@inproceedings{f078a8707c494c2a92ea9b6defd7f591,
title = "Anywhere Avatar: 3D Telepresence with Just a Phone and a Laptop",
abstract = "We present Anywhere Avatar, a telepresence system that enables full-body and facial avatar reconstruction using a smartphone and a laptop. Users record short videos to generate personalized avatars, which are animated in real time during teleconferencing using webcam-based tracking. Built on pre-trained FLAME and SMPL models, the avatars are rendered in high fidelity using Gaussian splatting. The system runs at near real-time with minimal bandwidth, making expressive 3D telepresence accessible without specialized hardware.",
keywords = "augmented reality, gaussian splatting, machine learning, telepresence",
author = "Ruifan Ji and Mingyuan Wu and Bo Chen and Michael Zink and Sitaraman, \{Ramesh K.\} and Jacob Chakareski and Klara Nahrstedt",
note = "Publisher Copyright: {\textcopyright} 2025 Owner/Author.; 33rd ACM International Conference on Multimedia, MM 2025 ; Conference date: 27-10-2025 Through 31-10-2025",
year = "2025",
month = oct,
day = "27",
doi = "10.1145/3746027.3754482",
language = "English (US)",
series = "MM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025",
publisher = "Association for Computing Machinery, Inc",
pages = "13537--13539",
booktitle = "MM 2025 - Proceedings of the 33rd ACM International Conference on Multimedia, Co-Located with MM 2025",
}