A Unified Framework for Integrating Semantic Communication and AI-Generated Content in Metaverse
Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Jiawen Kang, Abbas, Jamalipour, Xuemin Sherman Shen

TL;DR
This paper proposes a unified framework for combining semantic communication and AI-generated content to enhance resource efficiency and content quality in the Metaverse, supported by a case study and analysis.
Contribution
It introduces a comprehensive framework for integrating semantic communication with AI content generation, classifies existing solutions, and provides a case study on resource optimization.
Findings
Unified framework improves resource allocation and content quality.
Case study demonstrates optimal strategy for semantic extraction and rendering.
Analysis highlights key components and open research issues.
Abstract
As the Metaverse continues to grow, the need for efficient communication and intelligent content generation becomes increasingly important. Semantic communication focuses on conveying meaning and understanding from user inputs, while AI-Generated Content utilizes artificial intelligence to create digital content and experiences. Integrated Semantic Communication and AI-Generated Content (ISGC) has attracted a lot of attentions recently, which transfers semantic information from user inputs, generates digital content, and renders graphics for Metaverse. In this paper, we introduce a unified framework that captures ISGC two primary benefits, including integration gain for optimized resource allocation and coordination gain for goal-oriented high-quality content generation to improve immersion from both communication and content perspectives. We also classify existing ISGC solutions,…
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Taxonomy
TopicsGenerative Adversarial Networks and Image Synthesis · Computational and Text Analysis Methods · Image Retrieval and Classification Techniques
