Asset Generation
Asset Generation is a procedural methodology that systematically produces digital content assets through algorithmic means, distinguished from manual or static approaches by its reliance on rule-based, parametric, or generative techniques to create scalable, reusable, and context-adaptive graphical resources.
23
Publications
1.4K
Citations
64
Authors
31
Institutions
Publications per year
2017–2026
7
Parents
23
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov et al. · 2023 · 175 citations
On Esscher Transforms in Discrete Finance Models
Hans Bühlmann, Freddy Delbaen, Paul Embrechts et al. · Astin Bulletin · 1998 · 101 citations · Full text
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31

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
69 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
69 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
2 publications
152 citations
Emirates Foundation
Abu Dhabi, United Arab Emirates
1 h-index
1 publications
305 citations
University of Reading
Reading, United Kingdom
1 h-index
1 publications
33 citations
Steklov Mathematical Institute
Moscow, Russia
1 h-index
1 publications
101 citations
Asser Institute
The Hague, The Netherlands
1 h-index
1 publications
19 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
10 citations
1–8 of 31
Repository · 2 publications · 29 citations
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BEPAM · 1 publications · 18 citations
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1 publications · 21 citations
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1 publications · 33 citations
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1 publications · 35 citations
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