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Deep Shells: Unsupervised Shape Correspondence with Optimal Transport

Deep Shells: Unsupervised Shape Correspondence with Optimal Transport

28 October 2020
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Daniel Cremers
    OT
    3DPC
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Papers citing "Deep Shells: Unsupervised Shape Correspondence with Optimal Transport"

21 / 21 papers shown
Title
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image
  Morphing and Flow Estimation
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation
Mingze Sun
Chen Guo
Puhua Jiang
Shiwei Mao
Yurun Chen
Ruqi Huang
46
4
0
18 Sep 2024
Memory-Scalable and Simplified Functional Map Learning
Memory-Scalable and Simplified Functional Map Learning
Robin Magnet
M. Ovsjanikov
27
2
0
30 Mar 2024
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Lennart Bastian
Yizheng Xie
Nassir Navab
Zorah Lähner
28
4
0
06 Dec 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior
Non-Rigid Shape Registration via Deep Functional Maps Prior
Puhua Jiang
Mingze Sun
Ruqi Huang
29
10
0
08 Nov 2023
Partial Transport for Point-Cloud Registration
Partial Transport for Point-Cloud Registration
Yikun Bai
Huy Tran
S. Damelin
Soheil Kolouri
3DPC
OT
32
1
0
27 Sep 2023
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric
  Measures
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures
T. Besnier
Sylvain Arguillere
E. Pierson
Mohamed Daoudi
3DH
16
8
0
27 Jun 2023
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
11
5
0
06 Dec 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape
  Correspondence
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
Mohammad Farazi
Wenjie Zhu
Zhangsihao Yang
Yalin Wang
3DPC
26
3
0
17 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping
A Simple Strategy to Provable Invariance via Orbit Mapping
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML
3DPC
18
3
0
24 Sep 2022
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
19
8
0
16 Sep 2022
Unsupervised Deep Multi-Shape Matching
Unsupervised Deep Multi-Shape Matching
Dongliang Cao
Florian Bernard
3DPC
3DV
11
30
0
20 Jul 2022
Garment Avatars: Realistic Cloth Driving using Pattern Registration
Garment Avatars: Realistic Cloth Driving using Pattern Registration
Oshri Halimi
F. Prada
Tuur Stuyck
Donglai Xiang
Timur M. Bagautdinov
He Wen
Ron Kimmel
Takaaki Shiratori
Chenglei Wu
Yaser Sheikh
3DH
23
7
0
07 Jun 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object
  Manipulation
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Bokui Shen
Zhenyu Jiang
Chris Choy
Leonidas J. Guibas
Silvio Savarese
Anima Anandkumar
Yuke Zhu
AI4CE
14
41
0
14 Mar 2022
Smoothness and effective regularizations in learned embeddings for shape
  matching
Smoothness and effective regularizations in learned embeddings for shape matching
R. Marin
Souhaib Attaiki
Simone Melzi
Emanuele Rodolà
M. Ovsjanikov
14
1
0
14 Dec 2021
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Amir Hertz
Or Perel
Raja Giryes
O. Sorkine-Hornung
Daniel Cohen-Or
3DH
AI4CE
14
4
0
11 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
30
56
0
25 Jun 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
3DH
3DPC
13
67
0
17 Jun 2021
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for
  LiDAR SLAM
LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM
Daniele Cattaneo
Matteo Vaghi
Abhinav Valada
3DPC
24
158
0
08 Mar 2021
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
115
325
0
13 Jun 2018
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
251
1,811
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
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