Generative Adversarial Text to Image Synthesis / Please Star -->
This is an experimental 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.
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_c10folder and paste it in
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 python downloads.py
downloads.pydownload Oxford-102 flower dataset and caption files(run this first).
data_loader.pyload data for further processing.
train_txt2im.pytrain a text to image model.