DRBNet
Deblurring software
An implementation of an image deblurring algorithm using light field technology and deep learning techniques.
[CVPR Oral 2022] PyTorch Implementation for "Learning to Deblur using Light Field Generated and Real Defocused Images"
110 stars
4 watching
7 forks
Language: Python
last commit: about 2 years ago deep-learningdefocus-blurdefocus-deblurringlight-field
Related projects:
Repository | Description | Stars |
---|---|---|
lingyanruan/lakdnet | An image deblurring model that revisits the use of convolutional neural networks to improve efficiency and performance compared to transformers. | 102 |
codeslake/ifan | Implementation of an algorithm for single image deblurring in images with defocus blur | 228 |
seungjunnah/deepdeblur_release | A deep learning-based image deblurring system designed to remove blur from dynamic scenes. | 691 |
jiangsutx/srn-deblur | This repository provides a Python implementation of a deep learning-based image deblurring algorithm. | 724 |
hongguangzhang/dmphn-cvpr19-master | An image deblurring technique utilizing a hierarchical network architecture | 193 |
liyucs/jdrl | An implementation of a deep learning-based deblurring method that uses misaligned training pairs to improve image defocus correction. | 20 |
pratulsrinivasan/light_field_blind_motion_deblurring | A computer vision project that develops an algorithm to remove motion blur from images captured by 3D cameras. | 26 |
huicongzhang/stdan | Deblurring algorithm for videos using a neural network | 52 |
invokerer/deeprft | Deblurring technique using deep learning and Fourier transformation to remove image blur | 248 |
pp00704831/banet-tip-2022 | A PyTorch implementation of an attention network for dynamic scene deblurring | 37 |
xuboming8/dstnet | This repository implements a deep learning-based video deblurring method using PyTorch. | 68 |
dogyoonlee/dp-nerf | Deblurring technique using neural radiance fields with physical scene priors | 83 |
limacv/deblur-nerf | An implementation of a method to restore sharp images from blurry input images using neural networks. | 264 |
minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
csjcai/dbcpenet | Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |