MemeFaceGenerator: Adversarial Synthesis of Chinese Meme-face from Natural Sentences
This addresses the need for automated meme creation in Chinese social networks, but it is incremental as it adapts existing GAN methods to a specific cultural domain.
The paper tackled the problem of automatically generating Chinese meme-faces from text inputs by proposing MemeFaceGenerator, a GAN with attention and template signals, and demonstrated it can produce high-quality meme-faces from random text.
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.