MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences

14 Aug 2019  ·  Yifu Chen, Zongsheng Wang, Bowen Wu, Mengyuan Li, huan zhang, Lin Ma, Feng Liu, Qihang Feng, Baoxun Wang ·

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.

PDF Abstract


  Add Datasets introduced or used in this paper

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.


No methods listed for this paper. Add relevant methods here