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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 961–970 of 1459 papers

TitleStatusHype
I Can See Clearly Now : Image Restoration via De-Raining—0
Identity-guided Face Generation with Multi-modal Contour Conditions—0
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition—0
iiTransformer: A Unified Approach to Exploiting Local and Non-Local Information for Image Restoration—0
Image Deblurring using GAN—0
Image denoising based on improved data-driven sparse representation—0
Image Denoising Via Collaborative Support-Agnostic Recovery—0
Image denoising with generalized Gaussian mixture model patch priors—0
Image Desaturation for SDO/AIA Using Deep Learning—0
Image Inpainting Using Directional Tensor Product Complex Tight Framelets—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