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DG-Font: Deformable Generative Networks for Unsupervised Font Generation
The source code for 'DG-Font: Deformable Generative Networks for Unsupervised Font Generation', by Yangchen Xie, Xinyuan Chen, Li sun and Yue lu. The paper was accepted by CVPR2021.
Note
Note that the current repo only works with 80x80 resolution images. An improved version of DGFont, DGFont++, is coming soon, which will also fit 128x128 and 256x256 resolution images.
Gallery
Dependencies
Libarary
pytorch (>=1.0)
tqdm
numpy
opencv-python
scipy
sklearn
matplotlib
pillow
tensorboardX
DCN
please refer to https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/tree/pytorch_1.0.0 to install the dependencies of deformable convolution.
Dataset
方正字库 provides free font download for non-commercial users.
Example directory hierarchy
Project
|--- DG-Font
| |--- font2img.py
| |--- main.py
| |--- train
| |--- train.py
|
|--- data
|--- font1
|--- font2
|--- 0000.png
|--- 0001.png
|--- ...
|--- ...
How to run
prepare dataset
python font2img.py --ttf_path ttf_folder --chara character.txt --save_path save_folder --img_size 80 --chara_size CHARACTERSIZE
train
python main.py --gpu GPU_ID --img_size 80 --data_path /path/to --output_k CLASS_NUM --batch_size BATCHSIZE --val_num TEST_IMGS_NUM_FOR_EACH_CLASS
test
python main.py --gpu GPU_ID --img_size 80 --data_path /path/to --output_k CLASS_NUM --batch_size BATCHSIZE --validation --load_model $DIR_TO_LOAD
Acknowledgements
We would like to thank Johnson yue and 上海驿创信息技术有限公司 for their advices in code. Our code is based on TUNIT.
Bibtex
@inproceedings{DG-Font,
title={DG-Font: Deformable Generative Networks for Unsupervised Font Generation},
author={Yangchen Xie, Xinyuan Chen, Li sun, Yue lu},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2021}
}