Stochastic Image Generation
Stochastic Image Generation is a procedural image generation method that employs probabilistic models to produce visual outputs, distinguishing itself through the incorporation of randomness and statistical variation in the synthesis process.
48
Publications
5.9K
Citations
138
Authors
79
Institutions
Publications per year
2017–2026
14
48
Computer rendering of stochastic models
Alain Fournier, Don Fussell, Loren Carpenter · Communications of the ACM · 1982 · 818 citations
Wang Tiles for image and texture generation
Michael F. Cohen, Jonathan Shade, Stefan Hiller · 2003 · 332 citations
1–5 of 48
138
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Institut national de recherche en sciences et technologies du numérique, France
2 publications · 131 citations
2
h-index
1–5 of 138
79
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
606 citations
Technische Universität Dresden
Dresden, Germany
2 h-index
2 publications
595 citations
Simon Fraser University
Burnaby, Canada
2 h-index
8 publications
616 citations
The University of Texas at Dallas
Richardson, United States
2 h-index
4 publications
62 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
151 citations
Laboratoire Lorrain de Recherche en Informatique et ses Applications
Nancy, France
2 h-index
6 publications
149 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
49 citations
Wildlife Information Liaison Development
Coimbatore, India
2 h-index
2 publications
595 citations
1–8 of 79
3 publications · 144 citations
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TOG · 3 publications · 342 citations
3
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Repository · 2 publications · 29 citations
2
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TPAMI · 2 publications · 1.5K citations
2
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1 publications · 24 citations
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