Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
https://github.com/subeeshvasu/Awesome-Deblurring
Last synced: 19 days ago
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AI-Photo-Enhancer-Apps
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Benchmark Datasets on Motion Deblurring
- Edge-based blur kernel estimation using patch priors
- Deep multi-scale convolutional neural network for dynamic scene deblurring
- Human-Aware Motion Deblurring
- Deblurring by Realistic Blurring - by-Realistic-Blurring)|
- Learning Event-Based Motion Deblurring
- Real-world deep local motion deblurring
- Stereo Deblurring With View Aggregation
- Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network - tech/ESTRNN)|
- Blur Interpolation Transformer for Real-World Motion from Blur - tech/BiT)|
- Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes - tech/RSCD)||
- Realistic Blur Synthesis for Learning Image Deblurring
- Understanding and evaluating blind deconvolution algorithms
- Recording and playback of camera shake: benchmarking blind deconvolution with a real-world database
- A Comparative Study for Single Image Blind Deblurring
- Motion deblurring in the wild
- Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring - tech/ESTRNN)|
- Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
- MC-Blur: A Comprehensive Benchmark for Image Deblurring - Blur-Dataset)||
- Understanding and evaluating blind deconvolution algorithms
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Challenges on Motion Deblurring
- NTIRE 2019 Challenge on Video Deblurring: Methods and Results
- NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study
- EDVR: Video Restoration with Enhanced Deformable Convolutional Networks - Pytorch](https://github.com/xinntao/EDVR)|[Project page](https://xinntao.github.io/projects/EDVR)|
- Ntire 2020 challenge on image and video deblurring
- Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
- High-Resolution Dual-Stage Multi-Level Feature Aggregation for Single Image and Video Deblurring
- NTIRE 2019 Challenge on Video Deblurring: Methods and Results
- NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study
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Defocus Deblurring and Potential Datasets
- LaKDNet: Revisiting Image Deblurring with an Efficient ConvNet
- What are Good Apertures for Defocus Deblurring?
- Single image defocus map estimation using local contrast prior
- Defocus map estimation from a single image
- Spatially-varying out-of-focus image deblurring with L1-2 optimization and a guided blur map
- Removing out-of-focus blur from similar image pairs
- Discriminative Blur Detection Features
- Just Noticeable Defocus Blur Detection and Estimation
- Spatially Variant Defocus Blur Map Estimation and Deblurring from a Single Image - deblurring)|
- Depth Estimation and Blur Removal from a Single Out-of-focus Image
- Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
- A unified approach of multi-scale deep and hand-crafted features for defocus estimation
- Learning to Synthesize a 4D RGBD Light Field from a Single Image
- Refocusgan: Scene refocusing using a single image
- Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
- Defocus and Motion Blur Detection with Deep Contextual Features
- Edge-based defocus blur estimation with adaptive scale selection - Edge-Based-Defocus-Blur-Estimation-With-Adaptive-Scale-Selection)|
- Deep Defocus Map Estimation using Domain Adaptation
- DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features
- Defocus Deblurring Using Dual-Pixel Data - Abuolaim/defocus-deblurring-dual-pixel)|
- Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model
- Defocus Blur Detection via Depth Distillation - distillation)|
- AIFNet: All-in-focus Image Restoration Network using a Light Field-based Dataset
- CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
- Deep Multi-Scale Feature Learning for Defocus Blur Estimation
- Estimating Generalized Gaussian Blur Kernels for Out-of-Focus Image Deblurring
- Defocus Blur Detection via Salient Region Detection Prior
- Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded Aperture
- Iterative Filter Adaptive Network for Single Image Defocus Deblurring
- Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators
- Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration - Pixel-Exploration-Simultaneous-Depth-Estimation-and-Image-Restoration)|
- NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results
- Attention! Stay Focus!
- Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions
- Learning To Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data - Abuolaim/recurrent-defocus-deblurring-synth-dual-pixel)|
- Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning - Abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat)|
- Learning to Deblur Using Light Field Generated and Real Defocus Images
- AR-NeRF: Unsupervised Learning of Depth and Defocus Effects From Natural Images With Aperture Rendering Neural Radiance Fields
- United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning
- K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring
- Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
- Neumann Network With Recursive Kernels for Single Image Defocus Deblurring
- DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors
- End-to-end Alternating Optimization for Real-World Blind Super Resolution
- Learning Single Image Defocus Deblurring with Misaligned Training Pairs
- Single Image Defocus Deblurring via Implicit Neural Inverse Kernels
- Camera-Independent Single Image Depth Estimation From Defocus Blur
- A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning - CataBlur)|
- LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
- Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
- Learning to Synthesize a 4D RGBD Light Field from a Single Image
- Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
- Deep Defocus Map Estimation using Domain Adaptation
- Spatially Variant Defocus Blur Map Estimation and Deblurring from a Single Image - deblurring)|
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Depth-Aware Motion Deblurring
- Depth-aware motion deblurring
- Joint Depth Estimation and Camera Shake Removal from Single Blurry Image
- Single Image Deblurring and Camera Motion Estimation With Depth Map
- Depth-Aware Motion Deblurring Using Loopy Belief Propagation
- Dast-Net: Depth-Aware Spatio-Temporal Network for Video Deblurring
- Depth-Aware Image Compositing Model for Parallax Camera Motion Blur
- Fast and Accurate: Video Enhancement Using Sparse Depth
- DAVIDE: Depth-Aware Video Deblurring
- Deep Lidar-guided Image Deblurring
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(Multi-image/Video)-Motion-Deblurring
- Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation
- Deblur-NeRF: Neural Radiance Fields From Blurry Images - NeRF)|
- Improving Image Restoration by Revisiting Global Information Aggregation - research/TLC)|
- Image Deblurring with Blurred/Noisy Image Pairs
- Robust dual motion deblurring
- Blind motion deblurring using multiple images
- Robust flash deblurring
- Efficient filter flow for space-variant multiframe blind deconvolution
- Deconvolving PSFs for A Better Motion Deblurring using Multiple Images
- Robust multichannel blind deconvolution via fast alternating minimization
- Registration Based Non-uniform Motion Deblurring
- Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior - blind-deblurring)|
- Multi-Shot Imaging: Joint Alignment, Deblurring and Resolution Enhancement - shot-imaging)|
- Gyro-Based Multi-Image Deconvolution for Removing Handshake Blur
- Modeling Blurred Video with Layers - blur-in-layers)|
- Hand-held video deblurring via efficient fourier aggregation
- Removing camera shake via weighted fourier burst accumulation
- Generalized Video Deblurring for Dynamic Scenes
- Intra-Frame Deblurring by Leveraging Inter-Frame Camera Motion
- Stereo video deblurring
- Simultaneous stereo video deblurring and scene flow estimation
- Deep Video Deblurring for Hand-Held Cameras
- Light Field Blind Motion Deblurring
- Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel
- Online Video Deblurring via Dynamic Temporal Blending Network
- Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks
- Joint Blind Motion Deblurring and Depth Estimation of Light Field
- Dynamic Video Deblurring using a Locally Adaptive Linear Blur Model
- Reblur2deblur: Deblurring videos via self-supervised learning
- LSD-Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks
- Adversarial Spatio-Temporal Learning for Video Deblurring - Spatio-Temporal-Learning-for-Video-Deblurring)|
- Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring
- A Deep Motion Deblurring Network based on Per-Pixel Adaptive Kernels with Residual Down-Up and Up-Down Modules
- Spatio-Temporal Filter Adaptive Network for Video Deblurring
- Face Video Deblurring using 3D Facial Priors
- Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring
- Deep Video Deblurring: The Devil is in the Details - devil)|
- Cascaded Deep Video Deblurring Using Temporal Sharpness Prior - TSP)|[Project Page](https://baihaoran.xyz/projects/cdvd-tsp/index.html)|
- Blurry Video Frame Interpolation
- Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring - tech/ESTRNN)|
- Learning Event-Driven Video Deblurring and Interpolation
- Blur Removal Via Blurred-Noisy Image Pair
- Recursive Neural Network for Video Deblurring
- Motion-blurred Video Interpolation and Extrapolation
- Gated Spatio-Temporal Attention-Guided Video Deblurring
- ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
- Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior
- Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring
- Deep Recurrent Neural Network with Multi-Scale Bi-Directional Propagation for Video Deblurring
- Efficient Video Deblurring Guided by Motion Magnitude - RNN)|
- Spatio-Temporal Deformable Attention Network for Video Deblurring
- 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
- Real-Time Video Deblurring via Lightweight Motion Compensation
- Generalized Video Deblurring for Dynamic Scenes
- DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors - NeRF)|
- BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields - CVGL/BAD-NeRF)|
- Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time
- Registration Based Non-uniform Motion Deblurring
- Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring
- Exploring Temporal Frequency Spectrum in Deep Video Deblurring
- E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images
- Deblur-NSFF: Neural Scene Flow Fields for Blurry Dynamic Scenes
- Gyro-Based Multi-Image Deconvolution for Removing Handshake Blur
- Hand-held video deblurring via efficient fourier aggregation
- Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes
- Sharp-NeRF: Grid-Based Fast Deblurring Neural Radiance Fields Using Sharpness Prior
- Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
- Mitigating Motion Blur in Neural Radiance Fields with Events and Frames - rpg/EvDeblurNeRF)|
- DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video
- Rethinking video deblurring with waveletaware dynamic transformer and diffusion model - Rao/VD-Diff)|
- Learning Truncated Causal History Model for Video Restoration - Research/Turtle)|
- Online Video Deblurring via Dynamic Temporal Blending Network
- Reblur2deblur: Deblurring videos via self-supervised learning
- Motion-blurred Video Interpolation and Extrapolation
- Real-Time Video Deblurring via Lightweight Motion Compensation
- Modeling Blurred Video with Layers - blur-in-layers)|
- Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel
- Video deblurring for hand-held cameras using patch-based synthesis
- Real-Time Video Deblurring via Lightweight Motion Compensation
- Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior - blind-deblurring)|
- Multi-Shot Imaging: Joint Alignment, Deblurring and Resolution Enhancement - shot-imaging)|
- Intra-Frame Deblurring by Leveraging Inter-Frame Camera Motion
- Deep Video Deblurring for Hand-Held Cameras
- Light Field Blind Motion Deblurring
- Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks
- Joint Blind Motion Deblurring and Depth Estimation of Light Field
- Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring
- DAVANet: Stereo Deblurring With View Aggregation
- A Deep Motion Deblurring Network based on Per-Pixel Adaptive Kernels with Residual Down-Up and Up-Down Modules
- Blind motion deblurring using multiple images
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Non-Blind-Deblurring
- Image deblurring in the presence of impulsive noise
- Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
- Handling outliers in non-blind image deconvolution
- From learning models of natural image patches to whole image restoration
- Bm3d frames and variational image deblurring
- Robust image deblurring with an inaccurate blur kernel
- A machine learning approach for non-blind image deconvolution
- Discriminative non-blind deblurring - darmstadt.de/vi_research/code/index.en.jsp#discriminative_deblurring)|
- A general framework for regularized, similarity-based image restoration
- Deep convolutional neural network for image deconvolution
- Shrinkage fields for effective image restoration - fields)|
- Good Image Priors for Non-blind Deconvolution: Generic vs Specific
- Fast Non-Blind Image De-blurring With Sparse Priors
- Partial Deconvolution With Inaccurate Blur Kernel
- Fast non-blind deconvolution via regularized residual networks with long/short skip-connections
- Noise-Blind Image Deblurring
- Learning Deep CNN Denoiser Prior for Image Restoration
Categories
Non-Blind-Deblurring
202
Single-Image-Blind-Motion-Deblurring (DL)
137
Single-Image-Blind-Motion-Deblurring (non-DL)
136
(Multi-image/Video)-Motion-Deblurring
92
Defocus Deblurring and Potential Datasets
54
Other Closely Related Works
42
Benchmark Datasets on Motion Deblurring
19
Depth-Aware Motion Deblurring
9
Challenges on Motion Deblurring
8
AI-Photo-Enhancer-Apps
1
Sub Categories