LeicaGAN

Pytorch implementation for Paper [Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge] by Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao. (The work was performed when Tingting Qiao was a visiting student at UBTECH Sydney AI Centre in the School of Computer Science, FEIT, the University of Sydney).

Getting Started

Installation

• Clone this repo:

git clone https://github.com/qiaott/LeicaGAN.git 
cd LeicaGAN

• Download our preprocessed data from here.

Pretrain the Text-Visual co-Embedding models

1. Train the text-image encoder:

./do_pretrain_TI.sh

2. Train the text-mask encoder:

./do_pretrain_TM.sh

Train and test the text2image generation model

Train the model:

./do_train.sh

Test the model:

./do_test.sh

Citation

If you find our work useful for your research. please consider citing:

@incollection{LeicaGAN,
title = {Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge},
author = {Qiao, Tingting and Zhang, Jing and Xu, Duanqing and Tao, Dacheng},
booktitle = {Advances in Neural Information Processing Systems 32},
pages = {885--895},
year = {2019}
}