Deep Learning Publication Navigator - subtopic: generative adversarial networks


Year TitleAuthor
2017   SalGAN: Visual Saliency Prediction with Generative Adversarial Networks  J Pan, C Canton, K McGuinness, NE O'Connor
2017   Unsupervised Image-to-Image Translation with Generative Adversarial Networks  H Dong, P Neekhara, C Wu, Y Guo
2017   Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks  L Mescheder, S Nowozin, A Geiger
2017   NIPS 2016 Tutorial: Generative Adversarial Networks  I Goodfellow
2017   Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery  T Schlegl, P Seeböck, SM Waldstein, U Schmidt
2017   Multi-phase Offline Signature Verification System Using Deep Convolutional Generative Adversarial Networks  Z Zhang, X Liu, Y Cui
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