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 2650 of 1459 papers

TitleStatusHype
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and ModulationCode3
Restoring Images in Adverse Weather Conditions via Histogram TransformerCode3
Single-Image Shadow Removal Using Deep Learning: A Comprehensive SurveyCode3
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language InstructionsCode3
OneRestore: A Universal Restoration Framework for Composite DegradationCode3
SwinIR: Image Restoration Using Swin TransformerCode3
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionCode3
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
Bringing Old Photos Back to LifeCode3
Blind Image Restoration via Fast Diffusion InversionCode3
Instruct-IPT: All-in-One Image Processing Transformer via Weight ModulationCode3
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Old Photo Restoration via Deep Latent Space TranslationCode3
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-ResolutionCode3
DarkIR: Robust Low-Light Image RestorationCode3
Efficient Frequency Domain-based Transformers for High-Quality Image DeblurringCode2
Efficient Visual State Space Model for Image DeblurringCode2
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image RestorationCode2
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture ModelsCode2
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided TransformerCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact RemovalCode2
Show:102550
← PrevPage 2 of 59Next →

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