Guest Editorial: Mobile AI-Generated Content (AIGC) in 6G Era

被引:0
|
作者
Zhou, Haibo [1 ]
Dai, Hong-Ning [2 ]
Cheng, Xiang [3 ]
Nguyen, Diep N. [4 ]
Tabassum, Hina [5 ]
机构
[1] Nanjing Univ, Sch Elect Sci & Engn, Nanjing, Peoples R China
[2] Hong Kong Baptist Univ, Dept Comp Sci, Hong Kong, Peoples R China
[3] Peking Univ, Beijing, Peoples R China
[4] Univ Technol Sydney UTS, Fac Engn & Informat Technol, Sydney, Australia
[5] York Univ, Lassonde Sch Engn, Toronto, ON, Canada
基金
澳大利亚研究理事会; 美国国家科学基金会;
关键词
6G mobile communication; Three-dimensional displays; Generative AI; Wireless networks; Generative adversarial networks; Transformers; Diffusion models;
D O I
10.1109/MWC.2024.10628029
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile artificial intelligence-generated content (AIGC) is an emerging methodology for the generation, manipulation, and modification of mobile data, utilizing generative artificial intelligence (GAI) to accomplish a wide variety of computation and communication-oriented tasks for sixth-generation wireless networks (6G). Compared with traditional discriminative artificial intelligence (AI) technologies, AIGC leverages state-of-the-art GAI algorithms, e.g., generative adversarial network (GAN), variational autoencoder (VAE), Transformer, and diffusion model, to provide generation capability for 6G personalized services. The rapid development of mobile AIGC has received a lot of attention recently, aiming at building versatile content generation systems, ranging from inquiries and answers, such as ChatGPT, to creative tasks like realistic image and 3D object generation by DALL-E and Point-E.
引用
收藏
页码:12 / 13
页数:2
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