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 13811390 of 1459 papers

TitleStatusHype
Restoring Images with Unknown Degradation Factors by Recurrent Use of a Multi-branch NetworkCode0
Iterative Residual CNNs for Burst Photography ApplicationsCode0
An Educated Warm Start For Deep Image Prior-Based Micro CT ReconstructionCode0
Bayesian Image Restoration for Poisson Corrupted Image using a Latent Variational Method with Gaussian MRFCode0
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style TransferCode0
Self-Guided Network for Fast Image DenoisingCode0
xUnit: Learning a Spatial Activation Function for Efficient Image RestorationCode0
Distilling Image Dehazing With Heterogeneous Task ImitationCode0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
Self-Refining Deep Symmetry Enhanced Network for Rain RemovalCode0
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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