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

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

International Conference on 3D Vision (3DV), 2022

16 September 2022

Souhaib Attaiki

ArXiv (abs)PDF HTML

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

7 / 7 papers shown

Title
DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching E. Pierson Lei Li Angela Dai M. Ovsjanikov DiffM 97 0 0 31 Jul 2025
Wormhole Loss for Partial Shape MatchingNeural Information Processing Systems (NeurIPS), 2024 Amit Bracha Thomas Dagès Ron Kimmel 215 8 0 30 Oct 2024
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized ReconstructionNeural Information Processing Systems (NeurIPS), 2024 Souhaib Attaiki M. Ovsjanikov 3DPC 190 11 0 11 Mar 2024
Unsupervised Representation Learning for Diverse Deformable Shape CollectionsInternational Conference on 3D Vision (3DV), 2023 Sara Hahner Souhaib Attaiki Jochen Garcke M. Ovsjanikov 198 2 0 27 Oct 2023
Zero-Shot 3D Shape CorrespondenceACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2023 Ahmed Abdelreheem Abdelrahman Eldesokey M. Ovsjanikov Peter Wonka 208 31 0 05 Jun 2023
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching Souhaib Attaiki Maks Ovsjanikov 3DPC 153 13 0 14 Jan 2023
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape MatchingNeural Information Processing Systems (NeurIPS), 2022 Lei Li Nicolas Donati M. Ovsjanikov 261 43 0 12 Oct 2022