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Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method

AAAI 2023 · Image generation › Image restoration · approach: Low-light image enhancement · 523 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use LLFormer instead of RestormerLLIE · UHD-LOL4KPSNR: 36.9094 -> 37.3340Helped
Use LLFormer instead of RestormerLLIE · UHD-LOL8KPSNR: 35.0568 -> 35.4313Helped
Use LLFormer instead of RestormerLLIE · LOLPSNR: 22.3652 -> 23.6491Helped
Use LLFormer instead of RestormerLLIE · MIT-Adobe FiveKPSNR: 24.9228 -> 25.7528Helped
Add axis-based attention and DGFN instead of Resblock (ablation)LLFormer transformer block · UHD-LOL4KPSNR: 31.92 -> 36.20Helped
Add depth-wise convolution to attention (ablation)LLFormer A-MSA · UHD-LOL4KPSNR: 35.31 -> 36.20; 0.89Helped
Add depth-wise convolution to DGFN (ablation)LLFormer DGFN · UHD-LOL4KPSNR: 35.83 -> 36.20; 0.75Helped
Add the dual-gated mechanism (ablation)LLFormer DGFN · UHD-LOL4KPSNR: 32.78 -> 36.20; 3.42Helped
Replace conventional FFN with DGFN (ablation)LLFormer transformer block · UHD-LOL4KPSNR: 23.33 -> 36.20Helped
Add weighted skip connections (ablation)LLFormer · UHD-LOL4KPSNR: 35.45 -> 36.20Helped
Add the 1×1 skip-fusion convolution (ablation)LLFormer · UHD-LOL4KPSNR: 35.90 -> 36.20Helped
Add CAFB at both the head and tail (ablation)LLFormer · UHD-LOL4KPSNR: 35.10 -> 36.20Helped

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