Generate high quality pictures. GAN. Generative Adversarial Networks

Last update: Dec 14, 2021

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Overview

ESRGAN

generate high quality pictures. GAN. Generative Adversarial Networks """ Super-resolution of CelebA using Generative Adversarial Networks. The dataset can be downloaded from: https://www.dropbox.com/sh/8oqt9vytwxb3s4r/AADIKlz8PR9zr6Y20qbkunrba/Img/img_align_celeba.zip?dl=0 (if not available there see if options are listed at http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html) Instrustion on running the script:

Download the dataset from the provided link
Save the folder 'img_align_celeba' to '../../data/'
Run the sript using command 'python3 esrgan.py' """

Requirements

torch>=0.4.0 
torchvision 
matplotlib 
numpy
scipy
pillow
urllib3
scikit-image

Owner

Lieon

Deep learning, Anomaly detection,Time series, Generative Adversarial Networks, Adversarial attack.

GitHub Repository

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