Author

Xun-Peng Yi

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Preprint Sep 2026

Diff-RF: Mutually Reinforced Image Registration and Fusion via Degradation-Aware Learning

Image registration and fusion aim to establish spatial correspondences from misaligned multi-modal source images, and integrate complementary information. However, in real-world imaging scenarios, source images are often affected by complex and diverse degradations, such as low illumination, noise, etc., which severely...

Xun-Peng Yi, Zai-Xi Du, Qing-Long Yan et al. · 0 citations

Aug 2026

GText-IF: Leveraging Text-Driven Semantics for Degradation-Aware Image Fusion.

An innovative degradation-aware image fusion framework via leveraging text-driven semantics, termed GText-IF, which can perform effective degradation-aware fusion in real degraded image scenarios, exhibiting remarkable advancement, robustness, and practicality.

Xun-Peng Yi, Han Xu, Yi-Bing Zhang et al. · IEEE Transactions on Pattern... · 1 citation