News

  • 28 June 2019: We re-implement these GANs by Pytorch 1.1! The old version is here: v0 or in the "v0" directory.
  • Tensorflow 2 Version


GANs - Pytorch

Pytorch implementations of DCGAN, LSGAN, WGAN-GP(LP) and DRAGAN.

Exemplar results

Fashion-MNIST

DCGAN LSGAN WGAN-GP DRAGAN

CelebA

DCGAN LSGAN
WGAN-GP DRAGAN
WGAN-LP DRAGAN-LP

Anime

WGAN-GP DRAGAN

Usage

  • Prerequisites

    • PyTorch 1.1
    • tensorboardX
    • scikit-image, oyaml, tqdm
    • Python 3.6
  • Datasets

  • Examples of training

    • Fashion-MNIST DCGAN

      CUDA_VISIBLE_DEVICES=0 python train.py --dataset=fashion_mnist --epoch=25 --adversarial_loss_mode=gan
    • CelebA DRAGAN

      CUDA_VISIBLE_DEVICES=0 python train.py --dataset=celeba --epoch=25 --adversarial_loss_mode=gan --gradient_penalty_mode=1-gp --gradient_penalty_sample_mode=dragan
    • Anime WGAN-GP

      CUDA_VISIBLE_DEVICES=0 python train.py --dataset=anime --epoch=200 --adversarial_loss_mode=wgan --gradient_penalty_mode=1-gp --gradient_penalty_sample_mode=line --n_d=5
    • see more training exampls in commands.sh

    • tensorboard for loss visualization

      tensorboard --logdir ./output/fashion_mnist_gan/summaries --port 6006

Dcgan Lsgan Wgan Gp Dragan Pytorch

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

Dcgan Lsgan Wgan Gp Dragan Pytorch Info

⭐ Stars 150
🔗 Source Code github.com
🕒 Last Update 9 days ago
🕒 Created 4 years ago
🐞 Open Issues 0
➗ Star-Issue Ratio Infinity
😎 Author LynnHo