Shanghai AI Lab and partners propose InfiniHand for world-coordinate hand motion reconstruction
Shanghai AI Laboratory, together with Shanghai Jiao Tong University and other teams, proposed InfiniHand, a streaming model that jointly estimates hand position, shape, and camera trajectory to recover continuous hand motion from egocentric video into a shared world coordinate system. The team collected about 5,000 hours of public egocentric video and used a two-stage training pipeline after cleaning; the model achieves 11.19 FPS, more than twice that of HaWoR, and improves reconstruction accuracy on multiple test sets.
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