jrtechs-computer-vision-GANs-paper/proposal.bib

@PREAMBLE{
 "\providecommand{\noopsort}[1]{}" 
 # "\providecommand{\singleletter}[1]{#1}%" 
}

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@ARTICLE{overviewDocument,
    author={Z. {Pan} and W. {Yu} and X. {Yi} and A. {Khan} and F. {Yuan} and Y. {Zheng}},
    journal={IEEE Access},
    title={Recent Progress on Generative Adversarial Networks (GANs): A Survey},
    year={2019},
    volume={7},
    number={},
    pages={36322-36333},
    keywords={artificial intelligence;neural nets;generative adversarial network;GANs;generative models;data generation capacity;artificial intelligence;Gallium nitride;Generators;Generative adversarial networks;Training;Feature extraction;Data models;Unsupervised learning;Deep learning;machine learning;unsupervised learning;generative adversarial networks},
    doi={10.1109/ACCESS.2019.2905015},
    ISSN={2169-3536},
month={},}