As-Rigid-As-Possible Regularization for Implicit Surfaces

A new ARAP regularization method brings as-rigid-as-possible deformation to implicit surfaces, not just polygon meshes. The approach samples the surface, uses the implicit representation to compute exact per-sample differentials, and keeps evaluation efficient enough for optimization-heavy pipelines. That makes it relevant for neural shape processing and other geometry workflows that need stable, believable deformation.