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InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

12 June 2016
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
    GAN
ArXiv (abs)PDFHTML

Papers citing "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

50 / 1,937 papers shown
Generative Adversarial Networks with Inverse Transformation Unit
Generative Adversarial Networks with Inverse Transformation Unit
Zhifeng Kong
Shuo Ding
GAN
98
0
0
27 Sep 2017
On the regularization of Wasserstein GANs
On the regularization of Wasserstein GANs
Henning Petzka
Asja Fischer
Denis Lukovnikov
GAN
281
220
0
26 Sep 2017
Unsupervised Learning of Disentangled and Interpretable Representations
  from Sequential Data
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu
Yu Zhang
James R. Glass
BDLSSL
216
368
0
22 Sep 2017
OptionGAN: Learning Joint Reward-Policy Options using Generative
  Adversarial Inverse Reinforcement Learning
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
Peter Henderson
Wei-Di Chang
Pierre-Luc Bacon
David Meger
Joelle Pineau
Doina Precup
GAN
152
76
0
20 Sep 2017
Embedding Deep Networks into Visual Explanations
Embedding Deep Networks into Visual Explanations
Chen Ma
Saeed Khorram
Fuxin Li
298
30
0
15 Sep 2017
ExprGAN: Facial Expression Editing with Controllable Expression
  Intensity
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
Hui Ding
K. Sricharan
Rama Chellappa
GANCVBM
257
211
0
12 Sep 2017
Learning Graph Topological Features via GAN
Learning Graph Topological Features via GAN
Weiyi Liu
Hal Cooper
Min Hwan Oh
Fucai Yu
Pin-Yu Chen
Toyotaro Suzumura
Guangmin Hu
GANAI4CE
333
26
0
11 Sep 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial
  Training
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu
Christopher Snyder
A. Dimakis
S. Vishwanath
GANOOD
409
283
0
06 Sep 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution
  Matching
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Chunyuan Li
Hao Liu
Changyou Chen
Yunchen Pu
Liqun Chen
Ricardo Henao
Lawrence Carin
GANFedML
174
226
0
05 Sep 2017
Training Shallow and Thin Networks for Acceleration via Knowledge
  Distillation with Conditional Adversarial Networks
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks
Zheng Xu
Yen-Chang Hsu
Jiawei Huang
GAN
288
12
0
02 Sep 2017
PassGAN: A Deep Learning Approach for Password Guessing
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj
Paolo Gasti
G. Ateniese
Fernando Perez-Cruz
GAN
248
286
0
01 Sep 2017
A Two-Step Disentanglement Method
A Two-Step Disentanglement Method
Naama Hadad
Lior Wolf
Shimon Shahar
175
83
0
01 Sep 2017
The Role of Minimal Complexity Functions in Unsupervised Learning of
  Semantic Mappings
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
Tomer Galanti
Lior Wolf
Sagie Benaim
269
25
0
31 Aug 2017
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
W. Tan
Chee Seng Chan
H. Aguirre
Kiyoshi Tanaka
GAN
144
2
0
31 Aug 2017
3D Object Reconstruction from a Single Depth View with Adversarial
  Learning
3D Object Reconstruction from a Single Depth View with Adversarial Learning
Bo Yang
Hongkai Wen
Sen Wang
R. Clark
Andrew Markham
A. Trigoni
GAN
189
206
0
26 Aug 2017
PixelNN: Example-based Image Synthesis
PixelNN: Example-based Image Synthesis
Aayush Bansal
Yaser Sheikh
Deva Ramanan
3DVGAN
174
47
0
17 Aug 2017
Geometric Enclosing Networks
Geometric Enclosing NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2017
Trung Le
H. Vu
T. Nguyen
Dinh Q. Phung
117
9
0
16 Aug 2017
GANs for Biological Image Synthesis
GANs for Biological Image SynthesisIEEE International Conference on Computer Vision (ICCV), 2017
A. Osokin
A. Chessel
R. Carazo-Salas
F. Vaggi
GAN
147
108
0
15 Aug 2017
Neural Expectation Maximization
Neural Expectation MaximizationNeural Information Processing Systems (NeurIPS), 2017
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
425
296
0
11 Aug 2017
Binary Generative Adversarial Networks for Image Retrieval
Binary Generative Adversarial Networks for Image RetrievalAAAI Conference on Artificial Intelligence (AAAI), 2017
Jingkuan Song
GAN
221
198
0
08 Aug 2017
Image Quality Assessment Techniques Show Improved Training and
  Evaluation of Autoencoder Generative Adversarial Networks
Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks
Michael O. Vertolli
J. Davies
GAN
80
7
0
06 Aug 2017
Controllable Generative Adversarial Network
Controllable Generative Adversarial Network
Minhyeok Lee
Junhee Seok
GAN
231
87
0
02 Aug 2017
Unsupervised Visual Attribute Transfer with Reconfigurable Generative
  Adversarial Networks
Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks
Taeksoo Kim
Byoungjip Kim
Moonsu Cha
Jiwon Kim
GAN
171
41
0
31 Jul 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
I. Higgins
Arka Pal
Andrei A. Rusu
Loic Matthey
Christopher P. Burgess
Alexander Pritzel
M. Botvinick
Charles Blundell
Alexander Lerchner
DRL
325
437
0
26 Jul 2017
Linear Discriminant Generative Adversarial Networks
Linear Discriminant Generative Adversarial Networks
Zhun Sun
Mete Ozay
Takayuki Okatani
GAN
91
1
0
25 Jul 2017
Semantic Image Synthesis via Adversarial Learning
Semantic Image Synthesis via Adversarial Learning
Hao Dong
Simiao Yu
Chao Wu
Wenhan Luo
GAN
192
275
0
21 Jul 2017
Can GAN Learn Topological Features of a Graph?
Can GAN Learn Topological Features of a Graph?
Weiyi Liu
Pin-Yu Chen
H. Cooper
Min Hwan Oh
S. Yeung
Toyotaro Suzumura
149
8
0
19 Jul 2017
The Devil is in the Decoder: Classification, Regression and GANs
The Devil is in the Decoder: Classification, Regression and GANs
Z. Wojna
V. Ferrari
S. Guadarrama
N. Silberman
Liang-Chieh Chen
Alireza Fathi
J. Uijlings
233
95
0
18 Jul 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yuan Liu
Xiaodong Yang
Jan Kautz
GAN
477
1,252
0
17 Jul 2017
Guiding InfoGAN with Semi-Supervision
Guiding InfoGAN with Semi-Supervision
Adrian Spurr
Emre Aksan
Otmar Hilliges
GAN
184
47
0
14 Jul 2017
f-GANs in an Information Geometric Nutshell
f-GANs in an Information Geometric Nutshell
Richard Nock
Zac Cranko
A. Menon
Zhuang Li
Robert C. Williamson
170
28
0
14 Jul 2017
Skeleton-aided Articulated Motion Generation
Skeleton-aided Articulated Motion Generation
Manwen Liao
Jingwei Xu
Bingbing Ni
Xiaokang Yang
3DH
142
91
0
04 Jul 2017
Perceptual Adversarial Networks for Image-to-Image Transformation
Perceptual Adversarial Networks for Image-to-Image Transformation
Chaoyue Wang
Chang Xu
Chaohui Wang
Dacheng Tao
GAN
177
383
0
28 Jun 2017
Unsupervised Learning via Total Correlation Explanation
Unsupervised Learning via Total Correlation Explanation
Greg Ver Steeg
SSLDRLLRM
168
18
0
27 Jun 2017
Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis
Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis
Pengyuan Lyu
X. Bai
Cong Yao
Zhen Zhu
Tengteng Huang
Wenyu Liu
GAN
181
142
0
27 Jun 2017
Dualing GANs
Dualing GANs
Yujia Li
Alex Schwing
Kuan-Chieh Wang
R. Zemel
GAN
108
21
0
19 Jun 2017
Bayesian Conditional Generative Adverserial Networks
Bayesian Conditional Generative Adverserial Networks
Ehsan Abbasnejad
Javen Qinfeng Shi
Iman Abbasnejad
Anton Van Den Hengel
A. Dick
GAN
151
13
0
17 Jun 2017
Towards Grounding Conceptual Spaces in Neural Representations
Towards Grounding Conceptual Spaces in Neural Representations
Lucas Bechberger
Kai-Uwe Kühnberger
GAN
179
6
0
15 Jun 2017
Adversarial Feature Matching for Text Generation
Adversarial Feature Matching for Text GenerationInternational Conference on Machine Learning (ICML), 2017
Yizhe Zhang
Zhe Gan
Kai Fan
Zhi Chen
Ricardo Henao
Dinghan Shen
Lawrence Carin
GAN
237
349
0
12 Jun 2017
Channel-Recurrent Autoencoding for Image Modeling
Channel-Recurrent Autoencoding for Image Modeling
Wenling Shang
Kihyuk Sohn
Yuandong Tian
DRLGAN
154
3
0
12 Jun 2017
Generate Identity-Preserving Faces by Generative Adversarial Networks
Generate Identity-Preserving Faces by Generative Adversarial Networks
Zhigang Li
Yuping Luo
GANCVBM
101
12
0
10 Jun 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional
  GANs
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
Cristóbal Esteban
Stephanie L. Hyland
Gunnar Rätsch
GANSyDaMedIm
346
903
0
08 Jun 2017
InfoVAE: Information Maximizing Variational Autoencoders
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
451
474
0
07 Jun 2017
Synthesizing Filamentary Structured Images with GANs
Synthesizing Filamentary Structured Images with GANs
He Zhao
Huiqi Li
Li Cheng
GANMedIm
110
28
0
07 Jun 2017
Generative-Discriminative Variational Model for Visual Recognition
Generative-Discriminative Variational Model for Visual Recognition
Chih-Kuan Yeh
Yifan Hao
Y. Wang
VLM
110
2
0
07 Jun 2017
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
DeLiGAN : Generative Adversarial Networks for Diverse and Limited DataComputer Vision and Pattern Recognition (CVPR), 2017
Swaminathan Gurumurthy
Ravi Kiran Sarvadevabhatla
R. Venkatesh Babu
GAN
212
293
0
07 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative ModelsInternational Conference on Learning Representations (ICLR), 2017
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
DRLGAN
428
128
0
02 Jun 2017
PixelGAN Autoencoders
PixelGAN AutoencodersNeural Information Processing Systems (NeurIPS), 2017
Alireza Makhzani
Brendan J. Frey
GAN
187
102
0
02 Jun 2017
Fader Networks: Manipulating Images by Sliding Attributes
Fader Networks: Manipulating Images by Sliding AttributesNeural Information Processing Systems (NeurIPS), 2017
Guillaume Lample
Neil Zeghidour
Nicolas Usunier
Antoine Bordes
Ludovic Denoyer
MarcÁurelio Ranzato
DRLGAN
350
557
0
01 Jun 2017
Depth Structure Preserving Scene Image GenerationACM Multimedia (ACM MM), 2017
Wendong Zhang
Bingbing Ni
Manwen Liao
Jingwei Xu
Xiaokang Yang
GAN
153
4
0
01 Jun 2017
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