研究人员开发了 Hydra++，一个用于实时构建分层三维场景图的新系统。该系统通过集成基于学习的估计器来增强物体级形状估计，改进了依赖粗糙几何或通用模板的现有方法。Hydra++ 包含拒绝不准确预测的机制，并可与混合激光雷达-相机配置配合用于大规模室外环境，在模拟和真实场景中均展示了重建质量的提升。 AI
影响 增强了机器人和增强现实应用中的实时三维场景理解和重建能力。
排序理由 该集群包含一篇详细介绍新的三维场景图构建系统的研究论文。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
arXiv:2607.10879v1 Announce Type: cross Abstract: Generating realistic 3D indoor scenes is an area of growing interest in computer vision and robotics. Existing methods, often motivated by applications such as interior design, generally focus on object layout generation within a …
arXiv:2607.09455v1 Announce Type: new Abstract: 3D scene graphs provide a hierarchical abstraction of environments by encoding spatial entities, such as objects and places, and their relationships. However, existing scene graph systems model object geometry coarsely, relying on p…
3D scene graphs provide a hierarchical abstraction of environments by encoding spatial entities, such as objects and places, and their relationships. However, existing scene graph systems model object geometry coarsely, relying on partial point clouds or class-level CAD templates…