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 2130 of 1459 papers

TitleStatusHype
Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image RestorationCode3
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future TrendsCode3
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language InstructionsCode3
Restoring Images in Adverse Weather Conditions via Histogram TransformerCode3
Single-Image Shadow Removal Using Deep Learning: A Comprehensive SurveyCode3
OneRestore: A Universal Restoration Framework for Composite DegradationCode3
Instruct-IPT: All-in-One Image Processing Transformer via Weight ModulationCode3
Blind Image Restoration via Fast Diffusion InversionCode3
Self-Rectifying Diffusion Sampling with Perturbed-Attention GuidanceCode3
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and ModulationCode3
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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