English(EN) LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows

新的LynnReal-Omni框架支持代理的多模态视频生成

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 04:00

研究人员推出LynnReal-Omni，一个专为代理视觉工作流设计的新型多模态视频生成框架。该系统利用一个32B的共享多模态扩散 transformer 来统一各种视频生成任务，包括文本到视频、图像条件生成和长视频生成，接受3D渲染和游戏录制等多样化的视觉输入。还开发了一个更快的版本LynnReal-Omni-Flash，用于实时渲染，在NVIDIA H100上不到一秒即可生成22帧540p视频。该框架得到了全面的数据管道和新的评估设计MSAVP的支持，以评估多维度的视频生成质量。 AI

影响为AI代理实现更可控、更高保真度的视频生成，可能加速视觉内容的创作。

排序理由详细介绍新型多模态视频生成框架的研究论文。[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 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Xiaofeng Mao, Peijia Lin, Shaohao Rui, Yibo Zhang, Haibin Wan, Weijie Ma · 2026-09-15 04:00

LynnReal-Omni：面向Agentic视觉工作流的原生多模态视频生成

arXiv:2609.15863v1 Announce Type: new Abstract: Video diffusion models are stochastic and hard to control: precise content often requires repeated sampling without guaranteed success, and long-horizon scenes drift in appearance, interactions, and temporal coherence. Agentic visua…

本文如何被排名

报道来源 [1]

LynnReal-Omni：面向Agentic视觉工作流的原生多模态视频生成

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