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Weakly Supervised Deep Functional Map for Shape Matching

Weakly Supervised Deep Functional Map for Shape Matching

28 September 2020
Abhishek Sharma
M. Ovsjanikov
    3DPCOOD
ArXiv (abs)PDFHTMLGithub (26★)

Papers citing "Weakly Supervised Deep Functional Map for Shape Matching"

8 / 8 papers shown
Title
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity
  Priors
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Daniel Cremers
77
6
0
06 Dec 2022
Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud
Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud
Abhishek Sharma
M. Ovsjanikov
3DPC3DV
46
1
0
05 Dec 2021
Temporally-Consistent Surface Reconstruction using Metrically-Consistent
  Atlases
Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases
Jan Bednarík
Noam Aigerman
Vladimir G. Kim
S. Chaudhuri
Shaifali Parashar
Mathieu Salzmann
Pascal Fua
3DPC
52
0
0
12 Nov 2021
DPFM: Deep Partial Functional Maps
DPFM: Deep Partial Functional Maps
Souhaib Attaiki
Gautam Pai
M. Ovsjanikov
93
62
0
19 Oct 2021
Learning Canonical Embedding for Non-rigid Shape Matching
Learning Canonical Embedding for Non-rigid Shape Matching
Abhishek Sharma
M. Ovsjanikov
3DV
74
1
0
06 Oct 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One
  Go
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
Marvin Eisenberger
David Novotny
Gael Kerchenbaum
Patrick Labatut
Natalia Neverova
Daniel Cremers
Andrea Vedaldi
3DH3DPC
132
70
0
17 Jun 2021
HodgeNet: Learning Spectral Geometry on Triangle Meshes
HodgeNet: Learning Spectral Geometry on Triangle Meshes
Dmitriy Smirnov
Justin Solomon
82
26
0
26 Apr 2021
An Operator Theoretic Approach for Analyzing Sequence Neural Networks
An Operator Theoretic Approach for Analyzing Sequence Neural Networks
Ilana D Naiman
Omri Azencot
99
11
0
15 Feb 2021
1