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 12811290 of 1459 papers

TitleStatusHype
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior0
Motion Deblurring using Spatiotemporal Phase Aperture Coding0
MRIR: Integrating Multimodal Insights for Diffusion-based Realistic Image Restoration0
MRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers0
MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing0
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility0
Multi-Agent Image Restoration0
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks0
MultiColor: Image Colorization by Learning from Multiple Color Spaces0
Multi-defect microscopy image restoration under limited data conditions0
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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