convexsetgithub / TET-GAN

TET-GAN: Text Effects Transfer via Stylization and Destylization. AAAI 2019

TET-GAN

This is a pytorch implementation of the paper.

Shuai Yang, Jiaying Liu, Wenjing Wang and Zongming Guo. TET-GAN: Text Effects Transfer via Stylization and Destylization, Accepted by AAAI Conference on Artificial Intelligence (AAAI), 2019.

[Project] | [Paper] | [Dataset]

This code currently only provides functions for testing. We are cleanning up the training code and the full code will be released soon.

It is provided for educational/research purpose only. Please consider citing our paper if you find the software useful for your work.

Usage:

Prerequisites

• Python 2.7
• Pytorch 0.4.1
• matplotlib
• scipy
• opencv-python
• Pillow

Install

• Clone this repo:

git clone https://github.com/williamyang1991/TET-GAN.git
cd TET-GAN/src

Testing Example

• Download a pre-trained model from [Google Drive] or [Baidu Cloud] to ./save/
• Style Transfer with default parameters
  • Results can be found in ./output/

python test.py

• Destylization with default parameters

python test.py --c2s 0

• Transfer the style of 26.jpg onto the text image 2.png and save the result as 26_2.png

python test.py --style_name ../data/style/26.png --content_name ../data/content/2.png --name 26_2.png

• For black and white text images, use option --content_type 1

python test.py --style_name ../data/style/1.png --content_name ../data/content/4.png --content_type 1

Training Examples

We are cleanning up the related code and it will be coming soon.

Contact

Shuai Yang

[e-mail]