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 10711080 of 1459 papers

TitleStatusHype
Lunar surface image restoration using U-net based deep neural networks0
Real-world Person Re-Identification via Degradation Invariance Learning0
Recent Progress in Image Deblurring0
Recent progress in image denoising: A training strategy perspective0
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising0
Reconstructing Satellites in 3D from Amateur Telescope Images0
Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN0
Recovering Continuous Scene Dynamics from A Single Blurry Image with Events0
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder0
Reference-Guided Identity Preserving Face Restoration0
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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