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The Invisible Hand of Physics: When Video Diffusion Models Know More Than They Show

Esmati, Parsa et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitiongraphicsmachine-learning
Modern video diffusion models generate increasingly realistic and temporally coherent videos, motivating their use as candidate world simulators. Yet it remains unclear whether these models internally encode physical structure, or merely reproduce motion patterns seen during training. We study this
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