SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence

Lei Li, Souhaib Attaiki, Maks Ovsjanikov

In this work, we present a novel learning-based framework that combines the local accuracy of contrastive learning with the global consistency of geometric approaches, for robust n…