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HodgeNet: Learning Spectral Geometry on Triangle Meshes

HodgeNet: Learning Spectral Geometry on Triangle Meshes

26 April 2021
Dmitriy Smirnov
Justin Solomon
ArXivPDFHTML

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

44 / 44 papers shown
Title
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao
Wenzheng Chen
Tommy Xiang
Clement Fuji-Tsang
Alec Jacobson
M. McGuire
Sanja Fidler
84
107
0
03 Nov 2020
Primal-Dual Mesh Convolutional Neural Networks
Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano
Antonio Loquercio
Antoni Rosinol
Davide Scaramuzza
Luca Carlone
3DPC
AI4CE
72
92
0
23 Oct 2020
Weakly Supervised Deep Functional Map for Shape Matching
Weakly Supervised Deep Functional Map for Shape Matching
Abhishek Sharma
M. Ovsjanikov
3DPC
OOD
41
12
0
28 Sep 2020
MedMeshCNN -- Enabling MeshCNN for Medical Surface Models
MedMeshCNN -- Enabling MeshCNN for Medical Surface Models
L. Schneider
Annika Niemann
O. Beuing
B. Preim
S. Saalfeld
43
24
0
10 Sep 2020
Deep Geometric Texture Synthesis
Deep Geometric Texture Synthesis
Amir Hertz
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
GAN
3DV
85
72
0
30 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and
  Algebraic Multigrid Pooling
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
Moshe Eliasof
Eran Treister
31
25
0
07 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
109
69
0
02 Jun 2020
Neural Subdivision
Neural Subdivision
Hsueh-Ti Derek Liu
Vladimir G. Kim
Siddhartha Chaudhuri
Noam Aigerman
Alec Jacobson
AI4CE
3DV
34
83
0
04 May 2020
PointTriNet: Learned Triangulation of 3D Point Sets
PointTriNet: Learned Triangulation of 3D Point Sets
Nicholas Sharp
M. Ovsjanikov
3DPC
60
46
0
19 Apr 2020
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes
Jonas Schult
Francis Engelmann
Theodora Kontogianni
Bastian Leibe
3DPC
3DV
41
84
0
02 Apr 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape
  Correspondence
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
Nicolas Donati
Abhishek Sharma
M. Ovsjanikov
AAML
3DPC
87
155
0
31 Mar 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
134
130
0
11 Mar 2020
Surface Networks via General Covers
Surface Networks via General Covers
Niv Haim
Nimrod Segol
Heli Ben-Hamu
Haggai Maron
Y. Lipman
3DPC
41
50
0
27 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike
  Local Tangent Space Estimation
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation
Zhiyu Sun
Ethan Rooke
Jerome Charton
Yusen He
Jia Lu
Stephen Seung-Yeob Baek
50
21
0
03 Dec 2018
TextureNet: Consistent Local Parametrizations for Learning from
  High-Resolution Signals on Meshes
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
Jingwei Huang
Haotian Zhang
L. Yi
Thomas Funkhouser
Matthias Nießner
Leonidas Guibas
3DPC
3DV
47
117
0
30 Nov 2018
Isospectralization, or how to hear shape, style, and correspondence
Isospectralization, or how to hear shape, style, and correspondence
Luca Cosmo
M. Panine
Arianna Rampini
M. Ovsjanikov
M. Bronstein
Emanuele Rodolà
35
49
0
28 Nov 2018
MeshNet: Mesh Neural Network for 3D Shape Representation
MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng
Yifan Feng
Haoxuan You
Xibin Zhao
Yue Gao
3DV
3DH
49
303
0
28 Nov 2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution
Multi-directional Geodesic Neural Networks via Equivariant Convolution
A. Poulenard
M. Ovsjanikov
3DH
41
90
0
01 Oct 2018
A Simple Approach to Intrinsic Correspondence Learning on Unstructured
  3D Meshes
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes
I. Lim
A.C.A. Dielen
M. Campen
Leif Kobbelt
57
95
0
18 Sep 2018
MeshCNN: A Network with an Edge
MeshCNN: A Network with an Edge
Rana Hanocka
Amir Hertz
N. Fish
Raja Giryes
S. Fleishman
Daniel Cohen-Or
49
275
0
16 Sep 2018
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel
  Frames
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames
Yuqi Yang
Shilin Liu
Hao Pan
Yang Liu
Xin Tong
3DPC
3DV
35
17
0
15 Aug 2018
Tangent Convolutions for Dense Prediction in 3D
Tangent Convolutions for Dense Prediction in 3D
Maxim Tatarchenko
Jaesik Park
V. Koltun
Qian-Yi Zhou
3DV
3DPC
MDE
66
543
0
06 Jul 2018
The Vector Heat Method
The Vector Heat Method
Nicholas Sharp
Yousuf Soliman
Keenan Crane
18
88
0
23 May 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural
  Networks on Manifolds
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds
Stefan C. Schonsheck
Bin Dong
Rongjie Lai
37
22
0
21 May 2018
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
Matthias Fey
J. E. Lenssen
F. Weichert
H. Müller
3DPC
120
440
0
24 Nov 2017
Sparse Approximation of 3D Meshes using the Spectral Geometry of the
  Hamiltonian Operator
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator
Yoni Choukroun
Gautam Pai
Ron Kimmel
43
9
0
07 Jul 2017
Surface Networks
Surface Networks
Ilya Kostrikov
Zhongshi Jiang
Daniele Panozzo
Denis Zorin
Joan Bruna
57
100
0
30 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
145
658
0
22 May 2017
Deep Functional Maps: Structured Prediction for Dense Shape
  Correspondence
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
Or Litany
Tal Remez
Emanuele Rodolà
A. Bronstein
M. Bronstein
3DPC
107
284
0
27 Apr 2017
3D Shape Segmentation via Shape Fully Convolutional Networks
3D Shape Segmentation via Shape Fully Convolutional Networks
Pengyu Wang
Y. Gan
Panpan Shui
Fenggen Yu
Yan Zhang
Song-Le Chen
Zhengxing Sun
3DPC
44
86
0
28 Feb 2017
3D Shape Segmentation with Projective Convolutional Networks
3D Shape Segmentation with Projective Convolutional Networks
E. Kalogerakis
Melinos Averkiou
Subhransu Maji
S. Chaudhuri
3DV
3DPC
73
362
0
08 Dec 2016
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
L. Yi
Hao Su
Xingwen Guo
Leonidas Guibas
GNN
3DPC
122
467
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
368
1,817
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
560
3,264
0
24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
489
28,901
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
259
7,622
0
30 Jun 2016
Learning shape correspondence with anisotropic convolutional neural
  networks
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
M. Bronstein
3DPC
123
506
0
20 May 2016
Dense Human Body Correspondences Using Convolutional Networks
Dense Human Body Correspondences Using Convolutional Networks
Lingyu Wei
Qi-Xing Huang
Duygu Ceylan
E. Vouga
Hao Li
3DH
98
206
0
18 Nov 2015
Diffusion-Convolutional Neural Networks
Diffusion-Convolutional Neural Networks
James Atwood
Don Towsley
GNN
DiffM
158
1,248
0
06 Nov 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
134
1,585
0
16 Jun 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
124
3,210
0
05 May 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
147
4,856
0
21 Dec 2013
Vector Diffusion Maps and the Connection Laplacian
Vector Diffusion Maps and the Connection Laplacian
A. Singer
Hau-Tieng Wu
55
307
0
01 Feb 2011
Affine-invariant diffusion geometry for the analysis of deformable 3D
  shapes
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes
D. Raviv
M. Bronstein
A. Bronstein
Ron Kimmel
N. Sochen
64
40
0
29 Dec 2010
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