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

Showing 501510 of 1459 papers

TitleStatusHype
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility0
Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization PerspectiveCode1
Exploring the potential of channel interactions for image restorationCode1
Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionCode1
SPIRE: Semantic Prompt-Driven Image Restoration0
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GANCode0
Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeCode1
NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GANCode1
Image Deblurring using GAN0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified