“Overview of Cartoon Face Generation”, Xianfa Shen, Sujie Lei, Jiansong Liu2023-02-24 (anime AI, GAN)⁠:

As a computer art form, animation stylization of human face images is widely used in every aspect of daily life. From children’s animation education books to classic animation works, animation style attracts children with a very charming art form, but also promotes the interest of children in exploring. In addition, animation production is also widely used in online games. Scenes and characters in games are often in the style of animation, which can reduce the production cost of games and the memory requirements of computers.

In social entertainment, there are more and more people turning self-portrait into animation style as their social network profile pictures, which can not only attract the attention of others, but also protect the privacy of the portrait. However, drawing cartoon portraits by hand is very laborious and requires a lot of artistic skills, even with photo editing software. Therefore, how to perform face cartoonization efficiently and with high quality is an important issue.

This article describes the development overview of face cartoonization; gives the application of face cartoonization; lists the commonly used datasets of face cartoonization; and discusses the methods of face cartoonization from 3 aspects; finally, the research direction and development trend of face cartoonization are prospected from the aspects of dataset, generated image definition, generated image details and model training time.

[Keywords: face cartoonization, unsupervised learning, deep learning, generative adversarial network]