Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

Author:

Yuan Shaozu1,Dai Aijun1,Yan Zhiling1,Liu Ruixue1,Chen Meng1,Chen Baoyang2,Qiu Zhijie2,He Xiaodong1

Affiliation:

1. JD AI, Beijing, China

2. Central Academy of Fine Arts, Beijing, China

Abstract

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.

Publisher

International Joint Conferences on Artificial Intelligence Organization

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