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We present a method for automated generation of building layouts for computer graphics applications. Our approach is motivated by the layout design process developed in architecture. Given a set of high-level requirements, an architectural program is synthesized using a Bayesian network trained on real-world data. The architectural program is realized in a set of floor plans, obtained through stochastic optimization. The floor plans are used to construct a complete three-dimensional building with internal structure. We demonstrate a variety of computer-generated buildings produced by the presented approach.
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Paul Merrell
Brigham Young University
Eric Schkufza
Amazon (United States)
Vladlen Koltun
Adobe Systems (United States)
ACM Transactions on Graphics
Stanford University
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Merrell et al. (Wed,) studied this question.
synapsesocial.com/papers/6a15f8c01362a77db8e3e4eb — DOI: https://doi.org/10.1145/1882261.1866203