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Instant recovery of shape from spectrum via latent space connections
v1v2v3v4 (latest)

Instant recovery of shape from spectrum via latent space connections

International Conference on 3D Vision (3DV), 2020
14 March 2020
R. Marin
Arianna Rampini
U. Castellani
Emanuele Rodolà
M. Ovsjanikov
Simone Melzi
ArXiv (abs)PDFHTML

Papers citing "Instant recovery of shape from spectrum via latent space connections"

11 / 11 papers shown
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
Jun Liu
Jiantao Zhou
Jiandian Zeng
Jinyu Tian
Zheng Li
418
2
0
05 Jun 2024
Latent Spectral Regularization for Continual Learning
Latent Spectral Regularization for Continual LearningPattern Recognition Letters (PR), 2023
Emanuele Frascaroli
Riccardo Benaglia
Matteo Boschini
Luca Moschella
Cosimo Fiorini
Emanuele Rodolà
Simone Calderara
BDLCLL
422
11
0
09 Jan 2023
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes
SAGA: Spectral Adversarial Geometric Attack on 3D MeshesIEEE International Conference on Computer Vision (ICCV), 2022
Tomer Stolik
Itai Lang
S. Avidan
AAML
343
6
0
24 Nov 2022
Neural Human Deformation Transfer
Neural Human Deformation Transfer
J. Basset
A. Boukhayma
Stefanie Wuhrer
Franck Multon
Edmond Boyer
3DH
355
13
0
03 Sep 2021
Localized Shape Modelling with Global Coherence: An Inverse Spectral
  Approach
Localized Shape Modelling with Global Coherence: An Inverse Spectral Approach
Marco Pegoraro
Simone Melzi
U. Castellani
R. Marin
Emanuele Rodolà
474
2
0
04 Aug 2021
Shape registration in the time of transformers
Shape registration in the time of transformersNeural Information Processing Systems (NeurIPS), 2021
Giovanni Trappolini
Luca Cosmo
Luca Moschella
R. Marin
Simone Melzi
Emanuele Rodolà
ViT3DPCMedIm
314
67
0
25 Jun 2021
Universal Spectral Adversarial Attacks for Deformable Shapes
Universal Spectral Adversarial Attacks for Deformable ShapesComputer Vision and Pattern Recognition (CVPR), 2021
Arianna Rampini
Franco Pestarini
Luca Cosmo
Simone Melzi
Emanuele Rodolà
AAML
267
20
0
07 Apr 2021
Learning Spectral Unions of Partial Deformable 3D Shapes
Learning Spectral Unions of Partial Deformable 3D Shapes
Luca Moschella
Simone Melzi
Luca Cosmo
Filippo Maggioli
Or Litany
M. Ovsjanikov
Leonidas Guibas
Emanuele Rodolà
343
9
0
31 Mar 2021
Disentangling Geometric Deformation Spaces in Generative Latent Shape
  Models
Disentangling Geometric Deformation Spaces in Generative Latent Shape ModelsInternational Journal of Computer Vision (IJCV), 2021
Tristan Aumentado-Armstrong
Stavros Tsogkas
Sven J. Dickinson
Allan D. Jepson
OCLDRL
433
8
0
27 Feb 2021
Anytime 3D Object Reconstruction using Multi-modal Variational
  Autoencoder
Anytime 3D Object Reconstruction using Multi-modal Variational AutoencoderIEEE Robotics and Automation Letters (RA-L), 2021
Hyeonwoo Yu
Jean Oh
DRL
217
6
0
25 Jan 2021
A study on using image based machine learning methods to develop the
  surrogate models of stamp forming simulations
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations
Hao Zhou
Qingfeng Xu
Nan Li
AI4CE
204
21
0
30 Sep 2020
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