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Learning Pose Image Manifolds Using Geometry-Preserving GANs and
  Elasticae

Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae

17 May 2023
Shenyuan Liang
Pavan Turaga
Anuj Srivastava
ArXivPDFHTML

Papers citing "Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae"

7 / 7 papers shown
Title
Few-View Object Reconstruction with Unknown Categories and Camera Poses
Few-View Object Reconstruction with Unknown Categories and Camera Poses
Hanwen Jiang
Zhenyu Jiang
Kristen Grauman
Yuke Zhu
80
42
0
08 Dec 2022
A Geometric Perspective on Variational Autoencoders
A Geometric Perspective on Variational Autoencoders
Clément Chadebec
S. Allassonnière
DRL
44
22
0
15 Sep 2022
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
101
1,869
0
11 Jun 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
477
10,466
0
12 Dec 2018
Hyperspherical Variational Auto-Encoders
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRL
BDL
75
381
0
03 Apr 2018
Latent Space Oddity: on the Curvature of Deep Generative Models
Latent Space Oddity: on the Curvature of Deep Generative Models
Georgios Arvanitidis
Lars Kai Hansen
Søren Hauberg
DRL
69
267
0
31 Oct 2017
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
121
12,384
0
24 Jun 2012
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