A Survey of Image Style Transfer Research
XinYue Shi, Wenjin Hu · 2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) · 2022
Image conversion is the process of combining content images and style images to build a new picture. To facilitate the research on image style transfer, the most important methods and results of image style transfer are summarized and discussed. First, the concept of image style transfer is reviewed, and introduced in detail the image style migration method based on deep learning. Secondly, the basic content and algorithms of image mode transformation based on Gan cycle and Transformer are introduced. Finally, the current problems and future research directions of image style transfer based on deep learning are summarized.