PhysSkin++ learns real-time neural skinning without per-object training
A self-supervised autoencoder builds deformation subspaces from static geometry for meshes, clouds, and Gaussians.
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A self-supervised autoencoder builds deformation subspaces from static geometry for meshes, clouds, and Gaussians.
Researchers introduce UniMate, a topology-aware diffusion transformer generating text-driven motion for arbitrary 3D skeletons without per-skeleton retraining.
UniMate is a topology-aware diffusion transformer generating articulated motion for arbitrary rigged skeletons from text, trained on 13,006 motion sequences.
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