RINO: Rotation-Invariant Non-Rigid Correspondences

ArXi:2603.27773v1 Announce Type: new Dense 3D shape correspondence remains a central challenge in computer vision and graphics as many deep learning approaches still rely on intermediate geometric features or handcrafted descriptors, limiting their effectiveness under non-isometric deformations, partial data, and non-manifold inputs. To overcome these issues, we