Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
AI and Arts - Exhibits. Pages 5019-5022. https://doi.org/10.24963/ijcai.2022/696

In this paper, we present a novel system (denoted as Polaca) to generate poetic Chinese landscape painting with calligraphy. Unlike previous single image-to-image painting generation, Polaca takes the classic poetry as input and outputs the artistic landscape painting image with the corresponding calligraphy. It is equipped with three different modules to complete the whole piece of landscape painting artwork: the first one is a text-to-image module to generate landscape painting image, the second one is an image-to-image module to generate stylistic calligraphy image, and the third one is an image fusion module to fuse the two images into a whole piece of aesthetic artwork.
Keywords:
Application domains: Images and visual arts
Application domains: Other domains of art or creativity
Theory and philosophy of arts and creativity in AI systems: Autonomous creative or artistic AI
Theory and philosophy of arts and creativity in AI systems: Support of human creativity