Application of blue and white image style transfer in ceramic products
Yu Nie, Linyun Luo, Yuewen Xiang, Yilai Zhang, Yongkang Peng, Chenyang Liao, Guanghua Song · 2022 International Conference on Big Data, Information and Computer Network (BDICN) · 2022
The rapid development of artificial intelligence technology and deep learning technology has also promoted the popularization and application of image style transfer in all walks of life. In the traditional ceramic industry, the application of image style transfer technology is still rare. This article is based on the style transfer training of ceramic blue and white images and uses three methods of rapid style transfer, direct style transfer and image pre-processing style transfer to conduct experiments. According to the results of image quality evaluation, it is concluded that the method suitable for the style transfer of ceramic blue and white images is the image pre-processing style transfer method.