KAUST DepartmentVisual Computing Center (VCC)
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AbstractWe present a system for automatically synthesizing a diverse set of semantically valid, and well-arranged 3D interior scenes for a given empty room shape. Unlike existing work on layout synthesis, that typically knows potentially needed 3D models and optimizes their location through cost functions, our technique performs the retrieval and placement of 3D models by discovering the relationships between the room space and the models' categories. This is enabled by a new analytical structure, called Wall Grid Structure, which jointly considers the categories and locations of 3D models. Our technique greatly reduces the amount of user intervention and provides users with suggestions and inspirations. We demonstrate the applicability of our approach on three types of scenarios: conference rooms, living rooms and bedrooms.
SponsorsThis work was supported by the National Basic Research Program of China (2010CB328001), the National Science Foundation of China (61373071, 61372168), and the KAUST Visual Computing Center.
JournalComputers & Graphics