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Open Access

Artificial Intelligence for Metaverse: A Framework

Yuchen Guo1Tao Yu1Jiamin Wu1,2Yuwang Wang1Sen Wan1,2Jiyuan Zheng1Lu Fang1,3( )Qionghai Dai1,2( )
Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
Department of Automation, Tsinghua University, Beijing 100084, China
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
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Abstract

The metaverse is attracting considerable attention recently. It aims to build a virtual environment that people can interact with the world and cooperate with each other. In this survey paper, we re-introduce metaverse in a new framework based on a broad range of technologies, including perception which enables us to precisely capture the characteristics of the real world, computation which supports the large computation requirement over large-scale data, reconstruction which builds the virtual world from the real one, cooperation which facilitates long-distance communication and teamwork between users, and interaction which bridges users and the virtual world. Despite its popularity, the fundamental techniques in this framework are still immature. Innovating new techniques to facilitate the applications of metaverse is necessary. In recent years, artificial intelligence (AI), especially deep learning, has shown promising results for empowering various areas, from science to industry. It is reasonable to imagine how we can combine AI with the framework in order to promote the development of metaverse. In this survey, we present the recent achievement by AI for metaverse in the proposed framework, including perception, computation, reconstruction, cooperation, and interaction. We also discuss some future works that AI can contribute to metaverse.

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CAAI Artificial Intelligence Research
Pages 54-67

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Cite this article:
Guo Y, Yu T, Wu J, et al. Artificial Intelligence for Metaverse: A Framework. CAAI Artificial Intelligence Research, 2022, 1(1): 54-67. https://doi.org/10.26599/AIR.2022.9150004

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Received: 20 January 2022
Revised: 21 July 2022
Accepted: 05 August 2022
Published: 28 August 2022
© The author(s) 2022

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).