IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal.
Rongxin Liao, Feng Li, Yanyan Wei, Zenglin Shi, Le Zhang, Huihui Bai, Meng Wang
Published: 202510.1109/TIP.2025.3627860
Abstract
Universal adverse weather removal (UAWR) seeks to address various weather degradations within a unified framework. Recent methods are inspired by prompt learning using pre-trained vision-language models (e.g., CLIP), leveraging degradation-aware prom…
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