“…Early methods are focused on retrieval-based pipelines to retarget the subject in a video to the desired motion with optical flow [11] or 3D human skeleton [41]. Recent methods usually adopt deep neural networks, especially GANs [13], and exploit 2D human pose [2,5,30,35,36], human parsing [8,21,26,39], 3D human pose [37], and other 3D information [20,22,31,44] for human motion transfer [23,24].…”