Generative Visualization
Generative Visualization is a type of data visualization method that employs algorithmic or computational processes to autonomously create visual representations from data, distinguished by its use of generative models or rules to produce novel, dynamic, or evolving visual forms.
13
Publications
451
Citations
47
Authors
18
Institutions
Publications per year
2017–2026
6
Parents
13
Generative AI for visualization: State of the art and future directions
Yilin Ye, Jianing Hao, Yihan Hou et al. · Visual Informatics · 2024 · 106 citations · Full text
1–5 of 13
47
3
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2
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2
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2
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2
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1–5 of 47
18
University of Konstanz
Konstanz, Germany
3 h-index
9 publications
261 citations
University of Chicago
Chicago, United States
2 h-index
2 publications
65 citations
Université de Montréal
Montreal, Canada
2 h-index
5 publications
86 citations

TU Wien
Vienna, Austria
2 h-index
2 publications
65 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
15 citations

Aston University
Birmingham, United Kingdom
1 h-index
2 publications
32 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
7 publications
196 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
3 publications
318 citations
1–8 of 18
Conference · 1 publications · 17 citations
1
h-index
TVCG · 1 publications · 59 citations
1
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1 publications · 46 citations
1
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1 publications · 106 citations
1
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Repository · 1 publications · 18 citations
1
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1–5