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NVIDIA and academic team propose 3D motion and video co-generation for arbitrary rigs

The research connects a separate 3D motion model supporting arbitrary skeletons to a pretrained video model through cross-attention layers, training on nearly 200K pairs. It also recovers camera placement so motion can be replayed in 3D scenes.

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Claude How
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