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

Showing 601650 of 999 papers

TitleStatusHype
Face Deblurring Based on Separable Normalization and Adaptive Denormalization0
Event-guided Deblurring of Unknown Exposure Time Videos0
Unsupervised Domain-Specific Deblurring using Scale-Specific Attention0
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative ModelsCode0
Deblurring via Stochastic Refinement0
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser0
FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks0
Human and Scene Motion Deblurring using Pseudo-blur Synthesizer0
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network0
IR Motion Deblurring0
CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction0
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse LearningCode0
Generative Flows as a General Purpose Solution for Inverse ProblemsCode0
Photon-Limited Deblurring using Algorithm Unrolling0
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image0
Motion Deblurring with Real Events0
LODE: Deep Local Deblurring and A New BenchmarkCode0
Edge Prior Augmented Networks for Motion Deblurring on Naturally Blurry Images0
Del-Net: A Single-Stage Network for Mobile Camera ISP0
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement0
Regularising Inverse Problems with Generative Machine Learning Models0
Deep Unfolding with Normalizing Flow Priors for Inverse Problems0
FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network0
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring0
Blind Deblurring for Saturated Images0
Wide Receptive Field and Channel Attention Network for JPEG Compressed Image DeblurringCode0
Gated Spatio-Temporal Attention-Guided Video Deblurring0
Learning a Non-Blind Deblurring Network for Night Blurry Images0
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning0
Learning the optimal Tikhonov regularizer for inverse problemsCode0
A Deep Variational Bayesian Framework for Blind Image Deblurring0
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks0
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding0
High-Frequency aware Perceptual Image Enhancement0
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution0
Helsinki Deblur Challenge 2021: description of photographic data0
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks0
NTIRE 2021 Challenge on Image Deblurring0
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring0
Learning to Jointly Deblur, Demosaick and Denoise Raw Images0
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image DeblurringCode0
Fast and Accurate: Video Enhancement using Sparse Depth0
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks0
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie0
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring0
Optical Flow Estimation from a Single Motion-blurred Image0
Motion-blurred Video Interpolation and Extrapolation0
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks0
FineNet: Frame Interpolation and Enhancement for Face Video Deblurring0
Learning local regularization for variational image restoration0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BSSTNetPSNR35.98Unverified
2GShift-NetPSNR35.88Unverified
3DLEFNetPSNR35.61Unverified
4EFNetPSNR35.46Unverified
5NIREPSNR35.03Unverified
6VRTPSNR34.81Unverified
7AdaRevDPSNR34.6Unverified
8TurtlePSNR34.5Unverified
9ID-Blau (FFTformer)PSNR34.36Unverified
10XYScanNetPSNR33.91Unverified
#ModelMetricClaimedVerifiedStatus
1MAXIMPSNR (sRGB)32.83Unverified
2AdaRevDPSNR (sRGB)32.35Unverified
3ID-Blau (FFTformer)PSNR (sRGB)31.94Unverified
4LoFormerPSNR (sRGB)31.86Unverified
5CAPTNetPSNR (sRGB)31.86Unverified
6XYScanNetPSNR (sRGB)31.74Unverified
7DeepRFT+PSNR (sRGB)31.66Unverified
8ID-Blau (Restormer)PSNR (sRGB)31.66Unverified
9FFTformerPSNR (sRGB)31.62Unverified
10LaKDNetPSNR (sRGB)31.58Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR (sRGB)36.53Unverified
2ALGNetPSNR (sRGB)36.35Unverified
3Uformer-BPSNR (sRGB)36.22Unverified
4RestormerPSNR (sRGB)36.19Unverified
5DeepRFTPSNR (sRGB)36.11Unverified
6DeblurDiNAT-LPSNR (sRGB)36.09Unverified
7LaKDNetPSNR (sRGB)36.08Unverified
8MPRNetPSNR (sRGB)35.99Unverified
9MSSNetPSNR (sRGB)35.93Unverified
10MAXIMPSNR (sRGB)35.78Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR (sRGB)33.96Unverified
2MLWNetPSNR (sRGB)33.84Unverified
3ID-Blau (Stripformer)PSNR (sRGB)33.77Unverified
4ID-Blau (Restormer)PSNR (sRGB)33.11Unverified
5ALGNetPSNR (sRGB)32.94Unverified
6LoFormerPSNR (sRGB)32.9Unverified
7ID-Blau (FFTformer)PSNR (sRGB)32.88Unverified
8MAXIMPSNR (sRGB)32.84Unverified
9DeepRFT+PSNR (sRGB)32.63Unverified
10FFTformerPSNR (sRGB)32.62Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR (sRGB)41.19Unverified
2ALGNetPSNR (sRGB)41.16Unverified
3ID-Blau (Stripformer)PSNR (sRGB)41.06Unverified
4MLWNetPSNR (sRGB)40.69Unverified
5ID-Blau (FFTformer)PSNR (sRGB)40.45Unverified
6ID-Blau (Restormer)PSNR (sRGB)40.31Unverified
7LoFormerPSNR (sRGB)40.23Unverified
8FFTformerPSNR (sRGB)40.11Unverified
9DeepRFT+PSNR (sRGB)40.01Unverified
10StripformerPSNR (sRGB)39.84Unverified
#ModelMetricClaimedVerifiedStatus
1AdaRevDPSNR (sRGB)30.12Unverified
2UFPNetPSNR (sRGB)29.87Unverified
3ALGNetPSNR (sRGB)29.12Unverified
4Uformer-BPSNR (sRGB)29.06Unverified
5DeblurDiNAT-LPSNR (sRGB)28.98Unverified
6RestormerPSNR (sRGB)28.96Unverified
7DeepRFT+PSNR (sRGB)28.88Unverified
8MAXIMPSNR (sRGB)28.83Unverified
9MSSNetPSNR (sRGB)28.79Unverified
10MPRNetPSNR (sRGB)28.7Unverified
#ModelMetricClaimedVerifiedStatus
1MLWNetAverage PSNR34.94Unverified
2SegDeblurAverage PSNR34.63Unverified
3SFNetAverage PSNR34.35Unverified
4FSNetAverage PSNR34.31Unverified
5IRNextAverage PSNR34.08Unverified
6ConvIRAverage PSNR34.06Unverified
7Uformer-BAverage PSNR33.98Unverified
8RestormerAverage PSNR33.69Unverified
9MPRNetAverage PSNR33.61Unverified
10MIMO-UNet+Average PSNR33.37Unverified
#ModelMetricClaimedVerifiedStatus
1NAFNet (REDS)Subjective2.84Unverified
2VRT (GoPro)Subjective2.39Unverified
3VRT (REDS)Subjective1.57Unverified
4DeblurGAN InceptionSubjective1.04Unverified
5MAXIM (REDS)Subjective1.01Unverified
6Deeprft (GoPro)Subjective0.54Unverified
7Deeprft (REDS)Subjective0.46Unverified
8MPR localSubjective0.44Unverified
9MAXIM (GoPro)Subjective0.21Unverified
10Restormer localSubjective0.12Unverified
#ModelMetricClaimedVerifiedStatus
1BSSTNetPSNR34.95Unverified
2RVRTPSNR34.92Unverified
3GShift-NetPSNR34.69Unverified
4VRTPSNR34.27Unverified
5FGSTPSNR33.5Unverified
6STDANPSNR33.05Unverified
7FGSTPSNR33.03Unverified
8MB2DPSNR32.34Unverified
9CDVD-TSPPSNR32.13Unverified
10STFANPSNR31.27Unverified
#ModelMetricClaimedVerifiedStatus
1TurtlePSNR33.58Unverified
2CDVD-TSPPSNR31.58Unverified
3ESTRNNPSNR31.39Unverified
4PVDNetPSNR31.35Unverified
5DBNPSNR31.21Unverified
#ModelMetricClaimedVerifiedStatus
1VRT (GoPro)PSNR31.43Unverified
2DeblurGAN InceptionPSNR31.17Unverified
3VRT (REDS)PSNR30.98Unverified
4MAXIM (REDS)PSNR30.66Unverified
#ModelMetricClaimedVerifiedStatus
1VRTAverage PSNR36.79Unverified
2EDVR_DeblurAverage PSNR34.8Unverified
3DeblurGANAverage PSNR24.09Unverified
#ModelMetricClaimedVerifiedStatus
1MIMO-UNet + Realistic blurAverage PSNR32.08Unverified
2SRN-Deblur + Realistic blurAverage PSNR32.06Unverified
#ModelMetricClaimedVerifiedStatus
1110 Images, 4*4 Stitching, Exact Accuracy2Unverified
#ModelMetricClaimedVerifiedStatus
1MAXIM-3SPSNR32.83Unverified
#ModelMetricClaimedVerifiedStatus
1OursMAE0.04Unverified