NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go

17 June 2021

Natalia Neverova

Andrea Vedaldi

Papers citing "NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go"

35 / 35 papers shown

Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence Aleksei Zhuravlev Zorah Lähner Vladislav Golyanik DiffM 122 1 0 03 Mar 2025
Non-Rigid Puzzles Or Litany Emanuele Rodolà Alexander M. Bronstein Michael M. Bronstein Daniel Cremers 3DV 35 76 0 26 Nov 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport Marvin Eisenberger Aysim Toker Laura Leal-Taixé Daniel Cremers OT 3DPC 85 80 0 28 Oct 2020
Weakly Supervised Deep Functional Map for Shape Matching Abhishek Sharma M. Ovsjanikov 3DPC OOD 48 12 0 28 Sep 2020
ShapeFlow: Learnable Deformations Among 3D Shapes C. Jiang Jingwei Huang Andrea Tagliasacchi Leonidas Guibas 3DPC AI4CE 97 44 0 14 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 109 69 0 02 Jun 2020
Hamiltonian Dynamics for Real-World Shape Interpolation Marvin Eisenberger Daniel Cremers 24 14 0 10 Apr 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
LIMP: Learning Latent Shape Representations with Metric Preservation Priors Luca Cosmo Antonio Norelli Oshri Halimi Ron Kimmel Emanuele Rodolà 59 73 0 27 Mar 2020
Implicit Geometric Regularization for Learning Shapes Amos Gropp Lior Yariv Niv Haim Matan Atzmon Y. Lipman AI4CE 106 858 0 24 Feb 2020
Smooth Shells: Multi-Scale Shape Registration with Functional Maps Marvin Eisenberger Zorah Lähner Daniel Cremers 59 94 0 29 May 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 154 2,535 0 18 Apr 2019
3DN: 3D Deformation Network Weiyue Wang Duygu Ceylan R. Měch Ulrich Neumann 3DPC 58 128 0 08 Mar 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 128 3,683 0 16 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 236 2,897 0 10 Dec 2018
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 149 329 0 13 Jun 2018
Continuous and Orientation-preserving Correspondences via Functional Maps Jing Ren A. Poulenard Peter Wonka M. Ovsjanikov 42 166 0 12 Jun 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DV 135 1,183 0 15 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,138 0 24 Jan 2018
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 346 11,105 0 07 Jun 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 149 284 0 27 Apr 2017
Learning from Synthetic Humans Gül Varol Javier Romero Xavier Martin Naureen Mahmood Michael J. Black Ivan Laptev Cordelia Schmid 3DH 95 975 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 70 130 0 03 Jan 2017
A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan Hao Su Leonidas Guibas 3DPC 3DV 166 2,239 0 02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 481 14,309 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 412 1,820 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 793 3,281 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 614 29,032 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 339 7,650 0 30 Jun 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 171 508 0 20 May 2016
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration Jiaolong Yang Hongdong Li Dylan Campbell Yunde Jia 3DPC 44 942 0 11 May 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction Chris Choy Danfei Xu JunYoung Gwak Kevin Chen Silvio Savarese 3DV 82 1,715 0 02 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015