Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network

Neural Information Processing Systems 

Real-world Image Dehazing (RID) aims to alleviate haze-induced degradation in real-world settings. This task remains challenging due to the complexities in accurately modeling real haze distributions and the scarcity of paired real-world data.

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