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 441450 of 1459 papers

TitleStatusHype
Style-Guided Shadow RemovalCode1
Freqformer: Image-Demoiréing Transformer via Efficient Frequency DecompositionCode1
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image RestorationCode1
Forward-only Diffusion Probabilistic ModelsCode1
A Comparative Study of Image Restoration Networks for General Backbone Network DesignCode1
From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral PerspectiveCode1
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly DetectionCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
The 2018 PIRM Challenge on Perceptual Image Super-resolutionCode1
Flare-Free Vision: Empowering Uformer with Depth InsightsCode1
Show:102550
← PrevPage 45 of 146Next →

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