ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.12283
  4. Cited By
LIMP: Learning Latent Shape Representations with Metric Preservation
  Priors

LIMP: Learning Latent Shape Representations with Metric Preservation Priors

27 March 2020
Luca Cosmo
Antonio Norelli
Oshri Halimi
Ron Kimmel
Emanuele Rodolà
ArXivPDFHTML

Papers citing "LIMP: Learning Latent Shape Representations with Metric Preservation Priors"

15 / 15 papers shown
Title
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
M. R. Uddin
Min Xu
51
0
0
27 May 2024
Basis restricted elastic shape analysis on the space of unregistered
  surfaces
Basis restricted elastic shape analysis on the space of unregistered surfaces
Emmanuel Hartman
E. Pierson
Martin Bauer
Mohamed Daoudi
N. Charon
23
4
0
07 Nov 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
21
8
0
27 Jun 2023
3inGAN: Learning a 3D Generative Model from Images of a Self-similar
  Scene
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
Animesh Karnewar
Oliver Wang
Tobias Ritschel
Niloy Mitra
30
12
0
27 Nov 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
Elastic shape analysis of surfaces with second-order Sobolev metrics: a
  comprehensive numerical framework
Elastic shape analysis of surfaces with second-order Sobolev metrics: a comprehensive numerical framework
Emmanuel Hartman
Yashil Sukurdeep
E. Klassen
N. Charon
Martin Bauer
30
33
0
08 Apr 2022
Intuitive Shape Editing in Latent Space
Intuitive Shape Editing in Latent Space
Tim Elsner
Moritz Ibing
Victor Czech
Julius Nehring-Wirxel
Leif Kobbelt
13
7
0
24 Nov 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
37
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
15
67
0
17 Jun 2021
A structured latent space for human body motion generation
A structured latent space for human body motion generation
Mathieu Marsot
Stefanie Wuhrer
Jean-Sébastien Franco
Stephane Durocher
3DH
21
8
0
07 Jun 2021
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
Jan Bednarík
Vladimir G. Kim
S. Chaudhuri
Shaifali Parashar
Mathieu Salzmann
Pascal Fua
Noam Aigerman
18
8
0
14 Apr 2021
Learning disentangled representations via product manifold projection
Learning disentangled representations via product manifold projection
Marco Fumero
Luca Cosmo
Simone Melzi
Emanuele Rodolà
CoGe
DRL
16
22
0
02 Mar 2021
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
Mattia Segu
Margarita Grinvald
Roland Siegwart
Federico Tombari
3DPC
19
21
0
26 Nov 2020
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
123
325
0
13 Jun 2018
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
177
1,940
0
24 Oct 2016
1