SOTAVerified

Deblurring

Deblurring is a computer vision task that involves removing the blurring artifacts from images or videos to restore the original, sharp content. Blurring can be caused by various factors such as camera shake, fast motion, and out-of-focus objects, and can result in a loss of detail and quality in the captured images. The goal of deblurring is to produce a clear, high-quality image that accurately represents the original scene.

( Image credit: Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks )

Papers

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Showing 501–550 of 999 papers

TitleStatusHype
Training Adaptive Reconstruction Networks for Blind Inverse Problems—0
MSSNet: Multi-Scale-Stage Network for Single Image DeblurringCode1
Realistic Blur Synthesis for Learning Image DeblurringCode1
Deep Constrained Least Squares for Blind Image Super-ResolutionCode2
Monotonically Convergent Regularization by Denoising—0
LEDNet: Joint Low-light Enhancement and Deblurring in the DarkCode2
A Survey on Image Deblurring—0
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex RegularizationCode1
VRT: A Video Restoration TransformerCode3
Unfolding a blurred image—0
Denoising Diffusion Restoration ModelsCode2
Deep Image Deblurring: A Survey—0
1000x Faster Camera and Machine Vision with Ordinary Devices—0
Blind Image Deblurring: a Review—0
SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text ImagesCode0
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Defocus Deblur Microscopy via Head-to-Tail Cross-scale Fusion—0
Flow-Guided Sparse Transformer for Video DeblurringCode1
XYDeblur: Divide and Conquer for Single Image DeblurringCode1
Pixel Screening Based Intermediate Correction for Blind Deblurring—0
GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation—0
KNN Local Attention for Image Restoration—0
Adaptive Single Image Deblurring—0
Dynamic Scene Video Deblurring using Non-Local Attention—0
Point spread function estimation for blind image deblurring problems based on framelet transform—0
Face Deblurring Based on Separable Normalization and Adaptive Denormalization—0
Event-guided Deblurring of Unknown Exposure Time Videos—0
Unsupervised Domain-Specific Deblurring using Scale-Specific Attention—0
Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video DeblurringCode1
Improving Image Restoration by Revisiting Global Information AggregationCode2
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative ModelsCode0
Deblurring via Stochastic Refinement—0
MC-Blur: A Comprehensive Benchmark for Image DeblurringCode1
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser—0
Event-Based Fusion for Motion Deblurring with Cross-modal AttentionCode1
Revisiting Temporal Alignment for Video RestorationCode1
FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks—0
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in VideosCode1
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network—0
Human and Scene Motion Deblurring using Pseudo-blur Synthesizer—0
Intriguing Findings of Frequency Selection for Image DeblurringCode1
IR Motion Deblurring—0
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive BoostingCode1
Restormer: Efficient Transformer for High-Resolution Image RestorationCode1
CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction—0
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse LearningCode0
Gaussian Kernel Mixture Network for Single Image Defocus DeblurringCode1
Photon Limited Non-Blind Deblurring Using Algorithm UnrollingCode1
Generative Flows as a General Purpose Solution for Inverse ProblemsCode0
Photon-Limited Deblurring using Algorithm Unrolling—0
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All datasetsGoProHIDE (trained on GOPRO)RealBlur-R (trained on GoPro)RealBlur-JRealBlur-RRealBlur-J (trained on GoPro)RSBlurMSU BASEDDVDBeam-Splitter Deblurring (BSD)BASEDREDS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BSSTNetPSNR35.98—Unverified
2GShift-NetPSNR35.88—Unverified
3DLEFNetPSNR35.61—Unverified
4EFNetPSNR35.46—Unverified
5NIREPSNR35.03—Unverified
6VRTPSNR34.81—Unverified
7AdaRevDPSNR34.6—Unverified
8TurtlePSNR34.5—Unverified
9ID-Blau (FFTformer)PSNR34.36—Unverified
10XYScanNetPSNR33.91—Unverified
#ModelMetricClaimedVerifiedStatus
1MAXIMPSNR (sRGB)32.83—Unverified
2AdaRevDPSNR (sRGB)32.35—Unverified
3ID-Blau (FFTformer)PSNR (sRGB)31.94—Unverified
4LoFormerPSNR (sRGB)31.86—Unverified
5CAPTNetPSNR (sRGB)31.86—Unverified
6XYScanNetPSNR (sRGB)31.74—Unverified
7ID-Blau (Restormer)PSNR (sRGB)31.66—Unverified
8DeepRFT+PSNR (sRGB)31.66—Unverified
9FFTformerPSNR (sRGB)31.62—Unverified
10LaKDNetPSNR (sRGB)31.58—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR (sRGB)36.53—Unverified
2ALGNetPSNR (sRGB)36.35—Unverified
3Uformer-BPSNR (sRGB)36.22—Unverified
4RestormerPSNR (sRGB)36.19—Unverified
5DeepRFTPSNR (sRGB)36.11—Unverified
6DeblurDiNAT-LPSNR (sRGB)36.09—Unverified
7LaKDNetPSNR (sRGB)36.08—Unverified
8MPRNetPSNR (sRGB)35.99—Unverified
9MSSNetPSNR (sRGB)35.93—Unverified
10MAXIMPSNR (sRGB)35.78—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR (sRGB)33.96—Unverified
2MLWNetPSNR (sRGB)33.84—Unverified
3ID-Blau (Stripformer)PSNR (sRGB)33.77—Unverified
4ID-Blau (Restormer)PSNR (sRGB)33.11—Unverified
5ALGNetPSNR (sRGB)32.94—Unverified
6LoFormerPSNR (sRGB)32.9—Unverified
7ID-Blau (FFTformer)PSNR (sRGB)32.88—Unverified
8MAXIMPSNR (sRGB)32.84—Unverified
9DeepRFT+PSNR (sRGB)32.63—Unverified
10FFTformerPSNR (sRGB)32.62—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR (sRGB)41.19—Unverified
2ALGNetPSNR (sRGB)41.16—Unverified
3ID-Blau (Stripformer)PSNR (sRGB)41.06—Unverified
4MLWNetPSNR (sRGB)40.69—Unverified
5ID-Blau (FFTformer)PSNR (sRGB)40.45—Unverified
6ID-Blau (Restormer)PSNR (sRGB)40.31—Unverified
7LoFormerPSNR (sRGB)40.23—Unverified
8FFTformerPSNR (sRGB)40.11—Unverified
9DeepRFT+PSNR (sRGB)40.01—Unverified
10StripformerPSNR (sRGB)39.84—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR (sRGB)30.12—Unverified
2UFPNetPSNR (sRGB)29.87—Unverified
3ALGNetPSNR (sRGB)29.12—Unverified
4Uformer-BPSNR (sRGB)29.06—Unverified
5DeblurDiNAT-LPSNR (sRGB)28.98—Unverified
6RestormerPSNR (sRGB)28.96—Unverified
7DeepRFT+PSNR (sRGB)28.88—Unverified
8MAXIMPSNR (sRGB)28.83—Unverified
9MSSNetPSNR (sRGB)28.79—Unverified
10DeblurGAN-v2PSNR (sRGB)28.7—Unverified
#ModelMetricClaimedVerifiedStatus
1MLWNetAverage PSNR34.94—Unverified
2SegDeblurAverage PSNR34.63—Unverified
3SFNetAverage PSNR34.35—Unverified
4FSNetAverage PSNR34.31—Unverified
5IRNextAverage PSNR34.08—Unverified
6ConvIRAverage PSNR34.06—Unverified
7Uformer-BAverage PSNR33.98—Unverified
8RestormerAverage PSNR33.69—Unverified
9MPRNetAverage PSNR33.61—Unverified
10MIMO-UNet+Average PSNR33.37—Unverified
#ModelMetricClaimedVerifiedStatus
1NAFNet (REDS)Subjective2.84—Unverified
2VRT (GoPro)Subjective2.39—Unverified
3VRT (REDS)Subjective1.57—Unverified
4DeblurGAN InceptionSubjective1.04—Unverified
5MAXIM (REDS)Subjective1.01—Unverified
6Deeprft (GoPro)Subjective0.54—Unverified
7Deeprft (REDS)Subjective0.46—Unverified
8MPR localSubjective0.44—Unverified
9MAXIM (GoPro)Subjective0.21—Unverified
10Restormer localSubjective0.12—Unverified
#ModelMetricClaimedVerifiedStatus
1BSSTNetPSNR34.95—Unverified
2RVRTPSNR34.92—Unverified
3GShift-NetPSNR34.69—Unverified
4VRTPSNR34.27—Unverified
5FGSTPSNR33.5—Unverified
6STDANPSNR33.05—Unverified
7FGSTPSNR33.03—Unverified
8MB2DPSNR32.34—Unverified
9CDVD-TSPPSNR32.13—Unverified
10STFANPSNR31.27—Unverified
#ModelMetricClaimedVerifiedStatus
1TurtlePSNR33.58—Unverified
2CDVD-TSPPSNR31.58—Unverified
3ESTRNNPSNR31.39—Unverified
4PVDNetPSNR31.35—Unverified
5DBNPSNR31.21—Unverified
#ModelMetricClaimedVerifiedStatus
1VRT (GoPro)PSNR31.43—Unverified
2DeblurGAN InceptionPSNR31.17—Unverified
3VRT (REDS)PSNR30.98—Unverified
4MAXIM (REDS)PSNR30.66—Unverified
#ModelMetricClaimedVerifiedStatus
1VRTAverage PSNR36.79—Unverified
2EDVR_DeblurAverage PSNR34.8—Unverified
3DeblurGANAverage PSNR24.09—Unverified
#ModelMetricClaimedVerifiedStatus
1MIMO-UNet + Realistic blurAverage PSNR32.08—Unverified
2SRN-Deblur + Realistic blurAverage PSNR32.06—Unverified
#ModelMetricClaimedVerifiedStatus
1110 Images, 4*4 Stitching, Exact Accuracy2—Unverified
#ModelMetricClaimedVerifiedStatus
1MAXIM-3SPSNR32.83—Unverified
#ModelMetricClaimedVerifiedStatus
1OursMAE0.04—Unverified