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Large Scale GAN Training for High Fidelity Natural Image Synthesis

Large Scale GAN Training for High Fidelity Natural Image Synthesis

28 September 2018
Andrew Brock
Jeff Donahue
Karen Simonyan
ArXivPDFHTML

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

50 / 1,373 papers shown
Title
Deep Isometric Learning for Visual Recognition
Deep Isometric Learning for Visual Recognition
Haozhi Qi
Chong You
Xinyu Wang
Yi-An Ma
Jitendra Malik
VLM
42
54
0
30 Jun 2020
Conditional GAN for timeseries generation
Conditional GAN for timeseries generation
Kaleb E. Smith
Anthony O. Smith
AI4TS
16
80
0
30 Jun 2020
Compositional Video Synthesis with Action Graphs
Compositional Video Synthesis with Action Graphs
Amir Bar
Roei Herzig
Xiaolong Wang
Anna Rohrbach
Gal Chechik
Trevor Darrell
Amir Globerson
38
43
0
27 Jun 2020
The Gaussian equivalence of generative models for learning with shallow
  neural networks
The Gaussian equivalence of generative models for learning with shallow neural networks
Sebastian Goldt
Bruno Loureiro
Galen Reeves
Florent Krzakala
M. Mézard
Lenka Zdeborová
BDL
46
101
0
25 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention
LayoutTransformer: Layout Generation and Completion with Self-attention
Kamal Gupta
Justin Lazarow
Alessandro Achille
Larry S. Davis
Vijay Mahadevan
Abhinav Shrivastava
ViT
47
136
0
25 Jun 2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
V. Chandrasekhar
44
30
0
25 Jun 2020
Searching towards Class-Aware Generators for Conditional Generative
  Adversarial Networks
Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks
P. Zhou
Lingxi Xie
Xiaopeng Zhang
Bingbing Ni
Qi Tian
21
13
0
25 Jun 2020
Deep Convolutional GANs for Car Image Generation
Deep Convolutional GANs for Car Image Generation
Dong-Hui Kim
GAN
35
2
0
24 Jun 2020
Large image datasets: A pyrrhic win for computer vision?
Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu
Abeba Birhane
28
361
0
24 Jun 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single
  Sample
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
Shir Gur
Sagie Benaim
Lior Wolf
VGen
GAN
DRL
25
69
0
22 Jun 2020
Deep Polynomial Neural Networks
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
Stefanos Zafeiriou
31
92
0
20 Jun 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data
Two Simple Ways to Learn Individual Fairness Metrics from Data
Debarghya Mukherjee
Mikhail Yurochkin
Moulinath Banerjee
Yuekai Sun
FaML
36
96
0
19 Jun 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
120
17,359
0
19 Jun 2020
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
59
601
0
18 Jun 2020
Diverse Image Generation via Self-Conditioned GANs
Diverse Image Generation via Self-Conditioned GANs
Steven Liu
Tongzhou Wang
David Bau
Jun-Yan Zhu
Antonio Torralba
SyDa
32
107
0
18 Jun 2020
Set Distribution Networks: a Generative Model for Sets of Images
Set Distribution Networks: a Generative Model for Sets of Images
Shuangfei Zhai
Walter A. Talbott
Miguel Angel Bautista
Carlos Guestrin
J. Susskind
GAN
32
2
0
18 Jun 2020
Latent Video Transformer
Latent Video Transformer
Ruslan Rakhimov
Denis Volkhonskiy
Alexey Artemov
Denis Zorin
Evgeny Burnaev
VGen
43
119
0
18 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
48
184
0
18 Jun 2020
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
62
465
0
17 Jun 2020
Dynamic Tensor Rematerialization
Dynamic Tensor Rematerialization
Marisa Kirisame
Steven Lyubomirsky
Altan Haan
Jennifer Brennan
Mike He
Jared Roesch
Tianqi Chen
Zachary Tatlock
45
93
0
17 Jun 2020
AlphaGAN: Fully Differentiable Architecture Search for Generative
  Adversarial Networks
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Yuesong Tian
Li Shen
Li Shen
Guinan Su
Zhifeng Li
Wei Liu
GAN
36
32
0
16 Jun 2020
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real
Kanishka Rao
Chris Harris
A. Irpan
Sergey Levine
Julian Ibarz
Mohi Khansari
37
186
0
16 Jun 2020
DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
DeshuffleGAN: A Self-Supervised GAN to Improve Structure Learning
Gulcin Baykal
Gözde B. Ünal
GAN
29
9
0
15 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
64
1,597
0
15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
187
6,682
0
13 Jun 2020
Convolutional Generation of Textured 3D Meshes
Convolutional Generation of Textured 3D Meshes
Dario Pavllo
Graham Spinks
Thomas Hofmann
Marie-Francine Moens
Aurelien Lucchi
24
62
0
13 Jun 2020
GAN Memory with No Forgetting
GAN Memory with No Forgetting
Yulai Cong
Miaoyun Zhao
Jianqiao Li
Sijia Wang
Lawrence Carin
CLL
18
117
0
13 Jun 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán
Umang Bhatt
T. Adel
Adrian Weller
José Miguel Hernández-Lobato
UQCV
BDL
56
112
0
11 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
95
1,861
0
11 Jun 2020
Perceiving Music Quality with GANs
Perceiving Music Quality with GANs
Agrin Hilmkil
Carl Thomé
Anders Arpteg
28
3
0
11 Jun 2020
On Noise Injection in Generative Adversarial Networks
On Noise Injection in Generative Adversarial Networks
Ruili Feng
Deli Zhao
Zhengjun Zha
GAN
28
32
0
10 Jun 2020
On Data Augmentation for GAN Training
On Data Augmentation for GAN Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Trung-Kien Nguyen
Ngai-Man Cheung
MedIm
23
36
0
09 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
38
266
0
09 Jun 2020
Object Segmentation Without Labels with Large-Scale Generative Models
Object Segmentation Without Labels with Large-Scale Generative Models
A. Voynov
S. Morozov
Artem Babenko
SSL
OCL
VLM
35
58
0
08 Jun 2020
The Lipschitz Constant of Self-Attention
The Lipschitz Constant of Self-Attention
Hyunjik Kim
George Papamakarios
A. Mnih
24
138
0
08 Jun 2020
Learning disconnected manifolds: a no GANs land
Learning disconnected manifolds: a no GANs land
Ugo Tanielian
Thibaut Issenhuth
Elvis Dohmatob
Jérémie Mary
25
35
0
08 Jun 2020
Constant-Expansion Suffices for Compressed Sensing with Generative
  Priors
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
C. Daskalakis
Dhruv Rohatgi
Manolis Zampetakis
38
12
0
07 Jun 2020
Analyzing Differentiable Fuzzy Implications
Analyzing Differentiable Fuzzy Implications
Emile van Krieken
Erman Acar
F. V. Harmelen
AI4CE
34
29
0
04 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided
  Adversarial Autoencoder
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder
Kazi Nazmul Haque
R. Rana
Björn W Schuller
DRL
49
12
0
01 Jun 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator
  GAN Without Sharing Medical Image Data
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
Qi Chang
Hui Qu
Yikai Zhang
M. Sabuncu
Chao Chen
Tong Zhang
Dimitris N. Metaxas
MedIm
34
78
0
29 May 2020
SegAttnGAN: Text to Image Generation with Segmentation Attention
SegAttnGAN: Text to Image Generation with Segmentation Attention
Yuchuan Gou
Qiancheng Wu
Minghao Li
Bo Gong
Mei Han
VLM
17
22
0
25 May 2020
Learning to Simulate Dynamic Environments with GameGAN
Learning to Simulate Dynamic Environments with GameGAN
Seung Wook Kim
Yuhao Zhou
Jonah Philion
Antonio Torralba
Sanja Fidler
GAN
28
102
0
25 May 2020
Few-shot Compositional Font Generation with Dual Memory
Few-shot Compositional Font Generation with Dual Memory
Junbum Cha
Sanghyuk Chun
Gayoung Lee
Bado Lee
Seonghyeon Kim
Hwalsuk Lee
32
78
0
21 May 2020
Regularization Methods for Generative Adversarial Networks: An Overview
  of Recent Studies
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies
Minhyeok Lee
Junhee Seok
GAN
37
25
0
19 May 2020
Semantic Photo Manipulation with a Generative Image Prior
Semantic Photo Manipulation with a Generative Image Prior
David Bau
Hendrik Strobelt
William S. Peebles
Jonas Wulff
Bolei Zhou
Jun-Yan Zhu
Antonio Torralba
GAN
39
350
0
15 May 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
28
521
0
12 May 2020
CONFIG: Controllable Neural Face Image Generation
CONFIG: Controllable Neural Face Image Generation
Marek Kowalski
Stephan J. Garbin
V. Estellers
T. Baltrušaitis
Matthew W. Johnson
Jamie Shotton
DRL
3DH
CVBM
40
90
0
06 May 2020
Communication-Efficient Distributed Stochastic AUC Maximization with
  Deep Neural Networks
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Zhishuai Guo
Mingrui Liu
Zhuoning Yuan
Li Shen
Wei Liu
Tianbao Yang
38
42
0
05 May 2020
Jukebox: A Generative Model for Music
Jukebox: A Generative Model for Music
Prafulla Dhariwal
Heewoo Jun
Christine Payne
Jong Wook Kim
Alec Radford
Ilya Sutskever
VLM
67
726
0
30 Apr 2020
Editing in Style: Uncovering the Local Semantics of GANs
Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins
R. Bala
B. Price
Sabine Süsstrunk
49
278
0
29 Apr 2020
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