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DPC: Unsupervised Deep Point Correspondence via Cross and Self
  Construction

DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction

16 October 2021
Itai Lang
Dvir Ginzburg
S. Avidan
D. Raviv
    3DPC
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Papers citing "DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction"

25 / 25 papers shown
Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev
Zorah Lähner
Vladislav Golyanik
DiffM
114
1
0
03 Mar 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
Krithika S. Iyer
Mokshagna Sai Teja Karanam
Shireen Y. Elhabian
140
0
0
11 Feb 2025
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
143
68
0
31 Dec 2020
Correspondence Learning via Linearly-invariant Embedding
Correspondence Learning via Linearly-invariant Embedding
R. Marin
Marie-Julie Rakotosaona
Simone Melzi
M. Ovsjanikov
3DPC
66
65
0
25 Oct 2020
SampleNet: Differentiable Point Cloud Sampling
SampleNet: Differentiable Point Cloud Sampling
Itai Lang
Asaf Manor
S. Avidan
3DPC
36
166
0
08 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
53
45
0
03 Dec 2019
PointPWC-Net: A Coarse-to-Fine Network for Supervised and
  Self-Supervised Scene Flow Estimation on 3D Point Clouds
PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds
Wenxuan Wu
Zhiyuan Wang
Zhuwen Li
Wei Liu
Fuxin Li
3DPC
56
78
0
27 Nov 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang
Justin Solomon
SSL
3DPC
117
385
0
27 Oct 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
58
187
0
13 Aug 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
151
2,535
0
18 Apr 2019
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
Simone Melzi
Jing Ren
Emanuele Rodolà
Abhishek Sharma
Peter Wonka
M. Ovsjanikov
41
83
0
16 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
216
4,334
0
06 Mar 2019
Image Super-Resolution by Neural Texture Transfer
Image Super-Resolution by Neural Texture Transfer
Zhifei Zhang
Zhaowen Wang
Zhe Lin
Hairong Qi
SupR
51
277
0
03 Mar 2019
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
114
1,560
0
17 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
212
1,685
0
14 Oct 2018
FARM: Functional Automatic Registration Method for 3D Human Bodies
FARM: Functional Automatic Registration Method for 3D Human Bodies
R. Marin
Simone Melzi
Emanuele Rodolà
U. Castellani
3DH
18
73
0
27 Jul 2018
Continuous and Orientation-preserving Correspondences via Functional
  Maps
Continuous and Orientation-preserving Correspondences via Functional Maps
Jing Ren
A. Poulenard
Peter Wonka
M. Ovsjanikov
40
166
0
12 Jun 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
255
6,132
0
24 Jan 2018
End-to-end Recovery of Human Shape and Pose
End-to-end Recovery of Human Shape and Pose
Angjoo Kanazawa
Michael J. Black
David Jacobs
Jitendra Malik
3DH
200
1,791
0
18 Dec 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
467
14,302
0
02 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
410
1,819
0
25 Nov 2016
3D Menagerie: Modeling the 3D shape and pose of animals
3D Menagerie: Modeling the 3D shape and pose of animals
Silvia Zuffi
Angjoo Kanazawa
David Jacobs
Michael J. Black
3DH
79
385
0
23 Nov 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
151
5,522
0
09 Dec 2015
Signal Recovery on Graphs: Variation Minimization
Signal Recovery on Graphs: Variation Minimization
Siheng Chen
A. Sandryhaila
José M. F. Moura
J. Kovacevic
39
270
0
26 Nov 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
205
4,872
0
21 Dec 2013
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