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 881890 of 1459 papers

TitleStatusHype
Rethinking PRL: A Multiscale Progressively Residual Learning Network for Inverse HalftoningCode0
A Dive into SAM Prior in Image Restoration0
Generalized Expectation Maximization Framework for Blind Image Super Resolution0
SIDAR: Synthetic Image Dataset for Alignment & RestorationCode0
Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Go0
Neural information coding for efficient spike-based image denoising0
Toward Moiré-Free and Detail-Preserving Demosaicking0
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG^2+ Track 3Code0
Mobile Image Restoration via Prior Quantization0
CSI-Inpainter: Enabling Visual Scene Recovery from CSI Time Sequences for Occlusion Removal0
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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