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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 / 1,072 papers shown
Title
Pre-train and Plug-in: Flexible Conditional Text Generation with
  Variational Auto-Encoders
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Yu Duan
Canwen Xu
Jiaxin Pei
Jialong Han
Chenliang Li
18
42
0
10 Nov 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural
  Networks
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas
Arkanath Pathak
Harini Kannan
D. Erhan
Quoc V. Le
Honglak Lee
VGen
22
136
0
05 Nov 2019
Can adversarial training learn image captioning ?
Can adversarial training learn image captioning ?
Jean-Benoit Delbrouck
Bastien Vanderplaetse
Stéphane Dupont
GAN
VLM
34
1
0
31 Oct 2019
Cross-Domain Face Synthesis using a Controllable GAN
Cross-Domain Face Synthesis using a Controllable GAN
F. Mokhayeri
K. Kamali
Eric Granger
CVBM
25
17
0
31 Oct 2019
Small-GAN: Speeding Up GAN Training Using Core-sets
Small-GAN: Speeding Up GAN Training Using Core-sets
Samarth Sinha
Hang Zhang
Anirudh Goyal
Yoshua Bengio
Hugo Larochelle
Augustus Odena
GAN
35
72
0
29 Oct 2019
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Tobias Hinz
Stefan Heinrich
S. Wermter
EGVM
24
158
0
29 Oct 2019
Highly-scalable, physics-informed GANs for learning solutions of
  stochastic PDEs
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
Liu Yang
Sean Treichler
Thorsten Kurth
Keno Fischer
D. Barajas-Solano
...
Valentin Churavy
A. Tartakovsky
Michael Houston
P. Prabhat
George Karniadakis
AI4CE
47
37
0
29 Oct 2019
Few-shot Video-to-Video Synthesis
Few-shot Video-to-Video Synthesis
Ting-Chun Wang
Ming-Yu Liu
Andrew Tao
Guilin Liu
Jan Kautz
Bryan Catanzaro
DiffM
VGen
39
367
0
28 Oct 2019
Consistency Regularization for Generative Adversarial Networks
Consistency Regularization for Generative Adversarial Networks
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
GAN
20
284
0
26 Oct 2019
Fair Generative Modeling via Weak Supervision
Fair Generative Modeling via Weak Supervision
Kristy Choi
Aditya Grover
Trisha Singh
Rui Shu
Stefano Ermon
33
134
0
26 Oct 2019
Data Augmentation for Skin Lesion using Self-Attention based Progressive
  Generative Adversarial Network
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network
Ibrahim Saad Ali
Mamdouh Farouk Mohamed
Y. B. Mahdy
GAN
MedIm
20
119
0
25 Oct 2019
Study of Deep Generative Models for Inorganic Chemical Compositions
Study of Deep Generative Models for Inorganic Chemical Compositions
Yoshihide Sawada
Koji Morikawa
Mikiya Fujii
GAN
20
13
0
25 Oct 2019
Seeing What a GAN Cannot Generate
Seeing What a GAN Cannot Generate
David Bau
Jun-Yan Zhu
Jonas Wulff
William S. Peebles
Hendrik Strobelt
Bolei Zhou
Antonio Torralba
GAN
48
308
0
24 Oct 2019
Bridging the Gap Between $f$-GANs and Wasserstein GANs
Bridging the Gap Between fff-GANs and Wasserstein GANs
Jiaming Song
Stefano Ermon
8
40
0
22 Oct 2019
Semi-supervised Learning using Adversarial Training with Good and Bad
  Samples
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
Wenyuan Li
Zichen Wang
Yuguang Yue
Jiayun Li
W. Speier
Mingyuan Zhou
C. Arnold
GAN
11
22
0
18 Oct 2019
Optimal Transport Based Generative Autoencoders
Optimal Transport Based Generative Autoencoders
Oliver Zhang
Ruei-Sung Lin
Yuchuan Gou
GAN
DRL
19
2
0
16 Oct 2019
Generative Modeling for Small-Data Object Detection
Generative Modeling for Small-Data Object Detection
Lanlan Liu
Michael Muelly
Jia Deng
Tomas Pfister
Li-Jia Li
ObjD
MedIm
27
63
0
16 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 Synthesis
Xihui Liu
Guojun Yin
Jing Shao
Xiaogang Wang
Hongsheng Li
34
205
0
15 Oct 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GAN
DRL
21
61
0
09 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
22
3
0
06 Oct 2019
Incremental learning for the detection and classification of
  GAN-generated images
Incremental learning for the detection and classification of GAN-generated images
Francesco Marra
Cristiano Saltori
G. Boato
Luisa Verdoliva
21
129
0
03 Oct 2019
Task-Relevant Adversarial Imitation Learning
Task-Relevant Adversarial Imitation Learning
Konrad Zolna
Scott E. Reed
Alexander Novikov
Sergio Gomez Colmenarejo
David Budden
Serkan Cabi
Misha Denil
Nando de Freitas
Ziyun Wang
GAN
20
61
0
02 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
29
83
0
30 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 Synthesis
Atsuhiro Noguchi
Tatsuya Harada
GAN
37
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 Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
19
53
0
26 Sep 2019
High Fidelity Speech Synthesis with Adversarial Networks
High Fidelity Speech Synthesis with Adversarial Networks
Mikolaj Binkowski
Jeff Donahue
Sander Dieleman
Aidan Clark
Erich Elsen
Norman Casagrande
Luis C. Cobo
Karen Simonyan
226
239
0
25 Sep 2019
Deep Learning for Deepfakes Creation and Detection: A Survey
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Nguyen
D. Nguyen
Thien Huynh-The
S. Nahavandi
Thanh Tam Nguyen
Viet Quoc Pham
Cu Nguyen
31
433
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 Training
Chunpeng Wu
W. Wen
Yiran Chen
H. Li
GAN
24
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 Loss
Xin Ding
Z. Jane Wang
William J. Welch
19
18
0
24 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann
Louis Maestrati
Yoshihide Sawada
Jian Tang
Jean Michel D. Sellier
Yoshua Bengio
DiffM
3DV
17
66
0
03 Sep 2019
Spectral Regularization for Combating Mode Collapse in GANs
Spectral Regularization for Combating Mode Collapse in GANs
Kanglin Liu
Wenming Tang
Fei Zhou
Guoping Qiu
GAN
DRL
30
81
0
29 Aug 2019
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
Haoliang Sun
Ronak R. Mehta
H. Zhou
Z. Huang
Sterling C. Johnson
V. Prabhakaran
Vikas Singh
MedIm
31
46
0
21 Aug 2019
Image Synthesis From Reconfigurable Layout and Style
Image Synthesis From Reconfigurable Layout and Style
Wei Sun
Tianfu Wu
27
140
0
20 Aug 2019
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Make a Face: Towards Arbitrary High Fidelity Face Manipulation
Shengju Qian
Kwan-Yee Lin
Wayne Wu
Yangxiaokang Liu
Quan Wang
Fumin Shen
Chao Qian
Ran He
CVBM
24
71
0
20 Aug 2019
Build it Break it Fix it for Dialogue Safety: Robustness from
  Adversarial Human Attack
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
Emily Dinan
Samuel Humeau
Bharath Chintagunta
Jason Weston
16
243
0
17 Aug 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for
  Multi-Modal Data Distributions
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
Jogendra Nath Kundu
Maharshi Gor
Dakshit Agrawal
R. Venkatesh Babu
GAN
22
11
0
11 Aug 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong
Shiyu Chang
Yi Ding
Zhangyang Wang
GAN
35
263
0
11 Aug 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
S. Hoi
VLM
ObjD
32
794
0
10 Aug 2019
Attentive Normalization
Attentive Normalization
Xilai Li
Wei Sun
Tianfu Wu
OOD
ViT
28
31
0
04 Aug 2019
Hard-Aware Fashion Attribute Classification
Hard-Aware Fashion Attribute Classification
Yun Ye
Yixin Li
Bo Wu
Wei Zhang
Lingyu Duan
Tao Mei
AI4TS
27
5
0
25 Jul 2019
Bayesian Inference with Generative Adversarial Network Priors
Bayesian Inference with Generative Adversarial Network Priors
Dhruv V. Patel
Assad A. Oberai
GAN
AI4CE
25
17
0
22 Jul 2019
Quant GANs: Deep Generation of Financial Time Series
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GAN
AI4TS
AIFin
22
273
0
15 Jul 2019
Adversarial Video Generation on Complex Datasets
Adversarial Video Generation on Complex Datasets
Aidan Clark
Jeff Donahue
Karen Simonyan
VGen
GAN
27
74
0
15 Jul 2019
Copula & Marginal Flows: Disentangling the Marginal from its Joint
Copula & Marginal Flows: Disentangling the Marginal from its Joint
Magnus Wiese
R. Knobloch
R. Korn
DRL
13
21
0
07 Jul 2019
Fast and Provable ADMM for Learning with Generative Priors
Fast and Provable ADMM for Learning with Generative Priors
Fabian Latorre Gómez
Armin Eftekhari
V. Cevher
GAN
30
43
0
07 Jul 2019
Human detection of machine manipulated media
Human detection of machine manipulated media
Matthew Groh
Ziv Epstein
Nick Obradovich
Manuel Cebrian
Iyad Rahwan
14
21
0
06 Jul 2019
Twin Auxiliary Classifiers GAN
Twin Auxiliary Classifiers GAN
Biwei Huang
Yanwu Xu
Chunyuan Li
Kuncai Zhang
Kayhan Batmanghelich
16
33
0
05 Jul 2019
Evaluating the distribution learning capabilities of GANs
Evaluating the distribution learning capabilities of GANs
Amit Rege
C. Monteleoni
EGVM
19
0
0
05 Jul 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
60
542
0
04 Jul 2019
PathologyGAN: Learning deep representations of cancer tissue
PathologyGAN: Learning deep representations of cancer tissue
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
MedIm
GAN
9
85
0
04 Jul 2019
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