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 571580 of 1459 papers

TitleStatusHype
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly DetectionCode1
Learning from History: Task-agnostic Model Contrastive Learning for Image RestorationCode1
HAT: Hybrid Attention Transformer for Image RestorationCode3
Prompt-based Ingredient-Oriented All-in-One Image RestorationCode1
Advanced Underwater Image Restoration in Complex Illumination Conditions0
SAM-Deblur: Let Segment Anything Boost Image DeblurringCode1
Memory augment is All You Need for image restorationCode1
Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction0
DiffBIR: Towards Blind Image Restoration with Generative Diffusion PriorCode4
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
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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