Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

20 March 2023

Papers citing "Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching"

6 / 6 papers shown

Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 65 1 0 03 Mar 2025
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching Lennart Bastian Yizheng Xie Nassir Navab Zorah Lähner 22 4 0 06 Dec 2023
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 35 32 0 16 Oct 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng Y. Qian Zhiyu Zhu Junhui Hou Hui Yuan Ying He 3DPC 100 66 0 31 Dec 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 620 0 21 Jul 2020
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