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OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal
  Regularization

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization

26 May 2019
Bingchen Liu
Yizhe Zhu
Zuohui Fu
Gerard de Melo
Ahmed Elgammal
    CML
ArXivPDFHTML

Papers citing "OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization"

14 / 14 papers shown
Title
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and
  Selection for Disentangling GANs
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Zinan Lin
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
DRL
59
37
0
14 Jun 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
529
10,540
0
12 Dec 2018
Can We Gain More from Orthogonality Regularizations in Training Deep
  CNNs?
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?
Nitin Bansal
Xiaohan Chen
Zhangyang Wang
OOD
76
188
0
22 Oct 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
131
3,720
0
21 May 2018
Learning Disentangled Joint Continuous and Discrete Representations
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
76
242
0
31 Mar 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
62
1,346
0
16 Feb 2018
The Shape of Art History in the Eyes of the Machine
The Shape of Art History in the Eyes of the Machine
Ahmed Elgammal
Marian Mazzone
Bingchen Liu
Diana Kim
Mohamed Elhoseiny
GAN
47
107
0
23 Jan 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
317
886
0
11 Nov 2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple
  Dependent Stiefel Manifolds in Deep Neural Networks
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks
Lei Huang
Xianglong Liu
B. Lang
Adams Wei Yu
Yongliang Wang
Bo Li
ODL
69
228
0
16 Sep 2017
CAN: Creative Adversarial Networks, Generating "Art" by Learning About
  Styles and Deviating from Style Norms
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
Ahmed Elgammal
Bingchen Liu
Mohamed Elhoseiny
Marian Mazzone
GAN
49
470
0
21 Jun 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
143
479
0
24 May 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
281
5,360
0
03 Nov 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
63
458
0
22 Sep 2016
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
224
12,422
0
24 Jun 2012
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