Multi-class GAN

Citation

If you use this work in your research, please cite:

@article{Mao2016,
  author = {Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau and Zhen Wang},
  title = {Multi-class Generative Adversarial Networks with the L2 Loss Function},
  journal = {arXiv preprint arXiv:1611.04076},
  year = {2016}
}

Prerequisites

• Tensorflow
• SciPy

Usage

1.Download datasets

• HWDB1.0 (Handwritten Chinese characters)
• LSUN-bedroom

2.Convert data

  $ python convert_icdar.py --source_dir $SOURCE_PATH --target_dir $TARGET_PATH
  $ python convert_lsun.py --source_dir $SOURCE_PATH --target_dir $TARGET_PATH

3.Train model

  $ python train_chn.py --data_dir $DATA_DIR
  $ python train_lsun.py --data_path $DATA_PATH