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 671680 of 1459 papers

TitleStatusHype
Generative Diffusion Prior for Unified Image Restoration and Enhancement0
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
Random Weights Networks Work as Loss Prior Constraint for Image Restoration0
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing0
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning0
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyCode0
Learning A Sparse Transformer Network for Effective Image DerainingCode2
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
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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