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Harvard University, Impossible, Inc
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A unified generative model for 3D dynamics can predict, inpaint, and control complex SE(3) trajectories across diverse agents and scenes with a single network.
Recovering lost visual details in long-horizon video generation is now possible by compositing non-contiguous spatio-temporal memory, even with a frozen generator.
