@inproceedings{a26bf073ecbf4000b85cb1808118e07d,
title = "Walking Through Shanshui: Generating Chinese Shanshui Paintings via Real-time Tracking of Human Position",
abstract = "Shanshui is a traditional East Asian style of ink brush painting that depicts natural landscapes in a semi-abstract fashion. To create a Shanshui painting, ancient Chinese scholar-artists rely heavily on their travel experiences as well as their movements in natural spaces. In this paper, we propose an interactive system - 'Walking Through Shanshui' - based on AI using Generative Adversarial Networks and various computer vision techniques. The system is an interactive art installation that helps bring the original experience of creating Shanshui to participants by tracking their movement through walking in a virtual space. It uses position tracking as input to generate Shanshui from participant's movements and to paint with a custom generative Sketch-to-Shanshui translation model. The system detects the participant's position in real-time and automatically traces it to generate a Shanshui painting instantly.",
keywords = "AI art, Chinese heritage, Custom data set, Generative art, Generative machine learning, Interactive installation, Shanshui",
author = "Zhou, {Aven Le}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019 ; Conference date: 27-10-2019 Through 28-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ICCVW.2019.00395",
language = "English",
series = "Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3185--3188",
booktitle = "Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019",
}