SHS Web Conf.
Volume 139, 2022The 4th ETLTC International Conference on ICT Integration in Technical Education (ETLTC2022)
|Number of page(s)||8|
|Section||Topics in Computer Science|
|Published online||13 May 2022|
Generative Adversarial Networks: a systematic review and applications
1 Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece
Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece
* Corresponding author: firstname.lastname@example.org
Since their introduction in 2014 Generative Adversarial Networks (GANs) have been employed successfully in many areas such as image processing, computer vision, medical imaging, video as well as other disciplines. A large number of review papers have been published, focusing on certain application areas and proposed methods. In this paper, we collected the most recent review papers, organized the collected information according to the application field and we presented the application areas, the GAN architectures that have been applied in each case and summarized the open issues in each area.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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