Code for Least Squares Generative Adversarial Networks and On the Effectiveness of Least Squares Generative Adversarial Networks.
Related project: improved_LSGAN
- Tensorflow
- SciPy
1.Download datasets
2.Convert data
$ python convert_lsun.py --source_dir $SOURCE_PATH --target_dir $TARGET_PATH
$ python convert_icdar.py --source_dir $SOURCE_PATH --target_dir $TARGET_PATH
3.Train model
$ python train_lsun.py --data_path $DATA_PATH
$ python train_chn.py --data_dir $DATA_DIR
If you use this work in your research, please cite:
@article{arxiv1611.04076,
author = {Xudong Mao and Qing Li and Haoran Xie and Raymond Y.K. Lau and Zhen Wang and Stephen Paul Smolley},
title = {Least Squares Generative Adversarial Networks},
journal = {arXiv preprint arXiv:1611.04076},
year = {2016}
}
