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He-Kun Tian

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Preprint Sep 2026

GeoLAM: Learning Geometry-Grounded Latent Actions from Unlabeled Human Videos

GeoLAM, a framework for learning geometry-grounded latent actions from action-free human videos, combines future-frame reconstruction through a frozen geometric feature hierarchy with motion supervision from a training-only 4D geometry teacher and requires neither the geometry teacher nor future-video generation.

Yi-Fan Xie, He-Kun Tian, Jin-Kun Liu et al. · 0 citations

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