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 491500 of 1459 papers

TitleStatusHype
Probabilistic Residual Learning for Aleatoric Uncertainty in Image RestorationCode0
PMS-Net: Robust Haze Removal Based on Patch Map for Single ImagesCode0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
Plug-and-Play gradient-based denoisers applied to CT image enhancementCode0
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image ProcessingCode0
Posterior Sampling for Image Restoration using Explicit Patch PriorsCode0
Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel EstimationCode0
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization ProblemCode0
CODE: Confident Ordinary Differential EditingCode0
Phenotype-preserving metric design for high-content image reconstruction by generative inpaintingCode0
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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