研究人员开发了HomeWorld，一个用于生成逼真且交互式全屋场景的新颖框架。该系统利用在30万个户型图上训练的大型语言模型来创建多样化的布局，然后使用图像生成模型进行家具放置。基于VLM的精炼器和3D生成模型进一步增强了物体放置和资产替换，为具身AI模拟和室内设计应用准备场景。该项目还将发布一个户型图数据集和5000个带家具的场景。 AI
影响 为具身AI提供更逼真的模拟，并辅助室内设计。
排序理由 详细介绍新场景生成框架的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
Indoor scene generation is crucial for robot simulation and modern interior design. However, complex layouts together with scarce 3D scene data make learning-based generation challenging. Existing methods often rely on hand-crafted rules or focus on isolated sub-tasks (e.g., floo…
arXiv:2606.06390v1 Announce Type: new Abstract: Indoor scene generation is crucial for robot simulation and modern interior design. However, complex layouts together with scarce 3D scene data make learning-based generation challenging. Existing methods often rely on hand-crafted …