Mr. Yang Ye Profile

Yang Ye

at Carroll High School

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Proceedings Article | 2 March 2022 Paper

Generative adversarial networks

Yang Ye

Proceedings Volume 12158, 121580T (2022) https://doi.org/10.1117/12.2626949

KEYWORDS: Gallium nitride, Modeling, Image quality, Super resolution, Data modeling, Machine vision, Computer vision technology, 3D modeling, Visualization, Animal model studies

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Generative Adversarial Networks has shown impressive achievement in computer graphics applications, and it's now widely used worldwide. GAN is composed of generator and discriminator, which are crucial compositions of GAN. GAN can generate 3D models, graphics that are required in animated movies or video game characters. For example, a generative model could simply generate a new picture that looks like a specific type of animal. In the meantime, the discriminative model could distinguish the picture from a human being or an animal. GAN variants consist of progressive GAN as well as conditional GAN. Since GAN can be applied in so many different areas, in this essay, we are going to talk about how GAN is applied in image and computer vision. More specifically, face synthesis, image to image translation, and super resolution. Conclusively, GAN has a significant contribution to various areas, and it boosts the advancement in the domain of computer graphics.

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