Deep Functional Maps: Structured Prediction for Dense Shape Correspondence

27 April 2017

Papers citing "Deep Functional Maps: Structured Prediction for Dense Shape Correspondence"

41 / 41 papers shown

Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 67 1 0 03 Mar 2025
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
Non-Rigid Shape Registration via Deep Functional Maps Prior Puhua Jiang Mingze Sun Ruqi Huang 29 10 0 08 Nov 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
Correspondence Distillation from NeRF-based GAN Yushi Lan Chen Change Loy Bo Dai 25 9 0 19 Dec 2022
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
Searching Dense Point Correspondences via Permutation Matrix Learning Zhiyuan Zhang Jiadai Sun Yuchao Dai Bin Fan Qi Liu 3DPC 21 2 0 26 Oct 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence Mohammad Farazi Wenjie Zhu Zhangsihao Yang Yalin Wang 3DPC 26 3 0 17 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 18 3 0 24 Sep 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 20 1 0 05 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
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
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 27 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 28 1 0 29 Nov 2021
DPFM: Deep Partial Functional Maps Souhaib Attaiki Gautam Pai M. Ovsjanikov 24 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
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger David Novotny Gael Kerchenbaum Patrick Labatut Natalia Neverova Daniel Cremers Andrea Vedaldi 3DH 3DPC 9 67 0 17 Jun 2021
Q-Match: Iterative Shape Matching via Quantum Annealing Marcel Seelbach Benkner Zorah Lähner Vladislav Golyanik C. Wunderlich Christian Theobalt Michael Moeller 19 34 0 06 May 2021
Correspondence Learning via Linearly-invariant Embedding R. Marin Marie-Julie Rakotosaona Simone Melzi M. Ovsjanikov 3DPC 28 64 0 25 Oct 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence Feng Liu Xiaoming Liu 3DPC 35 36 0 23 Oct 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 19 154 0 31 Mar 2020
LIMP: Learning Latent Shape Representations with Metric Preservation Priors Luca Cosmo Antonio Norelli Oshri Halimi Ron Kimmel Emanuele Rodolà 26 73 0 27 Mar 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering Xin Liu Yongbin Sun Ziwei Liu Dahua Lin 16 26 0 11 Mar 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 22 132 0 20 Feb 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes Zhangsihao Yang Or Litany Tolga Birdal Srinath Sridhar Leonidas J. Guibas 3DH 3DPC 3DV 18 29 0 06 Feb 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 21 207 0 27 Jan 2020
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein S. Zafeiriou 3DH 13 144 0 13 Nov 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 14 379 0 27 Oct 2019
Bilateral Operators for Functional Maps Gautam Pai Mor Joseph-Rivlin Ron Kimmel 19 1 0 30 Jul 2019
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network Boyi Jiang Juyong Zhang Jianfei Cai Jianmin Zheng 3DH AI4CE 17 37 0 14 May 2019
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation Zhiyu Sun Ethan Rooke Jerome Charton Yusen He Jia Lu Stephen Seung-Yeob Baek 23 21 0 03 Dec 2018
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
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions Minhyuk Sung Hao Su Ronald Yu Leonidas J. Guibas 3DPC 3DV 14 34 0 25 May 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 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 241 3,236 0 24 Nov 2016