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
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.