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 226–250 of 1459 papers

TitleStatusHype
Mixed Degradation Image Restoration via Local Dynamic Optimization and Conditional Embedding—0
PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency AdaptationCode1
LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration—0
Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse WeatherCode0
MambaIRv2: Attentive State Space RestorationCode5
Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration—0
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms—0
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models—0
Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images—0
TSFormer: A Robust Framework for Efficient UHD Image Restoration—0
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations—0
Probabilistic Prior Driven Attention Mechanism Based on Diffusion Model for Imaging Through Atmospheric Turbulence—0
All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Model—0
Joint multi-dimensional dynamic attention and transformer for general image restorationCode1
Multi-scale Frequency Enhancement Network for Blind Image Deblurring—0
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration—0
A Modular Conditional Diffusion Framework for Image Reconstruction—0
Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image RestorationCode3
Aquatic-GS: A Hybrid 3D Representation for Underwater Scenes—0
Chasing Better Deep Image Priors between Over- and Under-parameterizationCode0
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionCode0
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture ModelsCode2
High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented TransformerCode1
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset CurationCode5
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
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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