室内场景生成算法综述

室内场景生成任务是近年来热门的研究课题.它不仅能为计算机视觉任务提供天然带有标注的室内场景数据集,帮助其更好地理解场景,还能应用到诸多现实场景中,如机器人导航等.室内场景布局的多样性使得场景生成成为一项非常具有挑战性的任务.该文梳理了近年来在室内场景生成算法领域中的研究进展,从场景输入、场景上下文关系、场景表达方式、场...

A Survey of Indoor Scene Generation Algorithms

The indoor scene generation task is an important research topic in recent years. It can not only provide a natural annotated indoor scene dataset for computer vision tasks to help better understand the scene, but also can be applied to many real scenes such as robot navigation. The diversity of indoor scene layouts makes scene generation a very challenging task. This paper reviews the recent research progress in the field of indoor scene generation, summarizes and classifies the generation algorithms in terms of scene input, scene generation method, scene representation, scene generation order, and scene context relationship. The three categories of the generation algorithms including sample-free generation method based on object relationship, sample-free generation method based on human activities, and sample-based object relationship based on object relationship are analyzed with advantages and disadvantages. In addition, this article also summarizes the limitations of the existing algorithms and points out the direction that can be explored in the field of indoor scene generation in the future.