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English(EN) JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications

新的JSCGC范式使用生成模型增强无线通信

研究人员引入了联合信源-信道-生成编码(JSCGC),这是一种利用接收端生成模型的新型通信范式。该方法超越了传统的率失真理论,将通信重新定义为受控生成,旨在在感知约束下最大化互信息,而不是仅仅最小化失真。实验表明,JSCGC在图像传输中提高了基于特征、语义和分布的质量,并表现出语义不一致作为一种独特的错误特征。 AI

影响 引入了一种新的生成通信范式,有望提高数据传输的质量和效率。

排序理由 这是一篇描述新技术的 ist 研究论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Tong Wu, Zhiyong Chen, Guo Lu, Li Song, Feng Yang, Meixia Tao, Wenjun Zhang ·

    JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications

    arXiv:2606.12858v1 Announce Type: cross Abstract: Conventional communication systems, including both separation-based coding and learning-based joint source-channel coding (JSCC), are typically designed under Shannon's rate-distortion theory. However, relying on generic distortio…

  2. arXiv cs.CV TIER_1 English(EN) · Wenjun Zhang ·

    JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications

    Conventional communication systems, including both separation-based coding and learning-based joint source-channel coding (JSCC), are typically designed under Shannon's rate-distortion theory. However, relying on generic distortion metrics fails to capture complex human visual pe…