Deep Shells: Unsupervised Shape Correspondence with Optimal Transport

28 October 2020

Laura Leal-Taixé

Papers citing "Deep Shells: Unsupervised Shape Correspondence with Optimal Transport"

26 / 26 papers shown

Title
Non-Rigid Puzzles Or Litany Emanuele Rodolà Alexander M. Bronstein Michael M. Bronstein Daniel Cremers 3DV 33 76 0 26 Nov 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 109 69 0 02 Jun 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 89 155 0 31 Mar 2020
RPM-Net: Robust Point Matching using Learned Features Zi Jian Yew Gim Hee Lee 3DPC 53 440 0 30 Mar 2020
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 99 1,929 0 26 Nov 2019
Smooth Shells: Multi-Scale Shape Registration with Functional Maps Marvin Eisenberger Zorah Lähner Daniel Cremers 59 94 0 29 May 2019
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence Simone Melzi Jing Ren Emanuele Rodolà Abhishek Sharma Peter Wonka M. Ovsjanikov 41 83 0 16 Apr 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 624 8,496 0 03 Jan 2019
Unsupervised Deep Learning for Structured Shape Matching Jean-Michel Roufosse Abhishek Sharma M. Ovsjanikov 3DPC 47 139 0 10 Dec 2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution A. Poulenard M. Ovsjanikov 3DH 45 91 0 01 Oct 2018
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 149 328 0 13 Jun 2018
Continuous and Orientation-preserving Correspondences via Functional Maps Jing Ren A. Poulenard Peter Wonka M. Ovsjanikov 40 166 0 12 Jun 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 72 270 0 23 Feb 2018
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 135 284 0 27 Apr 2017
Learning from Synthetic Humans Gül Varol Javier Romero Xavier Martin Naureen Mahmood Michael J. Black Ivan Laptev Cordelia Schmid 3DH 93 972 0 05 Jan 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space Matthias Vestner R. Litman Emanuele Rodolà A. Bronstein Daniel Cremers 68 130 0 03 Jan 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 450 14,264 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 396 1,819 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 716 3,274 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 581 28,999 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 317 7,646 0 30 Jun 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 154 508 0 20 May 2016
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 150 1,586 0 16 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 193 4,870 0 21 Dec 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 188 4,251 0 04 Jun 2013