Project Shenlong

Shenlong Details

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Shenlong Details

Company: ORamaVR
Categories: Generative AI, Spatial Computing, Large Language Models
Main technologies: Python, ChatGPT API, Geometric Algebra, USD (Universal Scene Description)

Summary

Designing virtual environments manually is a highly time-consuming process. Shenlong addresses this by functioning as an AI-powered 3D scene generator that blends Large Language Models with spatial mathematics.

Starting with a database of individual 3D assets (e.g., TVs, couches, tables), users can simply ask the assistant to "create a living room." The system queries the ChatGPT API to determine the logical objects required for the scene. It then retrieves those assets and applies Geometric Algebra to calculate realistic spatial placements and orientations in a 3D coordinate system.

The tool also supports iterative, natural language edits, allowing users to intuitively refine the space (e.g., "move the couch closer to the wall"). The final generated environments are exported in the industry-standard .usd file format, ready to be dropped seamlessly into game engines like Unity.