arXiv (OAI Expanded)
open access
GeoLAM: Learning Geometry-Grounded Latent Actions from Unlabeled Human Videos
Human videos provide rich manipulation experience, but extracting action representations that preserve useful motion remains challenging. Visual reconstruction alone can entangle manipulation-related motion with appearance changes and camera movement. We present GeoLAM, a framework for learning geom
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