| 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
|
Supplementary Material for Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks |
L Mescheder, S Nowozin, A Geiger
|
|
2017
|
Effective data generation for imbalanced learning using Conditional Generative Adversarial Networks |
G Douzas, F Bacao
|
|
2017
|
VIGAN: Missing View Imputation with Generative Adversarial Networks |
C Shang, A Palmer, J Sun, KS Chen, J Lu, J Bi
|
|
2017
|
Towards the Automatic Anime Characters Creation with Generative Adversarial Networks |
Y Jin, J Zhang, M Li, Y Tian, H Zhu, Z Fang
|
|
2017
|
GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks |
S Yu, H Chen, EBG Reyes, A Center, N Poh
|
|
2017
|
On the Effects of Batch and Weight Normalization in Generative Adversarial Networks |
S Xiang, H Li
|
|
2017
|
A Continuous Approach to Controllable Text Generation using Generative Adversarial Networks |
DI Helgøy, M Lund
|
|
2017
|
Transferring Microscopy Image Modalities with Conditional Generative Adversarial Networks |
L Han, Z Yin
|
|
2017
|
Malware Detection Using Deep Transferred Generative Adversarial Networks |
JY Kim, SJ Bu, SB Cho
|
|
2017
|
Weakly-Supervised Dual Generative Adversarial Networks for Makeup-Removal |
X Hou, Y Li, T Li
|
|
2017
|
Age Estimation Method Based on Generative Adversarial Networks |
XIN NING, W LI, L SUN
|
|
2017
|
Generating Realistic Chinese Handwriting Characters via Deep Convolutional Generative Adversarial Networks |
C Gu, J Liu, L Kong
|
|
2017
|
Stabilizing Training of Generative Adversarial Networks through Regularization |
K Roth, A Lucchi, S Nowozin, T Hofmann
|
|
2017
|
Generative Adversarial Networks Conditioned by Brain Signals |
S Palazzo, C Spampinato, I Kavasidis, D Giordano
|
|
2017
|
Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks |
Y Ke, M Zhang, J Liu, T Su
|
|
2017
|
Data Augmentation Generative Adversarial Networks |
A Antoniou, A Storkey, H Edwards
|
|
2017
|
Disease Prediction from Electronic Health Records Using Generative Adversarial Networks |
U Hwang, S Choi, S Yoon
|
|
2017
|
Multiplicative Noise Channel in Generative Adversarial Networks |
X Di, P Yu
|
|
2017
|
Max-Boost-GAN: Max Operation to Boost Generative Ability of Generative Adversarial Networks |
X Di, P Yu
|
|
2017
|
Face Generation for Low-Shot Learning Using Generative Adversarial Networks |
J Choe, S Park, K Kim, J Hyun Park, D Kim, H Shim
|
|
2017
|
Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks |
N Bayramoglu, M Kaakinen, L Eklund, J Heikkila
|
|
2017
|
Creating Roadmaps in Aerial Images With Generative Adversarial Networks and Smoothing-Based Optimization |
D Costea, A Marcu, E Slusanschi, M Leordeanu
|
|
2017
|
Capturing the diversity of biological tuning curves using generative adversarial networks |
T Arakaki, G Barello, Y Ahmadian
|
|
2017
|
CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning |
Y Peng, J Qi, Y Yuan
|
|
2017
|
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution |
D Mahapatra
|
|
2017
|
Robust Speech Recognition Using Generative Adversarial Networks |
A Sriram, H Jun, Y Gaur, S Satheesh
|
|
2017
|
Generative Adversarial Networks for Change Detection in Multispectral Imagery |
M Gong, X Niu, P Zhang, Z Li
|
|
2017
|
Guiding the training of Generative Adversarial Networks |
S Selseng
|
|
2017
|
Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks |
TM Quan, T Nguyen
|
|
2017
|
Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis |
D Mahapatra, B Bozorgtabar, S Hewavitharanage
|
|
2017
|
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks |
Y Hu, E Gibson, T Vercauteren, HU Ahmed
|
|
2017
|
MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks |
HW Dong, WY Hsiao, LC Yang, YH Yang
|
|
2017
|
Triangle Generative Adversarial Networks |
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li
|
|
2017
|
Class-Splitting Generative Adversarial Networks |
GL Grinblat, LC Uzal, PM Granitto
|
|
2017
|
A study of generative adversarial networks and possible extensions of GANs |
T Zhou
|
|
2017
|
Frame Interpolation Using Generative Adversarial Networks |
M Koren, K Menda, A Sharma
|
|
2017
|
Photoshop 2.0: Generative Adversarial Networks for Photo Editing |
HR Roman, B Yang, M Zhang
|
|
2017
|
Linear Discriminant Generative Adversarial Networks |
Z Sun, M Ozay, T Okatani
|
|
2017
|
Likelihood Estimation for Generative Adversarial Networks |
H Eghbal
|
|
2017
|
Using Generative Adversarial Networks to Design Shoes: The Preliminary Steps |
J Deverall, J Lee, M Ayala
|
|
2017
|
Face Video Super-Resolution with Identity Guided Generative Adversarial Networks |
D Li, Z Wang
|
|
2017
|
GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference |
V Jethava, D Dubhashi
|
|
2017
|
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks |
T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang
|
|
2017
|
Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes |
Z Zheng, Z Yu, H Zheng, C Wang, N Wang
|
|
2017
|
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks |
B Hu, Y Tang, EI Chang, Y Fan, M Lai, Y Xu
|
|
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
|
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks |
Z Erickson, S Chernova, CC Kemp
|
|
2017
|
High-Resolution Deep Convolutional Generative Adversarial Networks |
JD Curto, IC Zarza, F De La Torre, I King, MR Lyu
|
|
2017
|
Depth and Complexity of Deep Generative Adversarial Networks |
HV Yamazaki, T Yamaguchi
|
|
2017
|
SGAN: An Alternative Training of Generative Adversarial Networks |
T Chavdarova, F Fleuret
|
|
2017
|
Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks |
S Ding, A Wallin
|
|
2017
|
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal |
J Wang, X Li, L Hui, J Yang
|
|
2017
|
Variational Approaches for Auto-Encoding Generative Adversarial Networks |
M Rosca, B Lakshminarayanan, D Warde
|
|
2017
|
Eye In-Painting with Exemplar Generative Adversarial Networks |
B Dolhansky, CC Ferrer
|
|
2017
|
PacGAN: The power of two samples in generative adversarial networks |
Z Lin, A Khetan, G Fanti, S Oh
|
|
2017
|
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks |
A Sage, E Agustsson, R Timofte, L Van Gool
|
|
2017
|
Stochastic reconstruction of an oolitic limestone by generative adversarial networks |
L Mosser, O Dubrule, MJ Blunt
|
|
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
|
Synthetic Medical Images from Dual Generative Adversarial Networks |
JT Guibas, TS Virdi, PS Li
|
|
2017
|
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records |
Z Che, Y Cheng, S Zhai, Z Sun, Y Liu
|
|
2017
|
Generative Adversarial Networks for Model Based Reinforcement Learning with Tree Search |
T Xiao, G Kesineni
|
|
2017
|
Building an Automatic Sprite Generator with Deep Convolutional Generative Adversarial Networks |
L Horsley, D Perez
|
|
2017
|
SSGAN: Secure Steganography Based on Generative Adversarial Networks |
H Shi, J Dong, W Wang, Y Qian, X Zhang
|
|
2017
|
AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks |
X Mao, Q Li, H Xie
|
|
2017
|
Statistical Parametric Speech Synthesis Using Generative Adversarial Networks Under A Multi-task Learning Framework |
S Yang, L Xie, X Chen, X Lou, D Huang, H Li
|
|
2017
|
Generative Adversarial Networks for Noise Reduction in Low-Dose CT |
JM Wolterink, T Leiner, MA Viergever, I Isgum
|
|
2017
|
Phase space sampling and operator confidence with generative adversarial networks |
K Mills, I Tamblyn
|
|
2017
|
Translation-aware Semantic Segmentation via Conditional Least Square Generative Adversarial Networks |
M Zhanga, X Hua, L Zhaoa, S Pangb, J Gonga, M Luoa
|
|
2017
|
Binary Generative Adversarial Networks for Image Retrieval |
J Song
|
|
2017
|
NIPS 2016 Tutorial: Generative Adversarial Networks |
I Goodfellow
|
|
2017
|
Generative Adversarial Networks |
S Halbritter
|
|
2017
|
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks |
P Bhattacharjee, S Das
|
|
2017
|
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks |
WS Lai, JB Huang, MH Yang
|
|
2017
|
Structured Generative Adversarial Networks |
H Zhang, Z Deng, X Liang, J Zhu, EP Xing
|
|
2017
|
Parallel-Pathway Generator for Generative Adversarial Networks to Generate High-Resolution Natural Images |
Y Okadome, W Wei, T Aizono
|
|
2017
|
Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks |
H Salehinejad, S Valaee, T Dowdell, E Colak, J Barfett
|
|
2017
|
Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks |
X Chen, J Yu, S Kong, Z Wu, X Fang, L Wen
|
|
2017
|
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test … |
A Yahi, R Vanguri, N Elhadad, NP Tatonetti
|
|
2017
|
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks |
Y Huo, Z Xu, S Bao, C Bermudez, AJ Plassard, J Liu
|
|
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
|
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation |
Y Choi, M Choi, M Kim, JW Ha, S Kim, J Choo
|
|
2017
|
In2I: Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks |
P Perera, M Abavisani, VM Patel
|
|
2017
|
IVE-GAN: Invariant Encoding Generative Adversarial Networks |
R Winter, DA Clevert
|
|
2017
|
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks |
S Zhou, W Zhao, J Feng, H Lai, Y Pan, J Yin, S Yan
|
|
2017
|
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery |
M Mardani, H Monajemi, V Papyan, S Vasanawala
|
|
2017
|
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery |
T Schlegl, P Seeböck, SM Waldstein, U Schmidt
|
|
2017
|
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition |
C Donahue, B Li, R Prabhavalkar
|
|
2017
|
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks |
J van Amersfoort, W Shi, A Acosta, F Massa, J Totz
|
|
2017
|
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks |
Y Saito, S Takamichi, H Saruwatari
|
|
2017
|
Creating Turbulent Flow Realizations with Generative Adversarial Networks |
R King, P Graf, M Chertkov
|
|
2017
|
Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks |
Y Latif, R Garg, M Milford, I Reid
|
|
2017
|
Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks |
W Xiong, W Luo, L Ma, W Liu, J Luo
|
|
2017
|
Wasserstein generative adversarial networks |
M Arjovsky, S Chintala, L Bottou
|
|
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
|
Coverless Information Hiding Based on Generative adversarial networks |
M Liu, M Zhang, J Liu, Y Zhang, Y Ke
|
|
2017
|
On the Effectiveness of Least Squares Generative Adversarial Networks |
X Mao, Q Li, H Xie, RYK Lau, Z Wang, SP Smolley
|
|
2017
|
Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks |
T Kim, B Kim, M Cha, J Kim
|
|
2017
|
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks |
Y Chen, Y Wang, D Kirschen, B Zhang
|
|
2017
|
Perceptual Generative Adversarial Networks for Small Object Detection |
J Li, X Liang, Y Wei, T Xu, J Feng, S Yan
|
|
2017
|
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks |
Y Hu, E Gibson, LL Lee, W Xie, DC Barratt
|
|
2017
|
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) |
M Fulham
|
|
2017
|
Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks |
Y Liu, Z Qin, Z Luo, H Wang
|
|
2017
|
Tag Disentangled Generative Adversarial Networks for Object Image Re-rendering |
C Wang, C Wang, C Xu, D Tao
|
|
2017
|
Generative Adversarial Networks for Visual Object Detection |
D Kislyuk
|
|
2017
|
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification |
D Michelsanti, ZH Tan
|
|
2017
|
Generative Adversarial Networks with Inverse Transformation Unit |
Z Kong, S Ding
|
|
2017
|
Belief propagation generative adversarial networks |
S 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
|
Implicit Manifold Learning on Generative Adversarial Networks |
KYC Lui, Y Cao, M Gazeau, KS Zhang
|
|
2017
|
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks |
H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang
|
|
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
|
Image Quality Assessment Techniques Show Improved Training and Evaluation of Autoencoder Generative Adversarial Networks |
MO Vertolli, J Davies
|
|
2017
|
Parametrization and Generation of Geological Models with Generative Adversarial Networks |
S Chan, AH Elsheikh
|
|
2017
|
Probabilistic Generative Adversarial Networks |
H Eghbal
|
|
2017
|
Sketch-based Image Retrieval using Generative Adversarial Networks |
L Guo, J Liu, Y Wang, Z Luo, W Wen, H Lu
|
|
2017
|
ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks |
J Zhang, F Zhong, G Cao, X Qin
|
|
2017
|
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking |
V Vukotic, C Raymond, G Gravier
|
|
2017
|
MCMC based Generative Adversarial Networks for Handwritten Numeral Augmentation |
H Zhang, C Luo, X Yu, P Ren
|
|
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
|
