Multi-directional Geodesic Neural Networks via Equivariant Convolution

1 October 2018

Papers citing "Multi-directional Geodesic Neural Networks via Equivariant Convolution"

23 / 23 papers shown

Title
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 58 4 0 18 Sep 2024
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors Marvin Eisenberger Aysim Toker Laura Leal-Taixé Daniel Cremers 24 5 0 06 Dec 2022
What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives Na Lei Zezeng Li Zebin Xu Ying Li X. Gu AI4CE 19 20 0 11 Nov 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching Nicolas Donati E. Corman M. Ovsjanikov 19 34 0 28 Apr 2022
Complex Functional Maps : a Conformal Link Between Tangent Bundles Nicolas Donati E. Corman Simone Melzi M. Ovsjanikov 29 26 0 17 Dec 2021
DPFM: Deep Partial Functional Maps Souhaib Attaiki Gautam Pai M. Ovsjanikov 30 57 0 19 Oct 2021
Turing approximations, toric isometric embeddings & manifold convolutions P. Suárez-Serrato 23 1 0 05 Oct 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 15 67 0 17 Jun 2021
Subdivision-Based Mesh Convolution Networks Shimin Hu Zheng-Ning Liu Meng-Hao Guo Junxiong Cai Jiahui Huang Tai-Jiang Mu Ralph Robert Martin 3DV 24 121 0 04 Jun 2021
AttWalk: Attentive Cross-Walks for Deep Mesh Analysis Ran Ben Izhak Alon Lahav A. Tal 3DV 29 10 0 23 Apr 2021
Field Convolutions for Surface CNNs Thomas W. Mitchel Vladimir G. Kim Michael Kazhdan 26 19 0 08 Apr 2021
Correspondence Learning via Linearly-invariant Embedding R. Marin Marie-Julie Rakotosaona Simone Melzi M. Ovsjanikov 3DPC 38 64 0 25 Oct 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 28 69 0 02 Jun 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 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
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning Stefan Sommer A. Bronstein 23 11 0 13 Sep 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels A. Poulenard Marie-Julie Rakotosaona Yann Ponty M. Ovsjanikov 3DPC 22 102 0 27 Jun 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 402 0 11 Feb 2019
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 22 49 0 27 Dec 2018
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 29 21 0 03 Dec 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 259 3,239 0 24 Nov 2016