An Identity-Preserved Framework for Human Motion Transfer

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.

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Jingzhe Ma, Xiaoqing Zhang, Shiqi Yu (2024). Dataset: An Identity-Preserved Framework for Human Motion Transfer. https://doi.org/10.57702/ig9shunv

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Jingzhe Ma
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Xiaoqing Zhang
Shiqi Yu