Demonstration of MiXR: Harvesting and Recomposing Geometry from Real-World Objects for In-Situ 3D Design
Abstract
Recent developments in 3D generative AI enable users to create bespoke 3D models from text or image prompts. However, language is often insufficient to express spatial design intent, and customization of generative output remains limited to surface appearance, making it difficult to personalize designs to the geometry and constraints of a user’s environment. Bridging this gap typically requires returning to conventional CAD tools to measure, edit, and adapt geometry, tasks that remain time-consuming and error-prone.
Fields of Study & Subjects
3D Shape Modeling and Analysis
Interactive and Immersive Displays
Manufacturing Process and Optimization
Publication details
- Journal / source
- Companion Publication of the 2026 ACM Designing Interactive Systems Conference
- Publisher
- ACM
- Pages
- 613–617
- Publication date
- 12 June 2026
- Language
- EN