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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	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 , arXiv:2003.06988 [cs]

	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

	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. 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 , 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 , European Conference on Computer Vision (ECCV). pp. 162-177. Available at: https://doi.org/10.1007/978-3-030-58452-8

	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., B. Bascle, M. Appel, and E. Cubillo (1999) Scene Augmentation via the Fusion of Industrial Drawings and Uncalibrated Images with a View to Markerless Calibration , Proceedings of the 2nd International Workshop on Augmented Reality (IWAR 99), IEEE CS Press, Los Alamitos, California, p. 125-133

	Navab, N., Bani-Kashemi, A. and Mitschke, M, (1999) Merging visible and invisible: Two Camera-Augmented Mobile C-arm (CAMC) applications , Proceedings - 2nd IEEE and ACM International Workshop on Augmented Reality, IWAR 1999, pp. 134-141

	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

	Navodita Bhatnagar, ed (2019) Bio-Based Plastics: Materials and Applications , N.p.: Arcler Education Incorporated

	Nawari, N (2019) A Generalized Adaptive Framework (GAF) for Automating Code Compliance Checking , Buildings, avail. at: www.researchgate.net, (Access 20.9.21)

	Nawari, N. O., & Ravindran, S. (2019) Blockchain and the built environment: Potentials and limitations , Journal of Building Engineering Journal, 25(June)

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