Iterative token evaluation and refinement for real-world super-resolution

Iterative token evaluation and refinement for real-world super-resolution

Real-world image super-resolution (RWSR) is a longstanding problem as low-quality (LQ) images often have complex and unidentified degradations. Existing methods such as Generative Adversarial Networks (GANs) or continuous diffusion models present their own issues including GANs being difficult to tr...

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Bibliographic Details
Main Authors: Chen, Chaofeng, Zhou, Shangchen, Liao, Liang, Wu, Haoning, Sun, Wenxiu, Yan, Qiong, Lin, Weisi
Other Authors: College of Computing and Data Science
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Computer and Information Science
Computational photography
Image & video synthesis
Online Access:https://hdl.handle.net/10356/178460
https://ojs.aaai.org/index.php/AAAI/article/view/27861

Internet

https://hdl.handle.net/10356/178460
https://ojs.aaai.org/index.php/AAAI/article/view/27861

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