Style transfer is an important task in which the style of a source image is
mapped onto that of a target image. The method is useful for synthesizing
derivative works of a particular artist or specific painting. This work
considers targeted style transfer, in which the style of a template image is
used to alter only part of a target image. For example, an artist may wish to
alter the style of only one particular object in a target image without
altering the object's general morphology or surroundings. This is useful, for
example, in augmented reality applications (such as the recently released
Pokemon GO), where one wants to alter the appearance of a single real-world
object in an image frame to make it appear as a cartoon. Most notably, the
rendering of real-world objects into cartoon characters has been used in a
number of films and television show, such as the upcoming series Son of Zorn.
We present a method for targeted style transfer that simultaneously segments
and stylizes single objects selected by the user. The method uses a Markov
random field model to smooth and anti-alias outlier pixels near object
boundaries, so that stylized objects naturally blend into their surroundings.

本文介绍一种针对目标图像特定区域进行风格迁移的方法，使用 Markov 随机场模型对用户选择的单个对象进行分割和风格化，同时在对象边界附近进行平滑和抗锯齿，使得风格化的对象能够自然地与其环境融合。