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PubDate: May 2025
Teams:1 Beihang University2Hangzhou International Innovation Institute, Beihang University3School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University4School of Computer Science and Technology, Xinjiang University5TeleAI of China Telecom6GigaAI
Writers:Tianbao Zhang*1,3 Jian Zhao*5 Yuer Li1 Zheng Zhu6 Ping Hu4Zhaoxin Fan†1,2 Wenjun Wu1,2 Xuelong Li5
PDF:AsynFusion: Towards Asynchronous Latent Consistency Models for Decoupled Whole-Body Audio-Driven Avatars
Abstract
This paper presents two novel teleportation methods for VR environments that address limitations of conventional parabola-based approaches when navigating varying heights. The SphereBackcast and Penetration methods utilize straight-line specification for intuitive movement to elevated locations. Experiments with 22 participants showed our methods significantly outperformed parabola-based teleportation for height differences above 2m, while maintaining comparable performance on flat terrain. NASA-TLX and SUS evaluations confirmed improved usability and reduced cognitive load, indicating these methods can be readily integrated into existing VR applications.
