Vector-based Generation
Vector-Based Generation is a generative method in computational design and digital art that synthesizes outputs using parametric, mathematically-defined vector representations—rather than raster or pixel-based structures—to enable resolution-independent, editable, and geometrically precise visual forms.
75
Publications
2.9K
Citations
237
Authors
94
Institutions
Publications per year
2017–2026
29
Parents
75
Raster-to-Vector: Revisiting Floorplan Transformation
Chen Liu, Jiajun Wu, Pushmeet Kohli et al. · 2017 · 230 citations
Tackling mode collapse in multi-generator GANs with orthogonal vectors
Wei Li, Li Fan, Zhenyu Wang et al. · Pattern Recognition · 2020 · 135 citations
Im2Vec: Synthesizing Vector Graphics without Vector Supervision
Pradyumna Reddy, Michaël Gharbi, Michal Lukáč et al. · 2021 · 88 citations
1–5 of 75
237
University of California, Santa Barbara, United States
5 publications · 268 citations
5
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3
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3
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3
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3
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1–5 of 237
94
Adobe Systems (United States)
San Jose, United States
10 h-index
30 publications
1K citations
Synopsys (United States)
Mountain View, United States
6 h-index
6 publications
237 citations
University of California, Santa Barbara
Santa Barbara, United States
5 h-index
10 publications
588 citations
Motorola (United States)
Schaumburg, United States
4 h-index
5 publications
130 citations
The University of Texas at Austin
Austin, United States
4 h-index
4 publications
115 citations

Peking University
Beijing, China
3 h-index
11 publications
273 citations
Fujitsu (United States)
Sunnyvale, United States
3 h-index
3 publications
150 citations
University College London
London, United Kingdom
2 h-index
4 publications
204 citations
1–8 of 94
Repository · 4 publications · 54 citations
4
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TVCG · 2 publications · 61 citations
2
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TOG · 4 publications · 95 citations
2
h-index
2 publications · 94 citations
2
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1 publications · 251 citations
1
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1–5