blur-kernel-space-exploring
Deblurring
An image deblurring method using encoded blur kernel space
Exploring Image Deblurring via Blur Kernel Space (CVPR'21)
148 stars
7 watching
34 forks
Language: Python
last commit: 12 days ago computer-visiondeblurringdeep-learningpythonpytorch
Related projects:
Repository | Description | Stars |
---|---|---|
subeeshvasu/2018_subeesh_nbd_cvpr | Provides results and tools for image deblurring using CNNs to handle kernel uncertainty | 5 |
codeslake/ifan | Implementation of an algorithm for single image deblurring in images with defocus blur | 227 |
hdcvlab/mc-blur-dataset | A comprehensive benchmark dataset for image deblurring | 25 |
joanshen0508/ha_deblur | A dataset and algorithm for deblurring images of moving scenes, specifically designed to handle dynamic blurs caused by camera movement and object motion. | 72 |
limacv/deblur-nerf | An implementation of a method to restore sharp images from blurry input images using neural networks. | 261 |
wu-cvgl/bad-nerf | A system that jointly learns 3D representation and camera motion from blurry images to generate sharp images | 189 |
invokerer/deeprft | Develops deep learning-based methods for removing blur and defocus from images | 244 |
deepmed-lab-ecnu/deeprft-aaai2023 | A deep learning-based image deblurring system that explores the impact of frequency selection on restoration quality | 18 |
wdzhao123/apl | Develops a deep learning-based method to detect and remove defocus blur from images | 16 |
hdcvlab/deblurring-by-realistic-blurring | A Python implementation of a deblurring model using realistic blurring techniques. | 63 |
zzh-tech/bit | Develops a deep learning-based method for deblurring images and videos from motion blur | 222 |
codeslake/pvdnet | An open-source implementation of a deep learning model for video deblurring and motion estimation. | 114 |
xl-tang3/uaudeblur | An implementation of an image deblurring algorithm using PyTorch and deep residual prior | 57 |
rimchang/rsblur | This repository provides an implementation of an image deblurring method using realistic blur synthesis. | 82 |
xlearning-scu/2022-cvpr-airnet | Restores degraded images by combining multiple tasks of dehazing, denoising and deraining in a single framework | 176 |