Chinese meme-face is a special kind of internet subculture widely spread in Chinese Social Community Networks. It usually consists of a template image modified by some amusing details and a text caption. In this paper, we present MemeFaceGenerator, a Generative Adversarial Network with the attention module and template information as supplementary signals, to automatically generate meme-faces from text inputs. We also develop a web service as system demonstration of meme-face synthesis. MemeFaceGenerator has been shown to be capable of generating high-quality meme-faces from random text inputs.
@article{arxiv.1908.05138,
title = {MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences},
author = {Yifu Chen and Zongsheng Wang and Bowen Wu and Mengyuan Li and Huan Zhang and Lin Ma and Feng Liu and Qihang Feng and Baoxun Wang},
journal= {arXiv preprint arXiv:1908.05138},
year = {2019}
}