Demonstration of MiXR: Harvesting and Recomposing Geometry from Real-World Objects for In-Situ 3D Design

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Authors: Faraz Faruqi, Demircan Tas, Arthur Caetano, Niccolo G Meniconi, O. Arslan, Misha Sra, Ruofei Du, Stefanie Mueller, Mustafa Doga Dogan
Cited by: 1
References: 19

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