| Year | Title | Author |
|
2017
|
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks |
J Pan, C Canton, K McGuinness, NE O'Connor
|
|
2017
|
Semi-supervised Semantic Segmentation using Generative Adversarial Networks |
THP Jensen
|
|
2017
|
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks |
J Son, SJ Park, KH Jung
|
|
2017
|
Deep Semantic Hashing with Generative Adversarial Networks |
Z Qiu, Y Pan, T Yao, T Mei
|
|
2017
|
Towards Understanding the Dynamics of Generative Adversarial Networks |
J Li, A Madry, J Peebles, L Schmidt
|
|
2017
|
Stabilizing Training of Generative Adversarial Networks through Regularization |
K Roth, A Lucchi, S Nowozin, T Hofmann
|
|
2017
|
Language Generation with Recurrent Generative Adversarial Networks without Pre-training |
O Press, A Bar, B Bogin, J Berant, L Wolf
|
|
2017
|
Unsupervised Image-to-Image Translation with Generative Adversarial Networks |
H Dong, P Neekhara, C Wu, Y Guo
|
|
2017
|
Depth and Complexity of Deep Generative Adversarial Networks |
HV Yamazaki, T Yamaguchi
|
|
2017
|
Variational Approaches for Auto-Encoding Generative Adversarial Networks |
M Rosca, B Lakshminarayanan, D Warde
|
|
2017
|
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks |
L Mescheder, S Nowozin, A Geiger
|
|
2017
|
DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data |
S Gurumurthy, RK Sarvadevabhatla
|
|
2017
|
Creating Virtual Universes Using Generative Adversarial Networks |
M Mustafa, D Bard, W Bhimji, R Al
|
|
2017
|
Generative Adversarial Networks for Noise Reduction in Low-Dose CT |
JM Wolterink, T Leiner, MA Viergever, I Isgum
|
|
2017
|
NIPS 2016 Tutorial: Generative Adversarial Networks |
I Goodfellow
|
|
2017
|
Generative Adversarial Networks |
S Halbritter
|
|
2017
|
Megapixel Size Image Creation using Generative Adversarial Networks |
M Marchesi
|
|
2017
|
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models |
GL Guimaraes, B Sanchez
|
|
2017
|
Weakly Supervised Generative Adversarial Networks for 3D Reconstruction |
JY Gwak, CB Choy, A Garg, M Chandraker, S Savarese
|
|
2017
|
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI |
M Mardani, E Gong, JY Cheng, S Vasanawala
|
|
2017
|
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery |
T Schlegl, P Seeböck, SM Waldstein, U Schmidt
|
|
2017
|
LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks |
J Hayes, L Melis, G Danezis, E De Cristofaro
|
|
2017
|
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks |
C Donahue, A Balsubramani, J McAuley, ZC Lipton
|
|
2017
|
Perceptual Generative Adversarial Networks for Small Object Detection |
J Li, X Liang, Y Wei, T Xu, J Feng, S Yan
|
|
2017
|
Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks |
Y Liu, Z Qin, Z Luo, H Wang
|
|
2017
|
Multi-phase Offline Signature Verification System Using Deep Convolutional Generative Adversarial Networks |
Z Zhang, X Liu, Y Cui
|
|
2017
|
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks |
M Paganini, L de Oliveira, B Nachman
|
|
2017
|
Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks |
J Chang, S Scherer
|
|
2017
|
High-Quality Face Image SR Using Conditional Generative Adversarial Networks |
H Bin, C Weihai, W Xingming, L Chun
|
|
2017
|
Image Reconstruction by Generative Adversarial Networks |
M Huang, K Frans, M Tory, J Zhang
|
|
2017
|
Generate Identity-Preserving Faces by Generative Adversarial Networks |
Z Li, Y Luo
|
|
2017
|
An Online Learning Approach to Generative Adversarial Networks |
P Grnarova, KY Levy, A Lucchi, T Hofmann, A Krause
|
|
2017
|
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking |
V Vukotic, C Raymond, G Gravier
|
|
2016
|
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks |
E Denton, S Gross, R Fergus
|
|
2016
|
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks |
H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang
|
|
2016
|
Multi-class Generative Adversarial Networks with the L2 Loss Function |
X Mao, Q Li, H Xie, RYK Lau, Z Wang
|
|
2016
|
Generative Adversarial Networks as Variational Training of Energy Based Models |
S Zhai, Y Cheng, R Feris, Z Zhang
|
|
2016
|
Generating Images Part by Part with Composite Generative Adversarial Networks |
H Kwak, BT Zhang
|
|
2016
|
SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks |
A Ghosh, B Bhattacharya, SBR Chowdhury
|
|
2016
|
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks |
C Li, M Wand
|
|
2016
|
Medical Image Synthesis with Context-Aware Generative Adversarial Networks |
D Nie, R Trullo, C Petitjean, S Ruan, D Shen
|
