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Image Deblurring

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 396 papers

TitleStatusHype
Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain AttentionCode1
GS-Blur: A 3D Scene-Based Dataset for Realistic Image DeblurringCode1
E2GS: Event Enhanced Gaussian SplattingCode1
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play PriorsCode1
Learning Enriched Features via Selective State Spaces Model for Efficient Image DeblurringCode1
DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen DomainsCode1
Deep, convergent, unrolled half-quadratic splitting for image deconvolutionCode1
Efficient Image Deblurring Networks based on Diffusion ModelsCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Exploring the potential of channel interactions for image restorationCode1
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentationCode1
Image Restoration via Frequency SelectionCode1
Prompt-based Ingredient-Oriented All-in-One Image RestorationCode1
SAM-Deblur: Let Segment Anything Boost Image DeblurringCode1
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolutionCode1
Learning A Coarse-to-Fine Diffusion Transformer for Image RestorationCode1
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
A Mountain-Shaped Single-Stage Network for Accurate Image RestorationCode1
IRNeXt: Rethinking Convolutional Network Design for Image RestorationCode1
Image Deblurring by Exploring In-depth Properties of TransformerCode1
Mixed Hierarchy Network for Image RestorationCode1
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
A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the WildCode1
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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