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Mode Regularized Generative Adversarial Networks

Mode Regularized Generative Adversarial Networks

7 December 2016
Tong Che
Yanran Li
Athul Paul Jacob
Yoshua Bengio
Wenjie Li
    GAN
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Papers citing "Mode Regularized Generative Adversarial Networks"

50 / 281 papers shown
Title
On-line Adaptative Curriculum Learning for GANs
On-line Adaptative Curriculum Learning for GANs
T. Doan
João Monteiro
Isabela Albuquerque
Bogdan Mazoure
A. Durand
Joelle Pineau
R. Devon Hjelm
17
42
0
31 Jul 2018
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
Gonçalo Mordido
Haojin Yang
Christoph Meinel
SyDa
21
49
0
30 Jul 2018
A Style-Aware Content Loss for Real-time HD Style Transfer
A Style-Aware Content Loss for Real-time HD Style Transfer
A. Sanakoyeu
Dmytro Kotovenko
Sabine Lang
Bjorn Ommer
17
215
0
26 Jul 2018
Understanding the Effectiveness of Lipschitz-Continuity in Generative
  Adversarial Nets
Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets
Zhiming Zhou
Yuxuan Song
Lantao Yu
Hongwei Wang
Jiadong Liang
Weinan Zhang
Zhihua Zhang
Yong Yu
GAN
14
9
0
02 Jul 2018
An empirical study on evaluation metrics of generative adversarial
  networks
An empirical study on evaluation metrics of generative adversarial networks
Qiantong Xu
Gao Huang
Yang Yuan
Chuan Guo
Yu Sun
Felix Wu
Kilian Q. Weinberger
EGVM
9
268
0
19 Jun 2018
Training Faster by Separating Modes of Variation in Batch-normalized
  Models
Training Faster by Separating Modes of Variation in Batch-normalized Models
Mahdi M. Kalayeh
M. Shah
19
42
0
07 Jun 2018
Importance Weighted Generative Networks
Importance Weighted Generative Networks
M. Diesendruck
Ethan R. Elenberg
Rajat Sen
G. W. Cole
Sanjay Shakkottai
Sinead Williamson
GAN
8
16
0
07 Jun 2018
Disconnected Manifold Learning for Generative Adversarial Networks
Disconnected Manifold Learning for Generative Adversarial Networks
Mahyar Khayatkhoei
Ahmed Elgammal
Maneesh Kumar Singh
GAN
14
76
0
03 Jun 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
6
3,692
0
21 May 2018
BourGAN: Generative Networks with Metric Embeddings
BourGAN: Generative Networks with Metric Embeddings
Chang Xiao
Peilin Zhong
Changxi Zheng
GAN
12
69
0
19 May 2018
Generative Adversarial Forests for Better Conditioned Adversarial
  Learning
Generative Adversarial Forests for Better Conditioned Adversarial Learning
Yan Zuo
Gil Avraham
Tom Drummond
GAN
AI4CE
11
8
0
14 May 2018
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
Xudong Mao
Qing Li
OOD
GAN
13
15
0
07 May 2018
CRAFT: Complementary Recommendations Using Adversarial Feature
  Transformer
CRAFT: Complementary Recommendations Using Adversarial Feature Transformer
C. P. Huynh
A. Ciptadi
A. Tyagi
Amit Agrawal
ViT
11
12
0
29 Apr 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training
MGGAN: Solving Mode Collapse using Manifold Guided Training
Duhyeon Bang
Hyunjung Shim
GAN
19
77
0
12 Apr 2018
Synchronous Adversarial Feature Learning for LiDAR based Loop Closure
  Detection
Synchronous Adversarial Feature Learning for LiDAR based Loop Closure Detection
Peng Yin
Yuqing He
Lingyun Xu
Yan Peng
Jianda Han
Weiliang Xu
6
9
0
05 Apr 2018
Generative Adversarial Networks (GANs): What it can generate and What it
  cannot?
Generative Adversarial Networks (GANs): What it can generate and What it cannot?
P Manisha
Sujit Gujar
GAN
16
0
0
31 Mar 2018
Dist-GAN: An Improved GAN using Distance Constraints
Dist-GAN: An Improved GAN using Distance Constraints
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-man Cheung
DRL
GAN
13
91
0
23 Mar 2018
Fictitious GAN: Training GANs with Historical Models
Fictitious GAN: Training GANs with Historical Models
Hao Ge
Yin Xia
Xu Chen
R. Berry
Ying Nian Wu
AI4CE
GAN
17
29
0
23 Mar 2018
An Improved Evaluation Framework for Generative Adversarial Networks
An Improved Evaluation Framework for Generative Adversarial Networks
Shaohui Liu
Yi Wei
Jiwen Lu
Jie Zhou
EGVM
6
48
0
20 Mar 2018
An Introduction to Image Synthesis with Generative Adversarial Nets
An Introduction to Image Synthesis with Generative Adversarial Nets
He Huang
Philip S. Yu
Changhu Wang
GAN
19
184
0
12 Mar 2018
Cross-View Image Synthesis using Conditional GANs
Cross-View Image Synthesis using Conditional GANs
Krishna Regmi
Ali Borji
GAN
32
184
0
09 Mar 2018
Memorization Precedes Generation: Learning Unsupervised GANs with Memory
  Networks
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
Youngjin Kim
Minjung Kim
Gunhee Kim
GAN
10
40
0
05 Mar 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
11
69
0
02 Mar 2018
Post Selection Inference with Incomplete Maximum Mean Discrepancy
  Estimator
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
M. Yamada
Denny Wu
Yao-Hung Hubert Tsai
Ichiro Takeuchi
Ruslan Salakhutdinov
Kenji Fukumizu
39
20
0
17 Feb 2018
Selecting the Best in GANs Family: a Post Selection Inference Framework
Selecting the Best in GANs Family: a Post Selection Inference Framework
Yao-Hung Hubert Tsai
M. Yamada
Denny Wu
Ruslan Salakhutdinov
Ichiro Takeuchi
Kenji Fukumizu
EGVM
10
4
0
15 Feb 2018
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELM
EGVM
23
865
0
09 Feb 2018
Unsupervised Typography Transfer
Unsupervised Typography Transfer
Hanfei Sun
Yimin Luo
Ziang Lu
14
2
0
07 Feb 2018
Training Generative Adversarial Networks via Primal-Dual Subgradient
  Methods: A Lagrangian Perspective on GAN
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN
Xu Chen
Jiang Wang
Hao Ge
GAN
15
14
0
06 Feb 2018
Improved Training of Generative Adversarial Networks Using
  Representative Features
Improved Training of Generative Adversarial Networks Using Representative Features
Duhyeon Bang
Hyunjung Shim
GAN
22
33
0
28 Jan 2018
Composite Functional Gradient Learning of Generative Adversarial Models
Composite Functional Gradient Learning of Generative Adversarial Models
Rie Johnson
Tong Zhang
GAN
19
14
0
19 Jan 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
12
1,247
0
12 Jan 2018
A Note on the Inception Score
A Note on the Inception Score
Shane T. Barratt
Rishi Sharma
EGVM
20
681
0
06 Jan 2018
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs
  and GANs
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
Xing Di
Vishal M. Patel
CVBM
GAN
23
35
0
30 Dec 2017
On the Effectiveness of Least Squares Generative Adversarial Networks
On the Effectiveness of Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
8
160
0
18 Dec 2017
PacGAN: The power of two samples in generative adversarial networks
PacGAN: The power of two samples in generative adversarial networks
Zinan Lin
A. Khetan
Giulia Fanti
Sewoong Oh
GAN
14
331
0
12 Dec 2017
Stochastic reconstruction of an oolitic limestone by generative
  adversarial networks
Stochastic reconstruction of an oolitic limestone by generative adversarial networks
L. Mosser
O. Dubrule
M. Blunt
GAN
8
140
0
07 Dec 2017
Towards Recovery of Conditional Vectors from Conditional Generative
  Adversarial Networks
Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks
Sihao Ding
Andreas Wallin
GAN
14
3
0
06 Dec 2017
Compatibility Family Learning for Item Recommendation and Generation
Compatibility Family Learning for Item Recommendation and Generation
Yong-Siang Shih
Kai-Yueh Chang
Hsuan-Tien Lin
Min Sun
19
55
0
02 Dec 2017
Improving Video Generation for Multi-functional Applications
Improving Video Generation for Multi-functional Applications
Bernhard Kratzwald
Zhiwu Huang
D. Paudel
Acharya Dinesh
Luc Van Gool
DiffM
26
13
0
30 Nov 2017
Pulsar Candidate Identification with Artificial Intelligence Techniques
Pulsar Candidate Identification with Artificial Intelligence Techniques
Ping Guo
Fuqing Duan
Pei Wang
Yao Yao
Qian Yin
Xin Xin
18
14
0
27 Nov 2017
IVE-GAN: Invariant Encoding Generative Adversarial Networks
IVE-GAN: Invariant Encoding Generative Adversarial Networks
R. Winter
Djork-Arné Clevert
GAN
16
0
0
23 Nov 2017
How Generative Adversarial Networks and Their Variants Work: An Overview
How Generative Adversarial Networks and Their Variants Work: An Overview
Yongjun Hong
Uiwon Hwang
Jaeyoon Yoo
Sungroh Yoon
GAN
30
151
0
16 Nov 2017
TripletGAN: Training Generative Model with Triplet Loss
TripletGAN: Training Generative Model with Triplet Loss
Gongze Cao
Yezhou Yang
Jie Lei
Cheng Jin
Yang Liu
Mingli Song
GAN
13
9
0
14 Nov 2017
Flexible Prior Distributions for Deep Generative Models
Flexible Prior Distributions for Deep Generative Models
Yannic Kilcher
Aurélien Lucchi
Thomas Hofmann
AI4CE
14
1
0
31 Oct 2017
StackGAN++: Realistic Image Synthesis with Stacked Generative
  Adversarial Networks
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
24
1,048
0
19 Oct 2017
A Study of Cross-domain Generative Models applied to Cartoon Series
A Study of Cross-domain Generative Models applied to Cartoon Series
Eman T. Hassan
David J. Crandall
26
0
0
29 Sep 2017
Dual Discriminator Generative Adversarial Nets
Dual Discriminator Generative Adversarial Nets
T. Nguyen
Trung Le
H. Vu
Dinh Q. Phung
GAN
6
310
0
12 Sep 2017
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner
Bernhard Nessler
Calvin Seward
G. Klambauer
M. Heusel
Hubert Ramsauer
Sepp Hochreiter
GAN
28
74
0
29 Aug 2017
Generating Visual Representations for Zero-Shot Classification
Generating Visual Representations for Zero-Shot Classification
Max Bucher
Stéphane Herbin
F. Jurie
VLM
21
152
0
23 Aug 2017
Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative
Zhiming Zhou
Weinan Zhang
Jun Wang
16
19
0
05 Aug 2017
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