Generative Adversarial Networks: An Overview

Keywords

Computer science, Generative grammar, Adversarial system, Artificial intelligence, Variety (cybernetics)

References

• Efficient Estimation of Word Representations in Vector SpaceTomáš Mikolov, Kai Chen, Greg S. Corrado — 2013
• Fully convolutional networks for semantic segmentationJonathan Long, Evan Shelhamer, Trevor Darrell — 2014
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• Analysis of a complex of statistical variables into principal components.H. Hotelling — 1933
• Conditional Generative Adversarial NetsMehdi Mirza, Simon Osindero — 2014
• Noise-contrastive estimation: A new estimation principle for unnormalized statistical modelsMichael U. Gutmann, Aapo Hyvärinen — 2010
• Generative Adversarial Text to Image SynthesisScott Reed, Zeynep Akata, Xinchen Yan — 2016
• Improved Techniques for Training GANsTim Salimans, Ian Goodfellow, Wojciech Zaremba — 2016
• InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial NetsXi Chen, Yan Duan, Rein Houthooft — 2016
• Coupled Generative Adversarial NetworksMing-Yu Liu, Oncel Tuzel — 2016
• Neural Photo Editing with Introspective Adversarial NetworksAndrew Brock, Theodore Lim, Jacob Ritchie — 2016
• Generative Adversarial Nets from a Density Ratio Estimation PerspectiveMasatoshi Uehara, Issei Sato, Masahiro Suzuki — 2016
• Learning What and Where to DrawScott Reed, Zeynep Akata, Santosh Mohan — 2016
• Image-to-Image Translation with Conditional Adversarial NetworksPhillip Isola, Jun-Yan Zhu, Tinghui Zhou — 2016
• Unrolled Generative Adversarial NetworksLuke Metz, Ben Poole, David Pfau — 2016
• Stacked Generative Adversarial NetworksXun Huang, Yixuan Li, Omid Poursaeed — 2016
• Learning from Simulated and Unsupervised Images through Adversarial TrainingAshish Shrivastava, Tomas Pfister, Oncel Tuzel — 2016
• AdaGAN: Boosting Generative ModelsIlya Tolstikhin, Sylvain Gelly, Olivier Bousquet — 2017
• NIPS 2016 Tutorial: Generative Adversarial NetworksIan Goodfellow — 2016

Cited by

• Deep Learning for Environmentally Robust Speech RecognitionZixing Zhang, Jürgen T. Geiger, Jouni Pohjalainen — 2017
• Relaxed Wasserstein with Applications to GANsXin Guo, Johnny Hong, Tianyi Lin — 2017
• Controllable Generative Adversarial NetworkMinhyeok Lee, Junhee Seok — 2017
• A survey of image synthesis and editing with generative adversarial networksXian Wu, Kun Xu, Peter Hall — 2017
• A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources ScientistsChaopeng Shen — 2017
• Generative adversarial networks for reconstructing natural images from brain activityKatja Seeliger, Umut Güçlü, Luca Ambrogioni — 2017
• Efficient GAN-Based Anomaly DetectionHoussam Zenati, Chuan-Sheng Foo, Bruno Lecouat — 2018
• An Introduction to Image Synthesis with Generative Adversarial NetsHe Huang, Philip S. Yu, Changhu Wang — 2018
• R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural NetworkArun Venkitaraman, Alireza M. Javid, Saikat Chatterjee — 2018
• Generative Adversarial Networks for Hyperspectral Image ClassificationLin Zhu, Yushi Chen, Pedram Ghamisi — 2018
• SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial NetworksCan Pu, Runzi Song, Radim Tylecek — 2018
• Real-Time Burst Photo Selection Using a Light-Head Adversarial NetworkBaoyuan Wang, Noranart Vesdapunt, Utkarsh Sinha — 2018
• Generative adversarial networks simulate gene expression and predict perturbations in single cellsArsham Ghahramani, Fiona M. Watt, Nicholas M. Luscombe — 2018
• cellSTORM—Cost-effective super-resolution on a cellphone using dSTORMBenedict Diederich, Patrick Then, Alexander Jügler — 2018
• Quantum generative adversarial networksPierre-Luc Dallaire-Demers, Nathan Killoran — 2018
• Machine Learning Seismic Wave Discrimination: Application to Earthquake Early WarningZefeng Li, Men‐Andrin Meier, Egill Hauksson — 2018
• GANomaly: Semi-Supervised Anomaly Detection via Adversarial TrainingSamet Akçay, Amir Atapour–Abarghouei, Toby P. Breckon — 2018
• Deep learning with cinematic rendering: fine-tuning deep neural networks using photorealistic medical imagesFaisal Mahmood, Richard Chen, Sandra Sudarsky — 2018
• MedGAN: Medical Image Translation using GANsKarim Armanious, Chenming Jiang, Marc Fischer — 2018
• Multiple Features With Extreme Learning Machines For Clothing Image RecognitionRuifan Li, Wencong Lu, Haoyu Liang — 2018

Related papers

• Who is Responsible for Adversarial Defense?Kishor Datta Gupta, Dipankar Dasgupta — 2021
• Recent Advances in Adversarial Training for Adversarial RobustnessTao Bai, Jinqi Luo, Jun Zhao — 2021
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