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 626–650 of 1459 papers

TitleStatusHype
Blind Underwater Image Restoration using Co-Operational Regressor Networks—0
Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging—0
Deep priors for satellite image restoration with accurate uncertainties—0
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution—0
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration—0
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion—0
Complexity Experts are Task-Discriminative Learners for Any Image Restoration—0
Hierarchical Information Flow for Generalized Efficient Image Restoration—0
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation—0
GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration—0
Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions—0
Mixed Degradation Image Restoration via Local Dynamic Optimization and Conditional Embedding—0
U2NeRF: Unsupervised Underwater Image Restoration and Neural Radiance Fields—0
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
Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration—0
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms—0
Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images—0
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models—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
Multi-scale Frequency Enhancement Network for Blind Image Deblurring—0
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration—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