This is a tensorflow implementation of synthesizing images. The images are synthesized using the GAN-CLS Algorithm from the paper Generative Adversarial Text-to-Image Synthesis. This implementation is built on top of the excellent DCGAN in Tensorflow.
Plese star https://github.com/tensorlayer/tensorlayer
Image Source : Generative Adversarial Text-to-Image Synthesis Paper
102flowers/102flowers/*.jpg
. Also download the captions from this link. Extract the archive, copy the text_c10
folder and paste it in 102flowers/text_c10/class_*
. N.B You can downloads all data files needed manually or simply run the downloads.py and put the correct files to the right directories.
python downloads.py
downloads.py
download Oxford-102 flower dataset and caption files(run this first).data_loader.py
load data for further processing.train_txt2im.py
train a text to image model.utils.py
helper functions.model.py
models.Apache 2.0