迈向生成式视频通信：一种双流数字传输框架
Toward Generative Video Communication: A Dual-Stream Digital Transmission Framework
- Shanghai Jiao Tong University（上海交通大学）
- Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳））
- Queen’s University Belfast（贝尔法斯特女王大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出双流数字生成式视频通信框架，融合传统与生成链路，实现带宽受限下的个性化内容交付，并验证其质量优势。
AI中文摘要：
生成式视频通信在带宽受限的无线传输中展现出前景，并有可能支持个性化内容交付。在本文中，我们提出了一种双流数字生成式视频通信（DGVC）框架，该框架将传统数字链路与生成式链路相结合。传统链路提供基于信源的视觉参考，而生成式链路则传递紧凑的语义和感知信息，用于接收端生成。我们进一步讨论了三种带宽相关的运行模式，以及用于双流协调、同步、可靠性和延迟控制的关键技术。一项实际案例研究展示了DGVC在无线衰落信道下的感知和时间质量优势。最后，我们讨论了生成式视频通信的开放挑战和未来研究方向。
英文摘要：
Generative video communication has shown promise for bandwidth-constrained wireless transmission and has the potential to support personalized content delivery. In this article, we propose a dual-stream digital generative video communication (DGVC) framework that integrates a traditional digital link with a generative link. The traditional link provides source-grounded visual references, while the generative link conveys compact semantic and perceptual information for receiver-side generation. We further discuss three bandwidth-dependent operating regimes and key technologies for dual-stream coordination, synchronization, reliability, and latency control. A practical case study demonstrates the perceptual and temporal-quality benefits of DGVC under wireless fading channels. Finally, we discuss open challenges and future research directions for generative video communication.
