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 281290 of 1459 papers

TitleStatusHype
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed ImagesCode1
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsCode1
Dynamic Contrastive Knowledge Distillation for Efficient Image RestorationCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Flare-Free Vision: Empowering Uformer with Depth InsightsCode1
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen DomainsCode1
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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