Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the deployment of AIGC applications, e.g., ChatGPT and Dall-E, at mobile edge networks, namely mobile AIGC networks, that provide personalized and customized AIGC services in real time while maintaining user privacy. We begin by introducing the background and fundamentals of generative models and the lifecycle of AIGC services at mobile AIGC networks, which includes data collection, training, finetuning, inference, and product management. We then discuss the collaborative cloud-edge-mobile infrastructure and technologies required to support AIGC services and enable users to access AIGC at mobile edge networks. Furthermore, we explore AIGCdriven creative applications and use cases for mobile AIGC networks. Additionally, we discuss the implementation, security, and privacy challenges of deploying mobile AIGC networks. Finally, we highlight some future research directions and open issues for the full realization of mobile AIGC networks.

翻译：人工智能生成内容（AIGC）是一种利用AI算法以创造性方式自动生成、操控和修改有价值且多样化数据的方法。本综述聚焦于AIGC应用（例如ChatGPT和Dall-E）在移动边缘网络中的部署，即移动AIGC网络，它能够在实时提供个性化与定制化AIGC服务的同时维护用户隐私。我们首先介绍生成模型的背景与基本原理，以及移动AIGC网络中AIGC服务的生命周期，包括数据收集、训练、微调、推理与产品管理。随后，我们讨论支持AIGC服务并使用户能够在移动边缘网络访问AIGC所需的协作式云-边缘-移动基础设施与技术。进而，我们探索由AIGC驱动的移动AIGC网络创意应用与用例。此外，我们探讨了部署移动AIGC网络时所面临的实现、安全与隐私挑战。最后，我们指出移动AIGC网络全面实现过程中的一些未来研究方向与开放性问题。