Rule-based Shape Generation

Rule-Based Shape Generation is a computational method that systematically produces geometric forms through the application of predefined formal rules, distinguished from other shape generation approaches by its reliance on explicit, deterministic algorithms to encode and evolve structural configurations.

38

Publications

3.7K

Citations

71

Authors

51

Institutions

Publications per year

2017–2026

6

Authors

71

  1. LV
    Luc Van Gool

    ETH Zurich, Switzerland

    3 publications · 1.3K citations

    3

    h-index

  2. JH
    Jeff Heisserman

    Boeing (United States), United States

    3 publications · 139 citations

    3

    h-index

  3. PM
    Pascal Müller

    ETH Zurich, Switzerland

    3 publications · 1.3K citations

    3

    h-index

  4. TJ
    Tae Jin Kang

    Seoul National University, South Korea

    2 publications · 93 citations

    2

    h-index

  5. AU
    Andreas Ulmer

    ETH Zurich, Switzerland

    2 publications · 974 citations

    2

    h-index

1–5 of 71

Venues

  1. Environment and Planning B Planning and Design

    5 publications · 294 citations

    5

    h-index

  2. IEEE Computer Graphics and Applications

    3 publications · 395 citations

    3

    h-index

  3. 2

    h-index

  4. ACM Transactions on Graphics

    TOG · 2 publications · 960 citations

    2

    h-index

  5. 2

    h-index

1–5