Floorplan Generation by Alternating Geometry and Semantics Optimization
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Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Creating 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.
Description
@article{10.1111:cgf.70370,
journal = {Computer Graphics Forum},
title = {{Floorplan Generation by Alternating Geometry and Semantics Optimization}},
author = {Wu, Wenming and Hu, Sizhe and Liu, Ligang and Zheng, Liping and Fu, Xiao-Ming},
year = {2026},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.70370}
}