Methodology and application of GAN algorithms

Binwen Sun

doi:10.1117/12.2631155

18 March 2022 Methodology and application of GAN algorithms

Binwen Sun

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121682U (2022) https://doi.org/10.1117/12.2631155
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

GAN, proposed in 2014, has received high attention and extensive research from industry and academia. It is an important node in the development of generative model. With the development of research, GAN has been improved in theory and application. The basic idea of GAN is derived from two-person zero-sum game, which consists of a generator and discriminator, and is iteratively trained through confrontation. The purpose is to learn the distribution of sample data and generate new samples. Firstly, the theoretical framework of GAN is introduced. Secondly, some typical GAN models are discussed. Then four applications of GAN in data generation, image super resolution and so on is shown. Then the advantages and disadvantages of GAN are discussed and the future development direction of GAN is pointed out. Finally, the future prospect is summarized.

Citation Download Citation

Binwen Sun "Methodology and application of GAN algorithms", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121682U (18 March 2022); https://doi.org/10.1117/12.2631155

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