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 91100 of 1459 papers

TitleStatusHype
Bridge the Gap between SNN and ANN for Image Restoration0
Deconver: A Deconvolutional Network for Medical Image SegmentationCode0
InstructRestore: Region-Customized Image Restoration with Human InstructionsCode1
indiSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy0
RELD: Regularization by Latent Diffusion Models for Image Restoration0
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration0
Invert2Restore: Zero-Shot Degradation-Blind Image Restoration0
Diffusion Image Prior0
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Cat-AIR: Content and Task-Aware All-in-One Image 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