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Neural Voxel Dynamics: Learning Volumetric Feature Advection for 3D Physics in V-JEPA Latent Space
We present Neural Voxel Dynamics, a self-supervised framework for learning 3D latent dynamics from monocular video. While generative video models now produce visually compelling motion, their predominantly 2D representations provide limited geometric structure for modeling and controlling physical i
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