Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Learning a good image prior is a long-term goal for image restoration and manipulation. While existing methods like deep image prior (DIP) capture low-level image statistics, there are still gaps toward an image prior that captures rich image semantics including color, spatial coherence, textures, a...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2022-11, Vol.44 (11), p.7474-7489
Hauptverfasser:	Pan, Xingang, Zhan, Xiaohang, Dai, Bo, Lin, Dahua, Loy, Chen Change, Luo, Ping
Format:	Artikel
Sprache:	eng
Schlagworte:	Color Generative adversarial networks Generators Image color analysis Image manipulation Image prior image processing Image reconstruction Image restoration Morphing Semantics Task analysis
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