Collections
Discover the best community collections!
Collections trending this week
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YOLO-World: Real-Time Open-Vocabulary Object Detection
Paper • 2401.17270 • Published • 43 -
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
Paper • 2401.14405 • Published • 13 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 27
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Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Paper • 2401.15688 • Published • 11 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 72 -
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities
Paper • 2401.15071 • Published • 36
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High-Quality Image Restoration Following Human Instructions
Paper • 2401.16468 • Published • 15 -
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding
Paper • 2401.15708 • Published • 12 -
Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support
Paper • 2401.14688 • Published • 14 -
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts
Paper • 2401.14828 • Published • 9
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Scaling Up Dynamic Human-Scene Interaction Modeling
Paper • 2403.08629 • Published • 14 -
Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM
Paper • 2403.07487 • Published • 16 -
Seamless Human Motion Composition with Blended Positional Encodings
Paper • 2402.15509 • Published • 13 -
MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 19
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OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Efficient Exploration for LLMs
Paper • 2402.00396 • Published • 21 -
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 12
-
High-Quality Image Restoration Following Human Instructions
Paper • 2401.16468 • Published • 15 -
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding
Paper • 2401.15708 • Published • 12 -
Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support
Paper • 2401.14688 • Published • 14 -
TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts
Paper • 2401.14828 • Published • 9
-
YOLO-World: Real-Time Open-Vocabulary Object Detection
Paper • 2401.17270 • Published • 43 -
Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
Paper • 2401.14405 • Published • 13 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 27
-
Scaling Up Dynamic Human-Scene Interaction Modeling
Paper • 2403.08629 • Published • 14 -
Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM
Paper • 2403.07487 • Published • 16 -
Seamless Human Motion Composition with Blended Positional Encodings
Paper • 2402.15509 • Published • 13 -
MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 19
-
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
Paper • 2401.15688 • Published • 11 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 72 -
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities
Paper • 2401.15071 • Published • 36
-
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Efficient Exploration for LLMs
Paper • 2402.00396 • Published • 21 -
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 12