TY - JOUR
T1 - Procedural facade variations from a single layout
AU - Bao, Fan
AU - Schwarz, Michael
AU - Wonka, Peter
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This research was partially funded by the National Science Foundation. M. Schwarz was supported in part by a DAAD postdoctoral fellowship.
PY - 2013/2/19
Y1 - 2013/2/19
N2 - We introduce a framework to generate many variations of a facade design that look similar to a given facade layout. Starting from an input image, the facade is hierarchically segmented and labeled with a collection of manual and automatic tools. The user can then model constraints that should be maintained in any variation of the input facade design. Subsequently, facade variations are generated for different facade sizes, where multiple variations can be produced for a certain size. Computing such new facade variations has many unique challenges, and we propose a new algorithm based on interleaving heuristic search and quadratic programming. In contrast to most previous work, we focus on the generation of new design variations and not on the automatic analysis of the input's structure. Adding a modeling step with the user in the loop ensures that our results routinely are of high quality. © 2013 ACM.
AB - We introduce a framework to generate many variations of a facade design that look similar to a given facade layout. Starting from an input image, the facade is hierarchically segmented and labeled with a collection of manual and automatic tools. The user can then model constraints that should be maintained in any variation of the input facade design. Subsequently, facade variations are generated for different facade sizes, where multiple variations can be produced for a certain size. Computing such new facade variations has many unique challenges, and we propose a new algorithm based on interleaving heuristic search and quadratic programming. In contrast to most previous work, we focus on the generation of new design variations and not on the automatic analysis of the input's structure. Adding a modeling step with the user in the loop ensures that our results routinely are of high quality. © 2013 ACM.
UR - http://hdl.handle.net/10754/575568
UR - https://dl.acm.org/doi/10.1145/2421636.2421644
UR - http://www.scopus.com/inward/record.url?scp=84878481143&partnerID=8YFLogxK
U2 - 10.1145/2421636.2421644
DO - 10.1145/2421636.2421644
M3 - Article
SN - 0730-0301
VL - 32
SP - 1
EP - 13
JO - ACM Transactions on Graphics
JF - ACM Transactions on Graphics
IS - 1
ER -