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Current video generation models struggle with visual reasoning, achieving only 51% accuracy on a new benchmark designed to probe their capabilities.
Reconstructing realistic 3D hand avatars from messy, real-world video just got a whole lot better thanks to a new method that explicitly models and suppresses visual "noise" like motion blur and object interactions.
