DPFM: Deep Partial Functional Maps

DPFM: Deep Partial Functional Maps

19 October 2021

Souhaib Attaiki

Papers citing "DPFM: Deep Partial Functional Maps"

12 / 12 papers shown

Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 69 1 0 03 Mar 2025
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation Mingze Sun Chen Guo Puhua Jiang Shiwei Mao Yurun Chen Ruqi Huang 46 4 0 18 Sep 2024
Memory-Scalable and Simplified Functional Map Learning Robin Magnet M. Ovsjanikov 27 2 0 30 Mar 2024
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching Lennart Bastian Yizheng Xie Nassir Navab Zorah Lähner 28 4 0 06 Dec 2023
AtomSurf : Surface Representation for Learning on Protein Structures Vincent Mallet Souhaib Attaiki M. Ovsjanikov 36 3 0 28 Sep 2023
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors Marvin Eisenberger Aysim Toker Laura Leal-Taixé Daniel Cremers 11 5 0 06 Dec 2022
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence Lei Li Souhaib Attaiki M. Ovsjanikov 19 8 0 16 Sep 2022
Garment Avatars: Realistic Cloth Driving using Pattern Registration Oshri Halimi F. Prada Tuur Stuyck Donglai Xiang Timur M. Bagautdinov He Wen Ron Kimmel Takaaki Shiratori Chenglei Wu Yaser Sheikh 3DH 23 7 0 07 Jun 2022
Lepard: Learning partial point cloud matching in rigid and deformable scenes Yang Li Tatsuya Harada 3DPC 32 119 0 24 Nov 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 141 622 0 21 Jul 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016