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 601–650 of 1459 papers

TitleStatusHype
Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering—0
Sea-ing in Low-lightCode0
JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration—0
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models—0
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper GranularityCode0
Generative Adversarial Network on Motion-Blur Image Restoration—0
UNet--: Memory-Efficient and Feature-Enhanced Network Architecture based on U-Net with Reduced Skip-Connections—0
NeuroPump: Simultaneous Geometric and Color Rectification for Underwater Images—0
Personalized Generative Low-light Image Denoising and Enhancement—0
Distilled Pooling Transformer Encoder for Efficient Realistic Image DehazingCode0
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration—0
Towards Context-aware Convolutional Network for Image Restoration—0
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification—0
Matrix Completion via Residual Spectral Matching—0
Are Conditional Latent Diffusion Models Effective for Image Restoration?—0
ExpRDiff: Short-exposure Guided Diffusion Model for Realistic Local Motion Deblurring—0
Convergence Analysis of a Proximal Stochastic Denoising Regularization Algorithm—0
EchoIR: Advancing Image Restoration with Echo Upsampling and Bi-Level Optimization—0
A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing—0
InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention—0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction—0
Equivariant Denoisers for Image Restoration—0
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration—0
Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration—0
LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model—0
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