  Recently, with the revolutionary neural style transferring methods,
creditable paintings can be synthesized automatically from content images and
style images. However, when it comes to the task of applying a painting's style
to an anime sketch, these methods will just randomly colorize sketch lines as
outputs and fail in the main task: specific style tranfer. In this paper, we
integrated residual U-net to apply the style to the gray-scale sketch with
auxiliary classifier generative adversarial network (AC-GAN). The whole process
is automatic and fast, and the results are creditable in the quality of art
style as well as colorization.
