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Large Scale GAN Training for High Fidelity Natural Image Synthesis
v1v2 (latest)

Large Scale GAN Training for High Fidelity Natural Image Synthesis

International Conference on Learning Representations (ICLR), 2018
28 September 2018
Andrew Brock
Jeff Donahue
Karen Simonyan
ArXiv (abs)PDFHTML

Papers citing "Large Scale GAN Training for High Fidelity Natural Image Synthesis"

35 / 3,185 papers shown
Title
Label-Noise Robust Generative Adversarial Networks
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
NoLa
239
69
0
27 Nov 2018
Class-Distinct and Class-Mutual Image Generation with GANs
Class-Distinct and Class-Mutual Image Generation with GANs
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
160
9
0
27 Nov 2018
Unsupervised Image Captioning
Unsupervised Image Captioning
Yang Feng
Lin Ma
Wei Liu
Jiebo Luo
VLMSSL
215
216
0
27 Nov 2018
Spatially Controllable Image Synthesis with Internal Representation
  Collaging
Spatially Controllable Image Synthesis with Internal Representation Collaging
Ryohei Suzuki
Masanori Koyama
Takeru Miyato
Taizan Yonetsuji
Huachun Zhu
124
43
0
26 Nov 2018
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training
  of High-resolution Temporal GAN
Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GANInternational Journal of Computer Vision (IJCV), 2018
Masaki Saito
Shunta Saito
Masanori Koyama
Sosuke Kobayashi
244
156
0
22 Nov 2018
Unsupervised Multimodal Representation Learning across Medical Images
  and Reports
Unsupervised Multimodal Representation Learning across Medical Images and Reports
T. Hsu
W. Weng
Willie Boag
Matthew B. A. McDermott
Peter Szolovits
SSL
174
37
0
21 Nov 2018
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Ning Yu
Larry S. Davis
Mario Fritz
110
3
0
20 Nov 2018
GPipe: Efficient Training of Giant Neural Networks using Pipeline
  Parallelism
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Yanping Huang
Yonglong Cheng
Ankur Bapna
Orhan Firat
Mia Xu Chen
...
HyoukJoong Lee
Jiquan Ngiam
Quoc V. Le
Yonghui Wu
Zhifeng Chen
GNNMoE
170
7
0
16 Nov 2018
Mode matching in GANs through latent space learning and inversion
Mode matching in GANs through latent space learning and inversion
Chao Weng
AP Prathosh
Dong Yu
Varun Srivastava
S. Chaudhury
GAN
239
2
0
08 Nov 2018
Generating Photo-Realistic Training Data to Improve Face Recognition
  Accuracy
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy
Daniel Saez-Trigueros
Lily Meng
Margaret Hartnett
GANCVBM
277
39
0
31 Oct 2018
Training Generative Adversarial Networks Via Turing Test
Training Generative Adversarial Networks Via Turing Test
Jianlin Su
GAN
91
5
0
25 Oct 2018
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh
Chen Liu
S. Chakrabartty
GAN
276
101
0
23 Oct 2018
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for
  Person Image Generation
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation
Wei Tang
Teng Li
Fudong Nian
Ming Wang
GAN
181
12
0
19 Oct 2018
Metropolis-Hastings view on variational inference and adversarial
  training
Metropolis-Hastings view on variational inference and adversarial training
Kirill Neklyudov
Evgenii Egorov
Pavel Shvechikov
Dmitry Vetrov
GAN
129
13
0
16 Oct 2018
Discriminator Rejection Sampling
Discriminator Rejection Sampling
S. Azadi
Catherine Olsson
Trevor Darrell
Ian Goodfellow
Augustus Odena
169
139
0
16 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
303
144
0
15 Oct 2018
Algorithmic Aspects of Inverse Problems Using Generative Models
Algorithmic Aspects of Inverse Problems Using Generative Models
Chinmay Hegde
GAN
138
21
0
08 Oct 2018
Stein Neural Sampler
Stein Neural Sampler
Tianyang Hu
Zixiang Chen
Hanxi Sun
Jincheng Bai
Mao Ye
Guang Cheng
SyDaGAN
201
36
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
GANMedIm
399
1,522
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
163
23
0
22 Aug 2018
Parametric generation of conditional geological realizations using
  generative neural networks
Parametric generation of conditional geological realizations using generative neural networks
Shing Chan
A. Elsheikh
OODGANAI4CE
229
114
0
13 Jul 2018
A Large-Scale Study on Regularization and Normalization in GANs
A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
AI4CE
299
157
0
12 Jul 2018
Vehicle Image Generation Going Well with The Surroundings
Vehicle Image Generation Going Well with The SurroundingsInternational Conference on Neural Information Processing (ICONIP), 2018
Jeesoo Kim
Jangho Kim
Jaeyoung Yoo
Daesik Kim
Nojun Kwak
174
0
0
09 Jul 2018
Deformable Generator Networks: Unsupervised Disentanglement of
  Appearance and Geometry
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry
X. Xing
Ruiqi Gao
Tian Han
Song-Chun Zhu
Ying Nian Wu
DRL
241
33
0
16 Jun 2018
Discriminator Feature-based Inference by Recycling the Discriminator of
  GANs
Discriminator Feature-based Inference by Recycling the Discriminator of GANs
Duhyeon Bang
Seoungyoon Kang
Hyunjung Shim
GAN
131
6
0
28 May 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
297
4,004
0
21 May 2018
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial
  Attribute Manipulation
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
Jichao Zhang
Yezhi Shu
Songhua Xu
Gongze Cao
Fan Zhong
Meng Liu
Xueying Qin
CVBM
350
35
0
19 May 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
334
1,405
0
12 Mar 2018
Robust GANs against Dishonest Adversaries
Robust GANs against Dishonest Adversaries
Zhi Xu
Chengtao Li
Stefanie Jegelka
AAML
158
3
0
27 Feb 2018
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Jiankang Deng
Jiaxin Guo
J. Yang
Niannan Xue
I. Kotsia
Stefanos Zafeiriou
CVBM
258
229
0
23 Jan 2018
High-resolution Deep Convolutional Generative Adversarial Networks
High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando de la Torre
Irwin King
Michael R. Lyu
GAN
351
35
0
17 Nov 2017
Parametric Adversarial Divergences are Good Losses for Generative
  Modeling
Parametric Adversarial Divergences are Good Losses for Generative Modeling
Gabriel Huang
Hugo Berard
Ahmed Touati
Gauthier Gidel
Pascal Vincent
Damien Scieur
GAN
217
1
0
08 Aug 2017
Controllable Generative Adversarial Network
Controllable Generative Adversarial Network
Minhyeok Lee
Junhee Seok
GAN
203
87
0
02 Aug 2017
Lifelong Generative Modeling
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDLCLL
417
127
0
27 May 2017
Relaxed Wasserstein with Applications to GANs
Relaxed Wasserstein with Applications to GANs
Xin Guo
Johnny Hong
Tianyi Lin
Nan Yang
GAN
511
36
0
19 May 2017
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