Abstract
Despite advances in indoor 3D scene layout generation, synthesizing scenes with dense object arrangements remains challenging. Existing methods primarily focus on large furniture while neglecting smaller objects, resulting in unrealistically empty scenes. Those that place small objects typically do not honor arrangement specifications, resulting in largely random placement not following the text description. We present HSM, a hierarchical framework for indoor scene generation with dense object arrangements across spatial scales. Indoor scenes are inherently hierarchical, with surfaces supporting objects at different scales, from large furniture on floors to smaller objects on tables and shelves. HSM embraces this hierarchy and exploits recurring cross-scale spatial patterns to generate complex and realistic indoor scenes in a unified manner. Our experiments show that HSM outperforms existing methods by generating scenes that are more realistic and better conform to user input across room types and spatial configurations.
Abstract (translated)
尽管在室内三维场景布局生成方面已经取得了进展，但合成包含密集物体排列的场景仍然具有挑战性。现有方法主要关注大型家具而忽视了较小的物品，导致生成的场景显得过于空旷。那些放置小物件的方法通常不遵循具体的排列规范，导致位置分布很大程度上是随机的，并不符合文本描述的要求。我们提出了HSM（分层框架），用于在不同空间尺度下生成包含密集物体布置的室内场景。室内场景本质上具有层次性，从地面上的大件家具到桌面上或架子上的小型物品，在不同的尺度上都有支持其摆放的表面。HSM采纳了这种层级结构，并利用重复出现的空间规模间的模式来统一生成复杂且真实的室内场景。实验结果表明，与现有方法相比，HSM在不同房间类型和空间配置下能生成更逼真、更能符合用户输入要求的场景。
URL
https://arxiv.org/abs/2503.16848
