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 551560 of 1459 papers

TitleStatusHype
Multiscale Coarse-to-Fine Guided Screenshot DemoiréingCode0
Dense xUnit NetworksCode0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Denoising Prior Driven Deep Neural Network for Image RestorationCode0
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image RestorationCode0
Dequantization and Color Transfer with Diffusion ModelsCode0
Moiré Photo Restoration Using Multiresolution Convolutional Neural NetworksCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient EstimationCode0
Modular Degradation Simulation and Restoration for Under-Display CameraCode0
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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