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English(EN) Seeing and Imagining as One: Unified Video Generation and 4D Perception for Embodied World Modeling

GenSight模型统一视频生成与4D感知

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出GenSight，一种新颖的具身世界模型，在一个单一的扩散Transformer架构中统一了视频生成和密集感知。该模型利用共享的时空表示来处理视频、深度和语义分割等多种模态，所有这些都进行了联合优化。GenSight可以生成具有对齐预测的未来视频序列，或从观察到的视频中进行密集感知，展示了改进的跨模态一致性，并利用视频生成中学到的先验知识来执行感知任务。 AI

影响 这项研究可能带来更集成的人工智能系统，能够预测未来事件并理解世界的当前状态。

排序理由 该集群包含一篇详细介绍新模型架构及其性能的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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GenSight模型统一视频生成与4D感知

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该集群包含一篇详细介绍新模型架构及其性能的学术论文。[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) · Haitang Feng, Zhuoman Liu, Zhennan Wang, Sheng Wang, Juelin Li, Chengzhi Zhao, Hexiang Wei, Lin Shao ·

    Seeing and Imagining as One: Unified Video Generation and 4D Perception for Embodied World Modeling

    arXiv:2610.39232v2 Announce Type: replace Abstract: Embodied world models should not only imagine plausible futures, but also perceive the geometric, semantic, and motion structure of the evolving world. We present GenSight, a unified embodied world model that brings future video…

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