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Deformable Shape Completion with Graph Convolutional Autoencoders

Deformable Shape Completion with Graph Convolutional Autoencoders

1 December 2017
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
ArXivPDFHTML

Papers citing "Deformable Shape Completion with Graph Convolutional Autoencoders"

40 / 40 papers shown
Title
OT-Talk: Animating 3D Talking Head with Optimal Transportation
OT-Talk: Animating 3D Talking Head with Optimal Transportation
Xinmu Wang
Xiang Gao
Xiyun Song
Heather Yu
Zongfang Lin
Liang Peng
Xianfeng Gu
29
0
0
03 May 2025
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes
Tianchang Shen
Zheng Li
Marc Law
Matan Atzmon
Sanja Fidler
James Lucas
Jun Gao
Nicholas Sharp
3DH
29
3
0
30 Sep 2024
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
Hmrishav Bandyopadhyay
Subhadeep Koley
Ayan Das
A. Bhunia
Aneeshan Sain
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
45
13
0
07 Dec 2023
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape Generation
Fangyin Wei
Arash Vahdat
Francis Williams
Zan Gojcic
Or Litany
Sanja Fidler
Karsten Kreis
DiffM
73
486
0
12 Oct 2022
Deep Structural Causal Shape Models
Deep Structural Causal Shape Models
Rajat Rasal
Daniel Coelho De Castro
Nick Pawlowski
Ben Glocker
3DV
MedIm
36
12
0
23 Aug 2022
ShapeFormer: Transformer-based Shape Completion via Sparse
  Representation
ShapeFormer: Transformer-based Shape Completion via Sparse Representation
Xingguang Yan
Liqiang Lin
Niloy J. Mitra
Dani Lischinski
Daniel Cohen-Or
Hui Huang
ViT
73
114
0
25 Jan 2022
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
36
13
0
03 Dec 2021
Neural Fields as Learnable Kernels for 3D Reconstruction
Neural Fields as Learnable Kernels for 3D Reconstruction
Francis Williams
Zan Gojcic
S. Khamis
Denis Zorin
Joan Bruna
Sanja Fidler
Or Litany
50
66
0
26 Nov 2021
Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement
Huiwen Luo
Koki Nagano
Han-Wei Kung
Mclean Goldwhite
Qingguo Xu
Zejian Wang
Lingyu Wei
Liwen Hu
Hao Li
3DH
21
50
0
21 Jun 2021
Learning Feature Aggregation for Deep 3D Morphable Models
Learning Feature Aggregation for Deep 3D Morphable Models
Zhixiang Chen
Tae-Kyun Kim
3DPC
3DH
45
24
0
05 May 2021
ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point
  Completion
ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion
Yaqi Xia
Yan Xia
Wei Li
Rui Song
Kai Cao
Uwe Stilla
3DPC
19
86
0
19 Apr 2021
Learning Spectral Unions of Partial Deformable 3D Shapes
Learning Spectral Unions of Partial Deformable 3D Shapes
Luca Moschella
Simone Melzi
Luca Cosmo
Filippo Maggioli
Or Litany
M. Ovsjanikov
Leonidas J. Guibas
Emanuele Rodolà
24
7
0
31 Mar 2021
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Point2Skeleton: Learning Skeletal Representations from Point Clouds
Chu-Hsing Lin
Changjian Li
Yuan Liu
Nenglun Chen
Yi-King Choi
Wenping Wang
3DPC
25
49
0
01 Dec 2020
GAMesh: Guided and Augmented Meshing for Deep Point Networks
GAMesh: Guided and Augmented Meshing for Deep Point Networks
Nitin Agarwal
M. Gopi
3DPC
3DGS
168
4
0
19 Oct 2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D
  Shape Retrieval
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Rao Fu
Jie Yang
Jiawei Sun
Fang-Lue Zhang
Yu-Kun Lai
Lin Gao
3DV
3DPC
3DH
34
2
0
02 Oct 2020
Learning Graph-Convolutional Representations for Point Cloud Denoising
Learning Graph-Convolutional Representations for Point Cloud Denoising
Francesca Pistilli
Giulia Fracastoro
D. Valsesia
E. Magli
3DPC
22
76
0
06 Jul 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
33
49
0
28 Jun 2020
ShapeFlow: Learnable Deformations Among 3D Shapes
ShapeFlow: Learnable Deformations Among 3D Shapes
C. Jiang
Jingwei Huang
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
AI4CE
22
44
0
14 Jun 2020
SALD: Sign Agnostic Learning with Derivatives
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon
Y. Lipman
24
143
0
09 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
28
69
0
02 Jun 2020
PointTriNet: Learned Triangulation of 3D Point Sets
PointTriNet: Learned Triangulation of 3D Point Sets
Nicholas Sharp
M. Ovsjanikov
3DPC
53
46
0
19 Apr 2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
Jinwei Gu
Hadar Averbuch-Elor
Noah Snavely
Serge J. Belongie
3DPC
27
112
0
06 Apr 2020
LIMP: Learning Latent Shape Representations with Metric Preservation
  Priors
LIMP: Learning Latent Shape Representations with Metric Preservation Priors
Luca Cosmo
Antonio Norelli
Oshri Halimi
Ron Kimmel
Emanuele Rodolà
39
73
0
27 Mar 2020
Neural Pose Transfer by Spatially Adaptive Instance Normalization
Neural Pose Transfer by Spatially Adaptive Instance Normalization
Jiashun Wang
Chao Wen
Yanwei Fu
Haitao Lin
Tianyun Zou
Xiangyang Xue
Yinda Zhang
3DH
14
57
0
16 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
35
20
0
14 Mar 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration
  Networks (DRNs)
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Victor Villena-Martinez
Sergiu Oprea
Marcelo Saval-Calvo
J. Azorín-López
Andrés Fuster-Guilló
Robert B. Fisher
42
32
0
06 Mar 2020
Meshlet Priors for 3D Mesh Reconstruction
Meshlet Priors for 3D Mesh Reconstruction
Abhishek Badki
Orazio Gallo
Jan Kautz
P. Sen
21
45
0
06 Jan 2020
3D Shape Completion with Multi-view Consistent Inference
3D Shape Completion with Multi-view Consistent Inference
T. Hu
Zhizhong Han
Matthias Zwicker
3DPC
3DV
27
51
0
28 Nov 2019
Mesh Variational Autoencoders with Edge Contraction Pooling
Mesh Variational Autoencoders with Edge Contraction Pooling
Yu-Jie Yuan
Yu-Kun Lai
J. Yang
Hongbo Fu
Lin Gao
3DPC
31
31
0
07 Aug 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph
  Representation Learning
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
Jiwoong Park
Minsik Lee
H. Chang
Kyuewang Lee
J. Choi
SSL
43
232
0
07 Aug 2019
Disentangled Human Body Embedding Based on Deep Hierarchical Neural
  Network
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network
Boyi Jiang
Juyong Zhang
Jianfei Cai
Jianmin Zheng
3DH
AI4CE
25
37
0
14 May 2019
Convolutional Mesh Regression for Single-Image Human Shape
  Reconstruction
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
Nikos Kolotouros
Georgios Pavlakos
Kostas Daniilidis
3DH
60
523
0
08 May 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
26
161
0
08 May 2019
Deep Surface Normal Estimation with Hierarchical RGB-D Fusion
Deep Surface Normal Estimation with Hierarchical RGB-D Fusion
Jin Zeng
Yanfeng Tong
Yunmu Huang
Qiong Yan
Wenxiu Sun
J. Chen
Yongtian Wang
3DH
22
67
0
06 Apr 2019
Synthesizing facial photometries and corresponding geometries using
  generative adversarial networks
Synthesizing facial photometries and corresponding geometries using generative adversarial networks
Gil Shamai
Ron Slossberg
Ron Kimmel
GAN
3DH
15
31
0
19 Jan 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
38
3,616
0
16 Jan 2019
Survey on Emotional Body Gesture Recognition
Survey on Emotional Body Gesture Recognition
F. Noroozi
C. Corneanu
D. Kamińska
T. Sapinski
Sergio Escalera
G. Anbarjafari
CVBM
SLR
34
325
0
23 Jan 2018
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
260
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
261
3,240
0
24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
189
1,941
0
24 Oct 2016
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