  Recent advances in facial expression synthesis have shown promising results
using diverse expression representations including facial action units. Facial
action units for an elaborate facial expression synthesis need to be
intuitively represented for human comprehension, not a numeric categorization
of facial action units. To address this issue, we utilize human-friendly
approach: use of natural language where language helps human grasp conceptual
contexts. In this paper, therefore, we propose a new facial expression
synthesis model from language-based facial expression description. Our method
can synthesize the facial image with detailed expressions. In addition,
effectively embedding language features on facial features, our method can
control individual word to handle each part of facial movement. Extensive
qualitative and quantitative evaluations were conducted to verify the
effectiveness of the natural language.
