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Learning Multi-Scale Photo Exposure Correction

CVPR 2021 · Image generation › Image restoration · approach: Reflection removal · 229 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the coarse-to-fine multi-scale exposure correction modelExposure correction on overexposed and properly exposed test images · Overexposed and properly exposed test imagesPSNR (Avg.): 17.627 -> 19.198Helped
Use the coarse-to-fine multi-scale exposure correction modelExposure correction on underexposed test images · Underexposed test imagesPSNR (Avg.): 19.720 -> 19.646Hurt
Use the coarse-to-fine multi-scale exposure correction modelExposure correction on combined over- and underexposed test images · Combined over- and underexposed test imagesPSNR (Avg.): 17.890 -> 19.377Helped
Add pyramid loss to supervise intermediate scale outputs (ablation)Four-level exposure correction model · 500-image validation subsetPSNR: 18.041 -> 18.385Helped
Use four Laplacian pyramid levels instead of one (ablation)Exposure correction network · 500-image validation subsetPSNR: 16.984 -> 18.385Helped
Use four Laplacian pyramid levels instead of two (ablation)Exposure correction network · 500-image validation subsetPSNR: 17.442 -> 18.385Helped
Add adversarial loss (ablation)Exposure correction model · Overexposed and properly exposed test imagesPI: 2.189 -> 2.183Helped
Add adversarial loss (ablation)Exposure correction model · Overexposed and properly exposed test imagesPSNR (Avg.): 19.349 -> 19.198Hurt
Add adversarial loss (ablation)Exposure correction model · Combined over- and underexposed test imagesPI: 2.251 -> 2.247Helped
Add adversarial loss (ablation)Exposure correction model · Combined over- and underexposed test imagesPSNR (Avg.): 19.483 -> 19.377Hurt

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