ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.03916
  4. Cited By
Field Convolutions for Surface CNNs

Field Convolutions for Surface CNNs

8 April 2021
Thomas W. Mitchel
Vladimir G. Kim
Michael Kazhdan
ArXivPDFHTML

Papers citing "Field Convolutions for Surface CNNs"

13 / 13 papers shown
Title
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
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
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
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
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
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
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
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
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
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
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
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
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
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