DeblurGAN
Deblurring system
An image deblurring system using Generative Adversarial Networks (GANs) to restore sharpness from blurry images.
Image Deblurring using Generative Adversarial Networks
3k stars
61 watching
523 forks
Language: Python
last commit: almost 5 years ago blurry-imagescomputer-visionconvolutional-networksconvolutional-neural-networksdeblurringdeep-learningganimage-manipulationimage-processingimage-to-image-translationneural-networkpaperpix2pixpytorch
Related projects:
Repository | Description | Stars |
---|---|---|
cszn/kair | Image restoration toolbox with training and testing codes for various deep learning-based methods | 2,994 |
postech-cvlab/pytorch-studiogan | A comprehensive PyTorch library providing implementations of various Generative Adversarial Networks (GANs) for image generation and evaluation. | 3,439 |
nvlabs/stylegan3 | An implementation of a generative adversarial network architecture designed to improve image synthesis and video generation capabilities | 6,478 |
vita-group/deblurganv2 | An end-to-end generative adversarial network (GAN) for single image motion deblurring | 1,046 |
nvlabs/stylegan2-ada-pytorch | An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance. | 4,144 |
phillipi/pix2pix | An implementation of an image-to-image translation algorithm using deep learning techniques | 10,208 |
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 |
junyanz/igan | Interactive image generation using Generative Adversarial Networks to satisfy user edits in real-time | 3,979 |
idealo/image-super-resolution | A project providing tools and frameworks for improving the quality of low-resolution images through deep learning-based techniques. | 4,674 |
pp00704831/banet-tip-2022 | A PyTorch implementation of an attention network for dynamic scene deblurring | 37 |
huicongzhang/stdan | Deblurring algorithm for videos using a neural network | 52 |
chosj95/mimo-unet | Develops a deep learning model for single image deblurring with improved performance and computational efficiency | 382 |
minyuanye/siun | This project develops a deep learning-based image deblurring algorithm using iterative upsampling network architecture | 164 |
karoly-hars/gan_image_colorizing | This project explores image colorization using generative adversarial networks on the CIFAR10 dataset. | 11 |