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Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence

17 October 2022

Mohammad Farazi

Yalin Wang

Papers citing "Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence"

20 / 20 papers shown

Title
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching Nicolas Donati E. Corman M. Ovsjanikov 50 35 0 28 Apr 2022
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng Y. Qian Zhiyu Zhu Junhui Hou Hui Yuan Ying He 3DPC 158 68 0 31 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces Nicholas Sharp Souhaib Attaiki Keenan Crane M. Ovsjanikov 3DH 64 205 0 01 Dec 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport Marvin Eisenberger Aysim Toker Laura Leal-Taixé Daniel Cremers OT 3DPC 97 81 0 28 Oct 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 103 158 0 31 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation Heng Chang Yu Rong Tingyang Xu Wenbing Huang Somayeh Sojoudi Junzhou Huang Wenwu Zhu GNN 69 34 0 16 Mar 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes Zhangsihao Yang Or Litany Tolga Birdal Srinath Sridhar Leonidas Guibas 3DH 3DPC 3DV 51 30 0 06 Feb 2020
MGCN: Descriptor Learning using Multiscale GCNs Yiqun Wang Jing Ren Dong‐Ming Yan Jianwei Guo Xiaopeng Zhang Peter Wonka 28 9 0 28 Jan 2020
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein Stefanos Zafeiriou MedIm 3DH 68 165 0 08 May 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 169 2,541 0 18 Apr 2019
Graph Wavelet Neural Network Bingbing Xu Huawei Shen Qi Cao Yunqi Qiu Xueqi Cheng GNN 70 332 0 12 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 234 4,361 0 06 Mar 2019
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,168 0 24 Jan 2018
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 166 442 0 24 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,225 0 30 Oct 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 149 288 0 27 Apr 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 415 1,824 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 810 3,291 0 24 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 356 7,669 0 30 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014