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

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Showing 651–700 of 1459 papers

TitleStatusHype
Toward Moiré-Free and Detail-Preserving Demosaicking—0
A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG^2+ Track 3Code0
Mobile Image Restoration via Prior Quantization—0
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution—0
CSI-Inpainter: Enabling Visual Scene Recovery from CSI Time Sequences for Occlusion Removal—0
A Mountain-Shaped Single-Stage Network for Accurate Image RestorationCode1
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsCode1
Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the DarkCode0
Bio-Inspired Simple Neural Network for Low-Light Image Restoration: A Minimalist Approach—0
Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration—0
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge—0
IRNeXt: Rethinking Convolutional Network Design for Image RestorationCode1
Revisiting Implicit Neural Representations in Low-Level VisionCode1
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion ModelsCode2
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image RestorationCode1
Selective Frequency Network for Image RestorationCode1
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display CameraCode1
Towards an Effective and Efficient Transformer for Rain-by-snow Weather RemovalCode1
Recovering Continuous Scene Dynamics from A Single Blurry Image with Events—0
Generative Diffusion Prior for Unified Image Restoration and Enhancement—0
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
Random Weights Networks Work as Loss Prior Constraint for Image Restoration—0
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing—0
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning—0
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyCode0
Learning A Sparse Transformer Network for Effective Image DerainingCode2
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
Inverse problem regularization with hierarchical variational autoencodersCode0
Star-Net: Improving Single Image Desnowing Model With More Efficient Connection and Diverse Feature Interaction—0
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable BankCode1
DiffIR: Efficient Diffusion Model for Image RestorationCode2
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Learning Distortion Invariant Representation for Image Restoration from A Causality PerspectiveCode1
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach—0
MetaUE: Model-based Meta-learning for Underwater Image EnhancementCode0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution—0
SANDFORMER: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration—0
Structured Kernel Estimation for Photon-Limited DeconvolutionCode1
KBNet: Kernel Basis Network for Image RestorationCode2
Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial NetworkCode1
Unlimited-Size Diffusion RestorationCode3
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
TextIR: A Simple Framework for Text-based Editable Image Restoration—0
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising—0
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection—0
Quantized Low-Rank Multivariate Regression with Random Dithering—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