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English(EN) Encore: Infinite Audio-Video Generation with Adaptive Signal Routing

Encore系统可实现无限同步音视频生成

研究人员推出了一种新颖的同步长格式音视频内容生成系统Encore。与先前受时长限制或缺乏音频的生成方法不同,Encore解决了在长序列中保持时间连贯性和跨模态同步的挑战。该系统利用自适应信号路由(ASR)动态调整各种条件信号的影响,通过在推理过程中以真实模态为条件来实现无限长度的合成。在VerseBench基准上的实验表明,Encore在音视频生成的质量和时间连贯性方面均显著优于现有方法。 AI

影响 为长格式、同步多媒体内容的创作和分析带来了新的可能性。

排序理由 该集群包含一篇详细介绍音频-视频生成新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Encore系统可实现无限同步音视频生成

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该集群包含一篇详细介绍音频-视频生成新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Shaohua Pan, Junbao Chen, Shengyi He, Jingfeng Xue, Wen Tao, Haocheng Feng, Siming Fan, Dongwei Pan, Yi Yang, Wei He, Hang Zhou ·

    Encore:具有自适应信号路由的无限音频视频生成

    arXiv:2609.04249v1 Announce Type: cross Abstract: Existing audio-video generation methods produce well-synchronized clips but are limited to short durations, while long-video generation methods extend duration through chunk-based iterative synthesis yet lack audio entirely. Gener…