ARAPDiffusion: ARAP Regularization for Diffusion-Based Deformable Shape Space Learning 事件

ARAPDiffusion: ARAP Regularization for Diffusion-Based Deformable Shape Space Learning arXiv:2606.06887v1 Announce Type: new Abstract: This paper introduces ARAPDiffusion, a latent diffusion model to learn the underlying continuous shape space of a deformation shape collection. The key innovation is in injecting the as-rigid-as-possible (ARAP) deformation model as regularization losses into latent diffusion (LD), releasing the requirement of having abundant 3D training data for learning generat