AI RESEARCH
Uni-Hand: Universal Hand Motion Forecasting in Egocentric Views
arXiv CS.CV
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ArXi:2511.12878v4 Announce Type: replace Forecasting how human hands move in egocentric views is critical for applications like augmented reality and human-robot policy transfer. Recently, several hand trajectory prediction (HTP) methods have been developed to generate future possible hand waypoints, which still suffer from insufficient prediction targets, inherent modality gaps, entangled hand-head motion, and limited validation in downstream tasks.