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Learning elementary structures for 3D shape generation and matching
v1v2 (latest)

Learning elementary structures for 3D shape generation and matching

Neural Information Processing Systems (NeurIPS), 2019
13 August 2019
Theo Deprelle
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
    3DPC3DV
ArXiv (abs)PDFHTML

Papers citing "Learning elementary structures for 3D shape generation and matching"

32 / 132 papers shown
Correspondence Learning via Linearly-invariant Embedding
Correspondence Learning via Linearly-invariant EmbeddingNeural Information Processing Systems (NeurIPS), 2020
R. Marin
Marie-Julie Rakotosaona
Simone Melzi
M. Ovsjanikov
3DPC
191
72
0
25 Oct 2020
LoopReg: Self-supervised Learning of Implicit Surface Correspondences,
  Pose and Shape for 3D Human Mesh Registration
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh RegistrationNeural Information Processing Systems (NeurIPS), 2020
Bharat Lal Bhatnagar
C. Sminchisescu
Christian Theobalt
Gerard Pons-Moll
3DH
425
146
0
23 Oct 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape
  Correspondence
Learning Implicit Functions for Topology-Varying Dense 3D Shape CorrespondenceNeural Information Processing Systems (NeurIPS), 2020
Feng Liu
Xiaoming Liu
3DPC
321
37
0
23 Oct 2020
Neural Star Domain as Primitive Representation
Neural Star Domain as Primitive Representation
Yuki Kawana
Yusuke Mukuta
Tatsuya Harada
3DV
192
27
0
21 Oct 2020
Learning to Reconstruct and Segment 3D Objects
Learning to Reconstruct and Segment 3D Objects
Bo Yang
3DPC
207
1
0
19 Oct 2020
Better Patch Stitching for Parametric Surface Reconstruction
Better Patch Stitching for Parametric Surface Reconstruction
Zhantao Deng
Jan Bednarík
Mathieu Salzmann
Pascal Fua
3DV
189
28
0
14 Oct 2020
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
Jiahui Lei
Srinath Sridhar
Paul Guerrero
Minhyuk Sung
Niloy Mitra
Leonidas Guibas
3DV
183
31
0
18 Aug 2020
Learning Gradient Fields for Shape Generation
Learning Gradient Fields for Shape Generation
Ruojin Cai
Guandao Yang
Hadar Averbuch-Elor
Jinwei Gu
Serge J. Belongie
Noah Snavely
B. Hariharan
3DPC
376
322
0
14 Aug 2020
PLACE: Proximity Learning of Articulation and Contact in 3D Environments
PLACE: Proximity Learning of Articulation and Contact in 3D Environments
Siwei Zhang
Yan Zhang
Qianli Ma
Michael J. Black
Siyu Tang
3DH
242
11
0
12 Aug 2020
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape
  Representations
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
E. Tretschk
A. Tewari
Vladislav Golyanik
Michael Zollhöfer
Carsten Stoll
Christian Theobalt
3DPC3DH3DV
231
114
0
04 Aug 2020
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point
  cloud shapes
Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapesEuropean Conference on Computer Vision (ECCV), 2020
Lei Yang
Wenxi Liu
Zhiming Cui
Nenglun Chen
Wenping Wang
3DPC
116
16
0
19 Jul 2020
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio GuidanceEuropean Conference on Computer Vision (ECCV), 2020
Minghua Liu
Xiaoshuai Zhang
Hao Su
3DPC
264
55
0
17 Jul 2020
3D Shape Reconstruction from Vision and Touch
3D Shape Reconstruction from Vision and TouchNeural Information Processing Systems (NeurIPS), 2020
Edward James Smith
Roberto Calandra
Adriana Romero
Georgia Gkioxari
David Meger
Jitendra Malik
M. Drozdzal
324
82
0
07 Jul 2020
Joint Hand-object 3D Reconstruction from a Single Image with
  Cross-branch Feature Fusion
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
Yujin Chen
Zhigang Tu
Di Kang
Ruizhi Chen
Linchao Bao
Zhengyou Zhang
Junsong Yuan
3DH
272
74
0
28 Jun 2020
Meta Deformation Network: Meta Functionals for Shape Correspondence
Meta Deformation Network: Meta Functionals for Shape Correspondence
Daohan Lu
Yi Fang
3DPC
96
0
0
26 Jun 2020
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks
Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Francis Williams
Matthew Trager
Joan Bruna
Denis Zorin
255
76
0
24 Jun 2020
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly
  Representations
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations
Jiahao Pang
Duanshun Li
Dong Tian
3DPC
344
46
0
17 Jun 2020
ShapeFlow: Learnable Deformations Among 3D Shapes
ShapeFlow: Learnable Deformations Among 3D Shapes
C. Jiang
Jingwei Huang
Andrea Tagliasacchi
Leonidas Guibas
3DPCAI4CE
286
45
0
14 Jun 2020
SALD: Sign Agnostic Learning with Derivatives
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon
Y. Lipman
348
161
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
96
2
0
27 May 2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
DualSDF: Semantic Shape Manipulation using a Two-Level RepresentationComputer Vision and Pattern Recognition (CVPR), 2020
Jinwei Gu
Hadar Averbuch-Elor
Noah Snavely
Serge J. Belongie
3DPC
177
127
0
06 Apr 2020
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from
  a Single RGB Image
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB ImageComputer Vision and Pattern Recognition (CVPR), 2020
Despoina Paschalidou
Luc van Gool
Andreas Geiger
3DVOCL
235
124
0
02 Apr 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape
  Correspondence
Deep Geometric Functional Maps: Robust Feature Learning for Shape CorrespondenceComputer Vision and Pattern Recognition (CVPR), 2020
Nicolas Donati
Abhishek Sharma
M. Ovsjanikov
AAML3DPC
351
183
0
31 Mar 2020
Unsupervised Learning of Intrinsic Structural Representation Points
Unsupervised Learning of Intrinsic Structural Representation PointsComputer Vision and Pattern Recognition (CVPR), 2020
Nenglun Chen
Lingjie Liu
Zhiming Cui
Runnan Chen
Duygu Ceylan
Changhe Tu
Wenping Wang
3DPC
248
63
0
03 Mar 2020
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction
  for Indoor Scenes from a Single Image
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single ImageComputer Vision and Pattern Recognition (CVPR), 2020
Y. Nie
Xiaoguang Han
Shihui Guo
Yujian Zheng
Jian Chang
Jianjun Zhang
3DV
307
237
0
27 Feb 2020
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning ShapesInternational Conference on Machine Learning (ICML), 2020
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
425
970
0
24 Feb 2020
Neural Shape Parsers for Constructive Solid Geometry
Neural Shape Parsers for Constructive Solid GeometryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Gopal Sharma
Rishabh Goyal
Difan Liu
E. Kalogerakis
Subhransu Maji
3DPC3DV
129
33
0
22 Dec 2019
Generating 3D People in Scenes without People
Generating 3D People in Scenes without PeopleComputer Vision and Pattern Recognition (CVPR), 2019
Yan Zhang
Mohamed Hassan
Heiko Neumann
Michael J. Black
Siyu Tang
3DH
315
168
0
05 Dec 2019
Shape Reconstruction by Learning Differentiable Surface Representations
Shape Reconstruction by Learning Differentiable Surface RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019
Jan Bednarík
Shaifali Parashar
Erhan Gundogdu
Mathieu Salzmann
Pascal Fua
3DV
216
63
0
25 Nov 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data
SAL: Sign Agnostic Learning of Shapes from Raw DataComputer Vision and Pattern Recognition (CVPR), 2019
Matan Atzmon
Y. Lipman
3DPCFedML
485
574
0
23 Nov 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
134
12
0
18 Nov 2019
A Closest Point Proposal for MCMC-based Probabilistic Surface
  Registration
A Closest Point Proposal for MCMC-based Probabilistic Surface RegistrationEuropean Conference on Computer Vision (ECCV), 2019
Dennis Madsen
Andreas Morel-Forster
Patrick Kahr
Dana Rahbani
T. Vetter
M. Lüthi
3DPC
109
17
0
02 Jul 2019
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