Paper hub for the AAAI 2025 work UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration by Minghao Liu, Wenhan Yang, Jinyi Luo, and Jiaying Liu.
Preview image source: the public AAAI paper page at https://ojs.aaai.org/index.php/AAAI/article/view/32587.
- Venue: AAAI 2025
- Task: unified image restoration across multiple degradations
- Core idea: connect unrolled optimization with prompt-guided restoration modules
- Repository role: paper record, citation entry, and release notes for the public research artifact
- AAAI page: https://ojs.aaai.org/index.php/AAAI/article/view/32587
- PDF: https://ojs.aaai.org/index.php/AAAI/article/view/32587/34742
The paper frames all-in-one restoration through an unrolling perspective and uses prompt generation to guide degradation-aware restoration steps.
This repository keeps the accepted paper PDF for quick reference:
AAAI_Up_Restorer__When_Unrolling_Meets_Prompts_for_Unified_Image_Restoration (2).pdf
@inproceedings{liu2025uprestorer,
title = {UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration},
author = {Liu, Minghao and Yang, Wenhan and Luo, Jinyi and Liu, Jiaying},
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
year = {2025}
}This is a lightweight paper hub. For research-code releases and maintained implementation notes, see the author's active GitHub repositories and project pages.