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

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Showing 341–350 of 1459 papers

TitleStatusHype
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion ModelCode0
Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration—0
Blind Inversion using Latent Diffusion Priors—0
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
Improving Diffusion Inverse Problem Solving with Decoupled Noise AnnealingCode2
Learning Frequency-Aware Dynamic Transformers for All-In-One Image Restoration—0
Instruct-IPT: All-in-One Image Processing Transformer via Weight ModulationCode3
DiffLoss: unleashing diffusion model as constraint for training image restoration networkCode0
Rethinking and Defending Protective Perturbation in Personalized Diffusion ModelsCode1
ConStyle v2: A Strong Prompter for All-in-One Image RestorationCode1
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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