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 801810 of 1459 papers

TitleStatusHype
Denoising and Covariance Estimation of Single Particle Cryo-EM Images0
Denoising diffusion models for high-resolution microscopy image restoration0
Denoising single images by feature ensemble revisited0
Densely Connected High Order Residual Network for Single Frame Image Super Resolution0
Depth and Image Restoration From Light Field in a Scattering Medium0
Depth Estimation and Image Restoration by Deep Learning from Defocused Images0
Depth image denoising using nuclear norm and learning graph model0
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model0
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal0
Designing A Composite Dictionary Adaptively From Joint Examples0
Show:102550
← PrevPage 81 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