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

Showing 551560 of 1459 papers

TitleStatusHype
Unifying Image Processing as Visual Prompting Question Answering0
AutoDIR: Automatic All-in-One Image Restoration with Latent DiffusionCode1
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression0
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis0
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image RestorationCode0
A Restoration Network as an Implicit Prior0
JPEG Information Regularized Deep Image Prior for Denoising0
Controlling Vision-Language Models for Multi-Task Image RestorationCode2
Guided Frequency Loss for Image Restoration0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified