CGAN ProjectionCGAN ACGAN InfoGAN Pytorch
Conditional GANs
Pytorch implementation of several GANs with conditional signals (supervised or unsupervised). All experiments are conducted on Fashion-MNIST, and the network structures are adapted from Improved GAN.
CGAN | Projection CGAN | ACGAN |
---|---|---|
InfoGAN1 | InfoGAN2 | InfoGAN3 |
Prerequisites
Examples of training
training
CUDA_VISIBLE_DEVICES=0 python train_CGAN.py
tensorboard for loss visualization
CUDA_VISIBLE_DEVICES='' tensorboard --logdir ./output/CGAN_default/summaries --port 6006
Others
FashionMNIST
by MNIST
or CIFAR10
in the codes.