**摘要**
Connector-based video unified models have demonstrated strong capability in instruction-grounded video synthesis, but integrating a large high-fidelity generator into the unified training loop is computationally prohibitive, limiting achievable visual quality. We therefore propose Lumos-Nexus, a training-efficient unified video generation framework that facilitates the development of strong reason
👤 作者: Jiazheng Xing, Hangjie Yuan, Lingling Cai, Xinyu Liu, Yujie Wei, Fei Du, Hai Ci, Tao Feng, Jiasheng Tang, Weihua Chen, Fan Wang, Yong Liu

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🔗 **[Lumos-Nexus ：视频统一模型的高效频率桥接和均匀潜伏空间](https://arxiv.org/abs/2605.31603v1)**

> Lumos-Nexus: Efficient Frequency Bridging with Homogeneous Latent Space for Video Unified Models
🏷️ 来源: ArXiv cs.AI
⏱️ 2026-06-01 14:00