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 3140 of 1459 papers

TitleStatusHype
VmambaIR: Visual State Space Model for Image RestorationCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
Unlimited-Size Diffusion RestorationCode3
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseCode3
VRT: A Video Restoration TransformerCode3
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionCode3
SwinIR: Image Restoration Using Swin TransformerCode3
Old Photo Restoration via Deep Latent Space TranslationCode3
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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