DCGAN in Pytorch

Overview

This code is the Pytorch implementation of Deep Convolutional Generative Adversarial Networks on MNIST and Anime dataset.

Dataset

Anime dataset can be downloaded from https://zhuanlan.zhihu.com/p/24767059 or https://drive.google.com/drive/folders/1qDhrjL0iz9rKb5t90Iy81pJKKCy9zNXx?usp=sharing

Prerequisites

• python(3.6)
• pytorch(0.3.1)

Results on MNIST dataset

The network was trained for 50 epochs in MNIST dataset,

epoch:10	epoch:20	epoch:50

Results on Anime dataset

The network was trained for 200 epochs in Anime dataset.

epoch:10	epoch:50	epoch:200

References

• https://github.com/togheppi/DCGAN

• https://zhuanlan.zhihu.com/p/24767059

• https://github.com/pytorch/examples/tree/master/dcgan