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 171–180 of 1459 papers

TitleStatusHype
Navigating Image Restoration with VAR's Distribution Alignment PriorCode2
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution—0
Consistency Posterior Sampling for Diverse Image Synthesis—0
Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration—0
Dual Prompting Image Restoration with Diffusion Transformers—0
Varformer: Adapting VAR's Generative Prior for Image RestorationCode2
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)Code1
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper GranularityCode0
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models—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