
LaMo: Self-Supervised Latent Motion Priors for Physical Realism in Video Generation
LaMo extracts self-supervised latent motion priors from unlabeled videos via motion drift loss and prior guidance, improving physical consistency in video diffusion without external supervision.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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