mlsanityData to 7 Oct 2026

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

arXiv 2408.09382 ↗First posted 18 Aug 2024cs.HC cs.AI cs.ETcited by 10

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Abstract (arXiv)

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.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 19 of its 65 references that are in the map. First posted on arXiv 18 Aug 2024.

Builds on

19 of 65 references.

References · 19

  1. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,483
  2. 2018A Survey Of Methods For Explaining Black Box Modelscited by 970
  3. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
  4. 2016Generative Adversarial Text to Image Synthesiscited by 735
  5. 2022LION: Latent Point Diffusion Models for 3D Shape Generationcited by 552
  6. 2016Semantic Scene Completion from a Single Depth Imagecited by 468
  7. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  8. 20203D-FRONT: 3D Furnished Rooms with layOuts and semaNTicscited by 375
  9. 2021ATISS: Autoregressive Transformers for Indoor Scene Synthesiscited by 195
  10. 2023DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesiscited by 159
  11. 2020SceneFormer: Indoor Scene Generation with Transformerscited by 154
  12. 2018Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Modelscited by 105
7 more
  1. 2023LEGO-Net: Learning Regular Rearrangements of Objects in Roomscited by 75
  2. 2023PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactionscited by 34
  3. 2019Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creatorscited by 31
  4. 2023Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experiencecited by 18
  5. 2021How the Design of YouTube Influences User Sense of Agencycited by 12
  6. 2021Nine Potential Pitfalls when Designing Human-AI Co-Creative Systemscited by 12
  7. 2020Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraintscited by 11

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 4; 2026: 4.

10 papers.