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 371380 of 1459 papers

TitleStatusHype
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Generative Modeling with Optimal Transport MapsCode1
Neural Degradation Representation Learning for All-In-One Image RestorationCode1
Neural Sparse Representation for Image RestorationCode1
Enlighten Anything: When Segment Anything Model Meets Low-Light Image EnhancementCode1
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier DomainCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offsCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
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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