The generative adversarial networks and its application in machine vision

ABSTRACT

In recent years, the model of improved GAN has been widely applied in the field of machine vision. It not only covers the traditional image processing, but also includes image conversion, image synthesis and so on.. Firstly, this paper describes the basic principles and existing problems of GAN, then introduces several improved GAN models, including Info-GAN, DC-GAN, f-GAN, Cat-GAN and others. Secondly, several improved GAN models for different applications in the field of machine vision are described. Finally, the future trend and development of GAN are prospected.

KEYWORDS:

• Deep learning
• machine vision
• generative network
• discriminative network
• generative adversarial network

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The work is supported in part by GDAS’ Project of Science and Technology Development (2019GDASYL- 0103077), by GDAS’ Project of Science and Technology Development (2017GDASCX-0115), by GDAS’ Project of Science and Technology Development (2018GDASCX-0115).