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2006.04325
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Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
8 June 2020
Yi Zhou
Chenglei Wu
Zimo Li
Chen Cao
Yuting Ye
Jason M. Saragih
Hao Li
Yaser Sheikh
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Papers citing
"Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels"
21 / 21 papers shown
Title
Absolute Coordinates Make Motion Generation Easy
Zichong Meng
Zeyu Han
Xiaogang Peng
Yiming Xie
Huaizu Jiang
36
0
0
26 May 2025
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
Jiaxin Lu
Yongqing Liang
Huijun Han
Jiacheng Hua
Junfeng Jiang
Xin Li
Qixing Huang
3DV
58
1
0
18 Oct 2024
Grid-GCN for Fast and Scalable Point Cloud Learning
Qiangeng Xu
Xudong Sun
Cho-Ying Wu
Panqu Wang
Ulrich Neumann
3DPC
GNN
45
244
0
06 Dec 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
Stefanos Zafeiriou
MedIm
3DH
26
165
0
08 May 2019
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
83
4,289
0
06 Mar 2019
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
30
117
0
30 Nov 2018
Generating 3D faces using Convolutional Mesh Autoencoders
Anurag Ranjan
Timo Bolkart
Soubhik Sanyal
Michael J. Black
CVBM
3DH
32
572
0
26 Jul 2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
Pedro Hermosilla
Tobias Ritschel
Pere-Pau Vázquez
À. Vinacua
Timo Ropinski
3DPC
51
260
0
05 Jun 2018
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
31
223
0
01 Dec 2017
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
Matthias Fey
J. E. Lenssen
F. Weichert
H. Müller
3DPC
43
438
0
24 Nov 2017
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
190
19,902
0
30 Oct 2017
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
A. Tewari
Michael Zollhöfer
Hyeongwoo Kim
Pablo Garrido
Florian Bernard
P. Pérez
Christian Theobalt
3DH
CVBM
54
550
0
30 Mar 2017
SurfNet: Generating 3D shape surfaces using deep residual networks
Ayan Sinha
Asim Unmesh
Qi-Xing Huang
K. Ramani
23
179
0
12 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
290
1,813
0
25 Nov 2016
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
68
3,541
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
253
28,795
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
161
7,622
0
30 Jun 2016
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
M. Bronstein
3DPC
47
506
0
20 May 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
135
5,502
0
23 Nov 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
99
149,474
0
22 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
28
4,856
0
21 Dec 2013
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