Stochastic Shape Grammar

A Stochastic Shape Grammar is a generative system of shape computation that extends deterministic shape grammar formalisms by incorporating probabilistic rules, where each production rule is associated with a probability distribution that governs its application, thereby enabling the synthesis of variable yet structurally consistent two-dimensional configurations.

2

Publications

167

Citations

6

Authors

2

Institutions

Publications per year

2017–2026

0

Variants

Stochastic Shape Grammars

Authors

6

  1. YZ
    Yibiao Zhao

    University of California, Los Angeles, United States

    1 publications · 152 citations

    1

    h-index

  2. SZ
    Song‐Chun Zhu

    University of California, Los Angeles, United States

    1 publications · 152 citations

    1

    h-index

  3. BM
    Barry M. Pryor

    University of Arizona, United States

    1 publications · 15 citations

    1

    h-index

  4. JS
    Joseph Schlecht

    University of Arizona, United States

    1 publications · 15 citations

    1

    h-index

  5. KB
    Kobus Barnard

    University of Arizona, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 6

Institutions

2

  1. University of California, Los Angeles

    Los Angeles, United States

    1 h-index

    2 publications

    304 citations

  2. University of Arizona

    Tucson, United States

    1 h-index

    4 publications

    60 citations

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