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 701–710 of 1459 papers

TitleStatusHype
Training-Free Large Model Priors for Multiple-in-One Image Restoration—0
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image RestorationCode0
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity—0
Haze-Aware Attention Network for Single-Image Dehazing—0
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration—0
In-Loop Filtering via Trained Look-Up Tables—0
Exploring Richer and More Accurate Information via Frequency Selection for Image RestorationCode0
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration—0
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration—0
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing—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