HodgeNet: Learning Spectral Geometry on Triangle Meshes

26 April 2021

Papers citing "HodgeNet: Learning Spectral Geometry on Triangle Meshes"

6 / 6 papers shown

Title
Laplacian2Mesh: Laplacian-Based Mesh Understanding Qiujie Dong Zixiong Wang Manyi Li Junjie Gao Shuangmin Chen Zhenyu Shu Shiqing Xin Changhe Tu Wenping Wang 14 25 0 01 Feb 2022
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 48 89 0 23 Oct 2020
PointTriNet: Learned Triangulation of 3D Point Sets Nicholas Sharp M. Ovsjanikov 3DPC 45 46 0 19 Apr 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 100 127 0 11 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016