Walking Through Shanshui: Generating Chinese Shanshui Paintings via Real-time Tracking of Human Position

Aven Le Zhou*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3185-3188
Number of pages4
ISBN (Electronic)9781728150239
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes
Event17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019 - Seoul, Korea, Republic of
Duration: 27 Oct 201928 Oct 2019

Publication series

NameProceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019

Conference

Conference17th IEEE/CVF International Conference on Computer Vision Workshop, ICCVW 2019
Country/TerritoryKorea, Republic of
CitySeoul
Period27/10/1928/10/19

Keywords

  • AI art
  • Chinese heritage
  • Custom data set
  • Generative art
  • Generative machine learning
  • Interactive installation
  • Shanshui

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