Generative Visual Systems
Generative Visual Systems is a computational art methodology that uses algorithmic processes to autonomously produce dynamic visual forms, distinguished by its reliance on rule-based systems and non-deterministic outcomes within creative coding practices.
103
Publications
6.7K
Citations
424
Authors
148
Institutions
Publications per year
2017–2026
82
103
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves et al. · arXiv (Cornell University) · 2015 · 965 citations · Full text
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves et al. · 2015 · 762 citations
A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs
Dileep George, Wolfgang Lehrach, Ken Kansky et al. · Science · 2017 · 294 citations
Bo Zhao, Lili Meng, Weidong Yin et al. · 2019 · 215 citations
Computing, Architectural Representation, Computer Vision +14
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148
National University of Singapore
Singapore, Singapore
5 h-index
6 publications
567 citations

Zhejiang University
Hangzhou, China
4 h-index
10 publications
741 citations
Tsinghua University
Beijing, China
4 h-index
20 publications
743 citations
Adobe Systems (United States)
San Jose, United States
4 h-index
14 publications
847 citations
Google (United States)
Mountain View, United States
4 h-index
27 publications
9.5K citations
Universidad del Noreste
Tampico, Mexico
3 h-index
7 publications
326 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
8 publications
571 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
9 publications
354 citations
1–8 of 148
Repository · 19 publications · 1.5K citations
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TOG · 5 publications · 284 citations
5
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Conference · 3 publications · 322 citations
3
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TVCG · 3 publications · 97 citations
3
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Conference · 2 publications · 120 citations
2
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