\": \"Lighting is flat and static; the flame does not cast dynamic light on the face.\", \"reason_2\": \"The lighter's flame casts a realistic, dynamic glow on the detective's face, creating the requested 'interplay of shadows'.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade generation with high resolution and stability. Video 1 is plagued by low resolution, blurring, and severe object hallucinations.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Noir Atmosphere & Color Grading\", \"reason_1\": \"The video uses a sepia tone that feels more like a vintage filter than a moody noir atmosphere.\", \"reason_2\": \"The video uses a cool, high-contrast color palette with deep blacks and sharp highlights, effectively evoking a modern noir aesthetic.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Character Expression & Engagement\", \"reason_1\": \"The character's face is indistinct and lacks the 'sharp and observant' quality requested.\", \"reason_2\": \"The character displays a clear, stern expression with a focused gaze, aligning well with the 'engrossed in thoughts' description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is awkward, and the sudden appearance of the glitchy saxophone ruins the composition.\", \"reason_2\": \"The shot is well-composed with depth of field, placing the detective in the foreground and the saxophone player in the background to create narrative depth.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully captures the 'noir' mood through color grading and lighting, while Video 1 feels like a low-quality vintage filter.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in technical quality, semantic accuracy, and aesthetic execution. It delivers a high-resolution, photorealistic scene with accurate lighting interactions (the lighter illuminating the face) and stable subject consistency. Video 1 suffers from severe morphological hallucinations (a saxophone morphing out of the subject), low resolution, and a failure to clearly depict the key action of lighting the cigarette.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a noir-style scene, a detective in a classic trench coat and fedora walks down a dimly lit alley, the cobblestones glistening from recent rain. The camera captures the interplay of shadows across his chiseled features as he pauses under a flickering streetlamp. He lights a cigarette, the flame briefly illuminating his stern expression and the smoke curling upwards, adding to the mysterious atmosphere. The distant sound of a saxophone echoes through the alley, enhancing the moody ambiance. His eyes, sharp and observant, scan the surroundings, revealing a man deeply engrossed in his thoughts, as the city’s secrets linger in the shadows.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Walk, Pause, Light)", "reason_1": "Video 1 depicts the walking and pausing but fails to render the 'lighting a cigarette' action clearly; the hand movement is vague and the flame is missing.", "reason_2": "Video 2 clearly depicts the detective pausing, bringing a lighter to his mouth, and the flame illuminating his face as requested.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Glistening Cobblestones)", "reason_1": "The environment is muddy and lacks the specific 'glistening' texture of wet cobblestones requested.", "reason_2": "The video renders high-fidelity wet cobblestones with realistic reflections, perfectly matching the 'glistening from recent rain' description.", "score_1": 2, "score_2": 8}, {"name": "Prompt Interpretation (Saxophone Element)", "reason_1": "Video 1 attempts to generate the saxophone as a 'distant sound' source but fails technically, causing a saxophone to hallucinate and morph into existence in the foreground.", "reason_2": "Video 2 interprets the saxophone as a background musician. While this deviates slightly from 'distant sound' (making it visual), it is a coherent and logical scene composition.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the specific actions and environmental details requested, whereas Video 1 fails to render the cigarette lighting action and struggles with the saxophone element.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video is blurry, low-resolution, and lacks texture definition on the coat and face.", "reason_2": "The video is sharp, with distinct textures visible on the trench coat fabric, skin pores, and wet stones.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Object Permanence)", "reason_1": "Severe failure: A saxophone and a second person morph out of the detective's coat and the background in a glitchy, unrealistic manner.", "reason_2": "The subject and background elements remain solid and consistent throughout the clip with no morphing artifacts.", "score_1": 1, "score_2": 9}, {"name": "Lighting Interaction (Flame & Shadows)", "reason_1": "Lighting is flat and static; the flame does not cast dynamic light on the face.", "reason_2": "The lighter's flame casts a realistic, dynamic glow on the detective's face, creating the requested 'interplay of shadows'.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade generation with high resolution and stability. Video 1 is plagued by low resolution, blurring, and severe object hallucinations.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Noir Atmosphere & Color Grading", "reason_1": "The video uses a sepia tone that feels more like a vintage filter than a moody noir atmosphere.", "reason_2": "The video uses a cool, high-contrast color palette with deep blacks and sharp highlights, effectively evoking a modern noir aesthetic.", "score_1": 3, "score_2": 7}, {"name": "Character Expression & Engagement", "reason_1": "The character's face is indistinct and lacks the 'sharp and observant' quality requested.", "reason_2": "The character displays a clear, stern expression with a focused gaze, aligning well with the 'engrossed in thoughts' description.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Composition", "reason_1": "The framing is awkward, and the sudden appearance of the glitchy saxophone ruins the composition.", "reason_2": "The shot is well-composed with depth of field, placing the detective in the foreground and the saxophone player in the background to create narrative depth.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully captures the 'noir' mood through color grading and lighting, while Video 1 feels like a low-quality vintage filter.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in technical quality, semantic accuracy, and aesthetic execution. It delivers a high-resolution, photorealistic scene with accurate lighting interactions (the lighter illuminating the face) and stable subject consistency. Video 1 suffers from severe morphological hallucinations (a saxophone morphing out of the subject), low resolution, and a failure to clearly depict the key action of lighting the cigarette.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 62.37} +{"pair_id": "084_seed_310", "sample_index": 84, "seed": 310, "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_310_A man wearing a rugged outdoor jacket and cargo pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_310_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_310_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_310_A man wearing a rugged outdoor jacket and cargo pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Appearance\", \"reason_1\": \"Video 1 correctly depicts the rugged jacket and cargo pants with a consistent look.\", \"reason_2\": \"Video 2 also correctly depicts the attire, though the jacket appears slightly bulkier.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Atmosphere (Lighting & Blur)\", \"reason_1\": \"Video 1 captures the 'blur into streaks' and 'dappled patterns' effectively, creating a sense of speed.\", \"reason_2\": \"Video 2 has a flatter lighting profile and lacks the dynamic motion blur described in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Expression Fidelity (Intense/Wide-eyed)\", \"reason_1\": \"Video 1 maintains a consistent expression of exertion and intensity.\", \"reason_2\": \"Video 2 attempts the expression, but the facial features distort, making the emotion read as glitchy rather than intense.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 better captures the specific atmospheric details like the motion blur and dappled lighting, whereas Video 2 feels flatter and less dynamic.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's face remains recognizable and consistent throughout the clip.\", \"reason_2\": \"The subject's face morphs significantly, changing structure and features multiple times, breaking immersion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The body mechanics and clothing folds move naturally with the sprint.\", \"reason_2\": \"The subject's shoulders and arms warp unnaturally during the running motion.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is reasonably sharp with good texture definition on the clothing.\", \"reason_2\": \"The video appears softer and suffers from generation artifacts around the edges of the subject.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a stable human form, while Video 2 fails significantly with facial morphing and anatomical warping.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Motion & Camera Work\", \"reason_1\": \"The camera movement feels like a handheld tracking shot, enhancing the urgency.\", \"reason_2\": \"The camera motion feels disconnected from the subject's speed, reducing the impact.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Mood & Tension\", \"reason_1\": \"The combination of lighting, blur, and expression successfully conveys the 'adrenaline' and 'tension' requested.\", \"reason_2\": \"The mood is disrupted by the technical flaws, failing to convey the intended narrative tension.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Aesthetically pleasing with a coherent color palette and style.\", \"reason_2\": \"Visually distracting due to the unstable subject generation.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 feels like a coherent cinematic shot, whereas Video 2 feels like a disjointed generation due to the visual artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner primarily due to superior temporal stability and subject consistency. While both videos attempt the prompt's semantic elements, Video 2 suffers from severe facial morphing and anatomical distortion throughout the clip, which breaks the realism. Video 1 maintains a consistent character identity, better captures the requested 'dappled lighting' and 'motion blur' effects, and delivers a more cinematic and coherent visual experience.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Appearance", "reason_1": "Video 1 correctly depicts the rugged jacket and cargo pants with a consistent look.", "reason_2": "Video 2 also correctly depicts the attire, though the jacket appears slightly bulkier.", "score_1": 5, "score_2": 5}, {"name": "Environmental Atmosphere (Lighting & Blur)", "reason_1": "Video 1 captures the 'blur into streaks' and 'dappled patterns' effectively, creating a sense of speed.", "reason_2": "Video 2 has a flatter lighting profile and lacks the dynamic motion blur described in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Expression Fidelity (Intense/Wide-eyed)", "reason_1": "Video 1 maintains a consistent expression of exertion and intensity.", "reason_2": "Video 2 attempts the expression, but the facial features distort, making the emotion read as glitchy rather than intense.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 better captures the specific atmospheric details like the motion blur and dappled lighting, whereas Video 2 feels flatter and less dynamic.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's face remains recognizable and consistent throughout the clip.", "reason_2": "The subject's face morphs significantly, changing structure and features multiple times, breaking immersion.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Anatomy)", "reason_1": "The body mechanics and clothing folds move naturally with the sprint.", "reason_2": "The subject's shoulders and arms warp unnaturally during the running motion.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is reasonably sharp with good texture definition on the clothing.", "reason_2": "The video appears softer and suffers from generation artifacts around the edges of the subject.", "score_1": 6, "score_2": 4}], "cat_reason": "This is the deciding category. Video 1 maintains a stable human form, while Video 2 fails significantly with facial morphing and anatomical warping.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Motion & Camera Work", "reason_1": "The camera movement feels like a handheld tracking shot, enhancing the urgency.", "reason_2": "The camera motion feels disconnected from the subject's speed, reducing the impact.", "score_1": 7, "score_2": 3}, {"name": "Mood & Tension", "reason_1": "The combination of lighting, blur, and expression successfully conveys the 'adrenaline' and 'tension' requested.", "reason_2": "The mood is disrupted by the technical flaws, failing to convey the intended narrative tension.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Aesthetically pleasing with a coherent color palette and style.", "reason_2": "Visually distracting due to the unstable subject generation.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 feels like a coherent cinematic shot, whereas Video 2 feels like a disjointed generation due to the visual artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner primarily due to superior temporal stability and subject consistency. While both videos attempt the prompt's semantic elements, Video 2 suffers from severe facial morphing and anatomical distortion throughout the clip, which breaks the realism. Video 1 maintains a consistent character identity, better captures the requested 'dappled lighting' and 'motion blur' effects, and delivers a more cinematic and coherent visual experience.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 60.0, "total_score_2": 30.0, "elapsed_sec": 53.803} +{"pair_id": "087_seed_42", "sample_index": 87, "seed": 42, "prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_42_A striking woman dressed head-to-toe in vibrant or.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_42_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_42_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_42_A striking woman dressed head-to-toe in vibrant or.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Expression & Emotional Tone\", \"reason_1\": \"The subject in Video 1 maintains a calm, serene expression that aligns perfectly with the prompt's request for a 'serene yet powerful' demeanor.\", \"reason_2\": \"The subject in Video 2 has a distorted, grimacing expression that looks unnatural and disturbing, completely failing to convey serenity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail & Flora Variety\", \"reason_1\": \"Video 1 clearly renders the 'array of colorful flora' with distinct red and yellow plants in the foreground, creating the requested contrast.\", \"reason_2\": \"Video 2's environment is muddier; while green, the specific colorful flora is less distinct and blends into the background noise.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Angle & Subject Presence\", \"reason_1\": \"Video 1 utilizes the low angle effectively to make the subject look 'striking' and 'powerful' against the towering trees.\", \"reason_2\": \"While Video 2 attempts a low angle, the subject's lack of definition and the awkward framing diminish the intended sense of presence.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'serene yet powerful' expression and the specific environmental details requested. Video 2 fails significantly on the subject's expression, rendering a distorted face that contradicts the prompt's emotional requirements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"The subject's face remains anatomically correct and recognizable throughout the clip.\", \"reason_2\": \"The subject's face suffers from severe morphing and distortion, looking like a glitch rather than a human face.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Clothing Texture & Physics Stability\", \"reason_1\": \"The orange dress flows naturally and maintains a consistent texture and shape.\", \"reason_2\": \"The clothing in Video 2 appears to merge with the subject's skin and exhibits unnatural shifting artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Image Clarity & Sharpness\", \"reason_1\": \"The video is sharp, with clear definition between the subject and the background.\", \"reason_2\": \"The image is softer and suffers from generation noise, particularly around the subject's features.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe artifacts, particularly facial hallucinations and texture morphing on the clothing.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The vibrant orange pops beautifully against the lush greens, creating the 'dramatic contrast' requested.\", \"reason_2\": \"The colors are somewhat washed out and the contrast is less effective due to the muddy rendering of the environment.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Mood (Enchanting vs. Uncanny)\", \"reason_1\": \"Successfully establishes an enchanting, peaceful atmosphere.\", \"reason_2\": \"The facial distortion creates an 'uncanny valley' effect that is unsettling rather than enchanting.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Compositional Balance\", \"reason_1\": \"The subject is well-centered and framed by the trees, leading the eye naturally.\", \"reason_2\": \"The composition is acceptable, but the subject feels slightly disconnected from the background due to lighting mismatches.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a cohesive, pleasing image that matches the 'enchanting' mood. Video 2's aesthetic is ruined by the uncanny valley effect of the distorted subject.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior anatomical consistency, visual fidelity, and accurate capture of the requested emotional tone. While both videos attempt the correct setting and color palette, Video 2 suffers from severe facial distortion and morphing artifacts that destroy the 'serene' expression required by the prompt. Video 1 maintains a stable, striking subject with high-quality rendering of the flora and lighting.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Expression & Emotional Tone", "reason_1": "The subject in Video 1 maintains a calm, serene expression that aligns perfectly with the prompt's request for a 'serene yet powerful' demeanor.", "reason_2": "The subject in Video 2 has a distorted, grimacing expression that looks unnatural and disturbing, completely failing to convey serenity.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail & Flora Variety", "reason_1": "Video 1 clearly renders the 'array of colorful flora' with distinct red and yellow plants in the foreground, creating the requested contrast.", "reason_2": "Video 2's environment is muddier; while green, the specific colorful flora is less distinct and blends into the background noise.", "score_1": 7, "score_2": 3}, {"name": "Camera Angle & Subject Presence", "reason_1": "Video 1 utilizes the low angle effectively to make the subject look 'striking' and 'powerful' against the towering trees.", "reason_2": "While Video 2 attempts a low angle, the subject's lack of definition and the awkward framing diminish the intended sense of presence.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'serene yet powerful' expression and the specific environmental details requested. Video 2 fails significantly on the subject's expression, rendering a distorted face that contradicts the prompt's emotional requirements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "The subject's face remains anatomically correct and recognizable throughout the clip.", "reason_2": "The subject's face suffers from severe morphing and distortion, looking like a glitch rather than a human face.", "score_1": 9, "score_2": 1}, {"name": "Clothing Texture & Physics Stability", "reason_1": "The orange dress flows naturally and maintains a consistent texture and shape.", "reason_2": "The clothing in Video 2 appears to merge with the subject's skin and exhibits unnatural shifting artifacts.", "score_1": 8, "score_2": 2}, {"name": "Overall Image Clarity & Sharpness", "reason_1": "The video is sharp, with clear definition between the subject and the background.", "reason_2": "The image is softer and suffers from generation noise, particularly around the subject's features.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe artifacts, particularly facial hallucinations and texture morphing on the clothing.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony & Contrast", "reason_1": "The vibrant orange pops beautifully against the lush greens, creating the 'dramatic contrast' requested.", "reason_2": "The colors are somewhat washed out and the contrast is less effective due to the muddy rendering of the environment.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Mood (Enchanting vs. Uncanny)", "reason_1": "Successfully establishes an enchanting, peaceful atmosphere.", "reason_2": "The facial distortion creates an 'uncanny valley' effect that is unsettling rather than enchanting.", "score_1": 9, "score_2": 1}, {"name": "Compositional Balance", "reason_1": "The subject is well-centered and framed by the trees, leading the eye naturally.", "reason_2": "The composition is acceptable, but the subject feels slightly disconnected from the background due to lighting mismatches.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a cohesive, pleasing image that matches the 'enchanting' mood. Video 2's aesthetic is ruined by the uncanny valley effect of the distorted subject.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior anatomical consistency, visual fidelity, and accurate capture of the requested emotional tone. While both videos attempt the correct setting and color palette, Video 2 suffers from severe facial distortion and morphing artifacts that destroy the 'serene' expression required by the prompt. Video 1 maintains a stable, striking subject with high-quality rendering of the flora and lighting.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 57.29} +{"pair_id": "089_seed_930", "sample_index": 89, "seed": 930, "prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_089_seed_930_The camera hurtles at breakneck speed through a di.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Manifestation (Vines & Tendrils)\", \"reason_1\": \"Video 1 fails to render distinct vines; the environment is a blurry, abstract tunnel with no recognizable plant life.\", \"reason_2\": \"Video 2 clearly renders green, vine-like structures on the walls that appear to be growing and twisting, aligning well with the prompt.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Transition (Tunnel to Labyrinth)\", \"reason_1\": \"Video 1 remains in a dark, undefined tunnel space throughout, failing to show the emergence into a sprawling labyrinth.\", \"reason_2\": \"Video 2 depicts a clearer transition from a darker, enclosed space into a brighter, more complex corridor filled with vegetation.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Attribute Fidelity (Vibrant Green vs. Earthy Tones)\", \"reason_1\": \"Video 1 has a muddy color palette with very little distinct green or earthy contrast.\", \"reason_2\": \"Video 2 successfully captures the 'vibrant green' of the vines contrasting against the 'dark, earthy tones' of the walls.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 accurately depicts the specific subjects (vines, labyrinth) and attributes (vibrant green, twisting motion) requested. Video 1 fails to generate the primary subject matter, resulting in an abstract blur.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Definition\", \"reason_1\": \"The video is extremely blurry and lacks texture definition; it looks like a low-resolution smear.\", \"reason_2\": \"The video maintains reasonable sharpness, allowing the viewer to see the texture of the walls and the leaves of the vines.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Coherence (Speed vs. Clarity)\", \"reason_1\": \"While it captures the 'breakneck speed' aspect, the motion is so fast that it destroys all visual coherence, making the video unwatchable.\", \"reason_2\": \"Video 2 balances the requested speed with enough frame stability to actually see the environment passing by.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Structural Stability\", \"reason_1\": \"The tunnel walls warp and dissolve into noise rather than maintaining a solid physical structure.\", \"reason_2\": \"The walls and vines maintain their structural integrity relative to the camera movement, creating a believable 3D space.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains visual clarity and texture definition despite the fast motion. Video 1 suffers from severe degradation, appearing as a low-resolution smear.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Thrilling & Unsettling)\", \"reason_1\": \"The atmosphere is confusing rather than thrilling due to the lack of visual information.\", \"reason_2\": \"The combination of the rushing camera and the encroaching greenery effectively creates the 'thrilling and unsettling' atmosphere described.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Navigation (Disorienting Angles)\", \"reason_1\": \"The camera moves in a straight line with little variation in angle.\", \"reason_2\": \"The camera weaves slightly and tilts, better simulating the 'disorienting angles' and 'weaving' motion requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression (The 'Dizzying Effect')\", \"reason_1\": \"The video is dizzying only because it is blurry, not because of a narrative build-up.\", \"reason_2\": \"The video builds a sense of being plunged deeper into a maze, fulfilling the narrative arc of the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully creates the 'thrilling and unsettling' atmosphere through effective camera work and set design. Video 1 lacks aesthetic appeal due to its poor quality.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Dynamic Environmental Interaction\", \"dims\": [{\"name\": \"Vine Growth Animation\", \"reason_1\": \"There is no visible growth animation; the environment is static and blurry.\", \"reason_2\": \"The vines appear to be actively twisting and expanding as the camera moves, fulfilling the 'rapidly growing' requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Tendril Interaction (Reaching Out)\", \"reason_1\": \"No tendrils are visible to reach out.\", \"reason_2\": \"The vines are positioned in a way that suggests they are reaching towards the camera path, matching the 'eager fingers' description.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Spatial Complexity (Labyrinthine Feel)\", \"reason_1\": \"The space feels like a simple, straight tube.\", \"reason_2\": \"The environment feels more complex and maze-like, with varying depths and obstacles.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category assesses the specific 'living' nature of the vines requested. Video 2 attempts to show growth and interaction, while Video 1 shows nothing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it successfully renders the core semantic elements of the prompt—specifically the vibrant green vines, the labyrinthine structure, and the transition from a tunnel to a complex environment. Video 1 fails to generate recognizable vines or a labyrinth, presenting instead a low-fidelity, blurry tunnel run that lacks the requested visual details and atmospheric contrast.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera hurtles at breakneck speed through a dimly lit tunnel, the walls a blur of shadow and light. Emerging into a sprawling labyrinth, the scene transforms into a chaotic dance of rapidly growing vines, twisting and curling with a life of their own. The camera navigates through disorienting angles, capturing the vines' relentless expansion, their tendrils reaching out like eager fingers. Fast transitions between shots create a dizzying effect, as the viewer is plunged deeper into the maze, the vibrant green of the vines contrasting starkly against the dark, earthy tones of the labyrinth. The atmosphere is both thrilling and unsettling, as the camera weaves through this living, breathing puzzle.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Manifestation (Vines & Tendrils)", "reason_1": "Video 1 fails to render distinct vines; the environment is a blurry, abstract tunnel with no recognizable plant life.", "reason_2": "Video 2 clearly renders green, vine-like structures on the walls that appear to be growing and twisting, aligning well with the prompt.", "score_1": 1, "score_2": 9}, {"name": "Environmental Transition (Tunnel to Labyrinth)", "reason_1": "Video 1 remains in a dark, undefined tunnel space throughout, failing to show the emergence into a sprawling labyrinth.", "reason_2": "Video 2 depicts a clearer transition from a darker, enclosed space into a brighter, more complex corridor filled with vegetation.", "score_1": 2, "score_2": 8}, {"name": "Attribute Fidelity (Vibrant Green vs. Earthy Tones)", "reason_1": "Video 1 has a muddy color palette with very little distinct green or earthy contrast.", "reason_2": "Video 2 successfully captures the 'vibrant green' of the vines contrasting against the 'dark, earthy tones' of the walls.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 accurately depicts the specific subjects (vines, labyrinth) and attributes (vibrant green, twisting motion) requested. Video 1 fails to generate the primary subject matter, resulting in an abstract blur.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Definition", "reason_1": "The video is extremely blurry and lacks texture definition; it looks like a low-resolution smear.", "reason_2": "The video maintains reasonable sharpness, allowing the viewer to see the texture of the walls and the leaves of the vines.", "score_1": 1, "score_2": 9}, {"name": "Motion Coherence (Speed vs. Clarity)", "reason_1": "While it captures the 'breakneck speed' aspect, the motion is so fast that it destroys all visual coherence, making the video unwatchable.", "reason_2": "Video 2 balances the requested speed with enough frame stability to actually see the environment passing by.", "score_1": 3, "score_2": 7}, {"name": "Structural Stability", "reason_1": "The tunnel walls warp and dissolve into noise rather than maintaining a solid physical structure.", "reason_2": "The walls and vines maintain their structural integrity relative to the camera movement, creating a believable 3D space.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains visual clarity and texture definition despite the fast motion. Video 1 suffers from severe degradation, appearing as a low-resolution smear.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Thrilling & Unsettling)", "reason_1": "The atmosphere is confusing rather than thrilling due to the lack of visual information.", "reason_2": "The combination of the rushing camera and the encroaching greenery effectively creates the 'thrilling and unsettling' atmosphere described.", "score_1": 2, "score_2": 8}, {"name": "Camera Navigation (Disorienting Angles)", "reason_1": "The camera moves in a straight line with little variation in angle.", "reason_2": "The camera weaves slightly and tilts, better simulating the 'disorienting angles' and 'weaving' motion requested.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression (The 'Dizzying Effect')", "reason_1": "The video is dizzying only because it is blurry, not because of a narrative build-up.", "reason_2": "The video builds a sense of being plunged deeper into a maze, fulfilling the narrative arc of the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully creates the 'thrilling and unsettling' atmosphere through effective camera work and set design. Video 1 lacks aesthetic appeal due to its poor quality.", "cat_winner": "Video 2"}, {"name": "D. Dynamic Environmental Interaction", "dims": [{"name": "Vine Growth Animation", "reason_1": "There is no visible growth animation; the environment is static and blurry.", "reason_2": "The vines appear to be actively twisting and expanding as the camera moves, fulfilling the 'rapidly growing' requirement.", "score_1": 1, "score_2": 9}, {"name": "Tendril Interaction (Reaching Out)", "reason_1": "No tendrils are visible to reach out.", "reason_2": "The vines are positioned in a way that suggests they are reaching towards the camera path, matching the 'eager fingers' description.", "score_1": 1, "score_2": 9}, {"name": "Spatial Complexity (Labyrinthine Feel)", "reason_1": "The space feels like a simple, straight tube.", "reason_2": "The environment feels more complex and maze-like, with varying depths and obstacles.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category assesses the specific 'living' nature of the vines requested. Video 2 attempts to show growth and interaction, while Video 1 shows nothing.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it successfully renders the core semantic elements of the prompt—specifically the vibrant green vines, the labyrinthine structure, and the transition from a tunnel to a complex environment. Video 1 fails to generate recognizable vines or a labyrinth, presenting instead a low-fidelity, blurry tunnel run that lacks the requested visual details and atmospheric contrast.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 23.0, "total_score_2": 97.0, "elapsed_sec": 73.469} +{"pair_id": "092_seed_310", "sample_index": 92, "seed": 310, "prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_310_A daring surfer clad in gleaming medieval armor ex.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_310_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_310_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_310_A daring surfer clad in gleaming medieval armor ex.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Equipment Completeness (Surfer + Board)\", \"reason_1\": \"Video 1 clearly depicts the surfer holding and riding a surfboard, fulfilling the core 'surfer' identity.\", \"reason_2\": \"Video 2 shows a knight moving forward but completely fails to generate the surfboard, missing a critical noun from the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Interaction (Board on Lava)\", \"reason_1\": \"Video 1 shows the board physically interacting with the lava surface, creating the requested 'crackles' and 'sparks' beneath it.\", \"reason_2\": \"Video 2 lacks the board, so there is no interaction between the board and the lava; the subject simply floats or moves over a blurry background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attribute Fidelity (Armor & Visor)\", \"reason_1\": \"Video 1 renders the armor with a metallic sheen and includes a helmet/visor structure that fits the description.\", \"reason_2\": \"Video 2 renders armor, but the helmet is open-faced without the specific 'visor reflecting hues' detail requested, and the style is less consistent.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 correctly identifies and renders the core subject as a 'surfer' with a board, whereas Video 2 fails to generate the board entirely, depicting only a knight moving forward.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence (Armor Consistency)\", \"reason_1\": \"The armor in Video 1 remains relatively consistent in design and color throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe hallucination; the armor changes from silver to gold, and the helmet shape morphs drastically between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 maintains a reasonable level of sharpness on the armor textures and the lava surface.\", \"reason_2\": \"Video 2 is plagued by motion blur and low-resolution artifacts, making the details muddy and indistinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Coherence (Surfing Physics)\", \"reason_1\": \"The motion in Video 1 mimics the balance and lean of surfing, aligning with the physics of the prompt.\", \"reason_2\": \"The motion in Video 2 is a chaotic, forward-leaning crawl that lacks the fluidity or logic of surfing.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains a stable subject identity and clearer textures. Video 2 suffers from severe temporal instability, with the armor changing color and shape randomly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Motion (Close Follow)\", \"reason_1\": \"The camera in Video 1 effectively tracks the subject from a side/front angle, simulating a 'follow' shot.\", \"reason_2\": \"Video 2 uses a shaky, frontal angle that feels more like a dolly zoom than a tracking shot of a surfer.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Lighting (Heat & Reflections)\", \"reason_1\": \"Video 1 captures the 'glowing red and orange hues' reflecting off the armor and the heat shimmering effect well.\", \"reason_2\": \"Video 2 has lighting, but the inconsistent armor colors break the immersion of the lighting effects.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Clarity (The Act of Surfing)\", \"reason_1\": \"The clip clearly communicates the story of a knight surfing lava.\", \"reason_2\": \"The narrative is lost; it looks like a confused clip of a knight running or falling, with no clear action.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully executes the 'camera follows closely' instruction and creates a cohesive scene. Video 2 is disjointed and visually confusing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully generates the essential 'surfboard' element and depicts the subject actually surfing, whereas Video 2 completely omits the board. Furthermore, Video 1 maintains significantly better temporal stability, while Video 2 suffers from severe morphing where the armor changes color and shape constantly.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Equipment Completeness (Surfer + Board)", "reason_1": "Video 1 clearly depicts the surfer holding and riding a surfboard, fulfilling the core 'surfer' identity.", "reason_2": "Video 2 shows a knight moving forward but completely fails to generate the surfboard, missing a critical noun from the prompt.", "score_1": 9, "score_2": 1}, {"name": "Environmental Interaction (Board on Lava)", "reason_1": "Video 1 shows the board physically interacting with the lava surface, creating the requested 'crackles' and 'sparks' beneath it.", "reason_2": "Video 2 lacks the board, so there is no interaction between the board and the lava; the subject simply floats or moves over a blurry background.", "score_1": 8, "score_2": 2}, {"name": "Attribute Fidelity (Armor & Visor)", "reason_1": "Video 1 renders the armor with a metallic sheen and includes a helmet/visor structure that fits the description.", "reason_2": "Video 2 renders armor, but the helmet is open-faced without the specific 'visor reflecting hues' detail requested, and the style is less consistent.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 correctly identifies and renders the core subject as a 'surfer' with a board, whereas Video 2 fails to generate the board entirely, depicting only a knight moving forward.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence (Armor Consistency)", "reason_1": "The armor in Video 1 remains relatively consistent in design and color throughout the clip.", "reason_2": "Video 2 exhibits severe hallucination; the armor changes from silver to gold, and the helmet shape morphs drastically between frames.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 maintains a reasonable level of sharpness on the armor textures and the lava surface.", "reason_2": "Video 2 is plagued by motion blur and low-resolution artifacts, making the details muddy and indistinct.", "score_1": 7, "score_2": 3}, {"name": "Motion Coherence (Surfing Physics)", "reason_1": "The motion in Video 1 mimics the balance and lean of surfing, aligning with the physics of the prompt.", "reason_2": "The motion in Video 2 is a chaotic, forward-leaning crawl that lacks the fluidity or logic of surfing.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains a stable subject identity and clearer textures. Video 2 suffers from severe temporal instability, with the armor changing color and shape randomly.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Motion (Close Follow)", "reason_1": "The camera in Video 1 effectively tracks the subject from a side/front angle, simulating a 'follow' shot.", "reason_2": "Video 2 uses a shaky, frontal angle that feels more like a dolly zoom than a tracking shot of a surfer.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Lighting (Heat & Reflections)", "reason_1": "Video 1 captures the 'glowing red and orange hues' reflecting off the armor and the heat shimmering effect well.", "reason_2": "Video 2 has lighting, but the inconsistent armor colors break the immersion of the lighting effects.", "score_1": 7, "score_2": 3}, {"name": "Narrative Clarity (The Act of Surfing)", "reason_1": "The clip clearly communicates the story of a knight surfing lava.", "reason_2": "The narrative is lost; it looks like a confused clip of a knight running or falling, with no clear action.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully executes the 'camera follows closely' instruction and creates a cohesive scene. Video 2 is disjointed and visually confusing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully generates the essential 'surfboard' element and depicts the subject actually surfing, whereas Video 2 completely omits the board. Furthermore, Video 1 maintains significantly better temporal stability, while Video 2 suffers from severe morphing where the armor changes color and shape constantly.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 59.574} +{"pair_id": "095_seed_42", "sample_index": 95, "seed": 42, "prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_42_The camera begins its ascent from a bustling urban.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_42_The camera begins its ascent from a bustling urban.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_42_The camera begins its ascent from a bustling urban.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_42_The camera begins its ascent from a bustling urban.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory (Ascent from Street)\", \"reason_1\": \"Video 1 starts high and moves forward/vertically, failing to capture the 'ascent from a bustling urban street' perspective.\", \"reason_2\": \"Video 2 perfectly executes the prompt's instruction, starting at street level and rising vertically to reveal the city.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Detail (Rain & Reflections)\", \"reason_1\": \"Video 1 shows wet surfaces, but the reflections are muddy and lack the specific 'colorful' quality requested.\", \"reason_2\": \"Video 2 renders distinct, realistic reflections of streetlights on the wet pavement, matching the 'rain-slicked' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Transition (Warm to Cool)\", \"reason_1\": \"Video 1 is predominantly dark and cool-toned throughout, missing the 'warm hues of sunset' starting point.\", \"reason_2\": \"Video 2 captures the transition from the warmer, brighter street lights to the cool blue twilight of the upper cityscape.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Presence (Pedestrians & Cars)\", \"reason_1\": \"Video 1 shows cars, but pedestrians are indistinguishable blurs.\", \"reason_2\": \"Video 2 clearly depicts the 'vibrant energy' of both moving cars and pedestrians on the crosswalks at the start.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 correctly interprets the spatial and temporal progression of the prompt, starting low and moving high. Video 1 fails the fundamental camera movement instruction.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and lacks definition, resembling a low-quality generation.\", \"reason_2\": \"The video is sharp, with clear edges on buildings and distinct details on the street level.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Structural Stability (Geometry)\", \"reason_1\": \"Buildings and cars appear to warp and lose shape as the camera moves.\", \"reason_2\": \"The geometry of the buildings and streets remains solid and consistent throughout the ascent.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion feels slightly jerky and unnatural.\", \"reason_2\": \"The camera movement is smooth and cinematic, mimicking a professional crane or drone shot.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 offers a crisp, high-resolution image with stable geometry. Video 1 is plagued by blurriness and low fidelity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition (The Reveal)\", \"reason_1\": \"The framing is tight and claustrophobic, failing to show the 'intricate network of streets' effectively.\", \"reason_2\": \"The wide-angle ascent creates a grand sense of scale, effectively revealing the cityscape as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Mood (Mesmerizing Tapestry)\", \"reason_1\": \"The atmosphere is dark and muddy, lacking the 'mesmerizing' quality.\", \"reason_2\": \"The contrast between the street lights and the blue sky creates a vibrant, atmospheric mood that fits the prompt well.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression (Day to Night)\", \"reason_1\": \"There is no clear narrative progression; the scene remains static in its lighting state.\", \"reason_2\": \"The video successfully conveys the passage of time and the shift in the city's energy from day/late afternoon to night.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 delivers a cinematic 'reveal' that matches the narrative arc of the prompt, whereas Video 1 feels like a random, low-quality clip.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the specific camera movement (ascent from street level) and environmental details (rain reflections, lighting transition) requested in the prompt. Video 1 fails to start at street level, suffers from significant blur, and lacks the requested visual clarity and narrative progression.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory (Ascent from Street)", "reason_1": "Video 1 starts high and moves forward/vertically, failing to capture the 'ascent from a bustling urban street' perspective.", "reason_2": "Video 2 perfectly executes the prompt's instruction, starting at street level and rising vertically to reveal the city.", "score_1": 1, "score_2": 9}, {"name": "Environmental Detail (Rain & Reflections)", "reason_1": "Video 1 shows wet surfaces, but the reflections are muddy and lack the specific 'colorful' quality requested.", "reason_2": "Video 2 renders distinct, realistic reflections of streetlights on the wet pavement, matching the 'rain-slicked' description.", "score_1": 3, "score_2": 7}, {"name": "Lighting Transition (Warm to Cool)", "reason_1": "Video 1 is predominantly dark and cool-toned throughout, missing the 'warm hues of sunset' starting point.", "reason_2": "Video 2 captures the transition from the warmer, brighter street lights to the cool blue twilight of the upper cityscape.", "score_1": 2, "score_2": 8}, {"name": "Subject Presence (Pedestrians & Cars)", "reason_1": "Video 1 shows cars, but pedestrians are indistinguishable blurs.", "reason_2": "Video 2 clearly depicts the 'vibrant energy' of both moving cars and pedestrians on the crosswalks at the start.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 correctly interprets the spatial and temporal progression of the prompt, starting low and moving high. Video 1 fails the fundamental camera movement instruction.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and lacks definition, resembling a low-quality generation.", "reason_2": "The video is sharp, with clear edges on buildings and distinct details on the street level.", "score_1": 2, "score_2": 8}, {"name": "Structural Stability (Geometry)", "reason_1": "Buildings and cars appear to warp and lose shape as the camera moves.", "reason_2": "The geometry of the buildings and streets remains solid and consistent throughout the ascent.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness", "reason_1": "The motion feels slightly jerky and unnatural.", "reason_2": "The camera movement is smooth and cinematic, mimicking a professional crane or drone shot.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 offers a crisp, high-resolution image with stable geometry. Video 1 is plagued by blurriness and low fidelity.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition (The Reveal)", "reason_1": "The framing is tight and claustrophobic, failing to show the 'intricate network of streets' effectively.", "reason_2": "The wide-angle ascent creates a grand sense of scale, effectively revealing the cityscape as requested.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Mood (Mesmerizing Tapestry)", "reason_1": "The atmosphere is dark and muddy, lacking the 'mesmerizing' quality.", "reason_2": "The contrast between the street lights and the blue sky creates a vibrant, atmospheric mood that fits the prompt well.", "score_1": 3, "score_2": 7}, {"name": "Narrative Progression (Day to Night)", "reason_1": "There is no clear narrative progression; the scene remains static in its lighting state.", "reason_2": "The video successfully conveys the passage of time and the shift in the city's energy from day/late afternoon to night.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 delivers a cinematic 'reveal' that matches the narrative arc of the prompt, whereas Video 1 feels like a random, low-quality clip.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the specific camera movement (ascent from street level) and environmental details (rain reflections, lighting transition) requested in the prompt. Video 1 fails to start at street level, suffers from significant blur, and lacks the requested visual clarity and narrative progression.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 26.0, "total_score_2": 74.0, "elapsed_sec": 60.236} +{"pair_id": "097_seed_930", "sample_index": 97, "seed": 930, "prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_097_seed_930_An aerial view reveals an expansive field of vibra.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Perspective (Aerial vs. Low Angle)\", \"reason_1\": \"Video 1 provides a clear, high-angle aerial view that reveals the vastness of the field as requested.\", \"reason_2\": \"Video 2 presents a low-angle, ground-level perspective that completely ignores the 'aerial view' instruction.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Semantics (Wave-like vs. Blur)\", \"reason_1\": \"Video 1 depicts the flowers swaying in a rhythmic, wave-like pattern across the landscape, matching the prompt's 'mesmerizing wave-like motion'.\", \"reason_2\": \"Video 2 relies on fast camera movement causing motion blur, rather than the swaying of the flowers themselves.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Scope (Expansive Field)\", \"reason_1\": \"Video 1 shows a horizon line and a massive scale, fulfilling the 'expansive field' and 'vast, open sky' requirements.\", \"reason_2\": \"Video 2 is a tight shot with no visible horizon or sense of scale, failing to convey the 'expansive' nature of the scene.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 correctly interprets the spatial and motion requirements of the prompt, whereas Video 2 fails to provide the requested aerial perspective and specific motion dynamics.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with distinct separation between the pink flowers and green foliage.\", \"reason_2\": \"The video is heavily blurred, likely due to simulated speed or low generation quality, making details indistinguishable.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Stability\", \"reason_1\": \"The video maintains a consistent frame rate and object permanence throughout the clip.\", \"reason_2\": \"The rapid movement creates a jittery, unstable visual experience that lacks temporal coherence.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Color Consistency\", \"reason_1\": \"Video 1 maintains the 'warm, golden glow' consistently across the frame without washing out details.\", \"reason_2\": \"While the lighting is warm, the excessive blur muddies the colors, reducing the vibrancy of the pink and green hues.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers superior clarity and stability. Video 2 suffers from excessive motion blur and a lack of definition in the subject matter.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Tranquility)\", \"reason_1\": \"The slow, gliding camera and gentle swaying motion perfectly evoke the requested sense of 'tranquility and wonder'.\", \"reason_2\": \"The fast, rushing camera movement creates a sense of urgency or speed, which is the opposite of the requested 'serene dance'.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Compositional Balance\", \"reason_1\": \"The framing allows for a balanced view of the sky, the horizon, and the field, creating a pleasing composition.\", \"reason_2\": \"The composition is chaotic and lacks a focal point due to the speed and blur.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Flow (Gliding Motion)\", \"reason_1\": \"The camera movement is smooth and controlled, effectively 'gliding' over the field as described.\", \"reason_2\": \"The camera movement feels rushed and erratic, lacking the smooth 'glide' requested in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully captures the 'tranquil' and 'dreamlike' mood, while Video 2's fast pace contradicts the intended emotional tone.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the 'aerial view' and 'expansive field' constraints, successfully depicting the rhythmic, wave-like motion of the flowers described in the prompt. Video 2 fails the core perspective requirement, presenting a low-angle, fast-moving shot that lacks the requested tranquility and scale.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "An aerial view reveals an expansive field of vibrant pink flowers, their petals swaying gracefully in the gentle breeze, creating a mesmerizing wave-like motion across the landscape. The sun casts a warm, golden glow, enhancing the dreamlike quality of the scene. As the camera glides over the field, the flowers' delicate hues blend seamlessly with the lush green foliage, forming a stunning tapestry of color. The rhythmic movement of the petals, reminiscent of ocean waves, evokes a sense of tranquility and wonder, as if nature itself is performing a serene dance under the vast, open sky.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Perspective (Aerial vs. Low Angle)", "reason_1": "Video 1 provides a clear, high-angle aerial view that reveals the vastness of the field as requested.", "reason_2": "Video 2 presents a low-angle, ground-level perspective that completely ignores the 'aerial view' instruction.", "score_1": 9, "score_2": 1}, {"name": "Motion Semantics (Wave-like vs. Blur)", "reason_1": "Video 1 depicts the flowers swaying in a rhythmic, wave-like pattern across the landscape, matching the prompt's 'mesmerizing wave-like motion'.", "reason_2": "Video 2 relies on fast camera movement causing motion blur, rather than the swaying of the flowers themselves.", "score_1": 8, "score_2": 2}, {"name": "Environmental Scope (Expansive Field)", "reason_1": "Video 1 shows a horizon line and a massive scale, fulfilling the 'expansive field' and 'vast, open sky' requirements.", "reason_2": "Video 2 is a tight shot with no visible horizon or sense of scale, failing to convey the 'expansive' nature of the scene.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 correctly interprets the spatial and motion requirements of the prompt, whereas Video 2 fails to provide the requested aerial perspective and specific motion dynamics.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with distinct separation between the pink flowers and green foliage.", "reason_2": "The video is heavily blurred, likely due to simulated speed or low generation quality, making details indistinguishable.", "score_1": 8, "score_2": 2}, {"name": "Temporal Stability", "reason_1": "The video maintains a consistent frame rate and object permanence throughout the clip.", "reason_2": "The rapid movement creates a jittery, unstable visual experience that lacks temporal coherence.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Color Consistency", "reason_1": "Video 1 maintains the 'warm, golden glow' consistently across the frame without washing out details.", "reason_2": "While the lighting is warm, the excessive blur muddies the colors, reducing the vibrancy of the pink and green hues.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers superior clarity and stability. Video 2 suffers from excessive motion blur and a lack of definition in the subject matter.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Tranquility)", "reason_1": "The slow, gliding camera and gentle swaying motion perfectly evoke the requested sense of 'tranquility and wonder'.", "reason_2": "The fast, rushing camera movement creates a sense of urgency or speed, which is the opposite of the requested 'serene dance'.", "score_1": 9, "score_2": 1}, {"name": "Compositional Balance", "reason_1": "The framing allows for a balanced view of the sky, the horizon, and the field, creating a pleasing composition.", "reason_2": "The composition is chaotic and lacks a focal point due to the speed and blur.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Flow (Gliding Motion)", "reason_1": "The camera movement is smooth and controlled, effectively 'gliding' over the field as described.", "reason_2": "The camera movement feels rushed and erratic, lacking the smooth 'glide' requested in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully captures the 'tranquil' and 'dreamlike' mood, while Video 2's fast pace contradicts the intended emotional tone.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the 'aerial view' and 'expansive field' constraints, successfully depicting the rhythmic, wave-like motion of the flowers described in the prompt. Video 2 fails the core perspective requirement, presenting a low-angle, fast-moving shot that lacks the requested tranquility and scale.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 57.992} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5_summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..086a59f55363a70cff49c8cbefd7d1c33cf68423 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5_summary.json @@ -0,0 +1,31 @@ +{ + "total": 37, + "success": 37, + "counts": { + "yw002-1-sage-baseline": 26, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 11, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.7027027027027027, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.2972972972972973 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.7027027027027027, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.2972972972972973 + }, + "latency_sec": { + "mean": 60.70878378378379, + "median": 59.851, + "min": 51.801, + "max": 77.167 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_5.jsonl", + "shard_count": 8, + "shard_index": 5 +} \ No newline at end of file diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6.jsonl b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae336e0277e355e653967e38fe6a3fe4163b2b1e --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6.jsonl @@ -0,0 +1,37 @@ +{"pair_id": "002_seed_42", "sample_index": 2, "seed": 42, "prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_002_seed_42_In a sleek modern office with glass walls and mini.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_42_In a sleek modern office with glass walls and mini.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_002_seed_42_In a sleek modern office with glass walls and mini.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_42_In a sleek modern office with glass walls and mini.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attire Color & Style Specificity\", \"reason_1\": \"Video 1 correctly depicts the navy suit and light blue shirt combination, though the charcoal blazer is rendered as a very dark navy.\", \"reason_2\": \"Video 2 correctly depicts the navy suit and charcoal blazer, but the shirt under the charcoal blazer is greyish rather than the requested light blue.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Action Fidelity (Handshake Mechanics)\", \"reason_1\": \"The handshake is present but feels stiff and lacks the 'enthusiastic' energy requested; the hands appear somewhat merged.\", \"reason_2\": \"The handshake is dynamic, firm, and enthusiastic, perfectly matching the prompt's description of the interaction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Office & Lighting)\", \"reason_1\": \"The environment is correct but the lighting is somewhat flat and the background lacks depth.\", \"reason_2\": \"The video captures the 'sleek, modern' vibe with excellent depth of field and realistic sunlight streaming through the glass walls.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos adhere well to the core semantic elements, but Video 2 captures the 'enthusiastic' nature of the handshake and the 'sleek' atmosphere more effectively, despite a minor deviation in shirt color.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Photorealistic Texture Rendering\", \"reason_1\": \"Skin textures appear waxy and plastic; the overall image lacks the sharpness of real footage.\", \"reason_2\": \"Exceptional realism; skin pores, hair strands, and fabric weaves are rendered with high fidelity.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Anatomical Integrity (Hands & Faces)\", \"reason_1\": \"The hands during the handshake suffer from slight morphing and lack distinct finger definition.\", \"reason_2\": \"The hands are anatomically distinct and maintain their structure well during the complex interaction of the handshake.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Fluidity & Naturalness\", \"reason_1\": \"Movement is minimal and slightly robotic, lacking natural micro-movements.\", \"reason_2\": \"The subjects move naturally, with realistic weight shifts and fluid arm movements during the greeting.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is vastly superior in technical execution, offering photorealistic textures and stable motion, whereas Video 1 has a distinct 'AI-generated' smoothness and lower resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"Lighting is functional but lacks the 'soft glow' and atmospheric depth described.\", \"reason_2\": \"Beautiful use of backlighting and soft fill light creates a warm, professional, and cinematic atmosphere.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Emotional Authenticity (Expressions)\", \"reason_1\": \"The smiles feel fixed and slightly uncanny, failing to fully convey 'warmth and camaraderie'.\", \"reason_2\": \"The expressions are genuine, warm, and engaging, effectively communicating the requested mood of mutual respect.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Composition & Visual Appeal\", \"reason_1\": \"Standard framing, but the image looks somewhat flat and digital.\", \"reason_2\": \"Excellent framing with a pleasing depth of field that separates the subjects from the background, enhancing visual appeal.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 delivers a cinematic, high-end commercial look with genuine emotional expression, whereas Video 1 feels like a generic stock generation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates superior photorealism, dynamic motion, and emotional authenticity compared to Video 1. While Video 1 adheres strictly to the color palette, it suffers from a static, artificial appearance and minor anatomical issues with the hands. Video 2 captures the 'enthusiastic' and 'warm' nature of the prompt with cinematic lighting and natural human movement.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attire Color & Style Specificity", "reason_1": "Video 1 correctly depicts the navy suit and light blue shirt combination, though the charcoal blazer is rendered as a very dark navy.", "reason_2": "Video 2 correctly depicts the navy suit and charcoal blazer, but the shirt under the charcoal blazer is greyish rather than the requested light blue.", "score_1": 6, "score_2": 4}, {"name": "Action Fidelity (Handshake Mechanics)", "reason_1": "The handshake is present but feels stiff and lacks the 'enthusiastic' energy requested; the hands appear somewhat merged.", "reason_2": "The handshake is dynamic, firm, and enthusiastic, perfectly matching the prompt's description of the interaction.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Office & Lighting)", "reason_1": "The environment is correct but the lighting is somewhat flat and the background lacks depth.", "reason_2": "The video captures the 'sleek, modern' vibe with excellent depth of field and realistic sunlight streaming through the glass walls.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos adhere well to the core semantic elements, but Video 2 captures the 'enthusiastic' nature of the handshake and the 'sleek' atmosphere more effectively, despite a minor deviation in shirt color.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Photorealistic Texture Rendering", "reason_1": "Skin textures appear waxy and plastic; the overall image lacks the sharpness of real footage.", "reason_2": "Exceptional realism; skin pores, hair strands, and fabric weaves are rendered with high fidelity.", "score_1": 2, "score_2": 8}, {"name": "Anatomical Integrity (Hands & Faces)", "reason_1": "The hands during the handshake suffer from slight morphing and lack distinct finger definition.", "reason_2": "The hands are anatomically distinct and maintain their structure well during the complex interaction of the handshake.", "score_1": 3, "score_2": 7}, {"name": "Motion Fluidity & Naturalness", "reason_1": "Movement is minimal and slightly robotic, lacking natural micro-movements.", "reason_2": "The subjects move naturally, with realistic weight shifts and fluid arm movements during the greeting.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is vastly superior in technical execution, offering photorealistic textures and stable motion, whereas Video 1 has a distinct 'AI-generated' smoothness and lower resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "Lighting is functional but lacks the 'soft glow' and atmospheric depth described.", "reason_2": "Beautiful use of backlighting and soft fill light creates a warm, professional, and cinematic atmosphere.", "score_1": 3, "score_2": 7}, {"name": "Emotional Authenticity (Expressions)", "reason_1": "The smiles feel fixed and slightly uncanny, failing to fully convey 'warmth and camaraderie'.", "reason_2": "The expressions are genuine, warm, and engaging, effectively communicating the requested mood of mutual respect.", "score_1": 2, "score_2": 8}, {"name": "Composition & Visual Appeal", "reason_1": "Standard framing, but the image looks somewhat flat and digital.", "reason_2": "Excellent framing with a pleasing depth of field that separates the subjects from the background, enhancing visual appeal.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 delivers a cinematic, high-end commercial look with genuine emotional expression, whereas Video 1 feels like a generic stock generation.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates superior photorealism, dynamic motion, and emotional authenticity compared to Video 1. While Video 1 adheres strictly to the color palette, it suffers from a static, artificial appearance and minor anatomical issues with the hands. Video 2 captures the 'enthusiastic' and 'warm' nature of the prompt with cinematic lighting and natural human movement.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 72.313} +{"pair_id": "004_seed_930", "sample_index": 4, "seed": 930, "prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_004_seed_930_In a sunlit garden a young boy with tousled hair a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Stroking Interaction)\", \"reason_1\": \"The interaction is vague; the boy's hand is present but does not clearly stroke the dog, and the dog's reaction is erratic.\", \"reason_2\": \"The video clearly depicts the boy's hand gently stroking the dog's fur, aligning perfectly with the prompt's instruction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attributes (Boy & Dog)\", \"reason_1\": \"While the subjects are present, the boy's features are inconsistent, and the dog's breed characteristics are obscured by blur.\", \"reason_2\": \"The boy and the Border Collie are rendered with high fidelity, matching the 'tousled hair' and 'black-and-white fur' descriptions accurately.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Tone (Serene & Sunlit)\", \"reason_1\": \"The chaotic motion and visual artifacts disrupt the intended serene atmosphere.\", \"reason_2\": \"The lighting and gentle pacing successfully evoke the 'serene and heartwarming' mood described in the prompt.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the specific interaction of stroking the dog and captures the serene mood. Video 1 fails to clearly show the stroking action and the dog's reaction is chaotic rather than content.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Anatomy)\", \"reason_1\": \"The boy's face suffers from severe distortion and 'melting' effects, and the dog's head shape fluctuates unnaturally.\", \"reason_2\": \"Both the boy and the dog maintain consistent anatomical structure and identity throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The video is blurry, with significant noise and lack of definition in textures.\", \"reason_2\": \"The image is sharp, with clear textures on the grass, hair, and fur.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The motion is jerky and unnatural, with the dog appearing to move independently of physical constraints.\", \"reason_2\": \"The movement of the boy leaning forward and the dog's subtle reactions are fluid and physically plausible.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is awkward, with the dog's face often dominating the shot in a distorted manner.\", \"reason_2\": \"The composition is balanced, effectively capturing the connection between the boy and the dog in a pleasing close-up.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Emotional Impact (Bond & Affection)\", \"reason_1\": \"The visual glitches create an uncanny valley effect that detracts from any sense of affection.\", \"reason_2\": \"The gentle interaction and warm lighting successfully convey the bond and affection requested by the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"The lighting is flat and the colors are somewhat washed out.\", \"reason_2\": \"The video utilizes a warm, backlit 'sunlit' aesthetic that enhances the emotional tone.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a pleasing composition with beautiful lighting that enhances the emotional narrative. Video 1 lacks aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is superior in every category. It delivers a high-fidelity, stable, and aesthetically pleasing interpretation of the prompt with accurate subject interactions. Video 1 suffers from severe morphological instability, low resolution, and chaotic motion that breaks the immersion and fails to convey the requested serenity.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sunlit garden, a young boy with tousled hair and a bright smile leans forward, his eyes sparkling with joy as he extends his right hand. The camera captures the tender moment in close-up as his fingers gently stroke the soft, black-and-white fur of a Border Collie. The dog's eyes close in contentment, its tail wagging gently, reflecting the bond between them. The boy's laughter fills the air, harmonizing with the gentle rustle of leaves and distant birdsong, creating a serene and heartwarming scene of friendship and affection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Stroking Interaction)", "reason_1": "The interaction is vague; the boy's hand is present but does not clearly stroke the dog, and the dog's reaction is erratic.", "reason_2": "The video clearly depicts the boy's hand gently stroking the dog's fur, aligning perfectly with the prompt's instruction.", "score_1": 2, "score_2": 8}, {"name": "Subject Attributes (Boy & Dog)", "reason_1": "While the subjects are present, the boy's features are inconsistent, and the dog's breed characteristics are obscured by blur.", "reason_2": "The boy and the Border Collie are rendered with high fidelity, matching the 'tousled hair' and 'black-and-white fur' descriptions accurately.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Tone (Serene & Sunlit)", "reason_1": "The chaotic motion and visual artifacts disrupt the intended serene atmosphere.", "reason_2": "The lighting and gentle pacing successfully evoke the 'serene and heartwarming' mood described in the prompt.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the specific interaction of stroking the dog and captures the serene mood. Video 1 fails to clearly show the stroking action and the dog's reaction is chaotic rather than content.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Anatomy)", "reason_1": "The boy's face suffers from severe distortion and 'melting' effects, and the dog's head shape fluctuates unnaturally.", "reason_2": "Both the boy and the dog maintain consistent anatomical structure and identity throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Clarity", "reason_1": "The video is blurry, with significant noise and lack of definition in textures.", "reason_2": "The image is sharp, with clear textures on the grass, hair, and fur.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The motion is jerky and unnatural, with the dog appearing to move independently of physical constraints.", "reason_2": "The movement of the boy leaning forward and the dog's subtle reactions are fluid and physically plausible.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade stability and clarity. Video 1 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is awkward, with the dog's face often dominating the shot in a distorted manner.", "reason_2": "The composition is balanced, effectively capturing the connection between the boy and the dog in a pleasing close-up.", "score_1": 3, "score_2": 7}, {"name": "Emotional Impact (Bond & Affection)", "reason_1": "The visual glitches create an uncanny valley effect that detracts from any sense of affection.", "reason_2": "The gentle interaction and warm lighting successfully convey the bond and affection requested by the prompt.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Color Harmony", "reason_1": "The lighting is flat and the colors are somewhat washed out.", "reason_2": "The video utilizes a warm, backlit 'sunlit' aesthetic that enhances the emotional tone.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a pleasing composition with beautiful lighting that enhances the emotional narrative. Video 1 lacks aesthetic appeal due to its technical flaws.", "cat_winner": "Video 2"}], "reason": "Video 2 is superior in every category. It delivers a high-fidelity, stable, and aesthetically pleasing interpretation of the prompt with accurate subject interactions. Video 1 suffers from severe morphological instability, low resolution, and chaotic motion that breaks the immersion and fails to convey the requested serenity.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 21.0, "total_score_2": 69.0, "elapsed_sec": 52.725} +{"pair_id": "007_seed_310", "sample_index": 7, "seed": 310, "prompt": "A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_007_seed_310_A sleek black car glides smoothly along a winding.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_310_A sleek black car glides smoothly along a winding.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_007_seed_310_A sleek black car glides smoothly along a winding.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_310_A sleek black car glides smoothly along a winding.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition & Attribute Fidelity\", \"reason_1\": \"Video 1 renders a distinct, sleek black car with consistent geometry and realistic reflections.\", \"reason_2\": \"Video 2's car is heavily distorted, appearing to melt and lose its structural integrity, failing to represent a 'sleek' vehicle.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Coastal/Rocky)\", \"reason_1\": \"Video 1 clearly depicts the rocky cliffs and the ocean background as requested.\", \"reason_2\": \"Video 2 suggests a coastal setting, but the background is a blurry, incoherent mess that lacks the specific 'rocky cliffs' detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Adherence (Smooth Gliding)\", \"reason_1\": \"The car in Video 1 moves with the requested smoothness and stability.\", \"reason_2\": \"The motion in Video 2 is jerky and unnatural due to the morphing of the subject, failing the 'glides smoothly' instruction.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the 'sleek black car' and the 'rocky cliffs' with high fidelity. Video 2 fails to maintain the semantic integrity of the car, which deforms significantly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The car maintains a solid, rigid shape throughout the entire clip.\", \"reason_2\": \"The car in Video 2 constantly changes shape, shrinking and expanding like liquid, which is a critical failure in realism.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Clarity\", \"reason_1\": \"The image is sharp, clear, and high-resolution.\", \"reason_2\": \"The video is plagued by excessive blur and low-resolution artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Motion Physics)\", \"reason_1\": \"The car follows the road curvature logically with appropriate weight.\", \"reason_2\": \"The car appears to slide sideways and float rather than drive, lacking connection to the road surface.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 exhibits severe hallucinations and temporal instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing is balanced, keeping the car as the clear focal point against the landscape.\", \"reason_2\": \"The framing is erratic, and the distortion makes the composition unpleasant to watch.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmosphere & Lighting (Golden Glow)\", \"reason_1\": \"Video 1 captures the 'golden glow' and 'polished surface' effectively with realistic lighting.\", \"reason_2\": \"Video 2 has blown-out highlights and muddy shadows, failing to convey the requested aesthetic mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is smooth and tracks the subject well, simulating a professional tracking shot.\", \"reason_2\": \"The camera movement feels unstable and contributes to the overall disorienting nature of the clip.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully evokes the 'freedom and adventure' mood through clear visuals and good lighting. Video 2 is visually unappealing due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, structural stability, and adherence to the prompt's aesthetic requirements. It presents a coherent, realistic vehicle navigating a clearly defined coastal environment. In contrast, Video 2 suffers from severe morphological instability, where the car distorts and loses its shape, and the background is obscured by excessive motion blur and artifacts, failing to meet the quality standards implied by the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition & Attribute Fidelity", "reason_1": "Video 1 renders a distinct, sleek black car with consistent geometry and realistic reflections.", "reason_2": "Video 2's car is heavily distorted, appearing to melt and lose its structural integrity, failing to represent a 'sleek' vehicle.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Coastal/Rocky)", "reason_1": "Video 1 clearly depicts the rocky cliffs and the ocean background as requested.", "reason_2": "Video 2 suggests a coastal setting, but the background is a blurry, incoherent mess that lacks the specific 'rocky cliffs' detail.", "score_1": 8, "score_2": 2}, {"name": "Action Adherence (Smooth Gliding)", "reason_1": "The car in Video 1 moves with the requested smoothness and stability.", "reason_2": "The motion in Video 2 is jerky and unnatural due to the morphing of the subject, failing the 'glides smoothly' instruction.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the 'sleek black car' and the 'rocky cliffs' with high fidelity. Video 2 fails to maintain the semantic integrity of the car, which deforms significantly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The car maintains a solid, rigid shape throughout the entire clip.", "reason_2": "The car in Video 2 constantly changes shape, shrinking and expanding like liquid, which is a critical failure in realism.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Clarity", "reason_1": "The image is sharp, clear, and high-resolution.", "reason_2": "The video is plagued by excessive blur and low-resolution artifacts.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Motion Physics)", "reason_1": "The car follows the road curvature logically with appropriate weight.", "reason_2": "The car appears to slide sideways and float rather than drive, lacking connection to the road surface.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 exhibits severe hallucinations and temporal instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "The framing is balanced, keeping the car as the clear focal point against the landscape.", "reason_2": "The framing is erratic, and the distortion makes the composition unpleasant to watch.", "score_1": 8, "score_2": 2}, {"name": "Atmosphere & Lighting (Golden Glow)", "reason_1": "Video 1 captures the 'golden glow' and 'polished surface' effectively with realistic lighting.", "reason_2": "Video 2 has blown-out highlights and muddy shadows, failing to convey the requested aesthetic mood.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is smooth and tracks the subject well, simulating a professional tracking shot.", "reason_2": "The camera movement feels unstable and contributes to the overall disorienting nature of the clip.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully evokes the 'freedom and adventure' mood through clear visuals and good lighting. Video 2 is visually unappealing due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, structural stability, and adherence to the prompt's aesthetic requirements. It presents a coherent, realistic vehicle navigating a clearly defined coastal environment. In contrast, Video 2 suffers from severe morphological instability, where the car distorts and loses its shape, and the background is obscured by excessive motion blur and artifacts, failing to meet the quality standards implied by the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 53.424} +{"pair_id": "010_seed_42", "sample_index": 10, "seed": 42, "prompt": "From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_010_seed_42_From a high vantage point the camera captures a bu.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_010_seed_42_From a high vantage point the camera captures a bu.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_010_seed_42_From a high vantage point the camera captures a bu.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_010_seed_42_From a high vantage point the camera captures a bu.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Perspective (High Vantage Point)\", \"reason_1\": \"Video 1 completely ignores the 'high vantage point' instruction, presenting a street-level, eye-level shot.\", \"reason_2\": \"Video 2 correctly utilizes an elevated camera angle, looking down on the street as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Definition (Pedestrians & Attire)\", \"reason_1\": \"Video 1 clearly depicts pedestrians in winter coats and scarves with distinct features.\", \"reason_2\": \"Video 2 fails to render distinct pedestrians; they appear as amorphous, blurry blobs with no discernible clothing details.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Reflections & Wet Pavement)\", \"reason_1\": \"Video 1 renders the wet pavement and shimmering reflections with high realism and texture.\", \"reason_2\": \"Video 2 shows wet ground, but the reflections are muddy and lack the 'shimmering' quality described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Lighting (Golden vs Cool)\", \"reason_1\": \"Video 1 captures the specific contrast between the warm shop window glow and the cool evening air effectively.\", \"reason_2\": \"Video 2 has a washed-out color palette that fails to capture the vibrant contrast described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Although Video 2 correctly implements the camera angle, Video 1 vastly outperforms it in generating the actual subjects and environmental details requested, such as the pedestrians' attire and the specific lighting effects.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is crisp, clear, and high-resolution, maintaining detail in both foreground and background.\", \"reason_2\": \"The video is extremely blurry and low-resolution, resembling a low-quality thumbnail upscale.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Morphological Stability\", \"reason_1\": \"Subjects maintain their shape and form consistently throughout the clip.\", \"reason_2\": \"Pedestrians and cars suffer from severe morphing and ghosting artifacts as they move.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement of the car and pedestrians is fluid and grounded in realistic physics.\", \"reason_2\": \"Motion is jerky and unnatural, with objects appearing to slide or float rather than interact with the ground.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is a high-definition generation with stable subjects, whereas Video 2 suffers from severe blur, low resolution, and significant morphological instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is aesthetically pleasing, with rich colors and a professional look.\", \"reason_2\": \"The video is visually unappealing due to excessive blur and lack of detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Mood & Atmosphere (Serene yet Lively)\", \"reason_1\": \"Successfully evokes the 'harmonious urban symphony' vibe through lighting and composition.\", \"reason_2\": \"Fails to establish a mood due to the distraction of technical artifacts and poor visibility.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"While the angle is wrong, the framing itself is balanced and cinematic.\", \"reason_2\": \"The composition is wide but cluttered and lacks a clear focal point due to the blur.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a cinematic and immersive atmosphere that aligns with the 'harmonious urban symphony' description, while Video 2 lacks aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 demonstrates superior visual fidelity, accurately rendering the complex textures of wet pavement, reflections, and pedestrian attire with high realism. While Video 2 adheres better to the 'high vantage point' constraint, it suffers from severe blurring, low resolution, and subject morphing, making the scene visually incoherent compared to the polished, cinematic quality of Video 1.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Perspective (High Vantage Point)", "reason_1": "Video 1 completely ignores the 'high vantage point' instruction, presenting a street-level, eye-level shot.", "reason_2": "Video 2 correctly utilizes an elevated camera angle, looking down on the street as requested.", "score_1": 1, "score_2": 9}, {"name": "Subject Definition (Pedestrians & Attire)", "reason_1": "Video 1 clearly depicts pedestrians in winter coats and scarves with distinct features.", "reason_2": "Video 2 fails to render distinct pedestrians; they appear as amorphous, blurry blobs with no discernible clothing details.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Reflections & Wet Pavement)", "reason_1": "Video 1 renders the wet pavement and shimmering reflections with high realism and texture.", "reason_2": "Video 2 shows wet ground, but the reflections are muddy and lack the 'shimmering' quality described.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Lighting (Golden vs Cool)", "reason_1": "Video 1 captures the specific contrast between the warm shop window glow and the cool evening air effectively.", "reason_2": "Video 2 has a washed-out color palette that fails to capture the vibrant contrast described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Although Video 2 correctly implements the camera angle, Video 1 vastly outperforms it in generating the actual subjects and environmental details requested, such as the pedestrians' attire and the specific lighting effects.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is crisp, clear, and high-resolution, maintaining detail in both foreground and background.", "reason_2": "The video is extremely blurry and low-resolution, resembling a low-quality thumbnail upscale.", "score_1": 9, "score_2": 1}, {"name": "Subject Morphological Stability", "reason_1": "Subjects maintain their shape and form consistently throughout the clip.", "reason_2": "Pedestrians and cars suffer from severe morphing and ghosting artifacts as they move.", "score_1": 9, "score_2": 1}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement of the car and pedestrians is fluid and grounded in realistic physics.", "reason_2": "Motion is jerky and unnatural, with objects appearing to slide or float rather than interact with the ground.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is a high-definition generation with stable subjects, whereas Video 2 suffers from severe blur, low resolution, and significant morphological instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is aesthetically pleasing, with rich colors and a professional look.", "reason_2": "The video is visually unappealing due to excessive blur and lack of detail.", "score_1": 9, "score_2": 1}, {"name": "Mood & Atmosphere (Serene yet Lively)", "reason_1": "Successfully evokes the 'harmonious urban symphony' vibe through lighting and composition.", "reason_2": "Fails to establish a mood due to the distraction of technical artifacts and poor visibility.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "While the angle is wrong, the framing itself is balanced and cinematic.", "reason_2": "The composition is wide but cluttered and lacks a clear focal point due to the blur.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a cinematic and immersive atmosphere that aligns with the 'harmonious urban symphony' description, while Video 2 lacks aesthetic appeal due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 demonstrates superior visual fidelity, accurately rendering the complex textures of wet pavement, reflections, and pedestrian attire with high realism. While Video 2 adheres better to the 'high vantage point' constraint, it suffers from severe blurring, low resolution, and subject morphing, making the scene visually incoherent compared to the polished, cinematic quality of Video 1.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 76.0, "total_score_2": 24.0, "elapsed_sec": 56.238} +{"pair_id": "012_seed_930", "sample_index": 12, "seed": 930, "prompt": "A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_012_seed_930_A stylish model stands confidently in front of a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Presence (Stylish Model)\", \"reason_1\": \"Video 1 completely fails to generate the 'stylish model' requested, showing only a headless jacket on a hanger.\", \"reason_2\": \"Video 2 correctly generates a human model wearing the jacket, fulfilling the primary subject requirement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Attribute Fidelity (Jacket Details)\", \"reason_1\": \"Video 1 accurately renders the 'dark blue' color, 'gleaming metal buttons', and 'distressed/frayed' hem as requested.\", \"reason_2\": \"Video 2 fails on specific attributes; the jacket is a lighter wash rather than 'dark blue', and the buttons appear as flat, white, non-metallic shapes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action & Context (Showcasing/Stance)\", \"reason_1\": \"Video 1 lacks the 'poised stance' and 'showcasing' action, presenting a static product shot instead.\", \"reason_2\": \"Video 2 depicts the model standing and turning, effectively 'showcasing' the fit and design as described.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 wins this category decisively by including the mandatory human subject ('stylish model') and the action of 'showcasing', which Video 1 completely omits.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Resolution & Sharpness\", \"reason_1\": \"Video 1 displays high-definition texture details, clearly showing the denim weave and fraying threads.\", \"reason_2\": \"Video 2 is blurry and lacks fine detail, with the denim texture appearing smoothed out and artificial.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The jacket in Video 1 remains solid and consistent in shape throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe morphing; the buttons change shape and size, and the jacket's structure warps as the model moves.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"Video 1 has very little motion, but what exists is stable and artifact-free.\", \"reason_2\": \"Video 2 attempts complex human motion but results in unnatural warping of the clothing and background.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 is technically superior, offering a sharp, stable, and high-resolution image. Video 2 suffers from significant morphing, blurring, and texture instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement & Intent\", \"reason_1\": \"Video 1 uses a static, wide shot that fails to emphasize the 'intricate details' dynamically.\", \"reason_2\": \"Video 2 utilizes a zoom-in/push-in camera movement that aligns well with the prompt's instruction to 'capture intricate details'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Appeal & Composition\", \"reason_1\": \"Video 1 has a clean, minimalist aesthetic that is visually pleasing, despite missing the subject.\", \"reason_2\": \"Video 2's visual appeal is diminished by the low resolution and distracting morphing artifacts.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Narrative Fulfillment (The Showcase)\", \"reason_1\": \"Video 1 fails to tell the story of a model showcasing a garment.\", \"reason_2\": \"Video 2 successfully conveys the narrative of a fashion presentation through the model's interaction with the camera.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 better captures the intended 'fashion showcase' narrative and camera movement, whereas Video 1 feels like a static product catalog image.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the winner because it successfully adheres to the core subject requirement of the prompt: generating a 'stylish model' wearing the jacket. Video 1, while technically sharper and more stable, completely fails to generate the human subject, presenting only a floating jacket on a hanger. Despite Video 2's lower texture fidelity and morphing artifacts, its semantic completeness regarding the primary subject makes it the superior generation.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A stylish model stands confidently in front of a minimalist backdrop, showcasing a dark blue denim jacket with a classic collar design. The jacket features gleaming metal buttons and two neatly stitched chest pockets, adding a touch of timeless elegance. The hem and cuffs exhibit a fashionable distressed look, with subtle fraying and fading that suggest a well-loved, vintage appeal. The model's poised stance and the jacket's tailored fit highlight its versatility and chic design. The camera captures the intricate details of the denim texture, emphasizing the jacket's unique character and contemporary style.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Presence (Stylish Model)", "reason_1": "Video 1 completely fails to generate the 'stylish model' requested, showing only a headless jacket on a hanger.", "reason_2": "Video 2 correctly generates a human model wearing the jacket, fulfilling the primary subject requirement.", "score_1": 1, "score_2": 9}, {"name": "Attribute Fidelity (Jacket Details)", "reason_1": "Video 1 accurately renders the 'dark blue' color, 'gleaming metal buttons', and 'distressed/frayed' hem as requested.", "reason_2": "Video 2 fails on specific attributes; the jacket is a lighter wash rather than 'dark blue', and the buttons appear as flat, white, non-metallic shapes.", "score_1": 8, "score_2": 2}, {"name": "Action & Context (Showcasing/Stance)", "reason_1": "Video 1 lacks the 'poised stance' and 'showcasing' action, presenting a static product shot instead.", "reason_2": "Video 2 depicts the model standing and turning, effectively 'showcasing' the fit and design as described.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 wins this category decisively by including the mandatory human subject ('stylish model') and the action of 'showcasing', which Video 1 completely omits.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Resolution & Sharpness", "reason_1": "Video 1 displays high-definition texture details, clearly showing the denim weave and fraying threads.", "reason_2": "Video 2 is blurry and lacks fine detail, with the denim texture appearing smoothed out and artificial.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Object Permanence)", "reason_1": "The jacket in Video 1 remains solid and consistent in shape throughout the clip.", "reason_2": "Video 2 exhibits severe morphing; the buttons change shape and size, and the jacket's structure warps as the model moves.", "score_1": 9, "score_2": 1}, {"name": "Motion Naturalness", "reason_1": "Video 1 has very little motion, but what exists is stable and artifact-free.", "reason_2": "Video 2 attempts complex human motion but results in unnatural warping of the clothing and background.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 is technically superior, offering a sharp, stable, and high-resolution image. Video 2 suffers from significant morphing, blurring, and texture instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement & Intent", "reason_1": "Video 1 uses a static, wide shot that fails to emphasize the 'intricate details' dynamically.", "reason_2": "Video 2 utilizes a zoom-in/push-in camera movement that aligns well with the prompt's instruction to 'capture intricate details'.", "score_1": 3, "score_2": 7}, {"name": "Visual Appeal & Composition", "reason_1": "Video 1 has a clean, minimalist aesthetic that is visually pleasing, despite missing the subject.", "reason_2": "Video 2's visual appeal is diminished by the low resolution and distracting morphing artifacts.", "score_1": 6, "score_2": 4}, {"name": "Narrative Fulfillment (The Showcase)", "reason_1": "Video 1 fails to tell the story of a model showcasing a garment.", "reason_2": "Video 2 successfully conveys the narrative of a fashion presentation through the model's interaction with the camera.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 better captures the intended 'fashion showcase' narrative and camera movement, whereas Video 1 feels like a static product catalog image.", "cat_winner": "Video 2"}], "reason": "Video 2 is the winner because it successfully adheres to the core subject requirement of the prompt: generating a 'stylish model' wearing the jacket. Video 1, while technically sharper and more stable, completely fails to generate the human subject, presenting only a floating jacket on a hanger. Despite Video 2's lower texture fidelity and morphing artifacts, its semantic completeness regarding the primary subject makes it the superior generation.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 46.0, "total_score_2": 44.0, "elapsed_sec": 56.142} +{"pair_id": "015_seed_310", "sample_index": 15, "seed": 310, "prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_310_A man in a sleek black suit and polished shoes sta.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_310_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_310_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_310_A man in a sleek black suit and polished shoes sta.mp4", "swapped": true, "success": true, "model_output": "Both videos fail the critical framing constraint of capturing the subject's \"entire form,\" as both are cropped to the waist/thighs. However, Video 2 is the clear winner because it correctly generates the specific environmental context (window with sheer curtains) and the requested action (turning and walking away), whereas Video 1 depicts a static subject in a generic setting.\n\n```json\n{\n \"category\": \"A. Semantic Alignment & Accuracy\",\n \"dims\": [{\"name\": \"Environmental Fidelity (Window & Curtains)\", \"reason_1\": \"Video 1 features a generic wooden wall background, completely missing the 'large window with sheer curtains' specified in the prompt.\", \"reason_2\": \"Video 2 accurately renders a large window with sheer curtains on the left, matching the prompt's description of the setting perfectly.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Sequence Adherence (Turn & Walk)\", \"reason_1\": \"The subject in Video 1 remains largely static, shifting weight but failing to perform the requested 'turn to his left' or 'walk with purpose'.\", \"reason_2\": \"Video 2 depicts the subject turning and walking away from the camera, aligning well with the prompt's instruction to 'walk with purpose'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Framing Completeness\", \"reason_1\": \"Video 1 fails the 'entire form' requirement, cropping the subject at the waist.\", \"reason_2\": \"Video 2 also fails the 'entire form' requirement, cropping the subject at the waist.\", \"score_1\": 5, \"score_2\": 5}],\n{\"category\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Cloth Physics & Texture Rendering\", \"reason_1\": \"The suit fabric in Video 1 appears somewhat stiff and lacks the 'fluid' movement requested.\", \"reason_2\": \"Video 2 renders the suit with a realistic sheen and captures the fluid movement of the fabric as the subject walks.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Lighting Interaction & Sheen\", \"reason_1\": \"The lighting in Video 1 is flat and does not effectively highlight the 'polished' nature of the shoes or the 'sheen' of the suit.\", \"reason_2\": \"Video 2 utilizes the window light to create realistic highlights on the suit and floor, fulfilling the prompt's request for a 'sheen' and 'warm glow'.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion in Video 1 is minimal and feels slightly robotic in its weight shifting.\", \"reason_2\": \"The walking motion in Video 2 is fluid and natural, with appropriate weight transfer.\", \"score_1\": 4, \"score_2\": 6}],\n{\"category\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Warm Glow)\", \"reason_1\": \"Video 1 has neutral, somewhat cold lighting that fails to evoke the 'warm glow' or 'serene space' described.\", \"reason_2\": \"Video 2 successfully establishes a warm, serene atmosphere through the use of natural light filtering through the sheer curtains.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Compositional Balance\", \"reason_1\": \"The composition in Video 1 is a standard center-framed shot with a plain background, lacking visual interest.\", \"reason_2\": \"Video 2 uses the window to balance the frame, creating a more aesthetically pleasing and cinematic composition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 lacks narrative progression; it is essentially a moving portrait.\", \"reason_2\": \"Video 2 implies a narrative of departure or purposeful movement, aligning with the prompt's storytelling elements.\", \"score_1\": 2, \"score_2\": 8}],\n{\"category\": \"D. Dynamic Attribute Rendering\", \"dims\": [{\"name\": \"Fabric Fluidity & Movement\", \"reason_1\": \"The fabric in Video 1 shows very little dynamic movement, appearing rigid.\", \"reason_2\": \"Video 2 captures the 'fluidly' moving fabric of the suit as the subject turns and walks, adding to the realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Source Logic\", \"reason_1\": \"The lighting source in Video 1 is ambiguous and does not interact logically with the subject's movement.\", \"reason_2\": \"Video 2 correctly positions the light source (the window) to the side, creating logical shadows and highlights on the moving subject.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Poise & Confidence\", \"reason_1\": \"The subject in Video 1 looks passive rather than 'confident' or 'poised'.\", \"reason_2\": \"The stride and posture in Video 2 effectively convey the 'confident' and 'purposeful' demeanor requested.\", \"score_1\": 4, \"score_2\": 6}],\n{\"category\": \"E. Spatial & Environmental Coherence\", \"dims\": [{\"name\": \"Background Detail Accuracy\", \"reason_1\": \"Video 1 provides a generic wooden backdrop that does not match the specific 'modern room' description involving a window.\", \"reason_2\": \"Video 2 provides a coherent background that matches the prompt's description of a room with a window and sheer curtains.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Floor Reflection & Polish\", \"reason_1\": \"The floor in Video 1 is visible but lacks the distinct 'polished' quality and reflections implied by the prompt.\", \"reason_2\": \"Video 2 shows reflections on the floor consistent with the window light, enhancing the 'polished wooden floor' aesthetic.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Spatial Depth\", \"reason_1\": \"Video 1 feels flat due to the lack of background depth cues.\", \"reason_2\": \"Video 2 creates a sense of depth with the window in the background and the subject moving into the space.\", \"score_1\": 3, \"score_2\": 7}],\n{\"category\": \"F. Camera & Motion Intent\", \"dims\": [{\"name\": \"Camera Tracking\", \"reason_1\": \"The camera in Video 1 is static, which limits the dynamic feel of the shot.\", \"reason_2\": \"Video 2 features a subtle camera movement that follows the subject's turn, enhancing the cinematic quality.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Intent Clarity\", \"reason_1\": \"The intent of the motion in Video 1 is unclear; it looks like an idle animation.\", \"reason_2\": \"The motion in Video 2 is clear and intentional, matching the 'walk with purpose' instruction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Consistency\", \"reason_1\": \"Video 1 maintains good visual consistency throughout the short clip.\", \"reason_2\": \"Video 2 also maintains good visual consistency despite the more complex motion.\", \"score_1\": 5, \"score_2\": 5}],\n{\"category\": \"G. Overall Prompt Adherence\", \"dims\": [{\"name\": \"Key Element Presence (Window)\", \"reason_1\": \"Video 1 completely misses the key environmental element (the window).\", \"reason_2\": \"Video 2 includes the window, which is central to the prompt's lighting and atmosphere description.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Fidelity (Walking)\", \"reason_1\": \"Video 1 fails to depict the subject walking across the room.\", \"reason_2\": \"Video 2 successfully depicts the subject walking, fulfilling the core action requirement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Accuracy\", \"reason_1\": \"Video 1 lacks the specific 'warm glow' and 'serene' atmosphere.\", \"reason_2\": \"Video 2 captures the 'warm glow' and 'serene' mood effectively through lighting and setting.\", \"score_1\": 3, \"score_2\": 7}],\n{\"category\": \"H. Final Verdict\", \"dims\": [{\"name\": \"Overall Prompt Satisfaction\", \"reason_1\": \"Video 1 fails to meet the majority of the prompt's descriptive requirements regarding setting and action.\", \"reason_2\": \"Video 2 meets the majority of the prompt's requirements, including setting, lighting, and action, despite the framing crop.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Appeal\", \"reason_1\": \"Video 1 is visually generic and lacks artistic merit.\", \"reason_2\": \"Video 2 is visually pleasing with good lighting and composition.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Dynamic Realism\", \"reason_1\": \"Video 1 feels like a static 3D model with minimal animation.\", \"reason_2\": \"Video 2 feels like a realistic video clip of a person moving in a real space.\", \"score_1\": 4, \"score_2\": 6}],\n{\"category\": \"I. Conclusion\", \"reason_1\": \"Video 1 is a static shot that misses the environmental and action cues entirely.\", \"reason_2\": \"Video 2 captures the environment, lighting, and action described in the prompt, making it the superior generation despite the shared framing error.\", \"score_1\": 1, \"score_2\": 9}\n```", "parsed_output": null, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": null, "total_score_2": null, "elapsed_sec": 104.89} +{"pair_id": "018_seed_42", "sample_index": 18, "seed": 42, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_42_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Attire & Props)\", \"reason_1\": \"Video 1 clearly renders the yellow raincoat, red boots, and colorful umbrella with distinct textures and correct colors.\", \"reason_2\": \"Video 2 includes the items, but the umbrella is often cut off by the frame, and the boots lack the distinct 'red' definition seen in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Street & Atmosphere)\", \"reason_1\": \"Video 1 depicts a detailed cobblestone street with visible flower boxes and shop fronts that match the 'quaint' description well.\", \"reason_2\": \"Video 2 shows the street, but the background details are blurrier and less distinct, making the 'vibrant trinkets' harder to discern.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Interaction Logic (Leash & Companionship)\", \"reason_1\": \"The girl holds the leash naturally, and the dog trots beside her in a logical spatial relationship.\", \"reason_2\": \"The leash interaction is physically impossible; the leash appears to merge with the dog's body or float, breaking the semantic logic of 'holding a leash'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts all prompt elements with high clarity, particularly the 'charming' nature of the girl and the specific environmental details. Video 2 struggles with the interaction logic of the leash and the dog's form.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"The girl's face and body proportions remain consistent and recognizable throughout the clip.\", \"reason_2\": \"The girl's face distorts significantly, and her body shape fluctuates unnaturally during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Biological Motion Physics (Gait & Gravity)\", \"reason_1\": \"The walking motion is grounded; feet plant on the ground, and the dog's trot has weight.\", \"reason_2\": \"The subjects exhibit 'moonwalking' or sliding artifacts where feet move without traction, and the dog's legs morph into the ground.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Textures on the raincoat and cobblestones are sharp and well-defined.\", \"reason_2\": \"The video has a pervasive blurriness and lack of fine detail, especially on the dog's fur and the background elements.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid structural integrity, while Video 2 suffers from severe morphing, sliding feet, and low-resolution textures.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Subject Framing\", \"reason_1\": \"The camera keeps the girl and dog well-centered, allowing the viewer to see the full action and expressions.\", \"reason_2\": \"The framing is poor; the top of the colorful umbrella is frequently cut off, and the dog is sometimes awkwardly positioned at the edge of the frame.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Aesthetic Tone (Charming vs. Uncanny)\", \"reason_1\": \"The lighting and color grading successfully evoke the 'charming' and 'heartwarming' mood requested.\", \"reason_2\": \"Due to the facial distortions and jerky motion, the video leans towards the 'uncanny valley,' failing to convey the intended charm.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion Stability\", \"reason_1\": \"The camera tracks backward smoothly, mimicking a professional dolly shot.\", \"reason_2\": \"The camera movement feels slightly jittery and less intentional, distracting from the narrative.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 offers a pleasing, cinematic composition that captures the 'heartwarming' mood. Video 2's poor framing and uncanny visuals detract from the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior temporal stability, anatomical consistency, and visual fidelity. It successfully maintains the structural integrity of the girl and the dog throughout the clip, whereas Video 2 suffers from significant morphing, 'floating' motion artifacts, and poor framing that cuts off key elements like the umbrella.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Attire & Props)", "reason_1": "Video 1 clearly renders the yellow raincoat, red boots, and colorful umbrella with distinct textures and correct colors.", "reason_2": "Video 2 includes the items, but the umbrella is often cut off by the frame, and the boots lack the distinct 'red' definition seen in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Street & Atmosphere)", "reason_1": "Video 1 depicts a detailed cobblestone street with visible flower boxes and shop fronts that match the 'quaint' description well.", "reason_2": "Video 2 shows the street, but the background details are blurrier and less distinct, making the 'vibrant trinkets' harder to discern.", "score_1": 6, "score_2": 4}, {"name": "Interaction Logic (Leash & Companionship)", "reason_1": "The girl holds the leash naturally, and the dog trots beside her in a logical spatial relationship.", "reason_2": "The leash interaction is physically impossible; the leash appears to merge with the dog's body or float, breaking the semantic logic of 'holding a leash'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts all prompt elements with high clarity, particularly the 'charming' nature of the girl and the specific environmental details. Video 2 struggles with the interaction logic of the leash and the dog's form.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "The girl's face and body proportions remain consistent and recognizable throughout the clip.", "reason_2": "The girl's face distorts significantly, and her body shape fluctuates unnaturally during movement.", "score_1": 8, "score_2": 2}, {"name": "Biological Motion Physics (Gait & Gravity)", "reason_1": "The walking motion is grounded; feet plant on the ground, and the dog's trot has weight.", "reason_2": "The subjects exhibit 'moonwalking' or sliding artifacts where feet move without traction, and the dog's legs morph into the ground.", "score_1": 7, "score_2": 3}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Textures on the raincoat and cobblestones are sharp and well-defined.", "reason_2": "The video has a pervasive blurriness and lack of fine detail, especially on the dog's fur and the background elements.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid structural integrity, while Video 2 suffers from severe morphing, sliding feet, and low-resolution textures.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Subject Framing", "reason_1": "The camera keeps the girl and dog well-centered, allowing the viewer to see the full action and expressions.", "reason_2": "The framing is poor; the top of the colorful umbrella is frequently cut off, and the dog is sometimes awkwardly positioned at the edge of the frame.", "score_1": 8, "score_2": 2}, {"name": "Aesthetic Tone (Charming vs. Uncanny)", "reason_1": "The lighting and color grading successfully evoke the 'charming' and 'heartwarming' mood requested.", "reason_2": "Due to the facial distortions and jerky motion, the video leans towards the 'uncanny valley,' failing to convey the intended charm.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion Stability", "reason_1": "The camera tracks backward smoothly, mimicking a professional dolly shot.", "reason_2": "The camera movement feels slightly jittery and less intentional, distracting from the narrative.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 offers a pleasing, cinematic composition that captures the 'heartwarming' mood. Video 2's poor framing and uncanny visuals detract from the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior temporal stability, anatomical consistency, and visual fidelity. It successfully maintains the structural integrity of the girl and the dog throughout the clip, whereas Video 2 suffers from significant morphing, 'floating' motion artifacts, and poor framing that cuts off key elements like the umbrella.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 63.186} +{"pair_id": "020_seed_930", "sample_index": 20, "seed": 930, "prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_020_seed_930_On a rustic wooden bench a fluffy tabby cat with s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Orientation & Gaze Logic\", \"reason_1\": \"Video 1 correctly positions the cat in profile, allowing the viewer to see its face and the 'locked gaze' directed at the bird as requested.\", \"reason_2\": \"Video 2 presents the cat from behind, completely obscuring its face, eyes, and gaze, which is a critical failure for a prompt describing specific facial features and eye contact.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Attribute Fidelity (Cat & Bird)\", \"reason_1\": \"Video 1 renders a realistic tabby cat and a bird that closely resembles a bluebird with natural coloring.\", \"reason_2\": \"Video 2 renders a bird that looks more like a Blue Jay (incorrect species attributes) and the cat's fur texture appears matted and artificial.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Lighting & Setting)\", \"reason_1\": \"Video 1 features natural, dappled sunlight and a convincing garden background.\", \"reason_2\": \"Video 2 has an oversaturated, artificial background that lacks the depth and natural lighting described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the interaction and attributes described, whereas Video 2 fails the fundamental requirement of showing the cat's gaze and facial features.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Realism\", \"reason_1\": \"The fur texture, wood grain, and lighting in Video 1 are indistinguishable from real footage.\", \"reason_2\": \"Video 2 has a 'plastic' or low-quality CGI look; the cat's fur lacks definition and the lighting is flat.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Plausibility\", \"reason_1\": \"The cat in Video 1 has correct proportions and posture.\", \"reason_2\": \"The cat in Video 2 has a somewhat distorted rear anatomy and the tail appears unnaturally thick and stiff.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"Video 1 is very static, but the subtle micro-movements are realistic.\", \"reason_2\": \"Video 2 is also largely static, but the lack of natural weight distribution makes the subjects look like placed objects rather than living creatures.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 achieves high photorealism, while Video 2 suffers from a synthetic, 'video game' aesthetic and anatomical awkwardness.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses a classic profile two-shot that perfectly frames the tension and relationship between the subjects.\", \"reason_2\": \"Video 2 uses an awkward rear angle that blocks the primary subject (the cat) and disconnects the viewer from the narrative.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmosphere & Mood\", \"reason_1\": \"The lighting and color grading in Video 1 successfully evoke the 'serene yet tense' atmosphere.\", \"reason_2\": \"The harsh saturation and artificial look of Video 2 fail to convey the requested peaceful, natural mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Clarity\", \"reason_1\": \"The interaction is immediately clear and engaging.\", \"reason_2\": \"The narrative is lost because the viewer cannot see the cat's reaction or focus.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 utilizes a professional composition that enhances the narrative of the standoff, while Video 2's framing is awkward and unengaging.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it correctly interprets the spatial and anatomical requirements of the prompt, specifically showing the cat's face and gaze locked on the bird. Video 2 fails significantly by positioning the camera behind the cat, obscuring its face, eyes, and gaze entirely, which contradicts the core narrative of the prompt. Additionally, Video 1 demonstrates superior photorealism, whereas Video 2 appears artificial and oversaturated.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "On a rustic wooden bench, a fluffy tabby cat with striking green eyes sits poised, its gaze locked onto a small, vibrant bluebird perched at the opposite end. The cat's ears are perked, and its tail flicks with curiosity, while the bird, with its delicate feathers and bright eyes, tilts its head inquisitively. Sunlight filters through the leaves above, casting dappled shadows on the bench, creating a serene yet tense atmosphere. The gentle rustle of leaves and distant chirping enhance the moment, as both creatures remain still, captivated by each other's presence in this peaceful garden setting.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Orientation & Gaze Logic", "reason_1": "Video 1 correctly positions the cat in profile, allowing the viewer to see its face and the 'locked gaze' directed at the bird as requested.", "reason_2": "Video 2 presents the cat from behind, completely obscuring its face, eyes, and gaze, which is a critical failure for a prompt describing specific facial features and eye contact.", "score_1": 10, "score_2": 0}, {"name": "Attribute Fidelity (Cat & Bird)", "reason_1": "Video 1 renders a realistic tabby cat and a bird that closely resembles a bluebird with natural coloring.", "reason_2": "Video 2 renders a bird that looks more like a Blue Jay (incorrect species attributes) and the cat's fur texture appears matted and artificial.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Lighting & Setting)", "reason_1": "Video 1 features natural, dappled sunlight and a convincing garden background.", "reason_2": "Video 2 has an oversaturated, artificial background that lacks the depth and natural lighting described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the interaction and attributes described, whereas Video 2 fails the fundamental requirement of showing the cat's gaze and facial features.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Realism", "reason_1": "The fur texture, wood grain, and lighting in Video 1 are indistinguishable from real footage.", "reason_2": "Video 2 has a 'plastic' or low-quality CGI look; the cat's fur lacks definition and the lighting is flat.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Plausibility", "reason_1": "The cat in Video 1 has correct proportions and posture.", "reason_2": "The cat in Video 2 has a somewhat distorted rear anatomy and the tail appears unnaturally thick and stiff.", "score_1": 8, "score_2": 2}, {"name": "Motion Naturalness", "reason_1": "Video 1 is very static, but the subtle micro-movements are realistic.", "reason_2": "Video 2 is also largely static, but the lack of natural weight distribution makes the subjects look like placed objects rather than living creatures.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 achieves high photorealism, while Video 2 suffers from a synthetic, 'video game' aesthetic and anatomical awkwardness.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses a classic profile two-shot that perfectly frames the tension and relationship between the subjects.", "reason_2": "Video 2 uses an awkward rear angle that blocks the primary subject (the cat) and disconnects the viewer from the narrative.", "score_1": 9, "score_2": 1}, {"name": "Atmosphere & Mood", "reason_1": "The lighting and color grading in Video 1 successfully evoke the 'serene yet tense' atmosphere.", "reason_2": "The harsh saturation and artificial look of Video 2 fail to convey the requested peaceful, natural mood.", "score_1": 8, "score_2": 2}, {"name": "Narrative Clarity", "reason_1": "The interaction is immediately clear and engaging.", "reason_2": "The narrative is lost because the viewer cannot see the cat's reaction or focus.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 utilizes a professional composition that enhances the narrative of the standoff, while Video 2's framing is awkward and unengaging.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it correctly interprets the spatial and anatomical requirements of the prompt, specifically showing the cat's face and gaze locked on the bird. Video 2 fails significantly by positioning the camera behind the cat, obscuring its face, eyes, and gaze entirely, which contradicts the core narrative of the prompt. Additionally, Video 1 demonstrates superior photorealism, whereas Video 2 appears artificial and oversaturated.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 59.252} +{"pair_id": "023_seed_310", "sample_index": 23, "seed": 310, "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_310_A close-up reveals a lavish spread of Chinese cuis.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_310_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_310_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_310_A close-up reveals a lavish spread of Chinese cuis.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Dish Identification & Distinctness\", \"reason_1\": \"Video 1 clearly renders the fried rice with shrimp, the dumplings, and the chicken dish as separate, identifiable entities.\", \"reason_2\": \"Video 2 struggles to separate the dishes; the fried rice and dumplings appear to morph into one another, and the specific ingredients (pineapple, peppers) are indistinguishable blobs.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Sheen & Texture)\", \"reason_1\": \"The food in Video 1 has realistic textures; the dumplings look doughy and the sauce on the chicken looks glossy and appetizing.\", \"reason_2\": \"The textures in Video 2 are plastic-like and inconsistent, lacking the 'glistening' or 'crispy' attributes requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Table & Ambiance)\", \"reason_1\": \"Video 1 establishes a convincing restaurant setting with a polished table and background diners, matching the 'softly lit' ambiance.\", \"reason_2\": \"Video 2 has a confusing background that shifts rapidly, failing to establish a stable environment.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific dishes described, including the fried rice with shrimp and the dumplings, maintaining their distinct identities. Video 2 fails to clearly distinguish the dishes, often blending them into amorphous shapes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The plates, food, and table remain solid and consistent in shape throughout the video.\", \"reason_2\": \"Video 2 exhibits severe morphing; plates change size, and food items melt and shift shape unnaturally as the camera moves.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high resolution and clear details on the food.\", \"reason_2\": \"The video is blurry, noisy, and suffers from significant compression-like artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Coherence\", \"reason_1\": \"The motion is minimal but stable; the background characters move naturally.\", \"reason_2\": \"The camera motion is jerky and induces warping in the static objects (the table and plates).\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by severe artifacts, warping, and low resolution.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Appetizing Presentation\", \"reason_1\": \"The food looks delicious and inviting, effectively fulfilling the prompt's goal of a 'culinary feast'.\", \"reason_2\": \"The morphing and blurriness make the food look unappealing and messy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing captures the 'lavish spread' well, showing multiple dishes in a balanced arrangement.\", \"reason_2\": \"The framing is erratic, often cutting off dishes or focusing on blurry sections of the table.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"Lighting is warm and consistent, enhancing the colors of the vegetables and sauces.\", \"reason_2\": \"Lighting is flat and inconsistent, with colors washing out during motion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 succeeds in creating an appetizing and inviting visual, whereas Video 2 is visually chaotic and unappealing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every aspect, offering a high-fidelity, photorealistic representation of the prompt with excellent temporal stability. It clearly distinguishes the specific dishes (fried rice, dumplings, chicken) with appetizing textures and accurate lighting. Video 2 suffers from severe morphological instability, low resolution, and significant hallucinations where objects morph into one another, failing to maintain the identity of the food items.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Dish Identification & Distinctness", "reason_1": "Video 1 clearly renders the fried rice with shrimp, the dumplings, and the chicken dish as separate, identifiable entities.", "reason_2": "Video 2 struggles to separate the dishes; the fried rice and dumplings appear to morph into one another, and the specific ingredients (pineapple, peppers) are indistinguishable blobs.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Sheen & Texture)", "reason_1": "The food in Video 1 has realistic textures; the dumplings look doughy and the sauce on the chicken looks glossy and appetizing.", "reason_2": "The textures in Video 2 are plastic-like and inconsistent, lacking the 'glistening' or 'crispy' attributes requested.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Table & Ambiance)", "reason_1": "Video 1 establishes a convincing restaurant setting with a polished table and background diners, matching the 'softly lit' ambiance.", "reason_2": "Video 2 has a confusing background that shifts rapidly, failing to establish a stable environment.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific dishes described, including the fried rice with shrimp and the dumplings, maintaining their distinct identities. Video 2 fails to clearly distinguish the dishes, often blending them into amorphous shapes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The plates, food, and table remain solid and consistent in shape throughout the video.", "reason_2": "Video 2 exhibits severe morphing; plates change size, and food items melt and shift shape unnaturally as the camera moves.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high resolution and clear details on the food.", "reason_2": "The video is blurry, noisy, and suffers from significant compression-like artifacts.", "score_1": 9, "score_2": 1}, {"name": "Motion Coherence", "reason_1": "The motion is minimal but stable; the background characters move naturally.", "reason_2": "The camera motion is jerky and induces warping in the static objects (the table and plates).", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by severe artifacts, warping, and low resolution.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Appetizing Presentation", "reason_1": "The food looks delicious and inviting, effectively fulfilling the prompt's goal of a 'culinary feast'.", "reason_2": "The morphing and blurriness make the food look unappealing and messy.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The framing captures the 'lavish spread' well, showing multiple dishes in a balanced arrangement.", "reason_2": "The framing is erratic, often cutting off dishes or focusing on blurry sections of the table.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Color Harmony", "reason_1": "Lighting is warm and consistent, enhancing the colors of the vegetables and sauces.", "reason_2": "Lighting is flat and inconsistent, with colors washing out during motion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 succeeds in creating an appetizing and inviting visual, whereas Video 2 is visually chaotic and unappealing.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every aspect, offering a high-fidelity, photorealistic representation of the prompt with excellent temporal stability. It clearly distinguishes the specific dishes (fried rice, dumplings, chicken) with appetizing textures and accurate lighting. Video 2 suffers from severe morphological instability, low resolution, and significant hallucinations where objects morph into one another, failing to maintain the identity of the food items.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 55.923} +{"pair_id": "026_seed_42", "sample_index": 26, "seed": 42, "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_42_In a bustling office environment an Asian man in a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Spreadsheets & Stacks)\", \"reason_1\": \"Video 1 clearly displays the requested 'computer screen displaying spreadsheets' in the foreground and realistic stacks of paper.\", \"reason_2\": \"Video 2 shows a generic blue monitor bezel with no visible spreadsheets, and the background clutter is less distinct.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Fingers Tapping)\", \"reason_1\": \"Video 1 explicitly depicts the subject's hand entering the frame and tapping rhythmically on the desk as requested.\", \"reason_2\": \"Video 2 completely ignores the instruction for fingers tapping; the subject's hands remain static or out of frame.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Subject Attributes (Attire & Demographics)\", \"reason_1\": \"Video 1 accurately renders the Asian man in a crisp white shirt and navy tie.\", \"reason_2\": \"Video 2 also accurately renders the Asian man in a crisp white shirt and navy tie.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Camera Movement (Zoom In)\", \"reason_1\": \"Video 1 executes a smooth, cinematic zoom-in that focuses attention on the facial expression.\", \"reason_2\": \"Video 2 has a slight push-in, but it feels less intentional and more like a static shot with minor movement.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures all key semantic elements, including the specific computer screen content and the hand action, which Video 2 misses.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"The skin texture, hair, and paper details in Video 1 are sharp and photorealistic.\", \"reason_2\": \"Video 2 has a slightly 'waxy' or smoothed-over look common in lower-tier generations, lacking fine skin detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Facial Micro-Expression Realism\", \"reason_1\": \"The furrow of the brow and the mouth movement in Video 1 feel organic and reactive to the 'conversation'.\", \"reason_2\": \"The expression in Video 2 is somewhat static and stiff, lacking the subtle shifts described in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting & Depth of Field\", \"reason_1\": \"Video 1 uses depth of field effectively to separate the subject from the busy background, enhancing realism.\", \"reason_2\": \"Video 2 has flatter lighting and less effective separation between the subject and the background.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering, lighting, and motion fluidity compared to the slightly more artificial look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Frustration/Disbelief)\", \"reason_1\": \"The subject in Video 1 conveys a palpable sense of disbelief and frustration that aligns perfectly with the narrative.\", \"reason_2\": \"The subject in Video 2 looks more confused or mildly annoyed, lacking the intensity of 'unfair treatment'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing in Video 1 is balanced, using the foreground monitor to create depth while keeping the face the focal point.\", \"reason_2\": \"Video 2's composition is a bit awkward, with the foreground element (the other person's shoulder) distracting from the main subject.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 captures the progression from listening to the silent protest (tapping), fulfilling the narrative arc.\", \"reason_2\": \"Video 2 feels like a single static moment rather than a progression of events.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 effectively conveys the emotional arc of frustration and silent protest through better acting and composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the specific physical actions requested in the prompt, particularly the 'fingers tapping rhythmically' and the clear visibility of 'spreadsheets' on the screen. Video 2 fails to depict the hand tapping action and lacks the specific screen details. Furthermore, Video 1 exhibits superior cinematic lighting, depth of field, and a more nuanced, realistic facial performance that better captures the requested emotions of disbelief and frustration.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Spreadsheets & Stacks)", "reason_1": "Video 1 clearly displays the requested 'computer screen displaying spreadsheets' in the foreground and realistic stacks of paper.", "reason_2": "Video 2 shows a generic blue monitor bezel with no visible spreadsheets, and the background clutter is less distinct.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Fingers Tapping)", "reason_1": "Video 1 explicitly depicts the subject's hand entering the frame and tapping rhythmically on the desk as requested.", "reason_2": "Video 2 completely ignores the instruction for fingers tapping; the subject's hands remain static or out of frame.", "score_1": 10, "score_2": 0}, {"name": "Subject Attributes (Attire & Demographics)", "reason_1": "Video 1 accurately renders the Asian man in a crisp white shirt and navy tie.", "reason_2": "Video 2 also accurately renders the Asian man in a crisp white shirt and navy tie.", "score_1": 5, "score_2": 5}, {"name": "Camera Movement (Zoom In)", "reason_1": "Video 1 executes a smooth, cinematic zoom-in that focuses attention on the facial expression.", "reason_2": "Video 2 has a slight push-in, but it feels less intentional and more like a static shot with minor movement.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures all key semantic elements, including the specific computer screen content and the hand action, which Video 2 misses.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Rendering", "reason_1": "The skin texture, hair, and paper details in Video 1 are sharp and photorealistic.", "reason_2": "Video 2 has a slightly 'waxy' or smoothed-over look common in lower-tier generations, lacking fine skin detail.", "score_1": 8, "score_2": 2}, {"name": "Facial Micro-Expression Realism", "reason_1": "The furrow of the brow and the mouth movement in Video 1 feel organic and reactive to the 'conversation'.", "reason_2": "The expression in Video 2 is somewhat static and stiff, lacking the subtle shifts described in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Lighting & Depth of Field", "reason_1": "Video 1 uses depth of field effectively to separate the subject from the busy background, enhancing realism.", "reason_2": "Video 2 has flatter lighting and less effective separation between the subject and the background.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior texture rendering, lighting, and motion fluidity compared to the slightly more artificial look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Frustration/Disbelief)", "reason_1": "The subject in Video 1 conveys a palpable sense of disbelief and frustration that aligns perfectly with the narrative.", "reason_2": "The subject in Video 2 looks more confused or mildly annoyed, lacking the intensity of 'unfair treatment'.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing in Video 1 is balanced, using the foreground monitor to create depth while keeping the face the focal point.", "reason_2": "Video 2's composition is a bit awkward, with the foreground element (the other person's shoulder) distracting from the main subject.", "score_1": 7, "score_2": 3}, {"name": "Narrative Progression", "reason_1": "Video 1 captures the progression from listening to the silent protest (tapping), fulfilling the narrative arc.", "reason_2": "Video 2 feels like a single static moment rather than a progression of events.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 effectively conveys the emotional arc of frustration and silent protest through better acting and composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the specific physical actions requested in the prompt, particularly the 'fingers tapping rhythmically' and the clear visibility of 'spreadsheets' on the screen. Video 2 fails to depict the hand tapping action and lacks the specific screen details. Furthermore, Video 1 exhibits superior cinematic lighting, depth of field, and a more nuanced, realistic facial performance that better captures the requested emotions of disbelief and frustration.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 77.0, "total_score_2": 23.0, "elapsed_sec": 60.709} +{"pair_id": "028_seed_930", "sample_index": 28, "seed": 930, "prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_028_seed_930_In a sun-dappled park a lively 10-year-old African.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Age & Attire)\", \"reason_1\": \"Video 1 accurately depicts a 10-year-old girl and a man who appears to be around 40 in a suit. The attributes are distinct and correct.\", \"reason_2\": \"Video 2 fails significantly; the man appears elderly (60+) rather than 40, and his face is heavily distorted. The girl's features are also inconsistent.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Skipping vs. Walking)\", \"reason_1\": \"Video 1 clearly distinguishes the girl's skipping motion from the man's measured walk, fulfilling the 'contrasting gaits' requirement.\", \"reason_2\": \"Video 2 shows both subjects walking with a similar, somewhat stiff gait. The girl's skipping action is lost in the morphing artifacts.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Cherry Blossoms)\", \"reason_1\": \"Video 1 features a clear, vibrant background with distinct cherry blossom trees and greenery as requested.\", \"reason_2\": \"Video 2 has a blurry, generic park background where the specific 'cherry blossom' detail is less distinct and often obscured by artifacts.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 correctly identifies and renders the specific ages and actions described. Video 2 fails to render the man as '40-year-old' (he appears elderly) and fails to depict the 'skipping' action clearly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity Persistence\", \"reason_1\": \"The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'face melting' and morphing, particularly on the man, destroying any sense of realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body Structure)\", \"reason_1\": \"The bodies in Video 1 maintain their volume and shape consistently during movement.\", \"reason_2\": \"The subjects in Video 2 warp and distort significantly; the man's shoulders and the girl's limbs fluctuate in size and shape.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and natural. The skipping motion follows a logical physical arc.\", \"reason_2\": \"The motion is jerky and unnatural, with the subjects appearing to slide or float rather than step.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations, face melting, and temporal flickering.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Composition & Framing\", \"reason_1\": \"Video 1 uses a balanced wide shot that captures both subjects and the environment effectively.\", \"reason_2\": \"Video 2's framing is awkward, often cutting off parts of the subjects or placing them in a confusing spatial relationship.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Sun-dappled/Joyful)\", \"reason_1\": \"The lighting in Video 1 is bright and warm, matching the 'sun-dappled' and 'joyful' description.\", \"reason_2\": \"The lighting in Video 2 is flatter and the visual glitches create an uncanny, disturbing mood rather than a joyful one.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Clarity (Intergenerational Connection)\", \"reason_1\": \"The clear interaction and distinct roles (playful vs. composed) make the narrative of connection clear.\", \"reason_2\": \"The narrative is lost because the subjects look like they are struggling to exist rather than interacting meaningfully.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a cohesive, aesthetically pleasing scene that matches the 'sun-dappled' and 'harmonious' mood. Video 2 is visually disturbing due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It accurately renders the specific ages and actions of the subjects (a young girl skipping, a middle-aged man walking composedly) with high visual fidelity and stability. Video 2 suffers from severe morphological instability, with the man appearing significantly older than requested and his face melting/distorting throughout the clip. Video 1 also captures the environmental details (cherry blossoms) and the specific contrasting gaits much more effectively.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a sun-dappled park, a lively 10-year-old African girl with braided hair and a colorful dress skips energetically beside a composed 40-year-old Japanese man in a tailored suit. Their contrasting gaits are evident as her playful, carefree steps create a rhythmic pattern alongside his measured, deliberate strides. The girl's posture is animated, her arms swinging freely, while the man's posture is upright and reserved, hands clasped behind his back. As they walk along a path lined with cherry blossoms and lush greenery, their differing paces highlight the joyful spontaneity of youth and the calm wisdom of experience, creating a harmonious scene of intergenerational connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Age & Attire)", "reason_1": "Video 1 accurately depicts a 10-year-old girl and a man who appears to be around 40 in a suit. The attributes are distinct and correct.", "reason_2": "Video 2 fails significantly; the man appears elderly (60+) rather than 40, and his face is heavily distorted. The girl's features are also inconsistent.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Skipping vs. Walking)", "reason_1": "Video 1 clearly distinguishes the girl's skipping motion from the man's measured walk, fulfilling the 'contrasting gaits' requirement.", "reason_2": "Video 2 shows both subjects walking with a similar, somewhat stiff gait. The girl's skipping action is lost in the morphing artifacts.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Cherry Blossoms)", "reason_1": "Video 1 features a clear, vibrant background with distinct cherry blossom trees and greenery as requested.", "reason_2": "Video 2 has a blurry, generic park background where the specific 'cherry blossom' detail is less distinct and often obscured by artifacts.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 correctly identifies and renders the specific ages and actions described. Video 2 fails to render the man as '40-year-old' (he appears elderly) and fails to depict the 'skipping' action clearly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity Persistence", "reason_1": "The subjects' faces in Video 1 remain consistent and recognizable throughout the clip.", "reason_2": "Video 2 exhibits severe 'face melting' and morphing, particularly on the man, destroying any sense of realism.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body Structure)", "reason_1": "The bodies in Video 1 maintain their volume and shape consistently during movement.", "reason_2": "The subjects in Video 2 warp and distort significantly; the man's shoulders and the girl's limbs fluctuate in size and shape.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and natural. The skipping motion follows a logical physical arc.", "reason_2": "The motion is jerky and unnatural, with the subjects appearing to slide or float rather than step.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations, face melting, and temporal flickering.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Composition & Framing", "reason_1": "Video 1 uses a balanced wide shot that captures both subjects and the environment effectively.", "reason_2": "Video 2's framing is awkward, often cutting off parts of the subjects or placing them in a confusing spatial relationship.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Sun-dappled/Joyful)", "reason_1": "The lighting in Video 1 is bright and warm, matching the 'sun-dappled' and 'joyful' description.", "reason_2": "The lighting in Video 2 is flatter and the visual glitches create an uncanny, disturbing mood rather than a joyful one.", "score_1": 9, "score_2": 1}, {"name": "Narrative Clarity (Intergenerational Connection)", "reason_1": "The clear interaction and distinct roles (playful vs. composed) make the narrative of connection clear.", "reason_2": "The narrative is lost because the subjects look like they are struggling to exist rather than interacting meaningfully.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a cohesive, aesthetically pleasing scene that matches the 'sun-dappled' and 'harmonious' mood. Video 2 is visually disturbing due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It accurately renders the specific ages and actions of the subjects (a young girl skipping, a middle-aged man walking composedly) with high visual fidelity and stability. Video 2 suffers from severe morphological instability, with the man appearing significantly older than requested and his face melting/distorting throughout the clip. Video 1 also captures the environmental details (cherry blossoms) and the specific contrasting gaits much more effectively.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 75.0, "total_score_2": 15.0, "elapsed_sec": 62.41} +{"pair_id": "031_seed_310", "sample_index": 31, "seed": 310, "prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_310_The camera zooms in on nimble fingers deftly assem.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_310_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_310_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_310_The camera zooms in on nimble fingers deftly assem.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition (Complex Mechanical Model)\", \"reason_1\": \"Video 1 clearly depicts a complex, structured mechanical model with distinct parts (blue panels, gold gears) that resembles a high-end engineering project.\", \"reason_2\": \"Video 2 generates a chaotic cluster of gears that lacks structural logic or a recognizable form, failing to represent a 'model' being assembled.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Deft Assembly)\", \"reason_1\": \"The hands in Video 1 interact with the object in a way that suggests precision and alignment, matching the 'deftly assembling' instruction.\", \"reason_2\": \"The hands in Video 2 merely hold and slightly rotate a static, messy object; there is no sense of assembly or pieces clicking into place.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement (Zoom & Reveal)\", \"reason_1\": \"Video 1 utilizes a close-up framing that mimics the requested 'zoom in' focus on the details, though it misses the final 'pull back' to reveal the whole.\", \"reason_2\": \"Video 2 has a static, flat framing that lacks the cinematic zoom or the dramatic reveal requested in the prompt.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately depicts the core subject—a complex mechanical model—and the action of assembly. Video 2 fails to generate a coherent model, presenting instead a jumbled mass of gears.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Object Morphological Stability\", \"reason_1\": \"The mechanical parts in Video 1 maintain their shape, size, and rigidity throughout the clip, respecting the physics of solid objects.\", \"reason_2\": \"The gears and components in Video 2 constantly morph, melt, and change shape, exhibiting severe temporal incoherence.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Fidelity (Metal & Light)\", \"reason_1\": \"Video 1 renders realistic metallic reflections, paint textures, and lighting interactions, fulfilling the 'gleaming' descriptor.\", \"reason_2\": \"The textures in Video 2 are muddy and indistinct, lacking the material definition of metal or plastic.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Hand-Object Interaction Physics\", \"reason_1\": \"The fingers in Video 1 grasp the object convincingly, with appropriate occlusion and contact points.\", \"reason_2\": \"The hands in Video 2 often clip through the gears or merge with them, lacking physical plausibility.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations where the object's geometry shifts and morphs unrealistically.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 uses a shallow depth of field (blurred background) to focus attention on the intricate work, creating a professional cinematic look.\", \"reason_2\": \"Video 2 is flatly lit against a plain white background with no depth or compositional intent.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmosphere of Expertise\", \"reason_1\": \"The steady camera and focused lighting in Video 1 successfully evoke the mood of 'meticulous craftsmanship' and 'intensity'.\", \"reason_2\": \"The chaotic nature of the object and the flat lighting in Video 2 fail to convey any sense of skill or expertise.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Appeal & Color Harmony\", \"reason_1\": \"The color palette (blue, gold, silver) in Video 1 is harmonious and visually striking.\", \"reason_2\": \"Video 2 uses a random assortment of colors that clash and contribute to the visual confusion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 employs a cinematic style with depth of field that enhances the feeling of focus and expertise. Video 2 looks like a low-quality, flatly lit test render.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in almost every metric. It successfully renders a coherent, complex mechanical model with stable geometry and realistic textures, whereas Video 2 suffers from severe morphological instability, where the 'model' is merely a chaotic cluster of morphing gears. Video 1 also captures the cinematic lighting and depth of field implied by the prompt, creating a sense of focus and expertise that Video 2 lacks.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition (Complex Mechanical Model)", "reason_1": "Video 1 clearly depicts a complex, structured mechanical model with distinct parts (blue panels, gold gears) that resembles a high-end engineering project.", "reason_2": "Video 2 generates a chaotic cluster of gears that lacks structural logic or a recognizable form, failing to represent a 'model' being assembled.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Deft Assembly)", "reason_1": "The hands in Video 1 interact with the object in a way that suggests precision and alignment, matching the 'deftly assembling' instruction.", "reason_2": "The hands in Video 2 merely hold and slightly rotate a static, messy object; there is no sense of assembly or pieces clicking into place.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement (Zoom & Reveal)", "reason_1": "Video 1 utilizes a close-up framing that mimics the requested 'zoom in' focus on the details, though it misses the final 'pull back' to reveal the whole.", "reason_2": "Video 2 has a static, flat framing that lacks the cinematic zoom or the dramatic reveal requested in the prompt.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately depicts the core subject—a complex mechanical model—and the action of assembly. Video 2 fails to generate a coherent model, presenting instead a jumbled mass of gears.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Object Morphological Stability", "reason_1": "The mechanical parts in Video 1 maintain their shape, size, and rigidity throughout the clip, respecting the physics of solid objects.", "reason_2": "The gears and components in Video 2 constantly morph, melt, and change shape, exhibiting severe temporal incoherence.", "score_1": 9, "score_2": 1}, {"name": "Texture Fidelity (Metal & Light)", "reason_1": "Video 1 renders realistic metallic reflections, paint textures, and lighting interactions, fulfilling the 'gleaming' descriptor.", "reason_2": "The textures in Video 2 are muddy and indistinct, lacking the material definition of metal or plastic.", "score_1": 8, "score_2": 2}, {"name": "Hand-Object Interaction Physics", "reason_1": "The fingers in Video 1 grasp the object convincingly, with appropriate occlusion and contact points.", "reason_2": "The hands in Video 2 often clip through the gears or merge with them, lacking physical plausibility.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations where the object's geometry shifts and morphs unrealistically.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 uses a shallow depth of field (blurred background) to focus attention on the intricate work, creating a professional cinematic look.", "reason_2": "Video 2 is flatly lit against a plain white background with no depth or compositional intent.", "score_1": 9, "score_2": 1}, {"name": "Atmosphere of Expertise", "reason_1": "The steady camera and focused lighting in Video 1 successfully evoke the mood of 'meticulous craftsmanship' and 'intensity'.", "reason_2": "The chaotic nature of the object and the flat lighting in Video 2 fail to convey any sense of skill or expertise.", "score_1": 8, "score_2": 2}, {"name": "Visual Appeal & Color Harmony", "reason_1": "The color palette (blue, gold, silver) in Video 1 is harmonious and visually striking.", "reason_2": "Video 2 uses a random assortment of colors that clash and contribute to the visual confusion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 employs a cinematic style with depth of field that enhances the feeling of focus and expertise. Video 2 looks like a low-quality, flatly lit test render.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in almost every metric. It successfully renders a coherent, complex mechanical model with stable geometry and realistic textures, whereas Video 2 suffers from severe morphological instability, where the 'model' is merely a chaotic cluster of morphing gears. Video 1 also captures the cinematic lighting and depth of field implied by the prompt, creating a sense of focus and expertise that Video 2 lacks.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 59.28} +{"pair_id": "034_seed_42", "sample_index": 34, "seed": 42, "prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_42_A vibrant group of Caribbean dancers adorned in da.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Costume Attribute Fidelity (Colors & Materials)\", \"reason_1\": \"Video 1 perfectly renders the requested 'turquoise, magenta, and gold' hues with distinct, high-quality feather textures.\", \"reason_2\": \"Video 2 presents a muddier color palette where the specific hues are less distinct, and the feather textures appear blended and artificial.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Expression & Emotional Tone\", \"reason_1\": \"The dancers in Video 1 display clear, joyous smiles that align perfectly with the 'infectious' energy requested.\", \"reason_2\": \"The expressions in Video 2 are heavily distorted and morphing, creating an uncanny valley effect rather than joy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Specificity (Rhythmic Sway)\", \"reason_1\": \"Video 1 captures the 'rhythmic sway of hips' with natural fluidity and correct anatomical movement.\", \"reason_2\": \"Video 2 attempts the motion but results in jerky, unnatural movements where the body parts move independently of the skeleton.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the specific color palette and costume details requested, whereas Video 2 struggles with color separation and costume definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"The subjects in Video 1 maintain consistent body shapes and facial features throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe anatomical failure; faces melt, and limbs distort significantly during movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Physics (Feather Dynamics)\", \"reason_1\": \"The large feather headdresses in Video 1 move with realistic inertia and air resistance, fluttering naturally.\", \"reason_2\": \"The feathers in Video 2 behave like liquid or smoke, morphing into the background or the dancers' skin.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp, sharp, and detailed, resembling high-definition footage.\", \"reason_2\": \"Video 2 is blurry, noisy, and lacks fine detail, resembling a low-resolution generation.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by severe artifacts and temporal inconsistency.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is aesthetically pleasing, vibrant, and looks like a professional broadcast clip.\", \"reason_2\": \"The visual experience is marred by constant glitching and distortion, making it unpleasant to watch.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"Video 1 effectively simulates 'bright sunlight' with realistic highlights on the sequins and skin.\", \"reason_2\": \"The lighting in Video 2 is flat and inconsistent, failing to capture the shimmering effect described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"The camera in Video 1 tracks the dancers smoothly, keeping the action centered and clear.\", \"reason_2\": \"The framing in Video 2 is erratic, and the camera movement feels disconnected from the subjects' motion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a visually pleasing and coherent viewing experience, while Video 2 is distracting due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in technical execution, semantic accuracy, and aesthetic appeal. It delivers high-fidelity visuals with stable anatomy, realistic feather physics, and accurate color representation (turquoise, magenta, gold). Video 2 suffers from severe morphological instability, with melting faces, distorted limbs, and low-resolution textures that fail to capture the realism or the specific details of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Costume Attribute Fidelity (Colors & Materials)", "reason_1": "Video 1 perfectly renders the requested 'turquoise, magenta, and gold' hues with distinct, high-quality feather textures.", "reason_2": "Video 2 presents a muddier color palette where the specific hues are less distinct, and the feather textures appear blended and artificial.", "score_1": 9, "score_2": 1}, {"name": "Expression & Emotional Tone", "reason_1": "The dancers in Video 1 display clear, joyous smiles that align perfectly with the 'infectious' energy requested.", "reason_2": "The expressions in Video 2 are heavily distorted and morphing, creating an uncanny valley effect rather than joy.", "score_1": 8, "score_2": 2}, {"name": "Action Specificity (Rhythmic Sway)", "reason_1": "Video 1 captures the 'rhythmic sway of hips' with natural fluidity and correct anatomical movement.", "reason_2": "Video 2 attempts the motion but results in jerky, unnatural movements where the body parts move independently of the skeleton.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the specific color palette and costume details requested, whereas Video 2 struggles with color separation and costume definition.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "The subjects in Video 1 maintain consistent body shapes and facial features throughout the clip.", "reason_2": "Video 2 exhibits severe anatomical failure; faces melt, and limbs distort significantly during movement.", "score_1": 9, "score_2": 1}, {"name": "Object Physics (Feather Dynamics)", "reason_1": "The large feather headdresses in Video 1 move with realistic inertia and air resistance, fluttering naturally.", "reason_2": "The feathers in Video 2 behave like liquid or smoke, morphing into the background or the dancers' skin.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp, sharp, and detailed, resembling high-definition footage.", "reason_2": "Video 2 is blurry, noisy, and lacks fine detail, resembling a low-resolution generation.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by severe artifacts and temporal inconsistency.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Overall Visual Appeal", "reason_1": "The video is aesthetically pleasing, vibrant, and looks like a professional broadcast clip.", "reason_2": "The visual experience is marred by constant glitching and distortion, making it unpleasant to watch.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Atmosphere", "reason_1": "Video 1 effectively simulates 'bright sunlight' with realistic highlights on the sequins and skin.", "reason_2": "The lighting in Video 2 is flat and inconsistent, failing to capture the shimmering effect described.", "score_1": 8, "score_2": 2}, {"name": "Camera Motion & Framing", "reason_1": "The camera in Video 1 tracks the dancers smoothly, keeping the action centered and clear.", "reason_2": "The framing in Video 2 is erratic, and the camera movement feels disconnected from the subjects' motion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a visually pleasing and coherent viewing experience, while Video 2 is distracting due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in technical execution, semantic accuracy, and aesthetic appeal. It delivers high-fidelity visuals with stable anatomy, realistic feather physics, and accurate color representation (turquoise, magenta, gold). Video 2 suffers from severe morphological instability, with melting faces, distorted limbs, and low-resolution textures that fail to capture the realism or the specific details of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 54.963} +{"pair_id": "036_seed_930", "sample_index": 36, "seed": 930, "prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_036_seed_930_A majestic Maasai warrior stands tall on the sunli.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Anatomical Logic (Face & Head)\", \"reason_1\": \"Video 1 suffers from a severe hallucination where the subject's face is melted and distorted, completely failing to render a human visage.\", \"reason_2\": \"Video 2 renders a perfectly structured, realistic human face with clear features.\", \"score_1\": 0, \"score_2\": 10}, {\"name\": \"Attribute Fidelity (Jewelry & Shuka)\", \"reason_1\": \"While the colors are present, the jewelry in Video 1 is blurry and lacks the 'intricate details' requested by the prompt.\", \"reason_2\": \"The beaded jewelry in Video 2 is sharp, distinct, and intricate, matching the prompt's request for detail.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Savannah & Sky)\", \"reason_1\": \"Video 1 depicts the environment, but the background trees and grass appear slightly more artificial and less integrated with the lighting.\", \"reason_2\": \"Video 2 depicts a realistic, vast savannah with natural lighting and depth.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately renders the human subject with the requested attributes. Video 1 fails the most critical semantic requirement: rendering a recognizable human face.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The subject's face in Video 1 morphs and melts significantly as the video progresses, breaking all immersion.\", \"reason_2\": \"The subject in Video 2 remains solid and consistent throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video has a 'smoothed over' AI look, lacking high-frequency texture details on the skin and clothing.\", \"reason_2\": \"Skin texture, fabric weave, and bead surfaces are rendered with high definition and realism.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion is fluid but results in warping artifacts, making the movement feel unnatural and dream-like in a negative way.\", \"reason_2\": \"The motion is minimal (mostly breathing and subtle head movement), but it is physically plausible and realistic.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 maintains high visual fidelity and stability. Video 1 exhibits severe morphological instability (warping) and lower texture resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Expression (Pride & Resilience)\", \"reason_1\": \"It is impossible to read any expression from the distorted, featureless face in Video 1.\", \"reason_2\": \"The subject's gaze and posture in Video 2 effectively convey the requested pride and resilience.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is destroyed by the grotesque facial artifacting.\", \"reason_2\": \"The image is aesthetically pleasing, well-lit, and looks like professional footage.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is acceptable, but the subject feels slightly less grounded in the environment compared to Video 2.\", \"reason_2\": \"The framing places the subject well against the horizon, emphasizing the 'standing tall' aspect.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 succeeds in conveying the mood of 'pride and resilience' through a clear expression. Video 1 fails aesthetically due to the horror-like distortion of the subject.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior anatomical integrity and photorealistic rendering. It successfully depicts a human face with the requested expression of pride and detailed jewelry. Video 1, while capturing the general color palette and setting, suffers from a catastrophic failure in generating the subject's face, resulting in a distorted, melted visage that completely undermines the realism and emotional intent of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A majestic Maasai warrior stands tall on the sunlit savannah, his vibrant red shuka draped elegantly over his shoulder, contrasting with the golden grasses. In his hand, he holds a finely crafted spear, symbolizing strength and tradition. The camera captures the intricate details of his beaded jewelry, each piece telling a story of heritage and identity, with colorful beads forming patterns around his neck and wrists. His expression is one of pride and resilience, eyes scanning the horizon. Behind him, the vast landscape stretches endlessly, dotted with acacia trees under a brilliant blue sky, embodying the timeless beauty of the African plains.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Anatomical Logic (Face & Head)", "reason_1": "Video 1 suffers from a severe hallucination where the subject's face is melted and distorted, completely failing to render a human visage.", "reason_2": "Video 2 renders a perfectly structured, realistic human face with clear features.", "score_1": 0, "score_2": 10}, {"name": "Attribute Fidelity (Jewelry & Shuka)", "reason_1": "While the colors are present, the jewelry in Video 1 is blurry and lacks the 'intricate details' requested by the prompt.", "reason_2": "The beaded jewelry in Video 2 is sharp, distinct, and intricate, matching the prompt's request for detail.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Savannah & Sky)", "reason_1": "Video 1 depicts the environment, but the background trees and grass appear slightly more artificial and less integrated with the lighting.", "reason_2": "Video 2 depicts a realistic, vast savannah with natural lighting and depth.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately renders the human subject with the requested attributes. Video 1 fails the most critical semantic requirement: rendering a recognizable human face.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The subject's face in Video 1 morphs and melts significantly as the video progresses, breaking all immersion.", "reason_2": "The subject in Video 2 remains solid and consistent throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video has a 'smoothed over' AI look, lacking high-frequency texture details on the skin and clothing.", "reason_2": "Skin texture, fabric weave, and bead surfaces are rendered with high definition and realism.", "score_1": 2, "score_2": 8}, {"name": "Motion Naturalness", "reason_1": "The motion is fluid but results in warping artifacts, making the movement feel unnatural and dream-like in a negative way.", "reason_2": "The motion is minimal (mostly breathing and subtle head movement), but it is physically plausible and realistic.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 maintains high visual fidelity and stability. Video 1 exhibits severe morphological instability (warping) and lower texture resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Expression (Pride & Resilience)", "reason_1": "It is impossible to read any expression from the distorted, featureless face in Video 1.", "reason_2": "The subject's gaze and posture in Video 2 effectively convey the requested pride and resilience.", "score_1": 1, "score_2": 9}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is destroyed by the grotesque facial artifacting.", "reason_2": "The image is aesthetically pleasing, well-lit, and looks like professional footage.", "score_1": 1, "score_2": 9}, {"name": "Composition & Framing", "reason_1": "The framing is acceptable, but the subject feels slightly less grounded in the environment compared to Video 2.", "reason_2": "The framing places the subject well against the horizon, emphasizing the 'standing tall' aspect.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 succeeds in conveying the mood of 'pride and resilience' through a clear expression. Video 1 fails aesthetically due to the horror-like distortion of the subject.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior anatomical integrity and photorealistic rendering. It successfully depicts a human face with the requested expression of pride and detailed jewelry. Video 1, while capturing the general color palette and setting, suffers from a catastrophic failure in generating the subject's face, resulting in a distorted, melted visage that completely undermines the realism and emotional intent of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 69.589} +{"pair_id": "039_seed_310", "sample_index": 39, "seed": 310, "prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_310_A warm inviting scene unfolds as a Latin American.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_310_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_310_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_310_A warm inviting scene unfolds as a Latin American.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Cultural Specificity (Textiles & Cuisine)\", \"reason_1\": \"Video 1 perfectly renders the 'vibrant, handwoven textiles' on the wall and table, and the food (tamales, stew) looks authentic and appetizing.\", \"reason_2\": \"Video 2 lacks the specific handwoven wall decor and the food items appear generic and plastic, missing the specific cultural cues requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Interaction & Action Logic\", \"reason_1\": \"The family in Video 1 engages in natural conversation and laughter. The grandmother is clearly present and active.\", \"reason_2\": \"While the family is present, the interactions are marred by glitchy motion, and the specific action of 'reaching for guacamole' is less distinct than the general chaos of movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Lighting (Warmth & Candlelight)\", \"reason_1\": \"Video 1 captures the 'warm glow' and 'cozy atmosphere' effectively with rich, warm tones.\", \"reason_2\": \"Video 2 has flatter, cooler lighting that fails to evoke the 'warm, inviting' mood described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the specific cultural elements requested, such as the handwoven wall textiles and the specific food items, whereas Video 2 feels more generic and lacks the specific environmental details.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The faces in Video 1 remain consistent and recognizable throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and morphing of faces, particularly the woman on the right and the children, destroying realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity (Hands & Limbs)\", \"reason_1\": \"Hands and gestures in Video 1 are mostly logical and well-formed.\", \"reason_2\": \"Video 2 displays significant anatomical errors, with hands merging into food or distorting unnaturally during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"Textures of the food, clothing, and skin are sharp and realistic.\", \"reason_2\": \"The image quality is softer, and textures (like the food) look smooth and artificial.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the most significant differentiator. Video 1 is stable and clear, while Video 2 suffers from severe hallucinations, morphing faces, and anatomical errors.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity & Mood\", \"reason_1\": \"The expressions of joy and laughter feel genuine and contagious, matching the 'animated conversation' prompt.\", \"reason_2\": \"The emotional impact is negative due to the uncanny valley effect caused by the facial distortions.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Visual Balance\", \"reason_1\": \"The framing includes the family, the food, and the cultural background elements in a balanced way.\", \"reason_2\": \"The composition is somewhat cluttered, and the focus shifts awkwardly without a clear narrative intent.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are vibrant and harmonious, reflecting the 'colorful array' and 'casual, colorful attire' requested.\", \"reason_2\": \"The color palette is duller and less cohesive compared to the vibrant aesthetic of Video 1.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a cohesive, aesthetically pleasing scene that feels like a genuine family memory, whereas Video 2 is visually disturbing due to the artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in almost every metric. It delivers a highly stable, culturally rich, and visually coherent scene that closely matches the prompt's description of a warm family gathering with specific traditional elements (handwoven textiles, specific dishes). Video 2, while attempting the scene, suffers from severe morphological instability, with faces and hands melting and distorting significantly, which breaks the immersion and realism entirely.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Cultural Specificity (Textiles & Cuisine)", "reason_1": "Video 1 perfectly renders the 'vibrant, handwoven textiles' on the wall and table, and the food (tamales, stew) looks authentic and appetizing.", "reason_2": "Video 2 lacks the specific handwoven wall decor and the food items appear generic and plastic, missing the specific cultural cues requested.", "score_1": 9, "score_2": 1}, {"name": "Subject Interaction & Action Logic", "reason_1": "The family in Video 1 engages in natural conversation and laughter. The grandmother is clearly present and active.", "reason_2": "While the family is present, the interactions are marred by glitchy motion, and the specific action of 'reaching for guacamole' is less distinct than the general chaos of movement.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Lighting (Warmth & Candlelight)", "reason_1": "Video 1 captures the 'warm glow' and 'cozy atmosphere' effectively with rich, warm tones.", "reason_2": "Video 2 has flatter, cooler lighting that fails to evoke the 'warm, inviting' mood described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the specific cultural elements requested, such as the handwoven wall textiles and the specific food items, whereas Video 2 feels more generic and lacks the specific environmental details.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The faces in Video 1 remain consistent and recognizable throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and morphing of faces, particularly the woman on the right and the children, destroying realism.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity (Hands & Limbs)", "reason_1": "Hands and gestures in Video 1 are mostly logical and well-formed.", "reason_2": "Video 2 displays significant anatomical errors, with hands merging into food or distorting unnaturally during movement.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "Textures of the food, clothing, and skin are sharp and realistic.", "reason_2": "The image quality is softer, and textures (like the food) look smooth and artificial.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the most significant differentiator. Video 1 is stable and clear, while Video 2 suffers from severe hallucinations, morphing faces, and anatomical errors.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity & Mood", "reason_1": "The expressions of joy and laughter feel genuine and contagious, matching the 'animated conversation' prompt.", "reason_2": "The emotional impact is negative due to the uncanny valley effect caused by the facial distortions.", "score_1": 9, "score_2": 1}, {"name": "Composition & Visual Balance", "reason_1": "The framing includes the family, the food, and the cultural background elements in a balanced way.", "reason_2": "The composition is somewhat cluttered, and the focus shifts awkwardly without a clear narrative intent.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are vibrant and harmonious, reflecting the 'colorful array' and 'casual, colorful attire' requested.", "reason_2": "The color palette is duller and less cohesive compared to the vibrant aesthetic of Video 1.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a cohesive, aesthetically pleasing scene that feels like a genuine family memory, whereas Video 2 is visually disturbing due to the artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in almost every metric. It delivers a highly stable, culturally rich, and visually coherent scene that closely matches the prompt's description of a warm family gathering with specific traditional elements (handwoven textiles, specific dishes). Video 2, while attempting the scene, suffers from severe morphological instability, with faces and hands melting and distorting significantly, which breaks the immersion and realism entirely.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 58.199} +{"pair_id": "042_seed_42", "sample_index": 42, "seed": 42, "prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_42_A distinguished East Asian man with short black ha.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_42_A distinguished East Asian man with short black ha.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_42_A distinguished East Asian man with short black ha.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_42_A distinguished East Asian man with short black ha.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attire Fidelity (Suit & Shirt)\", \"reason_1\": \"Video 1 perfectly renders the 'tailored charcoal suit' and 'crisp white shirt' with a clean, professional look.\", \"reason_2\": \"Video 2 includes a prominent blue lanyard or ID badge around the neck, which was not requested and contradicts the 'distinguished' and 'tailored' aesthetic.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Facial Feature Nuance (Jawline & Lips)\", \"reason_1\": \"Video 1 distinctly highlights the 'sharpness of his jawline' and the 'gentle curve of his lips' as requested, creating a strong profile.\", \"reason_2\": \"Video 2 presents a softer, rounder facial structure that lacks the specific 'sharpness' and definition requested in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression of Thoughtfulness\", \"reason_1\": \"The subject in Video 1 displays a subtle, contemplative gaze that perfectly matches the description of 'depth of thoughtfulness'.\", \"reason_2\": \"The subject in Video 2 has a more neutral, blank stare that lacks the specific emotional depth or 'assurance' described.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 strictly adheres to the attire and physical description, whereas Video 2 introduces an unprompted accessory that alters the character's persona.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Photorealism\", \"reason_1\": \"Video 1 renders skin pores, wrinkles, and lighting interactions with high-fidelity realism.\", \"reason_2\": \"Video 2 has a smoother, slightly 'waxy' or plastic appearance common in lower-tier AI generations, lacking organic texture.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Micro-Motion Naturalness\", \"reason_1\": \"The subtle head tilt and eye movement in Video 1 feel organic and human.\", \"reason_2\": \"Video 2 is extremely static, resembling a still image with minimal animation, lacking dynamic life.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting Interaction\", \"reason_1\": \"The lighting in Video 1 realistically interacts with the glasses and facial contours, creating depth.\", \"reason_2\": \"The lighting in Video 2 is flatter and less dynamic, resulting in a less three-dimensional look.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 exhibits superior photorealism, particularly in skin texture and lighting interaction, while Video 2 appears slightly more artificial.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmosphere of Dignity\", \"reason_1\": \"The combination of the suit, the serious expression, and the lighting in Video 1 successfully evokes a 'distinguished' and 'composed' atmosphere.\", \"reason_2\": \"The presence of the lanyard and the softer features in Video 2 make the subject look more like a corporate employee than a distinguished figure.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 uses a tighter, more intimate framing that effectively draws attention to the 'nuances of his facial features'.\", \"reason_2\": \"Video 2 uses a standard medium shot that feels less intentional and less focused on the specific facial details requested.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Gaze Intensity & Warmth\", \"reason_1\": \"The eyes in Video 1 feel alive and engaging, conveying the 'intensity and warmth' mentioned in the prompt.\", \"reason_2\": \"The gaze in Video 2 is somewhat vacant and fails to establish a connection with the viewer.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the 'distinguished' and 'cinematic' tone of the prompt much better than the corporate/office vibe of Video 2.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it perfectly captures the 'distinguished' and 'tailored' aesthetic requested, featuring a subject with a sharp jawline and a clean, professional look. Video 2 fails significantly in semantic alignment by including a blue lanyard/ID badge, which contradicts the 'distinguished' persona, and lacks the specific facial definition and lighting nuance present in Video 1.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attire Fidelity (Suit & Shirt)", "reason_1": "Video 1 perfectly renders the 'tailored charcoal suit' and 'crisp white shirt' with a clean, professional look.", "reason_2": "Video 2 includes a prominent blue lanyard or ID badge around the neck, which was not requested and contradicts the 'distinguished' and 'tailored' aesthetic.", "score_1": 9, "score_2": 1}, {"name": "Facial Feature Nuance (Jawline & Lips)", "reason_1": "Video 1 distinctly highlights the 'sharpness of his jawline' and the 'gentle curve of his lips' as requested, creating a strong profile.", "reason_2": "Video 2 presents a softer, rounder facial structure that lacks the specific 'sharpness' and definition requested in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Expression of Thoughtfulness", "reason_1": "The subject in Video 1 displays a subtle, contemplative gaze that perfectly matches the description of 'depth of thoughtfulness'.", "reason_2": "The subject in Video 2 has a more neutral, blank stare that lacks the specific emotional depth or 'assurance' described.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 strictly adheres to the attire and physical description, whereas Video 2 introduces an unprompted accessory that alters the character's persona.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Photorealism", "reason_1": "Video 1 renders skin pores, wrinkles, and lighting interactions with high-fidelity realism.", "reason_2": "Video 2 has a smoother, slightly 'waxy' or plastic appearance common in lower-tier AI generations, lacking organic texture.", "score_1": 8, "score_2": 2}, {"name": "Micro-Motion Naturalness", "reason_1": "The subtle head tilt and eye movement in Video 1 feel organic and human.", "reason_2": "Video 2 is extremely static, resembling a still image with minimal animation, lacking dynamic life.", "score_1": 7, "score_2": 3}, {"name": "Lighting Interaction", "reason_1": "The lighting in Video 1 realistically interacts with the glasses and facial contours, creating depth.", "reason_2": "The lighting in Video 2 is flatter and less dynamic, resulting in a less three-dimensional look.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 exhibits superior photorealism, particularly in skin texture and lighting interaction, while Video 2 appears slightly more artificial.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmosphere of Dignity", "reason_1": "The combination of the suit, the serious expression, and the lighting in Video 1 successfully evokes a 'distinguished' and 'composed' atmosphere.", "reason_2": "The presence of the lanyard and the softer features in Video 2 make the subject look more like a corporate employee than a distinguished figure.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 uses a tighter, more intimate framing that effectively draws attention to the 'nuances of his facial features'.", "reason_2": "Video 2 uses a standard medium shot that feels less intentional and less focused on the specific facial details requested.", "score_1": 7, "score_2": 3}, {"name": "Gaze Intensity & Warmth", "reason_1": "The eyes in Video 1 feel alive and engaging, conveying the 'intensity and warmth' mentioned in the prompt.", "reason_2": "The gaze in Video 2 is somewhat vacant and fails to establish a connection with the viewer.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the 'distinguished' and 'cinematic' tone of the prompt much better than the corporate/office vibe of Video 2.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it perfectly captures the 'distinguished' and 'tailored' aesthetic requested, featuring a subject with a sharp jawline and a clean, professional look. Video 2 fails significantly in semantic alignment by including a blue lanyard/ID badge, which contradicts the 'distinguished' persona, and lacks the specific facial definition and lighting nuance present in Video 1.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 58.302} +{"pair_id": "044_seed_930", "sample_index": 44, "seed": 930, "prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_044_seed_930_A close-up shot captures a persons face initially.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Expression Transition (Joy to Contemplation)\", \"reason_1\": \"Video 1 maintains a static, high-energy smile throughout the entire clip, completely failing to depict the smile fading or the expression turning to contemplation.\", \"reason_2\": \"Video 2 perfectly captures the prompt's instruction: the subject starts with a smile, which gradually fades, the mouth corners drop, and the expression shifts to a somber, contemplative look.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Temperature Shift (Warm to Cool)\", \"reason_1\": \"Video 1 exhibits erratic lighting changes with random flashes of green and blue, which appear as artifacts rather than a deliberate atmospheric shift.\", \"reason_2\": \"Video 2 executes a smooth, cinematic transition from warm, golden lighting to a cooler, bluish tone, exactly as requested to emphasize the mood change.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Micro-Expression Fidelity (Muscle Play)\", \"reason_1\": \"Video 1 shows a fixed expression with little variation in facial muscle dynamics.\", \"reason_2\": \"Video 2 showcases the 'intricate play of facial muscles' mentioned in the prompt, specifically the relaxation of the cheek muscles and the subtle downturn of the lips.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the prompt's narrative arc perfectly, transitioning from a smile to a contemplative look with the correct lighting shift. Video 1 failed to change the expression or the lighting meaningfully.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Skin Texture & Detail Rendering\", \"reason_1\": \"The skin texture in Video 1 appears somewhat smoothed and plastic, lacking the high-frequency detail seen in the other video.\", \"reason_2\": \"Video 2 renders skin pores, imperfections, and lighting interactions with high fidelity, creating a more photorealistic appearance.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Temporal Stability (Lighting Consistency)\", \"reason_1\": \"Video 1 suffers from distracting temporal instability, with the background and lighting flashing colors (green/blue) randomly.\", \"reason_2\": \"Video 2 maintains a stable image with a smooth, continuous evolution of lighting and color temperature.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The motion in Video 1 is minimal and feels slightly stiff, lacking the subtle head movements associated with a natural portrait.\", \"reason_2\": \"Video 2 includes natural head movements and blinking that accompany the change in expression, enhancing the realism.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 demonstrates superior texture rendering and temporal stability. Video 1 suffers from significant lighting flicker and lower textural detail.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"Video 1 fails to evoke the requested emotional shift, remaining stuck in a single, unchanging emotional state.\", \"reason_2\": \"Video 2 effectively conveys the transition from happiness to a more serious, pensive mood, creating a strong emotional narrative.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Lighting Execution\", \"reason_1\": \"The lighting in Video 1 is harsh and inconsistent, detracting from the aesthetic appeal.\", \"reason_2\": \"Video 2 uses the lighting change artistically to support the narrative, creating a visually pleasing and coherent aesthetic.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Framing & Composition\", \"reason_1\": \"Video 1 uses a very tight crop that cuts off parts of the face, which is acceptable but less balanced.\", \"reason_2\": \"Video 2 uses a standard close-up framing that allows for better visibility of the facial features and the lighting effects.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 successfully tells the micro-story of changing emotions through visual cues, whereas Video 1 lacks narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the complex temporal and emotional transition required by the prompt. It successfully shifts the lighting from warm to cool and depicts the subject's expression fading from a smile to a contemplative look. Video 1 fails to execute the narrative arc, maintaining a static smile throughout and suffering from erratic, artifact-heavy lighting changes.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A close-up shot captures a person's face, initially illuminated by a warm, gentle light, as they exhibit a genuine, radiant smile. The camera meticulously records the subtle crinkles around their eyes and the upward curve of their lips. Gradually, the smile fades, and the lighting subtly shifts to a cooler tone, emphasizing the transition. The person's eyes lose their sparkle, and their lips slowly turn downward, showcasing the intricate play of facial muscles. The camera lingers on the transformation, highlighting the delicate shifts in expression, from joy to contemplation, within the span of a few seconds.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Expression Transition (Joy to Contemplation)", "reason_1": "Video 1 maintains a static, high-energy smile throughout the entire clip, completely failing to depict the smile fading or the expression turning to contemplation.", "reason_2": "Video 2 perfectly captures the prompt's instruction: the subject starts with a smile, which gradually fades, the mouth corners drop, and the expression shifts to a somber, contemplative look.", "score_1": 1, "score_2": 9}, {"name": "Lighting Temperature Shift (Warm to Cool)", "reason_1": "Video 1 exhibits erratic lighting changes with random flashes of green and blue, which appear as artifacts rather than a deliberate atmospheric shift.", "reason_2": "Video 2 executes a smooth, cinematic transition from warm, golden lighting to a cooler, bluish tone, exactly as requested to emphasize the mood change.", "score_1": 2, "score_2": 8}, {"name": "Micro-Expression Fidelity (Muscle Play)", "reason_1": "Video 1 shows a fixed expression with little variation in facial muscle dynamics.", "reason_2": "Video 2 showcases the 'intricate play of facial muscles' mentioned in the prompt, specifically the relaxation of the cheek muscles and the subtle downturn of the lips.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the prompt's narrative arc perfectly, transitioning from a smile to a contemplative look with the correct lighting shift. Video 1 failed to change the expression or the lighting meaningfully.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Skin Texture & Detail Rendering", "reason_1": "The skin texture in Video 1 appears somewhat smoothed and plastic, lacking the high-frequency detail seen in the other video.", "reason_2": "Video 2 renders skin pores, imperfections, and lighting interactions with high fidelity, creating a more photorealistic appearance.", "score_1": 4, "score_2": 6}, {"name": "Temporal Stability (Lighting Consistency)", "reason_1": "Video 1 suffers from distracting temporal instability, with the background and lighting flashing colors (green/blue) randomly.", "reason_2": "Video 2 maintains a stable image with a smooth, continuous evolution of lighting and color temperature.", "score_1": 2, "score_2": 8}, {"name": "Motion Naturalness", "reason_1": "The motion in Video 1 is minimal and feels slightly stiff, lacking the subtle head movements associated with a natural portrait.", "reason_2": "Video 2 includes natural head movements and blinking that accompany the change in expression, enhancing the realism.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 demonstrates superior texture rendering and temporal stability. Video 1 suffers from significant lighting flicker and lower textural detail.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact & Mood", "reason_1": "Video 1 fails to evoke the requested emotional shift, remaining stuck in a single, unchanging emotional state.", "reason_2": "Video 2 effectively conveys the transition from happiness to a more serious, pensive mood, creating a strong emotional narrative.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Lighting Execution", "reason_1": "The lighting in Video 1 is harsh and inconsistent, detracting from the aesthetic appeal.", "reason_2": "Video 2 uses the lighting change artistically to support the narrative, creating a visually pleasing and coherent aesthetic.", "score_1": 3, "score_2": 7}, {"name": "Framing & Composition", "reason_1": "Video 1 uses a very tight crop that cuts off parts of the face, which is acceptable but less balanced.", "reason_2": "Video 2 uses a standard close-up framing that allows for better visibility of the facial features and the lighting effects.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 successfully tells the micro-story of changing emotions through visual cues, whereas Video 1 lacks narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the complex temporal and emotional transition required by the prompt. It successfully shifts the lighting from warm to cool and depicts the subject's expression fading from a smile to a contemplative look. Video 1 fails to execute the narrative arc, maintaining a static smile throughout and suffering from erratic, artifact-heavy lighting changes.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 26.0, "total_score_2": 64.0, "elapsed_sec": 57.794} +{"pair_id": "047_seed_310", "sample_index": 47, "seed": 310, "prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_310_A woman with long flowing hair sprints through a s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_310_A woman with long flowing hair sprints through a s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_310_A woman with long flowing hair sprints through a s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_310_A woman with long flowing hair sprints through a s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Sprinting vs. Running)\", \"reason_1\": \"The subject in Video 1 displays a clear, energetic sprinting gait with appropriate body mechanics.\", \"reason_2\": \"The subject in Video 2 appears to be jogging or power-walking, lacking the speed and intensity of a 'sprint'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Hair Dynamics (Wild & Cascading)\", \"reason_1\": \"The hair moves fluidly, whipping and flowing in a way that matches the 'dancing wildly' description.\", \"reason_2\": \"The hair movement is stiff and unnatural, often clumping together or moving in a way that defies the physics of wind and running.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Sunlit Meadow)\", \"reason_1\": \"The environment is lush and green, though the 'vibrant wildflowers' are somewhat indistinct due to the depth of field.\", \"reason_2\": \"The environment is present, but the lighting is harsh and overexposed, washing out the details of the meadow.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately depicts the 'sprinting' action and the 'wild' nature of the hair movement. Video 2 depicts a slower jog and fails to capture the chaotic energy described.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Hair Physics)\", \"reason_1\": \"The hair maintains its volume and strand structure reasonably well throughout the motion.\", \"reason_2\": \"The hair suffers from severe morphing artifacts, appearing to melt or detach from the head in several frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Balance & Exposure\", \"reason_1\": \"The lighting is balanced, preserving details in both the subject and the background.\", \"reason_2\": \"The video is heavily overexposed (blown out), causing a loss of detail in the hair and background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The movement of the runner and the camera is smooth and cinematic.\", \"reason_2\": \"The motion feels slightly jerky, and the hair movement is disjointed from the runner's stride.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 is plagued by artifacts, particularly in the hair rendering, and suffers from poor exposure control.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Golden Hour)\", \"reason_1\": \"Successfully captures the 'golden sunlight' and 'mesmerizing' mood with warm tones and soft lighting.\", \"reason_2\": \"The lighting is harsh white/yellow rather than golden, creating a less inviting and less aesthetic atmosphere.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Appeal & Composition\", \"reason_1\": \"The framing focuses well on the hair movement while keeping the subject grounded in the scene.\", \"reason_2\": \"The composition is acceptable, but the visual appeal is diminished by the technical flaws and harsh contrast.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Expression of Freedom & Energy\", \"reason_1\": \"The combination of the sprint and the flowing hair effectively conveys the requested sense of freedom.\", \"reason_2\": \"The slower pace and glitchy visuals fail to convey the 'untamed energy' requested by the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully evokes the 'mesmerizing' and 'exhilarating' mood through better color grading and composition. Video 2 feels flatter and less artistic.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it superiorly captures the dynamic energy and specific physical attributes requested in the prompt. It features a convincing sprinting motion and hair that flows naturally with the wind, whereas Video 2 suffers from significant morphological instability in the hair, overexposed lighting, and a slower, less energetic gait.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Sprinting vs. Running)", "reason_1": "The subject in Video 1 displays a clear, energetic sprinting gait with appropriate body mechanics.", "reason_2": "The subject in Video 2 appears to be jogging or power-walking, lacking the speed and intensity of a 'sprint'.", "score_1": 8, "score_2": 2}, {"name": "Hair Dynamics (Wild & Cascading)", "reason_1": "The hair moves fluidly, whipping and flowing in a way that matches the 'dancing wildly' description.", "reason_2": "The hair movement is stiff and unnatural, often clumping together or moving in a way that defies the physics of wind and running.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Sunlit Meadow)", "reason_1": "The environment is lush and green, though the 'vibrant wildflowers' are somewhat indistinct due to the depth of field.", "reason_2": "The environment is present, but the lighting is harsh and overexposed, washing out the details of the meadow.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately depicts the 'sprinting' action and the 'wild' nature of the hair movement. Video 2 depicts a slower jog and fails to capture the chaotic energy described.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Hair Physics)", "reason_1": "The hair maintains its volume and strand structure reasonably well throughout the motion.", "reason_2": "The hair suffers from severe morphing artifacts, appearing to melt or detach from the head in several frames.", "score_1": 8, "score_2": 2}, {"name": "Lighting Balance & Exposure", "reason_1": "The lighting is balanced, preserving details in both the subject and the background.", "reason_2": "The video is heavily overexposed (blown out), causing a loss of detail in the hair and background.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness", "reason_1": "The movement of the runner and the camera is smooth and cinematic.", "reason_2": "The motion feels slightly jerky, and the hair movement is disjointed from the runner's stride.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 is plagued by artifacts, particularly in the hair rendering, and suffers from poor exposure control.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Golden Hour)", "reason_1": "Successfully captures the 'golden sunlight' and 'mesmerizing' mood with warm tones and soft lighting.", "reason_2": "The lighting is harsh white/yellow rather than golden, creating a less inviting and less aesthetic atmosphere.", "score_1": 8, "score_2": 2}, {"name": "Visual Appeal & Composition", "reason_1": "The framing focuses well on the hair movement while keeping the subject grounded in the scene.", "reason_2": "The composition is acceptable, but the visual appeal is diminished by the technical flaws and harsh contrast.", "score_1": 7, "score_2": 3}, {"name": "Expression of Freedom & Energy", "reason_1": "The combination of the sprint and the flowing hair effectively conveys the requested sense of freedom.", "reason_2": "The slower pace and glitchy visuals fail to convey the 'untamed energy' requested by the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully evokes the 'mesmerizing' and 'exhilarating' mood through better color grading and composition. Video 2 feels flatter and less artistic.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it superiorly captures the dynamic energy and specific physical attributes requested in the prompt. It features a convincing sprinting motion and hair that flows naturally with the wind, whereas Video 2 suffers from significant morphological instability in the hair, overexposed lighting, and a slower, less energetic gait.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 55.559} +{"pair_id": "050_seed_42", "sample_index": 50, "seed": 42, "prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_42_A character stands in a dimly lit room initially c.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Emotional Arc Fidelity (Shock to Relief)\", \"reason_1\": \"Video 1 depicts a static state of shock throughout the entire clip, completely failing to show the requested transition to relief or a smile.\", \"reason_2\": \"Video 2 perfectly captures the requested sequence: the initial shock is followed by a distinct relaxation of features and the emergence of a smile.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Camera Movement (Swift Zoom)\", \"reason_1\": \"Video 1 features a very subtle, slow push-in that lacks the 'swift' nature requested by the prompt.\", \"reason_2\": \"Video 2 executes a dramatic and swift zoom that effectively focuses attention on the facial expression changes as requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Atmosphere (Lighting)\", \"reason_1\": \"Video 1 has a relatively flat, bright anime lighting style that misses the 'dimly lit' and 'play of light and shadow' description.\", \"reason_2\": \"Video 2 features realistic, moody lighting with distinct shadows on the face, aligning well with the 'dimly lit' and dramatic atmosphere described.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the complex temporal instructions of the prompt, specifically the transition of emotions and the camera movement, whereas Video 1 failed to depict the resolution of the scene.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Muscle Dynamics & Realism\", \"reason_1\": \"The facial movement in Video 1 is limited to simple 2D deformation, lacking the nuance of a real human reaction.\", \"reason_2\": \"Video 2 showcases impressive dynamic realism, with the eyes, mouth, and cheeks moving naturally to convey the shift in emotion.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 is a clean anime render, but lacks the textural depth and detail of a photorealistic generation.\", \"reason_2\": \"Video 2 maintains high fidelity in skin texture and lighting details, creating a convincing photorealistic look.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is structurally stable with no warping artifacts.\", \"reason_2\": \"Video 2 is also stable, maintaining the subject's identity and facial structure perfectly even during the significant zoom and expression change.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior dynamic realism, particularly in the complex deformation of facial muscles required to show changing emotions.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 feels like a looped reaction GIF with no beginning or end, failing to tell the 'story' of the prompt.\", \"reason_2\": \"Video 2 has a clear beginning (shock), middle (transition), and end (relief), fulfilling the narrative requirements of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact & Acting\", \"reason_1\": \"The expression in Video 1 is exaggerated and static, limiting the emotional connection.\", \"reason_2\": \"The acting in Video 2 is nuanced and convincing, effectively conveying the internal shift from alarm to understanding.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing in Video 1 is standard but lacks the dramatic intensity provided by the lighting and zoom in the prompt.\", \"reason_2\": \"Video 2 uses the zoom and lighting to create a cinematic portrait that draws the viewer into the character's emotional state.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully tells the micro-story of a reaction and relief, whereas Video 1 feels like a static reaction shot without narrative progression.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it faithfully executes the critical narrative arc requested in the prompt: the transition from shock to relief. While Video 1 captures the initial shock, it remains static in that emotion, completely missing the required shift to a 'relaxed state' and 'slight smile.' Video 2 also features a more dramatic and accurate camera zoom and superior lighting that matches the 'dimly lit' description.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Emotional Arc Fidelity (Shock to Relief)", "reason_1": "Video 1 depicts a static state of shock throughout the entire clip, completely failing to show the requested transition to relief or a smile.", "reason_2": "Video 2 perfectly captures the requested sequence: the initial shock is followed by a distinct relaxation of features and the emergence of a smile.", "score_1": 1, "score_2": 9}, {"name": "Camera Movement (Swift Zoom)", "reason_1": "Video 1 features a very subtle, slow push-in that lacks the 'swift' nature requested by the prompt.", "reason_2": "Video 2 executes a dramatic and swift zoom that effectively focuses attention on the facial expression changes as requested.", "score_1": 3, "score_2": 7}, {"name": "Environmental Atmosphere (Lighting)", "reason_1": "Video 1 has a relatively flat, bright anime lighting style that misses the 'dimly lit' and 'play of light and shadow' description.", "reason_2": "Video 2 features realistic, moody lighting with distinct shadows on the face, aligning well with the 'dimly lit' and dramatic atmosphere described.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the complex temporal instructions of the prompt, specifically the transition of emotions and the camera movement, whereas Video 1 failed to depict the resolution of the scene.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Muscle Dynamics & Realism", "reason_1": "The facial movement in Video 1 is limited to simple 2D deformation, lacking the nuance of a real human reaction.", "reason_2": "Video 2 showcases impressive dynamic realism, with the eyes, mouth, and cheeks moving naturally to convey the shift in emotion.", "score_1": 2, "score_2": 8}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 is a clean anime render, but lacks the textural depth and detail of a photorealistic generation.", "reason_2": "Video 2 maintains high fidelity in skin texture and lighting details, creating a convincing photorealistic look.", "score_1": 4, "score_2": 6}, {"name": "Morphological Stability", "reason_1": "Video 1 is structurally stable with no warping artifacts.", "reason_2": "Video 2 is also stable, maintaining the subject's identity and facial structure perfectly even during the significant zoom and expression change.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior dynamic realism, particularly in the complex deformation of facial muscles required to show changing emotions.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Completeness", "reason_1": "Video 1 feels like a looped reaction GIF with no beginning or end, failing to tell the 'story' of the prompt.", "reason_2": "Video 2 has a clear beginning (shock), middle (transition), and end (relief), fulfilling the narrative requirements of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact & Acting", "reason_1": "The expression in Video 1 is exaggerated and static, limiting the emotional connection.", "reason_2": "The acting in Video 2 is nuanced and convincing, effectively conveying the internal shift from alarm to understanding.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition", "reason_1": "The framing in Video 1 is standard but lacks the dramatic intensity provided by the lighting and zoom in the prompt.", "reason_2": "Video 2 uses the zoom and lighting to create a cinematic portrait that draws the viewer into the character's emotional state.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully tells the micro-story of a reaction and relief, whereas Video 1 feels like a static reaction shot without narrative progression.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it faithfully executes the critical narrative arc requested in the prompt: the transition from shock to relief. While Video 1 captures the initial shock, it remains static in that emotion, completely missing the required shift to a 'relaxed state' and 'slight smile.' Video 2 also features a more dramatic and accurate camera zoom and superior lighting that matches the 'dimly lit' description.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 56.801} +{"pair_id": "052_seed_930", "sample_index": 52, "seed": 930, "prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_052_seed_930_In a bustling city square two distinct groups conv.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Heated Exchange)\", \"reason_1\": \"Video 1 clearly depicts a confrontation with shouting and aggressive body language, matching the 'heated exchange' requirement.\", \"reason_2\": \"Video 2 shows a static group posing for a photo or selfie, completely missing the prompt's instruction for a confrontation or exchange.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Attire & Color)\", \"reason_1\": \"Video 1 attempts to distinguish groups through clothing colors (greens/blues vs. reds), though the distinction is somewhat blended.\", \"reason_2\": \"Video 2 features a group in matching casual wear, failing to visually distinguish two opposing ideologies through attire.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Context (Bustling Square)\", \"reason_1\": \"Video 1 depicts a deep, open city square with background architecture and depth, fitting the 'bustling' description.\", \"reason_2\": \"Video 2 feels cramped and flat, lacking the spatial depth of a city square.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 aligns with the prompt's request for a 'heated exchange' and 'confrontation,' whereas Video 2 depicts a static group posing for a photo, missing the core narrative action.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"Video 1 suffers from severe facial distortions, with features melting and shifting unnaturally during the shouting.\", \"reason_2\": \"Video 2 also has distorted faces, but they are slightly more stable in their grotesqueness compared to the fluid melting in Video 1.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Object Stability (Banners/Phones)\", \"reason_1\": \"The flags and banners in Video 1 warp and change shape significantly as they move.\", \"reason_2\": \"The large banner in Video 2 maintains its general shape better, though the text is gibberish.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"Video 1 captures the chaotic, jerky motion of a protest effectively.\", \"reason_2\": \"Video 2 has very little motion, mostly consisting of a camera pan over a static scene, lacking dynamic realism.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Both videos suffer from severe anatomical hallucinations (melting faces). Video 2 wins this category slightly only because its static nature results in fewer morphing artifacts compared to the complex motion of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tension & Mood\", \"reason_1\": \"Video 1 successfully evokes the 'palpable energy' and 'tension' requested by the prompt.\", \"reason_2\": \"Video 2 has a casual, almost cheerful mood (posing for a photo), which is the opposite of the requested tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a dynamic angle that places the viewer in the middle of the action, enhancing the narrative.\", \"reason_2\": \"Video 2 uses a flat, frontal composition that feels like a snapshot rather than a cinematic scene.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 tells the story of a clash between groups.\", \"reason_2\": \"Video 2 fails to convey a narrative of conflict, presenting only a single static moment of a group gathering.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the cinematic energy and mood of a protest, while Video 2 lacks narrative drive and emotional impact.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the core narrative of a 'heated exchange' and 'confrontation' with dynamic motion and appropriate atmospheric tension. While both videos suffer from significant facial distortions typical of current generation models, Video 1 portrays the requested action (shouting, arguing) and environmental depth. Video 2 fails semantically, depicting a static group posing for a selfie rather than a clash of ideologies, lacking the required narrative energy.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling city square, two distinct groups converge, each representing opposing ideologies, their banners and placards vividly displaying their contrasting viewpoints. The air crackles with tension as passionate voices rise, echoing through the space. One group, clad in vibrant colors, advocates for progressive change, their expressions determined and hopeful. The other, dressed in more subdued tones, stands firm in their traditional beliefs, their faces resolute and unwavering. As they engage in a heated exchange, the atmosphere becomes charged, with onlookers gathering, some capturing the moment on their phones, while others watch intently, sensing the palpable energy of the confrontation.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Heated Exchange)", "reason_1": "Video 1 clearly depicts a confrontation with shouting and aggressive body language, matching the 'heated exchange' requirement.", "reason_2": "Video 2 shows a static group posing for a photo or selfie, completely missing the prompt's instruction for a confrontation or exchange.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Attire & Color)", "reason_1": "Video 1 attempts to distinguish groups through clothing colors (greens/blues vs. reds), though the distinction is somewhat blended.", "reason_2": "Video 2 features a group in matching casual wear, failing to visually distinguish two opposing ideologies through attire.", "score_1": 6, "score_2": 4}, {"name": "Environmental Context (Bustling Square)", "reason_1": "Video 1 depicts a deep, open city square with background architecture and depth, fitting the 'bustling' description.", "reason_2": "Video 2 feels cramped and flat, lacking the spatial depth of a city square.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 aligns with the prompt's request for a 'heated exchange' and 'confrontation,' whereas Video 2 depicts a static group posing for a photo, missing the core narrative action.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "Video 1 suffers from severe facial distortions, with features melting and shifting unnaturally during the shouting.", "reason_2": "Video 2 also has distorted faces, but they are slightly more stable in their grotesqueness compared to the fluid melting in Video 1.", "score_1": 4, "score_2": 6}, {"name": "Object Stability (Banners/Phones)", "reason_1": "The flags and banners in Video 1 warp and change shape significantly as they move.", "reason_2": "The large banner in Video 2 maintains its general shape better, though the text is gibberish.", "score_1": 4, "score_2": 6}, {"name": "Motion Fluidity & Physics", "reason_1": "Video 1 captures the chaotic, jerky motion of a protest effectively.", "reason_2": "Video 2 has very little motion, mostly consisting of a camera pan over a static scene, lacking dynamic realism.", "score_1": 7, "score_2": 3}], "cat_reason": "Both videos suffer from severe anatomical hallucinations (melting faces). Video 2 wins this category slightly only because its static nature results in fewer morphing artifacts compared to the complex motion of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tension & Mood", "reason_1": "Video 1 successfully evokes the 'palpable energy' and 'tension' requested by the prompt.", "reason_2": "Video 2 has a casual, almost cheerful mood (posing for a photo), which is the opposite of the requested tension.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a dynamic angle that places the viewer in the middle of the action, enhancing the narrative.", "reason_2": "Video 2 uses a flat, frontal composition that feels like a snapshot rather than a cinematic scene.", "score_1": 7, "score_2": 3}, {"name": "Narrative Completeness", "reason_1": "Video 1 tells the story of a clash between groups.", "reason_2": "Video 2 fails to convey a narrative of conflict, presenting only a single static moment of a group gathering.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the cinematic energy and mood of a protest, while Video 2 lacks narrative drive and emotional impact.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the core narrative of a 'heated exchange' and 'confrontation' with dynamic motion and appropriate atmospheric tension. While both videos suffer from significant facial distortions typical of current generation models, Video 1 portrays the requested action (shouting, arguing) and environmental depth. Video 2 fails semantically, depicting a static group posing for a selfie rather than a clash of ideologies, lacking the required narrative energy.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 61.0, "total_score_2": 29.0, "elapsed_sec": 56.822} +{"pair_id": "055_seed_310", "sample_index": 55, "seed": 310, "prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_310_A young professional seated at a sleek desk in a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_310_A young professional seated at a sleek desk in a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_310_A young professional seated at a sleek desk in a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_310_A young professional seated at a sleek desk in a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Narrative Action Sequence (Browses to Astonishment)\", \"reason_1\": \"Video 1 depicts a static state of working with no discernible shift in action or reaction to a discovery.\", \"reason_2\": \"Video 2 clearly portrays the sequence: typing, stopping, leaning in, and reacting with a distinct change in demeanor.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement Compliance (Zoom In)\", \"reason_1\": \"The camera in Video 1 is completely static, ignoring the explicit instruction to 'zoom in on their face'.\", \"reason_2\": \"Video 2 executes a clear, intentional zoom-in that focuses attention on the subject's reaction as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (City Skyline)\", \"reason_1\": \"Video 1 features a very clear, high-quality bokeh effect of city lights in the background, matching the 'city skyline' description well.\", \"reason_2\": \"Video 2 has a generic office background; while there are lights, the specific 'city skyline' context is less distinct than in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Subject Attributes (Young Professional)\", \"reason_1\": \"Video 1 correctly depicts a young professional in office attire.\", \"reason_2\": \"Video 2 also correctly depicts a young professional in office attire.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 followed the script's action and camera instructions, whereas Video 1 ignored the narrative progression and camera movement entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"The subject's face in Video 1 remains structurally consistent and realistic throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe distortion; the subject's eyes and facial structure warp and melt unnaturally during the zoom and expression change.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is crisp, sharp, and has professional-grade lighting and texture rendering.\", \"reason_2\": \"Video 2 appears softer, with lower resolution textures and a 'plastic' AI look to the skin and clothing.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The subtle movements in Video 1 (typing, breathing) are smooth and physically grounded.\", \"reason_2\": \"The motion in Video 2 is jerky, and the subject's lean feels weightless and unnatural.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 is technically superior, offering a stable, high-resolution image. Video 2 suffers from significant morphological instability and distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Arc Realization\", \"reason_1\": \"Video 1 shows a single, unchanging expression of mild focus, failing to convey the requested 'astonishment' or 'contemplation'.\", \"reason_2\": \"Video 2 successfully transitions the character from neutral to shocked/astonished, fulfilling the emotional core of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 uses a standard medium shot that does not evolve, missing the cinematic intent of the prompt.\", \"reason_2\": \"Video 2 uses the zoom to effectively shift the viewer's focus from the action (typing) to the reaction (face), enhancing the narrative.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is aesthetically pleasing with good color grading and depth of field.\", \"reason_2\": \"Video 2 is visually unappealing due to the uncanny valley effect and distortion artifacts.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Despite lower visual quality, Video 2 captures the cinematic intent and emotional arc required by the prompt, which Video 1 fails to attempt.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Character Performance & Micro-Expressions\", \"dims\": [{\"name\": \"Eye Reaction (Widening)\", \"reason_1\": \"The subject's eyes in Video 1 remain relatively static and do not widen in reaction to anything.\", \"reason_2\": \"Video 2 explicitly attempts the 'eyes widen' instruction, creating a clear (albeit distorted) reaction.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Body Language (Leaning & Hovering)\", \"reason_1\": \"The subject in Video 1 remains seated in a fixed position.\", \"reason_2\": \"Video 2 depicts the subject leaning forward and then sitting back, matching the specific body language cues in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Expression Nuance (Curiosity to Astonishment)\", \"reason_1\": \"Video 1 lacks any expression change.\", \"reason_2\": \"Video 2 portrays a distinct shift in facial expression that aligns with the prompt's narrative of discovery.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"This personalized category highlights Video 2's success in animating the specific acting cues requested, which Video 1 completely omitted.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner in terms of semantic adherence and narrative execution. It successfully attempts the complex sequence of actions requested (browsing, leaning in, zooming, reacting with astonishment) and follows the specific camera direction. Video 1, while visually superior in stability and resolution, completely ignores the narrative arc and camera movement instructions, resulting in a static, generic clip that fails to tell the requested story.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Narrative Action Sequence (Browses to Astonishment)", "reason_1": "Video 1 depicts a static state of working with no discernible shift in action or reaction to a discovery.", "reason_2": "Video 2 clearly portrays the sequence: typing, stopping, leaning in, and reacting with a distinct change in demeanor.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement Compliance (Zoom In)", "reason_1": "The camera in Video 1 is completely static, ignoring the explicit instruction to 'zoom in on their face'.", "reason_2": "Video 2 executes a clear, intentional zoom-in that focuses attention on the subject's reaction as requested.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (City Skyline)", "reason_1": "Video 1 features a very clear, high-quality bokeh effect of city lights in the background, matching the 'city skyline' description well.", "reason_2": "Video 2 has a generic office background; while there are lights, the specific 'city skyline' context is less distinct than in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Subject Attributes (Young Professional)", "reason_1": "Video 1 correctly depicts a young professional in office attire.", "reason_2": "Video 2 also correctly depicts a young professional in office attire.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 followed the script's action and camera instructions, whereas Video 1 ignored the narrative progression and camera movement entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "The subject's face in Video 1 remains structurally consistent and realistic throughout the clip.", "reason_2": "Video 2 suffers from severe distortion; the subject's eyes and facial structure warp and melt unnaturally during the zoom and expression change.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is crisp, sharp, and has professional-grade lighting and texture rendering.", "reason_2": "Video 2 appears softer, with lower resolution textures and a 'plastic' AI look to the skin and clothing.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The subtle movements in Video 1 (typing, breathing) are smooth and physically grounded.", "reason_2": "The motion in Video 2 is jerky, and the subject's lean feels weightless and unnatural.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 is technically superior, offering a stable, high-resolution image. Video 2 suffers from significant morphological instability and distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Arc Realization", "reason_1": "Video 1 shows a single, unchanging expression of mild focus, failing to convey the requested 'astonishment' or 'contemplation'.", "reason_2": "Video 2 successfully transitions the character from neutral to shocked/astonished, fulfilling the emotional core of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 uses a standard medium shot that does not evolve, missing the cinematic intent of the prompt.", "reason_2": "Video 2 uses the zoom to effectively shift the viewer's focus from the action (typing) to the reaction (face), enhancing the narrative.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is aesthetically pleasing with good color grading and depth of field.", "reason_2": "Video 2 is visually unappealing due to the uncanny valley effect and distortion artifacts.", "score_1": 8, "score_2": 2}], "cat_reason": "Despite lower visual quality, Video 2 captures the cinematic intent and emotional arc required by the prompt, which Video 1 fails to attempt.", "cat_winner": "Video 2"}, {"name": "D. Character Performance & Micro-Expressions", "dims": [{"name": "Eye Reaction (Widening)", "reason_1": "The subject's eyes in Video 1 remain relatively static and do not widen in reaction to anything.", "reason_2": "Video 2 explicitly attempts the 'eyes widen' instruction, creating a clear (albeit distorted) reaction.", "score_1": 2, "score_2": 8}, {"name": "Body Language (Leaning & Hovering)", "reason_1": "The subject in Video 1 remains seated in a fixed position.", "reason_2": "Video 2 depicts the subject leaning forward and then sitting back, matching the specific body language cues in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Expression Nuance (Curiosity to Astonishment)", "reason_1": "Video 1 lacks any expression change.", "reason_2": "Video 2 portrays a distinct shift in facial expression that aligns with the prompt's narrative of discovery.", "score_1": 1, "score_2": 9}], "cat_reason": "This personalized category highlights Video 2's success in animating the specific acting cues requested, which Video 1 completely omitted.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner in terms of semantic adherence and narrative execution. It successfully attempts the complex sequence of actions requested (browsing, leaning in, zooming, reacting with astonishment) and follows the specific camera direction. Video 1, while visually superior in stability and resolution, completely ignores the narrative arc and camera movement instructions, resulting in a static, generic clip that fails to tell the requested story.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 58.0, "total_score_2": 72.0, "elapsed_sec": 75.533} +{"pair_id": "058_seed_42", "sample_index": 58, "seed": 42, "prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_42_In a dimly lit conference room a diverse group of.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_42_In a dimly lit conference room a diverse group of.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_42_In a dimly lit conference room a diverse group of.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_42_In a dimly lit conference room a diverse group of.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Atmospheric Fidelity (Lighting & Mood)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'tense' atmosphere requested.\", \"reason_2\": \"Video 2 presents a bright, evenly lit room that feels casual and lacks the requested tension.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Action Specificity\", \"reason_1\": \"Video 1 clearly depicts the woman gesturing passionately and the man with crossed arms, matching the prompt's action cues.\", \"reason_2\": \"Video 2 shows generic meeting behavior; the specific 'passionate argument' and 'skeptical listening' are not clearly distinguishable.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Logic\", \"reason_1\": \"Video 1 attempts the requested 'pan' and 'shift' to focus on different characters.\", \"reason_2\": \"Video 2 utilizes a static wide shot with no camera movement to shift focus as requested.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 adheres strictly to the prompt's descriptive elements, including the lighting, specific character actions, and camera movement, whereas Video 2 ignores the atmospheric and cinematic instructions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"Video 1 fails significantly here; the characters morph and change appearance completely between the camera cuts.\", \"reason_2\": \"Video 2 maintains consistent character identities throughout the clip.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 exhibits noticeable warping and distortion of faces and hands during motion.\", \"reason_2\": \"Video 2 is morphologically stable with no obvious warping artifacts.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"Video 1 has a slightly softer, more generated look with some noise.\", \"reason_2\": \"Video 2 appears sharper and cleaner, resembling standard stock footage.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior in terms of stability and consistency. Video 1 suffers from severe hallucinations where characters change identity and appearance between shots.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"Video 1 uses varied shot sizes and angles to create a cinematic feel appropriate for a dramatic scene.\", \"reason_2\": \"Video 2 uses a flat, uninspired wide angle that lacks cinematic intent.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Emotional Impact & Tension\", \"reason_1\": \"Video 1 successfully conveys the 'high stakes' and 'tense' mood through lighting and acting.\", \"reason_2\": \"Video 2 feels emotionally neutral and mundane.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow\", \"reason_1\": \"Video 1 follows the narrative sequence of the prompt (Woman -> Man -> Elderly Man).\", \"reason_2\": \"Video 2 is a single continuous shot that does not follow the narrative progression described.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a cinematic experience that matches the dramatic tone of the prompt, whereas Video 2 feels like a flat, corporate training video.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific atmospheric ('dimly lit', 'tense') and narrative requirements of the prompt, including the specific character actions (passionate gesturing, skeptical listening) and the requested camera movement (pans and shifts). Video 2, while technically more stable, fails to adhere to the prompt's core constraints, presenting a bright, static, and generic meeting scene that lacks the requested dramatic tension and specific character interactions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Atmospheric Fidelity (Lighting & Mood)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'tense' atmosphere requested.", "reason_2": "Video 2 presents a bright, evenly lit room that feels casual and lacks the requested tension.", "score_1": 9, "score_2": 1}, {"name": "Subject Action Specificity", "reason_1": "Video 1 clearly depicts the woman gesturing passionately and the man with crossed arms, matching the prompt's action cues.", "reason_2": "Video 2 shows generic meeting behavior; the specific 'passionate argument' and 'skeptical listening' are not clearly distinguishable.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Logic", "reason_1": "Video 1 attempts the requested 'pan' and 'shift' to focus on different characters.", "reason_2": "Video 2 utilizes a static wide shot with no camera movement to shift focus as requested.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 adheres strictly to the prompt's descriptive elements, including the lighting, specific character actions, and camera movement, whereas Video 2 ignores the atmospheric and cinematic instructions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "Video 1 fails significantly here; the characters morph and change appearance completely between the camera cuts.", "reason_2": "Video 2 maintains consistent character identities throughout the clip.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "Video 1 exhibits noticeable warping and distortion of faces and hands during motion.", "reason_2": "Video 2 is morphologically stable with no obvious warping artifacts.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Sharpness", "reason_1": "Video 1 has a slightly softer, more generated look with some noise.", "reason_2": "Video 2 appears sharper and cleaner, resembling standard stock footage.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior in terms of stability and consistency. Video 1 suffers from severe hallucinations where characters change identity and appearance between shots.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "Video 1 uses varied shot sizes and angles to create a cinematic feel appropriate for a dramatic scene.", "reason_2": "Video 2 uses a flat, uninspired wide angle that lacks cinematic intent.", "score_1": 8, "score_2": 2}, {"name": "Emotional Impact & Tension", "reason_1": "Video 1 successfully conveys the 'high stakes' and 'tense' mood through lighting and acting.", "reason_2": "Video 2 feels emotionally neutral and mundane.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow", "reason_1": "Video 1 follows the narrative sequence of the prompt (Woman -> Man -> Elderly Man).", "reason_2": "Video 2 is a single continuous shot that does not follow the narrative progression described.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a cinematic experience that matches the dramatic tone of the prompt, whereas Video 2 feels like a flat, corporate training video.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific atmospheric ('dimly lit', 'tense') and narrative requirements of the prompt, including the specific character actions (passionate gesturing, skeptical listening) and the requested camera movement (pans and shifts). Video 2, while technically more stable, fails to adhere to the prompt's core constraints, presenting a bright, static, and generic meeting scene that lacks the requested dramatic tension and specific character interactions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 59.0, "total_score_2": 31.0, "elapsed_sec": 58.12} +{"pair_id": "060_seed_930", "sample_index": 60, "seed": 930, "prompt": "A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_060_seed_930_A young adult wearing a gray hoodie and jeans stan.mp4", "swapped": false, "success": true, "model_output": "Both videos fail to generate the full multi-scene narrative (Street -> Park -> Apartment -> Rooftop) and instead produce a short, disjointed clip focusing primarily on the street and a brief, glitchy cut to an interior. However, Video 1 is significantly superior in visual fidelity, subject consistency, and atmospheric rendering.\n\n**1. Mandatory Categories**\n\n**A. Semantic Alignment & Accuracy**\n* **Subject Attributes & Expression:** Video 1 captures the \"determination and vulnerability\" and the specific lighting reflections on the face much better. Video 2's subject looks somewhat generic and the expression is less distinct.\n* **Environmental Atmosphere:** Video 1 excels at the \"dimly lit city street\" with \"colorful reflections.\" The neon lighting is vibrant and interacts realistically with the subject. Video 2's environment is flatter and less atmospheric.\n* **Narrative Sequence Completeness:** Both videos fail to show the Park, the full Apartment scene (sitting at desk), or the Rooftop. They both essentially loop between the street and a brief, confused interior shot. Video 1 is slightly better as the interior shot, though brief, is more recognizable as a room.\n\n**B. Video Quality & Dynamic Realism**\n* **Visual Fidelity & Sharpness:** Video 1 is crisp, with high-quality texture rendering on the hoodie and skin. Video 2 appears softer, with a slightly washed-out look and lower perceived resolution.\n* **Subject Identity Persistence:** Video 1 maintains a very consistent facial structure for the protagonist. Video 2's subject shifts slightly in facial geometry between frames.\n* **Transition Stability:** Both videos struggle with the transition to the interior scene. However, Video 1's cut, while abrupt, feels like a scene change. Video 2's transition is messy, with the subject seemingly morphing or clipping through the environment.\n\n**C. Narrative, Aesthetics & Cinematography**\n* **Cinematic Lighting & Color Grading:** Video 1 utilizes a strong teal and orange color palette that enhances the emotional mood. The lighting is dramatic and professional. Video 2 lacks this stylistic polish.\n* **Composition & Framing:** The framing in Video 1 is more deliberate, keeping the subject well-centered with a pleasing depth of field. Video 2's framing is functional but less artistic.\n* **Emotional Impact:** Due to the superior lighting and facial detail, Video 1 successfully conveys the requested mood of contemplation and resilience, whereas Video 2 feels emotionally neutral.\n\n**2. Personalized Category: Scene Transition Logic**\n* **Spatial Logic:** The prompt requires a shift from outdoors to indoors. Video 1 attempts this with a hard cut that, while jarring, separates the spaces. Video 2 attempts a morph that results in the subject appearing to walk *through* a window or wall in a physically impossible way.\n* **Scene Continuity:** Video 1 maintains the integrity of the subject's clothing and general appearance across the cut. Video 2 loses coherence during the transition, with the background and subject blending poorly.\n\n**Conclusion**\nVideo 1 is the clear winner due to its superior visual fidelity, cinematic lighting, and better preservation of the subject's identity. While both models failed to generate the complex four-location narrative sequence requested, Video 1 produced a high-quality, aesthetically pleasing clip of the first scene with a recognizable (though brief) second scene. Video 2 suffered from lower resolution, flatter lighting, and confusing spatial logic during the scene transition.\n\n```json\n{\"prompt\": \"[A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.]\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Expression\", \"reason_1\": \"Video 1 accurately renders the gray hoodie and captures the specific 'determination and vulnerability' in the facial expression.\", \"reason_2\": \"Video 2 renders the hoodie but the facial expression is generic and lacks the specific emotional nuance requested.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Atmosphere\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'neon lights casting colorful reflections' requirement with high dynamic range.\", \"reason_2\": \"Video 2 has a flatter lighting profile that misses the dramatic neon reflections described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Sequence Completeness\", \"reason_1\": \"Video 1 fails to show the Park, full Apartment, or Rooftop scenes, only showing the Street and a brief glimpse of a room.\", \"reason_2\": \"Video 2 also fails to show the required sequence, showing only the Street and a confused interior transition.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 captures the specific atmospheric details (neon reflections, expression) much better than Video 2, despite both failing the full narrative sequence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is sharp, detailed, and free of significant noise.\", \"reason_2\": \"The video appears softer, with a 'muddy' texture and lower perceived resolution.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The protagonist's face remains consistent and recognizable throughout the clip.\", \"reason_2\": \"The subject's facial features shift slightly, and the identity is less stable during movement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Transition Stability\", \"reason_1\": \"The cut to the interior scene is abrupt but the subject remains solid.\", \"reason_2\": \"The transition is messy, with the subject appearing to clip through geometry or morph unnaturally.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 demonstrates professional-grade sharpness and stability, whereas Video 2 suffers from softness and morphing artifacts.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Color Grading\", \"reason_1\": \"Excellent use of color contrast (warm neon vs cool shadows) creates a strong cinematic look.\", \"reason_2\": \"Lighting is flat and lacks artistic grading, resulting in a less engaging visual.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is framed well with a shallow depth of field that separates them from the background effectively.\", \"reason_2\": \"Framing is acceptable but lacks the depth and focus control seen in Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Impact\", \"reason_1\": \"The lighting and expression combine to effectively convey the requested mood of contemplation.\", \"reason_2\": \"The video feels more like a generic stock clip and lacks emotional weight.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 looks like a shot from a high-budget film, while Video 2 resembles a lower-quality generation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 significantly outperforms Video 2 in terms of visual fidelity, cinematic lighting, and subject consistency. While both videos fail to generate the complete four-location narrative sequence (missing the Park and Rooftop scenes entirely), Video 1 delivers a high-quality, aesthetically pleasing representation of the first scene (street) and a recognizable, albeit brief, glimpse of the second (interior). Video 2 suffers from lower resolution, flatter lighting, and confusing spatial logic during the scene transition.\", \"winner\": \"Video 1\"}\n```", "parsed_output": {"prompt": "[A young adult, wearing a gray hoodie and jeans, stands alone on a dimly lit city street, their face reflecting a mix of determination and vulnerability. The camera captures their hesitant steps as they navigate through bustling crowds, the city's neon lights casting colorful reflections on their contemplative expression. In a quiet park, they pause, sitting on a bench, their gaze distant, lost in thought. The scene shifts to a cozy apartment, where they sit at a cluttered desk, surrounded by personal mementos, their fingers tapping nervously on a laptop. Finally, they stand on a rooftop, overlooking the cityscape, the wind gently tousling their hair, as they take a deep breath, symbolizing resilience and hope amidst adversity.]", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Expression", "reason_1": "Video 1 accurately renders the gray hoodie and captures the specific 'determination and vulnerability' in the facial expression.", "reason_2": "Video 2 renders the hoodie but the facial expression is generic and lacks the specific emotional nuance requested.", "score_1": 7, "score_2": 3}, {"name": "Environmental Atmosphere", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'neon lights casting colorful reflections' requirement with high dynamic range.", "reason_2": "Video 2 has a flatter lighting profile that misses the dramatic neon reflections described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Narrative Sequence Completeness", "reason_1": "Video 1 fails to show the Park, full Apartment, or Rooftop scenes, only showing the Street and a brief glimpse of a room.", "reason_2": "Video 2 also fails to show the required sequence, showing only the Street and a confused interior transition.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 captures the specific atmospheric details (neon reflections, expression) much better than Video 2, despite both failing the full narrative sequence.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The image is sharp, detailed, and free of significant noise.", "reason_2": "The video appears softer, with a 'muddy' texture and lower perceived resolution.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The protagonist's face remains consistent and recognizable throughout the clip.", "reason_2": "The subject's facial features shift slightly, and the identity is less stable during movement.", "score_1": 7, "score_2": 3}, {"name": "Transition Stability", "reason_1": "The cut to the interior scene is abrupt but the subject remains solid.", "reason_2": "The transition is messy, with the subject appearing to clip through geometry or morph unnaturally.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 demonstrates professional-grade sharpness and stability, whereas Video 2 suffers from softness and morphing artifacts.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Color Grading", "reason_1": "Excellent use of color contrast (warm neon vs cool shadows) creates a strong cinematic look.", "reason_2": "Lighting is flat and lacks artistic grading, resulting in a less engaging visual.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The subject is framed well with a shallow depth of field that separates them from the background effectively.", "reason_2": "Framing is acceptable but lacks the depth and focus control seen in Video 1.", "score_1": 7, "score_2": 3}, {"name": "Emotional Impact", "reason_1": "The lighting and expression combine to effectively convey the requested mood of contemplation.", "reason_2": "The video feels more like a generic stock clip and lacks emotional weight.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 looks like a shot from a high-budget film, while Video 2 resembles a lower-quality generation.", "cat_winner": "Video 1"}], "reason": "Video 1 significantly outperforms Video 2 in terms of visual fidelity, cinematic lighting, and subject consistency. While both videos fail to generate the complete four-location narrative sequence (missing the Park and Rooftop scenes entirely), Video 1 delivers a high-quality, aesthetically pleasing representation of the first scene (street) and a recognizable, albeit brief, glimpse of the second (interior). Video 2 suffers from lower resolution, flatter lighting, and confusing spatial logic during the scene transition.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 64.0, "total_score_2": 26.0, "elapsed_sec": 94.912} +{"pair_id": "063_seed_310", "sample_index": 63, "seed": 310, "prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_310_In a dimly lit laboratory filled with advanced equ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_310_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_310_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_310_In a dimly lit laboratory filled with advanced equ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Tone)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit' and 'clandestine' atmosphere requested.\", \"reason_2\": \"Video 2 completely ignores the lighting instruction, presenting a bright, sterile, and clinical environment that contradicts the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Key Object Specificity (Red Warning Files)\", \"reason_1\": \"Video 1 clearly renders a document with a prominent red warning symbol, a specific detail requested in the prompt.\", \"reason_2\": \"Video 2 shows a generic clipboard with illegible text and no distinct 'red warning' markings.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Expression (Moral Conflict)\", \"reason_1\": \"The scientist in Video 1 displays a furrowed brow and intense gaze, effectively conveying the requested 'determination and moral conflict'.\", \"reason_2\": \"The scientist in Video 2 has a neutral, focused expression typical of stock footage, lacking the emotional complexity described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Recording Data)\", \"reason_1\": \"Video 1 shows the scientist holding the file and looking at it, but the active writing/recording motion is less prominent.\", \"reason_2\": \"Video 2 explicitly shows the hand actively writing on the clipboard, aligning slightly better with the specific action of 'meticulously records data'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 1 adheres strictly to the descriptive adjectives in the prompt (dimly lit, red warnings, moral conflict), whereas Video 2 ignores the lighting and mood instructions entirely.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 has a softer, slightly grainier look, likely a stylistic choice for the mood, but technically less sharp.\", \"reason_2\": \"Video 2 is crisp, clean, and high-resolution, resembling high-quality stock footage.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The scientist's facial features remain consistent throughout the clip.\", \"reason_2\": \"The scientist's identity is stable and consistent.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera movement and subject motion are fluid and natural.\", \"reason_2\": \"The writing motion and camera pan are smooth and realistic.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 edges out Video 1 in terms of raw image sharpness and clarity, although Video 1's softer look is stylistically appropriate.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Mood & Tension\", \"reason_1\": \"Video 1 successfully evokes a sense of tension and secrecy through lighting and color grading.\", \"reason_2\": \"Video 2 lacks any narrative tension; it feels like a standard medical procedure demonstration.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement (Pan & Reveal)\", \"reason_1\": \"Video 1 utilizes an over-the-shoulder shot that effectively connects the scientist to the subject, enhancing the narrative link.\", \"reason_2\": \"Video 2 uses a standard pan that feels functional rather than narrative-driven.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Integrity (Clandestine Nature)\", \"reason_1\": \"The visual elements in Video 1 (shadows, warning sign, intense look) combine to tell the story of an 'unauthorized experiment'.\", \"reason_2\": \"Video 2 fails to convey any narrative beyond a routine medical check-up.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 excels in creating a cinematic narrative that matches the prompt's thriller-like tone, whereas Video 2 feels like generic medical b-roll.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the specific atmospheric and narrative requirements of the prompt. It correctly renders the 'dimly lit' environment, the 'red warnings' on the file, and the scientist's expression of 'moral conflict.' Video 2, while high quality, fails significantly on semantic alignment by presenting a bright, sterile, and clinical environment that contradicts the requested 'clandestine' and 'tense' mood.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Tone)", "reason_1": "Video 1 perfectly captures the 'dimly lit' and 'clandestine' atmosphere requested.", "reason_2": "Video 2 completely ignores the lighting instruction, presenting a bright, sterile, and clinical environment that contradicts the prompt.", "score_1": 9, "score_2": 1}, {"name": "Key Object Specificity (Red Warning Files)", "reason_1": "Video 1 clearly renders a document with a prominent red warning symbol, a specific detail requested in the prompt.", "reason_2": "Video 2 shows a generic clipboard with illegible text and no distinct 'red warning' markings.", "score_1": 9, "score_2": 1}, {"name": "Subject Expression (Moral Conflict)", "reason_1": "The scientist in Video 1 displays a furrowed brow and intense gaze, effectively conveying the requested 'determination and moral conflict'.", "reason_2": "The scientist in Video 2 has a neutral, focused expression typical of stock footage, lacking the emotional complexity described.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Recording Data)", "reason_1": "Video 1 shows the scientist holding the file and looking at it, but the active writing/recording motion is less prominent.", "reason_2": "Video 2 explicitly shows the hand actively writing on the clipboard, aligning slightly better with the specific action of 'meticulously records data'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 1 adheres strictly to the descriptive adjectives in the prompt (dimly lit, red warnings, moral conflict), whereas Video 2 ignores the lighting and mood instructions entirely.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 has a softer, slightly grainier look, likely a stylistic choice for the mood, but technically less sharp.", "reason_2": "Video 2 is crisp, clean, and high-resolution, resembling high-quality stock footage.", "score_1": 4, "score_2": 6}, {"name": "Subject Identity Persistence", "reason_1": "The scientist's facial features remain consistent throughout the clip.", "reason_2": "The scientist's identity is stable and consistent.", "score_1": 5, "score_2": 5}, {"name": "Motion Smoothness", "reason_1": "The camera movement and subject motion are fluid and natural.", "reason_2": "The writing motion and camera pan are smooth and realistic.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 edges out Video 1 in terms of raw image sharpness and clarity, although Video 1's softer look is stylistically appropriate.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Mood & Tension", "reason_1": "Video 1 successfully evokes a sense of tension and secrecy through lighting and color grading.", "reason_2": "Video 2 lacks any narrative tension; it feels like a standard medical procedure demonstration.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement (Pan & Reveal)", "reason_1": "Video 1 utilizes an over-the-shoulder shot that effectively connects the scientist to the subject, enhancing the narrative link.", "reason_2": "Video 2 uses a standard pan that feels functional rather than narrative-driven.", "score_1": 7, "score_2": 3}, {"name": "Narrative Integrity (Clandestine Nature)", "reason_1": "The visual elements in Video 1 (shadows, warning sign, intense look) combine to tell the story of an 'unauthorized experiment'.", "reason_2": "Video 2 fails to convey any narrative beyond a routine medical check-up.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 excels in creating a cinematic narrative that matches the prompt's thriller-like tone, whereas Video 2 feels like generic medical b-roll.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the specific atmospheric and narrative requirements of the prompt. It correctly renders the 'dimly lit' environment, the 'red warnings' on the file, and the scientist's expression of 'moral conflict.' Video 2, while high quality, fails significantly on semantic alignment by presenting a bright, sterile, and clinical environment that contradicts the requested 'clandestine' and 'tense' mood.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 31.0, "elapsed_sec": 63.147} +{"pair_id": "066_seed_42", "sample_index": 66, "seed": 42, "prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_42_In a bustling school hallway two teenagers stand f.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Clothing)\", \"reason_1\": \"Video 1 correctly depicts the subject in the black jacket wearing sneakers (visible in the wide shot).\", \"reason_2\": \"Video 2 fails this specific attribute; the subject in the black jacket is wearing black track pants with white stripes, not sneakers.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Escalation (Verbal to Physical)\", \"reason_1\": \"Video 1 clearly shows the progression from a verbal standoff to a physical shove, matching the prompt's narrative arc.\", \"reason_2\": \"Video 2 depicts the physical altercation, but the transition is abrupt and the action is obscured by visual glitches.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Context (Crowd & Lockers)\", \"reason_1\": \"Video 1 establishes a clear school hallway with lockers and a distinct crowd of onlookers.\", \"reason_2\": \"Video 2 also successfully generates the hallway setting and the surrounding crowd.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres more strictly to the specific clothing attributes requested in the prompt, particularly the footwear of the subject in the black jacket.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"Video 1 maintains consistent facial structures for the main subjects throughout the clip.\", \"reason_2\": \"Video 2 suffers from severe 'melting' and distortion of faces, particularly the subject in the red hoodie, whose eyes and mouth become grotesque.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The characters in Video 1 remain recognizable as the same individuals from start to finish.\", \"reason_2\": \"The subject in the red hoodie in Video 2 shifts appearance significantly, losing identity coherence during the motion.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The movement in Video 1 is relatively grounded, though slightly stiff.\", \"reason_2\": \"Video 2 exhibits jerky, unnatural motion, and the physical interaction lacks weight and proper collision physics.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains structural integrity, whereas Video 2 collapses into severe artifacts and facial distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Zoom Execution)\", \"reason_1\": \"Video 1 executes a smooth, intentional zoom-in that focuses attention on the conflict as requested.\", \"reason_2\": \"Video 2 attempts a zoom, but it is shaky and disorienting, detracting from the scene.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Readability\", \"reason_1\": \"The expressions of anger and tension are readable and fit the 'tense' description.\", \"reason_2\": \"Due to the artifacts, the emotions read as horror or confusion rather than the intended narrative anger.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 looks like a coherent scene from a movie or TV show.\", \"reason_2\": \"Video 2 is visually unappealing due to the high frequency of generation errors and distortions.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a watchable, coherent scene with a clear camera move that enhances the narrative, while Video 2 is visually disturbing due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to superior temporal stability and morphological consistency. While Video 2 attempts a more dynamic camera zoom, it suffers from catastrophic failure in facial rendering, with the subjects' features melting and distorting severely during the action. Video 1 maintains the identity and structure of the characters throughout the escalation, accurately depicts the specific clothing attributes (sneakers), and delivers a coherent narrative flow without distracting visual artifacts.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Clothing)", "reason_1": "Video 1 correctly depicts the subject in the black jacket wearing sneakers (visible in the wide shot).", "reason_2": "Video 2 fails this specific attribute; the subject in the black jacket is wearing black track pants with white stripes, not sneakers.", "score_1": 8, "score_2": 2}, {"name": "Action Escalation (Verbal to Physical)", "reason_1": "Video 1 clearly shows the progression from a verbal standoff to a physical shove, matching the prompt's narrative arc.", "reason_2": "Video 2 depicts the physical altercation, but the transition is abrupt and the action is obscured by visual glitches.", "score_1": 6, "score_2": 4}, {"name": "Environmental Context (Crowd & Lockers)", "reason_1": "Video 1 establishes a clear school hallway with lockers and a distinct crowd of onlookers.", "reason_2": "Video 2 also successfully generates the hallway setting and the surrounding crowd.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres more strictly to the specific clothing attributes requested in the prompt, particularly the footwear of the subject in the black jacket.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "Video 1 maintains consistent facial structures for the main subjects throughout the clip.", "reason_2": "Video 2 suffers from severe 'melting' and distortion of faces, particularly the subject in the red hoodie, whose eyes and mouth become grotesque.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity Persistence", "reason_1": "The characters in Video 1 remain recognizable as the same individuals from start to finish.", "reason_2": "The subject in the red hoodie in Video 2 shifts appearance significantly, losing identity coherence during the motion.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The movement in Video 1 is relatively grounded, though slightly stiff.", "reason_2": "Video 2 exhibits jerky, unnatural motion, and the physical interaction lacks weight and proper collision physics.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains structural integrity, whereas Video 2 collapses into severe artifacts and facial distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Zoom Execution)", "reason_1": "Video 1 executes a smooth, intentional zoom-in that focuses attention on the conflict as requested.", "reason_2": "Video 2 attempts a zoom, but it is shaky and disorienting, detracting from the scene.", "score_1": 7, "score_2": 3}, {"name": "Emotional Readability", "reason_1": "The expressions of anger and tension are readable and fit the 'tense' description.", "reason_2": "Due to the artifacts, the emotions read as horror or confusion rather than the intended narrative anger.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 looks like a coherent scene from a movie or TV show.", "reason_2": "Video 2 is visually unappealing due to the high frequency of generation errors and distortions.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a watchable, coherent scene with a clear camera move that enhances the narrative, while Video 2 is visually disturbing due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to superior temporal stability and morphological consistency. While Video 2 attempts a more dynamic camera zoom, it suffers from catastrophic failure in facial rendering, with the subjects' features melting and distorting severely during the action. Video 1 maintains the identity and structure of the characters throughout the escalation, accurately depicts the specific clothing attributes (sneakers), and delivers a coherent narrative flow without distracting visual artifacts.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 57.181} +{"pair_id": "068_seed_930", "sample_index": 68, "seed": 930, "prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_068_seed_930_In a bustling metropolis the camera captures the h.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition & Attribute Fidelity\", \"reason_1\": \"Video 1 clearly renders soldiers with distinct uniforms, helmets, and weapons, aligning well with the 'government forces' description.\", \"reason_2\": \"Video 2 renders the subjects as amorphous, melting blobs where uniforms and weapons are indistinguishable from the background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Smoke & Fire)\", \"reason_1\": \"Video 1 successfully integrates the 'smoke billowing' and 'burning vehicles' into a coherent 3D space with realistic lighting interactions.\", \"reason_2\": \"Video 2 includes smoke and fire, but they appear as flat, low-resolution textures that do not interact realistically with the scene geometry.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Action Specificity\", \"reason_1\": \"While Video 1 misses the specific 'radio communication' and 'citizens scrambling' details, it successfully conveys the general action of a military engagement.\", \"reason_2\": \"Video 2 fails to convey any clear narrative action due to severe visual distortion, making it impossible to identify specific behaviors like strategizing or communicating.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 provides a recognizable depiction of the prompt's core elements (soldiers, burning vehicles, chaotic street), whereas Video 2's subjects are too distorted to be semantically valid.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Integrity)\", \"reason_1\": \"The soldiers in Video 1 maintain their human form and equipment shape throughout the clip.\", \"reason_2\": \"The subjects in Video 2 constantly morph, melt, and lose their structural integrity, resembling liquid rather than solid matter.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"Video 1 features sharp textures on the walls, vehicles, and uniforms, creating a convincing photorealistic look.\", \"reason_2\": \"Video 2 is blurry, washed out, and lacks distinct texture details, resembling a low-quality glitch.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence & Physics\", \"reason_1\": \"The movement of the soldiers running in Video 1 follows basic biomechanical logic, despite some minor sliding.\", \"reason_2\": \"The motion in Video 2 is chaotic and unnatural, with figures gliding and warping rather than stepping.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains solid object permanence and high resolution, while Video 2 exhibits catastrophic failure in maintaining subject form.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Video 1 utilizes a strong perspective with foreground elements (soldiers) and background depth (buildings), creating a cinematic feel.\", \"reason_2\": \"Video 2 feels flat and cluttered, with poor separation between the subjects and the background environment.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone & Color Grading\", \"reason_1\": \"The color palette in Video 1 (dusty browns, orange fire glow) effectively evokes the 'ominous glow' and 'turmoil' described in the prompt.\", \"reason_2\": \"Video 2 has a washed-out, pinkish hue that fails to convey the dramatic tension or the specific lighting conditions requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is visually engaging and looks like a clip from a movie or high-end game.\", \"reason_2\": \"Video 2 is visually unpleasant due to the heavy artifacting and lack of clarity.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 successfully creates a cinematic 'war movie' aesthetic with depth and atmosphere, whereas Video 2 lacks artistic merit due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its significantly higher visual fidelity, morphological stability, and cinematic presentation. While both videos struggle to capture the specific narrative nuances (such as the radio communication or distinct civilian reactions), Video 1 successfully renders a coherent, photorealistic war scene with recognizable soldiers and environmental details. Video 2 suffers from severe distortion, low resolution, and a lack of subject integrity, making the scene largely unintelligible.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling metropolis, the camera captures the heart-pounding chaos as government forces engage in fierce clashes with armed rebels. Smoke billows from burning vehicles, casting a dark haze over the cityscape. Sirens wail in the distance, mingling with the sound of gunfire echoing through the streets. Citizens, faces etched with fear, scramble for safety, seeking refuge in alleyways and behind crumbling walls. The camera zooms in on a soldier, his uniform dusty and worn, as he communicates urgently through a radio. Nearby, a group of rebels, faces obscured by scarves, strategize amidst the rubble. The tension is palpable, with the city's iconic skyline silhouetted against the ominous glow of fires, painting a stark picture of turmoil and resilience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition & Attribute Fidelity", "reason_1": "Video 1 clearly renders soldiers with distinct uniforms, helmets, and weapons, aligning well with the 'government forces' description.", "reason_2": "Video 2 renders the subjects as amorphous, melting blobs where uniforms and weapons are indistinguishable from the background.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Smoke & Fire)", "reason_1": "Video 1 successfully integrates the 'smoke billowing' and 'burning vehicles' into a coherent 3D space with realistic lighting interactions.", "reason_2": "Video 2 includes smoke and fire, but they appear as flat, low-resolution textures that do not interact realistically with the scene geometry.", "score_1": 7, "score_2": 3}, {"name": "Narrative Action Specificity", "reason_1": "While Video 1 misses the specific 'radio communication' and 'citizens scrambling' details, it successfully conveys the general action of a military engagement.", "reason_2": "Video 2 fails to convey any clear narrative action due to severe visual distortion, making it impossible to identify specific behaviors like strategizing or communicating.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 provides a recognizable depiction of the prompt's core elements (soldiers, burning vehicles, chaotic street), whereas Video 2's subjects are too distorted to be semantically valid.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Integrity)", "reason_1": "The soldiers in Video 1 maintain their human form and equipment shape throughout the clip.", "reason_2": "The subjects in Video 2 constantly morph, melt, and lose their structural integrity, resembling liquid rather than solid matter.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Resolution", "reason_1": "Video 1 features sharp textures on the walls, vehicles, and uniforms, creating a convincing photorealistic look.", "reason_2": "Video 2 is blurry, washed out, and lacks distinct texture details, resembling a low-quality glitch.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence & Physics", "reason_1": "The movement of the soldiers running in Video 1 follows basic biomechanical logic, despite some minor sliding.", "reason_2": "The motion in Video 2 is chaotic and unnatural, with figures gliding and warping rather than stepping.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains solid object permanence and high resolution, while Video 2 exhibits catastrophic failure in maintaining subject form.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "Video 1 utilizes a strong perspective with foreground elements (soldiers) and background depth (buildings), creating a cinematic feel.", "reason_2": "Video 2 feels flat and cluttered, with poor separation between the subjects and the background environment.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone & Color Grading", "reason_1": "The color palette in Video 1 (dusty browns, orange fire glow) effectively evokes the 'ominous glow' and 'turmoil' described in the prompt.", "reason_2": "Video 2 has a washed-out, pinkish hue that fails to convey the dramatic tension or the specific lighting conditions requested.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is visually engaging and looks like a clip from a movie or high-end game.", "reason_2": "Video 2 is visually unpleasant due to the heavy artifacting and lack of clarity.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 successfully creates a cinematic 'war movie' aesthetic with depth and atmosphere, whereas Video 2 lacks artistic merit due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its significantly higher visual fidelity, morphological stability, and cinematic presentation. While both videos struggle to capture the specific narrative nuances (such as the radio communication or distinct civilian reactions), Video 1 successfully renders a coherent, photorealistic war scene with recognizable soldiers and environmental details. Video 2 suffers from severe distortion, low resolution, and a lack of subject integrity, making the scene largely unintelligible.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 63.868} +{"pair_id": "071_seed_310", "sample_index": 71, "seed": 310, "prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_310_A meticulously crafted wooden toy ship glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_310_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_310_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_310_A meticulously crafted wooden toy ship glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Structural Integrity (Ship & Rigging)\", \"reason_1\": \"The ship in Video 1 maintains a logical, rigid structure with distinct masts and hull throughout the clip.\", \"reason_2\": \"The ship in Video 2 suffers from severe hallucinations; the masts bend like rubber and the hull warps, failing to represent a 'meticulously crafted' object.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Window & Sunlight)\", \"reason_1\": \"Video 1 clearly depicts the requested window in the background with natural lighting streaming in, anchoring the scene in a child's room.\", \"reason_2\": \"Video 2 has a vague, blurry background where the window is barely discernible, lacking the specific environmental context requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Adherence (Zoom)\", \"reason_1\": \"Video 1 utilizes a slow pan/orbit rather than the requested 'zoom in' to reveal details.\", \"reason_2\": \"Video 2 attempts the requested zoom-in motion, moving closer to the subject, although the visual quality degrades during the movement.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 1 accurately renders the specific environmental details (window, sunlight) and maintains the structural integrity of the ship. Video 2 fails to maintain the subject's structure and lacks the clear environmental context.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Temporal Coherence)\", \"reason_1\": \"The object remains completely solid and consistent in shape throughout the video.\", \"reason_2\": \"The subject exhibits extreme morphing; the ship's geometry changes frame by frame, breaking the illusion of a solid object.\", \"score_1\": 10, \"score_2\": 0}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear textures on the wood and carpet.\", \"reason_2\": \"The video is blurry, noisy, and suffers from low-resolution artifacts.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera movement is smooth and fluid.\", \"reason_2\": \"The motion is jerky and disorienting, contributing to the distortion of the subject.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by significant artifacts, blurring, and temporal inconsistency.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting (Sunlight & Shadows)\", \"reason_1\": \"Video 1 effectively captures the 'sunlight streaming through a window' with realistic highlights and shadows on the wood.\", \"reason_2\": \"The lighting in Video 2 is flat and inconsistent, failing to evoke the specific mood of a sunlit room.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The composition is balanced, colorful, and pleasant to watch.\", \"reason_2\": \"The visual experience is unpleasant due to the heavy distortion and lack of focus.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Immersion (Childhood Adventure)\", \"reason_1\": \"The stable, clear view of the toy in a room successfully evokes the feeling of a child's playtime.\", \"reason_2\": \"The glitchy nature of the video breaks immersion, making it feel like a technical error rather than a narrative scene.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully captures the mood of a childhood memory with warm lighting and a clear composition. Video 2 is visually chaotic and unappealing.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, structural stability, and accurate depiction of the environmental context. While Video 2 attempts the requested camera zoom, it suffers from severe morphological distortion (the ship warps and bends unnaturally) and low resolution. Video 1 maintains a consistent, high-quality representation of the toy ship and the room environment, effectively capturing the lighting and atmosphere described in the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Structural Integrity (Ship & Rigging)", "reason_1": "The ship in Video 1 maintains a logical, rigid structure with distinct masts and hull throughout the clip.", "reason_2": "The ship in Video 2 suffers from severe hallucinations; the masts bend like rubber and the hull warps, failing to represent a 'meticulously crafted' object.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Window & Sunlight)", "reason_1": "Video 1 clearly depicts the requested window in the background with natural lighting streaming in, anchoring the scene in a child's room.", "reason_2": "Video 2 has a vague, blurry background where the window is barely discernible, lacking the specific environmental context requested.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Adherence (Zoom)", "reason_1": "Video 1 utilizes a slow pan/orbit rather than the requested 'zoom in' to reveal details.", "reason_2": "Video 2 attempts the requested zoom-in motion, moving closer to the subject, although the visual quality degrades during the movement.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 1 accurately renders the specific environmental details (window, sunlight) and maintains the structural integrity of the ship. Video 2 fails to maintain the subject's structure and lacks the clear environmental context.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Temporal Coherence)", "reason_1": "The object remains completely solid and consistent in shape throughout the video.", "reason_2": "The subject exhibits extreme morphing; the ship's geometry changes frame by frame, breaking the illusion of a solid object.", "score_1": 10, "score_2": 0}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear textures on the wood and carpet.", "reason_2": "The video is blurry, noisy, and suffers from low-resolution artifacts.", "score_1": 9, "score_2": 1}, {"name": "Motion Smoothness", "reason_1": "The camera movement is smooth and fluid.", "reason_2": "The motion is jerky and disorienting, contributing to the distortion of the subject.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 is plagued by significant artifacts, blurring, and temporal inconsistency.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting (Sunlight & Shadows)", "reason_1": "Video 1 effectively captures the 'sunlight streaming through a window' with realistic highlights and shadows on the wood.", "reason_2": "The lighting in Video 2 is flat and inconsistent, failing to evoke the specific mood of a sunlit room.", "score_1": 9, "score_2": 1}, {"name": "Overall Visual Appeal", "reason_1": "The composition is balanced, colorful, and pleasant to watch.", "reason_2": "The visual experience is unpleasant due to the heavy distortion and lack of focus.", "score_1": 9, "score_2": 1}, {"name": "Narrative Immersion (Childhood Adventure)", "reason_1": "The stable, clear view of the toy in a room successfully evokes the feeling of a child's playtime.", "reason_2": "The glitchy nature of the video breaks immersion, making it feel like a technical error rather than a narrative scene.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully captures the mood of a childhood memory with warm lighting and a clear composition. Video 2 is visually chaotic and unappealing.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, structural stability, and accurate depiction of the environmental context. While Video 2 attempts the requested camera zoom, it suffers from severe morphological distortion (the ship warps and bends unnaturally) and low resolution. Video 1 maintains a consistent, high-quality representation of the toy ship and the room environment, effectively capturing the lighting and atmosphere described in the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 58.307} +{"pair_id": "074_seed_42", "sample_index": 74, "seed": 42, "prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_42_In a magnificent ballroom adorned with intricate g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_42_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_42_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_42_In a magnificent ballroom adorned with intricate g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Fidelity (Ascent & Pan)\", \"reason_1\": \"Video 1 executes a clear, continuous upward tilt/pan that transitions from the dancers to the chandelier, matching the prompt's narrative flow.\", \"reason_2\": \"Video 2 lacks a distinct upward camera movement; the framing remains largely static with only minor jitter, failing to 'reveal' the chandelier through motion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Action (Graceful Dancing)\", \"reason_1\": \"The guests in Video 1 are engaged in recognizable ballroom dancing with fluid limb movements.\", \"reason_2\": \"The subjects in Video 2 are largely static or exhibit unnatural, stiff movements that do not resemble graceful dancing.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Moldings & Drapes)\", \"reason_1\": \"Video 1 clearly renders the gold moldings and velvet drapes with distinct textures and depth.\", \"reason_2\": \"Video 2 renders the environment, but the details are muddier and less distinct compared to Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately follows the specific camera movement instructions and depicts the requested actions, whereas Video 2 fails to execute the camera move and the subjects are static.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Morphological Stability\", \"reason_1\": \"While faces are imperfect, the bodies in Video 1 maintain their shape and volume during movement.\", \"reason_2\": \"Video 2 exhibits severe morphing artifacts; faces and bodies distort and melt significantly, breaking the illusion of reality.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Fluidity\", \"reason_1\": \"The motion in Video 1 is relatively smooth and consistent with the frame rate.\", \"reason_2\": \"Video 2 appears jerky and stuttery, lacking the necessary temporal coherence for a video.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Definition\", \"reason_1\": \"The image in Video 1 is sharper, with better definition on the chandelier crystals and clothing fabrics.\", \"reason_2\": \"Video 2 looks softer and more washed out, with less definition in the key elements.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 maintains better structural integrity of the subjects and smoother motion, while Video 2 suffers from severe morphing and jitter.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Flow & Reveal\", \"reason_1\": \"Video 1 successfully creates a narrative moment by revealing the grand chandelier as the focal point after establishing the scene.\", \"reason_2\": \"Video 2 lacks narrative progression; it is a static shot that fails to build the scene or guide the viewer's eye.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmosphere of Opulence\", \"reason_1\": \"The lighting and composition in Video 1 effectively convey the 'magnificent' and 'elegant' atmosphere requested.\", \"reason_2\": \"The static nature and visual artifacts in Video 2 detract significantly from the intended elegant atmosphere.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Compositional Balance\", \"reason_1\": \"Video 1 balances the crowd and the ceiling element well during the transition.\", \"reason_2\": \"Video 2 feels cluttered and lacks a clear focal point due to the static framing.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the cinematic 'reveal' described in the prompt, creating a sense of grandeur, whereas Video 2 feels like a static, low-quality loop.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the complex camera movement (ascent and pan) required by the prompt, transitioning smoothly from the dancing guests to the chandelier. Video 2 fails to perform the camera movement, remaining largely static, and suffers from significant morphological instability where the subjects' faces and bodies distort heavily.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Fidelity (Ascent & Pan)", "reason_1": "Video 1 executes a clear, continuous upward tilt/pan that transitions from the dancers to the chandelier, matching the prompt's narrative flow.", "reason_2": "Video 2 lacks a distinct upward camera movement; the framing remains largely static with only minor jitter, failing to 'reveal' the chandelier through motion.", "score_1": 9, "score_2": 1}, {"name": "Subject Action (Graceful Dancing)", "reason_1": "The guests in Video 1 are engaged in recognizable ballroom dancing with fluid limb movements.", "reason_2": "The subjects in Video 2 are largely static or exhibit unnatural, stiff movements that do not resemble graceful dancing.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Moldings & Drapes)", "reason_1": "Video 1 clearly renders the gold moldings and velvet drapes with distinct textures and depth.", "reason_2": "Video 2 renders the environment, but the details are muddier and less distinct compared to Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately follows the specific camera movement instructions and depicts the requested actions, whereas Video 2 fails to execute the camera move and the subjects are static.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Morphological Stability", "reason_1": "While faces are imperfect, the bodies in Video 1 maintain their shape and volume during movement.", "reason_2": "Video 2 exhibits severe morphing artifacts; faces and bodies distort and melt significantly, breaking the illusion of reality.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Fluidity", "reason_1": "The motion in Video 1 is relatively smooth and consistent with the frame rate.", "reason_2": "Video 2 appears jerky and stuttery, lacking the necessary temporal coherence for a video.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Definition", "reason_1": "The image in Video 1 is sharper, with better definition on the chandelier crystals and clothing fabrics.", "reason_2": "Video 2 looks softer and more washed out, with less definition in the key elements.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 maintains better structural integrity of the subjects and smoother motion, while Video 2 suffers from severe morphing and jitter.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Flow & Reveal", "reason_1": "Video 1 successfully creates a narrative moment by revealing the grand chandelier as the focal point after establishing the scene.", "reason_2": "Video 2 lacks narrative progression; it is a static shot that fails to build the scene or guide the viewer's eye.", "score_1": 9, "score_2": 1}, {"name": "Atmosphere of Opulence", "reason_1": "The lighting and composition in Video 1 effectively convey the 'magnificent' and 'elegant' atmosphere requested.", "reason_2": "The static nature and visual artifacts in Video 2 detract significantly from the intended elegant atmosphere.", "score_1": 7, "score_2": 3}, {"name": "Compositional Balance", "reason_1": "Video 1 balances the crowd and the ceiling element well during the transition.", "reason_2": "Video 2 feels cluttered and lacks a clear focal point due to the static framing.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the cinematic 'reveal' described in the prompt, creating a sense of grandeur, whereas Video 2 feels like a static, low-quality loop.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the complex camera movement (ascent and pan) required by the prompt, transitioning smoothly from the dancing guests to the chandelier. Video 2 fails to perform the camera movement, remaining largely static, and suffers from significant morphological instability where the subjects' faces and bodies distort heavily.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 57.955} +{"pair_id": "076_seed_930", "sample_index": 76, "seed": 930, "prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_076_seed_930_The camera soars above a lively medieval marketpla.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Era-Specific Subject Fidelity\", \"reason_1\": \"Video 1 clearly depicts a medieval setting with appropriate stalls and attire, followed by a distinct modern cityscape with skyscrapers.\", \"reason_2\": \"Video 2 fails to distinguish the eras; the 'medieval' figures wear modern jeans and t-shirts, and the 'modern' city looks like a distorted version of the same street.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Transition Logic & Morphing\", \"reason_1\": \"Video 1 executes a clear, albeit rapid, transition where the environment fundamentally changes from a market to a city.\", \"reason_2\": \"Video 2 lacks a true transition; it merely pans the camera, and the environment remains static and confusing throughout.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Stalls vs. Skyscrapers)\", \"reason_1\": \"Video 1 renders colorful fabrics and produce in the first half and glass facades in the second half.\", \"reason_2\": \"Video 2 shows vague shapes that resemble stalls but lacks the specific details of produce or fabrics, and the buildings are warped.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the two distinct eras requested. Video 2 fails to generate a medieval setting, instead showing people in modern clothing in a distorted environment.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Geometric Stability & Perspective\", \"reason_1\": \"The buildings and stalls in Video 1 maintain straight lines and logical perspective.\", \"reason_2\": \"Video 2 exhibits severe 'fisheye' distortion and warping, making the world look like it is melting.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Identity & Anatomical Consistency\", \"reason_1\": \"Subjects in Video 1 are recognizable as humans with consistent forms.\", \"reason_2\": \"Subjects in Video 2 are blurry, distorted blobs that lack distinct anatomical features.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is relatively sharp and details are discernible.\", \"reason_2\": \"The video is heavily blurred with significant motion artifacts and noise.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains structural integrity and clarity. Video 2 suffers from extreme geometric distortion, blurring, and warping.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Progression (Evolution of Eras)\", \"reason_1\": \"Video 1 successfully tells the story of time passing and the city evolving, as requested.\", \"reason_2\": \"Video 2 has no narrative progression; it is a single, confused shot with no temporal evolution.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Intent (Soaring vs. Drifting)\", \"reason_1\": \"Video 1 has a forward motion that mimics moving through the space, though it is more of a dolly than a 'soar'.\", \"reason_2\": \"Video 2 features a disorienting, spinning camera movement that induces motion sickness and lacks intent.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Contrast\", \"reason_1\": \"Video 1 captures the vibrant, colorful atmosphere of the market and the sleek, cool tones of the city.\", \"reason_2\": \"Video 2 has a muddy, washed-out color palette that fails to evoke either the vibrancy of the market or the neon of the city.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 conveys the requested narrative of evolution from past to present. Video 2 is a disorienting loop with no narrative progression.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the core narrative requirement of the prompt: a transition from a medieval marketplace to a modern cityscape. It maintains distinct visual identities for both eras. Video 2 fails completely to depict the medieval era, showing modern clothing in a distorted setting, and suffers from severe geometric warping and lack of narrative progression.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera soars above a lively medieval marketplace, capturing vibrant stalls brimming with colorful fabrics, fresh produce, and handcrafted goods. Merchants in traditional garb enthusiastically barter with animated townsfolk, while children weave through the crowd, laughter echoing. The scene transitions smoothly, morphing into a bustling modern cityscape. Towering skyscrapers pierce the sky, their glass facades reflecting the vibrant hues of neon lights. The streets below teem with life, cars weaving through traffic, and pedestrians navigating the urban jungle. The juxtaposition of eras highlights the evolution of commerce and community, from quaint cobblestones to sleek, illuminated avenues.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Era-Specific Subject Fidelity", "reason_1": "Video 1 clearly depicts a medieval setting with appropriate stalls and attire, followed by a distinct modern cityscape with skyscrapers.", "reason_2": "Video 2 fails to distinguish the eras; the 'medieval' figures wear modern jeans and t-shirts, and the 'modern' city looks like a distorted version of the same street.", "score_1": 9, "score_2": 1}, {"name": "Transition Logic & Morphing", "reason_1": "Video 1 executes a clear, albeit rapid, transition where the environment fundamentally changes from a market to a city.", "reason_2": "Video 2 lacks a true transition; it merely pans the camera, and the environment remains static and confusing throughout.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Stalls vs. Skyscrapers)", "reason_1": "Video 1 renders colorful fabrics and produce in the first half and glass facades in the second half.", "reason_2": "Video 2 shows vague shapes that resemble stalls but lacks the specific details of produce or fabrics, and the buildings are warped.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the two distinct eras requested. Video 2 fails to generate a medieval setting, instead showing people in modern clothing in a distorted environment.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Geometric Stability & Perspective", "reason_1": "The buildings and stalls in Video 1 maintain straight lines and logical perspective.", "reason_2": "Video 2 exhibits severe 'fisheye' distortion and warping, making the world look like it is melting.", "score_1": 9, "score_2": 1}, {"name": "Subject Identity & Anatomical Consistency", "reason_1": "Subjects in Video 1 are recognizable as humans with consistent forms.", "reason_2": "Subjects in Video 2 are blurry, distorted blobs that lack distinct anatomical features.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is relatively sharp and details are discernible.", "reason_2": "The video is heavily blurred with significant motion artifacts and noise.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains structural integrity and clarity. Video 2 suffers from extreme geometric distortion, blurring, and warping.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Progression (Evolution of Eras)", "reason_1": "Video 1 successfully tells the story of time passing and the city evolving, as requested.", "reason_2": "Video 2 has no narrative progression; it is a single, confused shot with no temporal evolution.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Intent (Soaring vs. Drifting)", "reason_1": "Video 1 has a forward motion that mimics moving through the space, though it is more of a dolly than a 'soar'.", "reason_2": "Video 2 features a disorienting, spinning camera movement that induces motion sickness and lacks intent.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Contrast", "reason_1": "Video 1 captures the vibrant, colorful atmosphere of the market and the sleek, cool tones of the city.", "reason_2": "Video 2 has a muddy, washed-out color palette that fails to evoke either the vibrancy of the market or the neon of the city.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 conveys the requested narrative of evolution from past to present. Video 2 is a disorienting loop with no narrative progression.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the core narrative requirement of the prompt: a transition from a medieval marketplace to a modern cityscape. It maintains distinct visual identities for both eras. Video 2 fails completely to depict the medieval era, showing modern clothing in a distorted setting, and suffers from severe geometric warping and lack of narrative progression.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 59.136} +{"pair_id": "079_seed_310", "sample_index": 79, "seed": 310, "prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_310_As the sun dips below the horizon casting a warm g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_310_As the sun dips below the horizon casting a warm g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_310_As the sun dips below the horizon casting a warm g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_310_As the sun dips below the horizon casting a warm g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Presence (Hut & Greenery)\", \"reason_1\": \"Video 1 clearly features the hut and lush greenery as requested.\", \"reason_2\": \"Video 2 also successfully includes the hut and greenery, placing them in a similar spatial arrangement.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Atmospheric Lighting (Golden Glow)\", \"reason_1\": \"Video 1 perfectly renders the 'warm golden glow' and 'vibrant hues' described, creating a rich sunset atmosphere.\", \"reason_2\": \"Video 2 has a flatter, cooler color palette that lacks the intense golden warmth specified in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Swaying & Caressing)\", \"reason_1\": \"Video 1 depicts the palm fronds 'swaying gracefully' and waves 'caressing' the shore with distinct, rhythmic motion.\", \"reason_2\": \"Video 2 is nearly static; the movement is so minimal it fails to convey the 'rustling' or 'swaying' described.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the specific atmospheric and motion-based requirements of the prompt much better than Video 2, particularly regarding the 'golden glow' and the 'swaying' of the fronds.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Motion Magnitude & Fluidity\", \"reason_1\": \"Video 1 displays fluid, continuous motion in the water and trees, characteristic of a high-quality video generation.\", \"reason_2\": \"Video 2 has almost zero perceptible motion, resembling a still photograph rather than a video.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 maintains good sharpness and texture detail in the water foam and palm leaves.\", \"reason_2\": \"Video 2 is clear but lacks the textural depth seen in Video 1, appearing slightly more washed out.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Physics Plausibility (Water/Wind)\", \"reason_1\": \"The wave movement in Video 1 follows logical physical patterns of rolling onto the shore.\", \"reason_2\": \"Due to the lack of movement, Video 2 fails to demonstrate any physical plausibility regarding wind or water dynamics.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates actual video generation capabilities with fluid motion, whereas Video 2 suffers from extreme stiffness, lacking the necessary dynamic realism for a beach scene.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"Video 1 uses the palm fronds in the foreground to create a natural frame, adding depth to the shot.\", \"reason_2\": \"Video 2 has a decent composition but feels flatter and less immersive due to the lack of foreground depth.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors in Video 1 are vibrant and harmonious, effectively selling the 'sunset' aesthetic.\", \"reason_2\": \"Video 2's colors are somewhat muted and lack the dynamic range expected of a sunset scene.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Mood Evocation (Tranquility)\", \"reason_1\": \"The gentle motion in Video 1 successfully evokes the 'peace and tranquility' requested.\", \"reason_2\": \"Video 2 feels stagnant rather than tranquil; the lack of life makes it feel artificial.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a more immersive and aesthetically pleasing experience through better framing and color grading, effectively evoking the requested mood of tranquility.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully generates a dynamic video with the requested motion (swaying fronds, rolling waves) and vibrant lighting. Video 2, while semantically accurate in terms of objects, is essentially a static image with negligible movement, failing to capture the dynamic nature of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Presence (Hut & Greenery)", "reason_1": "Video 1 clearly features the hut and lush greenery as requested.", "reason_2": "Video 2 also successfully includes the hut and greenery, placing them in a similar spatial arrangement.", "score_1": 5, "score_2": 5}, {"name": "Atmospheric Lighting (Golden Glow)", "reason_1": "Video 1 perfectly renders the 'warm golden glow' and 'vibrant hues' described, creating a rich sunset atmosphere.", "reason_2": "Video 2 has a flatter, cooler color palette that lacks the intense golden warmth specified in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Swaying & Caressing)", "reason_1": "Video 1 depicts the palm fronds 'swaying gracefully' and waves 'caressing' the shore with distinct, rhythmic motion.", "reason_2": "Video 2 is nearly static; the movement is so minimal it fails to convey the 'rustling' or 'swaying' described.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the specific atmospheric and motion-based requirements of the prompt much better than Video 2, particularly regarding the 'golden glow' and the 'swaying' of the fronds.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Motion Magnitude & Fluidity", "reason_1": "Video 1 displays fluid, continuous motion in the water and trees, characteristic of a high-quality video generation.", "reason_2": "Video 2 has almost zero perceptible motion, resembling a still photograph rather than a video.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture", "reason_1": "Video 1 maintains good sharpness and texture detail in the water foam and palm leaves.", "reason_2": "Video 2 is clear but lacks the textural depth seen in Video 1, appearing slightly more washed out.", "score_1": 6, "score_2": 4}, {"name": "Physics Plausibility (Water/Wind)", "reason_1": "The wave movement in Video 1 follows logical physical patterns of rolling onto the shore.", "reason_2": "Due to the lack of movement, Video 2 fails to demonstrate any physical plausibility regarding wind or water dynamics.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates actual video generation capabilities with fluid motion, whereas Video 2 suffers from extreme stiffness, lacking the necessary dynamic realism for a beach scene.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "Video 1 uses the palm fronds in the foreground to create a natural frame, adding depth to the shot.", "reason_2": "Video 2 has a decent composition but feels flatter and less immersive due to the lack of foreground depth.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors in Video 1 are vibrant and harmonious, effectively selling the 'sunset' aesthetic.", "reason_2": "Video 2's colors are somewhat muted and lack the dynamic range expected of a sunset scene.", "score_1": 8, "score_2": 2}, {"name": "Mood Evocation (Tranquility)", "reason_1": "The gentle motion in Video 1 successfully evokes the 'peace and tranquility' requested.", "reason_2": "Video 2 feels stagnant rather than tranquil; the lack of life makes it feel artificial.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a more immersive and aesthetically pleasing experience through better framing and color grading, effectively evoking the requested mood of tranquility.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully generates a dynamic video with the requested motion (swaying fronds, rolling waves) and vibrant lighting. Video 2, while semantically accurate in terms of objects, is essentially a static image with negligible movement, failing to capture the dynamic nature of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 68.0, "total_score_2": 22.0, "elapsed_sec": 59.75} +{"pair_id": "082_seed_42", "sample_index": 82, "seed": 42, "prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_42_In a dimly lit industrial workshop a grinding whee.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Definition (Grinding Wheel)\", \"reason_1\": \"The grinding wheel is barely visible, appearing as a blurry, overexposed white mass with no discernible mechanical structure.\", \"reason_2\": \"The grinding wheel is clearly defined with distinct edges, texture, and mechanical components, anchoring the scene effectively.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Dimly Lit Workshop)\", \"reason_1\": \"The background is largely obscured by the brightness of the sparks, making the 'dimly lit' and 'shadowy' requirements difficult to perceive.\", \"reason_2\": \"The video maintains a balance where the background machinery and beams are visible in the shadows, fulfilling the 'dimly lit' and 'shadowy backdrop' criteria.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Fidelity (Sparks Cascade)\", \"reason_1\": \"Generates a massive volume of sparks, but they lack the 'intricate patterns' requested, appearing more like a chaotic noise overlay.\", \"reason_2\": \"Generates a controlled, directional cascade of sparks that clearly originate from the contact point, matching the 'mesmerizing shower' description.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts all semantic elements, including the specific machinery and the 'dimly lit' environment, whereas Video 1 obscures the subject and setting with excessive brightness.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Exposure Control & Dynamic Range\", \"reason_1\": \"The video suffers from severe overexposure (clipping) in the center, destroying all detail in the primary light source.\", \"reason_2\": \"Excellent dynamic range; the bright sparks are vivid without blowing out the image, and the shadows retain detail.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Particle Physics & Trajectory\", \"reason_1\": \"The sparks move in a somewhat random, noisy manner that feels less physically grounded in the rotation of the wheel.\", \"reason_2\": \"The sparks follow a logical, tangential trajectory consistent with the rotation of the wheel, enhancing realism.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is soft and lacks definition, particularly around the point of contact.\", \"reason_2\": \"The video is sharp, with clear textures visible on the metal surfaces and distinct separation between individual sparks.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade exposure control and particle physics, while Video 1 fails technically due to severe clipping and loss of detail.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Harmony (Fiery vs. Shadowy)\", \"reason_1\": \"The color palette is washed out by the white light, losing the contrast between the 'fiery orange' sparks and the dark background.\", \"reason_2\": \"Beautifully contrasts the warm, golden hues of the sparks against the cool, dark tones of the industrial machinery.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"The framing is tight and somewhat claustrophobic, with the subject lost in the visual noise.\", \"reason_2\": \"Uses a pleasing depth of field and composition that draws the eye to the action while providing context.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Mood (Mesmerizing Spectacle)\", \"reason_1\": \"The chaotic brightness creates a harsh rather than mesmerizing atmosphere.\", \"reason_2\": \"Successfully evokes the 'mesmerizing' quality requested by the prompt through controlled motion and lighting.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'mesmerizing' and 'cinematic' mood requested, using lighting and composition to create a visually pleasing spectacle.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Particle Rendering & Light Interaction\", \"dims\": [{\"name\": \"Spark Individuality & Detail\", \"reason_1\": \"Sparks are rendered as a dense, blurry cloud rather than distinct, detailed particles.\", \"reason_2\": \"Individual sparks are visible as distinct points of light, allowing the viewer to appreciate the 'intricate patterns' as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Light Interaction with Environment\", \"reason_1\": \"The light from the sparks does not interact realistically with the surrounding machinery; it simply overpowers it.\", \"reason_2\": \"The sparks cast realistic, dynamic reflections on the nearby metal surfaces, enhancing the sense of physical presence.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Slow-Motion Fluidity\", \"reason_1\": \"The motion is fast and frantic, lacking the graceful 'slow-motion' feel requested.\", \"reason_2\": \"The movement of the sparks feels fluid and suspended, effectively conveying the requested slow-motion aesthetic.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This personalized category evaluates the specific requirement for 'vivid detail' in the sparks. Video 2 excels in rendering individual particles and their light interactions.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it delivers a high-fidelity, cinematic interpretation of the prompt. It successfully balances the intense brightness of the sparks with the 'dimly lit' environment, maintaining excellent dynamic range and visual clarity. The sparks are rendered with distinct trajectories and realistic physics, creating the requested 'mesmerizing shower of light.' In contrast, Video 1 suffers from severe overexposure, where the sparks blow out the image details, obscuring the grinding wheel and the workshop context, resulting in a chaotic rather than mesmerizing visual.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Definition (Grinding Wheel)", "reason_1": "The grinding wheel is barely visible, appearing as a blurry, overexposed white mass with no discernible mechanical structure.", "reason_2": "The grinding wheel is clearly defined with distinct edges, texture, and mechanical components, anchoring the scene effectively.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Dimly Lit Workshop)", "reason_1": "The background is largely obscured by the brightness of the sparks, making the 'dimly lit' and 'shadowy' requirements difficult to perceive.", "reason_2": "The video maintains a balance where the background machinery and beams are visible in the shadows, fulfilling the 'dimly lit' and 'shadowy backdrop' criteria.", "score_1": 3, "score_2": 7}, {"name": "Action Fidelity (Sparks Cascade)", "reason_1": "Generates a massive volume of sparks, but they lack the 'intricate patterns' requested, appearing more like a chaotic noise overlay.", "reason_2": "Generates a controlled, directional cascade of sparks that clearly originate from the contact point, matching the 'mesmerizing shower' description.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts all semantic elements, including the specific machinery and the 'dimly lit' environment, whereas Video 1 obscures the subject and setting with excessive brightness.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Exposure Control & Dynamic Range", "reason_1": "The video suffers from severe overexposure (clipping) in the center, destroying all detail in the primary light source.", "reason_2": "Excellent dynamic range; the bright sparks are vivid without blowing out the image, and the shadows retain detail.", "score_1": 1, "score_2": 9}, {"name": "Particle Physics & Trajectory", "reason_1": "The sparks move in a somewhat random, noisy manner that feels less physically grounded in the rotation of the wheel.", "reason_2": "The sparks follow a logical, tangential trajectory consistent with the rotation of the wheel, enhancing realism.", "score_1": 3, "score_2": 7}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is soft and lacks definition, particularly around the point of contact.", "reason_2": "The video is sharp, with clear textures visible on the metal surfaces and distinct separation between individual sparks.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade exposure control and particle physics, while Video 1 fails technically due to severe clipping and loss of detail.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Harmony (Fiery vs. Shadowy)", "reason_1": "The color palette is washed out by the white light, losing the contrast between the 'fiery orange' sparks and the dark background.", "reason_2": "Beautifully contrasts the warm, golden hues of the sparks against the cool, dark tones of the industrial machinery.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Framing & Focus", "reason_1": "The framing is tight and somewhat claustrophobic, with the subject lost in the visual noise.", "reason_2": "Uses a pleasing depth of field and composition that draws the eye to the action while providing context.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Mood (Mesmerizing Spectacle)", "reason_1": "The chaotic brightness creates a harsh rather than mesmerizing atmosphere.", "reason_2": "Successfully evokes the 'mesmerizing' quality requested by the prompt through controlled motion and lighting.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'mesmerizing' and 'cinematic' mood requested, using lighting and composition to create a visually pleasing spectacle.", "cat_winner": "Video 2"}, {"name": "D. Particle Rendering & Light Interaction", "dims": [{"name": "Spark Individuality & Detail", "reason_1": "Sparks are rendered as a dense, blurry cloud rather than distinct, detailed particles.", "reason_2": "Individual sparks are visible as distinct points of light, allowing the viewer to appreciate the 'intricate patterns' as requested.", "score_1": 2, "score_2": 8}, {"name": "Light Interaction with Environment", "reason_1": "The light from the sparks does not interact realistically with the surrounding machinery; it simply overpowers it.", "reason_2": "The sparks cast realistic, dynamic reflections on the nearby metal surfaces, enhancing the sense of physical presence.", "score_1": 3, "score_2": 7}, {"name": "Slow-Motion Fluidity", "reason_1": "The motion is fast and frantic, lacking the graceful 'slow-motion' feel requested.", "reason_2": "The movement of the sparks feels fluid and suspended, effectively conveying the requested slow-motion aesthetic.", "score_1": 4, "score_2": 6}], "cat_reason": "This personalized category evaluates the specific requirement for 'vivid detail' in the sparks. Video 2 excels in rendering individual particles and their light interactions.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it delivers a high-fidelity, cinematic interpretation of the prompt. It successfully balances the intense brightness of the sparks with the 'dimly lit' environment, maintaining excellent dynamic range and visual clarity. The sparks are rendered with distinct trajectories and realistic physics, creating the requested 'mesmerizing shower of light.' In contrast, Video 1 suffers from severe overexposure, where the sparks blow out the image details, obscuring the grinding wheel and the workshop context, resulting in a chaotic rather than mesmerizing visual.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 32.0, "total_score_2": 88.0, "elapsed_sec": 76.699} +{"pair_id": "084_seed_930", "sample_index": 84, "seed": 930, "prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_084_seed_930_A man wearing a rugged outdoor jacket and cargo pa.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attire & Appearance\", \"reason_1\": \"Video 1 correctly depicts the rugged jacket and cargo pants, though the textures are somewhat muddy.\", \"reason_2\": \"Video 2 also correctly depicts the attire with slightly better definition on the jacket's material.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Facial Expression Fidelity\", \"reason_1\": \"The subject's face in Video 1 is heavily distorted and morphs constantly, failing to convey a readable 'intense, wide-eyed' expression.\", \"reason_2\": \"Video 2 maintains a consistent facial structure that clearly conveys the requested intensity and wide-eyed urgency.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Lighting (Dappled Sunlight)\", \"reason_1\": \"Video 1 has flat, diffuse lighting that misses the specific instruction for 'dappled patterns' on the face.\", \"reason_2\": \"Video 2 successfully renders high-contrast lighting with distinct highlights and shadows on the subject's face, matching the 'sunlight filters through' description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Context (Sprinting/Urgency)\", \"reason_1\": \"The subject is running, but the motion feels slightly floaty and lacks the visceral sense of 'navigating uneven terrain'.\", \"reason_2\": \"The subject's body language and the camera shake in Video 2 better convey the physical exertion and urgency of a sprint.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific lighting and expression requirements much better than Video 1, which struggles to render a coherent face.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's face changes shape and features significantly throughout the clip, breaking immersion completely.\", \"reason_2\": \"The subject's identity remains consistent and recognizable from the first frame to the last.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 exhibits severe warping artifacts, particularly around the hands and face, where the subject appears to melt.\", \"reason_2\": \"Video 2 maintains solid structural integrity of the subject's body and clothing during rapid movement.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is soft and lacks definition, appearing somewhat low-resolution.\", \"reason_2\": \"The video is sharper with better definition of textures in the forest and clothing.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 is technically superior, maintaining subject identity and structural integrity, whereas Video 1 suffers from severe hallucinations and warping.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Motion Blur (Speed Emphasis)\", \"reason_1\": \"Video 1 attempts motion blur, but it results in a messy, smeary look rather than a stylistic emphasis on speed.\", \"reason_2\": \"Video 2 uses directional blur on the background trees effectively to create a sense of speed while keeping the subject relatively sharp.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Atmospheric Tension & Mood\", \"reason_1\": \"The mood is dampened by the technical artifacts, making it feel more like a glitchy render than a tense narrative scene.\", \"reason_2\": \"The combination of lighting, expression, and camera movement successfully evokes the 'adrenaline' and 'tension' described in the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Work & Framing\", \"reason_1\": \"The camera follows the subject but feels disconnected from the action.\", \"reason_2\": \"The camera movement feels more organic, simulating a handheld or stabilized chase shot that enhances the realism.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 effectively uses cinematic techniques like motion blur and lighting to create the requested mood, while Video 1 feels like a raw, unpolished generation.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, temporal stability, and semantic accuracy. While both videos depict the correct subject and setting, Video 2 maintains a consistent facial identity and successfully renders the specific lighting effects (dappled sunlight) requested in the prompt. Video 1 suffers from severe morphological instability, with the subject's face and body warping noticeably, and lacks the cinematic lighting and motion blur that gives Video 2 its sense of urgency and speed.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man, wearing a rugged outdoor jacket and cargo pants, sprints through a dense forest, the camera capturing his intense, wide-eyed expressions as he navigates the uneven terrain. His breath is visible in the crisp air, and the sound of crunching leaves and snapping twigs accompanies his hurried pace. The towering trees, with their thick trunks and branches, blur into streaks of green and brown, emphasizing his speed and urgency. Sunlight filters through the canopy, casting dappled patterns on his face, highlighting his determination and the adrenaline coursing through him. His rapid heartbeat echoes, underscoring the tension of his wild dash through the wilderness.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attire & Appearance", "reason_1": "Video 1 correctly depicts the rugged jacket and cargo pants, though the textures are somewhat muddy.", "reason_2": "Video 2 also correctly depicts the attire with slightly better definition on the jacket's material.", "score_1": 5, "score_2": 5}, {"name": "Facial Expression Fidelity", "reason_1": "The subject's face in Video 1 is heavily distorted and morphs constantly, failing to convey a readable 'intense, wide-eyed' expression.", "reason_2": "Video 2 maintains a consistent facial structure that clearly conveys the requested intensity and wide-eyed urgency.", "score_1": 2, "score_2": 8}, {"name": "Environmental Lighting (Dappled Sunlight)", "reason_1": "Video 1 has flat, diffuse lighting that misses the specific instruction for 'dappled patterns' on the face.", "reason_2": "Video 2 successfully renders high-contrast lighting with distinct highlights and shadows on the subject's face, matching the 'sunlight filters through' description.", "score_1": 3, "score_2": 7}, {"name": "Action Context (Sprinting/Urgency)", "reason_1": "The subject is running, but the motion feels slightly floaty and lacks the visceral sense of 'navigating uneven terrain'.", "reason_2": "The subject's body language and the camera shake in Video 2 better convey the physical exertion and urgency of a sprint.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific lighting and expression requirements much better than Video 1, which struggles to render a coherent face.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's face changes shape and features significantly throughout the clip, breaking immersion completely.", "reason_2": "The subject's identity remains consistent and recognizable from the first frame to the last.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "Video 1 exhibits severe warping artifacts, particularly around the hands and face, where the subject appears to melt.", "reason_2": "Video 2 maintains solid structural integrity of the subject's body and clothing during rapid movement.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is soft and lacks definition, appearing somewhat low-resolution.", "reason_2": "The video is sharper with better definition of textures in the forest and clothing.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 is technically superior, maintaining subject identity and structural integrity, whereas Video 1 suffers from severe hallucinations and warping.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Motion Blur (Speed Emphasis)", "reason_1": "Video 1 attempts motion blur, but it results in a messy, smeary look rather than a stylistic emphasis on speed.", "reason_2": "Video 2 uses directional blur on the background trees effectively to create a sense of speed while keeping the subject relatively sharp.", "score_1": 3, "score_2": 7}, {"name": "Atmospheric Tension & Mood", "reason_1": "The mood is dampened by the technical artifacts, making it feel more like a glitchy render than a tense narrative scene.", "reason_2": "The combination of lighting, expression, and camera movement successfully evokes the 'adrenaline' and 'tension' described in the prompt.", "score_1": 3, "score_2": 7}, {"name": "Camera Work & Framing", "reason_1": "The camera follows the subject but feels disconnected from the action.", "reason_2": "The camera movement feels more organic, simulating a handheld or stabilized chase shot that enhances the realism.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 effectively uses cinematic techniques like motion blur and lighting to create the requested mood, while Video 1 feels like a raw, unpolished generation.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, temporal stability, and semantic accuracy. While both videos depict the correct subject and setting, Video 2 maintains a consistent facial identity and successfully renders the specific lighting effects (dappled sunlight) requested in the prompt. Video 1 suffers from severe morphological instability, with the subject's face and body warping noticeably, and lacks the cinematic lighting and motion blur that gives Video 2 its sense of urgency and speed.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 30.0, "total_score_2": 70.0, "elapsed_sec": 64.748} +{"pair_id": "087_seed_310", "sample_index": 87, "seed": 310, "prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_310_A striking woman dressed head-to-toe in vibrant or.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_310_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_310_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_310_A striking woman dressed head-to-toe in vibrant or.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Expression & Emotional Tone\", \"reason_1\": \"Video 1 perfectly captures the 'serene yet powerful' expression requested, with a calm and dignified demeanor.\", \"reason_2\": \"Video 2 fails completely; the subject's face is heavily distorted and morphing, creating a disturbing rather than serene atmosphere.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attire Color & Coverage\", \"reason_1\": \"Video 1 features a full-length dress that covers the subject from neck to ankle, aligning well with the 'head-to-toe' description.\", \"reason_2\": \"Video 2 depicts a two-piece outfit with a bare midriff. While the color is correct, the lack of coverage contradicts the 'head-to-toe' implication.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Rainforest & Flora)\", \"reason_1\": \"Video 1 depicts a lush, dense rainforest with appropriate flora and lighting.\", \"reason_2\": \"Video 2 also generates a convincing rainforest environment with tall trees and colorful plants, matching the prompt well.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 accurately captures the specific emotional tone and attire coverage requested, whereas Video 2 fails to render the requested expression and provides a less accurate outfit style.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Identity & Morphological Stability\", \"reason_1\": \"The subject's face remains consistent, recognizable, and anatomically correct throughout the clip.\", \"reason_2\": \"The subject's face suffers from severe 'melting' and distortion artifacts, losing all structural integrity as the video progresses.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity (Body Structure)\", \"reason_1\": \"The body proportions and posture remain natural and realistic.\", \"reason_2\": \"The subject's torso and midriff area exhibit unnatural warping and shifting textures during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with well-defined textures on the dress and foliage.\", \"reason_2\": \"The video appears softer and suffers from generation noise, particularly around the subject's features.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"This is the deciding category. Video 1 maintains a stable, high-quality image, while Video 2 exhibits severe hallucinations and morphological breakdown of the subject.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Angle & Composition\", \"reason_1\": \"Effectively uses the low angle to make the subject look powerful against the towering trees.\", \"reason_2\": \"Also utilizes a strong low angle that emphasizes the height of the trees and the subject's presence.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Atmospheric Harmony & Mood\", \"reason_1\": \"Successfully creates the 'enchanting atmosphere' and 'harmony' described in the prompt.\", \"reason_2\": \"The mood is ruined by the uncanny valley effect of the distorted face, breaking any sense of harmony.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Contrast & Vibrancy\", \"reason_1\": \"The vibrant orange contrasts beautifully and cleanly against the deep greens of the forest.\", \"reason_2\": \"While the colors are present, the contrast is less effective due to the muddy textures and lack of definition in the subject.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 delivers a cohesive and aesthetically pleasing shot that matches the 'mesmerizing' description. Video 2's aesthetic value is negated by the visual glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior stability and semantic accuracy. It successfully renders a 'serene yet powerful' expression and a stable human form, whereas Video 2 suffers from catastrophic facial distortion and morphological instability that destroys the intended mood. Video 1 also adheres better to the 'head-to-toe' attire description.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Expression & Emotional Tone", "reason_1": "Video 1 perfectly captures the 'serene yet powerful' expression requested, with a calm and dignified demeanor.", "reason_2": "Video 2 fails completely; the subject's face is heavily distorted and morphing, creating a disturbing rather than serene atmosphere.", "score_1": 9, "score_2": 1}, {"name": "Attire Color & Coverage", "reason_1": "Video 1 features a full-length dress that covers the subject from neck to ankle, aligning well with the 'head-to-toe' description.", "reason_2": "Video 2 depicts a two-piece outfit with a bare midriff. While the color is correct, the lack of coverage contradicts the 'head-to-toe' implication.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Rainforest & Flora)", "reason_1": "Video 1 depicts a lush, dense rainforest with appropriate flora and lighting.", "reason_2": "Video 2 also generates a convincing rainforest environment with tall trees and colorful plants, matching the prompt well.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 accurately captures the specific emotional tone and attire coverage requested, whereas Video 2 fails to render the requested expression and provides a less accurate outfit style.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Identity & Morphological Stability", "reason_1": "The subject's face remains consistent, recognizable, and anatomically correct throughout the clip.", "reason_2": "The subject's face suffers from severe 'melting' and distortion artifacts, losing all structural integrity as the video progresses.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity (Body Structure)", "reason_1": "The body proportions and posture remain natural and realistic.", "reason_2": "The subject's torso and midriff area exhibit unnatural warping and shifting textures during movement.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with well-defined textures on the dress and foliage.", "reason_2": "The video appears softer and suffers from generation noise, particularly around the subject's features.", "score_1": 7, "score_2": 3}], "cat_reason": "This is the deciding category. Video 1 maintains a stable, high-quality image, while Video 2 exhibits severe hallucinations and morphological breakdown of the subject.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Angle & Composition", "reason_1": "Effectively uses the low angle to make the subject look powerful against the towering trees.", "reason_2": "Also utilizes a strong low angle that emphasizes the height of the trees and the subject's presence.", "score_1": 5, "score_2": 5}, {"name": "Atmospheric Harmony & Mood", "reason_1": "Successfully creates the 'enchanting atmosphere' and 'harmony' described in the prompt.", "reason_2": "The mood is ruined by the uncanny valley effect of the distorted face, breaking any sense of harmony.", "score_1": 8, "score_2": 2}, {"name": "Color Contrast & Vibrancy", "reason_1": "The vibrant orange contrasts beautifully and cleanly against the deep greens of the forest.", "reason_2": "While the colors are present, the contrast is less effective due to the muddy textures and lack of definition in the subject.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 delivers a cohesive and aesthetically pleasing shot that matches the 'mesmerizing' description. Video 2's aesthetic value is negated by the visual glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior stability and semantic accuracy. It successfully renders a 'serene yet powerful' expression and a stable human form, whereas Video 2 suffers from catastrophic facial distortion and morphological instability that destroys the intended mood. Video 1 also adheres better to the 'head-to-toe' attire description.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 65.0, "total_score_2": 25.0, "elapsed_sec": 58.832} +{"pair_id": "090_seed_42", "sample_index": 90, "seed": 42, "prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_42_In a vibrant humid rainforest a sloth leisurely tr.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Leisurely Traversing)\", \"reason_1\": \"Video 1 depicts the sloth actively moving and traversing the branch, aligning well with the prompt's instruction.\", \"reason_2\": \"Video 2 shows the sloth in a static, curled-up position with almost no movement, failing to depict the 'traversing' action.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Attribute Accuracy (Moss-Tinted Fur)\", \"reason_1\": \"Video 1 renders the fur with a distinct green, moss-like coloration as requested.\", \"reason_2\": \"Video 2 renders the fur with a more naturalistic brown and grey palette, missing the specific 'moss-tinted' instruction.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Humid Rainforest)\", \"reason_1\": \"Video 1 successfully creates a lush, green rainforest background.\", \"reason_2\": \"Video 2 also provides a convincing, dense rainforest environment with appropriate foliage.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 adheres more strictly to the specific descriptive adjectives in the prompt, particularly the 'moss-tinted' fur and the active 'traversing' motion, whereas Video 2 presents a static subject with more naturalistic coloring.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Video 1 exhibits severe anatomical failure; the sloth's limbs morph, stretch, and detach unnaturally during movement.\", \"reason_2\": \"Video 2 maintains perfect anatomical consistency throughout the clip, with no warping or distortion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Texture Fidelity (Fur & Moisture)\", \"reason_1\": \"The fur in Video 1 appears matted and plastic-like, lacking the definition of individual strands.\", \"reason_2\": \"Video 2 renders the fur with high definition, showing individual strands and a realistic wet/moist texture.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The movement in Video 1 is jerky and fluid-like in a way that defies physics (rubber-banding).\", \"reason_2\": \"Video 2 is largely static, but the subtle micro-movements (breathing, eye shifts) are physically plausible and realistic.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and texture rendering. Video 1 suffers from critical hallucinations where the subject's limbs warp and lose structural integrity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Atmosphere\", \"reason_1\": \"Video 1 has relatively flat lighting that lacks the requested 'cinematic' depth.\", \"reason_2\": \"Video 2 utilizes soft, dappled lighting that effectively creates the 'humid' and 'cinematic' atmosphere described.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Emotional Impact (Soulful/Tranquil)\", \"reason_1\": \"The chaotic morphing in Video 1 detracts from any sense of tranquility or soulfulness.\", \"reason_2\": \"The stillness and high-quality close-up in Video 2 successfully convey the 'soulful' and 'unhurried' essence of the prompt.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual appeal is low due to the distracting artifacts and unnatural motion.\", \"reason_2\": \"The video is visually pleasing, resembling a high-quality nature documentary shot.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'cinematic' and 'soulful' mood requested by the prompt through superior lighting and composition, whereas Video 1 feels flatter and more artificial.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"While Video 1 attempts to follow the specific action and color attributes of the prompt more closely, it suffers from severe morphological instability and unnatural motion. Video 2, despite being more static, delivers superior photorealism, anatomical consistency, and a much higher aesthetic quality that better captures the 'cinematic' and 'soulful' atmosphere requested.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Leisurely Traversing)", "reason_1": "Video 1 depicts the sloth actively moving and traversing the branch, aligning well with the prompt's instruction.", "reason_2": "Video 2 shows the sloth in a static, curled-up position with almost no movement, failing to depict the 'traversing' action.", "score_1": 8, "score_2": 2}, {"name": "Attribute Accuracy (Moss-Tinted Fur)", "reason_1": "Video 1 renders the fur with a distinct green, moss-like coloration as requested.", "reason_2": "Video 2 renders the fur with a more naturalistic brown and grey palette, missing the specific 'moss-tinted' instruction.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Humid Rainforest)", "reason_1": "Video 1 successfully creates a lush, green rainforest background.", "reason_2": "Video 2 also provides a convincing, dense rainforest environment with appropriate foliage.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 adheres more strictly to the specific descriptive adjectives in the prompt, particularly the 'moss-tinted' fur and the active 'traversing' motion, whereas Video 2 presents a static subject with more naturalistic coloring.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Video 1 exhibits severe anatomical failure; the sloth's limbs morph, stretch, and detach unnaturally during movement.", "reason_2": "Video 2 maintains perfect anatomical consistency throughout the clip, with no warping or distortion.", "score_1": 1, "score_2": 9}, {"name": "Texture Fidelity (Fur & Moisture)", "reason_1": "The fur in Video 1 appears matted and plastic-like, lacking the definition of individual strands.", "reason_2": "Video 2 renders the fur with high definition, showing individual strands and a realistic wet/moist texture.", "score_1": 3, "score_2": 7}, {"name": "Motion Naturalness", "reason_1": "The movement in Video 1 is jerky and fluid-like in a way that defies physics (rubber-banding).", "reason_2": "Video 2 is largely static, but the subtle micro-movements (breathing, eye shifts) are physically plausible and realistic.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade stability and texture rendering. Video 1 suffers from critical hallucinations where the subject's limbs warp and lose structural integrity.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Atmosphere", "reason_1": "Video 1 has relatively flat lighting that lacks the requested 'cinematic' depth.", "reason_2": "Video 2 utilizes soft, dappled lighting that effectively creates the 'humid' and 'cinematic' atmosphere described.", "score_1": 3, "score_2": 7}, {"name": "Emotional Impact (Soulful/Tranquil)", "reason_1": "The chaotic morphing in Video 1 detracts from any sense of tranquility or soulfulness.", "reason_2": "The stillness and high-quality close-up in Video 2 successfully convey the 'soulful' and 'unhurried' essence of the prompt.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The visual appeal is low due to the distracting artifacts and unnatural motion.", "reason_2": "The video is visually pleasing, resembling a high-quality nature documentary shot.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'cinematic' and 'soulful' mood requested by the prompt through superior lighting and composition, whereas Video 1 feels flatter and more artificial.", "cat_winner": "Video 2"}], "reason": "While Video 1 attempts to follow the specific action and color attributes of the prompt more closely, it suffers from severe morphological instability and unnatural motion. Video 2, despite being more static, delivers superior photorealism, anatomical consistency, and a much higher aesthetic quality that better captures the 'cinematic' and 'soulful' atmosphere requested.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 34.0, "total_score_2": 56.0, "elapsed_sec": 61.365} +{"pair_id": "092_seed_930", "sample_index": 92, "seed": 930, "prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_092_seed_930_A daring surfer clad in gleaming medieval armor ex.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Armor & Visor)\", \"reason_1\": \"Video 1 features a helmet with a reflective visor as requested, though the armor texture is somewhat smooth and plastic-like.\", \"reason_2\": \"Video 2 features highly detailed armor with visible engravings, but the visor is open, revealing the face rather than reflecting the lava as explicitly requested.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Interaction (Sparks & Heat)\", \"reason_1\": \"Video 1 depicts the lava as a flat, blurry surface with minimal interaction or particle effects.\", \"reason_2\": \"Video 2 successfully generates the 'sparks into the air' and the 'intense heat shimmering' described in the prompt, creating a convincing volcanic atmosphere.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Logic (Surfing Maneuver)\", \"reason_1\": \"The subject in Video 1 appears to be sliding or floating rather than actively surfing; the board interaction is vague.\", \"reason_2\": \"Video 2 conveys a sense of speed and balance consistent with 'expertly navigating' a turbulent flow.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 captures the environmental complexity (sparks, heat) and the action (maneuvering) far better than Video 1, despite Video 1 adhering slightly better to the specific 'visor' instruction.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Material Textures (Metal & Lava)\", \"reason_1\": \"The armor looks like smooth plastic or low-poly CGI, and the lava lacks the texture of molten rock.\", \"reason_2\": \"The armor has realistic metallic sheen and weathering; the lava has depth, viscosity, and realistic lighting interactions.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Physics & Particle Simulation\", \"reason_1\": \"Lacks dynamic physics; the environment feels static and disconnected from the subject.\", \"reason_2\": \"Excellent particle simulation with flying sparks and debris that react to the subject's movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is soft and lacks definition, particularly in the background elements.\", \"reason_2\": \"The video is sharp, with clear details in the armor engravings and the surrounding environment.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates a generational leap in quality over Video 1, offering realistic textures, lighting, and particle physics compared to Video 1's low-resolution, game-engine aesthetic.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Intensity (Heat & Power)\", \"reason_1\": \"Fails to convey the 'intense heat' or 'elemental power'; the scene feels sterile.\", \"reason_2\": \"Successfully creates a suffocating, high-energy atmosphere through lighting, color grading, and particle effects.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Cinematic Framing & Camera Motion\", \"reason_1\": \"The camera movement is somewhat floaty and lacks the intensity of a chase shot.\", \"reason_2\": \"The camera follows closely and dynamically, enhancing the sense of speed and danger.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Visually uninteresting due to flat lighting and low-detail assets.\", \"reason_2\": \"Aesthetically striking with high contrast, rich colors, and a professional cinematic look.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 delivers the 'breathtaking scene' requested by the prompt through superior lighting, color grading, and dynamic framing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is significantly superior in terms of visual fidelity, dynamic realism, and atmospheric intensity. While Video 1 adheres strictly to the 'visor' constraint, it suffers from low-quality textures and a lack of environmental interaction. Video 2 successfully renders the 'sparks,' 'heat shimmer,' and 'intricate engravings' with cinematic quality, creating the requested breathtaking scene of elemental power.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A daring surfer clad in gleaming medieval armor expertly navigates a molten lava flow, the intense heat shimmering around him. The camera follows closely, capturing the surreal juxtaposition of metal against the fiery backdrop. His visor reflects the glowing red and orange hues of the lava, while the armor's intricate engravings glint in the volcanic light. As he maneuvers skillfully, the molten rock crackles beneath his board, sending sparks into the air. The camera captures every detail, from the heat waves distorting the air to the intense focus in his eyes, creating a breathtaking scene of bravery and elemental power.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Armor & Visor)", "reason_1": "Video 1 features a helmet with a reflective visor as requested, though the armor texture is somewhat smooth and plastic-like.", "reason_2": "Video 2 features highly detailed armor with visible engravings, but the visor is open, revealing the face rather than reflecting the lava as explicitly requested.", "score_1": 6, "score_2": 4}, {"name": "Environmental Interaction (Sparks & Heat)", "reason_1": "Video 1 depicts the lava as a flat, blurry surface with minimal interaction or particle effects.", "reason_2": "Video 2 successfully generates the 'sparks into the air' and the 'intense heat shimmering' described in the prompt, creating a convincing volcanic atmosphere.", "score_1": 2, "score_2": 8}, {"name": "Action Logic (Surfing Maneuver)", "reason_1": "The subject in Video 1 appears to be sliding or floating rather than actively surfing; the board interaction is vague.", "reason_2": "Video 2 conveys a sense of speed and balance consistent with 'expertly navigating' a turbulent flow.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 captures the environmental complexity (sparks, heat) and the action (maneuvering) far better than Video 1, despite Video 1 adhering slightly better to the specific 'visor' instruction.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Material Textures (Metal & Lava)", "reason_1": "The armor looks like smooth plastic or low-poly CGI, and the lava lacks the texture of molten rock.", "reason_2": "The armor has realistic metallic sheen and weathering; the lava has depth, viscosity, and realistic lighting interactions.", "score_1": 2, "score_2": 8}, {"name": "Physics & Particle Simulation", "reason_1": "Lacks dynamic physics; the environment feels static and disconnected from the subject.", "reason_2": "Excellent particle simulation with flying sparks and debris that react to the subject's movement.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is soft and lacks definition, particularly in the background elements.", "reason_2": "The video is sharp, with clear details in the armor engravings and the surrounding environment.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates a generational leap in quality over Video 1, offering realistic textures, lighting, and particle physics compared to Video 1's low-resolution, game-engine aesthetic.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Intensity (Heat & Power)", "reason_1": "Fails to convey the 'intense heat' or 'elemental power'; the scene feels sterile.", "reason_2": "Successfully creates a suffocating, high-energy atmosphere through lighting, color grading, and particle effects.", "score_1": 2, "score_2": 8}, {"name": "Cinematic Framing & Camera Motion", "reason_1": "The camera movement is somewhat floaty and lacks the intensity of a chase shot.", "reason_2": "The camera follows closely and dynamically, enhancing the sense of speed and danger.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "Visually uninteresting due to flat lighting and low-detail assets.", "reason_2": "Aesthetically striking with high contrast, rich colors, and a professional cinematic look.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 delivers the 'breathtaking scene' requested by the prompt through superior lighting, color grading, and dynamic framing.", "cat_winner": "Video 2"}], "reason": "Video 2 is significantly superior in terms of visual fidelity, dynamic realism, and atmospheric intensity. While Video 1 adheres strictly to the 'visor' constraint, it suffers from low-quality textures and a lack of environmental interaction. Video 2 successfully renders the 'sparks,' 'heat shimmer,' and 'intricate engravings' with cinematic quality, creating the requested breathtaking scene of elemental power.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 59.932} +{"pair_id": "095_seed_310", "sample_index": 95, "seed": 310, "prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_310_The camera begins its ascent from a bustling urban.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_310_The camera begins its ascent from a bustling urban.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_310_The camera begins its ascent from a bustling urban.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_310_The camera begins its ascent from a bustling urban.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory (Ascent & Reveal)\", \"reason_1\": \"Video 1 executes a clear vertical ascent, starting from the street level and rising to reveal the building facade and sky, matching the prompt's core action.\", \"reason_2\": \"Video 2 is essentially a static shot with no perceptible vertical ascent or change in perspective.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Context (Rain & Reflections)\", \"reason_1\": \"Video 1 clearly depicts the 'rain-slicked pavements' with distinct, colorful reflections of the streetlights, creating the requested atmosphere.\", \"reason_2\": \"Video 2 shows a wet surface, but the reflections are muddy and lack the distinct 'colorful' quality requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Presence (Bustling Energy)\", \"reason_1\": \"Video 1 includes visible cars and pedestrians, attempting to capture the 'vibrant energy' and 'bustling' nature of the street.\", \"reason_2\": \"Video 2 depicts a largely empty street with no discernible pedestrians or active traffic, failing the 'bustling' requirement.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting Transition (Warm to Cool)\", \"reason_1\": \"Video 1 maintains a consistent lighting tone and does not effectively show the requested transition from warm sunset hues to cool twilight blues.\", \"reason_2\": \"Video 2 also fails to show a transition, remaining in a static blue-tinted night setting throughout.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 follows the critical instruction of camera movement (ascent) and environmental details (rain, traffic), whereas Video 2 ignores the movement and lacks the requested subject activity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is quite blurry and low-resolution, with significant loss of detail in the background elements.\", \"reason_2\": \"Video 2 is significantly sharper and cleaner, with better definition of the buildings and lights.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Motion Smoothness & Stability\", \"reason_1\": \"Video 1 exhibits some jitter and warping artifacts as the camera moves upward.\", \"reason_2\": \"Video 2 is very stable, though this is largely due to the lack of significant camera movement.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Lighting Realism\", \"reason_1\": \"The lighting in Video 1, particularly the reflections on the wet asphalt, feels physically plausible and grounded.\", \"reason_2\": \"The lighting in Video 2 feels somewhat flat and artificial, lacking the dynamic contrast expected of a city night scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 offers a cleaner, sharper image with less noise, whereas Video 1 suffers from blurriness and lower resolution, despite having better motion dynamics.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Camera Movement\", \"reason_1\": \"Video 1 utilizes a dynamic tilt-up/boom-up shot that effectively changes the viewer's perspective, adding cinematic value.\", \"reason_2\": \"Video 2 lacks any cinematic camera movement, resulting in a static and unengaging presentation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"The combination of rain, traffic, and the rising camera in Video 1 creates a strong sense of place and immersion.\", \"reason_2\": \"Video 2 feels distant and detached, lacking the immersive 'pulsing with life' quality described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Progression\", \"reason_1\": \"Video 1 has a clear beginning (street) and progression (looking up), adhering to the narrative flow of the prompt.\", \"reason_2\": \"Video 2 has no narrative progression; the start and end frames are conceptually identical.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures the cinematic intent of the prompt through its camera work, creating a sense of scale and immersion that Video 2 lacks.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner because it successfully attempts the primary narrative and cinematic instruction of the prompt: the camera ascent. It starts at street level, captures the wet pavement and traffic, and physically moves upward to reveal the building facade. Video 2, while having slightly higher image sharpness, is a static shot that completely fails to execute the requested camera movement, the bustling energy, or the transition in perspective.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory (Ascent & Reveal)", "reason_1": "Video 1 executes a clear vertical ascent, starting from the street level and rising to reveal the building facade and sky, matching the prompt's core action.", "reason_2": "Video 2 is essentially a static shot with no perceptible vertical ascent or change in perspective.", "score_1": 9, "score_2": 1}, {"name": "Environmental Context (Rain & Reflections)", "reason_1": "Video 1 clearly depicts the 'rain-slicked pavements' with distinct, colorful reflections of the streetlights, creating the requested atmosphere.", "reason_2": "Video 2 shows a wet surface, but the reflections are muddy and lack the distinct 'colorful' quality requested.", "score_1": 8, "score_2": 2}, {"name": "Subject Presence (Bustling Energy)", "reason_1": "Video 1 includes visible cars and pedestrians, attempting to capture the 'vibrant energy' and 'bustling' nature of the street.", "reason_2": "Video 2 depicts a largely empty street with no discernible pedestrians or active traffic, failing the 'bustling' requirement.", "score_1": 7, "score_2": 3}, {"name": "Lighting Transition (Warm to Cool)", "reason_1": "Video 1 maintains a consistent lighting tone and does not effectively show the requested transition from warm sunset hues to cool twilight blues.", "reason_2": "Video 2 also fails to show a transition, remaining in a static blue-tinted night setting throughout.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 follows the critical instruction of camera movement (ascent) and environmental details (rain, traffic), whereas Video 2 ignores the movement and lacks the requested subject activity.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is quite blurry and low-resolution, with significant loss of detail in the background elements.", "reason_2": "Video 2 is significantly sharper and cleaner, with better definition of the buildings and lights.", "score_1": 3, "score_2": 7}, {"name": "Motion Smoothness & Stability", "reason_1": "Video 1 exhibits some jitter and warping artifacts as the camera moves upward.", "reason_2": "Video 2 is very stable, though this is largely due to the lack of significant camera movement.", "score_1": 4, "score_2": 6}, {"name": "Lighting Realism", "reason_1": "The lighting in Video 1, particularly the reflections on the wet asphalt, feels physically plausible and grounded.", "reason_2": "The lighting in Video 2 feels somewhat flat and artificial, lacking the dynamic contrast expected of a city night scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 offers a cleaner, sharper image with less noise, whereas Video 1 suffers from blurriness and lower resolution, despite having better motion dynamics.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Camera Movement", "reason_1": "Video 1 utilizes a dynamic tilt-up/boom-up shot that effectively changes the viewer's perspective, adding cinematic value.", "reason_2": "Video 2 lacks any cinematic camera movement, resulting in a static and unengaging presentation.", "score_1": 9, "score_2": 1}, {"name": "Atmospheric Immersion", "reason_1": "The combination of rain, traffic, and the rising camera in Video 1 creates a strong sense of place and immersion.", "reason_2": "Video 2 feels distant and detached, lacking the immersive 'pulsing with life' quality described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Narrative Progression", "reason_1": "Video 1 has a clear beginning (street) and progression (looking up), adhering to the narrative flow of the prompt.", "reason_2": "Video 2 has no narrative progression; the start and end frames are conceptually identical.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures the cinematic intent of the prompt through its camera work, creating a sense of scale and immersion that Video 2 lacks.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner because it successfully attempts the primary narrative and cinematic instruction of the prompt: the camera ascent. It starts at street level, captures the wet pavement and traffic, and physically moves upward to reveal the building facade. Video 2, while having slightly higher image sharpness, is a static shot that completely fails to execute the requested camera movement, the bustling energy, or the transition in perspective.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 67.0, "total_score_2": 33.0, "elapsed_sec": 65.863} +{"pair_id": "098_seed_42", "sample_index": 98, "seed": 42, "prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_42_In a dimly lit studio an artist wearing a worn apr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_42_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_42_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_42_In a dimly lit studio an artist wearing a worn apr.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Glasses & Apron)\", \"reason_1\": \"Video 1 clearly depicts the artist wearing the requested glasses and a worn apron throughout the clip.\", \"reason_2\": \"Video 2 fails to render the glasses consistently; they appear and disappear or merge with the face, and the apron is less distinct.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Carving Mechanics)\", \"reason_1\": \"Video 1 shows a logical carving motion with a tool interacting with the material, even if the mallet is not explicitly visible in every frame.\", \"reason_2\": \"Video 2 depicts the tool merging with the sculpture and the hands, lacking any logical physical interaction or 'precision'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Atmosphere (Dust & Lighting)\", \"reason_1\": \"Video 1 successfully renders the 'dimly lit studio' with visible dust particles dancing in the light as requested.\", \"reason_2\": \"Video 2 has a generic lighting setup and lacks the specific atmospheric dust particles described in the prompt.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately includes all key subject attributes and environmental details, whereas Video 2 fails to maintain the presence of the glasses and the logical action of carving.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Face & Hands)\", \"reason_1\": \"The artist's face and hands remain anatomically consistent and solid throughout the video.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and warping of the face and hands, destroying any sense of realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Permanence (Sculpture Integrity)\", \"reason_1\": \"The sculpture in Video 1 maintains a consistent shape and texture (marble/clay) throughout the sequence.\", \"reason_2\": \"The sculpture in Video 2 constantly changes shape, size, and form, behaving like a liquid rather than a solid object.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 is sharp, clear, and high-resolution with realistic textures.\", \"reason_2\": \"Video 2 is blurry, noisy, and suffers from significant generation artifacts.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and realism. Video 2 is plagued by severe artifacts, warping, and a complete lack of object permanence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Focus\", \"reason_1\": \"Video 1 effectively uses depth of field to focus on the hands and then the face, creating a professional cinematic look.\", \"reason_2\": \"Video 2 has erratic framing and focus issues that make the video difficult to watch.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Emotional Expression (Focused Determination)\", \"reason_1\": \"The artist in Video 1 displays a convincing expression of concentration and passion.\", \"reason_2\": \"The facial distortions in Video 2 make it impossible to read any intended emotion, resulting in an uncanny valley effect.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Narrative Flow (Process to Result)\", \"reason_1\": \"Video 1 follows a logical progression from working on the piece to inspecting it.\", \"reason_2\": \"Video 2 is a disjointed sequence of morphing images with no clear narrative progression.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a cinematic and emotionally resonant clip that matches the prompt's tone. Video 2 is visually disturbing due to the glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is a superior generation that maintains high visual fidelity, temporal stability, and semantic accuracy throughout. It successfully renders the specific attributes (glasses, apron) and the atmospheric details (dust, lighting) requested in the prompt. In contrast, Video 2 suffers from severe morphological instability, with the subject's face and hands melting and warping significantly, and fails to maintain the structural integrity of the sculpture or the tools.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Glasses & Apron)", "reason_1": "Video 1 clearly depicts the artist wearing the requested glasses and a worn apron throughout the clip.", "reason_2": "Video 2 fails to render the glasses consistently; they appear and disappear or merge with the face, and the apron is less distinct.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Carving Mechanics)", "reason_1": "Video 1 shows a logical carving motion with a tool interacting with the material, even if the mallet is not explicitly visible in every frame.", "reason_2": "Video 2 depicts the tool merging with the sculpture and the hands, lacking any logical physical interaction or 'precision'.", "score_1": 8, "score_2": 2}, {"name": "Environmental Atmosphere (Dust & Lighting)", "reason_1": "Video 1 successfully renders the 'dimly lit studio' with visible dust particles dancing in the light as requested.", "reason_2": "Video 2 has a generic lighting setup and lacks the specific atmospheric dust particles described in the prompt.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately includes all key subject attributes and environmental details, whereas Video 2 fails to maintain the presence of the glasses and the logical action of carving.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Face & Hands)", "reason_1": "The artist's face and hands remain anatomically consistent and solid throughout the video.", "reason_2": "Video 2 exhibits severe 'melting' and warping of the face and hands, destroying any sense of realism.", "score_1": 9, "score_2": 1}, {"name": "Object Permanence (Sculpture Integrity)", "reason_1": "The sculpture in Video 1 maintains a consistent shape and texture (marble/clay) throughout the sequence.", "reason_2": "The sculpture in Video 2 constantly changes shape, size, and form, behaving like a liquid rather than a solid object.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 is sharp, clear, and high-resolution with realistic textures.", "reason_2": "Video 2 is blurry, noisy, and suffers from significant generation artifacts.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 demonstrates professional-grade stability and realism. Video 2 is plagued by severe artifacts, warping, and a complete lack of object permanence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Focus", "reason_1": "Video 1 effectively uses depth of field to focus on the hands and then the face, creating a professional cinematic look.", "reason_2": "Video 2 has erratic framing and focus issues that make the video difficult to watch.", "score_1": 8, "score_2": 2}, {"name": "Emotional Expression (Focused Determination)", "reason_1": "The artist in Video 1 displays a convincing expression of concentration and passion.", "reason_2": "The facial distortions in Video 2 make it impossible to read any intended emotion, resulting in an uncanny valley effect.", "score_1": 9, "score_2": 1}, {"name": "Narrative Flow (Process to Result)", "reason_1": "Video 1 follows a logical progression from working on the piece to inspecting it.", "reason_2": "Video 2 is a disjointed sequence of morphing images with no clear narrative progression.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a cinematic and emotionally resonant clip that matches the prompt's tone. Video 2 is visually disturbing due to the glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is a superior generation that maintains high visual fidelity, temporal stability, and semantic accuracy throughout. It successfully renders the specific attributes (glasses, apron) and the atmospheric details (dust, lighting) requested in the prompt. In contrast, Video 2 suffers from severe morphological instability, with the subject's face and hands melting and warping significantly, and fails to maintain the structural integrity of the sculpture or the tools.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 77.0, "total_score_2": 13.0, "elapsed_sec": 58.49} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6_summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..377512f5ce6cb7f12dec3b72f62e61a066503431 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6_summary.json @@ -0,0 +1,31 @@ +{ + "total": 37, + "success": 37, + "counts": { + "yw002-1-sage-baseline": 16, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 21, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.43243243243243246, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5675675675675675 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.43243243243243246, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5675675675675675 + }, + "latency_sec": { + "mean": 62.65835135135135, + "median": 59.136, + "min": 52.725, + "max": 104.89 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_6.jsonl", + "shard_count": 8, + "shard_index": 6 +} \ No newline at end of file diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7.jsonl b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3f8facab5e509c7542567df46fab039c937dd2bc --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7.jsonl @@ -0,0 +1,37 @@ +{"pair_id": "002_seed_310", "sample_index": 2, "seed": 310, "prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_002_seed_310_In a sleek modern office with glass walls and mini.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attire Color & Style Specificity\", \"reason_1\": \"Video 1 correctly depicts the navy suit and white shirt, but the second man's outfit is a dark suit rather than the requested 'charcoal blazer and light blue shirt'.\", \"reason_2\": \"Video 2 also misses the 'charcoal' tone (rendering a light grey suit), but the shirt and blazer combination is slightly more distinct and aligned with the 'blazer' description than Video 1's full suit.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Handshake Mechanics)\", \"reason_1\": \"The handshake in Video 1 is physically incoherent; the hands merge into a singular, morphing blob rather than clasping distinct fingers.\", \"reason_2\": \"Video 2 depicts a mechanically accurate handshake with distinct hands, proper grip, and realistic movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Context (Office & Lighting)\", \"reason_1\": \"Video 1 captures the glass walls and office setting but lacks the specific 'sunlight streaming' effect, resulting in flat lighting.\", \"reason_2\": \"Video 2 successfully renders the 'sunlight streaming' and 'soft glow' on the floor, creating a more accurate environmental context.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 executes the core action (handshake) with physical logic, whereas Video 1 fails to render the interaction accurately. Both videos struggle slightly with the specific 'charcoal blazer' instruction, but Video 2's overall scene composition is more aligned with the prompt's descriptive richness.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Identity Persistence\", \"reason_1\": \"The faces in Video 1 are heavily distorted, with unnatural features and a 'plastic' appearance that degrades over time.\", \"reason_2\": \"Video 2 maintains high-fidelity, photorealistic faces with consistent identity and natural expressions throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability (Hands & Limbs)\", \"reason_1\": \"Video 1 exhibits severe morphing artifacts where the subjects' hands and arms lose their shape during the interaction.\", \"reason_2\": \"Video 2 maintains solid structural integrity of the subjects' bodies and hands during motion.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"The image is soft, lacking detail in fabric textures, and has a lower perceived resolution.\", \"reason_2\": \"The video is sharp, with realistic textures visible in the suit fabrics, skin, and background elements.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This is the most significant differentiator. Video 2 achieves near-photorealism, while Video 1 displays characteristic low-quality AI artifacts such as facial distortion and texture blurring.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Authenticity (Warmth & Camaraderie)\", \"reason_1\": \"The distorted smiles and unnatural eye contact create an 'uncanny valley' effect that fails to convey genuine warmth.\", \"reason_2\": \"The subjects exhibit natural, human-like smiles and body language that effectively communicate the requested camaraderie.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting Atmosphere & Mood\", \"reason_1\": \"The lighting is functional but flat, failing to evoke the 'soft glow' or 'sleek' atmosphere described.\", \"reason_2\": \"The lighting is dynamic and cinematic, effectively using the sunlight to create a professional and positive mood.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to the heavy artifacts and lack of realism.\", \"reason_2\": \"The video is aesthetically pleasing, resembling high-quality stock footage suitable for professional use.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully conveys the requested mood of 'warmth and camaraderie' through realistic acting and lighting, whereas Video 1's uncanny visuals detract from the intended emotional tone.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in terms of photorealism, anatomical consistency, and lighting quality. While both videos struggle slightly with the specific color palette of the second man's attire, Video 2 delivers a believable, high-fidelity scene with natural human expressions and a physically accurate handshake. Video 1 suffers from severe 'uncanny valley' distortion, morphing artifacts during the handshake, and lower overall resolution.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a sleek, modern office with glass walls and minimalist decor, two men stand facing each other, their expressions radiating warmth and camaraderie. One man, wearing a tailored navy suit with a crisp white shirt, extends his hand with a genuine smile. The other, dressed in a charcoal blazer and light blue shirt, reciprocates the gesture, their hands meeting in a firm, enthusiastic handshake. Sunlight streams through large windows, casting a soft glow on the polished wooden floor and contemporary furniture. The atmosphere is one of mutual respect and shared success, captured in this moment of professional connection.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attire Color & Style Specificity", "reason_1": "Video 1 correctly depicts the navy suit and white shirt, but the second man's outfit is a dark suit rather than the requested 'charcoal blazer and light blue shirt'.", "reason_2": "Video 2 also misses the 'charcoal' tone (rendering a light grey suit), but the shirt and blazer combination is slightly more distinct and aligned with the 'blazer' description than Video 1's full suit.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Handshake Mechanics)", "reason_1": "The handshake in Video 1 is physically incoherent; the hands merge into a singular, morphing blob rather than clasping distinct fingers.", "reason_2": "Video 2 depicts a mechanically accurate handshake with distinct hands, proper grip, and realistic movement.", "score_1": 1, "score_2": 9}, {"name": "Environmental Context (Office & Lighting)", "reason_1": "Video 1 captures the glass walls and office setting but lacks the specific 'sunlight streaming' effect, resulting in flat lighting.", "reason_2": "Video 2 successfully renders the 'sunlight streaming' and 'soft glow' on the floor, creating a more accurate environmental context.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 executes the core action (handshake) with physical logic, whereas Video 1 fails to render the interaction accurately. Both videos struggle slightly with the specific 'charcoal blazer' instruction, but Video 2's overall scene composition is more aligned with the prompt's descriptive richness.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Identity Persistence", "reason_1": "The faces in Video 1 are heavily distorted, with unnatural features and a 'plastic' appearance that degrades over time.", "reason_2": "Video 2 maintains high-fidelity, photorealistic faces with consistent identity and natural expressions throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability (Hands & Limbs)", "reason_1": "Video 1 exhibits severe morphing artifacts where the subjects' hands and arms lose their shape during the interaction.", "reason_2": "Video 2 maintains solid structural integrity of the subjects' bodies and hands during motion.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Texture Rendering", "reason_1": "The image is soft, lacking detail in fabric textures, and has a lower perceived resolution.", "reason_2": "The video is sharp, with realistic textures visible in the suit fabrics, skin, and background elements.", "score_1": 2, "score_2": 8}], "cat_reason": "This is the most significant differentiator. Video 2 achieves near-photorealism, while Video 1 displays characteristic low-quality AI artifacts such as facial distortion and texture blurring.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Authenticity (Warmth & Camaraderie)", "reason_1": "The distorted smiles and unnatural eye contact create an 'uncanny valley' effect that fails to convey genuine warmth.", "reason_2": "The subjects exhibit natural, human-like smiles and body language that effectively communicate the requested camaraderie.", "score_1": 2, "score_2": 8}, {"name": "Lighting Atmosphere & Mood", "reason_1": "The lighting is functional but flat, failing to evoke the 'soft glow' or 'sleek' atmosphere described.", "reason_2": "The lighting is dynamic and cinematic, effectively using the sunlight to create a professional and positive mood.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to the heavy artifacts and lack of realism.", "reason_2": "The video is aesthetically pleasing, resembling high-quality stock footage suitable for professional use.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully conveys the requested mood of 'warmth and camaraderie' through realistic acting and lighting, whereas Video 1's uncanny visuals detract from the intended emotional tone.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in terms of photorealism, anatomical consistency, and lighting quality. While both videos struggle slightly with the specific color palette of the second man's attire, Video 2 delivers a believable, high-fidelity scene with natural human expressions and a physically accurate handshake. Video 1 suffers from severe 'uncanny valley' distortion, morphing artifacts during the handshake, and lower overall resolution.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 64.381} +{"pair_id": "005_seed_42", "sample_index": 5, "seed": 42, "prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_005_seed_42_The video begins with a rapid zoom towards a vibra.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Rapid Zoom Execution)\", \"reason_1\": \"Video 1 executes a clear, continuous zoom-in motion that matches the prompt's instruction to 'close in' on the subject.\", \"reason_2\": \"Video 2 is virtually static with no perceptible zoom or camera movement, failing the primary action constraint.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Accuracy (Dew & Texture)\", \"reason_1\": \"Video 1 renders the 'glistening morning dew' effectively, with droplets that catch the light and sit naturally on the petals.\", \"reason_2\": \"Video 2 shows some texture, but the 'dew' appears as static white noise or artifacts rather than liquid droplets, and the texture lacks the requested velvety depth.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject & Environment Context\", \"reason_1\": \"Video 1 correctly places the rose against a blurred green background, maintaining the requested contrast.\", \"reason_2\": \"Video 2 also features the rose and green background, but the lack of depth of field changes makes the environment feel flatter.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 adheres to the critical instruction of a 'rapid zoom' and 'closing in', whereas Video 2 fails to generate significant camera movement. Video 1 also renders the 'glistening dew' more accurately as distinct droplets.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Dynamic Motion Presence\", \"reason_1\": \"Video 1 displays fluid motion consistent with a camera zoom, creating a sense of time and space.\", \"reason_2\": \"Video 2 lacks dynamic motion entirely, appearing as a still image or a frozen frame.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"Video 1 maintains good sharpness on the focal point (the rose) while blurring the background appropriately.\", \"reason_2\": \"Video 2 appears slightly softer and less defined, lacking the crispness expected of a high-quality macro shot.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Lighting Interaction (Glistening Effect)\", \"reason_1\": \"The lighting in Video 1 interacts realistically with the water droplets, creating the requested 'glistening' effect.\", \"reason_2\": \"The lighting in Video 2 is flat, and the droplets do not reflect light dynamically, reducing realism.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates actual video dynamics with smooth motion and consistent lighting. Video 2 suffers from a lack of motion and lower perceived resolution/sharpness.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Camera Movement\", \"reason_1\": \"The camera work in Video 1 is intentional and smooth, guiding the viewer's eye to the center of the flower.\", \"reason_2\": \"Video 2 has no camera movement, failing to provide any cinematic experience.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Appeal & Color Harmony\", \"reason_1\": \"Video 1 features rich crimson tones and a pleasing contrast with the background, creating a vibrant aesthetic.\", \"reason_2\": \"Video 2's colors are somewhat duller, and the overall composition feels less engaging due to the lack of depth.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Progression (Zoom to Close-up)\", \"reason_1\": \"Video 1 follows the narrative arc of starting wider and ending in a close-up of the rose's heart.\", \"reason_2\": \"Video 2 has no progression; the start and end frames are essentially identical.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully creates a cinematic moment through camera movement and composition, fulfilling the narrative of revealing the rose's beauty. Video 2 lacks narrative progression.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the primary camera movement (zoom) requested in the prompt, creating a dynamic and engaging visual experience. It accurately renders the 'glistening dew' and the 'velvety texture' of the petals with high fidelity. In contrast, Video 2 is essentially a static image with negligible motion, failing to perform the requested zoom or reveal the details through camera movement.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The video begins with a rapid zoom towards a vibrant red rose, its petals glistening with morning dew under soft sunlight. As the camera closes in, the intricate details of the petals become visible, revealing their velvety texture and delicate, layered structure. The rich crimson hue of the petals contrasts beautifully with the subtle green of the surrounding leaves. The camera continues to zoom, capturing the gentle curves and natural patterns etched into each petal, highlighting the rose's elegance and complexity. The scene concludes with an intimate close-up of the rose's heart, showcasing the intricate beauty of nature.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Rapid Zoom Execution)", "reason_1": "Video 1 executes a clear, continuous zoom-in motion that matches the prompt's instruction to 'close in' on the subject.", "reason_2": "Video 2 is virtually static with no perceptible zoom or camera movement, failing the primary action constraint.", "score_1": 9, "score_2": 1}, {"name": "Attribute Accuracy (Dew & Texture)", "reason_1": "Video 1 renders the 'glistening morning dew' effectively, with droplets that catch the light and sit naturally on the petals.", "reason_2": "Video 2 shows some texture, but the 'dew' appears as static white noise or artifacts rather than liquid droplets, and the texture lacks the requested velvety depth.", "score_1": 8, "score_2": 2}, {"name": "Subject & Environment Context", "reason_1": "Video 1 correctly places the rose against a blurred green background, maintaining the requested contrast.", "reason_2": "Video 2 also features the rose and green background, but the lack of depth of field changes makes the environment feel flatter.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 adheres to the critical instruction of a 'rapid zoom' and 'closing in', whereas Video 2 fails to generate significant camera movement. Video 1 also renders the 'glistening dew' more accurately as distinct droplets.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Dynamic Motion Presence", "reason_1": "Video 1 displays fluid motion consistent with a camera zoom, creating a sense of time and space.", "reason_2": "Video 2 lacks dynamic motion entirely, appearing as a still image or a frozen frame.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "Video 1 maintains good sharpness on the focal point (the rose) while blurring the background appropriately.", "reason_2": "Video 2 appears slightly softer and less defined, lacking the crispness expected of a high-quality macro shot.", "score_1": 7, "score_2": 3}, {"name": "Lighting Interaction (Glistening Effect)", "reason_1": "The lighting in Video 1 interacts realistically with the water droplets, creating the requested 'glistening' effect.", "reason_2": "The lighting in Video 2 is flat, and the droplets do not reflect light dynamically, reducing realism.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates actual video dynamics with smooth motion and consistent lighting. Video 2 suffers from a lack of motion and lower perceived resolution/sharpness.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Camera Movement", "reason_1": "The camera work in Video 1 is intentional and smooth, guiding the viewer's eye to the center of the flower.", "reason_2": "Video 2 has no camera movement, failing to provide any cinematic experience.", "score_1": 9, "score_2": 1}, {"name": "Visual Appeal & Color Harmony", "reason_1": "Video 1 features rich crimson tones and a pleasing contrast with the background, creating a vibrant aesthetic.", "reason_2": "Video 2's colors are somewhat duller, and the overall composition feels less engaging due to the lack of depth.", "score_1": 7, "score_2": 3}, {"name": "Narrative Progression (Zoom to Close-up)", "reason_1": "Video 1 follows the narrative arc of starting wider and ending in a close-up of the rose's heart.", "reason_2": "Video 2 has no progression; the start and end frames are essentially identical.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully creates a cinematic moment through camera movement and composition, fulfilling the narrative of revealing the rose's beauty. Video 2 lacks narrative progression.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the primary camera movement (zoom) requested in the prompt, creating a dynamic and engaging visual experience. It accurately renders the 'glistening dew' and the 'velvety texture' of the petals with high fidelity. In contrast, Video 2 is essentially a static image with negligible motion, failing to perform the requested zoom or reveal the details through camera movement.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 67.087} +{"pair_id": "007_seed_930", "sample_index": 7, "seed": 930, "prompt": "A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_007_seed_930_A sleek black car glides smoothly along a winding.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_930_A sleek black car glides smoothly along a winding.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_007_seed_930_A sleek black car glides smoothly along a winding.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_007_seed_930_A sleek black car glides smoothly along a winding.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Sleekness & Polish)\", \"reason_1\": \"The car in Video 1 is rendered with high fidelity, showcasing the requested 'polished surface' and 'aerodynamic design' with realistic gloss.\", \"reason_2\": \"The car in Video 2 appears matte and low-resolution, lacking the 'sleek' and 'polished' attributes explicitly requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Detail (Waves & Cliffs)\", \"reason_1\": \"Video 1 clearly depicts the 'ocean waves crash against the rocky cliffs' with distinct textures and realistic water physics.\", \"reason_2\": \"The background in Video 2 is blurry and indistinct; the waves and cliffs lack definition and merge into a noisy texture.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Specificity (Golden Glow)\", \"reason_1\": \"Video 1 perfectly captures the 'golden glow' of the sun, creating accurate specular highlights on the car's body.\", \"reason_2\": \"Video 2 has flat, dull lighting that fails to convey the specific 'golden glow' or dramatic sun interaction described.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately renders the specific attributes requested, such as the 'polished surface' and 'golden glow,' whereas Video 2 presents a duller, less detailed subject and environment.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The video is crisp, sharp, and high-resolution, maintaining detail in both the foreground car and background landscape.\", \"reason_2\": \"The video is heavily pixelated and blurry, resembling a low-quality upscale with significant loss of detail.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Car Geometry)\", \"reason_1\": \"The car maintains a consistent shape and rigid body structure throughout the motion.\", \"reason_2\": \"The car's geometry warps and shifts slightly during the turn, lacking structural integrity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Physics (Gliding vs. Sliding)\", \"reason_1\": \"The car moves with appropriate weight and momentum, adhering to the road surface realistically.\", \"reason_2\": \"The car appears to slide or float over the road texture rather than driving on it, lacking physical grounding.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade visual quality with stable geometry and sharp textures. Video 2 suffers from significant blur, artifacts, and motion instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing is balanced and professional, effectively showcasing the car against the dramatic backdrop.\", \"reason_2\": \"The framing feels awkward and the camera angle is less effective at highlighting the car's design or the scenery.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Mood (Freedom & Adventure)\", \"reason_1\": \"The bright lighting, clear horizon, and smooth motion successfully convey the requested sense of 'freedom and adventure'.\", \"reason_2\": \"The muddy visuals and lack of clarity fail to evoke any specific mood or emotional response.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion Quality (Tracking)\", \"reason_1\": \"The camera movement is smooth and stable, effectively tracking the subject while maintaining a cinematic feel.\", \"reason_2\": \"The camera motion feels jerky and unstable, detracting from the viewing experience.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 delivers a cinematic experience with beautiful composition and lighting that evokes the desired mood. Video 2 lacks aesthetic appeal due to its poor technical execution.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is vastly superior in terms of visual fidelity, photorealism, and adherence to the prompt's aesthetic requirements. It successfully captures the 'golden glow,' 'polished surface,' and 'dramatic backdrop' with high-definition clarity and stable motion. Video 2 suffers from low resolution, significant blurring, and a lack of texture detail, failing to convey the sleekness or the specific lighting conditions requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A sleek black car glides smoothly along a winding coastal road, the camera capturing its every move with a handheld tracking shot. The sun casts a golden glow on the vehicle's polished surface, highlighting its aerodynamic design. As the car navigates sharp turns, the ocean waves crash against the rocky cliffs below, creating a dramatic backdrop. The camera follows closely, capturing the rhythmic motion of the wheels and the subtle reflections of the surrounding landscape on the car's glossy exterior. The scene conveys a sense of freedom and adventure, with the open road stretching endlessly ahead.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Sleekness & Polish)", "reason_1": "The car in Video 1 is rendered with high fidelity, showcasing the requested 'polished surface' and 'aerodynamic design' with realistic gloss.", "reason_2": "The car in Video 2 appears matte and low-resolution, lacking the 'sleek' and 'polished' attributes explicitly requested.", "score_1": 9, "score_2": 1}, {"name": "Environmental Detail (Waves & Cliffs)", "reason_1": "Video 1 clearly depicts the 'ocean waves crash against the rocky cliffs' with distinct textures and realistic water physics.", "reason_2": "The background in Video 2 is blurry and indistinct; the waves and cliffs lack definition and merge into a noisy texture.", "score_1": 8, "score_2": 2}, {"name": "Lighting Specificity (Golden Glow)", "reason_1": "Video 1 perfectly captures the 'golden glow' of the sun, creating accurate specular highlights on the car's body.", "reason_2": "Video 2 has flat, dull lighting that fails to convey the specific 'golden glow' or dramatic sun interaction described.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately renders the specific attributes requested, such as the 'polished surface' and 'golden glow,' whereas Video 2 presents a duller, less detailed subject and environment.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The video is crisp, sharp, and high-resolution, maintaining detail in both the foreground car and background landscape.", "reason_2": "The video is heavily pixelated and blurry, resembling a low-quality upscale with significant loss of detail.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Car Geometry)", "reason_1": "The car maintains a consistent shape and rigid body structure throughout the motion.", "reason_2": "The car's geometry warps and shifts slightly during the turn, lacking structural integrity.", "score_1": 8, "score_2": 2}, {"name": "Motion Physics (Gliding vs. Sliding)", "reason_1": "The car moves with appropriate weight and momentum, adhering to the road surface realistically.", "reason_2": "The car appears to slide or float over the road texture rather than driving on it, lacking physical grounding.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade visual quality with stable geometry and sharp textures. Video 2 suffers from significant blur, artifacts, and motion instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "The framing is balanced and professional, effectively showcasing the car against the dramatic backdrop.", "reason_2": "The framing feels awkward and the camera angle is less effective at highlighting the car's design or the scenery.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Mood (Freedom & Adventure)", "reason_1": "The bright lighting, clear horizon, and smooth motion successfully convey the requested sense of 'freedom and adventure'.", "reason_2": "The muddy visuals and lack of clarity fail to evoke any specific mood or emotional response.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion Quality (Tracking)", "reason_1": "The camera movement is smooth and stable, effectively tracking the subject while maintaining a cinematic feel.", "reason_2": "The camera motion feels jerky and unstable, detracting from the viewing experience.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 delivers a cinematic experience with beautiful composition and lighting that evokes the desired mood. Video 2 lacks aesthetic appeal due to its poor technical execution.", "cat_winner": "Video 1"}], "reason": "Video 1 is vastly superior in terms of visual fidelity, photorealism, and adherence to the prompt's aesthetic requirements. It successfully captures the 'golden glow,' 'polished surface,' and 'dramatic backdrop' with high-definition clarity and stable motion. Video 2 suffers from low resolution, significant blurring, and a lack of texture detail, failing to convey the sleekness or the specific lighting conditions requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 58.348} +{"pair_id": "010_seed_310", "sample_index": 10, "seed": 310, "prompt": "From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_010_seed_310_From a high vantage point the camera captures a bu.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_010_seed_310_From a high vantage point the camera captures a bu.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_010_seed_310_From a high vantage point the camera captures a bu.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_010_seed_310_From a high vantage point the camera captures a bu.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Spatial Perspective (High Vantage Point)\", \"reason_1\": \"Video 1 completely ignores the 'high vantage point' instruction, presenting a low-angle, street-level shot.\", \"reason_2\": \"Video 2 correctly utilizes an elevated camera angle, looking down on the street as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Definition (Pedestrians & Cars)\", \"reason_1\": \"The subjects in Video 1 are amorphous blobs; pedestrians are barely recognizable, and cars lack distinct features.\", \"reason_2\": \"Video 2 renders distinct pedestrians in winter coats and clearly defined cars with headlights, matching the prompt's details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Atmosphere (Dusk & Wet Pavement)\", \"reason_1\": \"Video 1 captures the wet pavement and reflections but lacks the specific 'dusk' and 'misty air' atmosphere, appearing more like a dark, muddy blur.\", \"reason_2\": \"Video 2 successfully captures the 'dusk' setting with a mix of warm shop lights and cool ambient air, along with realistic wet pavement reflections.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately follows the spatial and subject-based instructions, whereas Video 1 fails the primary camera angle constraint and struggles to define the subjects.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"Video 1 exhibits severe morphing; cars change shape and blend into the road, and pedestrians dissolve into the background.\", \"reason_2\": \"Video 2 maintains the structural integrity of cars and buildings throughout the clip with minimal warping.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is extremely blurry and low-resolution, making it difficult to discern details.\", \"reason_2\": \"The video is sharp, with clear textures on the road, cars, and shop windows.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Coherence\", \"reason_1\": \"Motion is fluid but unnatural, resembling a smearing effect rather than physical movement.\", \"reason_2\": \"Cars move with relative smoothness and logical trajectory, though there is slight sliding, it is far superior to Video 1.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains object permanence and structural integrity, while Video 1 is plagued by severe artifacts, blurring, and morphing.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is chaotic and too close to the ground, failing to capture the 'scene' effectively.\", \"reason_2\": \"The wide, elevated framing effectively establishes the urban context and balances the street elements aesthetically.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony (Warm vs Cool)\", \"reason_1\": \"Colors are muddy and lack the distinct contrast between warm shop lights and cool air described in the prompt.\", \"reason_2\": \"Video 2 beautifully renders the contrast between the warm orange glow of the shops and the cool, purplish tones of the evening air.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy distortion and lack of clarity.\", \"reason_2\": \"The video is visually pleasing, resembling a high-quality cinematic shot of a city street.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 offers a composed, cinematic look that matches the 'harmonious urban symphony' description, while Video 1 is visually chaotic and unappealing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it strictly adheres to the 'high vantage point' constraint and delivers a coherent, high-fidelity scene with recognizable subjects. Video 1 fails the camera angle instruction, suffers from severe morphological instability (melting cars and pedestrians), and lacks the visual clarity required to depict the scene effectively.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "From a high vantage point, the camera captures a bustling urban street scene at dusk, where pedestrians, clad in winter coats and scarves, navigate the wet pavement, their reflections shimmering in the dim, golden streetlights. The soft glow from nearby shop windows casts a warm hue, contrasting with the cool, misty air. Cars, with headlights on, move slowly, their tires splashing through shallow puddles. The atmosphere is serene yet lively, with the distant hum of city life and the occasional sound of footsteps echoing through the crisp evening air, creating a harmonious urban symphony.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Spatial Perspective (High Vantage Point)", "reason_1": "Video 1 completely ignores the 'high vantage point' instruction, presenting a low-angle, street-level shot.", "reason_2": "Video 2 correctly utilizes an elevated camera angle, looking down on the street as requested.", "score_1": 1, "score_2": 9}, {"name": "Subject Definition (Pedestrians & Cars)", "reason_1": "The subjects in Video 1 are amorphous blobs; pedestrians are barely recognizable, and cars lack distinct features.", "reason_2": "Video 2 renders distinct pedestrians in winter coats and clearly defined cars with headlights, matching the prompt's details.", "score_1": 2, "score_2": 8}, {"name": "Environmental Atmosphere (Dusk & Wet Pavement)", "reason_1": "Video 1 captures the wet pavement and reflections but lacks the specific 'dusk' and 'misty air' atmosphere, appearing more like a dark, muddy blur.", "reason_2": "Video 2 successfully captures the 'dusk' setting with a mix of warm shop lights and cool ambient air, along with realistic wet pavement reflections.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately follows the spatial and subject-based instructions, whereas Video 1 fails the primary camera angle constraint and struggles to define the subjects.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "Video 1 exhibits severe morphing; cars change shape and blend into the road, and pedestrians dissolve into the background.", "reason_2": "Video 2 maintains the structural integrity of cars and buildings throughout the clip with minimal warping.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is extremely blurry and low-resolution, making it difficult to discern details.", "reason_2": "The video is sharp, with clear textures on the road, cars, and shop windows.", "score_1": 2, "score_2": 8}, {"name": "Motion Coherence", "reason_1": "Motion is fluid but unnatural, resembling a smearing effect rather than physical movement.", "reason_2": "Cars move with relative smoothness and logical trajectory, though there is slight sliding, it is far superior to Video 1.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains object permanence and structural integrity, while Video 1 is plagued by severe artifacts, blurring, and morphing.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is chaotic and too close to the ground, failing to capture the 'scene' effectively.", "reason_2": "The wide, elevated framing effectively establishes the urban context and balances the street elements aesthetically.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony (Warm vs Cool)", "reason_1": "Colors are muddy and lack the distinct contrast between warm shop lights and cool air described in the prompt.", "reason_2": "Video 2 beautifully renders the contrast between the warm orange glow of the shops and the cool, purplish tones of the evening air.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to heavy distortion and lack of clarity.", "reason_2": "The video is visually pleasing, resembling a high-quality cinematic shot of a city street.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 offers a composed, cinematic look that matches the 'harmonious urban symphony' description, while Video 1 is visually chaotic and unappealing.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it strictly adheres to the 'high vantage point' constraint and delivers a coherent, high-fidelity scene with recognizable subjects. Video 1 fails the camera angle instruction, suffers from severe morphological instability (melting cars and pedestrians), and lacks the visual clarity required to depict the scene effectively.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 18.0, "total_score_2": 72.0, "elapsed_sec": 56.457} +{"pair_id": "013_seed_42", "sample_index": 13, "seed": 42, "prompt": "A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_013_seed_42_A static camera captures a model standing confiden.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_013_seed_42_A static camera captures a model standing confiden.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_013_seed_42_A static camera captures a model standing confiden.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_013_seed_42_A static camera captures a model standing confiden.mp4", "swapped": false, "success": true, "model_output": "{\n \"prompt\": \"A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.\",\n \"categories\": [\n \"A. Semantic Alignment & Accuracy\",\n \"B. Video Quality & Dynamic Realism\",\n \"C. Narrative, Aesthetics & Cinematography\",\n \"D. Material Physics & Texture Rendering\",\n \"E. Anatomical & Structural Logic\",\n \"F. Camera Behavior & Framing\",\n \"G. Motion Dynamics & Naturalness\"\n ], \"reason_1\": \"Video 1 accurately depicts a standard 'cotton t-shirt' with a relaxed fit and natural drape, aligning perfectly with the prompt's description of a casual, comfortable garment. It captures the 'softness' and 'lightweight nature' effectively.\",\n \"reason_2\": \"Video 2 generates a garment that resembles a tight synthetic compression shirt or athletic wear rather than a standard cotton t-shirt. The fit is excessively tight, and the fabric lacks the requested 'softness' and 'casual' aesthetic.\",\n \"score_1\": 8, \"score_2\": 2\n}, \"reason_1\": \"Video 1 maintains a consistent, high-resolution texture throughout the clip. The fabric weave is visible and stable.\",\n \"reason_2\": \"Video 2 suffers from significant texture instability; the fabric pattern 'swims' and morphs unnaturally as the subject moves, breaking the illusion of realism.\",\n \"score_1\": 7, \"score_2\": 3\n}, \"reason_1\": \"The lighting in Video 1 is soft and even, highlighting the fabric texture without harsh shadows, fitting the 'serene' and 'comfort' mood.\",\n \"reason_2\": \"Video 2 uses higher contrast lighting that emphasizes the muscularity of the subject rather than the garment's comfort, creating a more aggressive, fitness-oriented mood.\",\n \"score_1\": 7, \"score_2\": 3\n}, \"reason_1\": \"The subject in Video 1 has natural proportions and the neckline sits correctly on the collarbone.\",\n \"reason_2\": \"The subject in Video 2 appears hyper-muscular with exaggerated shoulder width, and the neckline is pulled unnaturally tight, distorting the 'elegant' framing requested.\",\n \"score_1\": 7, \"score_2\": 3\n}, \"reason_1\": \"Video 1 adheres strictly to the 'static camera' instruction, providing a stable shot suitable for a product showcase.\",\n \"reason_2\": \"Video 2 includes a slow, subtle zoom or dolly movement, which technically violates the 'static camera' constraint.\",\n \"score_1\": 6, \"score_2\": 4\n}, \"reason_1\": \"The movement in Video 1 is subtle and natural, mimicking breathing or slight shifting, which reveals the fabric's drape.\",\n \"reason_2\": \"The movement in Video 2 feels slightly mechanical, and the fabric reacts to the body's expansion/contraction with a rubbery, unrealistic physics simulation.\",\n \"score_1\": 7, \"score_2\": 3\n}, \"reason_1\": \"Video 1 successfully conveys the 'casual yet stylish' and 'comfort' aspects of the prompt through its visual presentation.\",\n \"reason_2\": \"Video 2 conveys a 'performance' or 'workout' vibe, which contradicts the prompt's emphasis on softness, breathability, and casual elegance.\",\n \"score_1\": 8, \"score_2\": 2\n}, \"reason_1\": \"Video 1 is the clear winner as it delivers a realistic, high-quality representation of the specific garment described, maintaining stability and aesthetic appeal.\",\n \"reason_2\": \"Video 2 fails to capture the correct material properties and style, leaning too heavily into a synthetic/athletic look with noticeable generation artifacts.\",\n \"score_1\": 8, \"score_2\": 2\n}], \"reason_1\": \"Video 1 is the superior generation because it accurately captures the specific material qualities (soft cotton) and the relaxed, casual mood requested in the prompt. It maintains high visual fidelity and stability. Video 2, while detailed, interprets the shirt as a tight athletic compression garment rather than a casual cotton tee, and suffers from texture swimming and unnatural fabric physics.\",\n\"reason_2\": \"Video 2 deviates from the prompt's implied casual nature, presenting a hyper-muscular subject in a synthetic-looking shirt with unstable textures.\",\n\"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A static camera captures a model standing confidently, wearing a light gray cotton t-shirt that fits snugly, accentuating the natural contours of the body. The round neckline frames the collarbone elegantly, while the short sleeves offer a casual yet stylish look. The fabric's softness and breathability are evident, with subtle movements revealing its lightweight nature. Close-up shots highlight the meticulous stitching details along the seams, showcasing craftsmanship. The model's relaxed posture and serene expression emphasize the t-shirt's comfort, while the neutral background ensures the focus remains on the garment's texture and design.", "categories": ["A. Semantic Alignment & Accuracy", "B. Video Quality & Dynamic Realism", "C. Narrative, Aesthetics & Cinematography", "D. Material Physics & Texture Rendering", "E. Anatomical & Structural Logic", "F. Camera Behavior & Framing", "G. Motion Dynamics & Naturalness"], "reason_1": "Video 1 accurately depicts a standard 'cotton t-shirt' with a relaxed fit and natural drape, aligning perfectly with the prompt's description of a casual, comfortable garment. It captures the 'softness' and 'lightweight nature' effectively.", "reason_2": "Video 2 generates a garment that resembles a tight synthetic compression shirt or athletic wear rather than a standard cotton t-shirt. The fit is excessively tight, and the fabric lacks the requested 'softness' and 'casual' aesthetic.", "score_1": 8, "score_2": 2}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": null, "total_score_2": null, "elapsed_sec": 53.89} +{"pair_id": "015_seed_930", "sample_index": 15, "seed": 930, "prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_015_seed_930_A man in a sleek black suit and polished shoes sta.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Turn & Walk)\", \"reason_1\": \"Video 1 depicts the subject walking but completely misses the 'turns to his left' instruction; the subject is already in motion or turning away from the camera immediately.\", \"reason_2\": \"Video 2 clearly depicts the subject standing, turning to his left, and then walking, perfectly matching the chronological sequence of the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Framing Constraint (Entire Form)\", \"reason_1\": \"Video 1 fails the 'captures his entire form' constraint by cropping the subject's head out of the frame for the majority of the clip.\", \"reason_2\": \"Video 2 maintains a wide shot that keeps the subject's entire body, including head and feet, visible within the frame throughout the action.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Sheer Curtains)\", \"reason_1\": \"Video 1 features heavy, opaque vertical blinds rather than the requested 'sheer curtains'.\", \"reason_2\": \"Video 2 correctly renders 'sheer curtains' that allow light to filter through, matching the specific environmental description.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the prompt's specific instructions regarding the subject's actions and the environment, whereas Video 1 failed to depict the initial turn and the specific window treatment.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture detail on the suit and environment.\", \"reason_2\": \"The video is sharp, with clear textures visible on the suit fabric and the wooden floor.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Naturalness (Gait)\", \"reason_1\": \"The walking motion is somewhat stiff and the camera movement feels slightly artificial.\", \"reason_2\": \"The subject's gait is natural and grounded, with realistic weight transfer during the walk.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Lighting Interaction (Sheen & Glow)\", \"reason_1\": \"Lighting is flat and dull; the 'subtle sheen' of the suit is barely visible.\", \"reason_2\": \"The lighting is dynamic, creating realistic highlights on the suit and a warm glow on the floor as requested.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 offers a much higher resolution image with realistic lighting interactions, whereas Video 1 suffers from blurriness and lower fidelity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Subject Placement\", \"reason_1\": \"The composition is poor, cutting off the subject's head and leaving too much empty space on the right.\", \"reason_2\": \"The subject is well-centered, and the framing allows the viewer to appreciate the full movement and the environment.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Serene/Modern)\", \"reason_1\": \"The atmosphere feels somewhat sterile and lacks the 'warm glow' described.\", \"reason_2\": \"The video successfully establishes a serene, modern atmosphere with warm, natural lighting.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Stability & Intent\", \"reason_1\": \"The camera movement feels slightly shaky and unmotivated.\", \"reason_2\": \"The camera is stable and tracks the subject smoothly, enhancing the professional look of the clip.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 presents a professional, cinematic composition that captures the mood of the prompt, while Video 1 has poor framing and a dull aesthetic.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the specific action sequence (turning then walking) and environmental details (sheer curtains) requested in the prompt. Video 1 fails to show the initial turn, crops the subject's head significantly, and lacks the visual fidelity and lighting quality present in Video 2.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A man in a sleek black suit and polished shoes stands confidently in a minimalist, modern room with soft lighting. The camera captures his entire form, highlighting his poised stance and the subtle sheen of his attire. As he turns to his left, the fabric of his suit moves fluidly, emphasizing his graceful motion. He begins to walk with purpose across the polished wooden floor, his footsteps echoing softly in the serene space. The background features a large window with sheer curtains, allowing gentle natural light to filter through, casting a warm glow on his path.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Turn & Walk)", "reason_1": "Video 1 depicts the subject walking but completely misses the 'turns to his left' instruction; the subject is already in motion or turning away from the camera immediately.", "reason_2": "Video 2 clearly depicts the subject standing, turning to his left, and then walking, perfectly matching the chronological sequence of the prompt.", "score_1": 2, "score_2": 8}, {"name": "Framing Constraint (Entire Form)", "reason_1": "Video 1 fails the 'captures his entire form' constraint by cropping the subject's head out of the frame for the majority of the clip.", "reason_2": "Video 2 maintains a wide shot that keeps the subject's entire body, including head and feet, visible within the frame throughout the action.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Sheer Curtains)", "reason_1": "Video 1 features heavy, opaque vertical blinds rather than the requested 'sheer curtains'.", "reason_2": "Video 2 correctly renders 'sheer curtains' that allow light to filter through, matching the specific environmental description.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the prompt's specific instructions regarding the subject's actions and the environment, whereas Video 1 failed to depict the initial turn and the specific window treatment.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, low-resolution, and lacks texture detail on the suit and environment.", "reason_2": "The video is sharp, with clear textures visible on the suit fabric and the wooden floor.", "score_1": 2, "score_2": 8}, {"name": "Motion Naturalness (Gait)", "reason_1": "The walking motion is somewhat stiff and the camera movement feels slightly artificial.", "reason_2": "The subject's gait is natural and grounded, with realistic weight transfer during the walk.", "score_1": 4, "score_2": 6}, {"name": "Lighting Interaction (Sheen & Glow)", "reason_1": "Lighting is flat and dull; the 'subtle sheen' of the suit is barely visible.", "reason_2": "The lighting is dynamic, creating realistic highlights on the suit and a warm glow on the floor as requested.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 offers a much higher resolution image with realistic lighting interactions, whereas Video 1 suffers from blurriness and lower fidelity.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Subject Placement", "reason_1": "The composition is poor, cutting off the subject's head and leaving too much empty space on the right.", "reason_2": "The subject is well-centered, and the framing allows the viewer to appreciate the full movement and the environment.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Serene/Modern)", "reason_1": "The atmosphere feels somewhat sterile and lacks the 'warm glow' described.", "reason_2": "The video successfully establishes a serene, modern atmosphere with warm, natural lighting.", "score_1": 3, "score_2": 7}, {"name": "Camera Stability & Intent", "reason_1": "The camera movement feels slightly shaky and unmotivated.", "reason_2": "The camera is stable and tracks the subject smoothly, enhancing the professional look of the clip.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 presents a professional, cinematic composition that captures the mood of the prompt, while Video 1 has poor framing and a dull aesthetic.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the specific action sequence (turning then walking) and environmental details (sheer curtains) requested in the prompt. Video 1 fails to show the initial turn, crops the subject's head significantly, and lacks the visual fidelity and lighting quality present in Video 2.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 25.0, "total_score_2": 65.0, "elapsed_sec": 55.517} +{"pair_id": "018_seed_310", "sample_index": 18, "seed": 310, "prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_310_A charming little girl wearing a bright yellow rai.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_310_A charming little girl wearing a bright yellow rai.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_018_seed_310_A charming little girl wearing a bright yellow rai.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_018_seed_310_A charming little girl wearing a bright yellow rai.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attribute Fidelity (Attire & Colors)\", \"reason_1\": \"Video 1 perfectly renders the bright yellow raincoat, red boots, and colorful umbrella with distinct textures.\", \"reason_2\": \"Video 2 includes the correct colors, but the textures are muddy and the umbrella lacks the distinct 'colorful' vibrancy seen in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Shops & Reflections)\", \"reason_1\": \"Video 1 clearly displays the 'vibrant trinkets' in the shop windows and realistic puddle reflections on the cobblestones.\", \"reason_2\": \"Video 2's background is blurry; the shop windows are indistinct, and the reflections are smeared rather than realistic.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Interaction Logic (Leash & Companionship)\", \"reason_1\": \"The girl holds the leash naturally, and the dog trots beside her with a logical physical connection.\", \"reason_2\": \"The leash in Video 2 appears to float or disconnect from the girl's hand, and the dog's position relative to the girl is inconsistent.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 captures every semantic detail with high precision, particularly the environmental context and the specific attributes of the subjects. Video 2 includes the core elements but fails to render the specific details like the shop trinkets or the 'loose' nature of the leash interaction convincingly.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Dog & Limbs)\", \"reason_1\": \"The dog and girl maintain their shape and volume consistently throughout the clip.\", \"reason_2\": \"The dog in Video 2 suffers from severe morphing, changing shape and size with every step, and the girl's legs distort.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Locomotion Physics (Gait & Ground Contact)\", \"reason_1\": \"The walking motion is grounded; feet interact realistically with the cobblestones.\", \"reason_2\": \"The subjects in Video 2 exhibit 'moonwalking' or sliding, where their feet move faster than the ground speed, breaking physical plausibility.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Clarity & Texture Resolution\", \"reason_1\": \"The image is sharp, with clear definition in the raincoat fabric and dog fur.\", \"reason_2\": \"The video is blurry and lacks high-frequency detail, appearing like a low-resolution upscale.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"This is the most significant differentiator. Video 1 maintains solid subject integrity and realistic motion. Video 2 exhibits classic AI artifacts like sliding feet, morphing limbs, and background instability.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Camera Movement\", \"reason_1\": \"Uses a stable frontal tracking shot that keeps the subjects perfectly framed and engaging.\", \"reason_2\": \"Uses a side-tracking shot that feels rushed and shaky, making it harder to appreciate the details.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Mood (Heartwarming/Quaint)\", \"reason_1\": \"The lighting and color grading successfully evoke the 'charming' and 'heartwarming' vibe requested.\", \"reason_2\": \"The glitchy motion and darker, muddier tones detract significantly from the intended heartwarming mood.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Expression & Vitality\", \"reason_1\": \"The girl's face is visible and expressive, matching the 'joyful' description.\", \"reason_2\": \"The girl's face is often obscured or distorted, failing to convey the requested emotion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 presents a professional, cinematic frontal shot that effectively conveys the 'charming' and 'heartwarming' mood. Video 2's side angle is less engaging and marred by visual glitches.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category, offering a high-fidelity, stable, and aesthetically pleasing interpretation of the prompt. It accurately renders the specific environmental details (shop trinkets, reflections) and maintains excellent morphological consistency for both the girl and the dog. Video 2 suffers from significant motion artifacts, 'sliding' physics, and lower resolution, failing to capture the charm and realism required.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A charming little girl, wearing a bright yellow raincoat and red boots, strolls down a quaint cobblestone street, holding a colorful umbrella. Beside her, a small, fluffy white dog trots happily, its leash held loosely in her hand. The street is lined with blooming flower boxes and quaint shops, their windows displaying vibrant trinkets. The sky is overcast, hinting at a recent rain, with puddles reflecting the girl's joyful steps. As they walk, the girl's laughter fills the air, and the dog occasionally stops to sniff the ground, creating a heartwarming scene of companionship and adventure.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attribute Fidelity (Attire & Colors)", "reason_1": "Video 1 perfectly renders the bright yellow raincoat, red boots, and colorful umbrella with distinct textures.", "reason_2": "Video 2 includes the correct colors, but the textures are muddy and the umbrella lacks the distinct 'colorful' vibrancy seen in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Shops & Reflections)", "reason_1": "Video 1 clearly displays the 'vibrant trinkets' in the shop windows and realistic puddle reflections on the cobblestones.", "reason_2": "Video 2's background is blurry; the shop windows are indistinct, and the reflections are smeared rather than realistic.", "score_1": 9, "score_2": 1}, {"name": "Interaction Logic (Leash & Companionship)", "reason_1": "The girl holds the leash naturally, and the dog trots beside her with a logical physical connection.", "reason_2": "The leash in Video 2 appears to float or disconnect from the girl's hand, and the dog's position relative to the girl is inconsistent.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 captures every semantic detail with high precision, particularly the environmental context and the specific attributes of the subjects. Video 2 includes the core elements but fails to render the specific details like the shop trinkets or the 'loose' nature of the leash interaction convincingly.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Dog & Limbs)", "reason_1": "The dog and girl maintain their shape and volume consistently throughout the clip.", "reason_2": "The dog in Video 2 suffers from severe morphing, changing shape and size with every step, and the girl's legs distort.", "score_1": 9, "score_2": 1}, {"name": "Locomotion Physics (Gait & Ground Contact)", "reason_1": "The walking motion is grounded; feet interact realistically with the cobblestones.", "reason_2": "The subjects in Video 2 exhibit 'moonwalking' or sliding, where their feet move faster than the ground speed, breaking physical plausibility.", "score_1": 8, "score_2": 2}, {"name": "Visual Clarity & Texture Resolution", "reason_1": "The image is sharp, with clear definition in the raincoat fabric and dog fur.", "reason_2": "The video is blurry and lacks high-frequency detail, appearing like a low-resolution upscale.", "score_1": 9, "score_2": 1}], "cat_reason": "This is the most significant differentiator. Video 1 maintains solid subject integrity and realistic motion. Video 2 exhibits classic AI artifacts like sliding feet, morphing limbs, and background instability.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Camera Movement", "reason_1": "Uses a stable frontal tracking shot that keeps the subjects perfectly framed and engaging.", "reason_2": "Uses a side-tracking shot that feels rushed and shaky, making it harder to appreciate the details.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Mood (Heartwarming/Quaint)", "reason_1": "The lighting and color grading successfully evoke the 'charming' and 'heartwarming' vibe requested.", "reason_2": "The glitchy motion and darker, muddier tones detract significantly from the intended heartwarming mood.", "score_1": 9, "score_2": 1}, {"name": "Subject Expression & Vitality", "reason_1": "The girl's face is visible and expressive, matching the 'joyful' description.", "reason_2": "The girl's face is often obscured or distorted, failing to convey the requested emotion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 presents a professional, cinematic frontal shot that effectively conveys the 'charming' and 'heartwarming' mood. Video 2's side angle is less engaging and marred by visual glitches.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category, offering a high-fidelity, stable, and aesthetically pleasing interpretation of the prompt. It accurately renders the specific environmental details (shop trinkets, reflections) and maintains excellent morphological consistency for both the girl and the dog. Video 2 suffers from significant motion artifacts, 'sliding' physics, and lower resolution, failing to capture the charm and realism required.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 76.0, "total_score_2": 14.0, "elapsed_sec": 61.611} +{"pair_id": "021_seed_42", "sample_index": 21, "seed": 42, "prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_42_In a serene sunlit wetland a crocodile glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_42_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_021_seed_42_In a serene sunlit wetland a crocodile glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_021_seed_42_In a serene sunlit wetland a crocodile glides effo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Interaction (Flight Path Intersection)\", \"reason_1\": \"The bird in Video 1 flies directly over the crocodile, creating a clear spatial relationship and 'intersection' as requested.\", \"reason_2\": \"The bird in Video 2 flies in the background and never intersects with the crocodile's path, failing the specific interaction prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Environmental Atmosphere (Sunlit & Shimmering)\", \"reason_1\": \"Video 1 features high-contrast lighting with distinct specular highlights on the water, perfectly matching the 'sunlit' and 'shimmering' description.\", \"reason_2\": \"Video 2 has flat, diffuse lighting that lacks the 'warm sunlight' and 'glistening' quality requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Attributes (Crocodile & Bird)\", \"reason_1\": \"The crocodile's scales are visible and textured, and the bird is distinct. The 'powerful tail' is implied by the body position.\", \"reason_2\": \"The crocodile appears somewhat generic and lacks the detailed 'glistening scales' attribute; the bird is less defined.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific interaction and environmental lighting described in the prompt, whereas Video 2 fails to show the flight path intersection and lacks the requested lighting atmosphere.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Detail\", \"reason_1\": \"The image is sharp, with clear definition in the water ripples, crocodile skin, and background grass.\", \"reason_2\": \"The video appears soft and low-resolution, with muddy textures on the water and subjects.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Water Physics & Ripple Realism\", \"reason_1\": \"The water reacts realistically to the crocodile's movement, creating the 'mesmerizing pattern' of ripples mentioned in the prompt.\", \"reason_2\": \"The water movement is minimal and lacks the complex ripple patterns expected from a swimming crocodile.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Coherence (Bird Flight)\", \"reason_1\": \"The bird's flight is smooth and maintains a consistent trajectory relative to the camera.\", \"reason_2\": \"The bird's motion feels slightly disconnected from the environment, appearing somewhat like a 2D overlay.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior sharpness, texture rendering, and water physics compared to the softer, lower-resolution look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing places the crocodile and bird in a balanced composition that highlights their coexistence.\", \"reason_2\": \"The wide shot feels empty, with the subjects too far apart to create a cohesive visual narrative.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"The colors are vibrant, with lush greens and deep blues that enhance the 'serene' mood.\", \"reason_2\": \"The color palette is washed out and lacks the vibrancy described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Execution (Harmonious Dance)\", \"reason_1\": \"The proximity of the bird and crocodile successfully evokes the feeling of a 'harmonious dance' of nature.\", \"reason_2\": \"Due to the distance between subjects, the narrative of a 'dance' or interaction is completely lost.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 offers a much more engaging composition that brings the viewer into the scene, effectively conveying the 'harmonious dance' of nature.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully executes the core narrative requirement of the bird's flight path intersecting with the crocodile, creating the requested 'harmonious dance.' It also captures the 'sunlit' and 'shimmering' atmosphere with high visual fidelity. Video 2 fails to establish the spatial relationship between the subjects, placing them too far apart, and suffers from lower resolution and flatter lighting.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, sunlit wetland, a crocodile glides effortlessly through the shimmering water, its scales glistening under the warm sunlight. The camera captures the gentle ripples trailing behind its powerful tail, creating a mesmerizing pattern on the water's surface. Above, a graceful bird soars through the clear blue sky, its wings outstretched, casting a fleeting shadow over the tranquil scene below. The bird's elegant flight path intersects with the crocodile's journey, creating a harmonious dance of nature. The lush greenery surrounding the water adds a vibrant backdrop, enhancing the peaceful coexistence of these two creatures in their natural habitat.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Interaction (Flight Path Intersection)", "reason_1": "The bird in Video 1 flies directly over the crocodile, creating a clear spatial relationship and 'intersection' as requested.", "reason_2": "The bird in Video 2 flies in the background and never intersects with the crocodile's path, failing the specific interaction prompt.", "score_1": 9, "score_2": 1}, {"name": "Environmental Atmosphere (Sunlit & Shimmering)", "reason_1": "Video 1 features high-contrast lighting with distinct specular highlights on the water, perfectly matching the 'sunlit' and 'shimmering' description.", "reason_2": "Video 2 has flat, diffuse lighting that lacks the 'warm sunlight' and 'glistening' quality requested.", "score_1": 8, "score_2": 2}, {"name": "Subject Attributes (Crocodile & Bird)", "reason_1": "The crocodile's scales are visible and textured, and the bird is distinct. The 'powerful tail' is implied by the body position.", "reason_2": "The crocodile appears somewhat generic and lacks the detailed 'glistening scales' attribute; the bird is less defined.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific interaction and environmental lighting described in the prompt, whereas Video 2 fails to show the flight path intersection and lacks the requested lighting atmosphere.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Detail", "reason_1": "The image is sharp, with clear definition in the water ripples, crocodile skin, and background grass.", "reason_2": "The video appears soft and low-resolution, with muddy textures on the water and subjects.", "score_1": 8, "score_2": 2}, {"name": "Water Physics & Ripple Realism", "reason_1": "The water reacts realistically to the crocodile's movement, creating the 'mesmerizing pattern' of ripples mentioned in the prompt.", "reason_2": "The water movement is minimal and lacks the complex ripple patterns expected from a swimming crocodile.", "score_1": 8, "score_2": 2}, {"name": "Motion Coherence (Bird Flight)", "reason_1": "The bird's flight is smooth and maintains a consistent trajectory relative to the camera.", "reason_2": "The bird's motion feels slightly disconnected from the environment, appearing somewhat like a 2D overlay.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior sharpness, texture rendering, and water physics compared to the softer, lower-resolution look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing places the crocodile and bird in a balanced composition that highlights their coexistence.", "reason_2": "The wide shot feels empty, with the subjects too far apart to create a cohesive visual narrative.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Vibrancy", "reason_1": "The colors are vibrant, with lush greens and deep blues that enhance the 'serene' mood.", "reason_2": "The color palette is washed out and lacks the vibrancy described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Narrative Execution (Harmonious Dance)", "reason_1": "The proximity of the bird and crocodile successfully evokes the feeling of a 'harmonious dance' of nature.", "reason_2": "Due to the distance between subjects, the narrative of a 'dance' or interaction is completely lost.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 offers a much more engaging composition that brings the viewer into the scene, effectively conveying the 'harmonious dance' of nature.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully executes the core narrative requirement of the bird's flight path intersecting with the crocodile, creating the requested 'harmonious dance.' It also captures the 'sunlit' and 'shimmering' atmosphere with high visual fidelity. Video 2 fails to establish the spatial relationship between the subjects, placing them too far apart, and suffers from lower resolution and flatter lighting.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 56.922} +{"pair_id": "023_seed_930", "sample_index": 23, "seed": 930, "prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_023_seed_930_A close-up reveals a lavish spread of Chinese cuis.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Inventory Completeness\", \"reason_1\": \"Video 1 clearly displays the dumplings, spring rolls, and fried rice in a single, cohesive frame, satisfying the 'lavish spread' requirement.\", \"reason_2\": \"Video 2 focuses heavily on the rice and dumplings but the spring rolls are less distinct, and the overall arrangement feels less like a complete spread.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Attribute Fidelity (Texture & Sheen)\", \"reason_1\": \"The food in Video 1 has a realistic 'glistening' sheen and distinct textures for the rice and dumpling skins.\", \"reason_2\": \"The food textures in Video 2 appear somewhat plastic and lack the appetizing gloss described in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Table & Lighting)\", \"reason_1\": \"Video 1 depicts a warm, softly lit restaurant environment with a polished wooden table that reflects light naturally.\", \"reason_2\": \"Video 2 has flatter lighting and the table surface appears less polished and more generic.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the 'lavish spread' more effectively, showing distinct, recognizable dishes that match the prompt's descriptions (dumplings, spring rolls, rice) with high fidelity. Video 2 struggles with the clarity of the secondary dishes.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The dishes and table elements remain solid and consistent in shape throughout the camera movement.\", \"reason_2\": \"Video 2 exhibits severe morphing; the chopsticks and bowls warp and change shape unnaturally as the camera moves.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with high resolution and clear details on the food ingredients.\", \"reason_2\": \"The video is blurry and lacks definition, making the food look muddy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The camera pan is smooth and cinematic.\", \"reason_2\": \"The motion feels slightly jerky and induces distortion in the background elements.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity. Video 2 fails significantly in this category due to noticeable warping and distortion of objects during camera movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Culinary Aesthetics (Appetizing Appeal)\", \"reason_1\": \"The food looks delicious, vibrant, and professionally plated, evoking the 'indulge' aspect of the prompt.\", \"reason_2\": \"The food looks artificial and unappealing due to the low-quality rendering.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing successfully captures the abundance of the table without feeling cluttered.\", \"reason_2\": \"The framing is tight and somewhat awkward, cutting off dishes abruptly.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Color Harmony & Vibrancy\", \"reason_1\": \"Colors are vibrant and distinct, separating the ingredients well.\", \"reason_2\": \"Colors are washed out and lack the 'burst of color' requested for the chicken dish.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 succeeds in creating an appetizing and inviting visual experience, whereas Video 2's technical flaws detract from the aesthetic appeal.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, stability, and appetizing presentation. It accurately renders the textures of the food (glistening dumplings, distinct rice grains) and maintains a consistent, high-quality image throughout the camera movement. Video 2 suffers from significant morphological instability, where objects like chopsticks and bowls warp and distort during motion, and the overall image lacks the sharpness and 'lavish' aesthetic required by the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A close-up reveals a lavish spread of Chinese cuisine on a polished wooden table, set in a softly lit restaurant ambiance. The table is adorned with intricately designed porcelain plates and bowls, each brimming with vibrant dishes. Steaming dumplings, glistening with a light sheen, sit beside a platter of crispy spring rolls. A large bowl of fragrant fried rice, speckled with colorful vegetables and tender shrimp, takes center stage. Nearby, a sizzling plate of sweet and sour chicken, garnished with fresh pineapple and bell peppers, adds a burst of color. Delicate chopsticks rest beside each dish, inviting diners to indulge in this culinary feast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Inventory Completeness", "reason_1": "Video 1 clearly displays the dumplings, spring rolls, and fried rice in a single, cohesive frame, satisfying the 'lavish spread' requirement.", "reason_2": "Video 2 focuses heavily on the rice and dumplings but the spring rolls are less distinct, and the overall arrangement feels less like a complete spread.", "score_1": 7, "score_2": 3}, {"name": "Attribute Fidelity (Texture & Sheen)", "reason_1": "The food in Video 1 has a realistic 'glistening' sheen and distinct textures for the rice and dumpling skins.", "reason_2": "The food textures in Video 2 appear somewhat plastic and lack the appetizing gloss described in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Table & Lighting)", "reason_1": "Video 1 depicts a warm, softly lit restaurant environment with a polished wooden table that reflects light naturally.", "reason_2": "Video 2 has flatter lighting and the table surface appears less polished and more generic.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the 'lavish spread' more effectively, showing distinct, recognizable dishes that match the prompt's descriptions (dumplings, spring rolls, rice) with high fidelity. Video 2 struggles with the clarity of the secondary dishes.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The dishes and table elements remain solid and consistent in shape throughout the camera movement.", "reason_2": "Video 2 exhibits severe morphing; the chopsticks and bowls warp and change shape unnaturally as the camera moves.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with high resolution and clear details on the food ingredients.", "reason_2": "The video is blurry and lacks definition, making the food look muddy.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness", "reason_1": "The camera pan is smooth and cinematic.", "reason_2": "The motion feels slightly jerky and induces distortion in the background elements.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity. Video 2 fails significantly in this category due to noticeable warping and distortion of objects during camera movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Culinary Aesthetics (Appetizing Appeal)", "reason_1": "The food looks delicious, vibrant, and professionally plated, evoking the 'indulge' aspect of the prompt.", "reason_2": "The food looks artificial and unappealing due to the low-quality rendering.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The framing successfully captures the abundance of the table without feeling cluttered.", "reason_2": "The framing is tight and somewhat awkward, cutting off dishes abruptly.", "score_1": 7, "score_2": 3}, {"name": "Color Harmony & Vibrancy", "reason_1": "Colors are vibrant and distinct, separating the ingredients well.", "reason_2": "Colors are washed out and lack the 'burst of color' requested for the chicken dish.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 succeeds in creating an appetizing and inviting visual experience, whereas Video 2's technical flaws detract from the aesthetic appeal.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, stability, and appetizing presentation. It accurately renders the textures of the food (glistening dumplings, distinct rice grains) and maintains a consistent, high-quality image throughout the camera movement. Video 2 suffers from significant morphological instability, where objects like chopsticks and bowls warp and distort during motion, and the overall image lacks the sharpness and 'lavish' aesthetic required by the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 56.028} +{"pair_id": "026_seed_310", "sample_index": 26, "seed": 310, "prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_310_In a bustling office environment an Asian man in a.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_310_In a bustling office environment an Asian man in a.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_026_seed_310_In a bustling office environment an Asian man in a.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_026_seed_310_In a bustling office environment an Asian man in a.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Context (Bustling Office)\", \"reason_1\": \"Video 1 depicts a cluttered, busy office with background activity, perfectly matching the 'bustling' descriptor.\", \"reason_2\": \"Video 2 shows a sterile, empty office with no background activity, failing to convey the 'bustling' atmosphere.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Fidelity (Fingers Tapping)\", \"reason_1\": \"Video 1 fails to generate the specific 'fingers tapping' action; the subject's hands remain clasped on the desk.\", \"reason_2\": \"Video 2 also fails to generate the tapping action, showing the subject with hands clasped throughout the clip.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Subject Attributes & Attire\", \"reason_1\": \"Video 1 accurately renders the Asian man, white shirt, and navy tie with high detail.\", \"reason_2\": \"Video 2 accurately renders the requested subject and attire, though with slightly less texture detail.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Emotional Expression (Furrow/Disbelief)\", \"reason_1\": \"Video 1 captures a nuanced expression of disbelief and frustration that aligns well with the prompt's emotional arc.\", \"reason_2\": \"Video 2 displays a generic expression of concern that lacks the specific intensity of 'disbelief' or 'frustration'.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the environmental context of a 'bustling' office much better than Video 2. Both videos fail the specific instruction for 'fingers tapping', but Video 1's overall scene composition is more accurate to the text.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Video 1 features sharp, high-resolution textures on the skin, clothing, and paper stacks.\", \"reason_2\": \"Video 2 appears softer and flatter, lacking the crisp definition found in Video 1.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Depth\", \"reason_1\": \"Video 1 utilizes cinematic lighting with good contrast and depth of field, separating the subject from the background.\", \"reason_2\": \"Video 2 uses flat, even lighting that makes the image look more like a stock photo than a cinematic scene.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent throughout the motion.\", \"reason_2\": \"The subject's identity is stable, though the lower detail makes it easier to maintain.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 1 demonstrates significantly higher production value with better lighting, texture, and depth of field compared to the flatter look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tension\", \"reason_1\": \"The cluttered environment and lighting in Video 1 successfully evoke the feeling of 'tension' and 'internal struggle' mentioned in the prompt.\", \"reason_2\": \"The clean, bright environment of Video 2 fails to convey any sense of tension or struggle.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a more professional angle and framing that emphasizes the subject's isolation amidst the chaos.\", \"reason_2\": \"Video 2 uses a standard, somewhat uninspired medium shot with less artistic merit.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Engagement\", \"reason_1\": \"The visual storytelling in Video 1 (the messy desk, the intense look) implies a story of unfair treatment effectively.\", \"reason_2\": \"Video 2 feels like a generic reaction shot without strong narrative weight.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 creates a much stronger mood of tension and internal struggle through its composition and set design, whereas Video 2 feels emotionally neutral.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior adherence to the atmospheric requirements of the prompt and higher visual fidelity. It successfully depicts a 'bustling' environment with background activity and clutter, whereas Video 2 presents a sterile, empty office. While both videos fail to generate the specific 'fingers tapping' action, Video 1 excels in cinematic lighting, texture detail, and emotional expression, creating a much more convincing portrayal of the requested tension and frustration.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling office environment, an Asian man in a crisp white shirt and navy tie sits at his desk, surrounded by stacks of paperwork and a computer screen displaying spreadsheets. The camera zooms in on his face, capturing the subtle furrow of his brow and the slight clench of his jaw as he listens to a conversation happening just out of frame. His eyes flicker with a mix of disbelief and frustration, reflecting the unfair treatment he's experiencing. As the scene progresses, he takes a deep breath, his fingers tapping rhythmically on the desk, a silent protest against the injustice. The ambient office noise fades, highlighting his internal struggle and determination to maintain composure amidst the tension.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Context (Bustling Office)", "reason_1": "Video 1 depicts a cluttered, busy office with background activity, perfectly matching the 'bustling' descriptor.", "reason_2": "Video 2 shows a sterile, empty office with no background activity, failing to convey the 'bustling' atmosphere.", "score_1": 9, "score_2": 1}, {"name": "Action Fidelity (Fingers Tapping)", "reason_1": "Video 1 fails to generate the specific 'fingers tapping' action; the subject's hands remain clasped on the desk.", "reason_2": "Video 2 also fails to generate the tapping action, showing the subject with hands clasped throughout the clip.", "score_1": 5, "score_2": 5}, {"name": "Subject Attributes & Attire", "reason_1": "Video 1 accurately renders the Asian man, white shirt, and navy tie with high detail.", "reason_2": "Video 2 accurately renders the requested subject and attire, though with slightly less texture detail.", "score_1": 5, "score_2": 5}, {"name": "Emotional Expression (Furrow/Disbelief)", "reason_1": "Video 1 captures a nuanced expression of disbelief and frustration that aligns well with the prompt's emotional arc.", "reason_2": "Video 2 displays a generic expression of concern that lacks the specific intensity of 'disbelief' or 'frustration'.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the environmental context of a 'bustling' office much better than Video 2. Both videos fail the specific instruction for 'fingers tapping', but Video 1's overall scene composition is more accurate to the text.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture", "reason_1": "Video 1 features sharp, high-resolution textures on the skin, clothing, and paper stacks.", "reason_2": "Video 2 appears softer and flatter, lacking the crisp definition found in Video 1.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Depth", "reason_1": "Video 1 utilizes cinematic lighting with good contrast and depth of field, separating the subject from the background.", "reason_2": "Video 2 uses flat, even lighting that makes the image look more like a stock photo than a cinematic scene.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent throughout the motion.", "reason_2": "The subject's identity is stable, though the lower detail makes it easier to maintain.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 1 demonstrates significantly higher production value with better lighting, texture, and depth of field compared to the flatter look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tension", "reason_1": "The cluttered environment and lighting in Video 1 successfully evoke the feeling of 'tension' and 'internal struggle' mentioned in the prompt.", "reason_2": "The clean, bright environment of Video 2 fails to convey any sense of tension or struggle.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a more professional angle and framing that emphasizes the subject's isolation amidst the chaos.", "reason_2": "Video 2 uses a standard, somewhat uninspired medium shot with less artistic merit.", "score_1": 7, "score_2": 3}, {"name": "Narrative Engagement", "reason_1": "The visual storytelling in Video 1 (the messy desk, the intense look) implies a story of unfair treatment effectively.", "reason_2": "Video 2 feels like a generic reaction shot without strong narrative weight.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 creates a much stronger mood of tension and internal struggle through its composition and set design, whereas Video 2 feels emotionally neutral.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior adherence to the atmospheric requirements of the prompt and higher visual fidelity. It successfully depicts a 'bustling' environment with background activity and clutter, whereas Video 2 presents a sterile, empty office. While both videos fail to generate the specific 'fingers tapping' action, Video 1 excels in cinematic lighting, texture detail, and emotional expression, creating a much more convincing portrayal of the requested tension and frustration.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 69.0, "total_score_2": 31.0, "elapsed_sec": 61.445} +{"pair_id": "029_seed_42", "sample_index": 29, "seed": 42, "prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_029_seed_42_In a serene dimly lit studio a graceful Chinese wo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Decor)\", \"reason_1\": \"Video 1 perfectly captures the 'dimly lit studio' with 'soft lighting' and a minimalist background, creating the requested serene mood.\", \"reason_2\": \"Video 2 presents a brightly lit room with heavy curtains, completely missing the 'dimly lit' and 'minimalist' descriptors.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Gown & Hair)\", \"reason_1\": \"The subject wears a gown that appears to be made of silk, and the hair sways naturally as requested.\", \"reason_2\": \"While the subject is correct, the gown lacks the specific 'silk' texture definition, appearing more generic, and the hair movement is less distinct.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Action Fidelity (Twirls & Fluidity)\", \"reason_1\": \"The dancer performs the requested twirls with a sense of weight and precision.\", \"reason_2\": \"The dancer performs the actions, but the movement feels slightly more mechanical and less 'elegant' than Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 accurately renders the specific environmental cues (dimly lit, minimalist) and the material attributes (silk), whereas Video 2 fails to capture the requested lighting atmosphere.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Cloth Physics & Simulation (Silk Dynamics)\", \"reason_1\": \"The fabric moves with realistic weight, drag, and folding, perfectly matching the 'billows like waves' description.\", \"reason_2\": \"The dress movement is stiff and lacks the complex folding and flowing physics expected of silk.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Identity & Facial Stability\", \"reason_1\": \"The subject's face remains relatively consistent and recognizable throughout the rotation.\", \"reason_2\": \"The subject's facial features distort and blur significantly during the spin, losing identity coherence.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Smoothness & Clarity\", \"reason_1\": \"The video maintains good sharpness during fast motion.\", \"reason_2\": \"There is noticeable motion blur and loss of detail during the rapid movements.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior physics simulation for the clothing and better temporal stability for the subject's face compared to Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Contrast\", \"reason_1\": \"The use of spotlights against a dark background creates the 'contrast' and 'artistry' explicitly requested in the prompt.\", \"reason_2\": \"The lighting is flat and uniform, lacking any dramatic or artistic contrast.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Appeal & Mood\", \"reason_1\": \"The clip feels like a professional performance recording, evoking the 'serene' and 'mesmerizing' mood.\", \"reason_2\": \"The clip feels like a raw, unpolished generation with a mundane background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Movement Execution\", \"reason_1\": \"The camera circles smoothly, keeping the subject well-framed and enhancing the 3D depth.\", \"reason_2\": \"The camera movement is present but feels slightly less intentional in its framing of the subject.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 achieves a cinematic look through excellent lighting contrast and composition, fulfilling the 'mesmerizing visual symphony' aspect of the prompt.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it strictly adheres to the atmospheric requirements of the prompt, specifically the 'dimly lit' and 'minimalist' studio setting, which Video 2 fails to achieve. Furthermore, Video 1 exhibits significantly superior cloth physics, rendering the 'flowing red silk gown' with realistic weight and fluidity, whereas Video 2's fabric appears stiffer. The lighting contrast in Video 1 also enhances the aesthetic appeal, aligning better with the requested 'artistry'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene, dimly lit studio, a graceful Chinese woman dancer, dressed in a flowing red silk gown, performs an elegant routine. The camera circles around her, capturing the fluidity of her movements as she twirls and leaps with precision. Her long, dark hair sways rhythmically, accentuating each motion. The contrast between her dynamic dance and the stationary environment, with its minimalist decor and soft lighting, highlights her artistry. As she moves, the fabric of her gown billows like waves, creating a mesmerizing visual symphony. Her expressions, a blend of focus and passion, tell a story of dedication and grace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Decor)", "reason_1": "Video 1 perfectly captures the 'dimly lit studio' with 'soft lighting' and a minimalist background, creating the requested serene mood.", "reason_2": "Video 2 presents a brightly lit room with heavy curtains, completely missing the 'dimly lit' and 'minimalist' descriptors.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Gown & Hair)", "reason_1": "The subject wears a gown that appears to be made of silk, and the hair sways naturally as requested.", "reason_2": "While the subject is correct, the gown lacks the specific 'silk' texture definition, appearing more generic, and the hair movement is less distinct.", "score_1": 7, "score_2": 3}, {"name": "Action Fidelity (Twirls & Fluidity)", "reason_1": "The dancer performs the requested twirls with a sense of weight and precision.", "reason_2": "The dancer performs the actions, but the movement feels slightly more mechanical and less 'elegant' than Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 accurately renders the specific environmental cues (dimly lit, minimalist) and the material attributes (silk), whereas Video 2 fails to capture the requested lighting atmosphere.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Cloth Physics & Simulation (Silk Dynamics)", "reason_1": "The fabric moves with realistic weight, drag, and folding, perfectly matching the 'billows like waves' description.", "reason_2": "The dress movement is stiff and lacks the complex folding and flowing physics expected of silk.", "score_1": 8, "score_2": 2}, {"name": "Subject Identity & Facial Stability", "reason_1": "The subject's face remains relatively consistent and recognizable throughout the rotation.", "reason_2": "The subject's facial features distort and blur significantly during the spin, losing identity coherence.", "score_1": 7, "score_2": 3}, {"name": "Motion Smoothness & Clarity", "reason_1": "The video maintains good sharpness during fast motion.", "reason_2": "There is noticeable motion blur and loss of detail during the rapid movements.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior physics simulation for the clothing and better temporal stability for the subject's face compared to Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Contrast", "reason_1": "The use of spotlights against a dark background creates the 'contrast' and 'artistry' explicitly requested in the prompt.", "reason_2": "The lighting is flat and uniform, lacking any dramatic or artistic contrast.", "score_1": 9, "score_2": 1}, {"name": "Visual Appeal & Mood", "reason_1": "The clip feels like a professional performance recording, evoking the 'serene' and 'mesmerizing' mood.", "reason_2": "The clip feels like a raw, unpolished generation with a mundane background.", "score_1": 8, "score_2": 2}, {"name": "Camera Movement Execution", "reason_1": "The camera circles smoothly, keeping the subject well-framed and enhancing the 3D depth.", "reason_2": "The camera movement is present but feels slightly less intentional in its framing of the subject.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 achieves a cinematic look through excellent lighting contrast and composition, fulfilling the 'mesmerizing visual symphony' aspect of the prompt.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it strictly adheres to the atmospheric requirements of the prompt, specifically the 'dimly lit' and 'minimalist' studio setting, which Video 2 fails to achieve. Furthermore, Video 1 exhibits significantly superior cloth physics, rendering the 'flowing red silk gown' with realistic weight and fluidity, whereas Video 2's fabric appears stiffer. The lighting contrast in Video 1 also enhances the aesthetic appeal, aligning better with the requested 'artistry'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 55.815} +{"pair_id": "031_seed_930", "sample_index": 31, "seed": 930, "prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_031_seed_930_The camera zooms in on nimble fingers deftly assem.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Deft Assembly)\", \"reason_1\": \"The hands in Video 1 appear to be molding or melting the object rather than assembling distinct parts; the action lacks mechanical logic.\", \"reason_2\": \"Video 2 depicts precise, logical finger movements that mimic the actual assembly of a mechanical kit, aligning perfectly with 'deftly assembling'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Object Definition (Complex Mechanical Model)\", \"reason_1\": \"The object is a vague, shifting mass of metallic textures without clear gears or components.\", \"reason_2\": \"The object is clearly defined as a complex mechanical model (resembling a Gundam kit) with distinct parts, armor, and internal mechanisms.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Movement (Zoom & Reveal)\", \"reason_1\": \"Video 1 attempts a slight zoom but fails to execute the 'pull back to reveal' ending effectively.\", \"reason_2\": \"Video 2 maintains a stable, clear shot that allows the viewer to see the model's form, though it also misses the dramatic 'pull back' ending, it is far more stable.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 accurately depicts the specific action of 'assembling' with distinct parts, whereas Video 1 depicts a vague interaction with a morphing object.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Object Permanence)\", \"reason_1\": \"The mechanical model constantly changes shape, size, and texture, exhibiting severe temporal incoherence.\", \"reason_2\": \"The model maintains rigid, consistent geometry throughout the clip, behaving like a solid physical object.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Anatomical Consistency (Hands)\", \"reason_1\": \"The fingers occasionally blend into the object or lose structural integrity during movement.\", \"reason_2\": \"The hands remain anatomically correct with distinct fingers and realistic skin texture throughout the motion.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Textures are muddy and blurred, lacking the 'gleaming' quality requested.\", \"reason_2\": \"Textures are sharp and realistic, clearly distinguishing between the plastic/metal of the model and the skin of the hands.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates near-perfect stability and realism, while Video 1 is plagued by severe AI hallucinations and morphing artifacts.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Portrayal of Expertise & Focus\", \"reason_1\": \"The chaotic morphing of the object undermines any sense of 'precision' or 'expertise'.\", \"reason_2\": \"The steady, controlled movements of the hands effectively convey the 'expertise and focus' described in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Atmosphere\", \"reason_1\": \"Lighting is somewhat flat and the background is cluttered.\", \"reason_2\": \"Lighting is clean and bright, highlighting the details of the model effectively.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually confusing due to the lack of object permanence.\", \"reason_2\": \"The video is aesthetically pleasing, resembling a high-quality product showcase or hobbyist tutorial.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 successfully conveys the mood of 'meticulous craftsmanship' through clean visuals and steady motion, whereas Video 1 feels chaotic and unfinished.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Mechanical Interaction & Physics\", \"dims\": [{\"name\": \"Component Distinctness\", \"reason_1\": \"There are no distinct components; the 'model' is a single morphing blob.\", \"reason_2\": \"Individual parts (armor plates, frame) are clearly visible and distinct from one another.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Interaction Logic (Fingers vs Object)\", \"reason_1\": \"The interaction is illogical; fingers clip through the object or merge with it.\", \"reason_2\": \"The interaction is physically plausible; fingers grasp and manipulate the object without clipping.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Representation of 'Precision'\", \"reason_1\": \"The movement is jittery and lacks the 'precision' required by the prompt.\", \"reason_2\": \"The fine motor movements shown accurately represent the 'precision' of assembling small mechanical parts.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"This personalized category assesses the specific requirement of 'mechanical' interaction. Video 2 respects physical boundaries, while Video 1 ignores them.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in terms of temporal stability, object permanence, and anatomical consistency. It depicts a coherent, rigid mechanical model being assembled with logical hand movements, whereas Video 1 suffers from severe morphological hallucinations where the object and hands constantly morph and blend together.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera zooms in on nimble fingers deftly assembling a complex mechanical model, each piece clicking into place with precision. The character's hands, steady and skilled, move swiftly, showcasing their expertise and focus. The camera captures the intricate details of gears and components being expertly aligned, the soft clinking sounds adding to the intensity. As the model takes shape, the hands work in perfect harmony, a dance of dexterity and speed. Finally, the camera pulls back to reveal the completed model, a masterpiece of engineering, gleaming under the soft light, symbolizing the culmination of meticulous craftsmanship.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Deft Assembly)", "reason_1": "The hands in Video 1 appear to be molding or melting the object rather than assembling distinct parts; the action lacks mechanical logic.", "reason_2": "Video 2 depicts precise, logical finger movements that mimic the actual assembly of a mechanical kit, aligning perfectly with 'deftly assembling'.", "score_1": 2, "score_2": 8}, {"name": "Object Definition (Complex Mechanical Model)", "reason_1": "The object is a vague, shifting mass of metallic textures without clear gears or components.", "reason_2": "The object is clearly defined as a complex mechanical model (resembling a Gundam kit) with distinct parts, armor, and internal mechanisms.", "score_1": 3, "score_2": 7}, {"name": "Camera Movement (Zoom & Reveal)", "reason_1": "Video 1 attempts a slight zoom but fails to execute the 'pull back to reveal' ending effectively.", "reason_2": "Video 2 maintains a stable, clear shot that allows the viewer to see the model's form, though it also misses the dramatic 'pull back' ending, it is far more stable.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 accurately depicts the specific action of 'assembling' with distinct parts, whereas Video 1 depicts a vague interaction with a morphing object.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Object Permanence)", "reason_1": "The mechanical model constantly changes shape, size, and texture, exhibiting severe temporal incoherence.", "reason_2": "The model maintains rigid, consistent geometry throughout the clip, behaving like a solid physical object.", "score_1": 1, "score_2": 9}, {"name": "Anatomical Consistency (Hands)", "reason_1": "The fingers occasionally blend into the object or lose structural integrity during movement.", "reason_2": "The hands remain anatomically correct with distinct fingers and realistic skin texture throughout the motion.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Texture", "reason_1": "Textures are muddy and blurred, lacking the 'gleaming' quality requested.", "reason_2": "Textures are sharp and realistic, clearly distinguishing between the plastic/metal of the model and the skin of the hands.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates near-perfect stability and realism, while Video 1 is plagued by severe AI hallucinations and morphing artifacts.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Portrayal of Expertise & Focus", "reason_1": "The chaotic morphing of the object undermines any sense of 'precision' or 'expertise'.", "reason_2": "The steady, controlled movements of the hands effectively convey the 'expertise and focus' described in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Atmosphere", "reason_1": "Lighting is somewhat flat and the background is cluttered.", "reason_2": "Lighting is clean and bright, highlighting the details of the model effectively.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually confusing due to the lack of object permanence.", "reason_2": "The video is aesthetically pleasing, resembling a high-quality product showcase or hobbyist tutorial.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 successfully conveys the mood of 'meticulous craftsmanship' through clean visuals and steady motion, whereas Video 1 feels chaotic and unfinished.", "cat_winner": "Video 2"}, {"name": "D. Mechanical Interaction & Physics", "dims": [{"name": "Component Distinctness", "reason_1": "There are no distinct components; the 'model' is a single morphing blob.", "reason_2": "Individual parts (armor plates, frame) are clearly visible and distinct from one another.", "score_1": 1, "score_2": 9}, {"name": "Interaction Logic (Fingers vs Object)", "reason_1": "The interaction is illogical; fingers clip through the object or merge with it.", "reason_2": "The interaction is physically plausible; fingers grasp and manipulate the object without clipping.", "score_1": 2, "score_2": 8}, {"name": "Representation of 'Precision'", "reason_1": "The movement is jittery and lacks the 'precision' required by the prompt.", "reason_2": "The fine motor movements shown accurately represent the 'precision' of assembling small mechanical parts.", "score_1": 2, "score_2": 8}], "cat_reason": "This personalized category assesses the specific requirement of 'mechanical' interaction. Video 2 respects physical boundaries, while Video 1 ignores them.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in terms of temporal stability, object permanence, and anatomical consistency. It depicts a coherent, rigid mechanical model being assembled with logical hand movements, whereas Video 1 suffers from severe morphological hallucinations where the object and hands constantly morph and blend together.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 29.0, "total_score_2": 91.0, "elapsed_sec": 66.424} +{"pair_id": "034_seed_310", "sample_index": 34, "seed": 310, "prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_310_A vibrant group of Caribbean dancers adorned in da.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_310_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_034_seed_310_A vibrant group of Caribbean dancers adorned in da.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_034_seed_310_A vibrant group of Caribbean dancers adorned in da.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Costume Attribute Fidelity (Colors & Materials)\", \"reason_1\": \"Video 1 perfectly renders the requested turquoise, magenta, and gold hues with high-definition feather textures that shimmer as requested.\", \"reason_2\": \"Video 2 presents the correct colors, but the textures are muddy and lack the 'dazzling' and 'shimmering' quality specified in the prompt.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Expression & Emotional Tone\", \"reason_1\": \"The dancers in Video 1 display clear, joyous expressions that align with the 'infectious' energy described.\", \"reason_2\": \"The faces in Video 2 are heavily distorted and morph constantly, failing to convey the requested joyous human emotion.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Specificity (Rhythmic Sway & Flutter)\", \"reason_1\": \"Video 1 captures the rhythmic hip sway and the specific physics of feathers fluttering in response to movement.\", \"reason_2\": \"Video 2 shows movement, but it is jerky and lacks the specific 'fluttering' physics of the feathers, which appear as solid blobs.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately captures the specific color palette and the 'joyous' expressions requested, whereas Video 2's facial distortions negate the emotional prompt requirements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Faces & Bodies)\", \"reason_1\": \"The subjects maintain consistent anatomical structure and facial identity throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and warping of faces and limbs, breaking the illusion of reality completely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Texture Resolution & Sharpness\", \"reason_1\": \"The image is crisp, with individual feathers and skin textures clearly defined.\", \"reason_2\": \"The video is blurry and low-resolution, with significant noise obscuring the details of the costumes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and the interaction between the dancers and their heavy costumes feels physically grounded.\", \"reason_2\": \"The motion is stuttery and unnatural, with the dancers appearing to float or glitch rather than dance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by severe artifacts and temporal inconsistency.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Vibrancy & Color Harmony\", \"reason_1\": \"The colors are vibrant and well-balanced, creating the 'kaleidoscope' effect mentioned in the prompt.\", \"reason_2\": \"The colors are present but washed out by the overall blurriness and lack of contrast.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Camera Tracking & Composition\", \"reason_1\": \"The camera smoothly follows the group, keeping the dancers well-framed and focused.\", \"reason_2\": \"The framing is acceptable, but the camera movement feels less intentional and contributes to the overall instability.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"Successfully encapsulates the 'essence of Caribbean celebration' through lighting and energy.\", \"reason_2\": \"Fails to create an immersive atmosphere due to the distracting technical flaws.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 offers a visually pleasing and immersive experience with good lighting and composition, whereas Video 2 is visually jarring due to technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is significantly superior in terms of visual fidelity, temporal stability, and semantic accuracy. It successfully renders the intricate details of the costumes (feathers, colors) and maintains the dancers' anatomical consistency and joyous expressions throughout. Video 2 suffers from severe morphological instability, with faces and bodies distorting heavily, and lacks the sharpness and fluid motion required to depict the 'intricate footwork' and 'fluttering feathers' effectively.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A vibrant group of Caribbean dancers, adorned in dazzling costumes bursting with feathers and sequins, captivates the carnival crowd. The camera captures their every move, following the rhythmic sway of their hips and the intricate footwork that matches the pulsating beats of lively calypso music. Their costumes shimmer under the bright sunlight, with hues of turquoise, magenta, and gold creating a kaleidoscope of color. The dancers' expressions are joyous and infectious, their energy palpable as they twirl and leap, feathers fluttering with each movement. The scene is alive with the sounds of steel drums and cheering spectators, encapsulating the essence of Caribbean celebration.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Costume Attribute Fidelity (Colors & Materials)", "reason_1": "Video 1 perfectly renders the requested turquoise, magenta, and gold hues with high-definition feather textures that shimmer as requested.", "reason_2": "Video 2 presents the correct colors, but the textures are muddy and lack the 'dazzling' and 'shimmering' quality specified in the prompt.", "score_1": 8, "score_2": 2}, {"name": "Expression & Emotional Tone", "reason_1": "The dancers in Video 1 display clear, joyous expressions that align with the 'infectious' energy described.", "reason_2": "The faces in Video 2 are heavily distorted and morph constantly, failing to convey the requested joyous human emotion.", "score_1": 9, "score_2": 1}, {"name": "Action Specificity (Rhythmic Sway & Flutter)", "reason_1": "Video 1 captures the rhythmic hip sway and the specific physics of feathers fluttering in response to movement.", "reason_2": "Video 2 shows movement, but it is jerky and lacks the specific 'fluttering' physics of the feathers, which appear as solid blobs.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately captures the specific color palette and the 'joyous' expressions requested, whereas Video 2's facial distortions negate the emotional prompt requirements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Faces & Bodies)", "reason_1": "The subjects maintain consistent anatomical structure and facial identity throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and warping of faces and limbs, breaking the illusion of reality completely.", "score_1": 9, "score_2": 1}, {"name": "Texture Resolution & Sharpness", "reason_1": "The image is crisp, with individual feathers and skin textures clearly defined.", "reason_2": "The video is blurry and low-resolution, with significant noise obscuring the details of the costumes.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and the interaction between the dancers and their heavy costumes feels physically grounded.", "reason_2": "The motion is stuttery and unnatural, with the dancers appearing to float or glitch rather than dance.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by severe artifacts and temporal inconsistency.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Vibrancy & Color Harmony", "reason_1": "The colors are vibrant and well-balanced, creating the 'kaleidoscope' effect mentioned in the prompt.", "reason_2": "The colors are present but washed out by the overall blurriness and lack of contrast.", "score_1": 8, "score_2": 2}, {"name": "Camera Tracking & Composition", "reason_1": "The camera smoothly follows the group, keeping the dancers well-framed and focused.", "reason_2": "The framing is acceptable, but the camera movement feels less intentional and contributes to the overall instability.", "score_1": 7, "score_2": 3}, {"name": "Atmospheric Immersion", "reason_1": "Successfully encapsulates the 'essence of Caribbean celebration' through lighting and energy.", "reason_2": "Fails to create an immersive atmosphere due to the distracting technical flaws.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 offers a visually pleasing and immersive experience with good lighting and composition, whereas Video 2 is visually jarring due to technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is significantly superior in terms of visual fidelity, temporal stability, and semantic accuracy. It successfully renders the intricate details of the costumes (feathers, colors) and maintains the dancers' anatomical consistency and joyous expressions throughout. Video 2 suffers from severe morphological instability, with faces and bodies distorting heavily, and lacks the sharpness and fluid motion required to depict the 'intricate footwork' and 'fluttering feathers' effectively.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 73.0, "total_score_2": 17.0, "elapsed_sec": 57.23} +{"pair_id": "037_seed_42", "sample_index": 37, "seed": 42, "prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_037_seed_42_In a serene traditional Japanese courtyard a group.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Environmental Completeness\", \"reason_1\": \"Video 1 clearly depicts the samurai, the raked gravel, and the bonsai trees in a cohesive courtyard setting.\", \"reason_2\": \"Video 2 includes the elements, but the background details (trees and gravel) are less distinct and blend poorly with the subjects.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Attribute Fidelity (Armor & Weapons)\", \"reason_1\": \"The armor in Video 1 is highly detailed, showing the 'layered plates' and 'gleaming' texture requested. The katanas are held with precision.\", \"reason_2\": \"The armor in Video 2 lacks texture definition, appearing flat and plastic. The weapons are distorted and do not resemble precise katanas.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Movement & Focus\", \"reason_1\": \"Video 1 executes a smooth, cinematic pan that allows the viewer to appreciate the details of the armor as requested.\", \"reason_2\": \"Video 2 attempts a pan, but the motion feels slightly mechanical and fails to effectively highlight the details due to low fidelity.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately renders the 'elaborate armor' and 'intricate details' requested, whereas Video 2's subjects lack definition and the weapons appear distorted.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Resolution\", \"reason_1\": \"The video is sharp, with high-resolution textures on the fabric, metal, and gravel.\", \"reason_2\": \"The image is blurry and low-resolution, lacking any fine detail or realistic texture.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Faces & Objects)\", \"reason_1\": \"Subjects maintain their form well; faces are consistent and human-like.\", \"reason_2\": \"Faces are severely distorted and 'melted,' and the armor shapes fluctuate unnaturally.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting & Physical Plausibility\", \"reason_1\": \"Lighting is realistic, creating natural shadows and highlights on the armor.\", \"reason_2\": \"Lighting is flat and artificial, contributing to a 'video game' look rather than realism.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 maintains high visual fidelity and stability. Video 2 fails significantly in this category due to severe artifacts, blurring, and facial distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Serenity & Solemnity)\", \"reason_1\": \"The lighting and color grading successfully evoke a serene and solemn mood.\", \"reason_2\": \"The visual artifacts and distortion break any sense of immersion or mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"Uses depth of field effectively to separate the subjects from the background, enhancing the cinematic feel.\", \"reason_2\": \"The image is flat with poor separation between foreground and background.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Aesthetically pleasing and professional-looking generation.\", \"reason_2\": \"Visually unappealing due to low quality and distortion.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 captures the 'solemnity' and 'serenity' of the prompt through excellent lighting and composition. Video 2 lacks aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every aspect, offering a photorealistic, high-definition interpretation of the prompt with stable subject consistency and intricate armor details. Video 2 suffers from significant low-resolution artifacts, facial distortion, and a lack of textural detail, failing to capture the requested realism and solemnity.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a serene traditional Japanese courtyard, a group of samurai stands in formation, their elaborate armor gleaming under the soft sunlight. Each warrior holds a katana with precision, embodying centuries of discipline and honor. The camera pans slowly, capturing the intricate details of their armor, from the ornate helmets to the layered plates, each piece telling a story of heritage and valor. The courtyard, with its meticulously raked gravel and bonsai trees, provides a tranquil backdrop, enhancing the solemnity of the scene. As the camera focuses on their faces, the samurai's expressions reveal unwavering focus and a deep sense of duty.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Environmental Completeness", "reason_1": "Video 1 clearly depicts the samurai, the raked gravel, and the bonsai trees in a cohesive courtyard setting.", "reason_2": "Video 2 includes the elements, but the background details (trees and gravel) are less distinct and blend poorly with the subjects.", "score_1": 6, "score_2": 4}, {"name": "Attribute Fidelity (Armor & Weapons)", "reason_1": "The armor in Video 1 is highly detailed, showing the 'layered plates' and 'gleaming' texture requested. The katanas are held with precision.", "reason_2": "The armor in Video 2 lacks texture definition, appearing flat and plastic. The weapons are distorted and do not resemble precise katanas.", "score_1": 9, "score_2": 1}, {"name": "Camera Movement & Focus", "reason_1": "Video 1 executes a smooth, cinematic pan that allows the viewer to appreciate the details of the armor as requested.", "reason_2": "Video 2 attempts a pan, but the motion feels slightly mechanical and fails to effectively highlight the details due to low fidelity.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately renders the 'elaborate armor' and 'intricate details' requested, whereas Video 2's subjects lack definition and the weapons appear distorted.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Resolution", "reason_1": "The video is sharp, with high-resolution textures on the fabric, metal, and gravel.", "reason_2": "The image is blurry and low-resolution, lacking any fine detail or realistic texture.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Faces & Objects)", "reason_1": "Subjects maintain their form well; faces are consistent and human-like.", "reason_2": "Faces are severely distorted and 'melted,' and the armor shapes fluctuate unnaturally.", "score_1": 8, "score_2": 2}, {"name": "Lighting & Physical Plausibility", "reason_1": "Lighting is realistic, creating natural shadows and highlights on the armor.", "reason_2": "Lighting is flat and artificial, contributing to a 'video game' look rather than realism.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 maintains high visual fidelity and stability. Video 2 fails significantly in this category due to severe artifacts, blurring, and facial distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Serenity & Solemnity)", "reason_1": "The lighting and color grading successfully evoke a serene and solemn mood.", "reason_2": "The visual artifacts and distortion break any sense of immersion or mood.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Depth", "reason_1": "Uses depth of field effectively to separate the subjects from the background, enhancing the cinematic feel.", "reason_2": "The image is flat with poor separation between foreground and background.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Aesthetically pleasing and professional-looking generation.", "reason_2": "Visually unappealing due to low quality and distortion.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 captures the 'solemnity' and 'serenity' of the prompt through excellent lighting and composition. Video 2 lacks aesthetic appeal due to its technical flaws.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every aspect, offering a photorealistic, high-definition interpretation of the prompt with stable subject consistency and intricate armor details. Video 2 suffers from significant low-resolution artifacts, facial distortion, and a lack of textural detail, failing to capture the requested realism and solemnity.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 53.582} +{"pair_id": "039_seed_930", "sample_index": 39, "seed": 930, "prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_039_seed_930_A warm inviting scene unfolds as a Latin American.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Cultural & Environmental Fidelity\", \"reason_1\": \"Video 1 perfectly captures the 'vibrant, handwoven textiles' and 'rustic' atmosphere with high-quality textures and appropriate decor.\", \"reason_2\": \"Video 2 presents a flatter, more generic environment where the textiles lack the requested vibrancy and texture.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Interaction & Action Logic\", \"reason_1\": \"The family in Video 1 engages in natural, animated conversation with realistic gestures.\", \"reason_2\": \"Video 2 attempts the 'reaching' action, but the motion is unnatural and results in severe anatomical distortion, breaking the semantic logic of the scene.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Specific Object Rendering (Food)\", \"reason_1\": \"Video 1 renders distinct, appetizing food items that resemble the requested empanadas and stews.\", \"reason_2\": \"The food in Video 2 is blurry and indistinct, making it difficult to identify specific dishes like the guacamole or tamales.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the specific cultural elements and interactions requested, whereas Video 2 struggles with the physical logic of the interactions.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Anatomy)\", \"reason_1\": \"Subjects maintain consistent facial features and body structures throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting' and warping of faces and hands, particularly the child in the foreground and the woman on the right.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is crisp, with high-definition textures on clothing and food.\", \"reason_2\": \"The video appears soft, washed out, and lacks fine detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"Movement is fluid and grounded in reality.\", \"reason_2\": \"Motion is jerky and fluid-like in a negative way, with objects and limbs morphing rather than moving rigidly.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by significant artifacts and warping.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tone (Warmth & Coziness)\", \"reason_1\": \"The lighting and color grading successfully evoke the 'warm glow' and 'cozy' atmosphere described.\", \"reason_2\": \"The lighting is flat and cool, failing to convey the requested warmth.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is balanced, keeping all family members clearly visible and engaged.\", \"reason_2\": \"The composition is cluttered, with foreground elements (like the child's arm) obscuring the view awkwardly.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Aesthetically pleasing and commercially viable footage.\", \"reason_2\": \"Visually distracting due to artifacts and poor rendering.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 creates a convincing and inviting cinematic scene, whereas Video 2 feels like a low-quality generation.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, morphological stability, and accurate capture of the prompt's cultural and atmospheric details. It successfully renders the vibrant textiles and food with high definition and maintains consistent character identities. Video 2 suffers from severe temporal instability, with significant warping of faces and hands, and lacks the textural richness required by the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A warm, inviting scene unfolds as a Latin American family gathers around a rustic wooden table, adorned with vibrant, handwoven textiles. The camera pans slowly, capturing the colorful array of traditional dishes: steaming tamales wrapped in corn husks, a fragrant pot of arroz con pollo, and a platter of empanadas. The family, dressed in casual, colorful attire, engages in animated conversation, their laughter and lively chatter filling the air. The camera lingers on the grandmother, her eyes twinkling as she shares a story, while children eagerly reach for a bowl of fresh guacamole. The room is filled with the aroma of spices, and the warm glow of candlelight enhances the cozy, familial atmosphere.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Cultural & Environmental Fidelity", "reason_1": "Video 1 perfectly captures the 'vibrant, handwoven textiles' and 'rustic' atmosphere with high-quality textures and appropriate decor.", "reason_2": "Video 2 presents a flatter, more generic environment where the textiles lack the requested vibrancy and texture.", "score_1": 8, "score_2": 2}, {"name": "Subject Interaction & Action Logic", "reason_1": "The family in Video 1 engages in natural, animated conversation with realistic gestures.", "reason_2": "Video 2 attempts the 'reaching' action, but the motion is unnatural and results in severe anatomical distortion, breaking the semantic logic of the scene.", "score_1": 7, "score_2": 3}, {"name": "Specific Object Rendering (Food)", "reason_1": "Video 1 renders distinct, appetizing food items that resemble the requested empanadas and stews.", "reason_2": "The food in Video 2 is blurry and indistinct, making it difficult to identify specific dishes like the guacamole or tamales.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the specific cultural elements and interactions requested, whereas Video 2 struggles with the physical logic of the interactions.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Anatomy)", "reason_1": "Subjects maintain consistent facial features and body structures throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting' and warping of faces and hands, particularly the child in the foreground and the woman on the right.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is crisp, with high-definition textures on clothing and food.", "reason_2": "The video appears soft, washed out, and lacks fine detail.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "Movement is fluid and grounded in reality.", "reason_2": "Motion is jerky and fluid-like in a negative way, with objects and limbs morphing rather than moving rigidly.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity, while Video 2 is plagued by significant artifacts and warping.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tone (Warmth & Coziness)", "reason_1": "The lighting and color grading successfully evoke the 'warm glow' and 'cozy' atmosphere described.", "reason_2": "The lighting is flat and cool, failing to convey the requested warmth.", "score_1": 8, "score_2": 2}, {"name": "Composition & Framing", "reason_1": "The framing is balanced, keeping all family members clearly visible and engaged.", "reason_2": "The composition is cluttered, with foreground elements (like the child's arm) obscuring the view awkwardly.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Aesthetically pleasing and commercially viable footage.", "reason_2": "Visually distracting due to artifacts and poor rendering.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 creates a convincing and inviting cinematic scene, whereas Video 2 feels like a low-quality generation.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, morphological stability, and accurate capture of the prompt's cultural and atmospheric details. It successfully renders the vibrant textiles and food with high definition and maintains consistent character identities. Video 2 suffers from severe temporal instability, with significant warping of faces and hands, and lacks the textural richness required by the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 54.557} +{"pair_id": "042_seed_310", "sample_index": 42, "seed": 310, "prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_310_A distinguished East Asian man with short black ha.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_310_A distinguished East Asian man with short black ha.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_042_seed_310_A distinguished East Asian man with short black ha.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_042_seed_310_A distinguished East Asian man with short black ha.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Attire & Features)\", \"reason_1\": \"Video 1 accurately depicts the East Asian man, sleek glasses, and charcoal suit as requested.\", \"reason_2\": \"Video 2 also accurately depicts all physical attributes, including the suit, glasses, and hair.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Expression Fidelity (Thoughtfulness & Introspection)\", \"reason_1\": \"Video 1 perfectly captures the 'depth of thoughtfulness' and 'quiet confidence' with a steady, intense gaze.\", \"reason_2\": \"Video 2 fails to convey 'introspection' due to erratic eye movements that make the subject look distracted or glitchy rather than thoughtful.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting & Contour Emphasis\", \"reason_1\": \"The lighting in Video 1 is soft yet directional, effectively accentuating the jawline and facial contours as prompted.\", \"reason_2\": \"Video 2 has flatter lighting that washes out the facial contours slightly compared to the dramatic shaping in Video 1.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"While both videos generate the correct subject and attire, Video 1 captures the specific emotional nuances (thoughtfulness, confidence) much better than Video 2, which feels distracted due to unnatural eye movements.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Ocular Stability & Gaze Consistency\", \"reason_1\": \"The subject's eyes in Video 1 are stable, focused, and move naturally, maintaining the illusion of life.\", \"reason_2\": \"Video 2 exhibits severe artifacts; the pupils drift independently and the eyes appear to 'swim' or glitch behind the glasses, breaking realism.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Skin Texture & Detail Fidelity\", \"reason_1\": \"Video 1 renders high-frequency details like skin pores and wrinkles with photorealistic sharpness.\", \"reason_2\": \"Video 2 appears slightly softer and more 'plastic' in texture, lacking the gritty realism of Video 1.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Temporal Coherence (Micro-movements)\", \"reason_1\": \"The subtle head movements and breathing in Video 1 are fluid and physically plausible.\", \"reason_2\": \"The motion in Video 2 feels slightly robotic, particularly the unnatural shifting of the head and eyes.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior realism, particularly in the stability of the eyes and the texture of the skin. Video 2 suffers from significant ocular instability (pupil drift) which ruins the realism.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Depth & Composition\", \"reason_1\": \"Video 1 uses a shallow depth of field effectively to isolate the subject, creating a professional cinematic look.\", \"reason_2\": \"Video 2 feels flatter with less separation between the subject and the background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Emotional Impact (Warmth & Intensity)\", \"reason_1\": \"The subject in Video 1 successfully projects the 'intensity and warmth' requested, engaging the viewer.\", \"reason_2\": \"The emotional connection is broken in Video 2 by the distracting eye glitches, failing to invite the viewer to 'ponder stories'.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is a high-quality, usable clip that looks like a frame from a high-budget drama.\", \"reason_2\": \"Video 2 is visually flawed due to the eye artifacts, making it aesthetically unpleasant.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 achieves a cinematic look with better depth of field and color grading, creating a compelling portrait. Video 2 lacks this aesthetic polish and emotional connection.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism, particularly in the rendering of the eyes and skin texture. It successfully captures the subtle, introspective expression requested in the prompt without the technical artifacts present in Video 2. Video 2 suffers from noticeable ocular instability (pupil drift and unnatural movement) which breaks the immersion and fails to convey the requested 'quiet confidence'.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A distinguished East Asian man with short black hair and sleek glasses stands against a muted background, wearing a tailored charcoal suit and a crisp white shirt. The camera captures the subtle nuances of his facial features, highlighting the sharpness of his jawline and the gentle curve of his lips. His eyes, framed by the elegant glasses, convey a depth of thoughtfulness and quiet confidence. The lighting softly accentuates the contours of his face, drawing attention to the intensity and warmth in his gaze. His expression, a blend of introspection and assurance, invites the viewer to ponder the stories behind his composed demeanor.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Attire & Features)", "reason_1": "Video 1 accurately depicts the East Asian man, sleek glasses, and charcoal suit as requested.", "reason_2": "Video 2 also accurately depicts all physical attributes, including the suit, glasses, and hair.", "score_1": 5, "score_2": 5}, {"name": "Expression Fidelity (Thoughtfulness & Introspection)", "reason_1": "Video 1 perfectly captures the 'depth of thoughtfulness' and 'quiet confidence' with a steady, intense gaze.", "reason_2": "Video 2 fails to convey 'introspection' due to erratic eye movements that make the subject look distracted or glitchy rather than thoughtful.", "score_1": 9, "score_2": 1}, {"name": "Lighting & Contour Emphasis", "reason_1": "The lighting in Video 1 is soft yet directional, effectively accentuating the jawline and facial contours as prompted.", "reason_2": "Video 2 has flatter lighting that washes out the facial contours slightly compared to the dramatic shaping in Video 1.", "score_1": 7, "score_2": 3}], "cat_reason": "While both videos generate the correct subject and attire, Video 1 captures the specific emotional nuances (thoughtfulness, confidence) much better than Video 2, which feels distracted due to unnatural eye movements.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Ocular Stability & Gaze Consistency", "reason_1": "The subject's eyes in Video 1 are stable, focused, and move naturally, maintaining the illusion of life.", "reason_2": "Video 2 exhibits severe artifacts; the pupils drift independently and the eyes appear to 'swim' or glitch behind the glasses, breaking realism.", "score_1": 9, "score_2": 1}, {"name": "Skin Texture & Detail Fidelity", "reason_1": "Video 1 renders high-frequency details like skin pores and wrinkles with photorealistic sharpness.", "reason_2": "Video 2 appears slightly softer and more 'plastic' in texture, lacking the gritty realism of Video 1.", "score_1": 7, "score_2": 3}, {"name": "Temporal Coherence (Micro-movements)", "reason_1": "The subtle head movements and breathing in Video 1 are fluid and physically plausible.", "reason_2": "The motion in Video 2 feels slightly robotic, particularly the unnatural shifting of the head and eyes.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior realism, particularly in the stability of the eyes and the texture of the skin. Video 2 suffers from significant ocular instability (pupil drift) which ruins the realism.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Depth & Composition", "reason_1": "Video 1 uses a shallow depth of field effectively to isolate the subject, creating a professional cinematic look.", "reason_2": "Video 2 feels flatter with less separation between the subject and the background.", "score_1": 7, "score_2": 3}, {"name": "Emotional Impact (Warmth & Intensity)", "reason_1": "The subject in Video 1 successfully projects the 'intensity and warmth' requested, engaging the viewer.", "reason_2": "The emotional connection is broken in Video 2 by the distracting eye glitches, failing to invite the viewer to 'ponder stories'.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is a high-quality, usable clip that looks like a frame from a high-budget drama.", "reason_2": "Video 2 is visually flawed due to the eye artifacts, making it aesthetically unpleasant.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 achieves a cinematic look with better depth of field and color grading, creating a compelling portrait. Video 2 lacks this aesthetic polish and emotional connection.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism, particularly in the rendering of the eyes and skin texture. It successfully captures the subtle, introspective expression requested in the prompt without the technical artifacts present in Video 2. Video 2 suffers from noticeable ocular instability (pupil drift and unnatural movement) which breaks the immersion and fails to convey the requested 'quiet confidence'.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 68.0, "total_score_2": 22.0, "elapsed_sec": 58.486} +{"pair_id": "045_seed_42", "sample_index": 45, "seed": 42, "prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_045_seed_42_In a bustling city square amidst the vibrant energ.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Attribute Fidelity (Hair Color & Eye Details)\", \"reason_1\": \"Video 1 renders the woman with dark brown hair rather than the requested 'auburn', and the man's eyes appear lighter than the requested 'deep brown'.\", \"reason_2\": \"Video 2 correctly renders the woman's hair with a distinct auburn tone and the man's eyes as a deep, dark shade, aligning better with the text description.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Expression Nuance (Curiosity, Warmth, Intrigue)\", \"reason_1\": \"Video 1 perfectly captures the 'hint of a smile' and 'warmth' in the man's expression, creating a genuine sense of connection.\", \"reason_2\": \"Video 2's expressions are stiff and somewhat intense; the man looks more serious than warm, and the woman's gaze feels vacant rather than intrigued.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Context (Bustling Square & Passersby)\", \"reason_1\": \"Video 1 depicts a convincing city square with natural-looking, albeit blurred, passersby that fit the depth of field.\", \"reason_2\": \"Video 2 includes the square and passersby, but the background figures are distorted and distracting, detracting from the semantic accuracy of a 'bustling' but 'softly blurred' scene.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 edges out Video 1 in this category strictly due to attribute fidelity. It correctly renders the woman's 'auburn' hair and the man's 'deep brown' eyes, whereas Video 1 depicts the woman with dark brown hair and the man with lighter eyes. However, Video 1 captures the emotional semantics (warmth, smile) better.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Background Morphological Stability\", \"reason_1\": \"The background elements in Video 1 remain stable and consistent with the camera's focus.\", \"reason_2\": \"Video 2 exhibits severe hallucination and morphing in the background figures, who appear to melt or glitch, breaking the illusion of reality.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Photorealism (Skin & Texture)\", \"reason_1\": \"Video 1 features highly realistic skin texture, lighting interaction, and natural micro-movements.\", \"reason_2\": \"Video 2 has a 'waxy' or plastic appearance common in lower-quality generations, particularly on the woman's face, making it look like a 3D render rather than video.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Naturalness\", \"reason_1\": \"The subtle head movements and breathing in Video 1 feel organic and human.\", \"reason_2\": \"The motion in Video 2 is stiff and robotic, lacking the fluidity of real human interaction.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates superior technical execution. The subjects look photorealistic with natural skin textures, whereas Video 2 suffers from a 'plastic' AI look and significant morphing artifacts in the background.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Connection & Intimacy\", \"reason_1\": \"The video successfully conveys a 'silent conversation' and a 'profound moment' through the actors' chemistry and soft lighting.\", \"reason_2\": \"The connection feels artificial and cold due to the stiff expressions and lack of genuine eye contact chemistry.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Lighting Atmosphere (Golden Afternoon Glow)\", \"reason_1\": \"Video 1 utilizes a warm, soft lighting scheme that perfectly matches the 'golden afternoon' description.\", \"reason_2\": \"Video 2 has harsher, flatter lighting that fails to evoke the specific atmospheric glow requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition & Depth of Field\", \"reason_1\": \"The framing in Video 1 is balanced and the bokeh effect is aesthetically pleasing, drawing focus to the faces.\", \"reason_2\": \"While the framing is similar, the distracting artifacts in the background ruin the intended cinematic depth of field.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 excels in creating the requested mood. The lighting, composition, and acting combine to create a 'fleeting, yet profound' moment, whereas Video 2 feels emotionally flat and technically flawed.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior photorealism, natural motion, and successful capture of the emotional nuance requested. While Video 2 adheres more strictly to specific color attributes (auburn hair), it suffers from significant background artifacts (morphing figures) and a waxy, artificial aesthetic that breaks immersion. Video 1 delivers a cinematic, believable, and emotionally resonant scene that aligns perfectly with the atmospheric requirements of the prompt.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling city square, amidst the vibrant energy of passersby, a man and woman lock eyes from across the cobblestone path. The camera captures the moment in high definition, focusing on the subtle nuances of their expressions. The man's eyes, a deep shade of brown, convey a sense of curiosity and warmth, while the woman's gaze, framed by her flowing auburn hair, reflects intrigue and a hint of a smile. The background blurs softly, emphasizing the silent conversation between them, as the golden afternoon light casts a gentle glow, highlighting the connection shared in that fleeting, yet profound, moment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Attribute Fidelity (Hair Color & Eye Details)", "reason_1": "Video 1 renders the woman with dark brown hair rather than the requested 'auburn', and the man's eyes appear lighter than the requested 'deep brown'.", "reason_2": "Video 2 correctly renders the woman's hair with a distinct auburn tone and the man's eyes as a deep, dark shade, aligning better with the text description.", "score_1": 3, "score_2": 7}, {"name": "Expression Nuance (Curiosity, Warmth, Intrigue)", "reason_1": "Video 1 perfectly captures the 'hint of a smile' and 'warmth' in the man's expression, creating a genuine sense of connection.", "reason_2": "Video 2's expressions are stiff and somewhat intense; the man looks more serious than warm, and the woman's gaze feels vacant rather than intrigued.", "score_1": 8, "score_2": 2}, {"name": "Environmental Context (Bustling Square & Passersby)", "reason_1": "Video 1 depicts a convincing city square with natural-looking, albeit blurred, passersby that fit the depth of field.", "reason_2": "Video 2 includes the square and passersby, but the background figures are distorted and distracting, detracting from the semantic accuracy of a 'bustling' but 'softly blurred' scene.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 edges out Video 1 in this category strictly due to attribute fidelity. It correctly renders the woman's 'auburn' hair and the man's 'deep brown' eyes, whereas Video 1 depicts the woman with dark brown hair and the man with lighter eyes. However, Video 1 captures the emotional semantics (warmth, smile) better.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Background Morphological Stability", "reason_1": "The background elements in Video 1 remain stable and consistent with the camera's focus.", "reason_2": "Video 2 exhibits severe hallucination and morphing in the background figures, who appear to melt or glitch, breaking the illusion of reality.", "score_1": 9, "score_2": 1}, {"name": "Subject Photorealism (Skin & Texture)", "reason_1": "Video 1 features highly realistic skin texture, lighting interaction, and natural micro-movements.", "reason_2": "Video 2 has a 'waxy' or plastic appearance common in lower-quality generations, particularly on the woman's face, making it look like a 3D render rather than video.", "score_1": 8, "score_2": 2}, {"name": "Motion Naturalness", "reason_1": "The subtle head movements and breathing in Video 1 feel organic and human.", "reason_2": "The motion in Video 2 is stiff and robotic, lacking the fluidity of real human interaction.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates superior technical execution. The subjects look photorealistic with natural skin textures, whereas Video 2 suffers from a 'plastic' AI look and significant morphing artifacts in the background.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Connection & Intimacy", "reason_1": "The video successfully conveys a 'silent conversation' and a 'profound moment' through the actors' chemistry and soft lighting.", "reason_2": "The connection feels artificial and cold due to the stiff expressions and lack of genuine eye contact chemistry.", "score_1": 9, "score_2": 1}, {"name": "Lighting Atmosphere (Golden Afternoon Glow)", "reason_1": "Video 1 utilizes a warm, soft lighting scheme that perfectly matches the 'golden afternoon' description.", "reason_2": "Video 2 has harsher, flatter lighting that fails to evoke the specific atmospheric glow requested.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition & Depth of Field", "reason_1": "The framing in Video 1 is balanced and the bokeh effect is aesthetically pleasing, drawing focus to the faces.", "reason_2": "While the framing is similar, the distracting artifacts in the background ruin the intended cinematic depth of field.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 excels in creating the requested mood. The lighting, composition, and acting combine to create a 'fleeting, yet profound' moment, whereas Video 2 feels emotionally flat and technically flawed.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior photorealism, natural motion, and successful capture of the emotional nuance requested. While Video 2 adheres more strictly to specific color attributes (auburn hair), it suffers from significant background artifacts (morphing figures) and a waxy, artificial aesthetic that breaks immersion. Video 1 delivers a cinematic, believable, and emotionally resonant scene that aligns perfectly with the atmospheric requirements of the prompt.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 66.0, "total_score_2": 24.0, "elapsed_sec": 64.498} +{"pair_id": "047_seed_930", "sample_index": 47, "seed": 930, "prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_047_seed_930_A woman with long flowing hair sprints through a s.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Sprinting vs. Running)\", \"reason_1\": \"Video 1 depicts a high-energy sprint with appropriate body mechanics and speed, matching the prompt's 'sprints' and 'untamed energy'.\", \"reason_2\": \"Video 2 shows a slow, casual jog or walk, completely failing to capture the 'sprinting' or 'wild' nature of the requested action.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Hair Dynamics (Wildness & Flow)\", \"reason_1\": \"The hair in Video 1 moves chaotically and wildly, perfectly matching the description of 'dancing wildly' and 'whip and flow'.\", \"reason_2\": \"The hair in Video 2 is relatively static and controlled, lacking the 'wild' and 'cascading' movement described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Wildflowers & Greenery)\", \"reason_1\": \"Video 1 clearly renders the 'vibrant wildflowers' and 'lush greenery' in the foreground and background.\", \"reason_2\": \"Video 2 presents a generic grassy field with a washed-out background, missing the specific 'wildflower' detail.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately depicts the 'sprinting' action and the 'wild' hair movement requested. Video 2 fails the core action prompt, showing a slow jog instead of a sprint.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"Video 1 maintains high sharpness on the hair strands and clothing textures throughout the clip.\", \"reason_2\": \"Video 2 is heavily softened by bloom and backlighting, resulting in a loss of texture and definition.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Physics Simulation (Hair & Motion)\", \"reason_1\": \"The hair physics in Video 1 react realistically to the momentum of the sprint, showing complex strand interactions.\", \"reason_2\": \"The hair movement in Video 2 feels stiff and lacks the complex physics expected from a moving subject in a breeze.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Lighting Interaction (Glistening Effect)\", \"reason_1\": \"Video 1 captures the 'glistening' effect of sunlight on individual hair strands effectively.\", \"reason_2\": \"Video 2 has strong backlighting, but it washes out the subject rather than creating a glistening effect on the strands.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior texture rendering and physics simulation. Video 2 suffers from excessive bloom and lack of definition.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Exhilaration & Energy)\", \"reason_1\": \"The speed and camera movement in Video 1 successfully evoke the 'sense of freedom and exhilaration' requested.\", \"reason_2\": \"The slow pace of Video 2 creates a calm, serene mood, which is the opposite of the 'untamed energy' requested.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Motion & Framing\", \"reason_1\": \"Video 1 uses a dynamic tracking shot that follows the runner, enhancing the sense of speed.\", \"reason_2\": \"Video 2 uses a static or very slow pan that fails to engage the viewer in the action.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Vibrancy & Atmosphere\", \"reason_1\": \"Video 1 features rich greens and warm sunlight, creating a vibrant aesthetic.\", \"reason_2\": \"Video 2 is dominated by a hazy, overexposed white/yellow tone that lacks color depth.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 effectively conveys the mood of 'exhilaration' and 'untamed energy' through dynamic camera work and pacing. Video 2 is too passive.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it faithfully executes the high-energy 'sprinting' action and the 'wild' hair dynamics described in the prompt. It captures the 'untamed energy' and 'exhilaration' with a dynamic camera and vibrant environment. Video 2, while visually pleasant, depicts a slow jog rather than a sprint and lacks the chaotic, mesmerizing hair movement requested.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A woman with long, flowing hair sprints through a sunlit meadow, her hair cascading and dancing wildly in the breeze, creating a mesmerizing visual symphony. The camera captures her from behind, focusing on the dynamic movement of her hair, which glistens under the golden sunlight. Her silhouette is framed by a backdrop of vibrant wildflowers and lush greenery, enhancing the sense of freedom and exhilaration. As she runs, the strands of her hair whip and flow with each stride, embodying the essence of untamed energy and the joy of movement in nature's embrace.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Sprinting vs. Running)", "reason_1": "Video 1 depicts a high-energy sprint with appropriate body mechanics and speed, matching the prompt's 'sprints' and 'untamed energy'.", "reason_2": "Video 2 shows a slow, casual jog or walk, completely failing to capture the 'sprinting' or 'wild' nature of the requested action.", "score_1": 9, "score_2": 1}, {"name": "Hair Dynamics (Wildness & Flow)", "reason_1": "The hair in Video 1 moves chaotically and wildly, perfectly matching the description of 'dancing wildly' and 'whip and flow'.", "reason_2": "The hair in Video 2 is relatively static and controlled, lacking the 'wild' and 'cascading' movement described.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Wildflowers & Greenery)", "reason_1": "Video 1 clearly renders the 'vibrant wildflowers' and 'lush greenery' in the foreground and background.", "reason_2": "Video 2 presents a generic grassy field with a washed-out background, missing the specific 'wildflower' detail.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately depicts the 'sprinting' action and the 'wild' hair movement requested. Video 2 fails the core action prompt, showing a slow jog instead of a sprint.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "Video 1 maintains high sharpness on the hair strands and clothing textures throughout the clip.", "reason_2": "Video 2 is heavily softened by bloom and backlighting, resulting in a loss of texture and definition.", "score_1": 8, "score_2": 2}, {"name": "Physics Simulation (Hair & Motion)", "reason_1": "The hair physics in Video 1 react realistically to the momentum of the sprint, showing complex strand interactions.", "reason_2": "The hair movement in Video 2 feels stiff and lacks the complex physics expected from a moving subject in a breeze.", "score_1": 8, "score_2": 2}, {"name": "Lighting Interaction (Glistening Effect)", "reason_1": "Video 1 captures the 'glistening' effect of sunlight on individual hair strands effectively.", "reason_2": "Video 2 has strong backlighting, but it washes out the subject rather than creating a glistening effect on the strands.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior texture rendering and physics simulation. Video 2 suffers from excessive bloom and lack of definition.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Exhilaration & Energy)", "reason_1": "The speed and camera movement in Video 1 successfully evoke the 'sense of freedom and exhilaration' requested.", "reason_2": "The slow pace of Video 2 creates a calm, serene mood, which is the opposite of the 'untamed energy' requested.", "score_1": 9, "score_2": 1}, {"name": "Camera Motion & Framing", "reason_1": "Video 1 uses a dynamic tracking shot that follows the runner, enhancing the sense of speed.", "reason_2": "Video 2 uses a static or very slow pan that fails to engage the viewer in the action.", "score_1": 8, "score_2": 2}, {"name": "Color Vibrancy & Atmosphere", "reason_1": "Video 1 features rich greens and warm sunlight, creating a vibrant aesthetic.", "reason_2": "Video 2 is dominated by a hazy, overexposed white/yellow tone that lacks color depth.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 effectively conveys the mood of 'exhilaration' and 'untamed energy' through dynamic camera work and pacing. Video 2 is too passive.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it faithfully executes the high-energy 'sprinting' action and the 'wild' hair dynamics described in the prompt. It captures the 'untamed energy' and 'exhilaration' with a dynamic camera and vibrant environment. Video 2, while visually pleasant, depicts a slow jog rather than a sprint and lacks the chaotic, mesmerizing hair movement requested.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 72.0, "total_score_2": 18.0, "elapsed_sec": 58.295} +{"pair_id": "050_seed_310", "sample_index": 50, "seed": 310, "prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_310_A character stands in a dimly lit room initially c.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_310_A character stands in a dimly lit room initially c.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_050_seed_310_A character stands in a dimly lit room initially c.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_050_seed_310_A character stands in a dimly lit room initially c.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Emotional Arc Fidelity (Shock to Relief)\", \"reason_1\": \"Video 1 depicts a static state of mild surprise with no transition to relief or a smile.\", \"reason_2\": \"Video 2 perfectly captures the requested sequence: initial shock, followed by a distinct relaxation of features and a genuine smile indicating relief.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Environmental Atmosphere (Lighting)\", \"reason_1\": \"Video 1 features a bright, sun-drenched room with strong lens flares, contradicting the 'dimly lit' instruction.\", \"reason_2\": \"Video 2 utilizes a moody, desaturated, and dimly lit environment that aligns well with the prompt's atmospheric requirements.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Camera Movement (Swift Zoom)\", \"reason_1\": \"Video 1 has a very subtle, slow push-in that lacks the 'swift' nature requested.\", \"reason_2\": \"Video 2 executes a more noticeable and dynamic zoom that emphasizes the facial expression change effectively.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 followed the script's emotional timeline and environmental description, whereas Video 1 ignored the 'dimly lit' setting and the 'relief' ending.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Muscle Dynamics\", \"reason_1\": \"The facial movement in Video 1 is limited to simple mouth opening and blinking, lacking complex muscle interaction.\", \"reason_2\": \"Video 2 showcases complex deformation of the jaw, cheeks, and eyes, realistically simulating the physiological shift from shock to a smile.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Texture & Detail\", \"reason_1\": \"Video 1 is a clean 2D anime render, which is high quality but lacks the textural depth requested by the lighting description.\", \"reason_2\": \"Video 2 offers high-fidelity photorealistic textures (skin pores, hair) that interact realistically with the lighting.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Video 1 is extremely stable with no warping, typical of 2D animation.\", \"reason_2\": \"Video 2 maintains good stability, though there is slight unnatural shifting in the teeth and jaw during the extreme expression change.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 2 demonstrates superior dynamic realism in facial muscle movement and texture rendering, whereas Video 1 is a simpler 2D animation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Completeness\", \"reason_1\": \"Video 1 feels like a looped reaction GIF with no beginning or resolution.\", \"reason_2\": \"Video 2 tells a complete micro-story: the event (shock) and the reaction (relief), fulfilling the narrative prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Impact & Mood\", \"reason_1\": \"The bright lighting and static expression in Video 1 fail to evoke the dramatic tension or subsequent relief described.\", \"reason_2\": \"The lighting and acting in Video 2 successfully create a mood of tension followed by release.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Focus (Bokeh & Framing)\", \"reason_1\": \"Video 1 has a blurred background, but the bright light sources distract from the face.\", \"reason_2\": \"Video 2 uses the blur effectively to isolate the face, keeping the viewer's attention strictly on the emotional shift.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 delivers a complete narrative beat with appropriate mood, while Video 1 feels like a static reaction shot without a story arc.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"D. Character Performance & Expressiveness\", \"dims\": [{\"name\": \"Micro-Expression Nuance\", \"reason_1\": \"Video 1 lacks micro-expressions; the face remains largely rigid aside from the mouth.\", \"reason_2\": \"Video 2 captures subtle shifts in the eyebrows and eyes that convey the internal process of 'relief and understanding'.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Transition Fluidity\", \"reason_1\": \"There is no transition in Video 1; the character remains in the same emotional state.\", \"reason_2\": \"Video 2 handles the difficult transition from a wide-open shock mouth to a closed, smiling mouth smoothly and naturally.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Eye Contact & Engagement\", \"reason_1\": \"The eyes in Video 1 are wide but static.\", \"reason_2\": \"The eyes in Video 2 actively change from wide/dilated to softer/narrower, enhancing the realism of the emotional shift.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"This personalized category highlights the specific requirement for a 'vivid emotional journey,' where Video 2 excels in acting performance.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the complex emotional arc requested in the prompt, transitioning from shock to relief with a visible smile. It also correctly depicts the 'dimly lit' atmosphere. Video 1, while a clean anime generation, fails to capture the specific lighting (it is bright and sunny) and completely misses the narrative progression, remaining stuck in a static state of surprise without the required resolution.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A character stands in a dimly lit room, initially calm, when an unexpected sound startles them. Their eyes widen dramatically, and their mouth falls open in shock, capturing the essence of surprise. The camera swiftly zooms in, focusing on their expressive face, emphasizing the rapid shift from alarm to a more relaxed state. As the initial shock fades, their features soften, and a slight smile emerges, reflecting relief and understanding. The background remains blurred, ensuring the viewer's attention is solely on the character's vivid emotional journey, highlighted by the subtle play of light and shadow across their face.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Emotional Arc Fidelity (Shock to Relief)", "reason_1": "Video 1 depicts a static state of mild surprise with no transition to relief or a smile.", "reason_2": "Video 2 perfectly captures the requested sequence: initial shock, followed by a distinct relaxation of features and a genuine smile indicating relief.", "score_1": 1, "score_2": 9}, {"name": "Environmental Atmosphere (Lighting)", "reason_1": "Video 1 features a bright, sun-drenched room with strong lens flares, contradicting the 'dimly lit' instruction.", "reason_2": "Video 2 utilizes a moody, desaturated, and dimly lit environment that aligns well with the prompt's atmospheric requirements.", "score_1": 2, "score_2": 8}, {"name": "Camera Movement (Swift Zoom)", "reason_1": "Video 1 has a very subtle, slow push-in that lacks the 'swift' nature requested.", "reason_2": "Video 2 executes a more noticeable and dynamic zoom that emphasizes the facial expression change effectively.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 followed the script's emotional timeline and environmental description, whereas Video 1 ignored the 'dimly lit' setting and the 'relief' ending.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Muscle Dynamics", "reason_1": "The facial movement in Video 1 is limited to simple mouth opening and blinking, lacking complex muscle interaction.", "reason_2": "Video 2 showcases complex deformation of the jaw, cheeks, and eyes, realistically simulating the physiological shift from shock to a smile.", "score_1": 2, "score_2": 8}, {"name": "Visual Texture & Detail", "reason_1": "Video 1 is a clean 2D anime render, which is high quality but lacks the textural depth requested by the lighting description.", "reason_2": "Video 2 offers high-fidelity photorealistic textures (skin pores, hair) that interact realistically with the lighting.", "score_1": 4, "score_2": 6}, {"name": "Morphological Stability", "reason_1": "Video 1 is extremely stable with no warping, typical of 2D animation.", "reason_2": "Video 2 maintains good stability, though there is slight unnatural shifting in the teeth and jaw during the extreme expression change.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 2 demonstrates superior dynamic realism in facial muscle movement and texture rendering, whereas Video 1 is a simpler 2D animation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Completeness", "reason_1": "Video 1 feels like a looped reaction GIF with no beginning or resolution.", "reason_2": "Video 2 tells a complete micro-story: the event (shock) and the reaction (relief), fulfilling the narrative prompt.", "score_1": 2, "score_2": 8}, {"name": "Emotional Impact & Mood", "reason_1": "The bright lighting and static expression in Video 1 fail to evoke the dramatic tension or subsequent relief described.", "reason_2": "The lighting and acting in Video 2 successfully create a mood of tension followed by release.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Focus (Bokeh & Framing)", "reason_1": "Video 1 has a blurred background, but the bright light sources distract from the face.", "reason_2": "Video 2 uses the blur effectively to isolate the face, keeping the viewer's attention strictly on the emotional shift.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 delivers a complete narrative beat with appropriate mood, while Video 1 feels like a static reaction shot without a story arc.", "cat_winner": "Video 2"}, {"name": "D. Character Performance & Expressiveness", "dims": [{"name": "Micro-Expression Nuance", "reason_1": "Video 1 lacks micro-expressions; the face remains largely rigid aside from the mouth.", "reason_2": "Video 2 captures subtle shifts in the eyebrows and eyes that convey the internal process of 'relief and understanding'.", "score_1": 2, "score_2": 8}, {"name": "Transition Fluidity", "reason_1": "There is no transition in Video 1; the character remains in the same emotional state.", "reason_2": "Video 2 handles the difficult transition from a wide-open shock mouth to a closed, smiling mouth smoothly and naturally.", "score_1": 1, "score_2": 9}, {"name": "Eye Contact & Engagement", "reason_1": "The eyes in Video 1 are wide but static.", "reason_2": "The eyes in Video 2 actively change from wide/dilated to softer/narrower, enhancing the realism of the emotional shift.", "score_1": 4, "score_2": 6}], "cat_reason": "This personalized category highlights the specific requirement for a 'vivid emotional journey,' where Video 2 excels in acting performance.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the complex emotional arc requested in the prompt, transitioning from shock to relief with a visible smile. It also correctly depicts the 'dimly lit' atmosphere. Video 1, while a clean anime generation, fails to capture the specific lighting (it is bright and sunny) and completely misses the narrative progression, remaining stuck in a static state of surprise without the required resolution.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 34.0, "total_score_2": 86.0, "elapsed_sec": 70.789} +{"pair_id": "053_seed_42", "sample_index": 53, "seed": 42, "prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_053_seed_42_In a bustling public square two individuals engage.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Interaction & Argument Intensity\", \"reason_1\": \"Video 1 clearly depicts two distinct individuals engaging in a heated verbal exchange with appropriate body language.\", \"reason_2\": \"Video 2 shows two figures, but their interaction is marred by severe distortion, making the 'argument' look more like a glitch than a human interaction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Crowd Dynamics & Onlooker Behavior\", \"reason_1\": \"Video 1 successfully generates a background crowd that reacts to the scene, creating the requested 'bustling' atmosphere.\", \"reason_2\": \"Video 2 attempts to show a crowd, but the faces are nightmarish distortions that fail to convey the requested 'curiosity and concern'.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Public Square)\", \"reason_1\": \"The background in Video 1 is recognizable as a city square with architectural depth.\", \"reason_2\": \"The environment in Video 2 is unstable and warps along with the subjects, losing the sense of a solid physical location.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts the core semantic elements: two men arguing, a public square setting, and a gathering crowd. Video 2 attempts these elements but fails to render them with enough clarity to be semantically valid due to severe distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Morphological Stability\", \"reason_1\": \"The subjects' faces in Video 1 remain largely consistent and human-like throughout the clip.\", \"reason_2\": \"Video 2 exhibits severe 'melting face' artifacts; the subjects' features slide off their faces and distort grotesquely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Anatomical Integrity (Hands & Limbs)\", \"reason_1\": \"Video 1 renders hands and gestures with reasonable accuracy for AI video.\", \"reason_2\": \"In Video 2, hands merge into chests and fingers are indistinguishable from clothing textures.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Temporal Coherence & Smoothness\", \"reason_1\": \"The motion in Video 1 is fluid and the frame-to-frame transition is logical.\", \"reason_2\": \"Video 2 suffers from jittery motion and sudden, illogical shifts in subject appearance.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"This is the deciding category. Video 1 maintains acceptable stability, whereas Video 2 fails completely with severe morphological breakdowns, melting faces, and anatomical errors.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Readability & Expression\", \"reason_1\": \"The anger and intensity are clearly readable on the subjects' faces in Video 1.\", \"reason_2\": \"The expressions in Video 2 are lost behind the visual artifacts, making the emotion unreadable and disturbing.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Framing & Focus\", \"reason_1\": \"Video 1 uses a clear medium shot that keeps the focus on the argument while showing the context.\", \"reason_2\": \"Video 2's framing is chaotic and the camera movement feels accidental rather than intentional.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"Video 1 is a usable, standard-quality generation.\", \"reason_2\": \"Video 2 is visually unpleasant due to the high frequency of horror-like distortions.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 provides a watchable, cinematic clip that conveys the intended mood. Video 2 is aesthetically broken due to the technical artifacts.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its significantly higher visual stability and coherence. While both videos attempt the complex prompt, Video 2 suffers from catastrophic morphological failure, where the subjects' faces and bodies melt and distort severely, rendering the content disturbing and unrealistic. Video 1 maintains subject identity, anatomical logic, and a coherent background throughout the sequence.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a bustling public square, two individuals engage in a heated argument, their voices rising above the ambient city sounds. The camera captures their animated gestures and intense expressions, highlighting the raw emotions on display. As the disagreement escalates, onlookers gather, their faces a mix of curiosity and concern. The scene becomes chaotic, with people stepping back, some recording on their phones, while others attempt to mediate. The camera pans to capture the tension in the air, the vibrant city backdrop contrasting with the charged atmosphere. The intensity of the moment is palpable, as emotions run high and the situation unfolds unpredictably.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Interaction & Argument Intensity", "reason_1": "Video 1 clearly depicts two distinct individuals engaging in a heated verbal exchange with appropriate body language.", "reason_2": "Video 2 shows two figures, but their interaction is marred by severe distortion, making the 'argument' look more like a glitch than a human interaction.", "score_1": 8, "score_2": 2}, {"name": "Crowd Dynamics & Onlooker Behavior", "reason_1": "Video 1 successfully generates a background crowd that reacts to the scene, creating the requested 'bustling' atmosphere.", "reason_2": "Video 2 attempts to show a crowd, but the faces are nightmarish distortions that fail to convey the requested 'curiosity and concern'.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Public Square)", "reason_1": "The background in Video 1 is recognizable as a city square with architectural depth.", "reason_2": "The environment in Video 2 is unstable and warps along with the subjects, losing the sense of a solid physical location.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts the core semantic elements: two men arguing, a public square setting, and a gathering crowd. Video 2 attempts these elements but fails to render them with enough clarity to be semantically valid due to severe distortion.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Morphological Stability", "reason_1": "The subjects' faces in Video 1 remain largely consistent and human-like throughout the clip.", "reason_2": "Video 2 exhibits severe 'melting face' artifacts; the subjects' features slide off their faces and distort grotesquely.", "score_1": 9, "score_2": 1}, {"name": "Anatomical Integrity (Hands & Limbs)", "reason_1": "Video 1 renders hands and gestures with reasonable accuracy for AI video.", "reason_2": "In Video 2, hands merge into chests and fingers are indistinguishable from clothing textures.", "score_1": 8, "score_2": 2}, {"name": "Temporal Coherence & Smoothness", "reason_1": "The motion in Video 1 is fluid and the frame-to-frame transition is logical.", "reason_2": "Video 2 suffers from jittery motion and sudden, illogical shifts in subject appearance.", "score_1": 8, "score_2": 2}], "cat_reason": "This is the deciding category. Video 1 maintains acceptable stability, whereas Video 2 fails completely with severe morphological breakdowns, melting faces, and anatomical errors.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Readability & Expression", "reason_1": "The anger and intensity are clearly readable on the subjects' faces in Video 1.", "reason_2": "The expressions in Video 2 are lost behind the visual artifacts, making the emotion unreadable and disturbing.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Framing & Focus", "reason_1": "Video 1 uses a clear medium shot that keeps the focus on the argument while showing the context.", "reason_2": "Video 2's framing is chaotic and the camera movement feels accidental rather than intentional.", "score_1": 7, "score_2": 3}, {"name": "Overall Visual Appeal", "reason_1": "Video 1 is a usable, standard-quality generation.", "reason_2": "Video 2 is visually unpleasant due to the high frequency of horror-like distortions.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 provides a watchable, cinematic clip that conveys the intended mood. Video 2 is aesthetically broken due to the technical artifacts.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its significantly higher visual stability and coherence. While both videos attempt the complex prompt, Video 2 suffers from catastrophic morphological failure, where the subjects' faces and bodies melt and distort severely, rendering the content disturbing and unrealistic. Video 1 maintains subject identity, anatomical logic, and a coherent background throughout the sequence.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 56.179} +{"pair_id": "055_seed_930", "sample_index": 55, "seed": 930, "prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_055_seed_930_A young professional seated at a sleek desk in a m.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Sequence Fidelity (Lean, Zoom, Hover)\", \"reason_1\": \"Video 1 depicts the subject leaning forward and the camera zooming in as requested, though the 'hovering' is less distinct.\", \"reason_2\": \"Video 2 captures the 'leaning' and 'zoom' well, but the subject's hands remain firmly planted on the keyboard rather than hovering as prompted.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Environmental Context (City Skyline & Lighting)\", \"reason_1\": \"Video 1 features a generic, blurry background that barely resembles a city skyline.\", \"reason_2\": \"Video 2 renders a detailed, realistic city skyline with depth and appropriate lighting, matching the prompt's setting perfectly.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attributes (Young Professional)\", \"reason_1\": \"Video 1 depicts a young professional, but the rendering is somewhat cartoonish and lacks the 'sleek' modern office vibe.\", \"reason_2\": \"Video 2 depicts a highly realistic professional in a convincing modern office environment.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 provides a much more accurate environmental context and a clearer depiction of the 'astonishment' reaction, despite missing the specific 'hovering' hand gesture.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Photorealism\", \"reason_1\": \"The video has a 'plastic' AI look with low texture detail and flat lighting.\", \"reason_2\": \"The video achieves high photorealism with realistic skin textures, lighting, and depth of field.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Facial Anatomy & Expression Stability\", \"reason_1\": \"The subject's face distorts significantly during the expression change, with eyes appearing unnatural and asymmetrical.\", \"reason_2\": \"The subject's face maintains structural integrity even during the extreme expression of shock.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The movement feels slightly jerky and the camera zoom is linear and mechanical.\", \"reason_2\": \"The motion is fluid and the camera zoom feels cinematic and organic.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is vastly superior in terms of resolution, texture, and anatomical stability. Video 1 suffers from severe facial distortion and low-fidelity textures.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Emotional Impact (Astonishment)\", \"reason_1\": \"The expression reads more as confusion or mild surprise rather than the 'captivated astonishment' requested.\", \"reason_2\": \"The subject delivers a powerful, convincing performance of shock and discovery that aligns perfectly with the narrative.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Cinematic Composition & Lighting\", \"reason_1\": \"The lighting is flat and the composition is standard, lacking artistic merit.\", \"reason_2\": \"The use of depth of field (bokeh) on the city lights and the dramatic lighting on the face creates a high-quality cinematic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Pacing & Flow\", \"reason_1\": \"The transition from browsing to reaction is abrupt and lacks the 'subtle shift' requested.\", \"reason_2\": \"The pacing feels natural, allowing the viewer to register the shift in the subject's focus and emotion.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 effectively captures the dramatic mood and emotional weight of the prompt through superior lighting and acting, whereas Video 1 feels flat and unengaging.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly higher visual fidelity, photorealism, and cinematic quality compared to Video 1. While Video 1 attempts the specific actions, it suffers from severe facial distortion and a lack of detail. Video 2 delivers a convincing, high-quality portrayal of the subject's emotional reaction within a realistic environment.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A young professional, seated at a sleek desk in a modern office, browses through digital files on a high-resolution monitor. The room is softly lit, with a large window offering a view of the city skyline. Suddenly, their eyes widen, and they lean closer to the screen, captivated by an unexpected discovery. The camera zooms in on their face, capturing the subtle shift from curiosity to astonishment. Their fingers hover over the keyboard, hesitating as they process the significance of the find. The ambient hum of the office fades, emphasizing the moment's gravity. Finally, they sit back, a mix of excitement and contemplation evident in their expression, as the city lights twinkle in the background.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Sequence Fidelity (Lean, Zoom, Hover)", "reason_1": "Video 1 depicts the subject leaning forward and the camera zooming in as requested, though the 'hovering' is less distinct.", "reason_2": "Video 2 captures the 'leaning' and 'zoom' well, but the subject's hands remain firmly planted on the keyboard rather than hovering as prompted.", "score_1": 6, "score_2": 4}, {"name": "Environmental Context (City Skyline & Lighting)", "reason_1": "Video 1 features a generic, blurry background that barely resembles a city skyline.", "reason_2": "Video 2 renders a detailed, realistic city skyline with depth and appropriate lighting, matching the prompt's setting perfectly.", "score_1": 2, "score_2": 8}, {"name": "Subject Attributes (Young Professional)", "reason_1": "Video 1 depicts a young professional, but the rendering is somewhat cartoonish and lacks the 'sleek' modern office vibe.", "reason_2": "Video 2 depicts a highly realistic professional in a convincing modern office environment.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 provides a much more accurate environmental context and a clearer depiction of the 'astonishment' reaction, despite missing the specific 'hovering' hand gesture.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Photorealism", "reason_1": "The video has a 'plastic' AI look with low texture detail and flat lighting.", "reason_2": "The video achieves high photorealism with realistic skin textures, lighting, and depth of field.", "score_1": 2, "score_2": 8}, {"name": "Facial Anatomy & Expression Stability", "reason_1": "The subject's face distorts significantly during the expression change, with eyes appearing unnatural and asymmetrical.", "reason_2": "The subject's face maintains structural integrity even during the extreme expression of shock.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness & Physics", "reason_1": "The movement feels slightly jerky and the camera zoom is linear and mechanical.", "reason_2": "The motion is fluid and the camera zoom feels cinematic and organic.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is vastly superior in terms of resolution, texture, and anatomical stability. Video 1 suffers from severe facial distortion and low-fidelity textures.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Emotional Impact (Astonishment)", "reason_1": "The expression reads more as confusion or mild surprise rather than the 'captivated astonishment' requested.", "reason_2": "The subject delivers a powerful, convincing performance of shock and discovery that aligns perfectly with the narrative.", "score_1": 3, "score_2": 7}, {"name": "Cinematic Composition & Lighting", "reason_1": "The lighting is flat and the composition is standard, lacking artistic merit.", "reason_2": "The use of depth of field (bokeh) on the city lights and the dramatic lighting on the face creates a high-quality cinematic look.", "score_1": 2, "score_2": 8}, {"name": "Narrative Pacing & Flow", "reason_1": "The transition from browsing to reaction is abrupt and lacks the 'subtle shift' requested.", "reason_2": "The pacing feels natural, allowing the viewer to register the shift in the subject's focus and emotion.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 effectively captures the dramatic mood and emotional weight of the prompt through superior lighting and acting, whereas Video 1 feels flat and unengaging.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly higher visual fidelity, photorealism, and cinematic quality compared to Video 1. While Video 1 attempts the specific actions, it suffers from severe facial distortion and a lack of detail. Video 2 delivers a convincing, high-quality portrayal of the subject's emotional reaction within a realistic environment.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 29.0, "total_score_2": 61.0, "elapsed_sec": 55.543} +{"pair_id": "058_seed_310", "sample_index": 58, "seed": 310, "prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_310_In a dimly lit conference room a diverse group of.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_310_In a dimly lit conference room a diverse group of.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_058_seed_310_In a dimly lit conference room a diverse group of.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_058_seed_310_In a dimly lit conference room a diverse group of.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Demographics & Diversity\", \"reason_1\": \"Video 1 depicts a homogenous group of older individuals, missing the 'young man' and 'diverse group' requirements.\", \"reason_2\": \"Video 2 successfully generates a diverse group including a young man, a middle-aged woman, and an elderly gentleman as requested.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Action Specificity (Gestures & Posture)\", \"reason_1\": \"The subjects in Video 1 are largely static or performing generic writing motions, missing the specific 'passionate argument' or 'leaning back' poses.\", \"reason_2\": \"Video 2 captures the 'arms crossed' pose of the young man and the 'scribbling' of the woman, aligning closer to the prompt's action descriptions.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Atmosphere (Lighting)\", \"reason_1\": \"Video 1 correctly renders a 'dimly lit' room with moody, dramatic lighting.\", \"reason_2\": \"Video 2 ignores the 'dimly lit' instruction, presenting a brightly lit, standard office environment.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 2 correctly identifies and generates the specific demographic mix (young man, elderly man, woman) and poses (arms crossed, scribbling) requested, whereas Video 1 presents a generic, homogenous group.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Facial Anatomy & Integrity\", \"reason_1\": \"Faces in Video 1 are heavily distorted, with melting features and unnatural eyes.\", \"reason_2\": \"Faces in Video 2 are coherent, distinct, and anatomically correct throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is blurry, low-resolution, and lacks texture detail.\", \"reason_2\": \"The video is sharp, high-resolution, and displays clear textures on clothing and skin.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Subjects in Video 1 exhibit warping and shifting shapes as the camera moves.\", \"reason_2\": \"Subjects in Video 2 maintain their form and volume consistently during the camera pan.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 is vastly superior in technical execution, offering sharp, stable, and realistic human features, while Video 1 suffers from severe distortion and low resolution.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Tone & Mood\", \"reason_1\": \"Video 1 successfully establishes the 'tense' and 'dimly lit' atmosphere described in the prompt.\", \"reason_2\": \"Video 2 feels like generic corporate stock footage, lacking the requested tension and dramatic mood.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Motion Quality\", \"reason_1\": \"The camera movement is somewhat shaky and disorienting.\", \"reason_2\": \"The camera executes a smooth, professional pan across the table.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The visual experience is marred by artifacts and distortion, making it unpleasant to watch.\", \"reason_2\": \"The video is clean, well-lit, and visually coherent, making it much more aesthetically pleasing.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Although Video 1 has a better 'mood', Video 2 provides a professional, watchable, and aesthetically pleasing result with smooth camera work.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly superior generation quality, producing a high-resolution, stable, and anatomically correct video. It also adheres much better to the specific character demographics (young man, elderly man, woman) and poses (arms crossed, scribbling) described in the prompt. Video 1, while capturing the 'dimly lit' atmosphere better, suffers from severe facial distortion, low resolution, and fails to represent the requested diversity of the group.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a dimly lit conference room, a diverse group of individuals sits around a large, polished wooden table, each person deep in thought. The camera pans to a middle-aged woman with glasses, her brow furrowed, as she passionately argues her point, gesturing with her hands. Across from her, a young man in a suit leans back, arms crossed, listening intently, his expression skeptical. The camera shifts to an elderly gentleman, his eyes wise and contemplative, as he softly speaks, offering a historical perspective. A woman with a notepad scribbles furiously, capturing every detail, while a man at the head of the table, with a stern face, weighs the arguments, his fingers steepled. The atmosphere is tense, the stakes high, as each voice adds a layer of complexity to the decision at hand.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Demographics & Diversity", "reason_1": "Video 1 depicts a homogenous group of older individuals, missing the 'young man' and 'diverse group' requirements.", "reason_2": "Video 2 successfully generates a diverse group including a young man, a middle-aged woman, and an elderly gentleman as requested.", "score_1": 2, "score_2": 8}, {"name": "Action Specificity (Gestures & Posture)", "reason_1": "The subjects in Video 1 are largely static or performing generic writing motions, missing the specific 'passionate argument' or 'leaning back' poses.", "reason_2": "Video 2 captures the 'arms crossed' pose of the young man and the 'scribbling' of the woman, aligning closer to the prompt's action descriptions.", "score_1": 3, "score_2": 7}, {"name": "Environmental Atmosphere (Lighting)", "reason_1": "Video 1 correctly renders a 'dimly lit' room with moody, dramatic lighting.", "reason_2": "Video 2 ignores the 'dimly lit' instruction, presenting a brightly lit, standard office environment.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 2 correctly identifies and generates the specific demographic mix (young man, elderly man, woman) and poses (arms crossed, scribbling) requested, whereas Video 1 presents a generic, homogenous group.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Facial Anatomy & Integrity", "reason_1": "Faces in Video 1 are heavily distorted, with melting features and unnatural eyes.", "reason_2": "Faces in Video 2 are coherent, distinct, and anatomically correct throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The video is blurry, low-resolution, and lacks texture detail.", "reason_2": "The video is sharp, high-resolution, and displays clear textures on clothing and skin.", "score_1": 2, "score_2": 8}, {"name": "Morphological Stability", "reason_1": "Subjects in Video 1 exhibit warping and shifting shapes as the camera moves.", "reason_2": "Subjects in Video 2 maintain their form and volume consistently during the camera pan.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 is vastly superior in technical execution, offering sharp, stable, and realistic human features, while Video 1 suffers from severe distortion and low resolution.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Tone & Mood", "reason_1": "Video 1 successfully establishes the 'tense' and 'dimly lit' atmosphere described in the prompt.", "reason_2": "Video 2 feels like generic corporate stock footage, lacking the requested tension and dramatic mood.", "score_1": 7, "score_2": 3}, {"name": "Camera Motion Quality", "reason_1": "The camera movement is somewhat shaky and disorienting.", "reason_2": "The camera executes a smooth, professional pan across the table.", "score_1": 4, "score_2": 6}, {"name": "Overall Visual Appeal", "reason_1": "The visual experience is marred by artifacts and distortion, making it unpleasant to watch.", "reason_2": "The video is clean, well-lit, and visually coherent, making it much more aesthetically pleasing.", "score_1": 2, "score_2": 8}], "cat_reason": "Although Video 1 has a better 'mood', Video 2 provides a professional, watchable, and aesthetically pleasing result with smooth camera work.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly superior generation quality, producing a high-resolution, stable, and anatomically correct video. It also adheres much better to the specific character demographics (young man, elderly man, woman) and poses (arms crossed, scribbling) described in the prompt. Video 1, while capturing the 'dimly lit' atmosphere better, suffers from severe facial distortion, low resolution, and fails to represent the requested diversity of the group.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 68.985} +{"pair_id": "061_seed_42", "sample_index": 61, "seed": 42, "prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_061_seed_42_A group of teenagers clad in casual streetwear per.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Quantity & Group Dynamics\", \"reason_1\": \"Video 1 depicts a single individual, failing the 'group' requirement entirely.\", \"reason_2\": \"Video 2 also depicts a single individual, failing the 'group' requirement entirely.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Action Specificity (Stunts & Wheelies)\", \"reason_1\": \"The subject performs a wheelie, but the vehicle is a morphing, unrecognizable hybrid that lacks mechanical logic.\", \"reason_2\": \"The subject performs a clear, physically plausible wheelie on a recognizable bicycle.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Conclusion (Helmet Shot)\", \"reason_1\": \"The video ends with a helmet on the ground, but the transition is abrupt and the helmet appears to float or slide unnaturally.\", \"reason_2\": \"The video ends with a clear, grounded shot of the helmet on the curb, effectively serving as the requested narrative conclusion.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Both videos fail the 'group' constraint, but Video 2 executes the specific action (wheelie) and the narrative conclusion (helmet shot) with greater clarity and logical consistency.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Vehicle)\", \"reason_1\": \"The vehicle is a severe hallucination, shifting between a unicycle, a hoverboard, and a bike with disappearing wheels.\", \"reason_2\": \"The bicycle maintains a consistent shape, size, and structure throughout the clip.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Physical Plausibility & Grounding\", \"reason_1\": \"The rider floats above the vehicle, and the vehicle slides sideways without proper friction or gravity.\", \"reason_2\": \"The rider's balance and the bike's interaction with the road surface follow basic laws of physics.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Background Stability (Traffic)\", \"reason_1\": \"Background cars are present but suffer from warping and inconsistent motion.\", \"reason_2\": \"Background cars are relatively stable, though they exhibit some minor AI-typical distortion.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is far superior in maintaining the structural integrity of the subject and vehicle. Video 1 is plagued by severe morphing and physics hallucinations.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is somewhat blurry and lacks definition in the subject's features.\", \"reason_2\": \"The video is sharper, with better definition of the rider and the environment.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Camera Tracking & Framing\", \"reason_1\": \"The camera follows the subject, but the framing is awkward as the subject distorts.\", \"reason_2\": \"The camera tracks the wheelie smoothly, keeping the action centered and readable.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Lighting (Sun & Shadows)\", \"reason_1\": \"Successfully captures the bright sunlight and long shadows requested.\", \"reason_2\": \"Successfully captures the bright sunlight and long shadows requested.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 offers a cleaner, sharper image with better camera tracking, whereas Video 1 is blurry and visually confusing due to the artifacts.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 demonstrates significantly superior morphological stability and physical realism. While both videos fail to generate the requested 'group' of teenagers (showing only a single rider), Video 2 presents a coherent bicycle and rider performing a recognizable wheelie. Video 1 suffers from severe hallucinations, where the vehicle morphs between a unicycle and a hoverboard, and the rider's physics are floaty and unnatural. Video 2 also integrates the final 'helmet' shot more naturally into the scene.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A group of teenagers, clad in casual streetwear, perform daring stunts on a bustling highway, weaving between speeding cars with reckless abandon. The camera captures their exhilarated expressions as they execute wheelies and jumps, the roar of engines and honking horns creating a chaotic symphony. The sun casts long shadows on the asphalt, highlighting their audacious maneuvers. As they narrowly avoid collisions, the tension mounts, underscoring the perilous nature of their actions. The video concludes with a sobering shot of a discarded helmet lying on the roadside, a stark reminder of the potential consequences of their thrill-seeking exploits.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Quantity & Group Dynamics", "reason_1": "Video 1 depicts a single individual, failing the 'group' requirement entirely.", "reason_2": "Video 2 also depicts a single individual, failing the 'group' requirement entirely.", "score_1": 5, "score_2": 5}, {"name": "Action Specificity (Stunts & Wheelies)", "reason_1": "The subject performs a wheelie, but the vehicle is a morphing, unrecognizable hybrid that lacks mechanical logic.", "reason_2": "The subject performs a clear, physically plausible wheelie on a recognizable bicycle.", "score_1": 3, "score_2": 7}, {"name": "Narrative Conclusion (Helmet Shot)", "reason_1": "The video ends with a helmet on the ground, but the transition is abrupt and the helmet appears to float or slide unnaturally.", "reason_2": "The video ends with a clear, grounded shot of the helmet on the curb, effectively serving as the requested narrative conclusion.", "score_1": 4, "score_2": 6}], "cat_reason": "Both videos fail the 'group' constraint, but Video 2 executes the specific action (wheelie) and the narrative conclusion (helmet shot) with greater clarity and logical consistency.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Vehicle)", "reason_1": "The vehicle is a severe hallucination, shifting between a unicycle, a hoverboard, and a bike with disappearing wheels.", "reason_2": "The bicycle maintains a consistent shape, size, and structure throughout the clip.", "score_1": 1, "score_2": 9}, {"name": "Physical Plausibility & Grounding", "reason_1": "The rider floats above the vehicle, and the vehicle slides sideways without proper friction or gravity.", "reason_2": "The rider's balance and the bike's interaction with the road surface follow basic laws of physics.", "score_1": 2, "score_2": 8}, {"name": "Background Stability (Traffic)", "reason_1": "Background cars are present but suffer from warping and inconsistent motion.", "reason_2": "Background cars are relatively stable, though they exhibit some minor AI-typical distortion.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is far superior in maintaining the structural integrity of the subject and vehicle. Video 1 is plagued by severe morphing and physics hallucinations.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Visual Clarity & Sharpness", "reason_1": "The image is somewhat blurry and lacks definition in the subject's features.", "reason_2": "The video is sharper, with better definition of the rider and the environment.", "score_1": 3, "score_2": 7}, {"name": "Camera Tracking & Framing", "reason_1": "The camera follows the subject, but the framing is awkward as the subject distorts.", "reason_2": "The camera tracks the wheelie smoothly, keeping the action centered and readable.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Lighting (Sun & Shadows)", "reason_1": "Successfully captures the bright sunlight and long shadows requested.", "reason_2": "Successfully captures the bright sunlight and long shadows requested.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 offers a cleaner, sharper image with better camera tracking, whereas Video 1 is blurry and visually confusing due to the artifacts.", "cat_winner": "Video 2"}], "reason": "Video 2 demonstrates significantly superior morphological stability and physical realism. While both videos fail to generate the requested 'group' of teenagers (showing only a single rider), Video 2 presents a coherent bicycle and rider performing a recognizable wheelie. Video 1 suffers from severe hallucinations, where the vehicle morphs between a unicycle and a hoverboard, and the rider's physics are floaty and unnatural. Video 2 also integrates the final 'helmet' shot more naturally into the scene.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 65.552} +{"pair_id": "063_seed_930", "sample_index": 63, "seed": 930, "prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_063_seed_930_In a dimly lit laboratory filled with advanced equ.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject & Object Completeness\", \"reason_1\": \"Video 1 clearly renders the scientist, the lab coat, the clipboard, and the unconscious subject in the background.\", \"reason_2\": \"Video 2 renders the scientist and equipment, but the 'unconscious subject' is a distorted, unrecognizable blob of flesh tones that fails to look human.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Recording Data)\", \"reason_1\": \"The scientist in Video 1 is clearly holding a pen and writing on a clipboard, matching the 'meticulously records data' instruction.\", \"reason_2\": \"The scientist in Video 2 holds a pen but the hand and clipboard interaction is vague and lacks the specific 'recording' motion.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Context (Lab & Monitors)\", \"reason_1\": \"Video 1 depicts a believable medical/lab environment with monitors and equipment that look functional.\", \"reason_2\": \"Video 2's environment is cluttered and the equipment looks like melted plastic rather than advanced machinery.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 accurately depicts all key semantic elements: the scientist, the act of recording data, and the unconscious subject. Video 2 fails to render the unconscious subject recognizably.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Human Subjects)\", \"reason_1\": \"The human subjects in Video 1 maintain realistic facial structure and body proportions throughout the clip.\", \"reason_2\": \"The subject in the background of Video 2 is a severe hallucination, appearing as a melted, multi-limbed mass with no coherent anatomy.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects and people in Video 1 remain solid and consistent in shape.\", \"reason_2\": \"Video 2 exhibits significant warping and morphing, particularly in the background elements and the scientist's hands.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"Textures of the lab coat, skin, and paper are sharp and realistic.\", \"reason_2\": \"The image is softer, with a 'plastic' AI sheen and blurred textures on the equipment.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains high realism and anatomical correctness. Video 2 collapses completely in terms of biological plausibility.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Narrative Clarity\", \"reason_1\": \"The scene clearly conveys a scientist working on a patient, aligning with the narrative of a clandestine experiment.\", \"reason_2\": \"The narrative is lost because the viewer is distracted by the grotesque distortion of the patient, making it look like a horror glitch rather than a story.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Tone (Tension vs. Horror)\", \"reason_1\": \"Video 1 captures the 'dimly lit' and serious tone requested.\", \"reason_2\": \"Video 2 creates unintentional body horror due to the generation errors, which is not the intended 'tense' atmosphere.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The framing balances the scientist in the foreground and the subject in the background effectively.\", \"reason_2\": \"The composition is messy, with the background subject blending into the equipment in a confusing way.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully establishes the tense, clinical atmosphere requested. Video 2's visual errors break the immersion and shift the tone to unintentional horror.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior anatomical consistency and semantic accuracy. It successfully renders a realistic human subject in the background and a coherent scientist in the foreground performing the requested action (recording data). Video 2 suffers from severe morphological hallucinations, particularly regarding the unconscious subject, which appears as a distorted, unrecognizable mass, destroying the realism and narrative intent.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit laboratory filled with advanced equipment, a scientist in a white lab coat meticulously records data, surrounded by monitors displaying vital signs of unaware human subjects. The camera pans to reveal the subjects, unconscious and connected to various machines, highlighting the clandestine nature of the experiments. The scientist's face, partially obscured by shadows, reflects a mix of determination and moral conflict. As the camera zooms in, ethical dilemmas become apparent through the scientist's hesitant glances at the subjects and the confidential files marked with red warnings. The atmosphere is tense, underscored by the hum of machinery, suggesting the potential consequences of these unauthorized experiments.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject & Object Completeness", "reason_1": "Video 1 clearly renders the scientist, the lab coat, the clipboard, and the unconscious subject in the background.", "reason_2": "Video 2 renders the scientist and equipment, but the 'unconscious subject' is a distorted, unrecognizable blob of flesh tones that fails to look human.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Recording Data)", "reason_1": "The scientist in Video 1 is clearly holding a pen and writing on a clipboard, matching the 'meticulously records data' instruction.", "reason_2": "The scientist in Video 2 holds a pen but the hand and clipboard interaction is vague and lacks the specific 'recording' motion.", "score_1": 7, "score_2": 3}, {"name": "Environmental Context (Lab & Monitors)", "reason_1": "Video 1 depicts a believable medical/lab environment with monitors and equipment that look functional.", "reason_2": "Video 2's environment is cluttered and the equipment looks like melted plastic rather than advanced machinery.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 accurately depicts all key semantic elements: the scientist, the act of recording data, and the unconscious subject. Video 2 fails to render the unconscious subject recognizably.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Human Subjects)", "reason_1": "The human subjects in Video 1 maintain realistic facial structure and body proportions throughout the clip.", "reason_2": "The subject in the background of Video 2 is a severe hallucination, appearing as a melted, multi-limbed mass with no coherent anatomy.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability", "reason_1": "Objects and people in Video 1 remain solid and consistent in shape.", "reason_2": "Video 2 exhibits significant warping and morphing, particularly in the background elements and the scientist's hands.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Texture", "reason_1": "Textures of the lab coat, skin, and paper are sharp and realistic.", "reason_2": "The image is softer, with a 'plastic' AI sheen and blurred textures on the equipment.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains high realism and anatomical correctness. Video 2 collapses completely in terms of biological plausibility.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Narrative Clarity", "reason_1": "The scene clearly conveys a scientist working on a patient, aligning with the narrative of a clandestine experiment.", "reason_2": "The narrative is lost because the viewer is distracted by the grotesque distortion of the patient, making it look like a horror glitch rather than a story.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Tone (Tension vs. Horror)", "reason_1": "Video 1 captures the 'dimly lit' and serious tone requested.", "reason_2": "Video 2 creates unintentional body horror due to the generation errors, which is not the intended 'tense' atmosphere.", "score_1": 7, "score_2": 3}, {"name": "Composition & Framing", "reason_1": "The framing balances the scientist in the foreground and the subject in the background effectively.", "reason_2": "The composition is messy, with the background subject blending into the equipment in a confusing way.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully establishes the tense, clinical atmosphere requested. Video 2's visual errors break the immersion and shift the tone to unintentional horror.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior anatomical consistency and semantic accuracy. It successfully renders a realistic human subject in the background and a coherent scientist in the foreground performing the requested action (recording data). Video 2 suffers from severe morphological hallucinations, particularly regarding the unconscious subject, which appears as a distorted, unrecognizable mass, destroying the realism and narrative intent.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 68.0, "total_score_2": 22.0, "elapsed_sec": 58.607} +{"pair_id": "066_seed_310", "sample_index": 66, "seed": 310, "prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_310_In a bustling school hallway two teenagers stand f.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_310_In a bustling school hallway two teenagers stand f.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_066_seed_310_In a bustling school hallway two teenagers stand f.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_066_seed_310_In a bustling school hallway two teenagers stand f.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes & Attire Fidelity\", \"reason_1\": \"Video 1 correctly depicts the red hoodie and black jacket as described.\", \"reason_2\": \"Video 2 also correctly depicts the red hoodie and black jacket, with high detail.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Action Escalation (Verbal to Physical)\", \"reason_1\": \"Video 1 depicts the confrontation but the physical interaction is vague and lacks the specific 'pushing' dynamic requested.\", \"reason_2\": \"Video 2 clearly shows the escalation from shouting to a physical shove, aligning perfectly with the prompt's narrative arc.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Crowd & Setting)\", \"reason_1\": \"Video 1 features a static, low-detail background crowd that feels disconnected from the main action.\", \"reason_2\": \"Video 2 features a realistic, bustling hallway with a crowd that feels spatially integrated and reactive.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 captures the specific actions and environmental details with greater fidelity, particularly the physical escalation and the realistic crowd context.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Rendering\", \"reason_1\": \"Video 1 utilizes a flat, cel-shaded anime style which lacks texture depth.\", \"reason_2\": \"Video 2 achieves high-quality photorealism with realistic lighting, skin textures, and fabric details.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Fluidity & Physics\", \"reason_1\": \"The motion in Video 1 is stiff and jerky, typical of lower-frame-rate animation.\", \"reason_2\": \"Video 2 displays smooth, natural human movement and realistic momentum during the physical interaction.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The anime characters maintain their design consistency throughout the clip.\", \"reason_2\": \"The photorealistic subjects maintain their facial features and clothing details consistently.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"Video 2 demonstrates superior technical execution with photorealistic rendering and fluid motion, whereas Video 1 is limited by its stylized, lower-frame-rate animation.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Dynamics (Zoom & Focus)\", \"reason_1\": \"Video 1 uses a static camera angle that fails to execute the requested 'zoom in on their faces'.\", \"reason_2\": \"Video 2 executes a dynamic camera push/zoom that effectively heightens the tension and focuses on the subjects.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Emotional Intensity & Atmosphere\", \"reason_1\": \"The anime style creates a somewhat detached emotional tone; the expressions are generic.\", \"reason_2\": \"The realistic acting and close-up framing successfully convey the 'raw emotion and anger' requested.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Narrative Pacing & Impact\", \"reason_1\": \"The pacing is slow and the climax feels underwhelming due to the lack of dynamic movement.\", \"reason_2\": \"The clip builds tension effectively, culminating in a sudden, impactful physical clash.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 excels in cinematic presentation, utilizing camera movement to enhance the emotional intensity, which was a specific requirement of the prompt.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior photorealistic quality, dynamic camera work, and accurate depiction of the physical escalation described in the prompt. While Video 1 adheres to the basic semantic elements in an anime style, it lacks the requested camera zoom and the visceral intensity of the confrontation. Video 2 successfully captures the 'raw emotion' and 'charged atmosphere' through realistic acting and cinematic framing.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a bustling school hallway, two teenagers stand face-to-face, their expressions tense and voices raised, surrounded by lockers and students. The camera captures the intensity in their eyes, as one, wearing a red hoodie and jeans, gestures emphatically, while the other, in a black jacket and sneakers, clenches his fists. The scene escalates as they push each other, the crowd around them growing, some students watching with concern, others with excitement. The camera zooms in on their faces, highlighting the raw emotion and anger, as the confrontation turns physical, echoing the charged atmosphere of the school environment.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes & Attire Fidelity", "reason_1": "Video 1 correctly depicts the red hoodie and black jacket as described.", "reason_2": "Video 2 also correctly depicts the red hoodie and black jacket, with high detail.", "score_1": 5, "score_2": 5}, {"name": "Action Escalation (Verbal to Physical)", "reason_1": "Video 1 depicts the confrontation but the physical interaction is vague and lacks the specific 'pushing' dynamic requested.", "reason_2": "Video 2 clearly shows the escalation from shouting to a physical shove, aligning perfectly with the prompt's narrative arc.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Crowd & Setting)", "reason_1": "Video 1 features a static, low-detail background crowd that feels disconnected from the main action.", "reason_2": "Video 2 features a realistic, bustling hallway with a crowd that feels spatially integrated and reactive.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 captures the specific actions and environmental details with greater fidelity, particularly the physical escalation and the realistic crowd context.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Rendering", "reason_1": "Video 1 utilizes a flat, cel-shaded anime style which lacks texture depth.", "reason_2": "Video 2 achieves high-quality photorealism with realistic lighting, skin textures, and fabric details.", "score_1": 2, "score_2": 8}, {"name": "Motion Fluidity & Physics", "reason_1": "The motion in Video 1 is stiff and jerky, typical of lower-frame-rate animation.", "reason_2": "Video 2 displays smooth, natural human movement and realistic momentum during the physical interaction.", "score_1": 3, "score_2": 7}, {"name": "Subject Identity Persistence", "reason_1": "The anime characters maintain their design consistency throughout the clip.", "reason_2": "The photorealistic subjects maintain their facial features and clothing details consistently.", "score_1": 5, "score_2": 5}], "cat_reason": "Video 2 demonstrates superior technical execution with photorealistic rendering and fluid motion, whereas Video 1 is limited by its stylized, lower-frame-rate animation.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Dynamics (Zoom & Focus)", "reason_1": "Video 1 uses a static camera angle that fails to execute the requested 'zoom in on their faces'.", "reason_2": "Video 2 executes a dynamic camera push/zoom that effectively heightens the tension and focuses on the subjects.", "score_1": 2, "score_2": 8}, {"name": "Emotional Intensity & Atmosphere", "reason_1": "The anime style creates a somewhat detached emotional tone; the expressions are generic.", "reason_2": "The realistic acting and close-up framing successfully convey the 'raw emotion and anger' requested.", "score_1": 3, "score_2": 7}, {"name": "Narrative Pacing & Impact", "reason_1": "The pacing is slow and the climax feels underwhelming due to the lack of dynamic movement.", "reason_2": "The clip builds tension effectively, culminating in a sudden, impactful physical clash.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 excels in cinematic presentation, utilizing camera movement to enhance the emotional intensity, which was a specific requirement of the prompt.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior photorealistic quality, dynamic camera work, and accurate depiction of the physical escalation described in the prompt. While Video 1 adheres to the basic semantic elements in an anime style, it lacks the requested camera zoom and the visceral intensity of the confrontation. Video 2 successfully captures the 'raw emotion' and 'charged atmosphere' through realistic acting and cinematic framing.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 30.0, "total_score_2": 60.0, "elapsed_sec": 54.692} +{"pair_id": "069_seed_42", "sample_index": 69, "seed": 42, "prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_42_A tense scene unfolds on a bustling urban street w.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_42_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_069_seed_42_A tense scene unfolds on a bustling urban street w.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_069_seed_42_A tense scene unfolds on a bustling urban street w.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Expression Fidelity (Anger & Hostility)\", \"reason_1\": \"Video 1 clearly depicts faces contorted in anger, shouting, and aggression, aligning perfectly with the prompt's description of the mob's emotion.\", \"reason_2\": \"Video 2 shows expressions of shock, confusion, or mild distress, but completely lacks the 'anger and hostility' explicitly requested for the mob.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Action Dynamics (Surging Forward)\", \"reason_1\": \"The subjects in Video 1 are actively moving forward and gesturing aggressively, creating the sense of a 'surge' described in the prompt.\", \"reason_2\": \"The crowd in Video 2 is largely static or shuffling slowly, failing to convey the kinetic energy of a surging mob.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Subject Differentiation (Aggressors vs. Targeted)\", \"reason_1\": \"Video 1 fails to clearly distinguish a 'targeted group' from the 'aggressive mob'; it appears as a single unified group of angry men.\", \"reason_2\": \"Video 2 also fails to establish a clear narrative contrast between two opposing groups, presenting a homogenous crowd with ambiguous roles.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Context (Narrow Alleyways)\", \"reason_1\": \"Video 1 depicts a narrow, bustling street that feels claustrophobic and tense, fitting the 'narrow alleyways' description well.\", \"reason_2\": \"Video 2 shows a narrow space, but the lighting is flatter and the environment feels less immersive and 'bustling' than Video 1.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 strongly adheres to the emotional and action-oriented keywords of the prompt, specifically 'aggressive mob', 'anger', and 'shouts', whereas Video 2 misses the mark on the intensity of the conflict.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Detail\", \"reason_1\": \"The video features sharp textures on the clothing and skin, with good contrast and lighting.\", \"reason_2\": \"The image is soft, washed out, and lacks fine detail, resembling a lower-resolution generation.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability (Faces)\", \"reason_1\": \"Video 1 suffers from severe facial distortions and 'melting' features, particularly in the foreground subjects.\", \"reason_2\": \"Video 2 maintains slightly better structural integrity of the faces, though they still look somewhat artificial and plastic.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Motion Fluidity & Coherence\", \"reason_1\": \"The motion is fluid and energetic, matching the chaotic nature of the scene.\", \"reason_2\": \"The motion is stiff and somewhat jerky, lacking the natural flow of a crowd in motion.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Despite significant morphological issues with faces, Video 1 offers superior visual clarity, texture detail, and motion fluidity compared to the softer, lower-resolution look of Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Tension & Mood\", \"reason_1\": \"The video successfully evokes a 'thick with tension' atmosphere through aggressive body language and intense expressions.\", \"reason_2\": \"The mood is flat and confusing; it feels more like a passive gathering than a tense confrontation.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The framing puts the viewer in the middle of the action, with good depth of field and foreground elements.\", \"reason_2\": \"The composition is flat and lacks dynamic framing, making the scene feel distant and unengaging.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Narrative Energy (Chaotic vs. Static)\", \"reason_1\": \"The clip feels like a snapshot of a larger, chaotic event, aligning with the narrative of a 'confrontation'.\", \"reason_2\": \"The clip lacks narrative drive; the characters are simply standing there, failing to tell the story of a conflict.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 successfully establishes the 'tense' and 'chaotic' mood required by the prompt through better composition and color grading, whereas Video 2 feels emotionally flat.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully captures the core emotional and kinetic requirements of the prompt—specifically the 'aggressive mob', 'anger', and 'chaotic energy'. While both videos struggle to clearly distinguish the 'targeted group' from the aggressors, Video 1 delivers the requested intensity, shouting, and forward surging motion. Video 2, by contrast, presents a static, confused crowd with low visual fidelity and fails to convey the hostility or tension described.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A tense scene unfolds on a bustling urban street, where a diverse group of individuals, identifiable by their traditional attire and cultural symbols, face an aggressive mob. The camera captures the chaotic energy as the crowd surges forward, their faces contorted with anger and hostility. The air is thick with tension, as shouts and cries echo through the narrow alleyways. The group, standing firm yet visibly anxious, attempts to shield themselves, their expressions a mix of fear and resilience. The camera pans to capture the raw emotion and intensity of the confrontation, highlighting the stark contrast between the aggressors and the targeted group, amidst the urban backdrop.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Expression Fidelity (Anger & Hostility)", "reason_1": "Video 1 clearly depicts faces contorted in anger, shouting, and aggression, aligning perfectly with the prompt's description of the mob's emotion.", "reason_2": "Video 2 shows expressions of shock, confusion, or mild distress, but completely lacks the 'anger and hostility' explicitly requested for the mob.", "score_1": 9, "score_2": 1}, {"name": "Action Dynamics (Surging Forward)", "reason_1": "The subjects in Video 1 are actively moving forward and gesturing aggressively, creating the sense of a 'surge' described in the prompt.", "reason_2": "The crowd in Video 2 is largely static or shuffling slowly, failing to convey the kinetic energy of a surging mob.", "score_1": 8, "score_2": 2}, {"name": "Subject Differentiation (Aggressors vs. Targeted)", "reason_1": "Video 1 fails to clearly distinguish a 'targeted group' from the 'aggressive mob'; it appears as a single unified group of angry men.", "reason_2": "Video 2 also fails to establish a clear narrative contrast between two opposing groups, presenting a homogenous crowd with ambiguous roles.", "score_1": 5, "score_2": 5}, {"name": "Environmental Context (Narrow Alleyways)", "reason_1": "Video 1 depicts a narrow, bustling street that feels claustrophobic and tense, fitting the 'narrow alleyways' description well.", "reason_2": "Video 2 shows a narrow space, but the lighting is flatter and the environment feels less immersive and 'bustling' than Video 1.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 strongly adheres to the emotional and action-oriented keywords of the prompt, specifically 'aggressive mob', 'anger', and 'shouts', whereas Video 2 misses the mark on the intensity of the conflict.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Detail", "reason_1": "The video features sharp textures on the clothing and skin, with good contrast and lighting.", "reason_2": "The image is soft, washed out, and lacks fine detail, resembling a lower-resolution generation.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability (Faces)", "reason_1": "Video 1 suffers from severe facial distortions and 'melting' features, particularly in the foreground subjects.", "reason_2": "Video 2 maintains slightly better structural integrity of the faces, though they still look somewhat artificial and plastic.", "score_1": 4, "score_2": 6}, {"name": "Motion Fluidity & Coherence", "reason_1": "The motion is fluid and energetic, matching the chaotic nature of the scene.", "reason_2": "The motion is stiff and somewhat jerky, lacking the natural flow of a crowd in motion.", "score_1": 7, "score_2": 3}], "cat_reason": "Despite significant morphological issues with faces, Video 1 offers superior visual clarity, texture detail, and motion fluidity compared to the softer, lower-resolution look of Video 2.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Tension & Mood", "reason_1": "The video successfully evokes a 'thick with tension' atmosphere through aggressive body language and intense expressions.", "reason_2": "The mood is flat and confusing; it feels more like a passive gathering than a tense confrontation.", "score_1": 9, "score_2": 1}, {"name": "Cinematic Composition & Depth", "reason_1": "The framing puts the viewer in the middle of the action, with good depth of field and foreground elements.", "reason_2": "The composition is flat and lacks dynamic framing, making the scene feel distant and unengaging.", "score_1": 7, "score_2": 3}, {"name": "Narrative Energy (Chaotic vs. Static)", "reason_1": "The clip feels like a snapshot of a larger, chaotic event, aligning with the narrative of a 'confrontation'.", "reason_2": "The clip lacks narrative drive; the characters are simply standing there, failing to tell the story of a conflict.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 successfully establishes the 'tense' and 'chaotic' mood required by the prompt through better composition and color grading, whereas Video 2 feels emotionally flat.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully captures the core emotional and kinetic requirements of the prompt—specifically the 'aggressive mob', 'anger', and 'chaotic energy'. While both videos struggle to clearly distinguish the 'targeted group' from the aggressors, Video 1 delivers the requested intensity, shouting, and forward surging motion. Video 2, by contrast, presents a static, confused crowd with low visual fidelity and fails to convey the hostility or tension described.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 71.0, "total_score_2": 29.0, "elapsed_sec": 67.042} +{"pair_id": "071_seed_930", "sample_index": 71, "seed": 930, "prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_071_seed_930_A meticulously crafted wooden toy ship glides effo.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Detail Fidelity (Rigging & Craftsmanship)\", \"reason_1\": \"Video 1 presents a ship with simplified, blocky features and lacks the 'delicate rigging' explicitly requested in the prompt.\", \"reason_2\": \"Video 2 renders the ship with exceptional detail, clearly showing the 'delicate rigging' and 'finely carved masts' mentioned in the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Context (Window & Lighting)\", \"reason_1\": \"Video 1 shows a window in the background, but the lighting is flat and does not interact dynamically with the subject.\", \"reason_2\": \"Video 2 effectively utilizes the 'sunlight streaming through a nearby window' to create the requested 'playful shadows' and highlight the wood grain.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Action Adherence (Gliding Motion)\", \"reason_1\": \"Video 1 depicts the ship moving forward across the carpet, aligning better with the instruction that the ship 'glides effortlessly'.\", \"reason_2\": \"Video 2 is largely static in terms of the ship's position; the movement comes from the camera, missing the 'gliding' action.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 2 captures the specific descriptive details of the prompt (rigging, wood grain, lighting) much better than Video 1, despite Video 1 having more forward motion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Rendering (Wood & Carpet)\", \"reason_1\": \"The textures in Video 1 appear smooth and plastic-like, lacking the 'polished wood grain' realism.\", \"reason_2\": \"Video 2 displays high-fidelity textures where the wood grain and carpet fibers are distinct and realistic.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Visual Clarity & Sharpness\", \"reason_1\": \"The image is somewhat soft and lacks definition in the finer details of the ship.\", \"reason_2\": \"The video maintains high sharpness, allowing the viewer to appreciate the 'intricate details' of the model.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Realism & Shadow Play\", \"reason_1\": \"Lighting is uniform and lacks the dynamic contrast expected from a window source.\", \"reason_2\": \"The lighting creates realistic depth and shadows, enhancing the 3D form of the ship.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 demonstrates superior resolution, texture rendering, and lighting realism compared to the softer, flatter look of Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Camera Movement (Zoom vs. Pan)\", \"reason_1\": \"Video 1 uses a tracking shot that keeps the ship at a distance, failing to execute the requested 'zoom in' to reveal details.\", \"reason_2\": \"Video 2 utilizes a close-up framing that effectively simulates the 'zoom in' effect to focus on the craftsmanship.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Tone (Childhood Imagination)\", \"reason_1\": \"The flat lighting and simple composition result in a somewhat sterile, less imaginative atmosphere.\", \"reason_2\": \"The warm lighting and detailed close-up successfully evoke the 'boundless imagination' and 'innocence' described.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is functional but lacks artistic merit or visual engagement.\", \"reason_2\": \"The composition, lighting, and detail combine to create a visually stunning and professional-looking clip.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 captures the 'cinematic' and 'dreamy' mood of the prompt through better framing and lighting, whereas Video 1 feels more like a basic product showcase.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner due to its superior visual fidelity and adherence to the detailed aesthetic requirements of the prompt. While Video 1 depicts the ship moving across the carpet, it lacks the 'meticulous' detail and 'delicate rigging' requested. Video 2 excels in rendering the polished wood grain, intricate rigging, and the specific lighting conditions (sunlight casting playful shadows) described. Although Video 2 is more static in terms of the ship's forward momentum, its camera work effectively simulates the requested 'zoom in' to reveal craftsmanship, whereas Video 1 uses a tracking shot that fails to highlight the intricate details.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A meticulously crafted wooden toy ship glides effortlessly across a vibrant blue plush carpet, evoking the boundless imagination of childhood adventures. The camera zooms in to reveal the ship's intricate details: finely carved masts, delicate rigging, and tiny lifeboats, each element a testament to craftsmanship. As the ship sails, the soft carpet mimics gentle ocean waves, enhancing the illusion of a maritime journey. Sunlight streams through a nearby window, casting playful shadows and highlighting the ship's polished wood grain. The scene captures a moment of pure innocence, where dreams of exploration and discovery come alive in a child's world.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Detail Fidelity (Rigging & Craftsmanship)", "reason_1": "Video 1 presents a ship with simplified, blocky features and lacks the 'delicate rigging' explicitly requested in the prompt.", "reason_2": "Video 2 renders the ship with exceptional detail, clearly showing the 'delicate rigging' and 'finely carved masts' mentioned in the prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Context (Window & Lighting)", "reason_1": "Video 1 shows a window in the background, but the lighting is flat and does not interact dynamically with the subject.", "reason_2": "Video 2 effectively utilizes the 'sunlight streaming through a nearby window' to create the requested 'playful shadows' and highlight the wood grain.", "score_1": 3, "score_2": 7}, {"name": "Action Adherence (Gliding Motion)", "reason_1": "Video 1 depicts the ship moving forward across the carpet, aligning better with the instruction that the ship 'glides effortlessly'.", "reason_2": "Video 2 is largely static in terms of the ship's position; the movement comes from the camera, missing the 'gliding' action.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 2 captures the specific descriptive details of the prompt (rigging, wood grain, lighting) much better than Video 1, despite Video 1 having more forward motion.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Rendering (Wood & Carpet)", "reason_1": "The textures in Video 1 appear smooth and plastic-like, lacking the 'polished wood grain' realism.", "reason_2": "Video 2 displays high-fidelity textures where the wood grain and carpet fibers are distinct and realistic.", "score_1": 2, "score_2": 8}, {"name": "Visual Clarity & Sharpness", "reason_1": "The image is somewhat soft and lacks definition in the finer details of the ship.", "reason_2": "The video maintains high sharpness, allowing the viewer to appreciate the 'intricate details' of the model.", "score_1": 3, "score_2": 7}, {"name": "Lighting Realism & Shadow Play", "reason_1": "Lighting is uniform and lacks the dynamic contrast expected from a window source.", "reason_2": "The lighting creates realistic depth and shadows, enhancing the 3D form of the ship.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 demonstrates superior resolution, texture rendering, and lighting realism compared to the softer, flatter look of Video 1.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Camera Movement (Zoom vs. Pan)", "reason_1": "Video 1 uses a tracking shot that keeps the ship at a distance, failing to execute the requested 'zoom in' to reveal details.", "reason_2": "Video 2 utilizes a close-up framing that effectively simulates the 'zoom in' effect to focus on the craftsmanship.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Tone (Childhood Imagination)", "reason_1": "The flat lighting and simple composition result in a somewhat sterile, less imaginative atmosphere.", "reason_2": "The warm lighting and detailed close-up successfully evoke the 'boundless imagination' and 'innocence' described.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video is functional but lacks artistic merit or visual engagement.", "reason_2": "The composition, lighting, and detail combine to create a visually stunning and professional-looking clip.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 captures the 'cinematic' and 'dreamy' mood of the prompt through better framing and lighting, whereas Video 1 feels more like a basic product showcase.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner due to its superior visual fidelity and adherence to the detailed aesthetic requirements of the prompt. While Video 1 depicts the ship moving across the carpet, it lacks the 'meticulous' detail and 'delicate rigging' requested. Video 2 excels in rendering the polished wood grain, intricate rigging, and the specific lighting conditions (sunlight casting playful shadows) described. Although Video 2 is more static in terms of the ship's forward momentum, its camera work effectively simulates the requested 'zoom in' to reveal craftsmanship, whereas Video 1 uses a tracking shot that fails to highlight the intricate details.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 27.0, "total_score_2": 63.0, "elapsed_sec": 62.28} +{"pair_id": "074_seed_310", "sample_index": 74, "seed": 310, "prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_310_In a magnificent ballroom adorned with intricate g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_310_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_074_seed_310_In a magnificent ballroom adorned with intricate g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_074_seed_310_In a magnificent ballroom adorned with intricate g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory Adherence (Ascent & Pan)\", \"reason_1\": \"Video 1 fails to execute the requested 'slow ascent' and 'pan upward', remaining largely static with only minor jitter.\", \"reason_2\": \"Video 2 perfectly executes the prompt's instruction, starting at eye level and smoothly tilting/panning upward to reveal the ceiling and chandelier.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Action Fidelity (Graceful Dancing)\", \"reason_1\": \"The subjects in Video 1 are morphing and glitching rather than dancing; the motion is chaotic and lacks the requested 'grace'.\", \"reason_2\": \"Video 2 depicts guests in tuxedos and gowns moving in a recognizable waltz or dance pattern, aligning well with the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Chandelier & Decor)\", \"reason_1\": \"Video 1 shows the ballroom decor, but the chandelier is blurry and lacks the 'sparkling' detail requested.\", \"reason_2\": \"Video 2 reveals a highly detailed, large crystal chandelier that fits the description of 'stunning' and 'sparkling like stars'.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the specific camera movement instructions and subject action descriptions much more closely than Video 1.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability (Subject Integrity)\", \"reason_1\": \"Video 1 exhibits severe hallucination; faces melt, limbs disappear, and bodies merge into one another constantly.\", \"reason_2\": \"Video 2 maintains the structural integrity of the dancers and the room throughout the camera movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image in Video 1 is soft, noisy, and lacks definition, particularly in the background elements.\", \"reason_2\": \"Video 2 is crisp, with clear textures on the gold moldings, the chandelier crystals, and the clothing.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion in Video 1 is jerky and unnatural, resembling a series of morphed frames rather than fluid video.\", \"reason_2\": \"Video 2 features smooth, continuous motion for both the camera pan and the dancing subjects.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates professional-grade stability and clarity, whereas Video 1 is plagued by severe artifacts and temporal incoherence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition (The Reveal)\", \"reason_1\": \"Video 1 lacks a clear focal point or compositional progression.\", \"reason_2\": \"Video 2 effectively uses the upward camera tilt to transition the viewer's focus from the social scene to the architectural grandeur, creating a satisfying narrative reveal.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmosphere & Mood (Elegance)\", \"reason_1\": \"The glitchy visuals in Video 1 create an uncanny and disturbing atmosphere rather than an elegant one.\", \"reason_2\": \"Video 2 successfully captures the 'opulent' and 'sophisticated' mood through warm lighting and stable, graceful visuals.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Lighting & Color Harmony\", \"reason_1\": \"Lighting in Video 1 is flat and inconsistent, with shadows that don't match the light sources.\", \"reason_2\": \"Video 2 features rich, warm lighting that highlights the gold accents and the sparkle of the chandelier effectively.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 successfully creates the requested atmosphere of elegance and grandeur through effective composition and lighting.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it faithfully executes the complex camera movement (ascent and upward pan) described in the prompt, whereas Video 1 remains static. Furthermore, Video 2 maintains high visual fidelity and subject stability, while Video 1 suffers from severe morphological distortion, with subjects melting and merging, failing to depict the requested 'graceful' dancing.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a magnificent ballroom adorned with intricate gold moldings and rich velvet drapes, elegantly dressed guests in tuxedos and flowing gowns mingle and dance gracefully. The camera begins its slow ascent, capturing the shimmer of crystal glasses and the soft glow of candlelit tables. As it pans upward, the grandeur of the room unfolds, revealing a stunning chandelier, its crystals sparkling like stars, gently swaying above the polished marble dance floor. The opulent scene is further enhanced by the soft strains of a live orchestra, filling the air with a melody that complements the elegance and sophistication of the evening.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory Adherence (Ascent & Pan)", "reason_1": "Video 1 fails to execute the requested 'slow ascent' and 'pan upward', remaining largely static with only minor jitter.", "reason_2": "Video 2 perfectly executes the prompt's instruction, starting at eye level and smoothly tilting/panning upward to reveal the ceiling and chandelier.", "score_1": 1, "score_2": 9}, {"name": "Subject Action Fidelity (Graceful Dancing)", "reason_1": "The subjects in Video 1 are morphing and glitching rather than dancing; the motion is chaotic and lacks the requested 'grace'.", "reason_2": "Video 2 depicts guests in tuxedos and gowns moving in a recognizable waltz or dance pattern, aligning well with the prompt.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Chandelier & Decor)", "reason_1": "Video 1 shows the ballroom decor, but the chandelier is blurry and lacks the 'sparkling' detail requested.", "reason_2": "Video 2 reveals a highly detailed, large crystal chandelier that fits the description of 'stunning' and 'sparkling like stars'.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the specific camera movement instructions and subject action descriptions much more closely than Video 1.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability (Subject Integrity)", "reason_1": "Video 1 exhibits severe hallucination; faces melt, limbs disappear, and bodies merge into one another constantly.", "reason_2": "Video 2 maintains the structural integrity of the dancers and the room throughout the camera movement.", "score_1": 1, "score_2": 9}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image in Video 1 is soft, noisy, and lacks definition, particularly in the background elements.", "reason_2": "Video 2 is crisp, with clear textures on the gold moldings, the chandelier crystals, and the clothing.", "score_1": 2, "score_2": 8}, {"name": "Motion Smoothness", "reason_1": "The motion in Video 1 is jerky and unnatural, resembling a series of morphed frames rather than fluid video.", "reason_2": "Video 2 features smooth, continuous motion for both the camera pan and the dancing subjects.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates professional-grade stability and clarity, whereas Video 1 is plagued by severe artifacts and temporal incoherence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition (The Reveal)", "reason_1": "Video 1 lacks a clear focal point or compositional progression.", "reason_2": "Video 2 effectively uses the upward camera tilt to transition the viewer's focus from the social scene to the architectural grandeur, creating a satisfying narrative reveal.", "score_1": 2, "score_2": 8}, {"name": "Atmosphere & Mood (Elegance)", "reason_1": "The glitchy visuals in Video 1 create an uncanny and disturbing atmosphere rather than an elegant one.", "reason_2": "Video 2 successfully captures the 'opulent' and 'sophisticated' mood through warm lighting and stable, graceful visuals.", "score_1": 2, "score_2": 8}, {"name": "Lighting & Color Harmony", "reason_1": "Lighting in Video 1 is flat and inconsistent, with shadows that don't match the light sources.", "reason_2": "Video 2 features rich, warm lighting that highlights the gold accents and the sparkle of the chandelier effectively.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 successfully creates the requested atmosphere of elegance and grandeur through effective composition and lighting.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it faithfully executes the complex camera movement (ascent and upward pan) described in the prompt, whereas Video 1 remains static. Furthermore, Video 2 maintains high visual fidelity and subject stability, while Video 1 suffers from severe morphological distortion, with subjects melting and merging, failing to depict the requested 'graceful' dancing.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 19.0, "total_score_2": 71.0, "elapsed_sec": 59.085} +{"pair_id": "077_seed_42", "sample_index": 77, "seed": 42, "prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_077_seed_42_A professional ballet dancer dressed in a flowing.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Action Fidelity (Grand Jeté vs. Other)\", \"reason_1\": \"Video 1 depicts a dancer performing a turn (pirouette or fouetté) rather than the requested 'grand jeté' (leap).\", \"reason_2\": \"Video 2 also fails to perform the 'grand jeté', showing a turn instead. Both videos hallucinated a different ballet move.\", \"score_1\": 5, \"score_2\": 5}, {\"name\": \"Environmental Atmosphere (Sunlight & Shadows)\", \"reason_1\": \"Video 1 perfectly renders the 'golden sunlight streaming' and 'long shadows' on the floor, creating the requested ethereal ambiance.\", \"reason_2\": \"Video 2 has flat, diffuse lighting that lacks the dramatic 'golden' quality and distinct shadows requested in the prompt.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Subject Attributes (Attire & Hair)\", \"reason_1\": \"Video 1 correctly shows the bun and a white outfit, though it adds a stiff tutu instead of a 'flowing leotard'.\", \"reason_2\": \"Video 2 also adds a tutu and gets the bun right, but the outfit details are less distinct due to lower resolution.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 captures the environmental atmosphere and lighting described in the prompt much better than Video 2, although both failed the specific dance move.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Anatomical Integrity (Face & Limbs)\", \"reason_1\": \"The dancer's face and body proportions remain consistent and realistic throughout the rotation.\", \"reason_2\": \"Video 2 suffers from severe facial distortion (melting features) and unnatural limb warping during the movement.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is crisp, with clear textures on the floor and fabric.\", \"reason_2\": \"The video is blurry, low-resolution, and lacks fine detail.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Physics\", \"reason_1\": \"The movement is fluid and the physics of the skirt and hair are rendered reasonably well.\", \"reason_2\": \"The motion feels jerky and the subject appears to slide or float unnaturally rather than interacting with the floor.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates professional-grade stability and clarity, whereas Video 2 exhibits significant artifacts and distortion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"The use of backlighting and volumetric light rays creates a stunning, professional aesthetic that matches the 'ethereal' prompt description.\", \"reason_2\": \"The lighting is dull and uninspired, failing to evoke any specific mood.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is well-framed within the studio space, balancing the dancer against the windows.\", \"reason_2\": \"The framing is somewhat awkward and the background elements feel cluttered and poorly integrated.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually pleasing and looks like a high-quality production.\", \"reason_2\": \"The video is visually unappealing due to artifacts and poor lighting.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 achieves a cinematic look with beautiful lighting and composition, fulfilling the 'ethereal' requirement.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior visual fidelity, stability, and atmospheric rendering. While both videos fail to execute the specific 'grand jeté' (leap) requested—instead showing a turning movement (pirouette)—Video 1 successfully captures the 'ethereal' mood, 'golden sunlight', and 'long shadows' described in the prompt. Video 2 suffers from severe anatomical distortions (facial melting), low resolution, and flat lighting, making it significantly less realistic and aesthetically pleasing.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A professional ballet dancer, dressed in a flowing white leotard and delicate pink ballet slippers, performs a breathtaking grand jeté across a sunlit studio. Her elegant form is silhouetted against the large windows, through which golden sunlight streams, casting long shadows on the polished wooden floor. The camera captures her mid-air, her arms gracefully extended, and her expression serene and focused. Her hair is pulled back into a neat bun, emphasizing the fluidity and precision of her movements. The studio's airy ambiance, with its high ceilings and minimalist decor, enhances the ethereal quality of her performance, highlighting the dancer's grace and strength.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Action Fidelity (Grand Jeté vs. Other)", "reason_1": "Video 1 depicts a dancer performing a turn (pirouette or fouetté) rather than the requested 'grand jeté' (leap).", "reason_2": "Video 2 also fails to perform the 'grand jeté', showing a turn instead. Both videos hallucinated a different ballet move.", "score_1": 5, "score_2": 5}, {"name": "Environmental Atmosphere (Sunlight & Shadows)", "reason_1": "Video 1 perfectly renders the 'golden sunlight streaming' and 'long shadows' on the floor, creating the requested ethereal ambiance.", "reason_2": "Video 2 has flat, diffuse lighting that lacks the dramatic 'golden' quality and distinct shadows requested in the prompt.", "score_1": 9, "score_2": 1}, {"name": "Subject Attributes (Attire & Hair)", "reason_1": "Video 1 correctly shows the bun and a white outfit, though it adds a stiff tutu instead of a 'flowing leotard'.", "reason_2": "Video 2 also adds a tutu and gets the bun right, but the outfit details are less distinct due to lower resolution.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 captures the environmental atmosphere and lighting described in the prompt much better than Video 2, although both failed the specific dance move.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Anatomical Integrity (Face & Limbs)", "reason_1": "The dancer's face and body proportions remain consistent and realistic throughout the rotation.", "reason_2": "Video 2 suffers from severe facial distortion (melting features) and unnatural limb warping during the movement.", "score_1": 9, "score_2": 1}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is crisp, with clear textures on the floor and fabric.", "reason_2": "The video is blurry, low-resolution, and lacks fine detail.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Physics", "reason_1": "The movement is fluid and the physics of the skirt and hair are rendered reasonably well.", "reason_2": "The motion feels jerky and the subject appears to slide or float unnaturally rather than interacting with the floor.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates professional-grade stability and clarity, whereas Video 2 exhibits significant artifacts and distortion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "The use of backlighting and volumetric light rays creates a stunning, professional aesthetic that matches the 'ethereal' prompt description.", "reason_2": "The lighting is dull and uninspired, failing to evoke any specific mood.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The subject is well-framed within the studio space, balancing the dancer against the windows.", "reason_2": "The framing is somewhat awkward and the background elements feel cluttered and poorly integrated.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually pleasing and looks like a high-quality production.", "reason_2": "The video is visually unappealing due to artifacts and poor lighting.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 achieves a cinematic look with beautiful lighting and composition, fulfilling the 'ethereal' requirement.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior visual fidelity, stability, and atmospheric rendering. While both videos fail to execute the specific 'grand jeté' (leap) requested—instead showing a turning movement (pirouette)—Video 1 successfully captures the 'ethereal' mood, 'golden sunlight', and 'long shadows' described in the prompt. Video 2 suffers from severe anatomical distortions (facial melting), low resolution, and flat lighting, making it significantly less realistic and aesthetically pleasing.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 71.0, "total_score_2": 19.0, "elapsed_sec": 57.673} +{"pair_id": "079_seed_930", "sample_index": 79, "seed": 930, "prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_079_seed_930_As the sun dips below the horizon casting a warm g.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Presence & Placement (Hut & Greenery)\", \"reason_1\": \"Video 1 correctly places the hut and palm fronds, but the hut is somewhat obscured by the foreground elements and lacks distinct definition.\", \"reason_2\": \"Video 2 clearly depicts the hut in the distance and uses the palm fronds effectively as a framing device, matching the prompt's structural description well.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Atmospheric Lighting (Golden Glow & Dusk)\", \"reason_1\": \"Video 1 captures the sunset colors but the lighting feels flatter and less dynamic on the water surface.\", \"reason_2\": \"Video 2 excels in rendering the 'warm golden glow' and 'fading light,' with realistic reflections on the wet sand and water that enhance the dusk atmosphere.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Action Fidelity (Waves & Swaying)\", \"reason_1\": \"The waves in Video 1 appear somewhat stiff and lack the 'gentle' rhythmic quality described.\", \"reason_2\": \"Video 2 captures the 'rhythmically caress' of the waves perfectly, with realistic foam patterns and a gentle, natural sway of the palm fronds.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Both videos contain the required elements, but Video 2 integrates them more naturally. The 'gentle waves' and 'swaying fronds' are depicted with greater fidelity to the prompt's description of grace and rhythm.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Texture Sharpness\", \"reason_1\": \"The image is noticeably soft and lacks fine detail, particularly in the sand and water textures.\", \"reason_2\": \"The video is crisp and high-resolution, showing distinct grains of sand, individual water droplets, and sharp edges on the palm leaves.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Fluid Dynamics & Physics\", \"reason_1\": \"The water movement feels slightly artificial, resembling a warping texture rather than fluid simulation.\", \"reason_2\": \"The water exhibits realistic physics, including proper momentum, foam dissipation, and interaction with the shoreline.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Temporal Stability (Foliage)\", \"reason_1\": \"The palm fronds in the foreground exhibit some minor morphing or jittering artifacts during movement.\", \"reason_2\": \"The movement of the leaves is smooth and consistent, maintaining structural integrity throughout the clip.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 is technically superior, offering a sharp, high-definition image with realistic physics. Video 1 appears softer, with lower resolution textures and less convincing motion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Composition & Framing\", \"reason_1\": \"The framing is a bit cluttered, with the large palm trunk on the left dominating the view and blocking the hut.\", \"reason_2\": \"The composition is balanced and professional, using the palm fronds to frame the sunset and hut without obstructing the view.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Mood & Emotional Impact (Tranquility)\", \"reason_1\": \"While peaceful, the lower visual quality detracts slightly from the immersive 'serene ambiance'.\", \"reason_2\": \"The combination of high-quality visuals, soft lighting, and gentle motion perfectly evokes the requested sense of 'peace and tranquility'.\", \"score_1\": 4, \"score_2\": 6}, {\"name\": \"Color Harmony & Grading\", \"reason_1\": \"The colors are accurate to the prompt but lack the depth and contrast found in the other video.\", \"reason_2\": \"The color grading is rich and vibrant, effectively contrasting the warm sunset hues with the cool tones of the ocean.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 presents a more aesthetically pleasing composition and successfully evokes the 'tranquil' and 'serene' mood through superior color grading and framing.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 significantly outperforms Video 1 in terms of visual fidelity, dynamic realism, and aesthetic composition. While both videos adhere to the semantic requirements of the prompt, Video 2 delivers a much sharper image with high-resolution textures (sand, water foam) and realistic fluid dynamics. The lighting in Video 2 creates a more convincing 'golden glow' with accurate reflections on the wet sand, whereas Video 1 suffers from a softer, slightly blurry presentation and stiffer motion.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "As the sun dips below the horizon, casting a warm golden glow across the sky, a tranquil tropical beach scene unfolds. Gentle waves rhythmically caress the sandy shore, their soft whispers blending with the rustling of palm fronds swaying gracefully in the balmy breeze. In the distance, a quaint beachside hut, its thatched roof silhouetted against the vibrant hues of the sunset, exudes a sense of cozy seclusion. The scene is framed by lush greenery, with the occasional call of a distant seabird adding to the serene ambiance. The entire setting is bathed in the soft, fading light of dusk, creating a perfect moment of peace and tranquility.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Presence & Placement (Hut & Greenery)", "reason_1": "Video 1 correctly places the hut and palm fronds, but the hut is somewhat obscured by the foreground elements and lacks distinct definition.", "reason_2": "Video 2 clearly depicts the hut in the distance and uses the palm fronds effectively as a framing device, matching the prompt's structural description well.", "score_1": 4, "score_2": 6}, {"name": "Atmospheric Lighting (Golden Glow & Dusk)", "reason_1": "Video 1 captures the sunset colors but the lighting feels flatter and less dynamic on the water surface.", "reason_2": "Video 2 excels in rendering the 'warm golden glow' and 'fading light,' with realistic reflections on the wet sand and water that enhance the dusk atmosphere.", "score_1": 4, "score_2": 6}, {"name": "Action Fidelity (Waves & Swaying)", "reason_1": "The waves in Video 1 appear somewhat stiff and lack the 'gentle' rhythmic quality described.", "reason_2": "Video 2 captures the 'rhythmically caress' of the waves perfectly, with realistic foam patterns and a gentle, natural sway of the palm fronds.", "score_1": 3, "score_2": 7}], "cat_reason": "Both videos contain the required elements, but Video 2 integrates them more naturally. The 'gentle waves' and 'swaying fronds' are depicted with greater fidelity to the prompt's description of grace and rhythm.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Texture Sharpness", "reason_1": "The image is noticeably soft and lacks fine detail, particularly in the sand and water textures.", "reason_2": "The video is crisp and high-resolution, showing distinct grains of sand, individual water droplets, and sharp edges on the palm leaves.", "score_1": 2, "score_2": 8}, {"name": "Fluid Dynamics & Physics", "reason_1": "The water movement feels slightly artificial, resembling a warping texture rather than fluid simulation.", "reason_2": "The water exhibits realistic physics, including proper momentum, foam dissipation, and interaction with the shoreline.", "score_1": 3, "score_2": 7}, {"name": "Temporal Stability (Foliage)", "reason_1": "The palm fronds in the foreground exhibit some minor morphing or jittering artifacts during movement.", "reason_2": "The movement of the leaves is smooth and consistent, maintaining structural integrity throughout the clip.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 is technically superior, offering a sharp, high-definition image with realistic physics. Video 1 appears softer, with lower resolution textures and less convincing motion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Composition & Framing", "reason_1": "The framing is a bit cluttered, with the large palm trunk on the left dominating the view and blocking the hut.", "reason_2": "The composition is balanced and professional, using the palm fronds to frame the sunset and hut without obstructing the view.", "score_1": 3, "score_2": 7}, {"name": "Mood & Emotional Impact (Tranquility)", "reason_1": "While peaceful, the lower visual quality detracts slightly from the immersive 'serene ambiance'.", "reason_2": "The combination of high-quality visuals, soft lighting, and gentle motion perfectly evokes the requested sense of 'peace and tranquility'.", "score_1": 4, "score_2": 6}, {"name": "Color Harmony & Grading", "reason_1": "The colors are accurate to the prompt but lack the depth and contrast found in the other video.", "reason_2": "The color grading is rich and vibrant, effectively contrasting the warm sunset hues with the cool tones of the ocean.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 presents a more aesthetically pleasing composition and successfully evokes the 'tranquil' and 'serene' mood through superior color grading and framing.", "cat_winner": "Video 2"}], "reason": "Video 2 significantly outperforms Video 1 in terms of visual fidelity, dynamic realism, and aesthetic composition. While both videos adhere to the semantic requirements of the prompt, Video 2 delivers a much sharper image with high-resolution textures (sand, water foam) and realistic fluid dynamics. The lighting in Video 2 creates a more convincing 'golden glow' with accurate reflections on the wet sand, whereas Video 1 suffers from a softer, slightly blurry presentation and stiffer motion.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 31.0, "total_score_2": 59.0, "elapsed_sec": 62.694} +{"pair_id": "082_seed_310", "sample_index": 82, "seed": 310, "prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_310_In a dimly lit industrial workshop a grinding whee.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_310_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_082_seed_310_In a dimly lit industrial workshop a grinding whee.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_082_seed_310_In a dimly lit industrial workshop a grinding whee.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Environmental Atmosphere (Lighting & Setting)\", \"reason_1\": \"Video 1 features a bright, daylight-lit background with large windows, completely failing the 'dimly lit' and 'shadowy backdrop' requirement.\", \"reason_2\": \"Video 2 perfectly renders a dark, moody industrial environment with deep shadows, matching the prompt's atmospheric description.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Subject Action (Sparks Intensity & Pattern)\", \"reason_1\": \"The sparks in Video 1 appear as a dense, uniform stream rather than a 'cascade' of individual particles, lacking the requested 'intricate patterns'.\", \"reason_2\": \"Video 2 generates distinct, high-velocity sparks that 'dance and flicker' individually, creating the requested intricate visual spectacle.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Temporal Style (Slow-Motion Effect)\", \"reason_1\": \"The motion in Video 1 feels like standard speed or slightly sped-up, failing to convey the 'slow-motion effect' that allows appreciation of details.\", \"reason_2\": \"Video 2 successfully utilizes a slow-motion aesthetic, allowing the sparks to hang in the air and travel visibly, enhancing the 'mesmerizing' quality.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 strictly adheres to the environmental and stylistic constraints of the prompt, whereas Video 1 ignores the lighting and motion instructions.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Particle Physics & Trajectory\", \"reason_1\": \"The sparks in Video 1 move in a somewhat artificial, linear fashion, resembling a particle emitter rather than physical debris.\", \"reason_2\": \"Video 2 displays realistic gravity and momentum; sparks bounce off surfaces and fade naturally, showing high physical plausibility.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Visual Fidelity & Texture\", \"reason_1\": \"The image is somewhat soft and lacks definition in the machinery, with the sparks appearing as a blur of light.\", \"reason_2\": \"Video 2 is sharp, with clear textures on the grinding wheel and distinct, crisp rendering of individual sparks.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting Interaction (Illumination)\", \"reason_1\": \"Due to the ambient brightness, the sparks do not significantly 'illuminate the scene' or 'paint the dark surroundings' as requested.\", \"reason_2\": \"The sparks in Video 2 act as a primary light source, casting realistic glows and reflections on the surrounding metal machinery.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 demonstrates superior particle physics and image clarity, while Video 1 suffers from lower resolution and less realistic motion.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Depth\", \"reason_1\": \"The composition is flat with a distracting, busy background that detracts from the main subject.\", \"reason_2\": \"Video 2 uses a shallow depth of field (bokeh) to isolate the sparks against the dark background, creating a professional cinematic look.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The colors are washed out due to the bright background, losing the 'fiery orange and golden hues' against a dark backdrop.\", \"reason_2\": \"Video 2 achieves a striking contrast between the cool, dark industrial tones and the vibrant, warm gold of the sparks.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video feels like generic stock footage with little artistic merit.\", \"reason_2\": \"The video is visually captivating and successfully evokes the 'mesmerizing' mood described in the prompt.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 offers a cinematic, visually arresting composition that elevates the subject matter, whereas Video 1 looks like raw, unedited footage.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner as it perfectly captures the atmospheric and stylistic requirements of the prompt. It delivers the requested 'dimly lit' environment, 'slow-motion effect', and 'mesmerizing' spark details with high fidelity. Video 1 fails significantly on the environmental lighting (it is too bright) and lacks the cinematic slow-motion quality, presenting a flatter, less detailed image.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "In a dimly lit industrial workshop, a grinding wheel spins with intensity, sending a cascade of brilliant sparks into the air. The camera captures each spark in vivid detail, highlighting their fiery orange and golden hues against the shadowy backdrop of metal beams and machinery. As the wheel grinds against metal, the sparks dance and flicker, creating a mesmerizing shower of light that illuminates the scene. The slow-motion effect enhances the spectacle, allowing viewers to appreciate the intricate patterns and vibrant colors of the sparks as they burst forth, painting the dark surroundings with fleeting brilliance.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Environmental Atmosphere (Lighting & Setting)", "reason_1": "Video 1 features a bright, daylight-lit background with large windows, completely failing the 'dimly lit' and 'shadowy backdrop' requirement.", "reason_2": "Video 2 perfectly renders a dark, moody industrial environment with deep shadows, matching the prompt's atmospheric description.", "score_1": 1, "score_2": 9}, {"name": "Subject Action (Sparks Intensity & Pattern)", "reason_1": "The sparks in Video 1 appear as a dense, uniform stream rather than a 'cascade' of individual particles, lacking the requested 'intricate patterns'.", "reason_2": "Video 2 generates distinct, high-velocity sparks that 'dance and flicker' individually, creating the requested intricate visual spectacle.", "score_1": 3, "score_2": 7}, {"name": "Temporal Style (Slow-Motion Effect)", "reason_1": "The motion in Video 1 feels like standard speed or slightly sped-up, failing to convey the 'slow-motion effect' that allows appreciation of details.", "reason_2": "Video 2 successfully utilizes a slow-motion aesthetic, allowing the sparks to hang in the air and travel visibly, enhancing the 'mesmerizing' quality.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 strictly adheres to the environmental and stylistic constraints of the prompt, whereas Video 1 ignores the lighting and motion instructions.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Particle Physics & Trajectory", "reason_1": "The sparks in Video 1 move in a somewhat artificial, linear fashion, resembling a particle emitter rather than physical debris.", "reason_2": "Video 2 displays realistic gravity and momentum; sparks bounce off surfaces and fade naturally, showing high physical plausibility.", "score_1": 3, "score_2": 7}, {"name": "Visual Fidelity & Texture", "reason_1": "The image is somewhat soft and lacks definition in the machinery, with the sparks appearing as a blur of light.", "reason_2": "Video 2 is sharp, with clear textures on the grinding wheel and distinct, crisp rendering of individual sparks.", "score_1": 3, "score_2": 7}, {"name": "Lighting Interaction (Illumination)", "reason_1": "Due to the ambient brightness, the sparks do not significantly 'illuminate the scene' or 'paint the dark surroundings' as requested.", "reason_2": "The sparks in Video 2 act as a primary light source, casting realistic glows and reflections on the surrounding metal machinery.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 demonstrates superior particle physics and image clarity, while Video 1 suffers from lower resolution and less realistic motion.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Depth", "reason_1": "The composition is flat with a distracting, busy background that detracts from the main subject.", "reason_2": "Video 2 uses a shallow depth of field (bokeh) to isolate the sparks against the dark background, creating a professional cinematic look.", "score_1": 2, "score_2": 8}, {"name": "Color Harmony & Contrast", "reason_1": "The colors are washed out due to the bright background, losing the 'fiery orange and golden hues' against a dark backdrop.", "reason_2": "Video 2 achieves a striking contrast between the cool, dark industrial tones and the vibrant, warm gold of the sparks.", "score_1": 3, "score_2": 7}, {"name": "Overall Visual Appeal", "reason_1": "The video feels like generic stock footage with little artistic merit.", "reason_2": "The video is visually captivating and successfully evokes the 'mesmerizing' mood described in the prompt.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 offers a cinematic, visually arresting composition that elevates the subject matter, whereas Video 1 looks like raw, unedited footage.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner as it perfectly captures the atmospheric and stylistic requirements of the prompt. It delivers the requested 'dimly lit' environment, 'slow-motion effect', and 'mesmerizing' spark details with high fidelity. Video 1 fails significantly on the environmental lighting (it is too bright) and lacks the cinematic slow-motion quality, presenting a flatter, less detailed image.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 21.0, "total_score_2": 69.0, "elapsed_sec": 59.956} +{"pair_id": "085_seed_42", "sample_index": 85, "seed": 42, "prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_085_seed_42_The camera glides through a majestic glacial canyo.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Sequential Landscape Completeness\", \"reason_1\": \"Video 1 clearly depicts the glacial canyon, the forest, and the desert in a logical sequence.\", \"reason_2\": \"Video 2 fails to render the 'glacial canyon' entirely, starting with an abstract purple texture that does not resemble ice or a canyon.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Ice & Clouds)\", \"reason_1\": \"The ice walls in Video 1 are blue, towering, and glistening as requested. The clouds are fluffy and pastel.\", \"reason_2\": \"The initial texture in Video 2 is pink/purple and looks like fabric or slime, failing the 'icy' attribute completely.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Transition Logic\", \"reason_1\": \"Video 1 executes the requested transitions (Canyon -> Clouds -> Forest -> Desert) with a sense of journey.\", \"reason_2\": \"Video 2's transitions are disjointed; the shift from the abstract start to the forest feels like a glitch rather than a narrative flow.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 accurately renders the specific environments requested, particularly the glacial canyon, which is absent in Video 2.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Definition & Clarity\", \"reason_1\": \"Textures for the ice, trees, and sand are distinct and reasonably sharp.\", \"reason_2\": \"The video is blurry, and the initial texture is undefined and noisy.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects maintain their form reasonably well during the camera movement.\", \"reason_2\": \"The initial purple mass morphs unnaturally into trees, lacking physical plausibility.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Motion Fluidity\", \"reason_1\": \"The camera glides smoothly through the space.\", \"reason_2\": \"The motion is jerky, especially during the transition from the abstract start to the forest scene.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 maintains better texture definition and motion stability, whereas Video 2 suffers from severe morphing artifacts and low clarity.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Color Palette Harmony\", \"reason_1\": \"Video 1 uses a cohesive palette of muted blues, greens, and warm desert tones that tie the scenes together.\", \"reason_2\": \"Video 2 starts with a jarring, unnatural pink/purple hue that clashes with the subsequent natural scenes.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Atmospheric Mood (Ethereal/Dreamlike)\", \"reason_1\": \"The lighting and soft focus in Video 1 successfully evoke the requested dreamlike quality.\", \"reason_2\": \"The glitchy start and flat lighting in the forest section break the immersion and mood.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Cinematic Composition\", \"reason_1\": \"Video 1 uses a wide shot that effectively establishes the scale of the canyon and the vastness of the desert.\", \"reason_2\": \"Video 2 feels cramped and lacks a clear focal point or sense of scale.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 captures the 'dreamlike' and 'majestic' mood through better composition and color grading.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it successfully visualizes the specific sequence of landscapes described in the prompt, starting with a recognizable glacial canyon and transitioning smoothly to the forest and desert. Video 2 fails significantly at the start, presenting an abstract, unrecognizable purple texture instead of a glacial canyon, and suffers from lower visual fidelity and disjointed transitions.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "The camera glides through a majestic glacial canyon, its icy walls towering and glistening under a soft, muted light. As it soars, the scene transitions into a surreal cloudscape, where fluffy clouds drift lazily across a pastel sky. The motion is fluid and dynamic, capturing the ethereal beauty of the clouds. Suddenly, the view shifts to a serene forest, where tall trees sway gently in a whispering breeze, their leaves a muted green. The journey continues, seamlessly flowing into a tranquil desert, where rolling dunes stretch endlessly, bathed in the soft glow of a setting sun. The muted color palette ties each landscape together, creating a harmonious and dreamlike visual experience.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Sequential Landscape Completeness", "reason_1": "Video 1 clearly depicts the glacial canyon, the forest, and the desert in a logical sequence.", "reason_2": "Video 2 fails to render the 'glacial canyon' entirely, starting with an abstract purple texture that does not resemble ice or a canyon.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Ice & Clouds)", "reason_1": "The ice walls in Video 1 are blue, towering, and glistening as requested. The clouds are fluffy and pastel.", "reason_2": "The initial texture in Video 2 is pink/purple and looks like fabric or slime, failing the 'icy' attribute completely.", "score_1": 8, "score_2": 2}, {"name": "Environmental Transition Logic", "reason_1": "Video 1 executes the requested transitions (Canyon -> Clouds -> Forest -> Desert) with a sense of journey.", "reason_2": "Video 2's transitions are disjointed; the shift from the abstract start to the forest feels like a glitch rather than a narrative flow.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 accurately renders the specific environments requested, particularly the glacial canyon, which is absent in Video 2.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Definition & Clarity", "reason_1": "Textures for the ice, trees, and sand are distinct and reasonably sharp.", "reason_2": "The video is blurry, and the initial texture is undefined and noisy.", "score_1": 8, "score_2": 2}, {"name": "Morphological Stability", "reason_1": "Objects maintain their form reasonably well during the camera movement.", "reason_2": "The initial purple mass morphs unnaturally into trees, lacking physical plausibility.", "score_1": 7, "score_2": 3}, {"name": "Motion Fluidity", "reason_1": "The camera glides smoothly through the space.", "reason_2": "The motion is jerky, especially during the transition from the abstract start to the forest scene.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 maintains better texture definition and motion stability, whereas Video 2 suffers from severe morphing artifacts and low clarity.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Color Palette Harmony", "reason_1": "Video 1 uses a cohesive palette of muted blues, greens, and warm desert tones that tie the scenes together.", "reason_2": "Video 2 starts with a jarring, unnatural pink/purple hue that clashes with the subsequent natural scenes.", "score_1": 8, "score_2": 2}, {"name": "Atmospheric Mood (Ethereal/Dreamlike)", "reason_1": "The lighting and soft focus in Video 1 successfully evoke the requested dreamlike quality.", "reason_2": "The glitchy start and flat lighting in the forest section break the immersion and mood.", "score_1": 8, "score_2": 2}, {"name": "Cinematic Composition", "reason_1": "Video 1 uses a wide shot that effectively establishes the scale of the canyon and the vastness of the desert.", "reason_2": "Video 2 feels cramped and lacks a clear focal point or sense of scale.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 captures the 'dreamlike' and 'majestic' mood through better composition and color grading.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it successfully visualizes the specific sequence of landscapes described in the prompt, starting with a recognizable glacial canyon and transitioning smoothly to the forest and desert. Video 2 fails significantly at the start, presenting an abstract, unrecognizable purple texture instead of a glacial canyon, and suffers from lower visual fidelity and disjointed transitions.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 70.0, "total_score_2": 20.0, "elapsed_sec": 55.322} +{"pair_id": "087_seed_930", "sample_index": 87, "seed": 930, "prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_087_seed_930_A striking woman dressed head-to-toe in vibrant or.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Expression & Emotional Tone\", \"reason_1\": \"The subject maintains a stoic, serene, and powerful gaze throughout the clip, perfectly matching the prompt's emotional requirement.\", \"reason_2\": \"The subject's expression is inconsistent; she smiles and looks around casually, which contradicts the 'serene yet powerful' instruction.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Environmental Detail (Flora & Contrast)\", \"reason_1\": \"Video 1 explicitly includes the 'bright blossoms' and 'colorful flora' in the foreground, creating the requested contrast with the orange attire.\", \"reason_2\": \"Video 2 depicts a generic green forest background without the specific 'array of colorful flora' or distinct blossoms mentioned in the prompt.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Camera Angle & Subject Presence\", \"reason_1\": \"The low angle is used effectively to make the subject look imposing and 'striking' against the towering trees.\", \"reason_2\": \"While the angle is low, the subject's casual movement diminishes the sense of 'presence' and power requested.\", \"score_1\": 6, \"score_2\": 4}], \"cat_reason\": \"Video 1 adheres strictly to the descriptive elements of the prompt, particularly the 'serene yet powerful' expression and the inclusion of specific colorful flora, whereas Video 2 deviates in expression and environmental detail.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The subject's facial features remain consistent and recognizable throughout the entire duration.\", \"reason_2\": \"The subject's face morphs significantly; the facial structure and features change drastically as she moves, breaking the illusion of a single identity.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Morphological Stability (Body & Cloth)\", \"reason_1\": \"The body and clothing maintain a solid, logical form with minimal warping.\", \"reason_2\": \"The clothing and body shape exhibit unnatural shifting and warping during movement.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The image is sharp, with well-defined textures on the skin and fabric.\", \"reason_2\": \"The video appears softer and suffers from generation artifacts, particularly around the face and background edges.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 demonstrates superior technical stability. Video 2 fails significantly in this category due to severe facial morphing and identity loss during movement.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Mood (Enchanting/Dramatic)\", \"reason_1\": \"The lighting and static pose create a dramatic, almost mystical atmosphere that fits the 'enchanting' description.\", \"reason_2\": \"The mood feels casual and lacks the dramatic weight or enchanting quality requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Color Harmony & Contrast\", \"reason_1\": \"The vibrant orange pops beautifully against the deep greens and the specific red/yellow flowers, achieving the requested 'harmony and contrast'.\", \"reason_2\": \"The colors are flatter, and the orange does not stand out as dramatically against the washed-out background.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Compositional Balance\", \"reason_1\": \"The framing places the subject centrally with framing elements (flowers) that guide the eye effectively.\", \"reason_2\": \"The composition is looser and less intentional, with the subject drifting in the frame.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully creates the 'mesmerizing scene of harmony and contrast' described in the prompt through better color grading and composition.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner due to its superior stability, visual fidelity, and closer adherence to the specific atmospheric and emotional requirements of the prompt. While Video 2 attempts more complex motion, it suffers from significant facial morphing and identity loss, which breaks the realism. Video 1 maintains a consistent, striking subject with the requested 'serene yet powerful' expression and delivers a high-contrast, aesthetically pleasing composition that perfectly matches the 'mesmerizing' mood described.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "A striking woman, dressed head-to-toe in vibrant orange, stands amidst a lush tropical rainforest, surrounded by an array of colorful flora. The overcast sky above casts a dramatic contrast, enhancing the vividness of her attire against the rich greens and bright blossoms. The camera captures her from a low angle, emphasizing her presence and the towering trees around her. Her expression is serene yet powerful, as if she is one with the vibrant ecosystem. The gentle rustle of leaves and distant calls of exotic birds add to the enchanting atmosphere, creating a mesmerizing scene of harmony and contrast.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Expression & Emotional Tone", "reason_1": "The subject maintains a stoic, serene, and powerful gaze throughout the clip, perfectly matching the prompt's emotional requirement.", "reason_2": "The subject's expression is inconsistent; she smiles and looks around casually, which contradicts the 'serene yet powerful' instruction.", "score_1": 8, "score_2": 2}, {"name": "Environmental Detail (Flora & Contrast)", "reason_1": "Video 1 explicitly includes the 'bright blossoms' and 'colorful flora' in the foreground, creating the requested contrast with the orange attire.", "reason_2": "Video 2 depicts a generic green forest background without the specific 'array of colorful flora' or distinct blossoms mentioned in the prompt.", "score_1": 7, "score_2": 3}, {"name": "Camera Angle & Subject Presence", "reason_1": "The low angle is used effectively to make the subject look imposing and 'striking' against the towering trees.", "reason_2": "While the angle is low, the subject's casual movement diminishes the sense of 'presence' and power requested.", "score_1": 6, "score_2": 4}], "cat_reason": "Video 1 adheres strictly to the descriptive elements of the prompt, particularly the 'serene yet powerful' expression and the inclusion of specific colorful flora, whereas Video 2 deviates in expression and environmental detail.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The subject's facial features remain consistent and recognizable throughout the entire duration.", "reason_2": "The subject's face morphs significantly; the facial structure and features change drastically as she moves, breaking the illusion of a single identity.", "score_1": 9, "score_2": 1}, {"name": "Morphological Stability (Body & Cloth)", "reason_1": "The body and clothing maintain a solid, logical form with minimal warping.", "reason_2": "The clothing and body shape exhibit unnatural shifting and warping during movement.", "score_1": 8, "score_2": 2}, {"name": "Visual Fidelity & Sharpness", "reason_1": "The image is sharp, with well-defined textures on the skin and fabric.", "reason_2": "The video appears softer and suffers from generation artifacts, particularly around the face and background edges.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 demonstrates superior technical stability. Video 2 fails significantly in this category due to severe facial morphing and identity loss during movement.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Mood (Enchanting/Dramatic)", "reason_1": "The lighting and static pose create a dramatic, almost mystical atmosphere that fits the 'enchanting' description.", "reason_2": "The mood feels casual and lacks the dramatic weight or enchanting quality requested.", "score_1": 8, "score_2": 2}, {"name": "Color Harmony & Contrast", "reason_1": "The vibrant orange pops beautifully against the deep greens and the specific red/yellow flowers, achieving the requested 'harmony and contrast'.", "reason_2": "The colors are flatter, and the orange does not stand out as dramatically against the washed-out background.", "score_1": 7, "score_2": 3}, {"name": "Compositional Balance", "reason_1": "The framing places the subject centrally with framing elements (flowers) that guide the eye effectively.", "reason_2": "The composition is looser and less intentional, with the subject drifting in the frame.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully creates the 'mesmerizing scene of harmony and contrast' described in the prompt through better color grading and composition.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner due to its superior stability, visual fidelity, and closer adherence to the specific atmospheric and emotional requirements of the prompt. While Video 2 attempts more complex motion, it suffers from significant facial morphing and identity loss, which breaks the realism. Video 1 maintains a consistent, striking subject with the requested 'serene yet powerful' expression and delivers a high-contrast, aesthetically pleasing composition that perfectly matches the 'mesmerizing' mood described.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 67.0, "total_score_2": 23.0, "elapsed_sec": 58.427} +{"pair_id": "090_seed_310", "sample_index": 90, "seed": 310, "prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_310_In a vibrant humid rainforest a sloth leisurely tr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_310_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_090_seed_310_In a vibrant humid rainforest a sloth leisurely tr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_090_seed_310_In a vibrant humid rainforest a sloth leisurely tr.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Anatomical Logic\", \"reason_1\": \"The sloth in Video 1 maintains a consistent, recognizable biological form throughout the clip.\", \"reason_2\": \"The subject in Video 2 suffers from severe anatomical hallucinations; the limbs twist unnaturally and the body shape morphs into an amorphous blob.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Attribute Fidelity (Moss-Tinted Fur)\", \"reason_1\": \"Video 1 accurately renders the 'moss-tinted' fur with a distinct green hue that looks like natural coloration.\", \"reason_2\": \"Video 2 renders the fur as a muddy, shifting texture that lacks the specific 'moss-tinted' definition requested.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Adherence (Leisurely Traversing)\", \"reason_1\": \"Video 1 depicts a slow, deliberate movement consistent with a sloth traversing a branch.\", \"reason_2\": \"Video 2 fails to depict traversing; the movement is characterized by glitching and warping rather than locomotion.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 correctly identifies and renders the subject and its specific attributes, whereas Video 2 fails to maintain the basic structural integrity of the sloth.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Morphological Stability\", \"reason_1\": \"The subject retains its volume and shape consistently across all frames.\", \"reason_2\": \"The subject exhibits extreme temporal instability, constantly changing size and shape in a distracting manner.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Physical Plausibility (Gravity & Interaction)\", \"reason_1\": \"The sloth appears to have weight and grips the branch realistically.\", \"reason_2\": \"The subject appears to float or clip through the branch, lacking any sense of physical connection or gravity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Texture Fidelity & Sharpness\", \"reason_1\": \"The fur texture is sharp and detailed, allowing individual strands to be perceived.\", \"reason_2\": \"The texture is blurry and smeared, lacking the definition required for 'intricate details'.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism, while Video 2 is plagued by severe artifacts and temporal incoherence.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Atmospheric Lighting & Mood\", \"reason_1\": \"The lighting is soft and cinematic, effectively highlighting the wet fur and creating the requested serene mood.\", \"reason_2\": \"The lighting is flat and inconsistent, failing to evoke the humid, cinematic atmosphere described.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually pleasing, coherent, and looks like a professional nature shot.\", \"reason_2\": \"The video is visually broken due to the severe morphing artifacts, making it unpleasant to watch.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Composition & Framing\", \"reason_1\": \"The subject is well-framed against the background, drawing the eye to the face and fur details.\", \"reason_2\": \"While the framing is acceptable, the distortion of the subject ruins the composition.\", \"score_1\": 7, \"score_2\": 3}], \"cat_reason\": \"Video 1 successfully captures the cinematic and serene mood requested, while Video 2 is visually jarring due to technical failures.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is the clear winner as it maintains a coherent, anatomically correct subject with high visual fidelity that aligns well with the prompt's descriptive details. Video 2 suffers from catastrophic morphological failure, where the subject's body distorts, melts, and loses structural integrity, completely breaking the realism and semantic alignment.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a vibrant, humid rainforest, a sloth leisurely traverses a thick branch, its every movement deliberate and unhurried. The camera captures the intricate details of its coarse, moss-tinted fur, each strand glistening with moisture under the soft, cinematic lighting that filters through the dense canopy above. The lush green foliage surrounds the sloth, creating a rich tapestry of verdant hues, while the gentle rustle of leaves and distant calls of exotic birds provide a serene soundtrack. As the sloth pauses, its soulful eyes reflect the tranquility of its environment, embodying the essence of the rainforest's timeless, unhurried rhythm.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Anatomical Logic", "reason_1": "The sloth in Video 1 maintains a consistent, recognizable biological form throughout the clip.", "reason_2": "The subject in Video 2 suffers from severe anatomical hallucinations; the limbs twist unnaturally and the body shape morphs into an amorphous blob.", "score_1": 9, "score_2": 1}, {"name": "Attribute Fidelity (Moss-Tinted Fur)", "reason_1": "Video 1 accurately renders the 'moss-tinted' fur with a distinct green hue that looks like natural coloration.", "reason_2": "Video 2 renders the fur as a muddy, shifting texture that lacks the specific 'moss-tinted' definition requested.", "score_1": 8, "score_2": 2}, {"name": "Action Adherence (Leisurely Traversing)", "reason_1": "Video 1 depicts a slow, deliberate movement consistent with a sloth traversing a branch.", "reason_2": "Video 2 fails to depict traversing; the movement is characterized by glitching and warping rather than locomotion.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 correctly identifies and renders the subject and its specific attributes, whereas Video 2 fails to maintain the basic structural integrity of the sloth.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Morphological Stability", "reason_1": "The subject retains its volume and shape consistently across all frames.", "reason_2": "The subject exhibits extreme temporal instability, constantly changing size and shape in a distracting manner.", "score_1": 9, "score_2": 1}, {"name": "Physical Plausibility (Gravity & Interaction)", "reason_1": "The sloth appears to have weight and grips the branch realistically.", "reason_2": "The subject appears to float or clip through the branch, lacking any sense of physical connection or gravity.", "score_1": 8, "score_2": 2}, {"name": "Texture Fidelity & Sharpness", "reason_1": "The fur texture is sharp and detailed, allowing individual strands to be perceived.", "reason_2": "The texture is blurry and smeared, lacking the definition required for 'intricate details'.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism, while Video 2 is plagued by severe artifacts and temporal incoherence.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Atmospheric Lighting & Mood", "reason_1": "The lighting is soft and cinematic, effectively highlighting the wet fur and creating the requested serene mood.", "reason_2": "The lighting is flat and inconsistent, failing to evoke the humid, cinematic atmosphere described.", "score_1": 8, "score_2": 2}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually pleasing, coherent, and looks like a professional nature shot.", "reason_2": "The video is visually broken due to the severe morphing artifacts, making it unpleasant to watch.", "score_1": 9, "score_2": 1}, {"name": "Composition & Framing", "reason_1": "The subject is well-framed against the background, drawing the eye to the face and fur details.", "reason_2": "While the framing is acceptable, the distortion of the subject ruins the composition.", "score_1": 7, "score_2": 3}], "cat_reason": "Video 1 successfully captures the cinematic and serene mood requested, while Video 2 is visually jarring due to technical failures.", "cat_winner": "Video 1"}], "reason": "Video 1 is the clear winner as it maintains a coherent, anatomically correct subject with high visual fidelity that aligns well with the prompt's descriptive details. Video 2 suffers from catastrophic morphological failure, where the subject's body distorts, melts, and loses structural integrity, completely breaking the realism and semantic alignment.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 55.14} +{"pair_id": "093_seed_42", "sample_index": 93, "seed": 42, "prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_42_A vintage teddy bear with worn fur and a stitched.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_42_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_093_seed_42_A vintage teddy bear with worn fur and a stitched.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_093_seed_42_A vintage teddy bear with worn fur and a stitched.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Movement Compliance (Pull Back)\", \"reason_1\": \"Video 1 is a static shot with no discernible camera movement, completely failing the 'slowly pulls back' instruction.\", \"reason_2\": \"Video 2 executes a clear and smooth backward dolly movement, revealing more of the environment as requested.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Action Fidelity (Limb Stretching)\", \"reason_1\": \"The bear in Video 1 only moves its head and mouth; it does not perform the requested limb stretching.\", \"reason_2\": \"Video 2 depicts the bear raising its arms and legs in a distinct stretching motion, aligning perfectly with the prompt.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Attribute Accuracy (Vintage/Worn)\", \"reason_1\": \"The bear in Video 1 appears pristine, clean, and modern, lacking the 'worn' and 'vintage' characteristics specified.\", \"reason_2\": \"The bear in Video 2 has a more textured, slightly messier fur appearance that better fits the description of a 'vintage' and 'worn' toy.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Environmental Context (Bed & Quilt)\", \"reason_1\": \"Video 1 shows the bed and pillows, but the tight framing limits the view of the 'patchwork quilt' and room context.\", \"reason_2\": \"Video 2's wider angle allows for a clearer view of the patchwork quilt and the surrounding pastel pillows, fulfilling the setting description better.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 followed the critical instructions regarding camera movement and subject action, whereas Video 1 ignored the 'pull back' and 'stretching limbs' commands entirely.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Texture Fidelity (Fur & Fabric)\", \"reason_1\": \"The fur texture in Video 1 is exceptionally sharp and detailed, with high-quality lighting interactions.\", \"reason_2\": \"Video 2 has good texture, but it appears slightly softer and less defined than Video 1.\", \"score_1\": 6, \"score_2\": 4}, {\"name\": \"Motion Complexity & Fluidity\", \"reason_1\": \"Video 1 features very limited motion (just a head turn), which is easy to render but lacks dynamic complexity.\", \"reason_2\": \"Video 2 handles complex simultaneous motion (camera moving back + bear stretching limbs) with good fluidity and stability.\", \"score_1\": 3, \"score_2\": 7}, {\"name\": \"Lighting & Atmospheric Consistency\", \"reason_1\": \"Video 1 maintains consistent, high-quality lighting throughout the short clip.\", \"reason_2\": \"Video 2 also maintains excellent lighting consistency as the perspective changes.\", \"score_1\": 5, \"score_2\": 5}], \"cat_reason\": \"While Video 1 has high texture fidelity, Video 2 demonstrates superior dynamic realism by handling complex motion (camera + subject) without breaking coherence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition & Framing\", \"reason_1\": \"The framing in Video 1 is a tight close-up that feels claustrophobic and fails to capture the 'room's whimsical charm'.\", \"reason_2\": \"Video 2 uses a wider shot that effectively establishes the setting and creates a sense of space and atmosphere.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Narrative Progression (The Awakening)\", \"reason_1\": \"Video 1 feels like a static portrait with no sense of a journey or event starting.\", \"reason_2\": \"Video 2 captures the 'spark of life' and the beginning of the 'enchanting journey' through the bear's active stretching and the revealing camera move.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Mood (Magical/Cozy)\", \"reason_1\": \"Video 1 is cute but lacks the specific 'magical' atmosphere due to its static nature.\", \"reason_2\": \"The combination of the stretching action and the revealing camera move in Video 2 successfully evokes the requested magical and whimsical mood.\", \"score_1\": 4, \"score_2\": 6}], \"cat_reason\": \"Video 2 successfully creates a narrative moment (the awakening) through its composition and movement, whereas Video 1 feels like a static character portrait.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is the clear winner because it faithfully executes the specific camera movement ('pulls back') and the complex subject action ('limbs stretching') required by the prompt. Video 1, while visually high-quality, remains a static close-up that fails to depict the requested camera motion or the bear's stretching animation, resulting in a failure to meet the narrative demands of the prompt.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "A vintage teddy bear, with worn fur and a stitched smile, sits on a child's bed, surrounded by pastel pillows and a patchwork quilt. As golden sunlight streams through delicate lace curtains, casting intricate patterns on the walls, the bear's eyes flutter open, revealing a spark of life. The camera slowly pulls back, capturing the room's whimsical charm, as the bear begins to move, its limbs stretching and head turning with newfound animation. The gentle rustle of the curtains and the soft glow of the morning light create a magical atmosphere, as the bear embarks on its enchanting journey within the cozy, sunlit room.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Movement Compliance (Pull Back)", "reason_1": "Video 1 is a static shot with no discernible camera movement, completely failing the 'slowly pulls back' instruction.", "reason_2": "Video 2 executes a clear and smooth backward dolly movement, revealing more of the environment as requested.", "score_1": 1, "score_2": 9}, {"name": "Action Fidelity (Limb Stretching)", "reason_1": "The bear in Video 1 only moves its head and mouth; it does not perform the requested limb stretching.", "reason_2": "Video 2 depicts the bear raising its arms and legs in a distinct stretching motion, aligning perfectly with the prompt.", "score_1": 2, "score_2": 8}, {"name": "Subject Attribute Accuracy (Vintage/Worn)", "reason_1": "The bear in Video 1 appears pristine, clean, and modern, lacking the 'worn' and 'vintage' characteristics specified.", "reason_2": "The bear in Video 2 has a more textured, slightly messier fur appearance that better fits the description of a 'vintage' and 'worn' toy.", "score_1": 3, "score_2": 7}, {"name": "Environmental Context (Bed & Quilt)", "reason_1": "Video 1 shows the bed and pillows, but the tight framing limits the view of the 'patchwork quilt' and room context.", "reason_2": "Video 2's wider angle allows for a clearer view of the patchwork quilt and the surrounding pastel pillows, fulfilling the setting description better.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 followed the critical instructions regarding camera movement and subject action, whereas Video 1 ignored the 'pull back' and 'stretching limbs' commands entirely.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Texture Fidelity (Fur & Fabric)", "reason_1": "The fur texture in Video 1 is exceptionally sharp and detailed, with high-quality lighting interactions.", "reason_2": "Video 2 has good texture, but it appears slightly softer and less defined than Video 1.", "score_1": 6, "score_2": 4}, {"name": "Motion Complexity & Fluidity", "reason_1": "Video 1 features very limited motion (just a head turn), which is easy to render but lacks dynamic complexity.", "reason_2": "Video 2 handles complex simultaneous motion (camera moving back + bear stretching limbs) with good fluidity and stability.", "score_1": 3, "score_2": 7}, {"name": "Lighting & Atmospheric Consistency", "reason_1": "Video 1 maintains consistent, high-quality lighting throughout the short clip.", "reason_2": "Video 2 also maintains excellent lighting consistency as the perspective changes.", "score_1": 5, "score_2": 5}], "cat_reason": "While Video 1 has high texture fidelity, Video 2 demonstrates superior dynamic realism by handling complex motion (camera + subject) without breaking coherence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition & Framing", "reason_1": "The framing in Video 1 is a tight close-up that feels claustrophobic and fails to capture the 'room's whimsical charm'.", "reason_2": "Video 2 uses a wider shot that effectively establishes the setting and creates a sense of space and atmosphere.", "score_1": 2, "score_2": 8}, {"name": "Narrative Progression (The Awakening)", "reason_1": "Video 1 feels like a static portrait with no sense of a journey or event starting.", "reason_2": "Video 2 captures the 'spark of life' and the beginning of the 'enchanting journey' through the bear's active stretching and the revealing camera move.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Mood (Magical/Cozy)", "reason_1": "Video 1 is cute but lacks the specific 'magical' atmosphere due to its static nature.", "reason_2": "The combination of the stretching action and the revealing camera move in Video 2 successfully evokes the requested magical and whimsical mood.", "score_1": 4, "score_2": 6}], "cat_reason": "Video 2 successfully creates a narrative moment (the awakening) through its composition and movement, whereas Video 1 feels like a static character portrait.", "cat_winner": "Video 2"}], "reason": "Video 2 is the clear winner because it faithfully executes the specific camera movement ('pulls back') and the complex subject action ('limbs stretching') required by the prompt. Video 1, while visually high-quality, remains a static close-up that fails to depict the requested camera motion or the bear's stretching animation, resulting in a failure to meet the narrative demands of the prompt.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "total_score_1": 32.0, "total_score_2": 68.0, "elapsed_sec": 64.398} +{"pair_id": "095_seed_930", "sample_index": 95, "seed": 930, "prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4", "presented_video_1_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_2_model": "yw002-1-sage-baseline", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_095_seed_930_The camera begins its ascent from a bustling urban.mp4", "swapped": true, "success": true, "model_output": "{\"prompt\": \"The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Camera Trajectory (Ascent & Reveal)\", \"reason_1\": \"Video 1 attempts an upward motion, but the movement is jerky and the perspective shifts unnaturally, failing to convey a smooth ascent.\", \"reason_2\": \"Video 2 executes a smooth, continuous vertical ascent that logically reveals the cityscape from street level to rooftop view.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Environmental Detail (Rain & Reflections)\", \"reason_1\": \"The video is too blurry to discern specific textures like rain-slicked pavement or distinct neon reflections.\", \"reason_2\": \"The video clearly renders the wet texture of the road and the colorful reflections of the lights on the ground, matching the prompt's description.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Subject Definition (Cars & Pedestrians)\", \"reason_1\": \"Pedestrians and cars are rendered as indistinct, morphing blobs with no clear anatomical or structural definition.\", \"reason_2\": \"Cars and pedestrians are clearly defined, with recognizable shapes and movement patterns appropriate for the scale.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Lighting Transition (Warm to Cool)\", \"reason_1\": \"The lighting is muddy and lacks a distinct transition from warm sunset hues to cool twilight blues.\", \"reason_2\": \"The video effectively captures the contrast between the warm streetlights at the bottom and the cool blue tones of the upper cityscape.\", \"score_1\": 3, \"score_2\": 7}], \"cat_reason\": \"Video 2 accurately depicts the specific environmental details requested, such as rain-slicked pavements and distinct vehicle/pedestrian forms, whereas Video 1 fails to render these elements with any recognizable clarity.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Visual Fidelity & Sharpness\", \"reason_1\": \"The video is extremely blurry and low-resolution, making it difficult to identify any details.\", \"reason_2\": \"The video is sharp, clear, and high-resolution, maintaining detail even during the camera movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Morphological Stability\", \"reason_1\": \"Objects constantly morph, stretch, and dissolve; the geometry of the street and buildings is unstable.\", \"reason_2\": \"Buildings, cars, and the road maintain their rigid structures and geometry throughout the camera movement.\", \"score_1\": 1, \"score_2\": 9}, {\"name\": \"Motion Smoothness\", \"reason_1\": \"The motion is jittery and inconsistent, disrupting the viewing experience.\", \"reason_2\": \"The camera movement is fluid and cinematic, simulating a professional drone or crane shot.\", \"score_1\": 2, \"score_2\": 8}], \"cat_reason\": \"Video 2 maintains high visual fidelity and stability throughout the clip. Video 1 is plagued by severe artifacts, blurring, and temporal incoherence.\", \"cat_winner\": \"Video 2\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Composition\", \"reason_1\": \"The framing is chaotic and lacks a clear focal point or compositional logic.\", \"reason_2\": \"The shot is well-composed, using the street lines to lead the eye upward as the city expands in the background.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Atmospheric Immersion\", \"reason_1\": \"The lack of clarity prevents any real atmosphere from forming; it feels like a glitch rather than a scene.\", \"reason_2\": \"The combination of lighting, reflections, and smooth motion creates a convincing and immersive urban night atmosphere.\", \"score_1\": 2, \"score_2\": 8}, {\"name\": \"Overall Visual Appeal\", \"reason_1\": \"The video is visually unappealing due to heavy distortion and lack of detail.\", \"reason_2\": \"The video is aesthetically pleasing, with vibrant colors and a polished look.\", \"score_1\": 1, \"score_2\": 9}], \"cat_reason\": \"Video 2 successfully creates the 'mesmerizing tapestry' described in the prompt through good composition and lighting. Video 1 fails to evoke any aesthetic appeal due to its technical flaws.\", \"cat_winner\": \"Video 2\"}], \"reason\": \"Video 2 is vastly superior in every metric. It delivers a high-resolution, coherent, and visually stunning execution of the prompt, featuring a smooth camera ascent, clear environmental details (rain, reflections), and distinct subjects. Video 1 suffers from severe low resolution, extreme blurring, and significant morphological instability, making the scene barely recognizable and failing to meet the basic visual standards required.\", \"winner\": \"Video 2\"}", "parsed_output": {"prompt": "The camera begins its ascent from a bustling urban street, capturing the vibrant energy of pedestrians and honking cars, as neon signs flicker to life, casting colorful reflections on rain-slicked pavements. As it rises, the scene transitions seamlessly from the warm hues of sunset to the cool blues of twilight, revealing the intricate network of streets below. Reaching the rooftop, the cityscape unfolds, with skyscrapers gradually illuminating, their windows twinkling like stars against the deepening night sky. The transformation is complete as the city pulses with life, a mesmerizing tapestry of light and shadow, showcasing the dynamic shift from day to night.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Camera Trajectory (Ascent & Reveal)", "reason_1": "Video 1 attempts an upward motion, but the movement is jerky and the perspective shifts unnaturally, failing to convey a smooth ascent.", "reason_2": "Video 2 executes a smooth, continuous vertical ascent that logically reveals the cityscape from street level to rooftop view.", "score_1": 2, "score_2": 8}, {"name": "Environmental Detail (Rain & Reflections)", "reason_1": "The video is too blurry to discern specific textures like rain-slicked pavement or distinct neon reflections.", "reason_2": "The video clearly renders the wet texture of the road and the colorful reflections of the lights on the ground, matching the prompt's description.", "score_1": 2, "score_2": 8}, {"name": "Subject Definition (Cars & Pedestrians)", "reason_1": "Pedestrians and cars are rendered as indistinct, morphing blobs with no clear anatomical or structural definition.", "reason_2": "Cars and pedestrians are clearly defined, with recognizable shapes and movement patterns appropriate for the scale.", "score_1": 1, "score_2": 9}, {"name": "Lighting Transition (Warm to Cool)", "reason_1": "The lighting is muddy and lacks a distinct transition from warm sunset hues to cool twilight blues.", "reason_2": "The video effectively captures the contrast between the warm streetlights at the bottom and the cool blue tones of the upper cityscape.", "score_1": 3, "score_2": 7}], "cat_reason": "Video 2 accurately depicts the specific environmental details requested, such as rain-slicked pavements and distinct vehicle/pedestrian forms, whereas Video 1 fails to render these elements with any recognizable clarity.", "cat_winner": "Video 2"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Visual Fidelity & Sharpness", "reason_1": "The video is extremely blurry and low-resolution, making it difficult to identify any details.", "reason_2": "The video is sharp, clear, and high-resolution, maintaining detail even during the camera movement.", "score_1": 1, "score_2": 9}, {"name": "Morphological Stability", "reason_1": "Objects constantly morph, stretch, and dissolve; the geometry of the street and buildings is unstable.", "reason_2": "Buildings, cars, and the road maintain their rigid structures and geometry throughout the camera movement.", "score_1": 1, "score_2": 9}, {"name": "Motion Smoothness", "reason_1": "The motion is jittery and inconsistent, disrupting the viewing experience.", "reason_2": "The camera movement is fluid and cinematic, simulating a professional drone or crane shot.", "score_1": 2, "score_2": 8}], "cat_reason": "Video 2 maintains high visual fidelity and stability throughout the clip. Video 1 is plagued by severe artifacts, blurring, and temporal incoherence.", "cat_winner": "Video 2"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Composition", "reason_1": "The framing is chaotic and lacks a clear focal point or compositional logic.", "reason_2": "The shot is well-composed, using the street lines to lead the eye upward as the city expands in the background.", "score_1": 2, "score_2": 8}, {"name": "Atmospheric Immersion", "reason_1": "The lack of clarity prevents any real atmosphere from forming; it feels like a glitch rather than a scene.", "reason_2": "The combination of lighting, reflections, and smooth motion creates a convincing and immersive urban night atmosphere.", "score_1": 2, "score_2": 8}, {"name": "Overall Visual Appeal", "reason_1": "The video is visually unappealing due to heavy distortion and lack of detail.", "reason_2": "The video is aesthetically pleasing, with vibrant colors and a polished look.", "score_1": 1, "score_2": 9}], "cat_reason": "Video 2 successfully creates the 'mesmerizing tapestry' described in the prompt through good composition and lighting. Video 1 fails to evoke any aesthetic appeal due to its technical flaws.", "cat_winner": "Video 2"}], "reason": "Video 2 is vastly superior in every metric. It delivers a high-resolution, coherent, and visually stunning execution of the prompt, featuring a smooth camera ascent, clear environmental details (rain, reflections), and distinct subjects. Video 1 suffers from severe low resolution, extreme blurring, and significant morphological instability, making the scene barely recognizable and failing to meet the basic visual standards required.", "winner": "Video 2"}, "winner_video": "video_2", "winner_model": "yw002-1-sage-baseline", "total_score_1": 17.0, "total_score_2": 83.0, "elapsed_sec": 61.701} +{"pair_id": "098_seed_310", "sample_index": 98, "seed": 310, "prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "model_a": "yw002-1-sage-baseline", "model_b": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "model_a_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_310_In a dimly lit studio an artist wearing a worn apr.mp4", "model_b_video": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_310_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_1_model": "yw002-1-sage-baseline", "presented_video_2_model": "yw006-4-sage-qwen35-9b-token-credit-video-adv-2", "presented_video_1_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100/sample_098_seed_310_In a dimly lit studio an artist wearing a worn apr.mp4", "presented_video_2_path": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100/sample_098_seed_310_In a dimly lit studio an artist wearing a worn apr.mp4", "swapped": false, "success": true, "model_output": "{\"prompt\": \"In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.\", \"categories\": [{\"name\": \"A. Semantic Alignment & Accuracy\", \"dims\": [{\"name\": \"Subject Attributes (Glasses & Apron)\", \"reason_1\": \"Video 1 clearly depicts the artist wearing the requested glasses and apron in a consistent manner.\", \"reason_2\": \"Video 2 shows the apron, but the glasses are inconsistent, appearing and disappearing or changing shape between frames.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Action Fidelity (Carving Mechanics)\", \"reason_1\": \"Video 1 depicts a logical carving motion with a tool interacting with the sculpture.\", \"reason_2\": \"Video 2 shows the tool floating near the sculpture without logical physical interaction or carving force.\", \"score_1\": 7, \"score_2\": 3}, {\"name\": \"Environmental Atmosphere (Lighting & Dust)\", \"reason_1\": \"Video 1 successfully renders the 'dimly lit' studio with 'dancing dust particles' and soft ambient light.\", \"reason_2\": \"Video 2 has flat, generic lighting and lacks the specific atmospheric dust effects requested.\", \"score_1\": 9, \"score_2\": 1}], \"cat_reason\": \"Video 1 accurately captures the atmospheric details (dust, lighting) and subject attributes (glasses, apron) consistently. Video 2 fails to maintain the presence of the glasses and lacks the specific environmental mood described.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"B. Video Quality & Dynamic Realism\", \"dims\": [{\"name\": \"Subject Identity Persistence\", \"reason_1\": \"The artist's face and features remain consistent throughout the clip.\", \"reason_2\": \"The artist's face morphs drastically between frames, changing age, facial hair, and structure completely.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Object Stability (Sculpture & Tools)\", \"reason_1\": \"The sculpture and tools maintain their shape and solidity.\", \"reason_2\": \"The sculpture's details shift and warp, and the carving tool lacks structural integrity.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Motion Smoothness & Coherence\", \"reason_1\": \"Movement is fluid and natural.\", \"reason_2\": \"The video stutters with jarring transitions that look like a slideshow of different images rather than a continuous video.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations, morphing subjects, and disjointed motion.\", \"cat_winner\": \"Video 1\"}, {\"name\": \"C. Narrative, Aesthetics & Cinematography\", \"dims\": [{\"name\": \"Cinematic Lighting & Mood\", \"reason_1\": \"The lighting is dramatic and moody, perfectly fitting the 'dimly lit studio' description.\", \"reason_2\": \"The lighting is flat and uninspired, lacking the requested artistic mood.\", \"score_1\": 9, \"score_2\": 1}, {\"name\": \"Camera Focus & Composition\", \"reason_1\": \"The camera effectively focuses on the hands and the work, creating a sense of intimacy.\", \"reason_2\": \"The framing is inconsistent, often cutting off key elements or focusing on the morphing face.\", \"score_1\": 8, \"score_2\": 2}, {\"name\": \"Narrative Expression (Concentration)\", \"reason_1\": \"The artist's expression conveys the requested 'focused determination'.\", \"reason_2\": \"Due to the morphing face, no consistent emotion or narrative intent can be read.\", \"score_1\": 8, \"score_2\": 2}], \"cat_reason\": \"Video 1 achieves a cinematic look with professional lighting and composition that matches the prompt's artistic tone. Video 2 lacks aesthetic cohesion.\", \"cat_winner\": \"Video 1\"}], \"reason\": \"Video 1 is superior in every category. It maintains excellent temporal stability, consistent character identity, and high visual fidelity, effectively capturing the atmospheric lighting and dust particles described in the prompt. Video 2 suffers from severe morphological instability, with the artist's face and the sculpture morphing significantly between frames, and fails to maintain the requested lighting atmosphere.\", \"winner\": \"Video 1\"}", "parsed_output": {"prompt": "In a dimly lit studio, an artist, wearing a worn apron and glasses perched on their nose, meticulously carves a sculpture from a block of marble. The camera captures the precision of each movement, focusing on the artist's skilled hands as they wield a chisel and mallet with practiced ease. Dust particles dance in the soft, ambient light, highlighting the artist's intense concentration. As the sculpture gradually emerges, the camera pans over the intricate details, revealing the delicate curves and textures taking shape. The artist pauses occasionally, stepping back to assess their work, their face a portrait of focused determination and creative passion.", "categories": [{"name": "A. Semantic Alignment & Accuracy", "dims": [{"name": "Subject Attributes (Glasses & Apron)", "reason_1": "Video 1 clearly depicts the artist wearing the requested glasses and apron in a consistent manner.", "reason_2": "Video 2 shows the apron, but the glasses are inconsistent, appearing and disappearing or changing shape between frames.", "score_1": 8, "score_2": 2}, {"name": "Action Fidelity (Carving Mechanics)", "reason_1": "Video 1 depicts a logical carving motion with a tool interacting with the sculpture.", "reason_2": "Video 2 shows the tool floating near the sculpture without logical physical interaction or carving force.", "score_1": 7, "score_2": 3}, {"name": "Environmental Atmosphere (Lighting & Dust)", "reason_1": "Video 1 successfully renders the 'dimly lit' studio with 'dancing dust particles' and soft ambient light.", "reason_2": "Video 2 has flat, generic lighting and lacks the specific atmospheric dust effects requested.", "score_1": 9, "score_2": 1}], "cat_reason": "Video 1 accurately captures the atmospheric details (dust, lighting) and subject attributes (glasses, apron) consistently. Video 2 fails to maintain the presence of the glasses and lacks the specific environmental mood described.", "cat_winner": "Video 1"}, {"name": "B. Video Quality & Dynamic Realism", "dims": [{"name": "Subject Identity Persistence", "reason_1": "The artist's face and features remain consistent throughout the clip.", "reason_2": "The artist's face morphs drastically between frames, changing age, facial hair, and structure completely.", "score_1": 9, "score_2": 1}, {"name": "Object Stability (Sculpture & Tools)", "reason_1": "The sculpture and tools maintain their shape and solidity.", "reason_2": "The sculpture's details shift and warp, and the carving tool lacks structural integrity.", "score_1": 8, "score_2": 2}, {"name": "Motion Smoothness & Coherence", "reason_1": "Movement is fluid and natural.", "reason_2": "The video stutters with jarring transitions that look like a slideshow of different images rather than a continuous video.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 demonstrates high stability and realism. Video 2 is plagued by severe hallucinations, morphing subjects, and disjointed motion.", "cat_winner": "Video 1"}, {"name": "C. Narrative, Aesthetics & Cinematography", "dims": [{"name": "Cinematic Lighting & Mood", "reason_1": "The lighting is dramatic and moody, perfectly fitting the 'dimly lit studio' description.", "reason_2": "The lighting is flat and uninspired, lacking the requested artistic mood.", "score_1": 9, "score_2": 1}, {"name": "Camera Focus & Composition", "reason_1": "The camera effectively focuses on the hands and the work, creating a sense of intimacy.", "reason_2": "The framing is inconsistent, often cutting off key elements or focusing on the morphing face.", "score_1": 8, "score_2": 2}, {"name": "Narrative Expression (Concentration)", "reason_1": "The artist's expression conveys the requested 'focused determination'.", "reason_2": "Due to the morphing face, no consistent emotion or narrative intent can be read.", "score_1": 8, "score_2": 2}], "cat_reason": "Video 1 achieves a cinematic look with professional lighting and composition that matches the prompt's artistic tone. Video 2 lacks aesthetic cohesion.", "cat_winner": "Video 1"}], "reason": "Video 1 is superior in every category. It maintains excellent temporal stability, consistent character identity, and high visual fidelity, effectively capturing the atmospheric lighting and dust particles described in the prompt. Video 2 suffers from severe morphological instability, with the artist's face and the sculpture morphing significantly between frames, and fails to maintain the requested lighting atmosphere.", "winner": "Video 1"}, "winner_video": "video_1", "winner_model": "yw002-1-sage-baseline", "total_score_1": 74.0, "total_score_2": 16.0, "elapsed_sec": 53.797} diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7_summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..06b4ec2ac95ee7bd65da42e51f9f367decde11b3 --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7_summary.json @@ -0,0 +1,31 @@ +{ + "total": 37, + "success": 37, + "counts": { + "yw002-1-sage-baseline": 18, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 19, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.4864864864864865, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5135135135135135 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.4864864864864865, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.5135135135135135 + }, + "latency_sec": { + "mean": 59.68743243243243, + "median": 58.427, + "min": 53.582, + "max": 70.789 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/shards/shard_7.jsonl", + "shard_count": 8, + "shard_index": 7 +} \ No newline at end of file diff --git a/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/summary.json b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/summary.json new file mode 100644 index 0000000000000000000000000000000000000000..235949a4efdbeb94f01dd1bb7655f4847d90d46f --- /dev/null +++ b/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/summary.json @@ -0,0 +1,30 @@ +{ + "total": 300, + "success": 300, + "counts": { + "yw002-1-sage-baseline": 171, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 129, + "tie": 0, + "unknown": 0, + "failed": 0 + }, + "win_rate_including_ties": { + "yw002-1-sage-baseline": 0.57, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.43 + }, + "win_rate_decisive_only": { + "yw002-1-sage-baseline": 0.57, + "yw006-4-sage-qwen35-9b-token-credit-video-adv-2": 0.43 + }, + "dir_a": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw002-1-sage-baseline/videogen_val/step_000100", + "dir_b": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/yw006-4-sage-qwen35-9b-token-credit-video-adv-2/videogen_val/step_000100", + "reward_model_path": "/root/ckpts/UnifiedReward-Flex-qwen35-9b", + "output_jsonl": "/nfs/ywang29/Reward_finetuning/SAGE-GRPO/outputs/unifiedreward_flex_pairwise/yw002-1-sage-baseline_vs_yw006-4-sage-qwen35-9b-token-credit-video-adv-2/step_000100/pairwise_results.jsonl", + "shard_count": 8, + "latency_sec": { + "mean": 60.24731333333333, + "median": 58.537, + "min": 51.801, + "max": 143.692 + } +} \ No newline at end of file