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Xu et al., 2022 - Google Patents

Designing one unified framework for high-fidelity face reenactment and swapping

Xu et al., 2022

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Document ID
10517210380745041646
Author
Xu C
Zhang J
Han Y
Tian G
Zeng X
Tai Y
Wang Y
Wang C
Liu Y
Publication year
Publication venue
European conference on computer vision

External Links

Snippet

Face reenactment and swapping share a similar identity and attribute manipulating pattern, but most methods treat them separately, which is redundant and practical-unfriendly. In this paper, we propose an effective end-to-end unified framework to achieve both tasks. Unlike …
Continue reading at www.ecva.net (PDF) (other versions)

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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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