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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 / 3,191 papers shown
Title
AGAN: Towards Automated Design of Generative Adversarial Networks
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Hanchao Wang
Jun Huan
GANAI4CE
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Perceptual Generative Autoencoders
Perceptual Generative Autoencoders
Zijun Zhang
Ruixiang Zhang
Zongpeng Li
Yoshua Bengio
Liam Paull
DRLGAN
153
31
0
25 Jun 2019
GANalyze: Toward Visual Definitions of Cognitive Image Properties
GANalyze: Toward Visual Definitions of Cognitive Image PropertiesIEEE International Conference on Computer Vision (ICCV), 2019
L. Goetschalckx
A. Andonian
A. Oliva
Phillip Isola
FAttGAN
195
336
0
24 Jun 2019
Unifying machine learning and quantum chemistry -- a deep neural network
  for molecular wavefunctions
Unifying machine learning and quantum chemistry -- a deep neural network for molecular wavefunctionsNature Communications (Nat Commun), 2019
Kristof T. Schütt
M. Gastegger
A. Tkatchenko
K. Müller
R. Maurer
AI4CE
181
415
0
24 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder
Disentangled Inference for GANs with Latently Invertible AutoencoderInternational Journal of Computer Vision (IJCV), 2019
Jiapeng Zhu
Deli Zhao
Bo Zhang
Bolei Zhou
GANDRL
209
39
0
19 Jun 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional
  Image Editing
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image EditingEuropean Conference on Computer Vision (ECCV), 2019
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Yue Liu
AAML
283
194
0
19 Jun 2019
Inspirational Adversarial Image Generation
Inspirational Adversarial Image Generation
Baptiste Rozière
M. Rivière
O. Teytaud
Jérémy Rapin
Yann LeCun
Camille Couprie
118
24
0
17 Jun 2019
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and
  Selection for Disentangling GANs
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANsInternational Conference on Machine Learning (ICML), 2019
Zinan Lin
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
DRL
234
37
0
14 Jun 2019
Task-Aware Feature Generation for Zero-Shot Compositional Learning
Task-Aware Feature Generation for Zero-Shot Compositional Learning
Xin Wang
Feng Yu
Trevor Darrell
Joseph E. Gonzalez
VLMCoGe
121
18
0
11 Jun 2019
A Closer Look at the Optimization Landscapes of Generative Adversarial
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A Closer Look at the Optimization Landscapes of Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2019
Hugo Berard
Gauthier Gidel
Amjad Almahairi
Pascal Vincent
Damien Scieur
GAN
133
66
0
11 Jun 2019
Shapes and Context: In-the-Wild Image Synthesis & Manipulation
Shapes and Context: In-the-Wild Image Synthesis & ManipulationComputer Vision and Pattern Recognition (CVPR), 2019
Aayush Bansal
Yaser Sheikh
Deva Ramanan
144
21
0
11 Jun 2019
Towards Amortized Ranking-Critical Training for Collaborative Filtering
Towards Amortized Ranking-Critical Training for Collaborative Filtering
Sam Lobel
Chunyuan Li
Jianfeng Gao
Lawrence Carin
145
18
0
10 Jun 2019
The Implicit Metropolis-Hastings Algorithm
The Implicit Metropolis-Hastings AlgorithmNeural Information Processing Systems (NeurIPS), 2019
Kirill Neklyudov
Evgenii Egorov
Dmitry Vetrov
104
5
0
09 Jun 2019
Robust conditional GANs under missing or uncertain labels
Robust conditional GANs under missing or uncertain labels
K. K. Thekumparampil
Sewoong Oh
A. Khetan
OODGAN
120
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0
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Image Synthesis with a Single (Robust) Classifier
Image Synthesis with a Single (Robust) ClassifierNeural Information Processing Systems (NeurIPS), 2019
Shibani Santurkar
Dimitris Tsipras
Brandon Tran
Andrew Ilyas
Logan Engstrom
Aleksander Madry
AAML
139
36
0
06 Jun 2019
Style Generator Inversion for Image Enhancement and Animation
Style Generator Inversion for Image Enhancement and Animation
Aviv Gabbay
Yedid Hoshen
116
17
0
05 Jun 2019
Encoding Invariances in Deep Generative Models
Encoding Invariances in Deep Generative Models
Viraj Shah
Ameya Joshi
Sambuddha Ghosal
B. Pokuri
Soumik Sarkar
Baskar Ganapathysubramanian
Chinmay Hegde
PINNGAN
152
31
0
04 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and
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Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedImEGVM
639
92
0
04 Jun 2019
Adversarial Robustness as a Prior for Learned Representations
Adversarial Robustness as a Prior for Learned Representations
Logan Engstrom
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Brandon Tran
Aleksander Madry
OODAAML
208
63
0
03 Jun 2019
Continual learning with hypernetworks
Continual learning with hypernetworksInternational Conference on Learning Representations (ICLR), 2019
J. Oswald
Christian Henning
Benjamin Grewe
João Sacramento
CLL
337
388
0
03 Jun 2019
Unsupervised Neural Generative Semantic Hashing
Unsupervised Neural Generative Semantic HashingAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Casper Hansen
Christian B. Hansen
J. Simonsen
Stephen Alstrup
Christina Lioma
85
24
0
03 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
Generating Diverse High-Fidelity Images with VQ-VAE-2Neural Information Processing Systems (NeurIPS), 2019
Ali Razavi
Aaron van den Oord
Oriol Vinyals
DRLBDL
551
2,109
0
02 Jun 2019
GANchors: Realistic Image Perturbation Distributions for Anchors Using
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GANchors: Realistic Image Perturbation Distributions for Anchors Using Generative Models
Kurtis Evan David
Harrison Keane
Jun Min Noh
70
2
0
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Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular
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Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representation
Mario Krenn
Florian Hase
AkshatKumar Nigam
Pascal Friederich
Alán Aspuru-Guzik
225
74
0
31 May 2019
Partial Scanning Transmission Electron Microscopy with Deep Learning
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Jeffrey M. Ede
R. Beanland
MedIm
245
22
0
31 May 2019
Deep Adversarial Social Recommendation
Deep Adversarial Social RecommendationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Wenqi Fan
Hanyu Wang
Yao Ma
Jianping Wang
Shucheng Zhou
Qing Li
GNN
171
72
0
30 May 2019
Batch weight for domain adaptation with mass shift
Batch weight for domain adaptation with mass shiftIEEE International Conference on Computer Vision (ICCV), 2019
Mikolaj Binkowski
R. Devon Hjelm
Aaron Courville
GANOOD
122
11
0
29 May 2019
Stabilizing GANs with Soft Octave Convolutions
Stabilizing GANs with Soft Octave Convolutions
Ricard Durall
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J. Keuper
GAN
158
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0
29 May 2019
G2R Bound: A Generalization Bound for Supervised Learning from
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Fu-Chieh Chang
Hao Wang
Chun-Nan Chou
Edward Y. Chang
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99
1
0
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Universality Theorems for Generative Models
Universality Theorems for Generative Models
Valentin Khrulkov
Ivan Oseledets
110
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0
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Object Discovery with a Copy-Pasting GAN
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Relja Arandjelović
Andrew Zisserman
196
58
0
27 May 2019
Unsupervised Object Segmentation by Redrawing
Unsupervised Object Segmentation by RedrawingNeural Information Processing Systems (NeurIPS), 2019
Mickaël Chen
Thierry Artières
Ludovic Denoyer
451
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0
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Classification Accuracy Score for Conditional Generative Models
Classification Accuracy Score for Conditional Generative ModelsNeural Information Processing Systems (NeurIPS), 2019
Suman V. Ravuri
Oriol Vinyals
EGVM
335
258
0
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Precision-Recall Curves Using Information Divergence Frontiers
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Josip Djolonga
Mario Lucic
Marco Cuturi
Olivier Bachem
Olivier Bousquet
Sylvain Gelly
90
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0
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Learning Smooth Representation for Unsupervised Domain Adaptation
Learning Smooth Representation for Unsupervised Domain AdaptationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Guanyu Cai
Lianghua He
Mengchu Zhou
H. Alhumade
D. Hu
192
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0
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Generative Latent Flow
Generative Latent Flow
Zhisheng Xiao
Qing Yan
Y. Amit
DRL
105
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Fully Hyperbolic Convolutional Neural Networks
Fully Hyperbolic Convolutional Neural NetworksResearch in the Mathematical Sciences (RMS), 2019
Keegan Lensink
Bas Peters
E. Haber
MedIm
157
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Generative adversarial network based on chaotic time series
Generative adversarial network based on chaotic time seriesScientific Reports (Sci Rep), 2019
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Takashi Matsubara
N. Chauvet
Kazutaka Kanno
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Training language GANs from Scratch
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Cyprien de Masson dÁutume
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Data-Efficient Image Recognition with Contrastive Predictive Coding
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Olivier J. Hénaff
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Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
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406
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Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head ModelsIEEE International Conference on Computer Vision (ICCV), 2019
Egor Zakharov
Aliaksandra Shysheya
Egor Burkov
Victor Lempitsky
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Less Memory, Faster Speed: Refining Self-Attention Module for Image
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Zheng Wang
Jianwu Li
Ge Song
Tieling Li
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Texture Fields: Learning Texture Representations in Function Space
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Random Expert Distillation: Imitation Learning via Expert Policy Support
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MoGlow: Probabilistic and controllable motion synthesis using
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Simon Alexanderson
Jonas Beskow
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An Improved Self-supervised GAN via Adversarial Training
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Ngoc-Trung Tran
Viet-Hung Tran
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127
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Learning Generative Models across Incomparable Spaces
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Charlotte Bunne
David Alvarez-Melis
Andreas Krause
Stefanie Jegelka
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Revisiting Precision and Recall Definition for Generative Model
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Julien Rabin
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Expression Conditional GAN for Facial Expression-to-Expression
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Expression Conditional GAN for Facial Expression-to-Expression TranslationInternational Conference on Information Photonics (ICIP), 2019
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Wei Wang
Songsong Wu
Xinya Chen
Dan Xu
Andrii Zadaianchuk
Yan Yan
CVBM
148
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Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
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Jialin Liu
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