Implementation of conditional DCGAN https://arxiv.org/abs/1411.1784 with keras.
Implements the improvements and architecture of https://arxiv.org/pdf/1611.07004v1.pdf.
Code borrows from the Keras DCGAN https://github.com/jacobgil/keras-dcgan and the tensorflow conditional GAN https://github.com/ppwwyyxx/tensorpack/blob/master/examples/GAN/Image2Image.py.
This assumes theano ordering.
Training:
KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile,device=cuda0,floatX=float32 ./conditional_gan.py --data train
KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile,device=cuda0,floatX=float32 ./conditional_gan.py --data train
Image generation:
KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile,device=cuda0,floatX=float32 ./conditional_gan.py --data test
KERAS_BACKEND=theano THEANO_FLAGS=optimizer=fast_compile,device=cuda0,floatX=float32 ./conditional_gan.py --data test
generated images (conditioned on RGB) :
train process :
