TY - GEN
T1 - Interactive and Scalable Layout Synthesis with Design Templates
AU - Farooki, Hameedullah
AU - Ataer-Cansizoglu, Esra
AU - Choi, Jae Woo
AU - Weiss, Tomer
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - The design of virtual and real spaces is a complex task, as is evidenced by the large number of professionals offering their services. Researchers proposed multiple computational methods that aim to alleviate such complexity. Unfortunately, most methods for layout synthesis are not directly applicable to non-professional consumers, because of usability challenges in terms of computation, user input, and scalability. Hence, we propose a novel layout synthesis system based on design templates. Design templates define geometrical rules for creating rooms, according to the room type and furniture function. With such templates, our system allows a customizable user experience, and is computationally fast while remaining scalable. We demonstrate our method with several example layouts, focusing on both small and large rooms.
AB - The design of virtual and real spaces is a complex task, as is evidenced by the large number of professionals offering their services. Researchers proposed multiple computational methods that aim to alleviate such complexity. Unfortunately, most methods for layout synthesis are not directly applicable to non-professional consumers, because of usability challenges in terms of computation, user input, and scalability. Hence, we propose a novel layout synthesis system based on design templates. Design templates define geometrical rules for creating rooms, according to the room type and furniture function. With such templates, our system allows a customizable user experience, and is computationally fast while remaining scalable. We demonstrate our method with several example layouts, focusing on both small and large rooms.
KW - 3D scene modeling
KW - Automatic content creation
KW - Interactive layout synthesis
UR - http://www.scopus.com/inward/record.url?scp=85100058344&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100058344&partnerID=8YFLogxK
U2 - 10.1109/AIVR50618.2020.00049
DO - 10.1109/AIVR50618.2020.00049
M3 - Conference contribution
AN - SCOPUS:85100058344
T3 - Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
SP - 235
EP - 238
BT - Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020
Y2 - 14 December 2020 through 18 December 2020
ER -