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 731740 of 1459 papers

TitleStatusHype
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration0
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration0
Training a Task-Specific Image Reconstruction Loss0
Training-Free Large Model Priors for Multiple-in-One Image Restoration0
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function0
CSI-Inpainter: Enabling Visual Scene Recovery from CSI Time Sequences for Occlusion Removal0
Truncated Nuclear Norm Minimization for Image Restoration Based On Iterative Support Detection0
TSFormer: A Robust Framework for Efficient UHD 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