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MIXGAN: Learning Concepts from Different Domains for Mixture Generation

MIXGAN: Learning Concepts from Different Domains for Mixture Generation

4 July 2018
Guang-Yuan Hao
Hong-Xing Yu
Weishi Zheng
    GAN
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Papers citing "MIXGAN: Learning Concepts from Different Domains for Mixture Generation"

28 / 28 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
192
30,069
0
01 Mar 2022
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
103
3,547
0
24 Nov 2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Zili Yi
Hao Zhang
P. Tan
Minglun Gong
GAN
VLM
103
1,940
0
08 Apr 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
95
1,153
0
31 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial
  Networks
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim
Moonsu Cha
Hyunsoo Kim
Jung Kwon Lee
Jiwon Kim
GAN
OOD
80
1,979
0
15 Mar 2017
Unsupervised Image-to-Image Translation Networks
Unsupervised Image-to-Image Translation Networks
Ming-Yuan Liu
Thomas Breuel
Jan Kautz
VLM
131
2,731
0
02 Mar 2017
Unsupervised Image-to-Image Translation with Generative Adversarial
  Networks
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
Hao Dong
Paarth Neekhara
Chao Wu
Yike Guo
GAN
73
88
0
10 Jan 2017
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Patsorn Sangkloy
Jingwan Lu
Chen Fang
Feng Yu
James Hays
GAN
DiffM
60
498
0
02 Dec 2016
Learning to Generate Images of Outdoor Scenes from Attributes and
  Semantic Layouts
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Levent Karacan
Zeynep Akata
Aykut Erdem
Erkut Erdem
GAN
63
186
0
01 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
300
19,560
0
21 Nov 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
271
4,554
0
13 Nov 2016
Unsupervised Cross-Domain Image Generation
Unsupervised Cross-Domain Image Generation
Yaniv Taigman
Adam Polyak
Lior Wolf
GAN
OOD
77
999
0
07 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
386
3,204
0
30 Oct 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
61
1,395
0
12 Sep 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OOD
GAN
75
1,626
0
24 Jun 2016
Preserving Color in Neural Artistic Style Transfer
Preserving Color in Neural Artistic Style Transfer
Leon A. Gatys
Matthias Bethge
Aaron Hertzmann
Eli Shechtman
GAN
55
141
0
19 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
409
8,999
0
10 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
397
37,704
0
20 May 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
118
3,527
0
28 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
194
10,202
0
27 Mar 2016
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
34
315
0
24 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
Xinyu Wang
Abhinav Gupta
GAN
103
618
0
17 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
54
946
0
10 Mar 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
234
13,968
0
19 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
74
2,224
0
18 Nov 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
93
3,479
0
24 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
160
2,674
0
18 Nov 2014
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