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 551–560 of 1459 papers

TitleStatusHype
Hybrid Agents for Image Restoration—0
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation—0
IFR: Iterative Fusion Based Recognizer For Low Quality Scene Text Recognition—0
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution—0
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters—0
D-YOLO a robust framework for object detection in adverse weather conditions—0
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems—0
Dynamic Image Restoration and Fusion Based on Dynamic Degradation—0
Dynamic Degradation Decomposition Network for All-in-One Image Restoration—0
CLII: Visual-Text Inpainting via Cross-Modal Predictive Interaction—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