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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1021–1030 of 1459 papers

TitleStatusHype
Kernel Estimation from Salient Structure for Robust Motion Deblurring—0
Key-Graph Transformer for Image Restoration—0
KNN Local Attention for Image Restoration—0
Knowledge Distillation for Image Restoration : Simultaneous Learning from Degraded and Clean Images—0
Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning—0
L0TV: A New Method for Image Restoration in the Presence of Impulse Noise—0
Latent Graph Attention for Enhanced Spatial Context—0
LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration—0
Latent Neural Cellular Automata for Resource-Efficient Image Restoration—0
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent—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