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 701–750 of 1459 papers

TitleStatusHype
Depth Estimation and Image Restoration by Deep Learning from Defocused Images—0
Restoration based Generative ModelsCode0
Image Reconstruction via Deep Image Prior SubspacesCode0
Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scansCode1
Mixed Hierarchy Network for Image RestorationCode1
Robust Unsupervised StyleGAN Image RestorationCode1
I^2SB: Image-to-Image Schrödinger BridgeCode2
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Energy-Inspired Self-Supervised Pretraining for Vision Models—0
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond—0
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiserCode0
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration—0
Image Restoration with Mean-Reverting Stochastic Differential EquationsCode2
Improving Cross-modal Alignment for Text-Guided Image Inpainting—0
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks—0
Recent progress in image denoising: A training strategy perspective—0
DarkVision: A Benchmark for Low-light Image/Video Perception—0
LVRNet: Lightweight Image Restoration for Aerial Images under Low VisibilityCode1
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild—0
Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition—0
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation—0
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras—0
Multi-weather Image Restoration via Domain Translation—0
Focal Network for Image RestorationCode1
Fingerprinting Deep Image Restoration Models—0
Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video DatasetCode1
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting—0
Comprehensive and Delicate: An Efficient Transformer for Image RestorationCode1
K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring—0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery—0
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions—0
Deep Random Projector: Accelerated Deep Image PriorCode1
Ingredient-Oriented Multi-Degradation Learning for Image RestorationCode1
All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations—0
Context-Aware Pretraining for Efficient Blind Image DecompositionCode1
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
Vector Quantization With Self-Attention for Quality-Independent Representation Learning—0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning—0
Single Cell Training on Architecture Search for Image Denoising—0
NFResNet: Multi-scale and U-shaped Networks for Deblurring—0
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow RemovalCode1
Relationship Quantification of Image Degradations—0
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information—0
QC-StyleGAN -- Quality Controllable Image Generation and ManipulationCode1
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelCode4
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study—0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices—0
Cross Aggregation Transformer for Image RestorationCode1
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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