Cumincad : CUMINCAD References : Search Results

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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	Nathan Miller. (2009) Parametric Strategies in Civic Architecture Design , ACADIA 09: reForm( ) - Building a Better Tomorrow [Proceedings of the 29th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-9842705-0-7] Chicago (Illinois) 22-25 October, 2009, pp. 144-15

	Nauata N, Chang K, Cheng C, et al (2020) House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Eur Conf Computer Vis 2020: 162–177.

	Nauata N, Hosseini S, Chang KH et al (2021) 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

	Nauata, N, Chang, KH, Cheng, CY, Mori, G and Furukawa, Y (2020) House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation , Computer Vision - ECCV 2020 Lecture Notes in Computer Science, p. 162-177

	Nauata, N, K. Chang, C. Chin-Yi, G. Mori, and Y. Furukawa (2020) House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation , European Conference on Computer Vision. arXiv preprint. arXiv:2003.06988

	Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., & Furukawa, Y. (2020) House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I 16 (pp. 162-177). Springer International Publishing. https://doi.org/10.1007/978-3-030-58452-8_10

	Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., & Furukawa, Y. (2020) House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I 16 (pp. 162-177). Springer International Publishing

	Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., & Furukawa, Y. (2020) House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I 16 (pp. 162-177). Springer International Publishing

	Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., Furukawa, Y. (2020) House-gan: Relational generative adversarial networks for graph-constrained house layout generation , European Conference on Computer Vision (ECCV). pp. 162-177. Available at: https://doi.org/10.1007/978-3-030-58452-8

	Nauata, N., Chang, K.-H., Cheng, C.-Y., Mori, G. & Furukawa, Y. (2020) House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation , A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Proceedings of the European Conference on Computer Vision (ECCV) (pp. 162–177). Springer International Publishing. https://doi.org/10.1007/978-3-030-58452-8_10

	Nauata, N., Hosseini, S., Chang, K. H., Chu, H., Cheng, C. Y., & Furukawa, Y. (2021) 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

	Nauata, N., Hosseini, S., Chang, K.-H., Chu, H., Cheng, C.-Y. & Furukawa, Y. (2021) House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects , Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 13627–13636). https://doi.org/10.1109/CVPR46437.2021.01342

	Navab, N., Genc, Y. and Appel, M. (2000) Lines in one orthographic and two perspective views , Proceedings of the IEEE Int’l. Conf. on Computer Vision & Pattern Recognition, CVPR 2000; 607-614, PDF-File: IEEE Computing Society Press

	Navab, N., Zhang, X., Kumar, V. and Bascle, B. (2000) Computer Assisted Localization and the Best AR View in IndustrialEnvironments , Proceedings of ISAR, eds. G. Klinker and R. Behringer, 3-11, Munich: IEEE Computer Society

	Navarro, F, Serón, FJ and Gutierrez, D (2011) Motion Blur Rendering: State of the Art , Computer Graphics Forum, 30(1), pp. 3-26

	Navinchanda, D., Marks, D.H. (1987) Design exploration through constraints relaxation , Expert Systems in Computer-aided Design, Preprints of IFIP Working conference, Australia 16-20 February 1987, Amsterdam

	Naya, F. et al. (2008) Sketch-Based Interfaces for Parametric Modelling , Pavlidis, I., ed., Human Computer Interaction, InTech, 2008, 44-55

	Naya, F., Contero, M., Aleixos, N. & Company, P. (2007) ParSketch: a sketch-based interface for a 2D parametric geometry editor , Proceedings of the 12th international conference on Human-computer interaction : interaction platforms and techniques (Beijing, China). Springer-Verlag. 115-124

	Naz A, Kopper R, McMahan RP, et al. (2017) Emotional qualities of VR space , 2017 IEEE virtual reality (VR), Los Angeles, CA, pp. 3–11. Los Alamitos, CA: IEEE Computer Society

	Nealen, A., Muller, M., Keiser, R., Boxerman, E., Carlson, M. (2006) Physically Based Deformable Models in Computer Graphics , Computer graphics Forum, 25(4), 809-836

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