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 861870 of 1459 papers

TitleStatusHype
Energy-Inspired Self-Supervised Pretraining for Vision Models0
Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map0
Enhance Visual Recognition under Adverse Conditions via Deep Networks0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction0
Epigraphical Relaxation for Minimizing Layered Mixed Norms0
EquiReg: Equivariance Regularized Diffusion for Inverse Problems0
Equivariant Denoisers for Image Restoration0
ERL-Net: Entangled Representation Learning for Single Image De-Raining0
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity0
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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