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3D-CODED : 3D Correspondences by Deep Deformation

3D-CODED : 3D Correspondences by Deep Deformation

13 June 2018
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
    3DPC
    3DV
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Papers citing "3D-CODED : 3D Correspondences by Deep Deformation"

41 / 191 papers shown
Title
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
Minghua Liu
Xiaoshuai Zhang
Hao Su
3DPC
25
50
0
17 Jul 2020
3D Shape Reconstruction from Vision and Touch
3D Shape Reconstruction from Vision and Touch
Edward James Smith
Roberto Calandra
Adriana Romero
Georgia Gkioxari
D. Meger
Jitendra Malik
M. Drozdzal
16
71
0
07 Jul 2020
Meta Deformation Network: Meta Functionals for Shape Correspondence
Meta Deformation Network: Meta Functionals for Shape Correspondence
Daohan Lu
Yi Fang
3DPC
6
0
0
26 Jun 2020
DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous
  Flow
DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow
Shuaihang Yuan
Xiang Li
Yi Fang
3DPC
28
1
0
24 Jun 2020
SALD: Sign Agnostic Learning with Derivatives
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon
Y. Lipman
24
143
0
09 Jun 2020
Permutation Matters: Anisotropic Convolutional Layer for Learning on
  Point Clouds
Permutation Matters: Anisotropic Convolutional Layer for Learning on Point Clouds
Zhongpai Gao
Guangtao Zhai
Junchi Yan
Xiaokang Yang
3DPC
21
2
0
27 May 2020
MeshODE: A Robust and Scalable Framework for Mesh Deformation
MeshODE: A Robust and Scalable Framework for Mesh Deformation
Jingwei Huang
C. Jiang
Baiqiang Leng
Bin Wang
Leonidas J. Guibas
11
7
0
23 May 2020
Neural Subdivision
Neural Subdivision
Hsueh-Ti Derek Liu
Vladimir G. Kim
Siddhartha Chaudhuri
Noam Aigerman
Alec Jacobson
AI4CE
3DV
6
80
0
04 May 2020
Learning Local Neighboring Structure for Robust 3D Shape Representation
Learning Local Neighboring Structure for Robust 3D Shape Representation
Zhongpai Gao
Junchi Yan
Guangtao Zhai
Juyong Zhang
Yiyan Yang
Xiaokang Yang
3DV
8
16
0
21 Apr 2020
Semantic Correspondence via 2D-3D-2D Cycle
Semantic Correspondence via 2D-3D-2D Cycle
Yang You
Chengkun Li
Yujing Lou
Zhoujun Cheng
Lizhuang Ma
Cewu Lu
Weiming Wang
3DPC
6
6
0
20 Apr 2020
Hamiltonian Dynamics for Real-World Shape Interpolation
Hamiltonian Dynamics for Real-World Shape Interpolation
Marvin Eisenberger
Daniel Cremers
6
14
0
10 Apr 2020
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
Marie-Julie Rakotosaona
M. Ovsjanikov
3DPC
10
14
0
03 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
24
154
0
31 Mar 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
34
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
STD-Net: Structure-preserving and Topology-adaptive Deformation Network
  for 3D Reconstruction from a Single Image
STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image
Aihua Mao
Canglan Dai
Lin Gao
Ying He
Yong-jin Liu
3DV
3DPC
11
2
0
07 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
Human Correspondence Consensus for 3D Object Semantic Understanding
Human Correspondence Consensus for 3D Object Semantic Understanding
Yujing Lou
Yang You
Chengkun Li
Zhoujun Cheng
Liangwei Li
Lizhuang Ma
Weiming Wang
Cewu Lu
3DPC
3DH
3DV
22
2
0
29 Dec 2019
Neural Cages for Detail-Preserving 3D Deformations
Neural Cages for Detail-Preserving 3D Deformations
Yifan Wang
Noam Aigerman
Vladimir G. Kim
S. Chaudhuri
O. Sorkine-Hornung
3DH
24
138
0
13 Dec 2019
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised
  Data
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
Aljaz Bozic
Michael Zollhöfer
Christian Theobalt
Matthias Nießner
3DH
3DV
11
95
0
09 Dec 2019
Getting Topology and Point Cloud Generation to Mesh
Getting Topology and Point Cloud Generation to Mesh
Austin Dill
Chun-Liang Li
Songwei Ge
Eunsu Kang
3DPC
19
3
0
08 Dec 2019
Generating 3D People in Scenes without People
Generating 3D People in Scenes without People
Yan Zhang
Mohamed Hassan
Heiko Neumann
Michael J. Black
Siyu Tang
3DH
25
149
0
05 Dec 2019
Cyclic Functional Mapping: Self-supervised correspondence between
  non-isometric deformable shapes
Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes
Dvir Ginzburg
D. Raviv
3DPC
17
45
0
03 Dec 2019
Towards Robust RGB-D Human Mesh Recovery
Towards Robust RGB-D Human Mesh Recovery
Ren Li
Changjiang Cai
G. Georgakis
Srikrishna Karanam
Terrence Chen
Ziyan Wu
3DH
16
11
0
18 Nov 2019
Efficient Learning on Point Clouds with Basis Point Sets
Efficient Learning on Point Clouds with Basis Point Sets
Sergey Prokudin
Christoph Lassner
Javier Romero
3DPC
18
117
0
24 Aug 2019
Geometric Disentanglement for Generative Latent Shape Models
Geometric Disentanglement for Generative Latent Shape Models
Tristan Aumentado-Armstrong
Stavros Tsogkas
Allan D. Jepson
Sven J. Dickinson
DRL
16
54
0
18 Aug 2019
Learning elementary structures for 3D shape generation and matching
Learning elementary structures for 3D shape generation and matching
Theo Deprelle
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
18
187
0
13 Aug 2019
Unsupervised cycle-consistent deformation for shape matching
Unsupervised cycle-consistent deformation for shape matching
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
14
42
0
06 Jul 2019
A Closest Point Proposal for MCMC-based Probabilistic Surface
  Registration
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration
Dennis Madsen
Andreas Morel-Forster
Patrick Kahr
Dana Rahbani
T. Vetter
M. Lüthi
3DPC
15
14
0
02 Jul 2019
Smooth Shells: Multi-Scale Shape Registration with Functional Maps
Smooth Shells: Multi-Scale Shape Registration with Functional Maps
Marvin Eisenberger
Zorah Lähner
Daniel Cremers
14
92
0
29 May 2019
OperatorNet: Recovering 3D Shapes From Difference Operators
OperatorNet: Recovering 3D Shapes From Difference Operators
Ruqi Huang
Marie-Julie Rakotosaona
Panos Achlioptas
Leonidas J. Guibas
M. Ovsjanikov
11
20
0
24 Apr 2019
LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point
  Clouds
LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
Chun-Liang Li
Tomas Simon
Jason M. Saragih
Barnabás Póczós
Yaser Sheikh
3DPC
17
40
0
22 Apr 2019
Learning joint reconstruction of hands and manipulated objects
Learning joint reconstruction of hands and manipulated objects
Yana Hasson
Gül Varol
Dimitrios Tzionas
Igor Kalevatykh
Michael J. Black
Ivan Laptev
Cordelia Schmid
3DH
11
523
0
11 Apr 2019
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
Chen-Hsuan Lin
Oliver Wang
Bryan C. Russell
Eli Shechtman
Vladimir G. Kim
Matthew Fisher
Simon Lucey
18
66
0
20 Mar 2019
3DN: 3D Deformation Network
3DN: 3D Deformation Network
Weiyue Wang
Duygu Ceylan
R. Měch
Ulrich Neumann
3DPC
27
126
0
08 Mar 2019
3D Face Modeling From Diverse Raw Scan Data
3D Face Modeling From Diverse Raw Scan Data
Feng Liu
Luan Tran
Xiaoming Liu
3DH
3DV
CVBM
39
50
0
13 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward James Smith
Scott Fujimoto
Adriana Romero
D. Meger
16
90
0
31 Jan 2019
Self-supervised Learning of Dense Shape Correspondence
Self-supervised Learning of Dense Shape Correspondence
Oshri Halimi
Or Litany
Emanuele Rodolà
A. Bronstein
Ron Kimmel
3DPC
20
23
0
06 Dec 2018
Geometric Median Shapes
Geometric Median Shapes
Alexandre Cunha
8
0
0
29 Oct 2018
A Summary of the 4th International Workshop on Recovering 6D Object Pose
A Summary of the 4th International Workshop on Recovering 6D Object Pose
Tomás Hodan
R. Kouskouridas
Tae-Kyun Kim
Federico Tombari
Kostas Bekris
...
C. Steger
Frank Michel
Caner Sahin
Carsten Rother
Jirí Matas
3DH
14
12
0
09 Oct 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
251
1,811
0
25 Nov 2016
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