This paper presents a simple method for "do as I do" motion transfer: given a
source video of a person dancing, we can transfer that performance to a novel
(amateur) target after only a few minutes of the target subject performing
standard moves. We approach this problem as video-to-video translation using
pose as an intermediate representation. To transfer the motion, we extract
poses from the source subject and apply the learned pose-to-appearance mapping
to generate the target subject. We predict two consecutive frames for
temporally coherent video results and introduce a separate pipeline for
realistic face synthesis. Although our method is quite simple, it produces
surprisingly compelling results (see video). This motivates us to also provide
a forensics tool for reliable synthetic content detection, which is able to
distinguish videos synthesized by our system from real data. In addition, we
release a first-of-its-kind open-source dataset of videos that can be legally
used for training and motion transfer.

本文介绍一种简单的方法来实现 “像我这样做” 的运动转移：使用 “姿势” 作为中间表示，从源主体中提取姿势并应用学习的姿势到外观的映射来生成目标主体，并提供一个可靠的合成内容检测的取证工具和一个首个独一无二的开源视频数据集来进行训练和运动转移。