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
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.
BibTeX
@inproceedings{ijcai2022p696,
title = {Learning to Generate Poetic Chinese Landscape Painting with Calligraphy},
author = {Yuan, Shaozu and Dai, Aijun and Yan, Zhiling and Liu, Ruixue and Chen, Meng and Chen, Baoyang and Qiu, Zhijie and He, Xiaodong},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, {IJCAI-22}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Lud De Raedt},
pages = {5019--5022},
year = {2022},
month = {7},
note = {AI and Arts - Exhibits},
doi = {10.24963/ijcai.2022/696},
url = {https://doi.org/10.24963/ijcai.2022/696},
}