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 13411350 of 1459 papers

TitleStatusHype
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural NetworkCode0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
Energy-Calibrated VAE with Test Time Free LunchCode0
The Perception-Distortion TradeoffCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
Modular Degradation Simulation and Restoration for Under-Display CameraCode0
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper GranularityCode0
MixNet: Efficient Global Modeling for Ultra-High-Definition Image RestorationCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
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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