This is a tensorflow implementation of the Auxiliary Classifier GAN described in the article CONDITIONAL IMAGE SYNTHESIS WITH AUXILIARY CLASSIFIER GANS.
python train.py \
--dataset=mnist \
--input_height=64 \
--input_width=64 \
--input_channels=1 \
--output_height=64 \
--output_width=64 \
--log_dir=mnist_log_dir
![samples] (samples/sampled_images_680.jpg)
![samples] (samples/sampled_images_690.jpg)