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 691–700 of 1459 papers

TitleStatusHype
Physical prior guided cooperative learning framework for joint turbulence degradation estimation and infrared video restoration—0
Multi-weather Cross-view Geo-localization Using Denoising Diffusion Models—0
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration—0
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition—0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
Dilated Strip Attention Network for Image Restoration—0
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models—0
CLII: Visual-Text Inpainting via Cross-Modal Predictive Interaction—0
Dual High-Order Total Variation Model for Underwater Image RestorationCode0
Deep Learning CT Image Restoration using System Blur and Noise Models—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