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An interactive and generative approach for Chinese Shanshui painting document

Publication ,  Conference
Zhou, L; Wang, QF; Huang, K; Lo, CH
Published in: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
September 1, 2019

Chinese Shanshui is a landscape painting document mainly drawing mountain and water, which is popular in Chinese culture. However, it is very challenging to create this by general people. In this paper, we propose an interactive and generative approach to automatically generate the Chinese Shanshui painting documents based on users' input, where the users only need to sketch simple lines to represent their ideal landscape without any professional Shanshui painting skills. This sketch-to-Shanshui translation is optimized by the model of cycle Generative Adversarial Networks (GAN). To evaluate the proposed approach, we collected a large set of both sketch data and Chinese Shanshui painting data to train the model of cycle-GAN, and developed an interactive system called Shanshui-DaDA (i.e., Design and Draw with AI) to generate Chinese Shanshui painting documents in real-time. The experimental results show that this system can generate satisfied Chinese Shanshui painting documents by general users.

Duke Scholars

Published In

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

DOI

ISSN

1520-5363

ISBN

9781728128610

Publication Date

September 1, 2019

Start / End Page

819 / 824
 

Citation

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Zhou, L., Wang, Q. F., Huang, K., & Lo, C. H. (2019). An interactive and generative approach for Chinese Shanshui painting document. In Proceedings of the International Conference on Document Analysis and Recognition, ICDAR (pp. 819–824). https://doi.org/10.1109/ICDAR.2019.00136
Zhou, L., Q. F. Wang, K. Huang, and C. H. Lo. “An interactive and generative approach for Chinese Shanshui painting document.” In Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 819–24, 2019. https://doi.org/10.1109/ICDAR.2019.00136.
Zhou L, Wang QF, Huang K, Lo CH. An interactive and generative approach for Chinese Shanshui painting document. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR. 2019. p. 819–24.
Zhou, L., et al. “An interactive and generative approach for Chinese Shanshui painting document.” Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 2019, pp. 819–24. Scopus, doi:10.1109/ICDAR.2019.00136.
Zhou L, Wang QF, Huang K, Lo CH. An interactive and generative approach for Chinese Shanshui painting document. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR. 2019. p. 819–824.

Published In

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

DOI

ISSN

1520-5363

ISBN

9781728128610

Publication Date

September 1, 2019

Start / End Page

819 / 824