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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1426–1450 of 1459 papers

TitleStatusHype
Training Image Estimators without Image Ground TruthCode0
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial LearningCode0
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception ModuleCode0
Single Stage Adaptive Multi-Attention Network for Image RestorationCode0
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image RestorationCode0
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentationCode0
SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse ProblemsCode0
Gyroscope-Assisted Motion Deblurring NetworkCode0
Attention Based Real Image RestorationCode0
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNNCode0
CODE: Confident Ordinary Differential EditingCode0
Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera ImagesCode0
Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized ConstraintsCode0
Dense xUnit NetworksCode0
Denoising Prior Driven Deep Neural Network for Image RestorationCode0
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined DistortionsCode0
Trustworthy Image Super-Resolution via Generative PseudoinverseCode0
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient EstimationCode0
Group-based Sparse Representation for Image RestorationCode0
Spatially-Adaptive Image Restoration using Distortion-Guided NetworksCode0
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor CompletionCode0
Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscriptsCode0
Chasing Better Deep Image Priors between Over- and Under-parameterizationCode0
Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse WeatherCode0
Global-Local Stepwise Generative Network for Ultra High-Resolution Image RestorationCode0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified