Multiple Layout Design Generation via a GAN-Based Method with Conditional Convolution and Attention-Reference-Cited by-同舟云学术

Multiple Layout Design Generation via a GAN-Based Method with Conditional Convolution and Attention

Published:2023-09-01 Issue:9 Volume:E106.D Page:1615-1619
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

ZHU Xing¹,LIU Yuxuan²,LIANG Lingyu¹,WANG Tao³,LI Zuoyong⁴,DENG Qiaoming⁵,LIU Yubo⁵

Affiliation:

1. School of Electronic and Information Engineering, South China University of Technology

2. Waseda University

3. The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions, Wuyi University

4. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University

5. School of Architecture, South China University of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E106.D/9/E106.D_2022EDL8106/_pdf

Reference17 articles.

1. [1] Y. Liu, Y. Lai, J. Chen, L. Liang, and Q. Deng, “SCUT-AutoALP: A diverse benchmark dataset for automatic architectural layout parsing,” IEICE Trans. on Information and Systems, vol.E103-D, no.12, pp.2725-2729, 2020. 10.1587/transinf.2020edl8076

2. [2] W. Wu, X.M. Fu, R. Tang, Y. Wang, Y.H. Qi, and L. Liu, “Data-driven interior plan generation for residential buildings,” ACM Trans. Graph., vol.38, no.6, pp.1-12, 2019. 10.1145/3355089.3356556

3. [3] R. Hu, Z. Huang, Y. Tang, O. Van Kaick, H. Zhang, and H. Huang, “Graph2plan: learning floorplan generation from layout graphs,” ACM Transactions on Graphics, vol.39, July 2020. 10.1145/3386569.3392391

4. [4] N. Nauata, S. Hosseini, K.-H. Chang, H. Chu, C.-Y. Cheng, and Y. Furukawa, “House-GAN++: Generative adversarial layout refinement network towards intelligent computational agent for professional architects,” Proc. of CVPR, pp.13632-13641, 2021. 10.1109/cvpr46437.2021.01342

5. [5] F. He, Y. Huang, and H. Wang, “iPLAN: Interactive and procedural layout planning,” Proc. of CVPR, pp.7793-7802, 2022. 10.1109/cvpr52688.2022.00764