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ToolsLower, T. and Anderson, E. F., 2026. Semantic weaponry: A modular approach to text-to-3D model generation. In: Eurographics 2026, 4-8 May 2026, Aachen, Germany.
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Official URL: https://eg2026.github.io/
DOI: 10.2312/egp.20261006
Abstract
We present a modular approach to AI-assisted Text-to-3D content generation that takes a semantic description of a 3D model, leveraging the semantic capabilities of Large Language Models to create a set of parameters which are then fed into an implicit surface function. The resulting geometry can be remeshed for use in 3D Digital Content Creation applications.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| ISSN: | 1017-4656 |
| Group: | Faculty of Media, Science and Technology |
| ID Code: | 41955 |
| Deposited By: | Symplectic RT2 |
| Deposited On: | 06 May 2026 11:05 |
| Last Modified: | 06 May 2026 11:05 |
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