Conditional DRAGAN(cGAN & WGAN based) code(& model) repo.

• Generator 4-layer-512-ReluMLP(last layer is tanh)
• Discriminator 4-layer-512-ReluMLP.

NOTE: Not include any normalization.

Question is always welcome, Pls add some issue.

Its cGAN. Concat Noise z and Label c(onehot), then linear layer(Fully-Coneccted Layer) handle it.

python cdragan -fmnist --gpu 0 --epoch 100 --out result 

clone repo and run as follows:

nvidia-docker build -t rizaudo/cdragan-vis . nvidia-docker run -it -v (pwd):/dic rizaudo/cdragan-vis /usr/bin/python3 /dic/visualizer.py -o /dic/visu --gendir /dic/models/gen_iter_18000.npz --allnum --fmnist ls ./visu/preview/[GENERATED NEW IMAGE] 

(model is gen_iter_18000.npz)

• T-Shirt/top

• Trouser

• pullover

• Dress

• Coat

• Sandal

• Shirt

• Sneaker

• Bag

• Ankle boot

This materials provided as MIT License(Please see LICENSE file).