“Foliager: Procedural Forest Generation From Natural Language Using Scientific Data and AI” by Todd and Bailey
Conference:
Type(s):
Title:
- Foliager: Procedural Forest Generation From Natural Language Using Scientific Data and AI
Session/Category Title:
- Art & Design
Presenter(s)/Author(s):
Abstract:
Foliager is a generative AI-powered pipeline that transforms natural language into biologically plausible 3D forest ecosystems, combining ecological simulation with procedural graphics to support scientific visualization, storytelling, and environmental design.
References:
[1] Blender Foundation. 2024. Blender 4.2 – Free and Open 3D Creation Software. https://www.blender.org/. Accessed: 2025-06-17.
[2] J. J. Landsberg and R. H. Waring. 1997. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecology and Management 95, 3 (1997), 209–228.
[3] OpenAI. 2024. ChatGPT (April 2024 version). https://chat.openai.com. Accessed: 2025-06-17.
ACM Digital Library Publication:
Overview Page:
Submit a story:
If you would like to submit a story about this presentation, please contact us: historyarchives@siggraph.org
