Indoor rooms are among the most common use cases in 3D scene understanding.
Current state-of-the-art methods for this task are driven by large annotated
datasets. Room layouts are especially important, consisting of structural
elements in 3D, such as wall, floor, and ceiling. However, they are difficult
to annotate, especially on pure RGB video. We propose a novel method to produce
generic 3D room layouts just from 2D segmentation masks, which are easy to
annotate for humans. Based on these 2D annotations, we automatically
reconstruct 3D plane equations for the structural elements and their spatial
extent in the scene, and connect adjacent elements at the appropriate contact
edges. We annotate and publicly release 2266 3D room layouts on the
RealEstate10k dataset, containing YouTube videos. We demonstrate the high
quality of these 3D layouts annotations with extensive experiments.

通过 2D 分割遮罩提出一种新颖的方法，能够直接推导出 3D 结构元素的平面方程和空间范围，并将相邻元素在适当的接触边缘处连接，最终在 RealEstate10k 数据集上公开释放 2266 个高质量的 3D 房间布局标注。