Supervised infrared-visible image fusion (IVIF) often overfits limited training distributions, creating a critical generalization gap under open-world degradations (rain, haze, low light, noise, blur). To address this issue, we propose AIR-Fusion, a parameter-efficient adaptation of a frozen, restoration-capable latent...
Bing Cao, Qiang Zhang, Xing-Xin Xu et al.· Proceedings of the Thirty-Fi...· 0 citations
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