Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2104.03916
Cited By
Field Convolutions for Surface CNNs
8 April 2021
Thomas W. Mitchel
Vladimir G. Kim
Michael Kazhdan
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Field Convolutions for Surface CNNs"
13 / 13 papers shown
Title
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Simon Weber
Thomas Dagès
Maolin Gao
Daniel Cremers
AI4CE
24
6
0
05 Apr 2024
Single Mesh Diffusion Models with Field Latents for Texture Generation
Thomas W. Mitchel
Carlos Esteves
A. Makadia
DiffM
AI4CE
35
8
0
14 Dec 2023
Neural Progressive Meshes
Yun-Chun Chen
Vladimir G. Kim
Noam Aigerman
Alec Jacobson
3DGS
14
5
0
10 Aug 2023
VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data
Emmanuel Hartman
E. Pierson
32
1
0
07 Jul 2023
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures
T. Besnier
Sylvain Arguillere
E. Pierson
Mohamed Daoudi
3DH
21
8
0
27 Jun 2023
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence
Lei Li
Souhaib Attaiki
M. Ovsjanikov
19
8
0
16 Sep 2022
Möbius Convolutions for Spherical CNNs
Thomas W. Mitchel
Noam Aigerman
Vladimir G. Kim
Michael Kazhdan
25
11
0
28 Jan 2022
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
R. Wiersma
Ahmad Nasikun
E. Eisemann
Klaus Hildebrandt
3DPC
19
16
0
16 Nov 2021
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
19
197
0
01 Dec 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
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
129
325
0
13 Jun 2018
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
14,109
0
02 Dec 2016
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
1