Typeface Completion with Generative Adversarial Networks

11/09/2018
by   Yonggyu Park, et al.
Korea University
10

The mood of a text and the intention of the writer can be reflected in the typeface. However, in designing a typeface, it is difficult to keep the style of various characters consistent, especially for languages with lots of morphological variations such as Chinese. In this paper, we propose a Typeface Completion Network (TCN) which takes a subset of characters as an input, and automatically completes the entire set of characters in the same style as the input characters. Unlike existing models proposed for style transfer, TCN embeds a character image into two separate vectors representing typeface and content. Combined with a reconstruction loss from the latent space, and with other various losses, TCN overcomes the inherent difficulty in designing a typeface. Also, compared to previous style transfer models, TCN generates high quality characters of the same typeface with a much smaller number of model parameters. We validate our proposed model on the Chinese and English character datasets, and the CelebA dataset on which TCN outperforms recently proposed state-ofthe-art models for style transfer. The source code of our model is available at https://github.com/yongqyu/TCN.

READ FULL TEXT

page 1

page 3

page 6

page 7

07/06/2018

Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks

Can we make a famous rap singer like Eminem sing whatever our favorite s...
09/10/2021

Scalable Font Reconstruction with Dual Latent Manifolds

We propose a deep generative model that performs typography analysis and...
03/26/2023

Disentangling Writer and Character Styles for Handwriting Generation

Training machines to synthesize diverse handwritings is an intriguing ta...
05/30/2023

Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modeling

In this paper, we propose Calliffusion, a system for generating high-qua...
07/11/2023

Duncode Characters Shorter

This paper investigates the employment of various encoders in text trans...
12/06/2022

GAS-Net: Generative Artistic Style Neural Networks for Fonts

Generating new fonts is a time-consuming and labor-intensive, especially...
12/12/2022

Diff-Font: Diffusion Model for Robust One-Shot Font Generation

Font generation is a difficult and time-consuming task, especially in th...

Code Repositories

TCN

PyTorch Implementation of TCN


view repo

Typeface-and-Font-Style-Transfer

None


view repo

Please sign up or login with your details

Forgot password? Click here to reset