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 51–100 of 999 papers

TitleStatusHype
An Improved Optimal Proximal Gradient Algorithm for Non-Blind Image Deblurring—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Unpaired Deblurring via Decoupled Diffusion Model—0
EENet: Frequency-Aware and Spatially Multiscale Network for Single Image DehazingCode0
Multi-Frame Blind Manifold Deconvolution for Rotating Synthetic Aperture Imaging—0
Efficient Transformer for High Resolution Image Motion DeblurringCode0
ClearSight: Human Vision-Inspired Solutions for Event-Based Motion Deblurring—0
Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models—0
Video Deblurring by Sharpness Prior Detection and Edge InformationCode0
DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration—0
Joint Transmission and Deblurring: A Semantic Communication Approach Using Events—0
Soft Knowledge Distillation with Multi-Dimensional Cross-Net Attention for Image Restoration Models Compression—0
Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks—0
MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image RestorationCode2
Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems—0
Quad-Pixel Image Defocus Deblurring: A New Benchmark and Model—0
DynaMoDe-NeRF: Motion-aware Deblurring Neural Radiance Field for Dynamic Scenes—0
UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware PromptsCode1
A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition—0
Parameterized Blur Kernel Prior Learning for Local Motion Deblurring—0
Diffusion-based Event Generation for High-Quality Image DeblurringCode1
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)Code1
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling—0
Generative Adversarial Network on Motion-Blur Image Restoration—0
Solving Inverse Problems via Diffusion Optimal ControlCode1
DarkIR: Robust Low-Light Image RestorationCode3
Bilevel Learning with Inexact Stochastic GradientsCode0
Event-based Motion Deblurring via Multi-Temporal Granularity Fusion—0
Towards Context-aware Convolutional Network for Image Restoration—0
XYScanNet: A State Space Model for Single Image Deblurring—0
ExpRDiff: Short-exposure Guided Diffusion Model for Realistic Local Motion Deblurring—0
Physics Meets Pixels: PDE Models in Image Processing—0
Deep Joint Unrolling for Deblurring and Low-Light Image Enhancement (JUDE)—0
On Motion Blur and Deblurring in Visual Place Recognition—0
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and DeblurringCode1
Deep Lidar-guided Image Deblurring—0
A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing—0
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular VideoCode2
Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain AttentionCode1
Enhancing Sample Generation of Diffusion Models using Noise Level Correction—0
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems—0
Deep priors for satellite image restoration with accurate uncertainties—0
Adaptive High-Pass Kernel Prediction for Efficient Video DeblurringCode0
DIVD: Deblurring with Improved Video Diffusion Model—0
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion ModelsCode1
Unleashing the Power of Data Synthesis in Visual Localization—0
VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference—0
Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime—0
One Diffusion to Generate Them AllCode4
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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