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...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 01. Apr., Seite 4682-4693
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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
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Sprache: | English |
Veröffentlicht: |
2023
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |