Continuous Geodesic Convolutions for Learning on 3D Shapes

6 February 2020

Papers citing "Continuous Geodesic Convolutions for Learning on 3D Shapes"

5 / 5 papers shown

Title
SieveNet: Selecting Point-Based Features for Mesh Networks Shengchao Yuan Yishun Dou Rui Shi Bingbing Ni Zhong Zheng 3DPC 16 0 0 24 Aug 2023
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence Mohammad Farazi Wenjie Zhu Zhangsihao Yang Yalin Wang 3DPC 19 3 0 17 Oct 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 14 41 0 14 Mar 2022
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