
The author proposes a method that is type and severity aware for blind all-in-one weather removal, utilizing Contrastive Loss (CL) and Marginal Quality Ranking Loss (MQRL) to guide the model in extracting representative weather information effectively.


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degradation-type-and-severity-aware-all-in-one-adverse-weather-removal


Degradation Type and Severity Aware All-In-One Adverse Weather Removal


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提案されたUtilityIRモデルは、天候の劣化タイプと深刻さを認識し、単一画像に対する盲目的な全天候除去を可能にします。


always-clear-days-degradation-type-and-severity-aware-all-in-one-adverse-weather-removal


Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal
