ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators

Qixing Huang, Xiangru Huang, Bo Sun +3

This paper introduces an unsupervised loss for training parametric deformation shape generators. The key idea is to enforce the preservation of local rigidity among the generated s…