AI Level of Detail: Distance-Aware ML Model Precision Selection for Real-Time Human Motion Prediction in Games
Abstract
Modern game engines spend significant compute animating NPCs with learned motion models. This paper proposes AI Level of Detail (AI LOD), a framework in which machine learning inference precision is adapted based on the distance between each NPC and the player camera. The core idea mirrors classical geometry LOD [Clark 1976; Garland and Heckbert 1997]: substitute a cheaper approximation where the difference is imperceptible. Here, the approximation is a lower-precision quantized machine learning model rather than a lower-polygon mesh.
Fields of Study & Subjects
Human Motion and Animation
Artificial Intelligence in Games
Human Pose and Action Recognition
Publication details
- Journal / source
- Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Technical Workshops
- Publisher
- ACM
- Pages
- 1–4
- Publication date
- 3 July 2026