Deep Convolutional Generative Adversarial Networks based on TensorFlow / TensorLayer
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README.md

DCGAN in TensorFlow

TensorFlow / TensorLayer implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks.

Looking for Text to Image Synthesis ? click here

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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.

Prerequisites

Usage

First, download images to data/celebA:

$ python download.py celebA		[202599 face images]

Second, train the GAN:

$ python main.py

Result on celebA