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UMR achieves unprecedented motion fidelity by learning dense point cloud correspondences, eliminating the need for manual semantic mappings in humanoid motion retargeting.
HiPHI significantly expands the diversity of human motion data, offering a game-changing resource for training humanoid AI in complex real-world tasks.
