JDRL
Deblurring library
An implementation of a deep learning-based deblurring method that uses misaligned training pairs to improve image defocus correction.
The implementation of "Learning Single Image Defocus Deblurring with Misaligned Training Pairs".
20 stars
1 watching
1 forks
Language: Python
last commit: almost 2 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 lingyanruan/drbnet | An implementation of an image deblurring algorithm using light field technology and deep learning techniques. | 109 |
 wdzhao123/apl | Develops a deep learning-based method to detect and remove defocus blur from images | 16 |
 csjcai/dbcpenet | Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |
 abdullah-abuolaim/defocus-deblurring-dual-pixel | Developing a deep learning model to correct blurry images caused by camera shake or out-of-focus | 185 |
 seungjunnah/deepdeblur_release | A deep learning-based image deblurring system designed to remove blur from dynamic scenes. | 681 |
 limacv/deblur-nerf | An implementation of a method to restore sharp images from blurry input images using neural networks. | 261 |
 codeslake/ifan | Implementation of an algorithm for single image deblurring in images with defocus blur | 227 |
 hyeongseokson1/kpac | An implementation of a deep learning model for deblurring images affected by defocus. | 58 |
 jennyzu/bp-dip-deblurring | A Python implementation of an image deblurring technique based on backprojection from a deep learning prior | 6 |
| codeslake/pvdnet | An open-source implementation of a deep learning model for video deblurring and motion estimation. | 114 |
 zhihongz/infwide | A deep learning-based image deblurring method designed to handle low-light conditions | 13 |
 minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 162 |
 hdcvlab/deblurring-by-realistic-blurring | A Python implementation of a deblurring model using realistic blurring techniques. | 63 |
 deepmed-lab-ecnu/deeprft-aaai2023 | A deep learning-based image deblurring system that explores the impact of frequency selection on restoration quality | 18 |
 ustclby/unsupervised-domain-specific-deblurring | Unsupervised method to deblur images of faces or text from other domains | 109 |