A survey categorizing weather restoration methods for smart transportation into traditional priors, CNNs, transformers, diffusion models, and VLMs, with discussions on datasets, night-time challenges, and future directions.
Radiance–reflectance combined optimization and structure-guided l0-norm for single image dehazing
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Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation
A survey categorizing weather restoration methods for smart transportation into traditional priors, CNNs, transformers, diffusion models, and VLMs, with discussions on datasets, night-time challenges, and future directions.