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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 / 1,210 papers shown
Title
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation
Jie Cao
Huaibo Huang
Yi Li
Jingtuo Liu
Ran He
Zhenan Sun
GAN
26
4
0
14 Apr 2019
Towards Photographic Image Manipulation with Balanced Growing of
  Generative Autoencoders
Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
Ari Heljakka
Arno Solin
Arno Solin
DRL
CVBM
35
15
0
12 Apr 2019
Towards Generalized Speech Enhancement with Generative Adversarial
  Networks
Towards Generalized Speech Enhancement with Generative Adversarial Networks
Santiago Pascual
Joan Serrà
Antonio Bonafonte
GAN
28
31
0
06 Apr 2019
A Learned Representation for Scalable Vector Graphics
A Learned Representation for Scalable Vector Graphics
Raphael Gontijo-Lopes
David R Ha
Douglas Eck
Jonathon Shlens
GAN
OCL
33
113
0
04 Apr 2019
Towards annotation-efficient segmentation via image-to-image translation
Towards annotation-efficient segmentation via image-to-image translation
Eugene Vorontsov
Pavlo Molchanov
Christopher Beckham
Jan Kautz
Samuel Kadoury
MedIm
17
13
0
02 Apr 2019
From Variational to Deterministic Autoencoders
From Variational to Deterministic Autoencoders
Partha Ghosh
Mehdi S. M. Sajjadi
Antonio Vergari
Michael J. Black
Bernhard Schölkopf
DRL
37
269
0
29 Mar 2019
Attention-Guided Generative Adversarial Networks for Unsupervised
  Image-to-Image Translation
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
Hao Tang
Dan Xu
N. Sebe
Yan Yan
GAN
18
124
0
28 Mar 2019
High Fidelity Face Manipulation with Extreme Poses and Expressions
High Fidelity Face Manipulation with Extreme Poses and Expressions
Chaoyou Fu
Yibo Hu
Xiang Wu
Guoli Wang
Qian Zhang
Ran He
CVBM
32
25
0
28 Mar 2019
Wasserstein Dependency Measure for Representation Learning
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aaron van den Oord
Sergey Levine
P. Sermanet
SSL
DRL
30
116
0
28 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
22
67
0
20 Mar 2019
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks
Animesh Karnewar
Oliver Wang
GAN
16
50
0
14 Mar 2019
Aesthetics of Neural Network Art
Aesthetics of Neural Network Art
Aaron Hertzmann
GAN
9
15
0
13 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
30
37
0
06 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
36
157
0
06 Mar 2019
Adversarial Generation of Handwritten Text Images Conditioned on
  Sequences
Adversarial Generation of Handwritten Text Images Conditioned on Sequences
Eloi Alonso
Bastien Moysset
Ronaldo O. Messina
GAN
28
82
0
01 Mar 2019
GANSynth: Adversarial Neural Audio Synthesis
GANSynth: Adversarial Neural Audio Synthesis
Jesse Engel
Kumar Krishna Agrawal
Shuo Chen
Ishaan Gulrajani
Chris Donahue
Adam Roberts
49
385
0
23 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
19
5
0
18 Feb 2019
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
28
16
0
02 Feb 2019
Progressive Augmentation of GANs
Progressive Augmentation of GANs
Dan Zhang
Anna Khoreva
27
27
0
29 Jan 2019
Deconstructing Generative Adversarial Networks
Deconstructing Generative Adversarial Networks
Banghua Zhu
Jiantao Jiao
David Tse
34
49
0
27 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
19
112
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
27
36
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
GAN
MQ
18
32
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
28
127
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
21
13
0
18 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
50
32
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
14
99
0
09 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
DiffM
FAtt
GAN
28
11
0
06 Jan 2019
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
16
30
0
19 Dec 2018
Unsupervised Image Decomposition in Vector Layers
Unsupervised Image Decomposition in Vector Layers
Othman Sbai
Camille Couprie
Mathieu Aubry
41
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
306
10,378
0
12 Dec 2018
Counterfactuals uncover the modular structure of deep generative models
Counterfactuals uncover the modular structure of deep generative models
M. Besserve
Arash Mehrjou
Rémy Sun
Bernhard Schölkopf
DRL
BDL
DiffM
19
107
0
08 Dec 2018
Continuous User Authentication by Contactless Wireless Sensing
Continuous User Authentication by Contactless Wireless Sensing
Fei Wang
Zhenjiang Li
Jinsong Han
24
19
0
04 Dec 2018
Efficient Attention: Attention with Linear Complexities
Efficient Attention: Attention with Linear Complexities
Zhuoran Shen
Mingyuan Zhang
Haiyu Zhao
Shuai Yi
Hongsheng Li
37
509
0
04 Dec 2018
A Spectral Regularizer for Unsupervised Disentanglement
A Spectral Regularizer for Unsupervised Disentanglement
Aditya A. Ramesh
Youngduck Choi
Yann LeCun
DRL
29
42
0
04 Dec 2018
Towards Accurate Generative Models of Video: A New Metric & Challenges
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner
Sjoerd van Steenkiste
Karol Kurach
Raphaël Marinier
Marcin Michalski
Sylvain Gelly
EGVM
VGen
27
691
0
03 Dec 2018
Disentangling Propagation and Generation for Video Prediction
Disentangling Propagation and Generation for Video Prediction
Hang Gao
Huazhe Xu
Qi-Zhi Cai
Ruth Wang
Feng Yu
Trevor Darrell
23
84
0
02 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 Chen
GAN
23
0
0
27 Nov 2018
Label-Noise Robust Generative Adversarial Networks
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
NoLa
27
60
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
17
9
0
27 Nov 2018
Unsupervised Image Captioning
Unsupervised Image Captioning
Yang Feng
Lin Ma
Wei Liu
Jiebo Luo
VLM
SSL
19
201
0
27 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 GAN
Masaki Saito
Shunta Saito
Masanori Koyama
Sosuke Kobayashi
26
145
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
25
35
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
27
3
0
20 Nov 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
27
91
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
31
10
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
29
13
0
16 Oct 2018
Discriminator Rejection Sampling
Discriminator Rejection Sampling
S. Azadi
Catherine Olsson
Trevor Darrell
Ian Goodfellow
Augustus Odena
27
131
0
16 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
Stein Neural Sampler
Stein Neural Sampler
Tianyang Hu
Zixiang Chen
Hanxi Sun
Jincheng Bai
Mao Ye
Guang Cheng
SyDa
GAN
22
34
0
08 Oct 2018
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