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 611620 of 1459 papers

TitleStatusHype
DARK: Denoising, Amplification, Restoration KitCode0
Learning Discriminative Shrinkage Deep Networks for Image DeconvolutionCode0
Generalizing to Out-of-Sample Degradations via Model ReprogrammingCode0
Modular Degradation Simulation and Restoration for Under-Display CameraCode0
Automatic Temporally Coherent Video ColorizationCode0
Learning Deep CNN Denoiser Prior for Image RestorationCode0
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
Kernel-aware Burst Blind Super-ResolutionCode0
Latent Convolutional ModelsCode0
Iterative Residual CNNs for Burst Photography ApplicationsCode0
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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