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

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Showing 471–480 of 1459 papers

TitleStatusHype
MatIR: A Hybrid Mamba-Transformer Image Restoration ModelCode1
Region Attention Transformer for Medical Image RestorationCode1
Controllable Image Restoration for Under-Display Camera in Smartphones—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
Alternative design of DeepPDNet in the context of image restoration—0
Content-Aware Depth-Adaptive Image Restoration—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence—0
Adaptively Sparse Regularization for Blind Image Restoration—0
ACL: Activating Capability of Linear Attention for Image Restoration—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