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Surface Networks

Surface Networks

30 May 2017
Ilya Kostrikov
Zhongshi Jiang
Daniele Panozzo
Denis Zorin
Joan Bruna
ArXivPDFHTML

Papers citing "Surface Networks"

22 / 22 papers shown
Title
Frame Averaging for Equivariant Shape Space Learning
Frame Averaging for Equivariant Shape Space Learning
Matan Atzmon
Koki Nagano
Sanja Fidler
S. Khamis
Y. Lipman
FedML
33
13
0
03 Dec 2021
Primal-Dual Mesh Convolutional Neural Networks
Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano
Antonio Loquercio
Antoni Rosinol
Davide Scaramuzza
Luca Carlone
3DPC
AI4CE
53
89
0
23 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D
  Dense Shape Correspondence
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence
Hao Huang
Lingjing Wang
Xiang Li
Yi Fang
3DPC
23
0
0
21 Oct 2020
A curvature and density-based generative representation of shapes
A curvature and density-based generative representation of shapes
Zi Ye
Nobuyuki Umetani
Takeo Igarashi
T. Hoffmann
25
5
0
05 Sep 2020
Deep Geometric Texture Synthesis
Deep Geometric Texture Synthesis
Amir Hertz
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
GAN
3DV
22
69
0
30 Jun 2020
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
Xianzhi Li
Ruihui Li
Lei Zhu
Chi-Wing Fu
Pheng-Ann Heng
AI4CE
25
49
0
28 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
25
69
0
02 Jun 2020
PointGMM: a Neural GMM Network for Point Clouds
PointGMM: a Neural GMM Network for Point Clouds
Amir Hertz
Rana Hanocka
Raja Giryes
Daniel Cohen-Or
3DPC
25
65
0
30 Mar 2020
Instant recovery of shape from spectrum via latent space connections
Instant recovery of shape from spectrum via latent space connections
R. Marin
Arianna Rampini
U. Castellani
Emanuele Rodolà
M. Ovsjanikov
Simone Melzi
27
20
0
14 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
102
127
0
11 Mar 2020
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Shunwang Gong
Lei Chen
M. Bronstein
S. Zafeiriou
3DH
13
145
0
13 Nov 2019
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
30
126
0
30 Jul 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
S. Zafeiriou
MedIm
3DH
23
161
0
08 May 2019
Surface Networks via General Covers
Surface Networks via General Covers
Niv Haim
Nimrod Segol
Heli Ben-Hamu
Haggai Maron
Y. Lipman
3DPC
22
49
0
27 Dec 2018
Diffusion Scattering Transforms on Graphs
Diffusion Scattering Transforms on Graphs
Fernando Gama
Alejandro Ribeiro
Joan Bruna
GNN
42
100
0
22 Jun 2018
Poly-Spline Finite Element Method
Poly-Spline Finite Element Method
T. Schneider
Jérémie Dumas
Xifeng Gao
Mario Botsch
Daniele Panozzo
Denis Zorin
AI4CE
28
40
0
09 Apr 2018
Deformable Shape Completion with Graph Convolutional Autoencoders
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
23
222
0
01 Dec 2017
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
241
438
0
01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 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
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
259
3,239
0
24 Nov 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
236
2,547
0
25 Jan 2016
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