SOTAVerified

Image Restoration

Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).

Source: Blind Image Restoration without Prior Knowledge

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 571–580 of 1459 papers

TitleStatusHype
Image Deblurring using GAN—0
Dual Ascent Diffusion for Inverse Problems—0
Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement—0
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration—0
Circular Image Deturbulence using Quasi-conformal Geometry—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration—0
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning—0
A Restoration Network as an Implicit Prior—0
All in One Bad Weather Removal Using Architectural Search—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified