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 110 of 1459 papers

TitleStatusHype
MambaIRv2: Attentive State Space RestorationCode5
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset CurationCode5
Efficient Diffusion Model for Image Restoration by Residual ShiftingCode5
MambaIR: A Simple Baseline for Image Restoration with State-Space ModelCode5
GLEAN: Generative Latent Bank for Image Super-Resolution and BeyondCode5
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral ReconstructionCode5
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian NoiseCode4
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image RestorationCode4
One-Step Effective Diffusion Network for Real-World Image Super-ResolutionCode4
DocRes: A Generalist Model Toward Unifying Document Image Restoration TasksCode4
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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