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Wormhole Loss for Partial Shape Matching

Wormhole Loss for Partial Shape Matching

30 October 2024
Amit Bracha
Thomas Dagès
Ron Kimmel
ArXiv (abs)PDFHTML

Papers citing "Wormhole Loss for Partial Shape Matching"

11 / 11 papers shown
Title
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès
Simon Weber
Ya-Wei Eileen Lin
Ronen Talmon
Daniel Cremers
M. Lindenbaum
A. Bruckstein
Ron Kimmel
209
0
0
23 Mar 2025
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
55
6
0
18 Apr 2024
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Simon Weber
Thomas Dagès
Maolin Gao
Daniel Cremers
AI4CE
55
6
0
05 Apr 2024
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid
  Shape Correspondence
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence
Lei Li
Souhaib Attaiki
M. Ovsjanikov
63
9
0
16 Sep 2022
DPFM: Deep Partial Functional Maps
DPFM: Deep Partial Functional Maps
Souhaib Attaiki
Gautam Pai
M. Ovsjanikov
83
62
0
19 Oct 2021
Unsupervised Scale-Invariant Multispectral Shape Matching
Unsupervised Scale-Invariant Multispectral Shape Matching
Idan Pazi
Dvir Ginzburg
D. Raviv
34
3
0
19 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
76
205
0
01 Dec 2020
Correspondence Learning via Linearly-invariant Embedding
Correspondence Learning via Linearly-invariant Embedding
R. Marin
Marie-Julie Rakotosaona
Simone Melzi
M. Ovsjanikov
3DPC
82
66
0
25 Oct 2020
Continuous and Orientation-preserving Correspondences via Functional
  Maps
Continuous and Orientation-preserving Correspondences via Functional Maps
Jing Ren
A. Poulenard
Peter Wonka
M. Ovsjanikov
72
168
0
12 Jun 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
202
9,479
0
09 Feb 2018
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
350
8,179
0
13 Aug 2016
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