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Image Deblurring

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 396 papers

TitleStatusHype
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
Depth Estimation and Image Restoration by Deep Learning from Defocused Images—0
Mixed Hierarchy Network for Image RestorationCode1
Take a Prior from Other Tasks for Severe Blur Removal—0
A survey on facial image deblurring—0
Revisiting Image Deblurring with an Efficient ConvNetCode1
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methodsCode1
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion RestorationCode1
Image Restoration with Mean-Reverting Stochastic Differential EquationsCode2
A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the WildCode1
E2NeRF: Event Enhanced Neural Radiance Fields from Blurry ImagesCode1
Multi-Scale Residual Low-Pass Filter Network for Image Deblurring—0
Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment—0
Single Image Deblurring with Row-dependent Blur Magnitude—0
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image DeblurringCode1
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
MedDeblur: Medical Image Deblurring with Residual Dense Spatial-Asymmetric AttentionCode1
NFResNet: Multi-scale and U-shaped Networks for Deblurring—0
Multiscale Structure Guided Diffusion for Image Deblurring—0
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelCode4
Enhanced Fast Iterative Shrinkage Thresholding Algorithm For Linear Inverse Problem—0
Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild—0
To be or not to be stable, that is the question: understanding neural networks for inverse problemsCode0
Efficient Frequency Domain-based Transformers for High-Quality Image DeblurringCode2
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text ImagesCode1
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All datasetsGoProHIDEHIDE (trained on GOPRO)RealBlur-JRealBlur-RRealBlur-R(trained on GoPro)Real-world Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EVSSMPSNR34.5—Unverified
2MDTPSNR34.26—Unverified
3fftformerPSNR34.21—Unverified
4LoFormerPSNR34.09—Unverified
5UFPDeblurPSNR34.06—Unverified
6ALGNet-BPSNR34.05—Unverified
7MR-VNetPSNR34.04—Unverified
8Hi-IR-LPSNR33.99—Unverified
9GRLPSNR33.93—Unverified
10Instruct-IPTPSNR33.86—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR32.35—Unverified
2EVSSMPSNR31.97—Unverified
3ALGNet-BPSNR31.68—Unverified
4M3SNetPSNR31.49—Unverified
5MAXIM-3SSSIM0.96—Unverified
#ModelMetricClaimedVerifiedStatus
1Hi-IR-LPSNR31.64—Unverified
2M3SNetPSNR31.49—Unverified
3MHNetPSNR30.71—Unverified
#ModelMetricClaimedVerifiedStatus
1EVSSMPSNR34.15—Unverified
#ModelMetricClaimedVerifiedStatus
1EVSSMPSNR41.04—Unverified
#ModelMetricClaimedVerifiedStatus
1SDWNetPSNR35.85—Unverified
#ModelMetricClaimedVerifiedStatus
1EVSSMPSNR48.78—Unverified