Awesome
FTransGAN in PyTorch
This is the implementation for the paper:
Few-shot Font Style Transfer between Different Languages
in Proc. of Winter Applications on Computer Vision WACV’21, Jan., 2021. Paper.
<div align="center"> <img src="images/application.png" width="600"> </div>Requirements
- Linux
- CPU or NVIDIA GPU + CUDA CuDNN
- Python 3
- torch>=0.4.1
- torchvision>=0.2.1
- dominate>=2.3.1
- visdom>=0.1.8.3
How to use
-
Download the dataset.
-
Unzip it to ./datasets/
-
To view training results and loss plots, run
python -m visdom.serverand click the URL http://localhost:8097. -
Train the model
bash ./train.sh
- Test
bash ./test.sh
- Evaluate
bash ./evaluate.sh
- scripts.sh integrate train.sh, test.sh, and evaluate.sh
bash ./scripts.sh
Gallery
<img src="images/res_1.png"> <img src="images/res_2.png"> <img src="images/res_3.png">Acknowledgements
Code derived and reshaped from: