quaternion
franka_cube_lift_v3_quaternions_xyzwv133_coffee_pod_train_no_quaternionsv140_coffee_pod_train_no_quaternionsCOCO-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 agents.… See the full description on the dataset page: https://huggingface.co/datasets/fhswf/COCO-WB133-Quaternion-Mapping-Dataset.