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Energy-based Generative Adversarial Network

Energy-based Generative Adversarial Network

11 September 2016
J. Zhao
Michaël Mathieu
Yann LeCun
    GAN
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Papers citing "Energy-based Generative Adversarial Network"

50 / 508 papers shown
Title
Landmark Detection in Low Resolution Faces with Semi-Supervised Learning
Landmark Detection in Low Resolution Faces with Semi-Supervised Learning
Amit Kumar
Rama Chellappa
CVBM
13
4
0
30 Jul 2019
UGAN: Untraceable GAN for Multi-Domain Face Translation
UGAN: Untraceable GAN for Multi-Domain Face Translation
Defa Zhu
Si Liu
Wentao Jiang
Chen Gao
Tianyi Wu
Qaingchang Wang
G. Guo
ViT
CVBM
11
16
0
26 Jul 2019
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive
  Layer-Instance Normalization for Image-to-Image Translation
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
Junho Kim
Minjae Kim
Hyeonwoo Kang
Kwanghee Lee
ViT
4
549
0
25 Jul 2019
Product Aesthetic Design: A Machine Learning Augmentation
Product Aesthetic Design: A Machine Learning Augmentation
Alex Burnap
J. Hauser
Artem Timoshenko
20
44
0
17 Jul 2019
Conditional Independence Testing using Generative Adversarial Networks
Conditional Independence Testing using Generative Adversarial Networks
Alexis Bellot
M. Schaar
CML
GAN
15
51
0
09 Jul 2019
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases
K. Sivamani
9
1
0
08 Jul 2019
Generative Models for Automatic Chemical Design
Generative Models for Automatic Chemical Design
Daniel Schwalbe-Koda
Rafael Gómez-Bombarelli
MedIm
AI4CE
32
81
0
02 Jul 2019
Rare Disease Detection by Sequence Modeling with Generative Adversarial
  Networks
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks
Kezi Yu
Yunlong Wang
Yong Cai
Cao Xiao
E. Zhao
Lucas Glass
Jimeng Sun
16
14
0
01 Jul 2019
SetGAN: Improving the stability and diversity of generative models
  through a permutation invariant architecture
SetGAN: Improving the stability and diversity of generative models through a permutation invariant architecture
Alessandro Ferrero
Shireen Elhabian
Ross T. Whitaker
GAN
13
0
0
28 Jun 2019
Recent Advances of Image Steganography with Generative Adversarial
  Networks
Recent Advances of Image Steganography with Generative Adversarial Networks
Jia-Wei Liu
Yan Ke
Yu-Zhou Lei
Zhuo Zhang
Jun Li
Peng Luo
Minqing Zhang
Xiaoyuan Yang
GAN
32
69
0
18 Jun 2019
On Stabilizing Generative Adversarial Training with Noise
On Stabilizing Generative Adversarial Training with Noise
Simon Jenni
Paolo Favaro
GAN
11
61
0
11 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and
  Taxonomy
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
Zhengwei Wang
Qi She
T. Ward
MedIm
EGVM
29
90
0
04 Jun 2019
Spatial Evolutionary Generative Adversarial Networks
Spatial Evolutionary Generative Adversarial Networks
J. Toutouh
Erik Hemberg
Una-May O’Reilly
GAN
20
58
0
29 May 2019
Generative Imaging and Image Processing via Generative Encoder
Generative Imaging and Image Processing via Generative Encoder
Lin Chen
Haizhao Yang
GAN
12
1
0
23 May 2019
S-Flow GAN
S-Flow GAN
Yakov Miron
Yona Coscas
GAN
19
5
0
21 May 2019
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
ReshapeGAN: Object Reshaping by Providing A Single Reference Image
Ziqiang Zheng
Yang Wu
Zhibin Yu
Yang Yang
Haiyong Zheng
T. Kanade
GAN
18
0
0
16 May 2019
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs
Sukarna Barua
S. Erfani
James Bailey
AI4CE
GAN
17
27
0
07 May 2019
Label-Noise Robust Multi-Domain Image-to-Image Translation
Label-Noise Robust Multi-Domain Image-to-Image Translation
Takuhiro Kaneko
Tatsuya Harada
25
3
0
06 May 2019
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and
  Translation
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation
Stylianos Moschoglou
Stylianos Ploumpis
M. Nicolaou
A. Papaioannou
S. Zafeiriou
CVBM
3DH
9
49
0
01 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport
On Scalable and Efficient Computation of Large Scale Optimal Transport
Yujia Xie
Minshuo Chen
Haoming Jiang
T. Zhao
H. Zha
OT
11
42
0
01 May 2019
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for
  Real-Time Point Cloud Shape Completion
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
M. Sarmad
H. J. Lee
Y. Kim
3DPC
20
180
0
28 Apr 2019
Forget the Learning Rate, Decay Loss
Forget the Learning Rate, Decay Loss
Jiakai Wei
14
9
0
27 Apr 2019
Quantum-assisted associative adversarial network: Applying quantum
  annealing in deep learning
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning
M. Wilson
T. Vandal
Tad Hogg
E. Rieffel
GAN
BDL
16
36
0
23 Apr 2019
Learning relevant features for statistical inference
Learning relevant features for statistical inference
C. Bény
CML
11
0
0
23 Apr 2019
Training generative networks using random discriminators
Training generative networks using random discriminators
Babak Barazandeh
Meisam Razaviyayn
Maziar Sanjabi
GAN
11
4
0
22 Apr 2019
IAN: Combining Generative Adversarial Networks for Imaginative Face
  Generation
IAN: Combining Generative Adversarial Networks for Imaginative Face Generation
Abdullah Hamdi
Bernard Ghanem
GAN
CVBM
11
3
0
16 Apr 2019
Autoregressive Energy Machines
Autoregressive Energy Machines
C. Nash
Conor Durkan
23
55
0
11 Apr 2019
Deep Learning Based Computed Tomography Whys and Wherefores
Deep Learning Based Computed Tomography Whys and Wherefores
S. Bazrafkan
V. V. Nieuwenhove
J. Soons
J. D. Beenhouwer
Jan Sijbers
27
8
0
08 Apr 2019
Constrained Generative Adversarial Networks for Interactive Image
  Generation
Constrained Generative Adversarial Networks for Interactive Image Generation
Eric Heim
GAN
9
26
0
03 Apr 2019
Auto-Embedding Generative Adversarial Networks for High Resolution Image
  Synthesis
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Yong Guo
Qi Chen
Jian Chen
Qingyao Wu
Javen Qinfeng Shi
Mingkui Tan
GAN
17
66
0
27 Mar 2019
General Probabilistic Surface Optimization and Log Density Estimation
General Probabilistic Surface Optimization and Log Density Estimation
Dmitry Kopitkov
Vadim Indelman
8
1
0
25 Mar 2019
Fast Underwater Image Enhancement for Improved Visual Perception
Fast Underwater Image Enhancement for Improved Visual Perception
M. Islam
Youya Xia
Junaed Sattar
GAN
22
873
0
23 Mar 2019
Learning Disentangled Representations of Satellite Image Time Series
Learning Disentangled Representations of Satellite Image Time Series
E. Sanchez
M. Serrurier
M. Ortner
DRL
SSL
6
14
0
21 Mar 2019
Implicit Generation and Generalization in Energy-Based Models
Implicit Generation and Generalization in Energy-Based Models
Yilun Du
Igor Mordatch
BDL
DiffM
19
40
0
20 Mar 2019
Deep Generative Design: Integration of Topology Optimization and
  Generative Models
Deep Generative Design: Integration of Topology Optimization and Generative Models
Sangeun Oh
Yongsu Jung
Seongsin Kim
Ikjin Lee
Namwoo Kang
AI4CE
14
0
0
01 Mar 2019
Anomaly Detection with Adversarial Dual Autoencoders
Anomaly Detection with Adversarial Dual Autoencoders
Ha Son Vu
D. Ueta
Kiyoshi Hashimoto
Kazuki Maeno
Sugiri Pranata
S. Shen
GAN
11
43
0
19 Feb 2019
Lipschitz Generative Adversarial Nets
Lipschitz Generative Adversarial Nets
Zhiming Zhou
Jiadong Liang
Yuxuan Song
Lantao Yu
Hongwei Wang
Weinan Zhang
Yong Yu
Zhihua Zhang
GAN
17
78
0
15 Feb 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
Peilin Zhong
Yuchen Mo
Chang Xiao
Pengyu Chen
Changxi Zheng
14
5
0
13 Feb 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive
  Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation
Jonas Löhdefink
Andreas Bär
Nico M. Schmidt
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
21
15
0
12 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active
  Acquisition
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Zizhao Zhang
Adriana Romero
Matthew Muckley
Pascal Vincent
Lin Yang
M. Drozdzal
6
110
0
08 Feb 2019
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An
  Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy
Anjany Sekuboyina
Markus Rempfler
A. Valentinitsch
Bjoern H. Menze
Jan S. Kirschke
18
3
0
06 Feb 2019
Kernel-Guided Training of Implicit Generative Models with Stability
  Guarantees
Kernel-Guided Training of Implicit Generative Models with Stability Guarantees
Arash Mehrjou
Wittawat Jitkrittum
Krikamol Muandet
Bernhard Schölkopf
GAN
16
4
0
26 Jan 2019
Maximum Entropy Generators for Energy-Based Models
Maximum Entropy Generators for Energy-Based Models
Rithesh Kumar
Sherjil Ozair
Anirudh Goyal
Aaron Courville
Yoshua Bengio
11
112
0
24 Jan 2019
Deep Generative Learning via Variational Gradient Flow
Deep Generative Learning via Variational Gradient Flow
Yuan Gao
Yuling Jiao
Yang Wang
Yao Wang
Can Yang
Shunkang Zhang
19
36
0
24 Jan 2019
QGAN: Quantized Generative Adversarial Networks
QGAN: Quantized Generative Adversarial Networks
Peiqi Wang
Dongsheng Wang
Yu Ji
Xinfeng Xie
Haoxuan Song
XuXin Liu
Yongqiang Lyu
Yuan Xie
GAN
MQ
13
32
0
24 Jan 2019
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and
  Image-to-Image Translation
Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation
Wei Sun
Tianfu Wu
13
13
0
18 Jan 2019
GO Gradient for Expectation-Based Objectives
GO Gradient for Expectation-Based Objectives
Yulai Cong
Miaoyun Zhao
Ke Bai
Lawrence Carin
18
16
0
17 Jan 2019
Memory Augmented Deep Generative models for Forecasting the Next Shot
  Location in Tennis
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis
Tharindu Fernando
Simon Denman
S. Sridharan
Clinton Fookes
GAN
9
34
0
16 Jan 2019
SteganoGAN: High Capacity Image Steganography with GANs
SteganoGAN: High Capacity Image Steganography with GANs
K. Zhang
Alfredo Cuesta-Infante
Lei Xu
K. Veeramachaneni
GAN
13
207
0
12 Jan 2019
Generative Adversarial Networks for Financial Trading Strategies
  Fine-Tuning and Combination
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination
Adriano Soares Koshiyama
Nikan B. Firoozye
Philip C. Treleaven
GAN
11
86
0
07 Jan 2019
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