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Metro Re-illustrated: Incremental Generation of Stylized Paintings Using Neural Networks

Published:23 July 2023Publication History

ABSTRACT

Metro Re-illustrated is a project that explores incremental generation of stylized paintings of city metro maps using neural networks. It begins with an interactive system for labeling time-series data on city metro maps and generating reference images. These images are fed into a neural painter that incrementally generates oil painting-like strokes on virtual canvases. The generated paintings demonstrate blending and layering features of oil paintings while capturing the progressive nature of urban development.

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References

  1. Processing Foundation. 2023. home | p5.js. https://p5js.org/copyright.html. Accessed: 2023-04-23.Google ScholarGoogle Scholar
  2. Dong Lin, Wout Broere, and Jianqiang Cui. 2022. Metro systems and urban development: Impacts and implications. Tunnelling and Underground Space Technology 125 (2022), 104509.Google ScholarGoogle ScholarCross RefCross Ref
  3. Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, and Zhenwei Shi. 2021. Stylized neural painting. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 15689–15698.Google ScholarGoogle ScholarCross RefCross Ref

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      • Published in

        cover image ACM Conferences
        SIGGRAPH '23: ACM SIGGRAPH 2023 Posters
        July 2023
        111 pages
        ISBN:9798400701528
        DOI:10.1145/3588028

        Copyright © 2023 Owner/Author

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 23 July 2023

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