Performance comparison of existing GAN based Text To Image algorithms. (GAN-CLS, StackGAN, TAC-GAN) Note: The codes in algorithms folder is brought from the respective author's repo, not written by me.
Bug fixed.
StackGAN:
modified requirements.txt to avoid environemnt conflict.
used tensorflow 1.0.1 version instead of 0.12.0, to avoid tf.zeros_initializer() error.
change the argument order of tf.concat to avoid type mismatch error. [see here]
added folder/file creation code to automatically create Data/birds/example_captions.txt file.
(please add example sentences to example_captions.txt file, otherwise there will be error.)
GAN-CLS:
(you may need to manually do this to install tensorflow 0.11.0 version using pip)
export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
sudo pip install --upgrade $TF_BINARY_URL
used tensorflow 0.11.0 version instead of 0.12.0, to avoidi get_variable() error.