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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"

50 / 3,196 papers shown
Aesthetics of Neural Network Art
Aesthetics of Neural Network Art
Aaron Hertzmann
GAN
52
16
0
13 Mar 2019
A Three-Player GAN: Generating Hard Samples To Improve Classification
  Networks
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks
Simon Vandenhende
Bert De Brabandere
D. Neven
Luc Van Gool
GAN
127
23
0
08 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
243
39
0
06 Mar 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer LabelsInternational Conference on Machine Learning (ICML), 2019
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GANOOD
262
169
0
06 Mar 2019
O-GAN: Extremely Concise Approach for Auto-Encoding Generative
  Adversarial Networks
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks
Jianlin Su
GAN
119
19
0
05 Mar 2019
Adversarial Generation of Handwritten Text Images Conditioned on
  Sequences
Adversarial Generation of Handwritten Text Images Conditioned on SequencesIEEE International Conference on Document Analysis and Recognition (ICDAR), 2019
Eloi Alonso
Bastien Moysset
Ronaldo O. Messina
GAN
133
96
0
01 Mar 2019
Improving Missing Data Imputation with Deep Generative Models
Improving Missing Data Imputation with Deep Generative Models
R. Camino
Christian A. Hammerschmidt
R. State
SyDa
183
63
0
27 Feb 2019
GANSynth: Adversarial Neural Audio Synthesis
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel
Kumar Krishna Agrawal
Shuo Chen
Ishaan Gulrajani
Chris Donahue
Adam Roberts
361
417
0
23 Feb 2019
Latent Translation: Crossing Modalities by Bridging Generative Models
Latent Translation: Crossing Modalities by Bridging Generative Models
Yingtao Tian
Jesse Engel
DRL
149
18
0
21 Feb 2019
Single-shot Channel Pruning Based on Alternating Direction Method of
  Multipliers
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers
Chengcheng Li
Zehao Wang
Xiangyang Wang
Hairong Qi
112
5
0
18 Feb 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A
  Survey
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
416
1,906
0
16 Feb 2019
Artist Style Transfer Via Quadratic Potential
Artist Style Transfer Via Quadratic Potential
Rahul Bhalley
Jianlin Su
GAN
108
3
0
14 Feb 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Rethinking Generative Mode Coverage: A Pointwise Guaranteed ApproachNeural Information Processing Systems (NeurIPS), 2019
Peilin Zhong
Yuchen Mo
Chang Xiao
Pengyu Chen
Changxi Zheng
413
5
0
13 Feb 2019
MaCow: Masked Convolutional Generative Flow
MaCow: Masked Convolutional Generative FlowNeural Information Processing Systems (NeurIPS), 2019
Xuezhe Ma
Xiang Kong
Shanghang Zhang
Eduard H. Hovy
DRL
197
68
0
12 Feb 2019
MISO: Mutual Information Loss with Stochastic Style Representations for
  Multimodal Image-to-Image Translation
MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation
Sanghyeon Na
Seungjoo Yoo
Jaegul Choo
94
16
0
11 Feb 2019
Adversarial Generation of Time-Frequency Features with application in
  audio synthesis
Adversarial Generation of Time-Frequency Features with application in audio synthesisInternational Conference on Machine Learning (ICML), 2019
Andrés Marafioti
Nicki Holighaus
Nathanael Perraudin
P. Majdak
140
70
0
11 Feb 2019
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
Michal Uřičář
P. Krízek
David Hurych
Ibrahim Sobh
S. Yogamani
Patrick Denny
GAN
254
59
0
09 Feb 2019
Image Decomposition and Classification through a Generative Model
Image Decomposition and Classification through a Generative ModelInternational Conference on Information Photonics (ICIP), 2019
Houpu Yao
Malcolm Regan
Yezhou Yang
Yi Ren
GAN
89
1
0
09 Feb 2019
Hybrid Models with Deep and Invertible Features
Hybrid Models with Deep and Invertible Features
Eric T. Nalisnick
Akihiro Matsukawa
Yee Whye Teh
Dilan Görür
Balaji Lakshminarayanan
BDLDRL
296
101
0
07 Feb 2019
Reversible GANs for Memory-efficient Image-to-Image Translation
Reversible GANs for Memory-efficient Image-to-Image Translation
Tycho F. A. van der Ouderaa
Daniel E. Worrall
131
61
0
07 Feb 2019
Meta-Amortized Variational Inference and Learning
Meta-Amortized Variational Inference and Learning
Mike Wu
Kristy Choi
Noah D. Goodman
Stefano Ermon
OODVLMBDLDRL
184
39
0
05 Feb 2019
Perturbative GAN: GAN with Perturbation Layers
Perturbative GAN: GAN with Perturbation Layers
Yuma Kishi
Tsutomu Ikegami
Shin-ichi OÚchi
Ryousei Takano
Wakana Nogami
T. Kudoh
52
1
0
05 Feb 2019
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
302
17
0
02 Feb 2019
Normalized Wasserstein Distance for Mixture Distributions with
  Applications in Adversarial Learning and Domain Adaptation
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2019
Yogesh Balaji
Rama Chellappa
Soheil Feizi
232
52
0
01 Feb 2019
Compressing GANs using Knowledge Distillation
Compressing GANs using Knowledge Distillation
Angeline Aguinaldo
Ping Yeh-Chiang
Alex Gain
Ameya D. Patil
Kolten Pearson
Soheil Feizi
GAN
127
86
0
01 Feb 2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory
  GANs
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANsNeural Information Processing Systems (NeurIPS), 2019
Himanshu Sahni
Toby Buckley
Pieter Abbeel
Ilya Kuzovkin
223
10
0
31 Jan 2019
Progressive Augmentation of GANs
Progressive Augmentation of GANsNeural Information Processing Systems (NeurIPS), 2019
Dan Zhang
Anna Khoreva
195
30
0
29 Jan 2019
High-Quality Self-Supervised Deep Image Denoising
High-Quality Self-Supervised Deep Image DenoisingNeural Information Processing Systems (NeurIPS), 2019
S. Laine
Tero Karras
J. Lehtinen
Timo Aila
327
383
0
29 Jan 2019
Deconstructing Generative Adversarial Networks
Deconstructing Generative Adversarial Networks
Banghua Zhu
Jiantao Jiao
David Tse
467
53
0
27 Jan 2019
Kernel-Guided Training of Implicit Generative Models with Stability
  Guarantees
Kernel-Guided Training of Implicit Generative Models with Stability Guarantees
Arash Mehrjou
Wittawat Jitkrittum
Krikamol Muandet
Bernhard Schölkopf
GAN
98
4
0
26 Jan 2019
On Output Activation Functions for Adversarial Losses: A Theoretical
  Analysis via Variational Divergence Minimization and An Empirical Study on
  MNIST Classification
On Output Activation Functions for Adversarial Losses: A Theoretical Analysis via Variational Divergence Minimization and An Empirical Study on MNIST Classification
Hao-Wen Dong
Yi-Hsuan Yang
AAML
199
0
0
25 Jan 2019
Maximum Entropy Generators for Energy-Based Models
Maximum Entropy Generators for Energy-Based Models
Rithesh Kumar
Sherjil Ozair
Anirudh Goyal
Aaron Courville
Yoshua Bengio
174
116
0
24 Jan 2019
Deep Generative Learning via Variational Gradient Flow
Deep Generative Learning via Variational Gradient Flow
Yuan Gao
Yuling Jiao
Yang Wang
Yao Wang
Can Yang
Shunkang Zhang
297
40
0
24 Jan 2019
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Jonathan Sauder
Bjarne Sievers
3DPC
188
19
0
24 Jan 2019
QGAN: Quantized Generative Adversarial Networks
QGAN: Quantized Generative Adversarial Networks
Peiqi Wang
Dongsheng Wang
Yu Ji
Xinfeng Xie
Haoxuan Song
XuXin Liu
Yongqiang Lyu
Yuan Xie
GANMQ
121
42
0
24 Jan 2019
Pedestrian Attribute Recognition: A Survey
Pedestrian Attribute Recognition: A Survey
Tianlin Li
Shaofei Zheng
Rui Yang
Aihua Zheng
Zhe Chen
Jin Tang
Bin Luo
CVBM
327
146
0
22 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
218
13
0
18 Jan 2019
Deep learning-based electroencephalography analysis: a systematic review
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy
Hubert J. Banville
Isabela Albuquerque
Alexandre Gramfort
T. Falk
J. Faubert
345
1,136
0
16 Jan 2019
Using Scene Graph Context to Improve Image Generation
Using Scene Graph Context to Improve Image Generation
Subarna Tripathi
Anahita Bhiwandiwalla
A. Bastidas
Hanlin Tang
GNN
202
35
0
11 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Detecting Overfitting of Deep Generative Networks via Latent Recovery
Ryan Webster
Julien Rabin
Loïc Simon
F. Jurie
GAN
183
104
0
09 Jan 2019
On Relativistic $f$-Divergences
On Relativistic fff-Divergences
Alexia Jolicoeur-Martineau
77
21
0
08 Jan 2019
Monocular Neural Image Based Rendering with Continuous View Control
Monocular Neural Image Based Rendering with Continuous View Control
Xu Chen
Mingli Song
Otmar Hilliges
183
5
0
07 Jan 2019
Understanding the (un)interpretability of natural image distributions
  using generative models
Understanding the (un)interpretability of natural image distributions using generative models
Ryen Krusinga
Sohil Shah
Matthias Zwicker
Tom Goldstein
David Jacobs
DiffMFAttGAN
316
11
0
06 Jan 2019
Adaptive Density Estimation for Generative Models
Adaptive Density Estimation for Generative Models
Thomas Lucas
K. Shmelkov
Alahari Karteek
Cordelia Schmid
Jakob Verbeek
GANDRL
351
33
0
04 Jan 2019
On the Benefit of Width for Neural Networks: Disappearance of Bad Basins
On the Benefit of Width for Neural Networks: Disappearance of Bad Basins
Dawei Li
Tian Ding
Tian Ding
575
41
0
28 Dec 2018
Learning Compositional Representations for Few-Shot Recognition
Learning Compositional Representations for Few-Shot Recognition
P. Tokmakov
Yu-Xiong Wang
M. Hebert
OCL
239
133
0
21 Dec 2018
Fast Approximate Geodesics for Deep Generative Models
Fast Approximate Geodesics for Deep Generative Models
Nutan Chen
Francesco Ferroni
Alexej Klushyn
A. Paraschos
Justin Bayer
Patrick van der Smagt
DRL
204
31
0
19 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language
A Tutorial on Deep Latent Variable Models of Natural Language
Yoon Kim
Sam Wiseman
Alexander M. Rush
BDLVLM
263
45
0
17 Dec 2018
An Empirical Model of Large-Batch Training
An Empirical Model of Large-Batch Training
Sam McCandlish
Jared Kaplan
Dario Amodei
OpenAI Dota Team
859
353
0
14 Dec 2018
Unsupervised Image Decomposition in Vector Layers
Unsupervised Image Decomposition in Vector Layers
Othman Sbai
Camille Couprie
Mathieu Aubry
194
9
0
13 Dec 2018
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