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Sep 2026

Explainable Diffusion Model for Aperture-flexible 3D Quantitative Electromagnetic Imaging.

Three-dimensional quantitative electromagnetic imaging is essential for accurately characterizing concealed or geometrically complex targets. Existing approaches, however, predominantly rely on point-based representations or 2D reconstruction paradigms, which often require strong target priors, neglect 3D geometric dep...

Min Tan, Shu-Qing Li, Kui-Wen Xu et al. · 0 citations
Open access Sep 2026

Towards Realistic Low-Light Image Enhancement via ISP-Driven Data Modeling.

Deep neural networks (DNNs) have recently become the leading method for low-light image enhancement (LLIE). However, despite significant progress, their outputs may still exhibit issues such as amplified noise, incorrect white balance, or unnatural enhancements when deployed in real-world applications. A key challenge...

Zhi-Hua Wang, Qing-Hua Lin, Fei-Yang Liu et al. · 0 citations

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