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 821830 of 1459 papers

TitleStatusHype
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning0
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution0
Variational Deep Image RestorationCode1
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks0
Mockingbird at the SIGTYP 2022 Shared Task: Two Types of Models forthe Prediction of Cognate Reflexes0
The SIGTYP 2022 Shared Task on the Prediction of Cognate ReflexesCode0
NTIRE 2022 Challenge on Perceptual Image Quality Assessment0
Self-supervised deep image restoration via adaptive stochastic gradient Langevin dynamicsCode1
Masked Frequency Modeling for Self-Supervised Visual Pre-TrainingCode1
Annular Computational Imaging: Capture Clear Panoramic Images through Simple LensCode1
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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