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 451–500 of 1459 papers

TitleStatusHype
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather ConditionsCode1
COLA-Net: Collaborative Attention Network for Image RestorationCode1
A Comparative Study of Image Restoration Networks for General Backbone Network DesignCode1
Under-Display Camera Image Restoration with Scattering EffectCode1
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption DetectionCode1
GenISP: Neural ISP for Low-Light Machine CognitionCode1
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal ControlCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
UniProcessor: A Text-induced Unified Low-level Image ProcessorCode1
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted DataCode1
Exploring and Evaluating Image Restoration Potential in Dynamic ScenesCode1
Compound Multi-branch Feature Fusion for Real Image RestorationCode1
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display CameraCode1
Graph Image Prior for Unsupervised Dynamic Cardiac Cine MRI ReconstructionCode1
HiFaceGAN: Face Renovation via Collaborative Suppression and ReplenishmentCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Joint multi-dimensional dynamic attention and transformer for general image restorationCode1
MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-ResolutionCode1
Controllable Image Restoration for Under-Display Camera in Smartphones—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
Alternative design of DeepPDNet in the context of image restoration—0
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
Adaptively Sparse Regularization for Blind Image Restoration—0
ACL: Activating Capability of Linear Attention for Image Restoration—0
Generative Diffusion Prior for Unified Image Restoration and Enhancement—0
Estimation and Restoration of Compositional Degradation Using Convolutional Neural Networks—0
ERL-Net: Entangled Representation Learning for Single Image De-Raining—0
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration—0
Equivariant Denoisers for Image Restoration—0
Consistency Posterior Sampling for Diverse Image Synthesis—0
EquiReg: Equivariance Regularized Diffusion for Inverse Problems—0
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations—0
Generative Adversarial Network on Motion-Blur Image Restoration—0
Epigraphical Relaxation for Minimizing Layered Mixed Norms—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
Concatenated Attention Neural Network for Image Restoration—0
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity—0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction—0
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes—0
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging—0
Evolutionary Neural Architecture Search for Image Restoration—0
Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing—0
Content-Aware Depth-Adaptive Image Restoration—0
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach—0
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction—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