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 251275 of 1459 papers

TitleStatusHype
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network StructureCode1
Continuous Representation Methods, Theories, and Applications: An Overview and PerspectivesCode1
IRNeXt: Rethinking Convolutional Network Design for Image RestorationCode1
Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
InstructRestore: Region-Customized Image Restoration with Human InstructionsCode1
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional FlowsCode1
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Deformable Kernel Networks for Joint Image FilteringCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Improving Super-Resolution Performance using Meta-Attention LayersCode1
Ingredient-Oriented Multi-Degradation Learning for Image RestorationCode1
Rethinking and Defending Protective Perturbation in Personalized Diffusion ModelsCode1
Basic Binary Convolution Unit for Binarized Image Restoration NetworkCode1
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image RestorationCode1
BANet: Blur-aware Attention Networks for Dynamic Scene DeblurringCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration NetworkCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsCode1
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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