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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1061–1070 of 1459 papers

TitleStatusHype
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction—0
Lottery Image Prior—0
Low-Light Image Restoration Based on Retina Model using Neural Networks—0
Low-light Image Restoration with Short- and Long-exposure Raw Pairs—0
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation—0
Low-rank Matrix Factorization under General Mixture Noise Distributions—0
Low Rank Quaternion Matrix Recovery via Logarithmic Approximation—0
LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration—0
LuminanceL1Loss: A loss function which measures percieved brightness and colour differences—0
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision—0
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All datasetsCDD-11UHDM.

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