2022
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching
NeurIPS 2022accept
In this work we present a novel approach for computing correspondences between non-rigid objects, by exploiting a reduced representation of deformation fields. Different from existing works that represent deformation fields by training a general-purpose neural network, we advocate for an approximati…