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 12211230 of 1459 papers

TitleStatusHype
Understanding Opportunities for Efficiency in Single-image Super Resolution Networks0
Underwater image filtering: methods, datasets and evaluation0
UNet--: Memory-Efficient and Feature-Enhanced Network Architecture based on U-Net with Reduced Skip-Connections0
Unfolding Taylor's Approximations for Image Restoration0
UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration0
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations0
Unifying Image Processing as Visual Prompting Question Answering0
UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints0
UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior0
UniRes: Universal Image Restoration for Complex Degradations0
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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