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 431440 of 1459 papers

TitleStatusHype
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object DetectionCode1
All-in-One Image Compression and RestorationCode1
MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image RestorationCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
Multi-Stage Progressive Image RestorationCode1
Adaptive Blind All-in-One Image RestorationCode1
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed ImagesCode1
A Comparative Study of Image Restoration Networks for General Backbone Network DesignCode1
Half Wavelet Attention on M-Net+ for Low-Light Image EnhancementCode1
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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