Generative Assemblies
Generative Assemblies is a computational framework within algorithmic form generation that systematically organizes parametric design elements into hierarchical, rule-based configurations to enable the automated synthesis of complex architectural or geometric forms through generative processes.
5
Publications
128
Citations
25
Authors
13
Institutions
Publications per year
2017–2026
4
Parents
5
R. Kenny Jones, Theresa Barton, Xianghao Xu et al. · ACM Transactions on Graphics · 2020 · 76 citations · Full text
SCORES: Shape Composition with Recursive Substructure Priors
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri et al. · arXiv (Cornell University) · 2018 · 16 citations · Full text
Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network
Huiyuan Chen, Yusan Lin, Fei Wang et al. · 2021 · 13 citations
1–5 of 5
25
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1
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1
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Indiana University – Purdue University Indianapolis, United States
1 publications · 12 citations
1
h-index
1
h-index
1–5 of 25
13
Adobe Systems (United States)
San Jose, United States
2 h-index
3 publications
168 citations
Autodesk (Canada)
Montreal, Canada
1 h-index
1 publications
11 citations
University College London
London, United Kingdom
1 h-index
1 publications
76 citations

National University of Defense Technology
Changsha, China
1 h-index
3 publications
48 citations
Simon Fraser University
Burnaby, Canada
1 h-index
3 publications
48 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
1 h-index
2 publications
24 citations

University of Alabama at Birmingham
Birmingham, United States
1 h-index
2 publications
24 citations

Indian Institute of Technology Bombay
Mumbai, India
1 h-index
1 publications
16 citations
1–8 of 13
1 publications · 11 citations
1
h-index
TOG · 1 publications · 76 citations
1
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Repository · 1 publications · 16 citations
1
h-index
1 publications · 11 citations
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