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 101110 of 1459 papers

TitleStatusHype
Learning A Sparse Transformer Network for Effective Image DerainingCode2
DiffIR: Efficient Diffusion Model for Image RestorationCode2
KBNet: Kernel Basis Network for Image RestorationCode2
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
I^2SB: Image-to-Image Schrödinger BridgeCode2
Image Restoration with Mean-Reverting Stochastic Differential EquationsCode2
Efficient Frequency Domain-based Transformers for High-Quality Image DeblurringCode2
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact RemovalCode2
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and RestorationCode2
Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion ModelsCode2
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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