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Image Deblurring

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 396 papers

TitleStatusHype
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelCode3
Perceptual Image Enhancement for Smartphone Real-Time ApplicationsCode0
Explainable bilevel optimization: an application to the Helsinki deblur challenge—0
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver—0
Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior—0
On Adversarial Robustness of Deep Image Deblurring—0
DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior—0
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 ClassificationCode0
Rethinking Blur Synthesis for Deep Real-World Image Deblurring—0
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets—0
NBD-GAP: Non-Blind Image Deblurring Without Clean Target Images—0
Multi-Outputs Is All You Need For DeblurCode1
Generative Adversarial Network (GAN) based Image-Deblurring—0
Event-based Image Deblurring with Dynamic Motion AwarenessCode0
Blind Image Deblurring with Unknown Kernel Size and Substantial NoiseCode4
Learning Degradation Representations for Image DeblurringCode1
REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration—0
Face Deblurring using Dual Camera Fusion on Mobile Phones—0
INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light ConditionsCode1
Continuous Facial Motion DeblurringCode0
Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation—0
Non-blind optical degradation correction via frequency self-adaptive and finetune tacticsCode0
The split Gibbs sampler revisited: improvements to its algorithmic structure and augmented target distributionCode0
SVBR-NET: A Non-Blind Spatially Varying Defocus Blur Removal NetworkCode0
Robust Deep Ensemble Method for Real-world Image DenoisingCode0
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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