DarkIR: Robust Low-Light Image Restoration
Daniel Feijoo, Juan C. Benito, Álvaro García, Marcos V. Conde
2025Year
16Top-tier citations
Abstract
Low-light and Blurry (↓Noise) RetinexFormer [3] fails with Blur DarkIR (Ours) Low-light and Noisy (↓Blur) LEDNet [65] fails with Noise DarkIR (Ours) Figure 1. Previous Low-light Image Enhancement (LLIE) and restoration methods are not robust to blur and illumination changes. Our multi-task model is able to restore real low-light images under varying illumination, noise and blur conditions. Zoom-in to see details.
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Install the CLIlune papers fulltext 69b0ba55-fa5e-4e74-b6e7-422be2ce0906Cited by top-tier papers16
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Builds on24
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- MUSIQ: Multi-scale Image Quality TransformerJunjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar et al.ICCV 2021 · 1,325 citations
- MetaFormer is Actually What You Need for VisionWeihao Yu, Mi Luo, Pan Zhou, Chenyang Si et al.CVPR 2022 · 1,114 citations
- DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and BetterOrest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang WangICCV 2019 · 1,100 citations
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