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 551–600 of 1459 papers

TitleStatusHype
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration—0
Intra and Inter Parser-Prompted Transformers for Effective Image RestorationCode0
Towards properties of adversarial image perturbations—0
SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model—0
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion—0
Pathology Image Restoration via Mixture of PromptsCode0
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences—0
Hybrid Agents for Image Restoration—0
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion—0
Multi-Agent Image Restoration—0
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution—0
Boosting Diffusion-Based Text Image Super-Resolution Model Towards Generalized Real-World Scenarios—0
ERetinex: Event Camera Meets Retinex Theory for Low-Light Image EnhancementCode0
Rapid Bone Scintigraphy Enhancement via Semantic Prior Distillation from Segment Anything Model—0
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications—0
Wavelet-Enhanced Desnowing: A Novel Single Image Restoration Approach for Traffic Surveillance under Adverse Weather Conditions—0
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems—0
Dynamic Degradation Decomposition Network for All-in-One Image Restoration—0
Multi-level Attention-guided Graph Neural Network for Image Restoration—0
RetinaRegen: A Hybrid Model for Readability and Detail Restoration in Fundus Images—0
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
MRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Efficient Image Restoration via Latent Consistency Flow Matching—0
Blind Visible Watermark Removal with Morphological Dilation—0
Shape from Semantics: 3D Shape Generation from Multi-View Semantics—0
Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration—0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image—0
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration—0
Binary Diffusion Probabilistic Model—0
UniUIR: Considering Underwater Image Restoration as An All-in-One Learner—0
Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects—0
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior—0
Proxies for Distortion and Consistency with Applications for Real-World Image Restoration—0
SILO: Solving Inverse Problems with Latent Operators—0
DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration—0
Soft Knowledge Distillation with Multi-Dimensional Cross-Net Attention for Image Restoration Models Compression—0
Knowledge Distillation for Image Restoration : Simultaneous Learning from Degraded and Clean Images—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
Convergent Primal-Dual Plug-and-Play Image Restoration: A General Algorithm and ApplicationsCode0
Sea-ing in Low-lightCode0
ACL: Activating Capability of Linear Attention for Image Restoration—0
Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering—0
Consistency Posterior Sampling for Diverse Image Synthesis—0
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution—0
Dual Prompting Image Restoration with Diffusion Transformers—0
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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