Exploiting diffusion prior for real-world image super-resolution

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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Bibliographic Details
Main Authors: Wang, Jianyi, Yue, Zongsheng, Zhou, Shangchen, Chan, Kelvin C. K., Loy, Chen Change
Other Authors: College of Computing and Data Science
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Image restoration
Diffusion models
Online Access:https://hdl.handle.net/10356/180685

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