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 951960 of 1459 papers

TitleStatusHype
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
DriftRec: Adapting diffusion models to blind JPEG restorationCode0
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning0
Perceptual Image Enhancement for Smartphone Real-Time Applications0
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models0
Hand Gestures Recognition in Videos Taken with Lensless Camera0
Guided Nonlocal Patch Regularization and Efficient Filtering-Based Inversion for Multiband Fusion0
Low-Light Image Restoration Based on Retina Model using Neural Networks0
Dual-former: Hybrid Self-attention Transformer for Efficient Image Restoration0
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 ClassificationCode0
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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