Datasets:
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README.md
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license: cc-by-nc-4.0
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---
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license: cc-by-nc-4.0
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---
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# GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation.ICCV 2025
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## Dataset description
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- The Streamer dataset we proposed consists of 281 anchors and 20,969 clips of data.
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- The training set contains 19,051 clips of data and 269 anchors.
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- The seen test set contains 920 clips of data, where the anchor ID has appeared in the training set.
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- The unseen test set contains 998 clips of data, where the anchor ID has never appeared in the training set.
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## Dataset structure
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The dataset contains three folders: *train*, *test_seen*, *test_unseen*. Let's *train* train as an example for introduction.
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```plaintext
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-train/
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├── audios/
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│ ├── {anchor_id}/
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│ │ └── {video_name_md5}/
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│ │ └── {start_time}_{end_time}.wav
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├── gestures/
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│ ├── {anchor_id}/
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│ │ └── {video_name_md5}/
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│ │ └── {start_time}_{end_time}.pkl
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```
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The audio data in the audios folder corresponds one-to-one with the human motion data in the gestures folder.
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Data contained in the pkl file:
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- width, height: the video width and height
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- center: the center point of the video
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- batch_size: the sequence length
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- camera_transl: the displacement of the camera
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- focal_length: the pixel focal length of a camera
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- body_pose_axis: (bs, 21x3)
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- jaw_pose: (bs,3)
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- betas: (1,10)
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- global_orient: (bs,3)
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- transl: (bs,3)
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- left_hand_pose: (bs,15x3)
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- right_hand_pose: (bs,15x3)
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- leye_pose: (bs,3)
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- reye_pose: (bs,3)
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- pose_embedding: (bs,32)
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