Procedural Image Generation is a computational method within generative art that produces visual content through algorithmically defined rules and parameters rather than direct manual design or static input.
68
Publications
2.9K
Citations
240
Authors
120
Institutions
Publications per year
2017–2026
35
Parents
Publications
68
Junhwan Kim, Fabio Pellacini · 2002 · 163 citations · Full text
SketchyCOCO: Image Generation From Freehand Scene Sketches
Chengying Gao, Qi Liu, Qi Xu et al. · 2020 · 139 citations
Deep learning for procedural content generation
Jialin Liu, Sam Snodgrass, Ahmed Khalifa et al. · Neural Computing and Applications · 2020 · 132 citations · Full text
1–5 of 68
Authors
240
- JT
5
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- AK
4
h-index
- PP
3
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- RM
3
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- MC
2
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1–5 of 240
Institutions
120
Adobe Systems (United States)
San Jose, United States
5 h-index
13 publications
442 citations
New York University
New York, United States
4 h-index
8 publications
428 citations
Centre National de la Recherche Scientifique
Paris, France
3 h-index
9 publications
585 citations
University of Malta
Msida, Malta
3 h-index
3 publications
175 citations
IT University of Copenhagen
Copenhagen, Denmark
3 h-index
4 publications
231 citations
Wenzhou Medical University
Wenzhou, China
2 h-index
13 publications
1.2K citations
Ocean University of China
Qingdao, China
2 h-index
9 publications
185 citations
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
2 publications
53 citations
1–8 of 120
Venues
- Computer Graphics Forum
7 publications · 309 citations
7
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- ACM Transactions on Graphics
TOG · 3 publications · 151 citations
3
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- Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
2 publications · 56 citations
2
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- Electronic Notes in Theoretical Computer Science
ENTCS · 1 publications · 107 citations
1
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- IEEE Computer Graphics and Applications
1 publications · 48 citations
1
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1–5