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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 / 1,075 papers shown
Title
Capsule GAN Using Capsule Network for Generator Architecture
Capsule GAN Using Capsule Network for Generator Architecture
Kanako Marusaki
Hiroshi Watanabe
GAN
16
5
0
18 Mar 2020
Semantic Pyramid for Image Generation
Semantic Pyramid for Image Generation
Assaf Shocher
Yossi Gandelsman
Inbar Mosseri
Michal Yarom
Michal Irani
William T. Freeman
Tali Dekel
GAN
28
55
0
13 Mar 2020
Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses
R. Wu
Gongjie Zhang
Shijian Lu
Tao Chen
CVBM
26
95
0
12 Mar 2020
$Π-$nets: Deep Polynomial Neural Networks
Π−Π-Π−nets: Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Yannis Panagakis
Jiankang Deng
S. Zafeiriou
29
58
0
08 Mar 2020
SketchyCOCO: Image Generation from Freehand Scene Sketches
SketchyCOCO: Image Generation from Freehand Scene Sketches
Chengying Gao
Qi Liu
Qi Xu
Limin Wang
Jianzhuang Liu
C. Zou
26
115
0
05 Mar 2020
GANwriting: Content-Conditioned Generation of Styled Handwritten Word
  Images
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images
Lei Kang
Pau Riba
Yaxing Wang
Marçal Rusiñol
Alicia Fornés
M. Villegas
DiffM
GAN
24
77
0
05 Mar 2020
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured
  2D Data
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data
Sebastian Lunz
Yingzhen Li
Andrew Fitzgibbon
Nate Kushman
3DV
GAN
17
54
0
28 Feb 2020
A U-Net Based Discriminator for Generative Adversarial Networks
A U-Net Based Discriminator for Generative Adversarial Networks
Edgar Schönfeld
Bernt Schiele
Anna Khoreva
GAN
30
291
0
28 Feb 2020
On Leveraging Pretrained GANs for Generation with Limited Data
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao
Yulai Cong
Lawrence Carin
34
21
0
26 Feb 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic
  Attributes with Applications to Anomaly Detection
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection
William Paul
I-J. Wang
F. Alajaji
Philippe Burlina
DiffM
DRL
21
6
0
25 Feb 2020
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo
Minsu Cho
Jinwoo Shin
30
212
0
25 Feb 2020
GANs May Have No Nash Equilibria
GANs May Have No Nash Equilibria
Farzan Farnia
Asuman Ozdaglar
GAN
28
43
0
21 Feb 2020
Amplifying The Uncanny
Amplifying The Uncanny
Terence Broad
F. Leymarie
M. Grierson
26
14
0
17 Feb 2020
Generator From Edges: Reconstruction of Facial Images
Generator From Edges: Reconstruction of Facial Images
Nao Takano
G. Alaghband
GAN
33
1
0
16 Feb 2020
Real or Not Real, that is the Question
Real or Not Real, that is the Question
Yuanbo Xiangli
Yubin Deng
Bo Dai
Chen Change Loy
Dahua Lin
GAN
76
47
0
12 Feb 2020
Targeted free energy estimation via learned mappings
Targeted free energy estimation via learned mappings
Peter Wirnsberger
A. J. Ballard
George Papamakarios
Stuart Abercrombie
S. Racanière
Alexander Pritzel
Danilo Jimenez Rezende
Charles Blundell
27
86
0
12 Feb 2020
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
32
153
0
11 Feb 2020
Smoothness and Stability in GANs
Smoothness and Stability in GANs
Casey Chu
Kentaro Minami
Kenji Fukumizu
GAN
24
56
0
11 Feb 2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent
  Space
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
A. Voynov
Artem Babenko
55
417
0
10 Feb 2020
On the distance between two neural networks and the stability of
  learning
On the distance between two neural networks and the stability of learning
Jeremy Bernstein
Arash Vahdat
Yisong Yue
Xuan Li
ODL
200
57
0
09 Feb 2020
Subspace Capsule Network
Subspace Capsule Network
Marzieh Edraki
Nazanin Rahnavard
M. Shah
19
35
0
07 Feb 2020
On Positive-Unlabeled Classification in GAN
On Positive-Unlabeled Classification in GAN
Tianyu Guo
Chang Xu
Jiajun Huang
Yunhe Wang
Boxin Shi
Chao Xu
Dacheng Tao
GAN
18
35
0
04 Feb 2020
Controlling generative models with continuous factors of variations
Controlling generative models with continuous factors of variations
Antoine Plumerault
Hervé Le Borgne
C´eline Hudelot
DRL
30
126
0
28 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
818
0
20 Jan 2020
A GAN-based Tunable Image Compression System
A GAN-based Tunable Image Compression System
Lirong Wu
Kejie Huang
Haibin Shen
GAN
19
42
0
18 Jan 2020
Fine-grained Image-to-Image Transformation towards Visual Recognition
Fine-grained Image-to-Image Transformation towards Visual Recognition
Wei Xiong
Yutong He
Yixuan Zhang
Wenhan Luo
Lin Ma
Jiebo Luo
CVBM
30
26
0
12 Jan 2020
Model Inversion Networks for Model-Based Optimization
Model Inversion Networks for Model-Based Optimization
Aviral Kumar
Sergey Levine
OffRL
24
93
0
31 Dec 2019
Semi-Supervised Learning with Normalizing Flows
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov
Polina Kirichenko
Marc Finzi
A. Wilson
DRL
BDL
25
111
0
30 Dec 2019
Local Class-Specific and Global Image-Level Generative Adversarial
  Networks for Semantic-Guided Scene Generation
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Hao Tang
Dan Xu
Yan Yan
Philip Torr
N. Sebe
GAN
23
141
0
27 Dec 2019
Towards Better Understanding of Adaptive Gradient Algorithms in
  Generative Adversarial Nets
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
Mingrui Liu
Youssef Mroueh
Jerret Ross
Wei Zhang
Xiaodong Cui
Payel Das
Tianbao Yang
ODL
35
63
0
26 Dec 2019
Effective Data Augmentation with Multi-Domain Learning GANs
Effective Data Augmentation with Multi-Domain Learning GANs
Shinýa Yamaguchi
Sekitoshi Kanai
Takeharu Eda
24
27
0
25 Dec 2019
CNN-generated images are surprisingly easy to spot... for now
CNN-generated images are surprisingly easy to spot... for now
Sheng-Yu Wang
Oliver Wang
Richard Y. Zhang
Andrew Owens
Alexei A. Efros
OOD
49
943
0
23 Dec 2019
Deep Automodulators
Deep Automodulators
Ari Heljakka
Wenshuai Zhao
Arno Solin
Arno Solin
31
5
0
21 Dec 2019
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
31
41
0
20 Dec 2019
Adversarial Representation Active Learning
Adversarial Representation Active Learning
A. Mottaghi
Serena Yeung
VLM
GAN
25
29
0
20 Dec 2019
Optimization for deep learning: theory and algorithms
Optimization for deep learning: theory and algorithms
Ruoyu Sun
ODL
19
168
0
19 Dec 2019
Lower Dimensional Kernels for Video Discriminators
Lower Dimensional Kernels for Video Discriminators
Emmanuel Kahembwe
S. Ramamoorthy
21
50
0
18 Dec 2019
SynSin: End-to-end View Synthesis from a Single Image
SynSin: End-to-end View Synthesis from a Single Image
Olivia Wiles
Georgia Gkioxari
Richard Szeliski
Justin Johnson
3DV
41
467
0
18 Dec 2019
Unsupervised Adversarial Image Inpainting
Unsupervised Adversarial Image Inpainting
Arthur Pajot
Emmanuel de Bézenac
Patrick Gallinari
SSL
GAN
6
8
0
18 Dec 2019
Image Processing Using Multi-Code GAN Prior
Image Processing Using Multi-Code GAN Prior
Jinjin Gu
Yujun Shen
Bolei Zhou
GAN
30
314
0
15 Dec 2019
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
A. Z. Zhu
ZiYun Wang
Kaung Khant
Kostas Daniilidis
GAN
33
44
0
03 Dec 2019
Orthogonal Wasserstein GANs
Orthogonal Wasserstein GANs
J. Müller
Reinhard Klein
Michael Weinmann
45
9
0
29 Nov 2019
Class-Conditional VAE-GAN for Local-Ancestry Simulation
Class-Conditional VAE-GAN for Local-Ancestry Simulation
D. M. Montserrat
C. Bustamante
A. Ioannidis
14
19
0
27 Nov 2019
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for
  Generative Models
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
Giannis Daras
Augustus Odena
Han Zhang
A. Dimakis
35
54
0
27 Nov 2019
Image2StyleGAN++: How to Edit the Embedded Images?
Image2StyleGAN++: How to Edit the Embedded Images?
Rameen Abdal
Yipeng Qin
Peter Wonka
28
553
0
26 Nov 2019
Semantic Bottleneck Scene Generation
Semantic Bottleneck Scene Generation
S. Azadi
Michael Tschannen
Eric Tzeng
Sylvain Gelly
Trevor Darrell
Mario Lucic
21
29
0
26 Nov 2019
Invert and Defend: Model-based Approximate Inversion of Generative
  Adversarial Networks for Secure Inference
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Wei-An Lin
Yogesh Balaji
Pouya Samangouei
Rama Chellappa
33
6
0
23 Nov 2019
Semantic Hierarchy Emerges in Deep Generative Representations for Scene
  Synthesis
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
Ceyuan Yang
Yujun Shen
Bolei Zhou
GAN
35
201
0
21 Nov 2019
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
Amirata Ghorbani
Vivek Natarajan
David Coz
Yuan Liu
GAN
MedIm
21
98
0
20 Nov 2019
MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen
  Targets
MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets
S. Ha
Martin Kersner
Beomsu Kim
Seokjun Seo
Dongyoung Kim
CVBM
22
163
0
19 Nov 2019
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