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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
Learning GANs and Ensembles Using Discrepancy
Learning GANs and Ensembles Using DiscrepancyNeural Information Processing Systems (NeurIPS), 2019
Ben Adlam
Corinna Cortes
M. Mohri
Ningshan Zhang
183
5
0
20 Oct 2019
Semi-supervised Learning using Adversarial Training with Good and Bad
  Samples
Semi-supervised Learning using Adversarial Training with Good and Bad SamplesMachine Vision and Applications (MVA), 2019
Wenyuan Li
Zichen Wang
Yuguang Yue
Jiayun Li
W. Speier
Mingyuan Zhou
C. Arnold
GAN
88
23
0
18 Oct 2019
Autoregressive Models: What Are They Good For?
Autoregressive Models: What Are They Good For?
Murtaza Dalal
Alexander C. Li
Rohan Taori
58
17
0
17 Oct 2019
Optimal Transport Based Generative Autoencoders
Optimal Transport Based Generative Autoencoders
Oliver Zhang
Ruei-Sung Lin
Yuchuan Gou
GANDRL
110
2
0
16 Oct 2019
Label-Conditioned Next-Frame Video Generation with Neural Flows
Label-Conditioned Next-Frame Video Generation with Neural Flows
Sergey Tarasenko
VGen
94
1
0
16 Oct 2019
Generative Modeling for Small-Data Object Detection
Generative Modeling for Small-Data Object DetectionIEEE International Conference on Computer Vision (ICCV), 2019
Lanlan Liu
Michael Muelly
Gaowen Liu
Tomas Pfister
Li Li
ObjDMedIm
123
69
0
16 Oct 2019
Gradient penalty from a maximum margin perspective
Gradient penalty from a maximum margin perspective
Alexia Jolicoeur-Martineau
Alexia Jolicoeur-Martineau
GAN
220
12
0
15 Oct 2019
Discriminator optimal transport
Discriminator optimal transportNeural Information Processing Systems (NeurIPS), 2019
A. Tanaka
OT
225
54
0
15 Oct 2019
Learning to Predict Layout-to-image Conditional Convolutions for
  Semantic Image Synthesis
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image SynthesisNeural Information Processing Systems (NeurIPS), 2019
Xihui Liu
Guojun Yin
Jing Shao
Xiaogang Wang
Jiaming Song
309
225
0
15 Oct 2019
Full-Scale Continuous Synthetic Sonar Data Generation with Markov
  Conditional Generative Adversarial Networks
Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial NetworksIEEE International Conference on Robotics and Automation (ICRA), 2019
Marija Jegorova
Antti Ilari Karjalainen
Jose Vazquez
Timothy Hospedales
106
15
0
15 Oct 2019
Image Generation and Recognition (Emotions)
Image Generation and Recognition (Emotions)
Hanne Carlsson
D. Kollias
GAN
147
0
0
13 Oct 2019
MetaPix: Few-Shot Video Retargeting
MetaPix: Few-Shot Video RetargetingInternational Conference on Learning Representations (ICLR), 2019
Jessica Lee
Deva Ramanan
Rohit Girdhar
VGenViT
159
29
0
10 Oct 2019
Visual Indeterminacy in GAN Art
Visual Indeterminacy in GAN Art
Aaron Hertzmann
GAN
47
6
0
10 Oct 2019
A cost-effective method for improving and re-purposing large,
  pre-trained GANs by fine-tuning their class-embeddings
A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings
Qi Li
Long Mai
Michael A. Alcorn
Anh Totti Nguyen
322
6
0
10 Oct 2019
A Generative Approach Towards Improved Robotic Detection of Marine
  Litter
A Generative Approach Towards Improved Robotic Detection of Marine LitterIEEE International Conference on Robotics and Automation (ICRA), 2019
Jungseok Hong
Michael Fulton
Junaed Sattar
122
24
0
10 Oct 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GANDRL
212
61
0
09 Oct 2019
Improving Password Guessing via Representation Learning
Improving Password Guessing via Representation LearningIEEE Symposium on Security and Privacy (IEEE S&P), 2019
Dario Pasquini
Ankit Gangwal
G. Ateniese
M. Bernaschi
Mauro Conti
OOD
149
88
0
09 Oct 2019
Text-to-Image Synthesis Based on Machine Generated Captions
Text-to-Image Synthesis Based on Machine Generated CaptionsItalian Research Conference on Digital Library Management Systems (IRCDL), 2019
Marco Menardi
Alex Falcon
Saida S. Mohamed
Lorenzo Seidenari
G. Serra
Marco Bertini
C. Tasso
100
0
0
09 Oct 2019
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long
  samples using Spectrograms
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms
Marco Pasini
135
42
0
08 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds
Irregular Convolutional Auto-Encoder on Point Clouds
Yuhui Zhang
G. Gutmann
Konagaya Akihiko
3DPC
84
2
0
07 Oct 2019
Checkmate: Breaking the Memory Wall with Optimal Tensor
  Rematerialization
Checkmate: Breaking the Memory Wall with Optimal Tensor RematerializationConference on Machine Learning and Systems (MLSys), 2019
Paras Jain
Ajay Jain
Aniruddha Nrusimha
A. Gholami
Pieter Abbeel
Kurt Keutzer
Ion Stoica
Joseph E. Gonzalez
240
230
0
07 Oct 2019
FIS-GAN: GAN with Flow-based Importance Sampling
FIS-GAN: GAN with Flow-based Importance Sampling
Shiyu Yi
Donglin Zhan
Wenqing Zhang
Zhengyang Geng
Kang An
Hao Wang
GAN
228
3
0
06 Oct 2019
Transforming the output of GANs by fine-tuning them with features from
  different datasets
Transforming the output of GANs by fine-tuning them with features from different datasets
Terence Broad
M. Grierson
50
3
0
06 Oct 2019
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer
  Algorithm
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
Guillaume Verdon
Jacob A. Marks
Sasha Nanda
Stefan Leichenauer
Jack Hidary
DRL
177
109
0
04 Oct 2019
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset
  for Image Classification
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
Florent Chiaroni
G. Khodabandelou
Mohamed-Cherif Rahal
N. Hueber
Frederic Dufaux
112
4
0
04 Oct 2019
Fluid Flow Mass Transport for Generative Networks
Fluid Flow Mass Transport for Generative Networks
Jingrong Lin
Keegan Lensink
Dirk Soffker
GAN
149
8
0
03 Oct 2019
Incremental learning for the detection and classification of
  GAN-generated images
Incremental learning for the detection and classification of GAN-generated imagesInternational Workshop on Information Forensics and Security (WIFS), 2019
Francesco Marra
Cristiano Saltori
G. Boato
Luisa Verdoliva
241
150
0
03 Oct 2019
The Bouncer Problem: Challenges to Remote Explainability
The Bouncer Problem: Challenges to Remote Explainability
Erwan Le Merrer
Gilles Tredan
196
9
0
03 Oct 2019
Task-Relevant Adversarial Imitation Learning
Task-Relevant Adversarial Imitation LearningConference on Robot Learning (CoRL), 2019
Konrad Zolna
Scott E. Reed
Alexander Novikov
Sergio Gomez Colmenarejo
David Budden
Serkan Cabi
Misha Denil
Nando de Freitas
Ziyun Wang
GAN
273
62
0
02 Oct 2019
Unsupervised Doodling and Painting with Improved SPIRAL
Unsupervised Doodling and Painting with Improved SPIRAL
John F. J. Mellor
Eunbyung Park
Yaroslav Ganin
Igor Babuschkin
Tejas D. Kulkarni
Dan Rosenbaum
Andy Ballard
T. Weber
Oriol Vinyals
S. M. Ali Eslami
232
47
0
02 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task
  Adaptation Benchmark
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Xiaohua Zhai
J. Puigcerver
Alexander Kolesnikov
P. Ruyssen
C. Riquelme
...
Michael Tschannen
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
N. Houlsby
SSL
314
503
0
01 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
319
107
0
30 Sep 2019
Understanding and Stabilizing GANs' Training Dynamics with Control
  Theory
Understanding and Stabilizing GANs' Training Dynamics with Control Theory
Kun Xu
Chongxuan Li
Jun Zhu
Bo Zhang
GAN
227
10
0
29 Sep 2019
Bridging Explicit and Implicit Deep Generative Models via Neural Stein
  Estimators
Bridging Explicit and Implicit Deep Generative Models via Neural Stein EstimatorsNeural Information Processing Systems (NeurIPS), 2019
Qitian Wu
Rui Gao
H. Zha
GAN
190
6
0
28 Sep 2019
Automated curricula through setter-solver interactions
Automated curricula through setter-solver interactions
S. Racanière
Andrew Kyle Lampinen
Adam Santoro
David P. Reichert
Vlad Firoiu
Timothy Lillicrap
249
59
0
27 Sep 2019
On the Anomalous Generalization of GANs
On the Anomalous Generalization of GANs
Jinchen Xuan
Yunchang Yang
Ze Yang
Di He
Liwei Wang
120
3
0
27 Sep 2019
"Best-of-Many-Samples" Distribution Matching
"Best-of-Many-Samples" Distribution Matching
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
GANDRL
101
4
0
27 Sep 2019
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image
  Datasets via RGBD Image Synthesis
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image SynthesisInternational Conference on Learning Representations (ICLR), 2019
Atsuhiro Noguchi
Tatsuya Harada
GAN
150
30
0
27 Sep 2019
Adversarial Deep Embedded Clustering: on a better trade-off between
  Feature Randomness and Feature Drift
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature DriftIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
122
57
0
26 Sep 2019
High Fidelity Speech Synthesis with Adversarial Networks
High Fidelity Speech Synthesis with Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2019
Mikolaj Binkowski
Jeff Donahue
Sander Dieleman
Aidan Clark
Erich Elsen
Norman Casagrande
Luis C. Cobo
Karen Simonyan
619
260
0
25 Sep 2019
Deep Learning for Deepfakes Creation and Detection: A Survey
Deep Learning for Deepfakes Creation and Detection: A SurveyComputer Vision and Image Understanding (CVIU), 2019
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Nguyen
D. Nguyen
Thien Huynh-The
S. Nahavandi
Thanh Tam Nguyen
Quoc-Viet Pham
Cu Nguyen
309
529
0
25 Sep 2019
Conditional Transferring Features: Scaling GANs to Thousands of Classes
  with 30% Less High-quality Data for Training
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for TrainingIEEE International Joint Conference on Neural Network (IJCNN), 2019
Chunpeng Wu
W. Wen
Yiran Chen
Xue Yang
GAN
167
2
0
25 Sep 2019
Subsampling Generative Adversarial Networks: Density Ratio Estimation in
  Feature Space with Softplus Loss
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus LossIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Xin Ding
Z. Jane Wang
William J. Welch
332
20
0
24 Sep 2019
A Characteristic Function Approach to Deep Implicit Generative Modeling
A Characteristic Function Approach to Deep Implicit Generative ModelingComputer Vision and Pattern Recognition (CVPR), 2019
Abdul Fatir Ansari
Jonathan Scarlett
Harold Soh
VLMGAN
151
44
0
16 Sep 2019
Coupling Rendering and Generative Adversarial Networks for Artificial
  SAS Image Generation
Coupling Rendering and Generative Adversarial Networks for Artificial SAS Image Generation
Albert W. Reed
Isaac D. Gerg
John McKay
Daniel C. Brown
David P. Williams
Suren Jayasuriya
GAN
75
16
0
13 Sep 2019
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
DeepPrivacy: A Generative Adversarial Network for Face AnonymizationInternational Symposium on Visual Computing (ISVC), 2019
Håkon Hukkelås
Rudolf Mester
Frank Lindseth
PICVCVBM
181
275
0
10 Sep 2019
Inducing Hierarchical Compositional Model by Sparsifying Generator
  Network
Inducing Hierarchical Compositional Model by Sparsifying Generator Network
X. Xing
Tianfu Wu
Song-Chun Zhu
Ying Nian Wu
OCL
113
0
0
10 Sep 2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative
  Models
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models
Dingfan Chen
Ning Yu
Yang Zhang
Mario Fritz
198
52
0
09 Sep 2019
An Acceleration Framework for High Resolution Image Synthesis
An Acceleration Framework for High Resolution Image Synthesis
Jinlin Liu
Xingtai Lv
Jianqiang Ren
84
10
0
09 Sep 2019
MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE
  networks for multi-track symbolic music generation
MIDI-Sandwich2: RNN-based Hierarchical Multi-modal Fusion Generation VAE networks for multi-track symbolic music generation
X. Liang
Junmin Wu
Jing Cao
MGen
776
20
0
08 Sep 2019
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