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 10811090 of 1459 papers

TitleStatusHype
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration0
Image restoration quality assessment based on regional differential information entropy0
Relationship Quantification of Image Degradations0
RELD: Regularization by Latent Diffusion Models for Image Restoration0
Removing the Representation Error of GAN Image Priors Using the Deep Decoder0
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration0
Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms0
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images0
Residual Contrastive Learning: Unsupervised Representation Learning from Residuals0
Residual Swin Transformer Channel Attention Network for Image Demosaicing0
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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