defocus-deblurring-dual-pixel
Image deblurring model
Developing a deep learning model to correct blurry images caused by camera shake or out-of-focus
Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.
185 stars
7 watching
22 forks
Language: Python
last commit: about 3 years ago autofocuscomputational-photographycomputer-visiondatasetdatasetsdeep-learningdeep-neural-networksdeeplearningdefocus-blurdefocus-deblurringdepth-of-fielddual-pixel
Related projects:
| Repository | Description | Stars |
|---|---|---|
| abdullah-abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat | Improves single-image defocus deblurring by learning from dual-pixel images in a multi-task framework | 46 |
| abdullah-abuolaim/recurrent-defocus-deblurring-synth-dual-pixel | This project provides tools and models to generate realistic data for camera systems with defocus blur, aiming to improve image deblurring techniques. | 49 |
 hyeongseokson1/kpac | An implementation of a deep learning model for deblurring images affected by defocus. | 58 |
 wdzhao123/apl | Develops a deep learning-based method to detect and remove defocus blur from images | 17 |
 minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
 radimspetlik/si-ddpm-fmo | A Python-based framework for training and evaluating deep learning models for single-image deblurring, shape, and trajectory recovery of fast-moving objects. | 5 |
 fangzhenxuan/ufpdeblur | An image deblurring algorithm that leverages flow-based motion prior and kernel estimation for blind image restoration. | 29 |
 rozumden/defmo | A deep learning framework for deblurring and recovering the shape of fast-moving objects from blurred images | 171 |
 codeslake/ifan | Implementation of an algorithm for single image deblurring in images with defocus blur | 228 |
 vinthony/depth-distillation | Develops a method to automatically detect and estimate defocus blur in images | 66 |
 csjcai/dbcpenet | Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |
 seungjunnah/deepdeblur_release | A deep learning-based image deblurring system designed to remove blur from dynamic scenes. | 691 |
 jihyongoh/demfi | Develops algorithms to restore sharp images from blurry ones and interpolate missing frames in video sequences with improved accuracy | 81 |
 deepmed-lab-ecnu/deeprft-aaai2023 | An image deblurring technique based on frequency selection using machine learning models | 18 |
 lingyanruan/lakdnet | An image deblurring model that revisits the use of convolutional neural networks to improve efficiency and performance compared to transformers. | 102 |