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Xiangyu Li

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Jul 2026

MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model

This work proposes MambaLIE, a Scene Light Intensity-Boosted Low-Light Image Enhancement method based on a State Space Model (SSM), which outperforms state-of-the-art CNN-based and Transformer-based LIE methods on four widely used synthetic benchmarks and five publicly available real-world benchmarks in terms of accuracy, speed, and model size.

Wanshu Fan, Xiangyu Li, Cong Wang et al. · 0 citations

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