An Identity-Preserved Framework for Human Motion Transfer

arXiv:2204.06862v3 Announce Type: replace
Abstract: Human motion transfer (HMT) aims to generate a video clip for the target subject by imitating the source subject's motion. Although previous methods have achieved good results in synthesizing good-quality videos, they lose sight of individualized motion information from the source and target motions, which is significant for the realism of the motion in the generated video. To address this problem, we propose a novel identity-preserved HMT network, termed \textit{IDPres}. This network is a skeleton-based …

abstract arxiv clip cs.cv framework generate good human identity information quality transfer type video video clip videos