Chinese Painting Style Transfer System Based on Machine Learning

The paper first briefly summarizes the development of image style transfer technology and the current mainstream technology route, and then focuses on the analysis of the types and characteristics of Chinese painting. On this basis, it describes the migration implementation algorithm of six typical Chinese painting styles based on the deep learning network, and designs the application software framework to realize the program functions. Finally, the results of the implementation of the program were analyzed and discussed. The proposed algorithm and software have certain application value. With the software, ordinary digital pictures or paintings can be transfer the ones with different Chinese painting styles, which has played a positive role in the promotion of Chinese painting and Chinese culture.