An Overview of GANs

Authors(2) :-Ketakee Nimavat, Tushar Champaneria

GANs are the most recent and exciting development in the field of generative models. Inspired by game theory, the system consists of two models which learn on its own. In this paper, the architecture of the models is explored along with its ideology. Research on application in GANs have shown improvement in various possible areas over the traditional models. Areas pertaining to image such as image filling, text to image are explored. Finally, the paper also discusses various open ended research areas that would help make GANs a more stable and optimal system.

Authors and Affiliations

Ketakee Nimavat
UG student, Computer Engineering Department, L. D. C. E, Ahmedabad, Gujarat, India
Tushar Champaneria
Assistant Professor, Computer Engineering Department, L. D. C. E, Ahmedabad, Gujarat, India

GANs, Image Processing, Generative models

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Publication Details

Published in : Volume 4 | Issue 2 | January-February 2018
Date of Publication : 2018-01-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 214-217
Manuscript Number : IJSRSET184235
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Ketakee Nimavat, Tushar Champaneria, " An Overview of GANs, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.214-217, January-February-2018.
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