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 291300 of 1459 papers

TitleStatusHype
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
LVRNet: Lightweight Image Restoration for Aerial Images under Low VisibilityCode1
Context-Aware Pretraining for Efficient Blind Image DecompositionCode1
Comprehensive and Delicate: An Efficient Transformer for Image RestorationCode1
Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video DatasetCode1
Ingredient-Oriented Multi-Degradation Learning for Image RestorationCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Focal Network for Image RestorationCode1
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow RemovalCode1
QC-StyleGAN -- Quality Controllable Image Generation and ManipulationCode1
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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