ESRGAN
Image restorer
Software implementation of enhanced image restoration algorithm using Generative Adversarial Networks
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
6k stars
119 watching
1k forks
Language: Python
last commit: almost 4 years agoLinked from 2 awesome lists
esrgan
amrzv/awesome-colab-notebooks
zslucky/awesome-ai-booksRelated projects:
| Repository | Description | Stars |
|---|---|---|
| xinntao/real-esrgan | Develops algorithms for practical image and video restoration using synthetic data | 28,800 |
 tensorlayer/srgan | Generative Adversarial Network based Single Image Super-Resolution | 3,342 |
 cszn/kair | Image restoration toolbox with training and testing codes for various deep learning-based methods | 2,994 |
| cszn/bsrgan | A deep learning-based approach to super-resolution of degraded images. | 1,222 |
 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 |
 leverxgroup/esrgan | An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. | 151 |
 tsukumijima/real-esrgan-gui | A GUI wrapper for Real-ESRGAN and Real-CUGAN image super-resolution algorithms | 500 |
 tencentarc/gfpgan | An algorithm for restoring damaged or obscured faces in images | 36,009 |
 brade31919/srgan-tensorflow | Tensorflow implementation of a generative adversarial network for single image super-resolution | 848 |
 sanghyun-son/edsr-pytorch | Provides a PyTorch implementation of single image super-resolution | 2,457 |
 subeeshvasu/2018_subeesh_epsr_eccvw | A deep learning-based super-resolution framework with improved perceptual accuracy and trade-off analysis tools | 80 |
 clovaai/stargan-v2 | A Python implementation of an image-to-image translation model for generating diverse images across multiple domains. | 3,513 |
 yangxy/gpen | An open-source software project that develops and provides tools for restoring degraded faces in images using Generative Pre-trained Networks. | 2,456 |
 trevor-m/tensorflow-srgan | An implementation of a generative adversarial network (GAN) used to improve image quality through super-resolution | 39 |
| cszn/srmd | Develops a single convolutional network to handle various image degradations with improved scalability and efficiency | 427 |