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Image Deblurring

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 396 papers

TitleStatusHype
Discriminative Non-blind Deblurring—0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image Deblurring—0
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration—0
Edge Adaptive Hybrid Regularization Model For Image Deblurring—0
Edge-Aware Deep Image Deblurring—0
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior—0
End-to-End Learning for Image Burst Deblurring—0
End-to-end Learning for Joint Depth and Image Reconstruction from Diffracted Rotation—0
Enhanced Fast Iterative Shrinkage Thresholding Algorithm For Linear Inverse Problem—0
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks—0
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset—0
Event-based Motion Deblurring via Multi-Temporal Granularity Fusion—0
Event-based Visible and Infrared Fusion via Multi-task Collaboration—0
Explainable bilevel optimization: an application to the Helsinki deblur challenge—0
Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring—0
F2former: When Fractional Fourier Meets Deep Wiener Deconvolution and Selective Frequency Transformer for Image Deblurring—0
Face Deblurring using Dual Camera Fusion on Mobile Phones—0
Faster gradient descent and the efficient recovery of images—0
FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring—0
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer—0
Fixed Point Algorithm Based on Quasi-Newton Method for Convex Minimization Problem with Application to Image Deblurring—0
FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks—0
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models—0
Frequency-domain Learning with Kernel Prior for Blind Image Deblurring—0
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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