Inverse procedural modeling of facade layouts

Feng Wu; Dongming Yan; Weiming Dong; Xiaopeng Zhang; Peter Wonka

doi:10.1145/2601097.2601162

Inverse procedural modeling of facade layouts

Feng Wu, Dongming Yan, Weiming Dong, Xiaopeng Zhang, Peter Wonka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

63 Scopus citations

Abstract

In this paper, we address the following research problem: How can we generate a meaningful split grammar that explains a given facade layout? To evaluate if a grammar is meaningful, we propose a cost function based on the description length and minimize this cost using an approximate dynamic programming framework. Our evaluation indicates that our framework extracts meaningful split grammars that are competitive with those of expert users, while some users and all competing automatic solutions are less successful. Copyright © ACM.

Original language	English (US)
Title of host publication	ACM Transactions on Graphics
Publisher	Association for Computing Machinery (ACM)
Pages	1-10
Number of pages	10
DOIs	https://doi.org/10.1145/2601097.2601162
State	Published - Jul 22 2014

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10.1145/2601097.2601162

https://repository.kaust.edu.sa/bitstream/10754/575793/1/2014.SG.Wu.InverseFacadeModeling.pdf

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@inproceedings{83e2f4cc51a44cbcaaf8dff3a4a3aad8,

title = "Inverse procedural modeling of facade layouts",

abstract = "In this paper, we address the following research problem: How can we generate a meaningful split grammar that explains a given facade layout? To evaluate if a grammar is meaningful, we propose a cost function based on the description length and minimize this cost using an approximate dynamic programming framework. Our evaluation indicates that our framework extracts meaningful split grammars that are competitive with those of expert users, while some users and all competing automatic solutions are less successful. Copyright {\textcopyright} ACM.",

author = "Feng Wu and Dongming Yan and Weiming Dong and Xiaopeng Zhang and Peter Wonka",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This research was partially funded by the Visual Computing Center of King Abdullah University of Science and Technology (KAUST), the National Natural Science Foundation of China (no. 61372168, 61172104, 61331018, and 61372184), and the U.S. National Science Foundation (no. 0643822). We thank Yoshihiro Kobayashi for helping with the 3D renderings and Virginia Unkefer for proof-reading.",

year = "2014",

month = jul,

day = "22",

doi = "10.1145/2601097.2601162",

language = "English (US)",

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AU - Wu, Feng

AU - Yan, Dongming

AU - Dong, Weiming

AU - Zhang, Xiaopeng

AU - Wonka, Peter

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: This research was partially funded by the Visual Computing Center of King Abdullah University of Science and Technology (KAUST), the National Natural Science Foundation of China (no. 61372168, 61172104, 61331018, and 61372184), and the U.S. National Science Foundation (no. 0643822). We thank Yoshihiro Kobayashi for helping with the 3D renderings and Virginia Unkefer for proof-reading.

PY - 2014/7/22

Y1 - 2014/7/22

N2 - In this paper, we address the following research problem: How can we generate a meaningful split grammar that explains a given facade layout? To evaluate if a grammar is meaningful, we propose a cost function based on the description length and minimize this cost using an approximate dynamic programming framework. Our evaluation indicates that our framework extracts meaningful split grammars that are competitive with those of expert users, while some users and all competing automatic solutions are less successful. Copyright © ACM.

AB - In this paper, we address the following research problem: How can we generate a meaningful split grammar that explains a given facade layout? To evaluate if a grammar is meaningful, we propose a cost function based on the description length and minimize this cost using an approximate dynamic programming framework. Our evaluation indicates that our framework extracts meaningful split grammars that are competitive with those of expert users, while some users and all competing automatic solutions are less successful. Copyright © ACM.

UR - http://hdl.handle.net/10754/575793

UR - https://youtu.be/Nm7kQMXRoXQ

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M3 - Conference contribution

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PB - Association for Computing Machinery (ACM)

ER -

Inverse procedural modeling of facade layouts

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