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 501–525 of 1459 papers

TitleStatusHype
Progressive Reconstruction of Visual Structure for Image InpaintingCode0
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor CompletionCode0
PMS-Net: Robust Haze Removal Based on Patch Map for Single ImagesCode0
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image ProcessingCode0
Plug-and-Play gradient-based denoisers applied to CT image enhancementCode0
Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel EstimationCode0
Dual Residual Networks Leveraging the Potential of Paired Operations for Image RestorationCode0
Phenotype-preserving metric design for high-content image reconstruction by generative inpaintingCode0
Dual High-Order Total Variation Model for Underwater Image RestorationCode0
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization ProblemCode0
Patch-Ordering as a Regularization for Inverse Problems in Image ProcessingCode0
Pathology Image Restoration via Mixture of PromptsCode0
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Path-Restore: Learning Network Path Selection for Image RestorationCode0
Chasing Better Deep Image Priors between Over- and Under-parameterizationCode0
On learning optimized reaction diffusion processes for effective image restorationCode0
DriftRec: Adapting diffusion models to blind JPEG restorationCode0
CFSNet: Toward a Controllable Feature Space for Image RestorationCode0
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiserCode0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
A regularized deep matrix factorized model of matrix completion for image restorationCode0
Posterior Sampling for Image Restoration using Explicit Patch PriorsCode0
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
Neural Architecture Search for Deep Image PriorCode0
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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