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A Large-Scale Study on Regularization and Normalization in GANs

A Large-Scale Study on Regularization and Normalization in GANs

12 July 2018
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
    AI4CE
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Papers citing "A Large-Scale Study on Regularization and Normalization in GANs"

31 / 81 papers shown
Title
Implicit Generation and Generalization in Energy-Based Models
Implicit Generation and Generalization in Energy-Based Models
Yilun Du
Igor Mordatch
BDL
DiffM
17
40
0
20 Mar 2019
Convolution with even-sized kernels and symmetric padding
Convolution with even-sized kernels and symmetric padding
Shuang Wu
Guanrui Wang
Pei Tang
F. Chen
Luping Shi
14
67
0
20 Mar 2019
Generative Adversarial Networks: recent developments
Generative Adversarial Networks: recent developments
M. Zamorski
Adrian Zdobylak
Maciej Ziȩba
J. Swiatek
GAN
4
15
0
16 Mar 2019
Deep learning for molecular design - a review of the state of the art
Deep learning for molecular design - a review of the state of the art
Daniel C. Elton
Zois Boukouvalas
M. Fuge
Peter W. Chung
AI4CE
3DV
19
326
0
11 Mar 2019
Adversarial Out-domain Examples for Generative Models
Adversarial Out-domain Examples for Generative Models
Dario Pasquini
Marco Mingione
M. Bernaschi
WIGM
SILM
AAML
15
6
0
07 Mar 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer Labels
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GAN
OOD
31
157
0
06 Mar 2019
Matching Thermal to Visible Face Images Using a Semantic-Guided
  Generative Adversarial Network
Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network
Cunjian Chen
Arun Ross
CVBM
GAN
19
26
0
03 Mar 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive
  Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
Jonas Löhdefink
Andreas Bär
Nico M. Schmidt
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
13
15
0
12 Feb 2019
Diversity Regularized Adversarial Learning
Diversity Regularized Adversarial Learning
B. Ayinde
Keishin Nishihama
J. Zurada
GAN
9
1
0
30 Jan 2019
Progressive Augmentation of GANs
Progressive Augmentation of GANs
Dan Zhang
Anna Khoreva
17
27
0
29 Jan 2019
Diversity-Sensitive Conditional Generative Adversarial Networks
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang
Seunghoon Hong
Y. Jang
Tianchen Zhao
Honglak Lee
GAN
36
214
0
25 Jan 2019
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and
  Image-to-Image Translation
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation
Wei Sun
Tianfu Wu
13
13
0
18 Jan 2019
Unsupervised Image Decomposition in Vector Layers
Unsupervised Image Decomposition in Vector Layers
Othman Sbai
Camille Couprie
Mathieu Aubry
30
8
0
13 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
264
10,348
0
12 Dec 2018
Taking Control of Intra-class Variation in Conditional GANs Under Weak
  Supervision
Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision
Richard T. Marriott
S. Romdhani
Liming Luke Chen
GAN
18
0
0
27 Nov 2018
Self-Supervised GANs via Auxiliary Rotation Loss
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen
Xiaohua Zhai
Marvin Ritter
Mario Lucic
N. Houlsby
SSL
GAN
11
302
0
27 Nov 2018
How does Lipschitz Regularization Influence GAN Training?
How does Lipschitz Regularization Influence GAN Training?
Yipeng Qin
Niloy Mitra
Peter Wonka
AI4CE
24
16
0
23 Nov 2018
A Survey on Data Collection for Machine Learning: a Big Data -- AI
  Integration Perspective
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
Yuji Roh
A. Mishra
Steven Euijong Whang
16
673
0
08 Nov 2018
DeepLSR: a deep learning approach for laser speckle reduction
DeepLSR: a deep learning approach for laser speckle reduction
Taylor L. Bobrow
Faisal Mahmood
Miguel Inserni
Nicholas J. Durr
MedIm
12
28
0
23 Oct 2018
Investigating Object Compositionality in Generative Adversarial Networks
Investigating Object Compositionality in Generative Adversarial Networks
Sjoerd van Steenkiste
Karol Kurach
Jürgen Schmidhuber
Sylvain Gelly
GAN
OCL
24
20
0
17 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLM
OffRL
23
144
0
15 Oct 2018
Robust Estimation and Generative Adversarial Nets
Robust Estimation and Generative Adversarial Nets
Chao Gao
Jiyi Liu
Y. Yao
Weizhi Zhu
17
28
0
04 Oct 2018
On Self Modulation for Generative Adversarial Networks
On Self Modulation for Generative Adversarial Networks
Ting Chen
Mario Lucic
N. Houlsby
Sylvain Gelly
GAN
19
104
0
02 Oct 2018
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in
  Histopathology Images
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
Faisal Mahmood
Daniel Borders
Richard J. Chen
Gregory N. McKay
Kevan J. Salimian
Alexander S. Baras
Nicholas J. Durr
GAN
MedIm
20
279
0
29 Sep 2018
Conditional WaveGAN
Conditional WaveGAN
Chae Young Lee
Anoop Toffy
G. Jung
W. Han
DiffM
12
21
0
27 Sep 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
1,369
0
19 Sep 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
18
16
0
05 Aug 2018
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
11
565
0
31 May 2018
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELM
EGVM
23
865
0
09 Feb 2018
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
14
1,003
0
28 Nov 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,190
0
30 Oct 2016
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