2019
Unsupervised Deep Learning for Structured Shape Matching
ICCV 2019oral
We present a novel method for computing correspondences across 3D shapes using unsupervised learning. Our method computes a non-linear transformation of given descriptor functions, while optimizing for global structural properties of the resulting maps, such as their bijectivity or approximate isome…