Despite the exciting AI applications mentioned, AI is still significantly lagging behind humans in creativity, which is often considered the ultimate moonshot for AI. Our work is inspired by Chinese calligraphy, which is a unique form of visual art where the character itself is an aesthetic painting. We also draw inspirations from the 1950s, such as the work by American painter Franz Kline. In this paper, we present a creative framework based on Conditional Generative Adversarial Networks and the Contextual Neural Language Model to generate abstract artworks that have intrinsic meaning and aesthetic value.

The original intention and vision of the team are to use this model to make Chinese calligraphy a special medium for the interconnection of words and images so that NLP and GAN technology can create more abstract art inspired by Chinese calligraphy. Make artificial intelligence more "emotional" and bring more fun to human life.