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 61–70 of 1459 papers

TitleStatusHype
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image RestorationCode2
Low-Light Image Enhancement with Wavelet-based Diffusion ModelsCode2
Dual-domain strip attention for image restorationCode2
Bracketing Image Restoration and Enhancement with High-Low Frequency DecompositionCode2
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-ResolutionCode2
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image RestorationCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Exposure Bracketing Is All You Need For A High-Quality ImageCode2
DiffIR: Efficient Diffusion Model for Image RestorationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified