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EgoPhys: Learning Generalizable Physics Models of Deformable Objects from Egocentric Video

Hugging Face Daily Papers · yesterday Cached

EgoPhys introduces a framework to construct deformable physical digital twins from egocentric RGB video using generalizable priors and a compact codebook, enabling zero-shot generalization to unseen objects without per-spring optimization. The system is demonstrated on a real robot, showing that egocentric human play video can serve as internal world representation for deformable-object planning.

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