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An Overview of GANs

Authors(2):

Ketakee Nimavat, Tushar Champaneria
  • Abstract
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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.

Ketakee Nimavat, Tushar Champaneria

GANs, Image Processing, Generative models

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Publication Details

Published in : Volume 4 | Issue 2 | January-February - 2018
Date of Publication Print ISSN Online ISSN
2018-01-20 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
214-217 IJSRSET184235   Technoscience Academy

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.
URL : http://ijsrset.com/IJSRSET184235.php

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