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English(EN) CapFrame: Text-Instructed Viewpoint Grounding in 3D Gaussian Scenes via Geometric Pseudo Labels

新框架CapFrame可在3D场景中实现文本指令视角对齐

研究人员提出了CapFrame,一个旨在解决在3D高斯场景中手动放置虚拟相机以获得特定视角的新框架。这项名为文本指令视角对齐(TIVG)的新任务,旨在自动识别一个符合所需场景视角文本描述的6-DoF相机位姿。CapFrame采用检索-翻译-精炼(Retrieve-Translate-Refine)流水线,利用多模态大语言模型(MLLMs)将语言指令转换为几何伪标签,以优化3D高斯泼溅(Gaussian Splatting)环境中的相机方向和布局。 AI

影响 这项研究通过自动化相机放置,可能简化3D内容的创建,对虚拟现实、游戏开发和建筑可视化产生影响。

排序理由 该集群包含一篇详细介绍计算机视觉新方法和新任务的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新框架CapFrame可在3D场景中实现文本指令视角对齐

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该集群包含一篇详细介绍计算机视觉新方法和新任务的学术论文。[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) · Jirong Li, Satoshi Ikehata, Shuhei Kurita, Ikuro Sato ·

    CapFrame:通过几何伪标签在3D高斯场景中进行文本指令式视角对齐

    arXiv:2608.30342v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) enables photorealistic real-time novel view synthesis, yet placing a virtual camera to capture a desired frame remains largely manual. Existing language-guided approaches in 3D scenes mainly focus on obj…