text to image learning
Image Source : Generative Adversarial Text-to-Image Synthesis Paper
- TensorFlow 1.0+
- TensorLayer 1.4+
- NLTK : for tokenizer
- The model is currently trained on the flowers dataset. Download the images from here .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.
mkdir checkpoints cvpr2016_flowers 102flowers Data imagenet
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.
- Generative Adversarial Text-to-Image Synthesis Paper
- Generative Adversarial Text-to-Image Synthesis Torch Code
- Skip Thought Vectors Paper
- Skip Thought Vectors Code
- Generative Adversarial Text-to-Image Synthesis with Skip Thought Vectors TensorFlow code
- DCGAN in Tensorflow