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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM14889

Image Inpainting and Image Super Resolution Using Generative Adversarial Network

Stream/Area:

-

Subject:

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Paper ID:

IJSREM14889

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PKGM

Pradeep Kumar G M

DS

Darshan S

SN

Shivaraj N

SKB

Sunil Kumar B

YS

Yeshas S

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Abstract

Deep learning AI is proven to get more and more accurate over the years. It can now learn without any human supervision and perform tasks with the precision of man himself. GAN is an evolving technology that has achieved excellent accuracy and seems to be progressing much more over time. Its various applications include image inpainting, video frame generation, language processing, and much more. This paper will explore the working of a GAN model and study more into what it is. We shall also look at two applications of GAN in detail.

KEYWORDS

Generative Adversarial Network super resolution boundless image-inpainting Deep Learning.

Cite This Article

Pradeep Kumar G M, Darshan S, Shivaraj N, Sunil Kumar B, Yeshas S, "Image Inpainting and Image Super Resolution Using Generative Adversarial Network," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022.

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Publication Date

6/20/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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