Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape
Matching via Unsupervised Functional Map Regularized Reconstruction

Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction

11 March 2024

Souhaib Attaiki

Papers citing "Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction"

4 / 4 papers shown

Title
Unsupervised Learning of Robust Spectral Shape Matching Dongliang Cao Paul Roetzer Florian Bernard 3DPC 21 39 0 27 Apr 2023
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 115 325 0 13 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016