Exploiting Diffusion Prior for Real-World Image Super-Resolution

We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-to-image diffusion models for blind super-resolution. Specifically, by employing our time-aware encoder, we can achieve promising restoration results without altering the pre-trained synthesis model, thereby pre...

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Bibliographische Detailangaben

Veröffentlicht in:	International journal of computer vision Jg. 132; H. 12; S. 5929 - 5949
Hauptverfasser:	Wang, Jianyi, Yue, Zongsheng, Zhou, Shangchen, Chan, Kelvin C. K., Loy, Chen Change
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2024 Springer Springer Nature B.V
Schlagworte:	Artificial Intelligence Computer Imaging Computer Science Computer vision Controllability Image Processing and Computer Vision Image resolution Methods Pattern Recognition Pattern Recognition and Graphics Vision Generative prior Diffusion models Super-resolution Image restoration
ISSN:	0920-5691, 1573-1405
Online-Zugang:	Volltext
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