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 801810 of 1459 papers

TitleStatusHype
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation0
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility0
SPIRE: Semantic Prompt-Driven Image Restoration0
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GANCode0
Image Deblurring using GAN0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion0
WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction0
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsCode0
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging0
Decoupling Degradation and Content Processing for Adverse Weather Image Restoration0
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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