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 651–700 of 1459 papers

TitleStatusHype
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
Learning Discriminative Shrinkage Deep Networks for Image DeconvolutionCode0
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
An Educated Warm Start For Deep Image Prior-Based Micro CT ReconstructionCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Image Reconstruction via Deep Image Prior SubspacesCode0
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined DistortionsCode0
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary LearningCode0
Convergent Primal-Dual Plug-and-Play Image Restoration: A General Algorithm and ApplicationsCode0
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style TransferCode0
Iterative Residual CNNs for Burst Photography ApplicationsCode0
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality AssessmentCode0
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse ProblemsCode0
Intra and Inter Parser-Prompted Transformers for Effective Image RestorationCode0
Inverse problem regularization with hierarchical variational autoencodersCode0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
Extremely Low-light Image Enhancement with Scene Text RestorationCode0
MemNet: A Persistent Memory Network for Image RestorationCode0
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal—0
Controllable Image Restoration for Under-Display Camera in Smartphones—0
Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration—0
Exploring Diffusion with Test-Time Training on Efficient Image Restoration—0
What's in the Image? Explorable Decoding of Compressed Images—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models—0
Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration—0
Content-Aware Depth-Adaptive Image Restoration—0
Evolutionary Neural Architecture Search for Image Restoration—0
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence—0
Alternative design of DeepPDNet in the context of image restoration—0
Adaptively Sparse Regularization for Blind Image Restoration—0
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes—0
Estimation and Restoration of Compositional Degradation Using Convolutional Neural Networks—0
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity—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
EquiReg: Equivariance Regularized Diffusion for Inverse Problems—0
Consistency Posterior Sampling for Diverse Image Synthesis—0
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations—0
Epigraphical Relaxation for Minimizing Layered Mixed Norms—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction—0
Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing—0
Concatenated Attention Neural Network for Image Restoration—0
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach—0
ACL: Activating Capability of Linear Attention for Image Restoration—0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance—0
Show:102550
← PrevPage 14 of 30Next →
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