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 621630 of 1459 papers

TitleStatusHype
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal0
Investigation of the Challenges of Underwater-Visual-Monocular-SLAM0
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration0
Illumination Controllable Dehazing Network based on Unsupervised Retinex EmbeddingCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata EmbeddingCode1
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse ProblemsCode0
Zero shot framework for satellite image restoration0
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image RestorationCode1
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes0
Show:102550
← PrevPage 63 of 146Next →

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