MiXR enables in-situ 3D compositional modeling by harvesting real-world geometry in XR and using generative AI to synthesize coherent models from user-defined assemblies.
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The paper describes ongoing efforts to characterize developer diversity in cognition and context and to use personalization to make LLM-based conversational programming assistants more inclusive.
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MiXR: Harvesting and Recomposing Geometry from Real-World Objects for In-Situ 3D Design
MiXR enables in-situ 3D compositional modeling by harvesting real-world geometry in XR and using generative AI to synthesize coherent models from user-defined assemblies.
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Personalizing LLM-Based Conversational Programming Assistants
The paper describes ongoing efforts to characterize developer diversity in cognition and context and to use personalization to make LLM-based conversational programming assistants more inclusive.