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 821–830 of 1459 papers

TitleStatusHype
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
Discriminative Transfer Learning for General Image Restoration—0
Disparity-Aware Domain Adaptation in Stereo Image Restoration—0
Distilling Semantic Priors from SAM to Efficient Image Restoration Models—0
Generative and Discriminative Learning for Distorted Image Restoration—0
Distributed Learning and Inference with Compressed Images—0
Distribution-aware Dataset Distillation for Efficient Image Restoration—0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
DN-ResNet: Efficient Deep Residual Network for Image Denoising—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