VRtalk: Real-Time Interactive Intelligent Anime Avatars in Virtual Reality. Yu, Y., Xu, C., Yang, S., Cao, Y., Wang, Y., & Lee, B., G. Proceedings - 2025 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2025, IEEE, 2025.
Paper doi abstract bibtex The convergence of virtual reality live streaming and AI-driven avatars has emerged as a significant technological trend. However, current integration attempts remain in the proof-of-concept stage, with the primary challenge of automatic interaction system establishment. To build interactive intelligence anime avatars within VR frameworks, we have developed a multimodal interaction architecture centered on dialogue agents, realizing comprehensive understanding, reasoning, and response. Our approach 1).proposes high granularity explicit-implicit understanding and a dual-center switchable reasoning mechanism to support flexible responses. 2).innovates a dual-source animation mechanism for co-speech face-body visualization and a textual command module for supervising crossmodal animation, and 3).enhances expressiveness through mapping persona, content, voice, and motion to anime style. Experimental results demonstrate the state-of-the-art performance of VRtalk, highlighting its practical significance and future potential.
@article{
title = {VRtalk: Real-Time Interactive Intelligent Anime Avatars in Virtual Reality},
type = {article},
year = {2025},
keywords = {Anime Research,Avatar,Human-Computer Interaction,LLM,Live Streaming,Persona,Virtual Reality},
pages = {1191-1201},
publisher = {IEEE},
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created = {2026-06-09T08:12:19.100Z},
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abstract = {The convergence of virtual reality live streaming and AI-driven avatars has emerged as a significant technological trend. However, current integration attempts remain in the proof-of-concept stage, with the primary challenge of automatic interaction system establishment. To build interactive intelligence anime avatars within VR frameworks, we have developed a multimodal interaction architecture centered on dialogue agents, realizing comprehensive understanding, reasoning, and response. Our approach 1).proposes high granularity explicit-implicit understanding and a dual-center switchable reasoning mechanism to support flexible responses. 2).innovates a dual-source animation mechanism for co-speech face-body visualization and a textual command module for supervising crossmodal animation, and 3).enhances expressiveness through mapping persona, content, voice, and motion to anime style. Experimental results demonstrate the state-of-the-art performance of VRtalk, highlighting its practical significance and future potential.},
bibtype = {article},
author = {Yu, Yuan and Xu, Chunlei and Yang, Shirao and Cao, Yu and Wang, Yuyang and Lee, Boon Giin},
doi = {10.1109/ISMAR67309.2025.00125},
journal = {Proceedings - 2025 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2025}
}
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