Human Motion Transfer With 3D Constraints and Detail Enhancement

We propose a new method for realistic human motion transfer using a generative adversarial network (GAN), which generates a motion video of a target character imitating actions of a source character, while maintaining high authenticity of the generated results. We tackle the problem by decoupling an...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 01. Apr., Seite 4682-4693
1. Verfasser: Sun, Yang-Tian (VerfasserIn)
Weitere Verfasser: Fu, Qian-Cheng, Jiang, Yue-Ren, Liu, Zitao, Lai, Yu-Kun, Fu, Hongbo, Gao, Lin
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't