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dc.contributor.authorXu, Wenzhuo
dc.contributor.authorWang, Bin
dc.contributor.authorYan, Dongming
dc.date.accessioned2015-08-03T12:29:00Z
dc.date.available2015-08-03T12:29:00Z
dc.date.issued2015-02
dc.identifier.issn00978493
dc.identifier.doi10.1016/j.cag.2014.09.032
dc.identifier.urihttp://hdl.handle.net/10754/564028
dc.description.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.
dc.description.sponsorshipThis 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.
dc.publisherElsevier BV
dc.subjectFront extraction
dc.subjectInterior scene synthesis
dc.subjectWall grid structure
dc.titleWall grid structure for interior scene synthesis
dc.typeArticle
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalComputers & Graphics
dc.contributor.institutionSchool of Software, Tsinghua UniversityBeijing, China
dc.contributor.institutionTsinghua National Laboratory for Information Science and TechnologyBeijing, China
dc.contributor.institutionNLPR-LIAMA, Institute of Automation, Chinese Academy of SciencesBeijing, China
kaust.personYan, Dongming
kaust.acknowledged.supportUnitVisual Computing Center


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