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Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape
  Matching

Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching

11 July 2024
Dongliang Cao
Zorah Laehner
Florian Bernard
    DiffM
ArXivPDFHTML

Papers citing "Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching"

28 / 28 papers shown
Title
Partial-to-Partial Shape Matching with Geometric Consistency
Partial-to-Partial Shape Matching with Geometric Consistency
Viktoria Ehm
Maolin Gao
Paul Roetzer
Marvin Eisenberger
Daniel Cremers
Florian Bernard
3DV
48
6
0
18 Apr 2024
Non-Rigid Shape Registration via Deep Functional Maps Prior
Non-Rigid Shape Registration via Deep Functional Maps Prior
Puhua Jiang
Mingze Sun
Ruqi Huang
77
11
0
08 Nov 2023
SIGMA: Scale-Invariant Global Sparse Shape Matching
SIGMA: Scale-Invariant Global Sparse Shape Matching
Maolin Gao
Paul Roetzer
Marvin Eisenberger
Zorah Lähner
Michael Moeller
Daniel Cremers
Florian Bernard
55
4
0
16 Aug 2023
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
Dongliang Cao
Florian Bernard
3DPC
70
17
0
20 Mar 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
M. Behmanesh
Maximilian Krahn
M. Ovsjanikov
DiffM
GNN
44
9
0
05 Dec 2022
Unsupervised 3D Pose Transfer with Cross Consistency and Dual
  Reconstruction
Unsupervised 3D Pose Transfer with Cross Consistency and Dual Reconstruction
Chaoyue Song
Jiacheng Wei
Ruibo Li
Fayao Liu
Guosheng Lin
3DPC
71
22
0
18 Nov 2022
Learning Multi-resolution Functional Maps with Spectral Attention for
  Robust Shape Matching
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Lei Li
Nicolas Donati
M. Ovsjanikov
88
29
0
12 Oct 2022
Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy
  Optimization
Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization
Robin Magnet
Jing Ren
O. Sorkine-Hornung
M. Ovsjanikov
59
36
0
05 Oct 2022
Unsupervised Deep Multi-Shape Matching
Unsupervised Deep Multi-Shape Matching
Dongliang Cao
Florian Bernard
3DPC
3DV
87
32
0
20 Jul 2022
Weisfeiler-Lehman meets Gromov-Wasserstein
Weisfeiler-Lehman meets Gromov-Wasserstein
Samantha Chen
Sunhyuk Lim
Facundo Mémoli
Qingsong Wang
Yusu Wang
CoGe
59
18
0
05 Feb 2022
DPFM: Deep Partial Functional Maps
DPFM: Deep Partial Functional Maps
Souhaib Attaiki
Gautam Pai
M. Ovsjanikov
74
61
0
19 Oct 2021
Shape registration in the time of transformers
Shape registration in the time of transformers
Giovanni Trappolini
Luca Cosmo
Luca Moschella
R. Marin
Simone Melzi
Emanuele Rodolà
ViT
3DPC
MedIm
57
58
0
25 Jun 2021
Isometric Multi-Shape Matching
Isometric Multi-Shape Matching
Maolin Gao
Zorah Lähner
J. Thunberg
Daniel Cremers
Florian Bernard
78
27
0
04 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
64
204
0
01 Dec 2020
Unsupervised Dense Shape Correspondence using Heat Kernels
Unsupervised Dense Shape Correspondence using Heat Kernels
Mehmet Aygün
Zorah Lähner
Daniel Cremers
75
16
0
23 Oct 2020
Structured Regularization of Functional Map Computations
Structured Regularization of Functional Map Computations
Jing Ren
M. Panine
Peter Wonka
M. Ovsjanikov
34
43
0
30 Sep 2020
SuperGlue: Learning Feature Matching with Graph Neural Networks
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
OffRL
112
1,935
0
26 Nov 2019
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
136
706
0
28 Oct 2019
3D Morphable Face Models -- Past, Present and Future
3D Morphable Face Models -- Past, Present and Future
Bernhard Egger
W. Smith
A. Tewari
Stefanie Wuhrer
Michael Zollhoefer
...
Adam Kortylewski
S. Romdhani
Christian Theobalt
V. Blanz
T. Vetter
3DH
77
420
0
03 Sep 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
59
94
0
29 May 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
778
8,533
0
03 Jan 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
192
1,636
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
240
7,653
0
01 Oct 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
47
167
0
12 Jun 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,455
0
04 Apr 2017
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
84
385
0
23 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
350
7,655
0
30 Jun 2016
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