# DG-Font

**Repository Path**: goodxiaowan/DG-Font

## Basic Information

- **Project Name**: DG-Font
- **Description**: The pytorch implementation of DG-Font: Deformable Generative Networks for Unsupervised Font Generation
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-09-11
- **Last Updated**: 2024-09-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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.

[Arvix version](https://arxiv.org/abs/2104.03064)
# Note
Note that the current repo only works with 80x80 resolution images. An improved version of DGFont, [DGFont++](https://arxiv.org/abs/2212.14742), is coming soon, which will also fit 128x128 and 256x256 resolution images.
# Gallery
![image](https://github.com/ecnuycxie/DG-Font/blob/main/images/results2.png)
![image](https://github.com/ecnuycxie/DG-Font/blob/main/images/results.png)

# 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](https://www.foundertype.com/index.php/FindFont/index) 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](https://github.com/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](https://github.com/clovaai/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}
    }