Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

31 March 2020

Papers citing "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"

28 / 28 papers shown

Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 67 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 22 4 0 06 Dec 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior Puhua Jiang Mingze Sun Ruqi Huang 19 10 0 08 Nov 2023
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence Filippo Maggioli Daniele Baieri Emanuele Rodolà Simone Melzi 15 5 0 16 May 2023
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences Lennart Bastian Alexander Bauman Emily Hoppe Vincent Burgin Ha Young Kim Mahdi Saleh Benjamin Busam Nassir Navab 22 8 0 15 Apr 2023
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration Zheng Qin Hao Yu Changjian Wang Yuxing Peng Kaiping Xu 3DPC 19 17 0 17 Mar 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
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Zhiyuan Zhang Yuchao Dai Bin Fan Jiadai Sun Mingyi He 3DPC 35 7 0 26 Oct 2022
Searching Dense Point Correspondences via Permutation Matrix Learning Zhiyuan Zhang Jiadai Sun Yuchao Dai Bin Fan Qi Liu 3DPC 19 2 0 26 Oct 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence Mohammad Farazi Wenjie Zhu Zhangsihao Yang Yalin Wang 3DPC 19 3 0 17 Oct 2022
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence Lei Li Souhaib Attaiki M. Ovsjanikov 19 8 0 16 Sep 2022
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 18 1 0 05 Sep 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 14 41 0 14 Mar 2022
3D Point Cloud Registration with Learning-based Matching Algorithm Rintaro Yanagi Atsushi Hashimoto Shusaku Sone Naoya Chiba Jiaxin Ma Yoshitaka Ushiku 3DPC 19 1 0 04 Feb 2022
Structured Prediction Problem Archive Paul Swoboda Bjoern Andres Andrea Hornáková Florian Bernard Jannik Irmai Paul Roetzer Bogdan Savchynskyy David Stein Ahmed Abbas 19 7 0 04 Feb 2022
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport Mahdi Saleh Shun-cheng Wu Luca Cosmo Nassir Navab Benjamin Busam F. Tombari 20 22 0 03 Feb 2022
Complex Functional Maps : a Conformal Link Between Tangent Bundles Nicolas Donati E. Corman Simone Melzi M. Ovsjanikov 13 26 0 17 Dec 2021
Smoothness and effective regularizations in learned embeddings for shape matching R. Marin Souhaib Attaiki Simone Melzi Emanuele Rodolà M. Ovsjanikov 14 1 0 14 Dec 2021
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks Faria Huq Adrish Dey Sahra Yusuf Dena Bazazian Tolga Birdal Nina Miolane 26 1 0 29 Nov 2021
Lepard: Learning partial point cloud matching in rigid and deformable scenes Yang Li Tatsuya Harada 3DPC 32 119 0 24 Nov 2021
DPFM: Deep Partial Functional Maps Souhaib Attaiki Gautam Pai M. Ovsjanikov 22 57 0 19 Oct 2021
Mesh Draping: Parametrization-Free Neural Mesh Transfer Amir Hertz Or Perel Raja Giryes O. Sorkine-Hornung Daniel Cohen-Or 3DH AI4CE 14 4 0 11 Oct 2021
Shape registration in the time of transformers Giovanni Trappolini Luca Cosmo Luca Moschella R. Marin Simone Melzi Emanuele Rodolà ViT 3DPC MedIm 30 56 0 25 Jun 2021
Correspondence Learning via Linearly-invariant Embedding R. Marin Marie-Julie Rakotosaona Simone Melzi M. Ovsjanikov 3DPC 28 64 0 25 Oct 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
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 1,811 0 25 Nov 2016