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BEGAN: Boundary Equilibrium Generative Adversarial Networks

BEGAN: Boundary Equilibrium Generative Adversarial Networks

31 March 2017
David Berthelot
Tom Schumm
Luke Metz
    GAN
ArXivPDFHTML

Papers citing "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

50 / 165 papers shown
Title
Spread Divergence
Spread Divergence
Mingtian Zhang
Peter Hayes
Thomas Bird
Raza Habib
David Barber
MedIm
UD
30
20
0
21 Nov 2018
Use of Neural Signals to Evaluate the Quality of Generative Adversarial
  Network Performance in Facial Image Generation
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation
Zhengwei Wang
Graham Healy
A. Smeaton
T. Ward
EGVM
39
37
0
10 Nov 2018
Robustness of Conditional GANs to Noisy Labels
Robustness of Conditional GANs to Noisy Labels
Kerry J. Halupka
A. Khetan
Zinan Lin
Stephen Moore
NoLa
21
79
0
08 Nov 2018
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for
  Speech Recognition
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition
Jonathan Lee
Michael Laskey
Bo-Kyeong Kim
A. Aswani
Soo-Young Lee
16
17
0
06 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial
  Learning
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
Wenbin Li
Wei Xiong
Haofu Liao
Jing Huo
Yang Gao
Jiebo Luo
GAN
22
44
0
01 Nov 2018
LoGAN: Generating Logos with a Generative Adversarial Neural Network
  Conditioned on color
LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on color
Ajkel Mino
Gerasimos Spanakis
GAN
VLM
19
27
0
23 Oct 2018
Training Deep Neural Network in Limited Precision
Training Deep Neural Network in Limited Precision
Hyunsun Park
J. Lee
Youngmin Oh
Sangwon Ha
Seungwon Lee
19
8
0
12 Oct 2018
Algorithmic Aspects of Inverse Problems Using Generative Models
Algorithmic Aspects of Inverse Problems Using Generative Models
C. Hegde
GAN
25
21
0
08 Oct 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
Manipulating Attributes of Natural Scenes via Hallucination
Manipulating Attributes of Natural Scenes via Hallucination
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
25
23
0
22 Aug 2018
Text-to-image Synthesis via Symmetrical Distillation Networks
Text-to-image Synthesis via Symmetrical Distillation Networks
Mingkuan Yuan
Yuxin Peng
DiffM
25
37
0
21 Aug 2018
Conditional Infilling GANs for Data Augmentation in Mammogram
  Classification
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
E. Wu
K. Wu
David D. Cox
William Lotter
MedIm
22
134
0
21 Jul 2018
RUDDER: Return Decomposition for Delayed Rewards
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina
Michael Gillhofer
Michael Widrich
Thomas Unterthiner
Johannes Brandstetter
Sepp Hochreiter
22
212
0
20 Jun 2018
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using
  Style-Synchonized GANs
FrankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs
Tom Kelly
Paul Guerrero
A. Steed
Peter Wonka
Niloy J. Mitra
26
39
0
19 Jun 2018
MedGAN: Medical Image Translation using GANs
MedGAN: Medical Image Translation using GANs
Karim Armanious
Chenming Yang
Marc Fischer
Thomas Kustner
K. Nikolaou
S. Gatidis
Bin Yang
GAN
MedIm
14
537
0
17 Jun 2018
Show, Attend and Translate: Unsupervised Image Translation with
  Self-Regularization and Attention
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention
Chao Yang
Taehwan Kim
Ruizhe Wang
Hao Peng
C.-C. Jay Kuo
26
51
0
16 Jun 2018
What Is It Like Down There? Generating Dense Ground-Level Views and
  Image Features From Overhead Imagery Using Conditional Generative Adversarial
  Networks
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks
XueQing Deng
Yi Zhu
Shawn D. Newsam
GAN
22
27
0
13 Jun 2018
On Accurate Evaluation of GANs for Language Generation
On Accurate Evaluation of GANs for Language Generation
Stanislau Semeniuta
Aliaksei Severyn
Sylvain Gelly
EGVM
31
81
0
13 Jun 2018
Variational Implicit Processes
Variational Implicit Processes
Chao Ma
Yingzhen Li
José Miguel Hernández-Lobato
BDL
22
68
0
06 Jun 2018
Whitening and Coloring batch transform for GANs
Whitening and Coloring batch transform for GANs
Aliaksandr Siarohin
E. Sangineto
N. Sebe
22
49
0
01 Jun 2018
On GANs and GMMs
On GANs and GMMs
Eitan Richardson
Yair Weiss
GAN
23
149
0
31 May 2018
Capturing Variabilities from Computed Tomography Images with Generative
  Adversarial Networks
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks
U. Javaid
J. Lee
GAN
MedIm
25
5
0
29 May 2018
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Defending Against Adversarial Attacks by Leveraging an Entire GAN
G. Santhanam
Paulina Grnarova
AAML
16
40
0
27 May 2018
Stingray Detection of Aerial Images Using Augmented Training Images
  Generated by A Conditional Generative Model
Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model
Yi-Min Chou
Chien-Hung Chen
Keng-Hao Liu
Chu-Song Chen
27
3
0
11 May 2018
Improving GAN Training via Binarized Representation Entropy (BRE)
  Regularization
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
Yanshuai Cao
G. Ding
Kry Yik-Chau Lui
Ruitong Huang
GAN
18
19
0
09 May 2018
Boosting Noise Robustness of Acoustic Model via Deep Adversarial
  Training
Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training
B. Liu
Shuai Nie
Yaping Zhang
Dengfeng Ke
Shan Liang
Wenju Liu
33
25
0
02 May 2018
Versatile Auxiliary Classifier with Generative Adversarial Network
  (VAC+GAN)
Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN)
S. Bazrafkan
Hossein Javidnia
Peter Corcoran
GAN
11
4
0
01 May 2018
Adversarial Training of Variational Auto-encoders for High Fidelity
  Image Generation
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation
Salman H. Khan
Munawar Hayat
Nick Barnes
GAN
DRL
19
20
0
27 Apr 2018
FaceShop: Deep Sketch-based Face Image Editing
FaceShop: Deep Sketch-based Face Image Editing
Tiziano Portenier
Qiyang Hu
Attila Szabó
Siavash Bigdeli
Paolo Favaro
Matthias Zwicker
3DH
CVBM
13
94
0
24 Apr 2018
Unsupervised Discovery of Object Landmarks as Structural Representations
Unsupervised Discovery of Object Landmarks as Structural Representations
Y. Zhang
Yijie Guo
Yixin Jin
Yijun Luo
Zhiyuan He
Honglak Lee
OCL
33
194
0
12 Apr 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training
MGGAN: Solving Mode Collapse using Manifold Guided Training
Duhyeon Bang
Hyunjung Shim
GAN
22
77
0
12 Apr 2018
Lipschitz Constrained GANs via Boundedness and Continuity
Lipschitz Constrained GANs via Boundedness and Continuity
Kanglin Liu
Guoping Qiu
GAN
21
8
0
16 Mar 2018
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image
  Compositing
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
Chen-Hsuan Lin
Ersin Yumer
Oliver Wang
Eli Shechtman
Simon Lucey
GAN
33
222
0
05 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
873
0
03 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
19
69
0
02 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
29
359
0
02 Mar 2018
Robust GANs against Dishonest Adversaries
Robust GANs against Dishonest Adversaries
Zhi Xu
Chengtao Li
Stefanie Jegelka
AAML
34
3
0
27 Feb 2018
Translating and Segmenting Multimodal Medical Volumes with Cycle- and
  Shape-Consistency Generative Adversarial Network
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network
Zizhao Zhang
L. Yang
Yefeng Zheng
MedIm
35
377
0
27 Feb 2018
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with
  Provable Guarantees
Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
Viraj Shah
C. Hegde
GAN
13
161
0
23 Feb 2018
Differentially Private Generative Adversarial Network
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
19
490
0
19 Feb 2018
Adversarial Audio Synthesis
Adversarial Audio Synthesis
Chris Donahue
Julian McAuley
M. Puckette
GAN
24
602
0
12 Feb 2018
Improved Training of Generative Adversarial Networks Using
  Representative Features
Improved Training of Generative Adversarial Networks Using Representative Features
Duhyeon Bang
Hyunjung Shim
GAN
30
33
0
28 Jan 2018
Deep Interactive Evolution
Deep Interactive Evolution
Philip Bontrager
Wen-Chieh Lin
Julian Togelius
S. Risi
GAN
16
69
0
24 Jan 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
30
1,452
0
13 Jan 2018
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
W. Chen
James Hays
GAN
12
305
0
09 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
A. Gretton
EGVM
43
1,449
0
04 Jan 2018
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs
  and GANs
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
Xing Di
Vishal M. Patel
CVBM
GAN
36
35
0
30 Dec 2017
The Robust Manifold Defense: Adversarial Training using Generative
  Models
The Robust Manifold Defense: Adversarial Training using Generative Models
A. Jalal
Andrew Ilyas
C. Daskalakis
A. Dimakis
AAML
28
174
0
26 Dec 2017
Wasserstein Divergence for GANs
Wasserstein Divergence for GANs
Jiqing Wu
Zhiwu Huang
Janine Thoma
Dinesh Acharya
Luc Van Gool
31
138
0
04 Dec 2017
Differential Generative Adversarial Networks: Synthesizing Non-linear
  Facial Variations with Limited Number of Training Data
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data
Geonmo Gu
S. T. Kim
Ki Hyun Kim
Wissam J. Baddar
Yong Man Ro
GAN
CVBM
22
10
0
28 Nov 2017
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