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English(EN) Joint Semantic-Channel Coding and Modulation for Generative Image Transmission

SemQAM通过联合编码和调制推动生成图像传输发展

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了SemQAM，这是一种新颖的联合语义-信道编码和调制方案，旨在改进生成图像传输。与传统分别优化这些组件的方法不同，SemQAM将它们集成起来，使源表示能够更好地适应信道损伤。该系统使用矢量量化并将索引映射到QAM符号，更新码字以直接解决信道效应并减少自回归编码中的错误传播。实验表明，SemQAM-C在图像质量指标上优于OneDC等现有方法，同时保持了有竞争力的源编码能力，而SemQAM本身与分离方法相比，信道使用量减少了18%以上。 AI

影响 提高了AI模型生成图像传输的效率和质量。

排序理由 该集群包含两篇arXiv预印本，详细介绍了一种新的图像传输技术方法。

在 Hugging Face Daily Papers 阅读 →

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

SemQAM通过联合编码和调制推动生成图像传输发展

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该集群包含两篇arXiv预印本，详细介绍了一种新的图像传输技术方法。
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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    生成式图像传输的联合语义-信道编码与调制

    Digital image transmission typically optimizes source coding, channel coding, and modulation separately, limiting how source representations adapt to channel impairments. We propose SemQAM, a joint semantic-channel coding and modulation scheme for generative image transmission co…

  2. arXiv cs.CV TIER_1 English(EN) · Hao Cao, Jingkai Ying, Yinhuan Huang, Zhijin Qin, Yuan Shen ·

    生成图像传输的联合语义-信道编码与调制

    arXiv:2610.29643v1 Announce Type: new Abstract: Digital image transmission typically optimizes source coding, channel coding, and modulation separately, limiting how source representations adapt to channel impairments. We propose SemQAM, a joint semantic-channel coding and modula…

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