TY - JOUR
T1 - Guest Editorial
T2 - Mobile AI-Generated Content (AIGC) in 6G Era
AU - Zhou, Haibo
AU - Dai, Hong Ning
AU - Cheng, Xiang
AU - Nguyen, Diep N.
AU - Tabassum, Hina
PY - 2024/8
Y1 - 2024/8
N2 - 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.
AB - 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.
UR - https://ieeexplore.ieee.org/document/10628029/keywords#keywords
UR - http://www.scopus.com/inward/record.url?scp=85201158544&partnerID=8YFLogxK
U2 - 10.1109/MWC.2024.10628029
DO - 10.1109/MWC.2024.10628029
M3 - Editorial
AN - SCOPUS:85201158544
SN - 1536-1284
VL - 31
SP - 12
EP - 13
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 4
ER -