LaKDNet
Image deblurring model
An image deblurring model that revisits the use of convolutional neural networks to improve efficiency and performance compared to transformers.
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
102 stars
9 watching
3 forks
Language: Python
last commit: about 2 years agocnndefocus-deblurringhigh-resolutionimage-deblurringimage-restorationmotion-deblurringreceptive-fieldtransformer
Related projects:
| Repository | Description | Stars |
|---|---|---|
| lingyanruan/drbnet | An implementation of an image deblurring algorithm using light field technology and deep learning techniques. | 110 |
 hyeongseokson1/kpac | An implementation of a deep learning model for deblurring images affected by defocus. | 58 |
 jiangsutx/srn-deblur | This repository provides a Python implementation of a deep learning-based image deblurring algorithm. | 724 |
 dasongli1/learning_degradation | An implementation of learning-based image deblurring using degradation representations | 58 |
 minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
 huicongzhang/stdan | Deblurring algorithm for videos using a neural network | 52 |
 codeslake/pvdnet | An open-source implementation of a deep learning model for video deblurring and motion estimation. | 114 |
 limacv/deblur-nerf | An implementation of a method to restore sharp images from blurry input images using neural networks. | 264 |
 cszn/ircnn | This project trains deep CNN denoisers to improve image restoration tasks such as deblurring and demosaicking through model-based optimization methods. | 602 |
 seungjunnah/deepdeblur_release | A deep learning-based image deblurring system designed to remove blur from dynamic scenes. | 691 |
 csjcai/dbcpenet | Deblurring technique developed using machine learning and signal processing algorithms to restore images from blurry conditions. | 20 |
 cszcwu/nrknet | A software framework for single image deblurring using recursive kernels | 14 |
 vita-group/deblurganv2 | An end-to-end generative adversarial network (GAN) for single image motion deblurring | 1,049 |
| codeslake/ifan | Implementation of an algorithm for single image deblurring in images with defocus blur | 228 |
 zzh-tech/estrnn | An efficient RNN-based model for real-world video deblurring with a large-scale dataset and pre-trained models. | 322 |