Floorplan Generation by Alternating Geometry and Semantics Optimization

dc.contributor.authorWu, Wenming
dc.contributor.authorHu, Sizhe
dc.contributor.authorLiu, Ligang
dc.contributor.authorZheng, Liping
dc.contributor.authorFu, Xiao-Ming
dc.contributor.editorMasia, Belen
dc.contributor.editorThies, Justus
dc.date.accessioned2026-04-17T12:25:06Z
dc.date.available2026-04-17T12:25:06Z
dc.date.issued2026
dc.description.abstractCreating floorplans lays the foundation for architectural design and scene modeling. We propose a novel framework for generating diverse high-quality floorplans under predefined constraints. Central to our method is an iterative refinement process for optimizing the bounding boxes of rooms and the floorplan semantics image, which defines a vector floorplan together. Vector floorplans can be generated through a learning-based refinement process. Our framework supports various constraints, such as floorplan boundaries, topological graphs, and bubble diagrams. Extensive experiments demonstrate that our method is superior to state-of-the-art techniques, particularly in generating a wider variety of solutions that cater to various architectural needs.
dc.description.number2
dc.description.sectionheadersLearning Surface and Scene Representations
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume45
dc.identifier.doi10.1111/cgf.70370
dc.identifier.issn1467-8659
dc.identifier.pages14 pages
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70370
dc.identifier.urihttps://doi.org/10.1111/cgf70370
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectComputer-aided design
dc.subjectShape modeling
dc.titleFloorplan Generation by Alternating Geometry and Semantics Optimization
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