Analysis on Generative Adversarial Networks: Application in Graphics and Image Processing

General Adversarial Network, or GAN, a novel algorithm that is efficient and not too sophisticated for most computer engineers with often greater precision than other existing algorithms, has exhibited vast amounts of merits and conveniences after dominating the major computer domains. So far, the m...

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Bibliographic Details
Published in2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) pp. 822 - 827
Main Authors Li, Tianbai, Liu, Yeung, Miao, Yingpei, Zhu, Zihe
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.10.2022
Subjects
Artificial Intelligence
Computer network reliability
GAN
Generative adversarial networks
Image processing
Object detection
Superresolution
Visual Application
Visualization
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Summary:General Adversarial Network, or GAN, a novel algorithm that is efficient and not too sophisticated for most computer engineers with often greater precision than other existing algorithms, has exhibited vast amounts of merits and conveniences after dominating the major computer domains. So far, the method has been applied to and made some singular achievements in statistical and medical and other similar domains. In today's and future's fast paced world, this paper has seen greater demands for such a method to provide more reliable data with fewer resources and time, inspiring us to uncover the potential and possible applications of this algorithm in the future.
DOI:10.1109/ICCASIT55263.2022.9987099