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Dongsheng Zhou

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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 accura...

Wanshu Fan, Xiangyu Li, Cong Wang et al. · 0 citations
Open access Jul 2026

Aligned and realistic latent diffusion for text-to-motion generation

Text-to-motion generation aims to synthesize semantically consistent and naturally coherent motion sequences from natural language descriptions. Given the continuous nature of human motion, diffusion models operating in a continuous latent space offer inherent advantages over vector quantization-based methods, particul...

Zhaowu Li, Rui Liu, Deheng Zhu et al. · 0 citations

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