GoPro Benchmark (Image Deblurring) | Papers With Code
GitHub - subeeshvasu/Awesome-Deblurring: A curated list of resources for Image and Video Deblurring
目录
Single-Image-Blind-Motion-Deblurring (non-DL)
Single-Image-Blind-Motion-Deblurring (DL)
Non-Blind-Deblurring
(Multi-image/Video)-Motion-Deblurring
Challenges on Motion Deblurring
Other Closely Related Works
Defocus Deblurring and Potential Datasets
Benchmark Datasets on Motion Deblurring
Year | Pub | Paper | Repo |
---|---|---|---|
2006 | TOG | Removing camera shake from a single photograph | Code & Project page |
2007 | CVPR | Single image motion deblurring using transparency | |
2008 | CVPR | Psf estimation using sharp edge prediction | Project page |
2008 | TOG | High-quality motion deblurring from a single image | Code & Project page |
2009 | TOG | Fast motion deblurring | |
2009 | CVPR | Image deblurring and denoising using color priors | Project page |
2010 | CVPR | Efficient ̈filter flow for space-variant multiframe blind deconvolution | |
2010 | CVPR | Non-uniform deblurring for shaken images | Code & Project page |
2010 | CVPR | Denoising vs. deblurring: HDR imaging techniques using moving cameras | |
2010 | ECCV | Single image deblurring using motion density functions | Project page |
2010 | ECCV | Two-phase kernel estimation for robust motion deblurring | Code & Project page |
2010 | NIPS | Space-variant single-image blind deconvolution for removing camera shake | |
2011 | CVPR | Blind deconvolution using a normalized sparsity measure | Code & Project page |
2011 | CVPR | Blur kernel estimation using the radon transform | Code |
2011 | CVPR | Exploring aligned complementary image pair for blind motion deblurring | |
2011 | ICCV | Fast removal of non-uniform camera shake | |
2011 | IJCV | The non-parametric sub-pixel local point spread function estimation is a well posed problem | |
2012 | ECCV | Blur-kernel estimation from spectral irregularities | |
2012 | ACCV | MRF-based Blind Image Deconvolution | |
2012 | TIP | Framelet-based Blind Motion deblurring from a single Image | |
2013 | CVPR | Unnatural L0 sparse representation for natural image deblurring | Code & Project page |
2013 | CVPR | Handling noise in single image deblurring using directional filters | |
2013 | NIPS | Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty | Project page |
2013 | ICCV | Dynamic Scene Deblurring | |
2013 | ICCP | Edge-based blur kernel estimation using patch priors | Project page & Results & Dataset |
2014 | CVPR | Deblurring Text Images via L0 -Regularized Intensity and Gradient Prior | Code & Project page |
2014 | CVPR | Segmentation-Free Dynamic Scene Deblurring | |
2014 | CVPR | Separable Kernel for Image Deblurring | |
2014 | CVPR | Deblurring Low-light Images with Light Streaks | Code & Project page |
2014 | CVPR | Joint depth estimation and camera shake removal from single blurry image | |
2014 | ECCV | Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information | |
2014 | ECCV | Deblurring Face Images with Exemplars | Code & Project page |
2014 | ECCV | Blind deblurring using internal patch recurrence | Code & Project page |
2014 | NIPS | Scale Adaptive Blind Deblurring | Project page |
2015 | CVPR | Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation | Project page |
2015 | CVPR | Kernel Fusion for Better Image Deblurring | Project page |
2015 | ICCV | Class-Specific Image Deblurring | Code & Project page |
2015 | TIP | Coupled Learning for Facial Deblur | |
2016 | CVPR | Blind image deblurring using dark channel prior | Code & Project page |
2016 | CVPR | Robust Kernel Estimation with Outliers Handling for Image Deblurring | Code |
2016 | CVPR | Blind image deconvolution by automatic gradient activation | |
2017 | CVPR | Image deblurring via extreme channels prior | Code & Project page |
2017 | CVPR | From local to global: Edge profiles to camera motion in blurred images | Project page & Results-on-benchmark-datasets |
2017 | ICCV | Blind Image Deblurring with Outlier Handling | Code |
2017 | ICCV | Self-paced Kernel Estimation for Robust Blind Image Deblurring | Code,Results |
2017 | ICCV | Convergence Analysis of MAP based Blur Kernel Estimation | |
2018 | ECCV | Normalized Blind Deconvolution | Code |
2018 | ECCV | Deblurring Natural Image Using Super-Gaussian Fields | Code |
2019 | CVPR | Blind Image Deblurring With Local Maximum Gradient Prior | Code |
2019 | CVPR | Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring | Results-on-benchmark-datasets |
2019 | CVPR | A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring | |
2019 | TIP | Graph-Based Blind Image Deblurring From a Single Photograph | Code |
2019 | TPAMI | Surface-aware Blind Image Deblurring | |
2019 | TCSVT | Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior | |
2020 | ECCV | OID: Outlier Identifying and Discarding in Blind Image Deblurring | Code&Data |
2020 | ECCV | Enhanced Sparse Model for Blind Deblurring | Code |
2021 | CVPR | Blind Deblurring for Saturated Images | Code&Data |
2021 | TCI | Polyblur: Removing mild blur by polynomial reblurring | |
2021 | SPIC | Fast blind deconvolution using a deeper sparse patch-wise maximum gradient prior | |
2021 | TCSVT | Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization | Code |
2022 | CVPR | Pixel Screening Based Intermediate Correction for Blind Deblurring |
Year | Pub | Paper | Repo |
---|---|---|---|
2015 | CVPR | Learning a convolutional neural network for non-uniform motion blur removal | Code 1,Code 2 |
2015 | BMVC | Convolutional neural networks for direct text deblurring | Code and Project Page |
2016 | ECCV | A neural approach to blind motion deblurring | Code |
2016 | PAMI | Learning to deblur | |
2017 | CVPR | Deep multi-scale convolutional neural network for dynamic scene deblurring | Code |
2017 | CVPR | From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur | Code & Project page |
2017 | ICCV | Blur-Invariant Deep Learning for Blind Deblurring | |
2017 | ICCV | Learning to Super-resolve Blurry Face and Text Images | Code & Project page |
2017 | ICCV | Learning Discriminative Data Fitting Functions for Blind Image Deblurring | Code |
2018 | ICIP | Semi-supervised Learning of Camera Motion from a Blurred Image | |
2018 | TIP | Motion blur kernel estimation via deep learning | Code & Project page |
2018 | CVPR | Deep Semantic Face Deblurring | Code |
2018 | CVPR | Learning a Discriminative Prior for Blind Image Deblurring | Code & Project page |
2018 | CVPR | Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks | Code |
2018 | CVPR | Scale-recurrent network for deep image deblurring | Code |
2018 | CVPR | Deblurgan: Blind motion deblurring using conditional adversarial networks | Code-Pytorch |
2018 | ECCV | Unsupervised Class-Specific Deblurring | |
2018 | BMVC | Gated Fusion Network for Joint Image Deblurring and Super-Resolution | Code |
2019 | WACV | Gyroscope-Aided Motion Deblurring with Deep Networks | Code |
2019 | CVPR | Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections | |
2019 | CVPR | Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring | Code |
2019 | CVPR | Unsupervised Domain-Specific Deblurring via Disentangled Representations | Code |
2019 | CVPR | Bringing Alive Blurred Moments | Project page & Results-on-benchmark-datasets |
2019 | CVPR | Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution | |
2019 | ICCV | DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better | Code |
2019 | ICCV (HIDE) | Human-Aware Motion Deblurring | |
2019 | BMVC | Blind image deconvolution using deep generative priors | |
2019 | ACMMM | Tell Me Where It is Still Blurry: Adversarial Blurred Region Mining and Refining | |
2019 | IJCV | Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement | Code |
2020 | AAAI | Learning to Deblur Face Images via Sketch Synthesis | |
2020 | AAAI | Region-Adaptive Dense Network for Efficient Motion Deblurring | |
2020 | WACV | DAVID: Dual-Attentional Video Deblurring | |
2020 | CVPR | Neural Blind Deconvolution Using Deep Priors | Code |
2020 | CVPR | Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring | |
2020 | CVPR | Deblurring by Realistic Blurring | Code |
2020 | CVPR | Learning Event-Based Motion Deblurring | |
2020 | CVPR | Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training | |
2020 | CVPR | Deblurring using Analysis-Synthesis Networks Pair | |
2020 | ECCV | Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training | |
2020 | TIP | Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling | |
2020 | TIP | Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks | Code |
2020 | TIP | Dark and bright channel prior embedded network for dynamic scene deblurring | Code |
2020 | TIP | Dynamic Scene Deblurring by Depth Guided Model | |
2020 | IEEEAccess | Scale-Iterative Upscaling Network for Image Deblurring | Code |
2020 | ACCV | Human Motion Deblurring using Localized Body Prior | |
2020 | TPAMI | Physics-Based Generative Adversarial Models for Image Restoration and Beyond | Code |
2020 | TCI | Blind Image Deconvolution using Deep Generative Priors | |
2020 | TMM | Raw Image Deblurring | Dataset |
2020 | Arxiv | Blur Invariant Kernel-Adaptive Network for Single Image Blind deblurring | |
2021 | TPAMI | Exposure Trajectory Recovery from Motion Blur | Code |
2021 | Arxiv | BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring | Code |
2021 | CVPR | Multi-Stage Progressive Image Restoration | Code |
2021 | CVPR | DeFMO: Deblurring and Shape Recovery of Fast Moving Objects | Code |
2021 | CVPR | Blind Deblurring for Saturated Images | |
2021 | CVPR | Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning | |
2021 | CVPR | Explore Image Deblurring via Encoded Blur Kernel Space | Code |
2021 | CVPR | Pre-trained image processing transformer | Code |
2021 | CVPR | Multi-stage progressive image restoration | Code |
2021 | CVPRW | Hinet: Half instance normalization network for image restoration | Code |
2021 | ICCV | Spatially-Adaptive Image Restoration using Distortion-Guided Networks | Code |
2021 | ICCV | Rethinking Coarse-To-Fine Approach in Single Image Deblurring | Code |
2021 | ICCV | Perceptual Variousness Motion Deblurring With Light Global Context Refinement | |
2021 | ICCV | Pyramid Architecture Search for Real-Time Image Deblurring | |
2021 | ICCV | Searching for Controllable Image Restoration Networks | Code |
2021 | ICCVW | Sdwnet: A straight dilated network with wavelet transformation for image deblurring | Code |
2021 | TIP | Structure-Aware Motion Deblurring Using Multi-Adversarial Optimized CycleGAN | |
2021 | JSTS | Degradation Aware Approach to Image Restoration Using Knowledge Distillation | |
2021 | Arxiv | Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition | Code |
2021 | Arxiv | Clean Images are Hard to Reblur: A New Clue for Deblurring | |
2021 | Arxiv | Deep residual fourier transformation for single image deblurring | Code |
2021 | CVIU | Single-image deblurring with neural networks: A comparative survey | |
2021 | TIP | Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding | |
2021 | NC | Deep Robust Image Deblurring via Blur Distilling and Information Comparison in Latent Space | |
2022 | IJCV | Deep Image Deblurring: A Survey | |
2022 | WACV | Deep Feature Prior Guided Face Deblurring | |
2022 | CVPR | Restormer: Efficient transformer for high-resolution image restoration | Code |
2022 | CVPR | Maxim: Multi-axis mlp for image processing | Code |
2022 | CVPR | Uformer: A general u-shaped transformer for image restoration | Code |
2022 | CVPR | Deblurring via Stochastic Refinement | |
2022 | CVPR | XYDeblur: Divide and Conquer for Single Image Deblurring | |
2022 | CVPR | Deblur-NeRF: Neural Radiance Fields From Blurry Images | Code |
2022 | CVPR | All-In-One Image Restoration for Unknown Corruption | Code |
2022 | CVPR | Exploring and Evaluating Image Restoration Potential in Dynamic Scenes | |
2022 | CVPR | Deep Generalized Unfolding Networks for Image Restoration | Code |
2022 | CVPR | GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation | |
2022 | CVPRW | Blind Non-Uniform Motion Deblurring Using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency | |
2022 | CVPRW | Motion Aware Double Attention Network for Dynamic Scene Deblurring | |
2022 | ECCV | Stripformer: Strip Transformer for Fast Image Deblurring | Code |
2022 | ECCV | Simple baselines for image restoration | Code |
2022 | ECCV | D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration | Code |
2022 | ECCV | Improving Image Restoration by Revisiting Global Information Aggregation | Code |
2022 | ECCV | Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance | Code |
2022 | ECCV | Learning Degradation Representations for Image Deblurring | Code |
2022 | ECCV | Realistic Blur Synthesis for Learning Image Deblurring | |
2022 | ECCV | Event-based Fusion for Motion Deblurring with Cross-modal Attention | Code |
2022 | Arxiv | Multi-scale-stage network for single image deblurring |
Year | Pub | Paper | Repo |
---|---|---|---|
2006 | IJCV | Image deblurring in the presence of impulsive noise | |
2009 | NIPS | Fast image deconvolution using hyper-laplacian priors | Code & Project page |
2011 | PAMI | Richardson-Lucy Deblurring for Scenes under a Projective Motion Path | |
2011 | ICCV | Handling outliers in non-blind image deconvolution | Code |
2011 | ICCV | From learning models of natural image patches to whole image restoration | Code |
2012 | TIP | Bm3d frames and variational image deblurring | |
2012 | TIP | Robust image deblurring with an inaccurate blur kernel Code | |
2013 | CVPR | A machine learning approach for non-blind image deconvolution | Code & Project page |
2013 | CVPR | Discriminative non-blind deblurring | Code |
2014 | TIP | A general framework for regularized, similarity-based image restoration Code & Project page | |
2014 | NIPS | Deep convolutional neural network for image deconvolution | Code & Project page |
2014 | CVPR | Shrinkage fields for effective image restoration | Code |
2014 | ECCV | Good Image Priors for Non-blind Deconvolution: Generic vs Specific | Project page |
2016 | CVIP | Fast Non-Blind Image De-blurring With Sparse Priors | |
2017 | TIP | Partial Deconvolution With Inaccurate Blur Kernel | |
2017 | ICCP | Fast non-blind deconvolution via regularized residual networks with long/short skip-connections | Code, Project Page |
2017 | CVPR | Noise-Blind Image Deblurring | |
2017 | CVPR | Learning Deep CNN Denoiser Prior for Image Restoration | Code |
2017 | CVPR | Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution | Code |
2017 | ICCV | Learning proximal operators: Using denoising networks for regularizing inverse imaging problems | |
2017 | ICCV | Learning to push the limits of efficient fft-based image deconvolution | Code |
2017 | NIPS | Deep Mean-Shift Priors for Image Restoration | Code |
2018 | ICIP | Modeling Realistic Degradations in Non-Blind Deconvolution | |
2018 | CVPR | Non-blind Deblurring: Handling Kernel Uncertainty with CNNs | Project page & Results-on-benchmark-datasets |
2018 | CVPR | Deep image prior | Code |
2018 | ECCV | Learning Data Terms for Non-blind Deblurring | |
2018 | NIPS | Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation | Code |
2019 | ICLR | Deep decoder: Concise image representations from untrained non-convolutional networks | Code |
2019 | CVPR | Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels | Code |
2019 | ICCVW | Image deconvolution with deep image and kernel priors | |
2019 | TPAMI | Denoising prior driven deep neural network for image restoration | |
2020 | CVPR | Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring | Project page & Results-on-benchmark-datasets |
2020 | CVPR | Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution | Project page & Results-on-benchmark-datasets |
2020 | ECCV | End-to-end interpretable learning of non-blind image deblurring | |
2020 | EUSIPCO | Bp-dip: A backprojection based deep image prior | Code |
2020 | NIPS | Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring | Code |
2020 | TNLS | Learning deep gradient descent optimization for image deconvolution | Code |
2020 | TCI | Neumann networks for linear inverse problems in imaging | Code |
2020 | Arxiv | The Maximum Entropy on the Mean Method for Image Deblurring | |
2021 | CVPR | Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring | |
2021 | CVPR | Learning a Non-Blind Deblurring Network for Night Blurry Images | Code&Data |
2021 | TNNLS | Nonblind Image Deblurring via Deep Learning in Complex Field | |
2022 | WACV | Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach With Kernel Parameterization | |
2022 | CVPRW | A Robust Non-Blind Deblurring Method Using Deep Denoiser Prior |
Year | Pub | Paper | Repo |
---|---|---|---|
2007 | TOG | Image Deblurring with Blurred/Noisy Image Pairs | |
2008 | CVPR | Robust dual motion deblurring | |
2009 | JCP | Blind motion deblurring using multiple images | |
2010 | CVPR | Robust flash deblurring | |
2010 | CVPR | Efficient filter flow for space-variant multiframe blind deconvolution | |
2012 | ECCV | Deconvolving PSFs for A Better Motion Deblurring using Multiple Images | |
2012 | TIP | Robust multichannel blind deconvolution via fast alternating minimization | |
2012 | CGF | Registration Based Non-uniform Motion Deblurring | |
2012 | TOG | Video deblurring for hand-held cameras using patch-based synthesis | Project page |
2013 | CVPR | Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior | Code & Project page |
2014 | CVPR | Multi-Shot Imaging: Joint Alignment, Deblurring and Resolution Enhancement | Project page |
2014 | CVPR | Gyro-Based Multi-Image Deconvolution for Removing Handshake Blur | Project Page |
2014 | ECCV | Modeling Blurred Video with Layers | Project page, Results & Dataset |
2015 | CVPR | Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation | |
2015 | TCI | Hand-held video deblurring via efficient fourier aggregation | Project page & Results |
2015 | TIP | Removing camera shake via weighted fourier burst accumulation | |
2015 | CVPR | Generalized Video Deblurring for Dynamic Scenes | Code & Project page |
2015 | CVPR | Intra-Frame Deblurring by Leveraging Inter-Frame Camera Motion | Project page |
2016 | ECCV | Stereo video deblurring | |
2017 | CVPR | Simultaneous stereo video deblurring and scene flow estimation | |
2017 | CVPR | Deep Video Deblurring for Hand-Held Cameras | Code |
2017 | CVPR | Light Field Blind Motion Deblurring | code |
2017 | ICCV | Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel | Project page |
2017 | ICCV | Online Video Deblurring via Dynamic Temporal Blending Network | Code |
2018 | ECCV | Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks | Project page |
2018 | ECCV | Joint Blind Motion Deblurring and Depth Estimation of Light Field | |
2018 | TPAMI | Dynamic Video Deblurring using a Locally Adaptive Linear Blur Model | |
2018 | ICCP | Reblur2deblur: Deblurring videos via self-supervised learning | |
2018 | Arxiv | LSD-Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks | |
2019 | TIP | Adversarial Spatio-Temporal Learning for Video Deblurring | Code |
2019 | CVPR | Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring | |
2019 | CVPR | DAVANet: Stereo Deblurring With View Aggregation | Code |
2019 | CVPR_W | A Deep Motion Deblurring Network based on Per-Pixel Adaptive Kernels with Residual Down-Up and Up-Down Modules | |
2019 | ICCV | Spatio-Temporal Filter Adaptive Network for Video Deblurring | Project page, Code |
2019 | ICCV | Face Video Deblurring using 3D Facial Priors | Code |
2019 | SPL | Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring | |
2019 | ICCV_W | Deep Video Deblurring: The Devil is in the Details | Code |
2020 | CVPR | Cascaded Deep Video Deblurring Using Temporal Sharpness Prior | Code |
2020 | CVPR | Blurry Video Frame Interpolation | Code |
2020 | ECCV | Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring | Code |
2020 | ECCV | Learning Event-Driven Video Deblurring and Interpolation | |
2020 | TIP | Blur Removal Via Blurred-Noisy Image Pair | |
2020 | TCSVT | Recursive Neural Network for Video Deblurring | |
2021 | AAAI | Motion-blurred Video Interpolation and Extrapolation | |
2021 | CVPR | Gated Spatio-Temporal Attention-Guided Video Deblurring | |
2021 | CVPR | ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring | |
2021 | TOG | Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes | Code |
2021 | CVIU | Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior | |
2021 | ICCV | Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring | |
2022 | AAAI | Deep Recurrent Neural Network with Multi-Scale Bi-Directional Propagation for Video Deblurring | |
2022 | ECCV | Improving Image Restoration by Revisiting Global Information Aggregation | Code |
2022 | ECCV | Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance | Code |
2022 | ECCV | Efficient Video Deblurring Guided by Motion Magnitude | Code |
2022 | ECCV | Spatio-Temporal Deformable Attention Network for Video Deblurring | Code |
2022 | ECCV | ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring | Code |
2022 | ECCV | DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting | Code |
2022 | ECCVW | Towards Real-World Video Deblurring by Exploring Blur Formation Process | |
2022 | CGF | Real-Time Video Deblurring via Lightweight Motion Compensation | Code |
2022 | IJCV | Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network | Code |
Year | Pub | Paper | Repo |
---|---|---|---|
2019 | CVPR_W | NTIRE 2019 Challenge on Video Deblurring: Methods and Results | |
2019 | CVPR_W | NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study | |
2019 | CVPR_W | EDVR: Video Restoration with Enhanced Deformable Convolutional Networks | Code-Pytorch |
2020 | CVPR_W | Ntire 2020 challenge on image and video deblurring | |
2020 | CVPR_W | Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency | |
2020 | CVPR_W | High-Resolution Dual-Stage Multi-Level Feature Aggregation for Single Image and Video Deblurring |
Year | Pub | Paper | Repo |
---|---|---|---|
2000 | Multiframe Restoration Methods for Image Synthesis and Recovery, Joseph J. Green, Univ. of Arizona, PhD thesis | Code | |
2013 | TOG | A No-Reference Metric for Evaluating The Quality of Motion Deblurring | Code & Project Page |
2018 | CVPR | Learning to extract a video sequence from a single motion-blurred image | |
2019 | CVPR | Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera | Code |
2019 | CVPR | Learning to Extract Flawless Slow Motion From Blurry Videos | Code |
2019 | CVPR | Learning to Synthesize Motion Blur | Code, Project page |
2019 | CVPR | World from blur | |
2019 | ICCV | FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos | Code |
2019 | ICCV | Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions | |
2020 | CVPR-W | Photosequencing of Motion Blur using Short and Long Exposures | Project Page |
2020 | ACM-MM | Every Moment Matters: Detail-Aware Networks to Bring a Blurry Image Alive | |
2020 | NIPS | Watch out! Motion is Blurring Blurring the Vision of Your Deep Neural Networks | Code |
2021 | Arxiv | Geometric Moment Invariants to Motion Blur | |
2021 | AAAI | Optical Flow Estimation from a Single Motion-blurred Image | |
2021 | CVPR | Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes | Code |
2021 | CVPR | Improved Handling of Motion Blur in Online Object Detection | |
2021 | CVPR | Blur, Noise, and Compression Robust Generative Adversarial Networks | |
2021 | ICCV | Motion Deblurring With Real Events | Code |
2021 | ICCV | Bringing Events Into Video Deblurring With Non-Consecutively Blurry Frames | Code |
2022 | ECCV | Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance | Code |
2022 | ECCV | Realistic Blur Synthesis for Learning Image Deblurring | Code & Dataset |
2022 | ECCV | Event-Guided Deblurring of Unknown Exposure Time Videos |
Year | Pub | Paper | Repo |
---|---|---|---|
2009 | ICCP | What are Good Apertures for Defocus Deblurring? | |
2009 | ICIP | Single image defocus map estimation using local contrast prior | |
2011 | PR | Defocus map estimation from a single image | |
2012 | ICASSP | Spatially-varying out-of-focus image deblurring with L1-2 optimization and a guided blur map | |
2013 | ICASSP | Removing out-of-focus blur from similar image pairs | |
2014 | CVPR | Discriminative Blur Detection Features | Project Page |
2015 | CVPR | Just Noticeable Defocus Blur Detection and Estimation | Project Page |
2016 | Spatially Variant Defocus Blur Map Estimation and Deblurring from a Single Image | Code | |
2017 | BMVC | Depth Estimation and Blur Removal from a Single Out-of-focus Image | |
2017 | CVPR | Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes | Code |
2017 | CVPR | A unified approach of multi-scale deep and hand-crafted features for defocus estimation | Code |
2017 | ICCV | Learning to Synthesize a 4D RGBD Light Field from a Single Image | Dataset and Project Page |
2018 | ECCV | Refocusgan: Scene refocusing using a single image | |
2018 | ECCV_W | Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? | Code & Dataset |
2018 | PG | Defocus and Motion Blur Detection with Deep Contextual Features | Code & Dataset |
2018 | TIP | Edge-based defocus blur estimation with adaptive scale selection | Code |
2019 | CVPR | Deep Defocus Map Estimation using Domain Adaptation | Code & Dataset |
2019 | CVPR | DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features | |
2020 | ECCV | Defocus Deblurring Using Dual-Pixel Data | Code & Dataset |
2020 | ECCV | Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model | |
2020 | ECCV | Defocus Blur Detection via Depth Distillation | Code |
2020 | TCI | AIFNet: All-in-focus Image Restoration Network using a Light Field-based Dataset | Code,Dataset |
2020 | Arxiv | CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry | |
2020 | Arxiv | Deep Multi-Scale Feature Learning for Defocus Blur Estimation | |
2021 | Arxiv | Defocus Blur Detection via Salient Region Detection Prior | |
2021 | Arxiv | Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded Aperture | |
2021 | CVPR | Iterative Filter Adaptive Network for Single Image Defocus Deblurring | Code & Dataset |
2021 | CVPR | Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators | Code |
2021 | CVPR | Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration | Code |
2021 | CVPRW | NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results | |
2021 | CVPRW | Attention! Stay Focus! | Code |
2021 | ICCV | Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions | Code |
2021 | ICCV | Learning To Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data | Code |
2022 | WACV | Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning | Code |
2022 | CVPR | Learning to Deblur Using Light Field Generated and Real Defocus Images | Code |
2022 | CVPR | AR-NeRF: Unsupervised Learning of Depth and Defocus Effects From Natural Images With Aperture Rendering Neural Radiance Fields | |
2022 | ECCV | United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning | Code |
Year | Pub | Paper | Repo |
---|---|---|---|
2009 | CVPR | Understanding and evaluating blind deconvolution algorithms | Dataset |
2012 | ECCV | Recording and playback of camera shake: benchmarking blind deconvolution with a real-world database | Dataset |
2013 | ICCP | Edge-based blur kernel estimation using patch priors | Dataset |
2016 | CVPR | A Comparative Study for Single Image Blind Deblurring | Dataset |
2017 | CVPR (GOPRO) | Deep multi-scale convolutional neural network for dynamic scene deblurring | Dataset |
2017 | CVPR | Deep Video Deblurring for Hand-Held Cameras | Dataset |
2017 | GCPR | Motion deblurring in the wild | |
2019 | CVPR (Stereo Blur Dataset) | Stereo Deblurring With View Aggregation | Dataset |
2019 | CVPR_W (REDS) | NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study | Dataset |
2019 | ICCV (HIDE) | Human-Aware Motion Deblurring | Dataset |
2020 | CVPR | Deblurring by Realistic Blurring | Dataset |
2020 | CVPR | Learning Event-Based Motion Deblurring | |
2020 | ECCV (BSD) | Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring | Dataset |
2020 | ECCV | Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms | Code & Dataset |
2021 | CVPR | Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes | Dataset |
2021 | Arxiv | MC-Blur: A Comprehensive Benchmark for Image Deblurring | Dataset |
2022 | ECCV | Realistic Blur Synthesis for Learning Image Deblurring | Code & Dataset |
2022 | IJCV | Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network | Dataset |
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