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Awesome-Deblurring-Resources
A curated list of research papers and datasets related to image and video deblurring.
https://github.com/kawchar85/Awesome-Deblurring-Resources
Last synced: 1 day ago
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2024 Papers
- Motion Blur Decomposition with Cross-shutter Guidance
- Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment
- Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution - r/fastdiffusionem) |
- A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning - CataBlur](https://github.com/PieceZhang/MPT-CataBlur) |
- AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
- Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
- Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring
- ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation - Blau](https://github.com/plusgood-steven/ID-Blau) |
- Blind Image Deblurring using FFT-ReLU with Deep Learning Pipeline Integration - Image-Deblurring-using-FFT-ReLU-with-Deep-Learning-Pipeline-Integration) |
- LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
- Estimation of motion blur kernel parameters using regression convolutional neural networks
- Unsupervised Blind Image Deblurring Based on Self-Enhancement - |
- Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization - |
- Frequency-aware Event-based Video Deblurring for Real-World Motion Blur - |
- Gyroscope-Assisted Motion Deblurring Network - |
- Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
- Mitigating Motion Blur in Neural Radiance Fields with Events and Frames - rpg/EvDeblurNeRF) |
- EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling - |
- Latency Correction for Event-guided Deblurring and Frame Interpolation - |
- Gyro-based Neural Single Image Deblurring - |
- BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting - Gaussians](https://github.com/WU-CVGL/BAD-Gaussians) |
- BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream - CVGL/BeNeRF) |
- Blind image deblurring with noise-robust kernel estimation
- Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion - deblur](https://github.com/SpectacularAI/3dgs-deblur) |
- Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
- UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
- Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring
- Domain-adaptive Video Deblurring via Test-time Blurring - Ting-He/DADeblur) |
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2023 Papers
- Structured Kernel Estimation for Photon-Limited Deconvolution - kernel-cvpr23](https://github.com/sanghviyashiitb/structured-kernel-cvpr23) |
- IRNeXt: Rethinking Convolutional Network Design for Image Restoration - yn/IRNeXt) |
- GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
- Blind Image Deblurring with Unknown Kernel Size and Substantial Noise - umn/Blind-Image-Deblurring) |
- INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions
- Real-World Deep Local Motion Deblurring
- HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering
- Single Image Deblurring with Row-dependent Blur Magnitude - T](https://github.com/jixiang2016/RSS-T) |
- Non-Coaxial Event-Guided Motion Deblurring with Spatial Alignment - |
- Generalizing Event-Based Motion Deblurring in Real-World Scenarios - 0/GEM) |
- Exploring Temporal Frequency Spectrum in Deep Video Deblurring - |
- Multi-scale Residual Low-Pass Filter Network for Image Deblurring - |
- Dual-Domain Attention for Image Deblurring - yn/DDANet) |
- Learning Single Image Defocus Deblurring with Misaligned Training Pairs
- Intriguing Findings of Frequency Selection for Image Deblurring
- Multi-Scale Frequency Separation Network for Image Deblurring - Net](https://github.com/LiQiang0307/MSFS-Net) |
- Blur Interpolation Transformer for Real-World Motion from Blur - tech/BiT) |
- Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior - tang01/UAUDeblur) |
- K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring - |
- Neumann Network with Recursive Kernels for Single Image Defocus Deblurring
- Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring
- Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur - Lab/HybridNeuralRendering) |
- Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
- Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization - |
- Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring
- Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild - |
- Multiscale Structure Guided Diffusion for Image Deblurring - |
- Single Image Defocus Deblurring via Implicit Neural Inverse Kernels
- Hierarchical Integration Diffusion Model for Realistic Image Deblurring - Diff](https://github.com/zhengchen1999/HI-Diff) |
- Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams - |
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2022 Papers
- HINet: Half Instance Normalization Network for Image Restoration - model/HINet) |
- BANet: A Blur-Aware Attention Network for Dynamic Scene Deblurring - TIP-2022) |
- Deblurring via Stochastic Refinement - |
- Pixel Screening Based Intermediate Correction for Blind Deblurring - |
- Multi-Scale Memory-Based Video Deblurring
- Learning Degradation Representations for Image Deblurring
- Stripformer: Strip Transformer for Fast Image Deblurring - ECCV-2022](https://github.com/pp00704831/Stripformer-ECCV-2022-) |
- Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance - from-Blur](https://github.com/zzh-tech/Animation-from-Blur) |
- United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning
- Realistic Blur Synthesis for Learning Image Deblurring
- XYDeblur: Divide and Conquer for Single Image Deblurring - |
- MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
- Learning to Deblur using Light Field Generated and Real Defocus Images
- Unifying Motion Deblurring and Frame Interpolation with Events - 0/EVDI) |
- Event-based Fusion for Motion Deblurring with Cross-modal Attention
- Event-Guided Deblurring of Unknown Exposure Time Videos
- Spatio-Temporal Deformable Attention Network for Video Deblurring
- Efficient Video Deblurring Guided by Motion Magnitude - RNN](https://github.com/sollynoay/MMP-RNN) |
- ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring
- DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting
- Towards Real-World Video Deblurring by Exploring Blur Formation Process
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2020 Papers
- Deep Convolutional-Neural-Network-Based Channel Attention for Single Image Dynamic Scene Blind Deblurring - |
- Cascaded Deep Video Deblurring Using Temporal Sharpness Prior - TSP](https://github.com/csbhr/CDVD-TSP) |
- Learning Event-Based Motion Deblurring - |
- Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring - NBD](https://github.com/ysnan/VEM-NBD) |
- Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training - |
- Deblurring by Realistic Blurring - by-Realistic-Blurring](https://github.com/HDCVLab/Deblurring-by-Realistic-Blurring) |
- Raw Image Deblurring
- Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring - klsb.mpg.de/jdong/dwdn) |
- A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring - PMP](https://github.com/FWen/deblur-pmp) |
- End-to-end Interpretable Learning of Non-blind Image Deblurring
- Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks - ConvNet](https://github.com/skokec/DAU-ConvNet) |
- Defocus Deblurring Using Dual-Pixel Data - deblurring-dual-pixel](https://github.com/Abdullah-Abuolaim/defocus-deblurring-dual-pixel) |
- Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
- OID: Outlier Identifying and Discarding in Blind Image Deblurring - OCUlrNGHnd/view) |
- Enhanced Sparse Model for Blind Deblurring
- Learning Deep Gradient Descent Optimization for Image Deconvolution - Optimizer-RGDN](https://github.com/donggong1/learn-optimizer-rgdn) |
- Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
- Learning Event-Driven Video Deblurring and Interpolation
- Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring - |
- Deblurring Using Analysis-Synthesis Networks Pair - |
- Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring - tech/ESTRNN) |
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2021 Papers
- Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
- Explore Image Deblurring via Encoded Blur Kernel Space - Kernel-Space-Exploring](https://github.com/VinAIResearch/blur-kernel-space-exploring) |
- Rethinking Coarse-to-Fine Approach in Single Image Deblurring - UNet](https://github.com/chosj95/MIMO-UNet) |
- Multi-Stage Progressive Image Restoration
- DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
- ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring - |
- Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes - tech/RSCD) |
- Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times - gimbal) |
- Bringing Events into Video Deblurring with Non consecutively Blurry Frames
- Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions
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2019 Papers
- Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring - cvpr19-master) |
- Dynamic Scene Deblurring with Parameter Selective Sharing and Nested Skip Connections
- DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better - Group/DeblurGANv2) |
- Blind Image Deconvolution using Pretrained Generative Priors - Image-Deconvolution-using-Deep-Generative-Priors) |
- Efficient Blind Deblurring under High Noise Levels - Noise-Deblurring](https://github.com/kidanger/high-noise-deblurring) |
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