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

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Showing 1401–1410 of 1459 papers

TitleStatusHype
Low-rank Matrix Factorization under General Mixture Noise Distributions—0
Sparse Representation of a Blur Kernel for Blind Image Restoration—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors—0
Loss Functions for Neural Networks for Image ProcessingCode0
Color graph based wavelet transform with perceptual information—0
Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients—0
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion—0
Bregman Iteration for Correspondence Problems: A Study of Optical Flow—0
Matrix Factorisation with Linear Filters—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