fhswf/COCO-WB133-Quaternion-Mapping-Dataset
WholeBody3D-to-AvatarPose Dataset Overview The WholeBody3D-to-AvatarPose Dataset is a synthetic dataset designed to learn a mapping from 3D whole-body pose estimation outputs to avatar joint rotations represented as quaternions. The primary objective is to enable the training of models that convert COCO WholeBody (133 keypoints) 3D joint coordinates into physically plausible avatar poses, suitable for real-time animation, sign language avatars, and embodied… See the full description on the dataset page: https://huggingface.co/datasets/fhswf/COCO-WB133-Quaternion-Mapping-Dataset.
| Author / organization | fhswf |
|---|---|
| License (as declared) | mit |
| Downloads | 175 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 January 2026 |
| Last updated at source | 20 January 2026 |
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175 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: WholeBody3D-to-AvatarPose Dataset Overview The WholeBody3D-to-AvatarPose Dataset is a synthetic dataset designed to learn a mapping from 3D whole-body pose estimation outputs to avatar joint rotations represented as quaternions. The primary → WholeBody3D-to-AvatarPose Dataset Overview The WholeBody3D-to-AvatarPose Dataset is a synthetic dataset designed to learn a mapping from 3D whole-body pose estimation outputs to avatar joint rotations represented as quaternions. The primary
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