  In this paper, we propose and end-to-end deep Chinese font generation system.
This system can generate new style fonts by interpolation of latent
style-related embeding variables that could achieve smooth transition between
different style. Our method is simpler and more effective than other methods,
which will help to improve the font design efficiency

Computer Vision and Pattern Recognition;Machine Learning;Machine Learning