SOTAVerified

Unified Image Restoration

Using a single model to restore inputs with different degradation types.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–17 of 17 papers

TitleStatusHype
UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior—0
Decomposition Ascribed Synergistic Learning for Unified Image Restoration—0
Generative Diffusion Prior for Unified Image Restoration and Enhancement—0
Hybrid Agents for Image Restoration—0
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations—0
Accurate Forgetting for All-in-One Image Restoration Model—0
UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank AdaptationCode0
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All datasetsBSD68 sigma25GoProLOLRain100LRESIDE

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DA-RCOTAverage PSNR (dB)31.23—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-RCOTAverage PSNR (dB)28.68—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-RCOTAverage PSNR (dB)23.25—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-RCOTAverage PSNR (dB)38.36—Unverified
#ModelMetricClaimedVerifiedStatus
1DA-RCOTAverage PSNR (dB)31.26—Unverified