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Structured Latent Dynamics for Long-Horizon Embodied World Models

Chen, Kevin et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Reliable long-horizon prediction remains a central challenge for embodied world models. Although recent generative models can synthesize visually plausible action-conditioned futures, their latent dynamics are typically learned through unconstrained transition modules, which may gradually deviate fr
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