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 681690 of 1459 papers

TitleStatusHype
Enhanced Control for Diffusion Bridge in Image RestorationCode0
GameIR: A Large-Scale Synthesized Ground-Truth Dataset for Image Restoration over Gaming Content0
A Preliminary Exploration Towards General Image Restoration0
CODE: Confident Ordinary Differential EditingCode0
Taming Generative Diffusion Prior for Universal Blind Image Restoration0
Multi-Scale Representation Learning for Image Restoration with State-Space Model0
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image RestorationCode0
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method0
Wavelet based inpainting detection0
MultiColor: Image Colorization by Learning from Multiple Color Spaces0
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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