19 citations · 60 across the 7 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 7 cited
Chinese Typeface Transformation with Hierarchical Adversarial Network
Jie Chang, Yujun Gu, Ya Zhang
In this paper, we explore automated typeface generation through image style transfer which has shown great promise in natural image generation. Existing style transfer methods for…
cs.CV2017★ 18 cited
Separating Style and Content for Generalized Style Transfer
Yexun Zhang, Ya Zhang, Wenbin Cai +1
Neural style transfer has drawn broad attention in recent years. However, most existing methods aim to explicitly model the transformation between different styles, and the learned…
cs.CV2017★ 19 cited
Chinese Typography Transfer
Jie Chang, Yujun Gu
In this paper, we propose a new network architecture for Chinese typography transformation based on deep learning. The architecture consists of two sub-networks: (1)a fully convolu…