TensorFlow / TensorLayer implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks.
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- Brandon Amos wrote an excellent blog post and image completion code based on this repo.
- To avoid the fast convergence of D (discriminator) network, G (generator) network is updated twice for each D network update, which differs from original paper.
- Python 2.7 or Python 3.3+
- TensorFlow==1.0+
- TensorLayer==1.4+
First, download images to data/celebA:
$ python download.py celebA [202599 face images]
Second, train the GAN:
$ python main.py
