Generative AI for Accessible and Inclusive Extended Reality
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Abstract (arXiv)
Artificial Intelligence-Generated Content (AIGC) has the potential to transform how people build and interact with virtual environments. Within this paper, we discuss potential benefits but also challenges that AIGC has for the creation of inclusive and accessible virtual environments. Specifically, we touch upon the decreased need for 3D modeling expertise, benefits of symbolic-only as well as multimodal input, 3D content editing, and 3D model accessibility as well as foundation model-specific challenges.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 25 of its 36 references that are in the map. First posted on arXiv 31 Oct 2024.
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25 of 36 references.
References · 25
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
- 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,592
- 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,742
- 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,290
- 2021Ethical and social risks of harm from Language Modelscited by 966
- 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 774
- 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusioncited by 689
- 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 560
- 2023Instruct-NeRF2NeRF: Editing 3D Scenes with Instructionscited by 484
- 2023A Survey of Hallucination in Large Foundation Modelscited by 368
- 2022Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scalecited by 262
13 more
- 20233D-GPT: Procedural 3D Modeling with Large Language Modelscited by 95
- 2024Large Language Models are Geographically Biasedcited by 93
- 2024TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Promptscited by 77
- 2024ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fieldscited by 68
- 2023Generative AI meets 3D: A Survey on Text-to-3D in AIGC Eracited by 61
- 2022Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Modelscited by 57
- 2023VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encodercited by 39
- 2023HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimationcited by 27
- 2023AI-Generated Content (AIGC) for Various Data Modalities: A Surveycited by 25
- 20233D-Aware Visual Question Answering about Parts, Poses and Occlusionscited by 16
- 2023Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Modelscited by 7
- 2023Beyond Reality: The Pivotal Role of Generative AI in the Metaversecited by 5
- 2020Exploration of Hands-free Text Entry Techniques For Virtual Realitycited by 4
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