PyTorch-GAN-Variants
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s-chh
From scratch, simple and easy-to-understand Pytorch implementation of variants of generative adversarial network (GAN). Implemented variants: Conditional GAN (cGAN), DCGAN, LSGAN. Datasets used MNIST,...
Pytorch-cGAN-conditional-GAN
Pytorch implementation of conditional generative adversarial network (cGAN) using DCGAN architecture for generating 32x32 images of MNIST, SVHN, FashionMNIST, and USPS datasets.
Change the DB variable to change the dataset.
For using the saved model to generate images, set LOAD_MODEL to True and EPOCHS to 0.
Generated Samples
MNIST
SVHN
FashionMNIST
USPS
s-chh