Scholarlink

<p>As hardware and information technology continually advance, virtual reality (VR) has permeated numerous sectors, with applications becoming increasingly sophisticated. The evolution of VR systems has expanded from the seminal 3I characteristics—immersion, interaction, and imagination—to encompass 6I, incorporating intelligentization, interconnection, and iteration. The intelligentization of VR technology, an inevitable progression, has garnered heightened interest, particularly fueled by the emergence of artificial intelligence (AI) models and techniques like neural radiance fields, 3D Gaussian Splatting, neural rendering, generative adversarial networks, diffusion models, and large language models, which significantly propel the development of VR’s core and pivotal technologies. This survey offers a comprehensive assessment of these pivotal VR technologies, harnessing the latest AI advancements, aiming to provide fresh perspectives and assist new researchers in staying abreast of groundbreaking work. We commence by detailing the acquisition process of reviewed papers, outlining our taxonomy grounded in VR’s core elements and pivotal technological trajectories, and statistically analyzing the works within. Subsequently, we delve into the application of AI models, methodologies, and techniques across six research avenues: advanced AI-generated content representation, content rendering, content generation, physical simulation, virtual characters, and interaction, discussing their achievements. Concludingly, we summarize our findings, highlight existing challenges, and suggest potential avenues for future research.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial intelligence for virtual reality: a review

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月15日

查看全文
  • Lili Wang,
  • Weiwei Xu,
  • Yebin Liu,
  • Miao Wang,
  • Beibei Wang,
  • Xubo Yang,
  • Lan Xu,
  • Zhangyao Tan,
  • Runze Fan,
  • Zijun Wang,
  • Chi Wang,
  • Hongwen Zhang,
  • Yijian Wen,
  • Haozhong Yang,
  • Jian Wu,
  • Jiahui Fan,
  • Hui Wang,
  • Qixuan Zhang,
  • Guoping Wang,
  • Yongtian Wang,
  • Qinping Zhao

摘要

As hardware and information technology continually advance, virtual reality (VR) has permeated numerous sectors, with applications becoming increasingly sophisticated. The evolution of VR systems has expanded from the seminal 3I characteristics—immersion, interaction, and imagination—to encompass 6I, incorporating intelligentization, interconnection, and iteration. The intelligentization of VR technology, an inevitable progression, has garnered heightened interest, particularly fueled by the emergence of artificial intelligence (AI) models and techniques like neural radiance fields, 3D Gaussian Splatting, neural rendering, generative adversarial networks, diffusion models, and large language models, which significantly propel the development of VR’s core and pivotal technologies. This survey offers a comprehensive assessment of these pivotal VR technologies, harnessing the latest AI advancements, aiming to provide fresh perspectives and assist new researchers in staying abreast of groundbreaking work. We commence by detailing the acquisition process of reviewed papers, outlining our taxonomy grounded in VR’s core elements and pivotal technological trajectories, and statistically analyzing the works within. Subsequently, we delve into the application of AI models, methodologies, and techniques across six research avenues: advanced AI-generated content representation, content rendering, content generation, physical simulation, virtual characters, and interaction, discussing their achievements. Concludingly, we summarize our findings, highlight existing challenges, and suggest potential avenues for future research.