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Preprint Oct 2026

PhysSkin++: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning

Generalizing real-time physics-based animation across diverse 3D shapes and spatial discretizations remains challenging. In this paper, we introduce PhysSkin++, a physics-informed framework that learns continuous neural skinning fields from static geometries to construct compact deformation subspaces. Specifically, we...

Yuan-Hang Lei, Bao-Fei Liu, Xing-Xuan Li et al. · 0 citations
#machine learning Preprint Oct 2026

Scaling Online Optimal Transport Minibatches for Flow Matching

This work develops a scalable online entropic OT approximation that enables substantially larger source-target couplings while preserving the benefits of OT, and proves strict reductions in full stochastic-gradient variance and integration error relative to independent pairing.

P. Chen, Sergey Levine · 0 citations

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