Face Restoration via Plug-and-Play 3D Facial Priors
State-of-the-art face restoration methods employ deep convolutional neural networks (CNNs) to learn a mapping between degraded and sharp facial patterns by exploring local appearance knowledge. However, most of these methods do not well exploit facial structures and identity information, and only de...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 01. Dez., Seite 8910-8926
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| 1. Verfasser: |
Hu, Xiaobin
(VerfasserIn) |
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| Weitere Verfasser: |
Ren, Wenqi,
Yang, Jiaolong,
Cao, Xiaochun,
Wipf, David,
Menze, Bjoern,
Tong, Xin,
Zha, Hongbin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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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 |
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