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Author

Ling-Yu Zhu

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Jul 2026

Incorporating DINO Priors into Flow Matching for Low-Light Image Enhancement

Flow matching enables efficient low-light image enhancement (LLIE) with very few sampling steps, yet standard architectures lack explicit scene understanding, causing structural degradation and artifacts in challenging regions. We propose DINO-guided Flow Matching, which leverages a frozen DINOv3 backbone to provide il...

Xiang-Rui Zeng, Ling-Yu Zhu, Jing-Ming He et al. · 0 citations
Aug 2026

Optimizing Fidelity-Perception Tradeoff via Large Vision–Language Model Prior for Image Compression

Current neural image compression (NIC) methods primarily focus on signal fidelity optimization. While perceptually optimized codecs can generate decoded images that better align with human visual preferences at equivalent bitrates, they raise authenticity concerns due to potential deviations from the original content....

Yu-Dong Mao, Pei-Lin Chen, Hao Luo et al. · 0 citations

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