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 451–475 of 1459 papers

TitleStatusHype
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Enlighten Anything: When Segment Anything Model Meets Low-Light Image EnhancementCode1
COLA-Net: Collaborative Attention Network for Image RestorationCode1
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in DualCode1
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier DomainCode1
A Comparative Study of Image Restoration Networks for General Backbone Network DesignCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
ReconfigISP: Reconfigurable Camera Image Processing PipelineCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and BeyondCode1
UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image RestorationCode1
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object DetectionCode1
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted DataCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Physics-Driven Turbulence Image Restoration with Stochastic RefinementCode1
Forward-only Diffusion Probabilistic ModelsCode1
Recurrent Inference Machines for Solving Inverse ProblemsCode1
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection NetworkCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion ModelCode1
Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image RestorationCode1
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 ClassificationCode0
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image RestorationCode0
Conditional Injective Flows for Bayesian ImagingCode0
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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