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Image Deblurring

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 396 papers

TitleStatusHype
On Motion Blur and Deblurring in Visual Place Recognition—0
Deep Lidar-guided Image Deblurring—0
Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain AttentionCode1
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems—0
Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime—0
Hierarchical Information Flow for Generalized Efficient Image Restoration—0
One Diffusion to Generate Them AllCode4
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models—0
On Adapting Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction—0
Multi-scale Frequency Enhancement Network for Blind Image Deblurring—0
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration—0
GS-Blur: A 3D Scene-Based Dataset for Realistic Image DeblurringCode1
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing FlowsCode0
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior—0
F2former: When Fractional Fourier Meets Deep Wiener Deconvolution and Selective Frequency Transformer for Image Deblurring—0
Self-Supervised Multi-Scale Network for Blind Image Deblurring via Alternating Optimization—0
Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser NetworkCode0
A Unified Plug-and-Play Algorithm with Projected Landweber Operator for Split Convex Feasibility Problems—0
Restoring Real-World Degraded Events Improves Deblurring QualityCode0
LoFormer: Local Frequency Transformer for Image DeblurringCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image RestorationCode0
Sparse-DeRF: Deblurred Neural Radiance Fields from Sparse View—0
NSD-DIL: Null-Shot Deblurring Using Deep Identity Learning—0
Revitalizing Convolutional Network for Image RestorationCode2
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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