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GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks

GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks

11 August 2021
Yuefan Shen
Hongbo Fu
Zhongshuo Du
Xiang Chen
Evgeny Burnaev
Denis Zorin
Kun Zhou
Youyi Zheng
    AI4CE
ArXivPDFHTML

Papers citing "GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks"

6 / 6 papers shown
Title
Mesh Denoising Transformer
Mesh Denoising Transformer
Wenbo Zhao
Xianming Liu
Deming Zhai
Junjun Jiang
Xiangyang Ji
AI4CE
25
0
0
10 May 2024
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey
Honghua Chen
Mingqiang Wei
Jun Wang
AAML
AI4CE
19
7
0
02 Sep 2022
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
240
558
0
19 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
120
109
0
16 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
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
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