VRCopilot: Authoring 3D Layouts with Generative AI Models in VR

Fuente: arXiv
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Autori principali: Zhang, Lei, Pan, Jin, Gettig, Jacob, Oney, Steve, Guo, Anhong
Natura: Preprint
Pubblicazione: 2024
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author Zhang, Lei
Pan, Jin
Gettig, Jacob
Oney, Steve
Guo, Anhong
author_facet Zhang, Lei
Pan, Jin
Gettig, Jacob
Oney, Steve
Guo, Anhong
contents Immersive authoring provides an intuitive medium for users to create 3D scenes via direct manipulation in Virtual Reality (VR). Recent advances in generative AI have enabled the automatic creation of realistic 3D layouts. However, it is unclear how capabilities of generative AI can be used in immersive authoring to support fluid interactions, user agency, and creativity. We introduce VRCopilot, a mixed-initiative system that integrates pre-trained generative AI models into immersive authoring to facilitate human-AI co-creation in VR. VRCopilot presents multimodal interactions to support rapid prototyping and iterations with AI, and intermediate representations such as wireframes to augment user controllability over the created content. Through a series of user studies, we evaluated the potential and challenges in manual, scaffolded, and automatic creation in immersive authoring. We found that scaffolded creation using wireframes enhanced the user agency compared to automatic creation. We also found that manual creation via multimodal specification offers the highest sense of creativity and agency.
format Preprint
id arxiv_https___arxiv_org_abs_2408_09382
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle VRCopilot: Authoring 3D Layouts with Generative AI Models in VR
Zhang, Lei
Pan, Jin
Gettig, Jacob
Oney, Steve
Guo, Anhong
Human-Computer Interaction
Artificial Intelligence
Emerging Technologies
Immersive authoring provides an intuitive medium for users to create 3D scenes via direct manipulation in Virtual Reality (VR). Recent advances in generative AI have enabled the automatic creation of realistic 3D layouts. However, it is unclear how capabilities of generative AI can be used in immersive authoring to support fluid interactions, user agency, and creativity. We introduce VRCopilot, a mixed-initiative system that integrates pre-trained generative AI models into immersive authoring to facilitate human-AI co-creation in VR. VRCopilot presents multimodal interactions to support rapid prototyping and iterations with AI, and intermediate representations such as wireframes to augment user controllability over the created content. Through a series of user studies, we evaluated the potential and challenges in manual, scaffolded, and automatic creation in immersive authoring. We found that scaffolded creation using wireframes enhanced the user agency compared to automatic creation. We also found that manual creation via multimodal specification offers the highest sense of creativity and agency.
title VRCopilot: Authoring 3D Layouts with Generative AI Models in VR
topic Human-Computer Interaction
Artificial Intelligence
Emerging Technologies
url https://arxiv.org/abs/2408.09382