NOTICE

This is the code I made a while ago. There will definitely be better code in other repositories. If you want to use conditional DCGAN now, I recommend looking for other good repositories. o(￣▽￣)o

Conditional DCGAN implementation using pytorch with celebA dataset

Reference

• Paper:
  • Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks arxiv
  • Conditional Generative Adversarial Nets arxiv
• Pytorch DCGAN Example: github
• CelebA Dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
  • We will use the img_align_celeba dataset.

Usage

• python GAN.py --dataset_dir='dataset dir' --result_dir='result dir'
  • example: python GAN.py --dataset_dir=./celeba --result_dir=./celeba_result
• dataset example
  • ./celeba/celeba/000000.jpg
  • ./celeba/celeba/000001.jpg
  • ...

Result