Generating artificial images by generative adversary network

Authors

Yunhao Zhang, Kean University
Yanxin Zhou, Wenzhou-Kean University
Ching yu Huang, Kean University

Document Type

Conference Proceeding

Publication Date

8-26-2019

Abstract

This paper presents a case study of the structure, generative adversary network (GAN). The primary goal of this project is to apply the concept of GAN (Generative Adversary Network) to generate a group of artificial images with same theme, which are expected to give a realistic view to human eyes in final stage. This independent research mainly focuses on basic structure of GAN and the improvement of its quality via implementing a variation, DCGAN. Thus, it can offer solid foundations and help to our team to focus on exploring a possibility of this fair new technology.

Publication Title

ACM International Conference Proceeding Series

First Page Number

52

Last Page Number

55

DOI

10.1145/3357777.3357794

Recommended Citation

Zhang, Yunhao; Zhou, Yanxin; and Huang, Ching yu, "Generating artificial images by generative adversary network" (2019). Kean Publications. 1328.
https://digitalcommons.kean.edu/keanpublications/1328