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 1181–1190 of 1459 papers

TitleStatusHype
Task-GAN for Improved GAN based Image Restoration—0
Diffusion Model Compression for Image-to-Image Translation—0
TDiR: Transformer based Diffusion for Image Restoration Tasks—0
Tensor Wiener Filter—0
Text-Aware Image Restoration with Diffusion Models—0
Text Extraction and Restoration of Old Handwritten Documents—0
TextIR: A Simple Framework for Text-based Editable Image Restoration—0
The Perception-Robustness Tradeoff in Deterministic Image Restoration—0
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling—0
The Power of Triply Complementary Priors for Image Compressive Sensing—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