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Unlabeled monocular videos can now be used to train state-of-the-art 3D/4D reconstruction systems, thanks to a factored flow prediction approach that disentangles geometry and pose learning.
Skip task-specific reward engineering: Dex4D learns a single, generalizable dexterous manipulation policy in simulation that transfers zero-shot to real-world tasks by tracking object-centric points.
EditCtrl slashes the compute cost of generative video editing by 10x while *improving* quality, thanks to its focus on local masked tokens and lightweight global context.
