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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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100%; open Karras T., Aittala M., Laine S., Harkonen E, Hellsten J., Lehtinen J., and Aila T. (2021) Find in CUMINCAD Alias-free generative adversarial networks , Advances in NeurIPS, 34, 2021
67%; open Alani, M. and Al-Kaseem, B. (2021) Find in CUMINCAD Fill in the Blanks: Deep Convolutional Generative Adversarial Networks to Investigate the Virtual Design Space of Historical Islamic Patterns in Proceedings of the 9th ASCAAD Conference , Cairo, Egypt [Virtual Conference], pp. 614-621. Available at: http://papers.cumincad.org/data/works/att/ascaad2021_093.pdf (Accessed 6 March 2022)
67%; open Campo, M. (2021) Find in CUMINCAD Architecture, Language and Ai-language, Attentional Generative Adversarial Networks (attngan) and Architecture Design , Proceedings of the 26th CAADRIA Conference(Vol. 1, pp. 211-22)
67%; open Chan, Eric R., Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, et al (2021) Find in CUMINCAD Efficient Geometry- Aware 3D Generative Adversarial Networks , arXiv
67%; open Del Campo, M (2021) Find in CUMINCAD ARCHITECTURE, LANGUAGE AND AI:Language, Attentional Generative Adversarial Networks (AttnGAN) and Architecture Design , Proc. CAADRIA 2021
67%; open del Campo, M. (2021) Find in CUMINCAD Architecture, Language and AI - Language,Attentional Generative Adversarial Networks (AttnGAN) and Architecture Design , A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 211-220. CUMINCAD. Available at: http://papers.cumincad.org/cgi-bin/works/2015%20+dave=2:/Show?caadria2021_389 (Accessed: 5 January 2022)
67%; open Fedorova, S., (2021) Find in CUMINCAD Generative Adversarial Networks for Urban Block Design , SimAUD 2021: Symposium on Simulation for Architecture and Urban Design
67%; open Fedorova, S. (2021) Find in CUMINCAD Generative adversarial networks for urban block design , SimAUD 2021: A Symposium on Simulation for Architecture and Urban Design, 2021
67%; open Garozzo, R. et al. (2021) Find in CUMINCAD Knowledge-based generative adversarial networks for scene understanding in Cultural Heritage , Journal of Archaeological Science: Reports, 35, p. 102736
67%; open Mostafa A and Al-Kaseem B (2021) Find in CUMINCAD Fill in the blanks: Deep convolutional generative adversarial networks to investigate the virtual design space of historical islamic patterns , 9th ASCAAD Conf Proc 2021: 614–621.
67%; open Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, and Yasutaka Furukawa (2021) Find in CUMINCAD House-GAN++: Generative Adversarial Layout Refinement Networks , arXiv preprintarXiv: 2103.02574
67%; open Nie, Z., Lin, T., Jiang, H. & Kara, L. B. (2021) Find in CUMINCAD Topologygan: Topology optimisation using generative adversarial networks based on physical fields over the initial domain , Journal of Mechanical Design, 143(3), 031715
67%; open Tero Karras, Samuli Laine, and Timo Aila (2021) Find in CUMINCAD A Style-Based Generator Architecture for Generative Adversarial Networks , IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (12): 4217–28
67%; open Ye, X., Du, J. & Ye, Y. (2021) Find in CUMINCAD MasterplanGAN: Facilitating the smart rendering of urban master plans via generative adversarial networks , Environment and Planning B: Urban Analytics and City Science, 1-21. https://doi.org/10.1177/23998083211023516
50%; open Cira C-I, Manso-Callejo M-A, Alcarria R, et al (2021) Find in CUMINCAD Generative learning for postprocessing semantic segmentation ´ predictions: a lightweight conditional generative adversarial network based on pix2pix to improve the extraction of road surface areas 2021 , Land; 10: 79
50%; open Hao Zheng, and Philip F Yuan (2021) Find in CUMINCAD A Generative Architectural and Urban Design Method through Artificial Neural Networks , Building andEnvironment 205 (Nov): 108178
50%; open Hao Zheng, and Philip F. Yuan (2021) Find in CUMINCAD A generative architectural and urban design method through artificial neural networks , Buildingand Environment 205 (Nov): 108178.
50%; open Joyce, S. C., & Nazim, I. (2021) Find in CUMINCAD Image-to-Image Translation with Conditional Adversarial Networks , 39th eCAADe Conference - Towards a new, configurable architecture
50%; open Nauata N, Hosseini S, Chang KH et al (2021) Find in CUMINCAD House-GAN++: Generative adversarial layout refinement network towards intelligent computational agent for professional architects , In15/09/2023 2021 IEEE/CVF conference on computer vision and pattern recognition (CVPR). Nashville, TN, USA (IEEE). Nashville, TN, USA (IEEE). 2021:13627-13636
50%; open Nauata, N., Hosseini, S., Chang, K. H., Chu, H., Cheng, C. Y., & Furukawa, Y. (2021) Find in CUMINCAD House-GAN++: Generative adversarial layout refinement network towards intelligent computational agent for professional architects , 2021 IEEE/CVF conference on computer vision and pattern recognition (CVPR). Nashville, TN, USA (IEEE). 2021: 13627-13636. In CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 13627-13636). https://doi.org/10.1109/CVPR46437.2021.01342

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