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 351–400 of 999 papers

TitleStatusHype
Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework with Misaligned Training PairsCode0
Toward Efficient Deep Blind RAW Image Restoration—0
DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurring—0
Taming Diffusion Models for Image Restoration: A Review—0
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC—0
Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction—0
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior—0
Solving Video Inverse Problems Using Image Diffusion Models—0
F2former: When Fractional Fourier Meets Deep Wiener Deconvolution and Selective Frequency Transformer for Image Deblurring—0
DAVIDE: Depth-Aware Video DeblurringCode0
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
VDPI: Video Deblurring with Pseudo-inverse Modeling—0
A Preliminary Exploration Towards General Image Restoration—0
A Unified Plug-and-Play Algorithm with Projected Landweber Operator for Split Convex Feasibility Problems—0
Rotation center identification based on geometric relationships for rotary motion deblurring—0
Restoring Real-World Degraded Events Improves Deblurring QualityCode0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
FDWST: Fingerphoto Deblurring using Wavelet Style Transfer—0
EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting—0
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image RestorationCode0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images—0
Prototype Clustered Diffusion Models for Versatile Inverse Problems—0
Sparse-DeRF: Deblurred Neural Radiance Fields from Sparse View—0
NSD-DIL: Null-Shot Deblurring Using Deep Identity Learning—0
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations—0
DaBiT: Depth and Blur informed Transformer for Joint Refocusing and Super-ResolutionCode0
Blind Inversion using Latent Diffusion Priors—0
Learning Frequency-Aware Dynamic Transformers for All-In-One Image Restoration—0
Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods—0
Deblurring Neural Radiance Fields with Event-driven Bundle Adjustment—0
Proximal Interacting Particle Langevin AlgorithmsCode0
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt GuidanceCode0
A Dictionary Based Approach for Removing Out-of-Focus BlurCode0
Bayesian Conditioned Diffusion Models for Inverse Problems—0
AMSA-UNet: An Asymmetric Multiple Scales U-net Based on Self-attention for Deblurring—0
Blind Image Deblurring with FFT-ReLU Sparsity PriorCode0
DDR: Exploiting Deep Degradation Response as Flexible Image DescriptorCode0
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse ProblemsCode0
Imitating the Functionality of Image-to-Image Models Using a Single Example—0
EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images—0
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
A New Cross-Space Total Variation Regularization Model for Color Image Restoration with Quaternion Blur Operator—0
SEL-CIE: Knowledge-Guided Self-Supervised Learning Framework for CIE-XYZ Reconstruction from Non-Linear sRGB Images—0
MCMS: Multi-Category Information and Multi-Scale Stripe Attention for Blind Motion Deblurring—0
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts—0
One-Shot Image Restoration—0
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization—0
DeblurGS: Gaussian Splatting for Camera Motion Blur—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