DCGNA Reimplementation in TensorFLow

Link of the original paper: https://arxiv.org/abs/1511.06434

Code

1. src/DCGAN.py is the main implementation

2. src/ops.py consists of different wrapped operations for TensorFlow

3. main.py starts the training on MNIST dataset (for now it only trains on MNIST. Other dataset will be implemented in the future)

MINIST Results

Generator's Loss:

Discriminator's Loss:

Generated Numbers:

CelebA Dataset

Generator's Loss:

Discriminator's loss:

CelebA Dataset(downloaded from http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html):

Generated Faces

Reference

https://github.com/carpedm20/DCGAN-tensorflow

https://github.com/yihui-he/GAN-MNIST/blob/master/README.md