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 1401–1425 of 1459 papers

TitleStatusHype
Image Restoration using Plug-and-Play CNN MAP DenoisersCode0
Diffusion-based image inpainting with internal learningCode0
Convergent Primal-Dual Plug-and-Play Image Restoration: A General Algorithm and ApplicationsCode0
Image Restoration Using Deep Regulated Convolutional NetworksCode0
Diffusion-Based Adaptation for Classification of Unknown Degraded ImagesCode0
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational AutoencoderCode0
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face RestorationCode0
Towards General Deep Leakage in Federated LearningCode0
Identifying Recurring Patterns with Deep Neural Networks for Natural Image DenoisingCode0
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image RestorationCode0
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse ProblemsCode0
Sharing Key Semantics in Transformer Makes Efficient Image RestorationCode0
DestripeCycleGAN: Stripe Simulation CycleGAN for Unsupervised Infrared Image DestripingCode0
Automatic Temporally Coherent Video ColorizationCode0
SIDAR: Synthetic Image Dataset for Alignment & RestorationCode0
Unsupervised Image Restoration Using Partially Linear DenoisersCode0
Conditional Injective Flows for Bayesian ImagingCode0
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image RestorationCode0
HighEr-Resolution Network for Image Demosaicing and EnhancingCode0
Simultaneous Fidelity and Regularization Learning for Image RestorationCode0
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG^2+ Track 3Code0
Training Image Estimators without Image Ground-TruthCode0
High-dimensional Assisted Generative Model for Color Image RestorationCode0
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial LearningCode0
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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