The Application of Image Style Transformation Based on GAN in the Intelligent Mobile Terminal

Abstract

Generative Adversarial Network (GAN) is a kind of deep learning model and one of the most promising methods for unsupervised learning in complex distribution in recent years. Due to the need for higher hardware support, it has certain limitations in practical application. Therefore, how to use the fast-developing Web technology and Cloud technology to promote and share it is a difficult problem. To address this issue, the theme is based on the hot model of GAN, combined with the thinkPHP framework, using python and php language, then, by means of the Cloud computing technology and bootstrap technology, the interactive response system for image style transformation between the mobile terminal and the server terminal is subsequently realized, which conforms to the development trend and expansion characteristics of the mobile terminal. This scheme can be promoted to art creators or the general public to meet their needs for artistic inspiration or image style transformation and ultimately to achieve a complete chain of resource collection, information processing and service feedback.