TY - GEN
T1 - An interactive and generative approach for Chinese Shanshui painting document
AU - Zhou, Aven Le
AU - Wang, Qiu Feng
AU - Huang, Kaizhu
AU - Lo, Cheng Hung
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported by the National Natural Science Foundation of China under grants no.61876154 and 61876155, Natural Science Foundation of Jiangsu Higher Education Institutions of China no.17KJB520041, Suzhou Science and Technology Program no.SYG201838, and CCF-Tencent Open Research Fund RAGR20180109.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
KW - Chinese Shanshui
KW - Generative Adversarial Networks
KW - Image-to-image Translation
KW - Interactive system
KW - Sketch-to-Shanshui Translation
UR - http://www.scopus.com/inward/record.url?scp=85079851174&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2019.00136
DO - 10.1109/ICDAR.2019.00136
M3 - Conference Proceeding
AN - SCOPUS:85079851174
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 819
EP - 824
BT - Proceedings - 15th IAPR International Conference on Document Analysis and Recognition, ICDAR 2019
PB - IEEE Computer Society
T2 - 15th IAPR International Conference on Document Analysis and Recognition, ICDAR 2019
Y2 - 20 September 2019 through 25 September 2019
ER -