SpatialPrompt: XR-Based Spatial Intent Expression as Executable Constraints for AI Generative 3D Design
Yichen Andy Yu, Wanru Li, Qiaoran Wang, Jymon Ross, Gavin Johnson, Mandy Lui, and Qiao Jin

TL;DR
SpatialPrompt is an XR system enabling users to sketch and voice-annotate spatial constraints for controllable 3D AI generation, supporting collaborative iterative design.
Contribution
It introduces a novel XR-based interface combining spatial sketches and voice prompts to control 3D generative models in a shared environment.
Findings
System is intuitive and supports shared understanding in collaborative creation.
Evaluation reveals the need for faster generation and clearer feedback.
Supports iterative refinement and synchronous co-creation.
Abstract
We present SpatialPrompt, an Extended Reality(XR) system that turns spatial sketches into executable constraints for controllable 3D generation. Users draw rough structures with a 3D pen and add voice prompts for semantic and stylistic intent. The system supports iterative refinement and synchronous co-creation in shared space with color-coded contributions. Implemented on Apple Vision Pro with Logitech Muse and Meshy, a heuristic evaluation suggests that the workflow is intuitive and supports shared understanding in collaborative creation, while revealing needs for faster generation and clearer feedback.
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