atlas

Research map / Image generation / Image restoration

Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior

CVPR 2023 · Image generation › Image restoration · approach: Image deblurring · 32 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use Ours instead of Fang et al.Semi-blind deblurring · Levin dataset (average)PSNR: 30.27 -> 31.01Helped
Use Ours instead of Fang et al.Semi-blind deblurring · Levin dataset (average)SSIM: 0.87 -> 0.89Helped
Use Ours instead of Fang et al.Semi-blind deblurring · Lai dataset (average)PSNR: 20.31 -> 20.84Helped
Use Ours instead of Fang et al.Semi-blind deblurring · Lai dataset (average)SSIM: 0.66 -> 0.68Helped
add sparse prior for residual (ablation)Ours · Ablation test images (24 images)PSNR: 26.77 -> 28.64Helped
add sparse prior for DCT artifacts (ablation)Ours · Ablation test images (24 images)PSNR: 27.25 -> 28.64Helped
add total variation prior for image (ablation)Ours · Ablation test images (24 images)PSNR: 27.98 -> 28.64Helped
add DIP for image (ablation)Ours · Ablation test images (24 images)PSNR: 26.54 -> 28.64Helped
add DRP for residual (ablation)Ours · Ablation test images (24 images)PSNR: 25.69 -> 28.64Helped
replace sigmoid with soft-shrinkage in the residual network (ablation)DRP · Deblurring and residual estimation (illustrative comparison)image restoration qualityHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy