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. 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 , 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

	Nayak, Mishak. (2018) Deep Convolutional Generative Adversarial Networks (DCGANs) , Data Driven Investor. https://medium.com/ datadriveninvestor/deep-convolutional-generative-adversarial- networks-dcgans-3176238b5a3d

	Paganini, M, de Oliveira, L and Nachman, B (2018) CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks , Physical Review D, 97(1), p. 014021

	Park, K., Ergan, S. and Feng, C. (2024) Quality assessment of residential layout designs generated by relational Generative Adversarial Networks (GANs) , Automation in Construction, 158, p. 105243

	Park, K., Ergan, S., & Feng, C. (2024) Quality assessment of residential layout designs generated by relational Generative Adversarial Networks (GANs) , Automation in Construction, 158, 105243

	Pfau, D and Vinyals, O (2016) Connecting Generative Adversarial Networks and Actor-Critic Methods , arXiv:1610.01945 [cs, stat]

	Pouliou, P., Horvath, A. S., and Palamas, G. (2023) Speculative hybrids: Investigating the generation of conceptual architectural forms through the use of 3D generative adversarial networks , International Journal of Architectural Computing, 14780771231168229

	Radford A, Metz L and Chintala S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks, , http://arxiv.org/pdf/1511.06434v2 (2015).

	Radford A, Metz L and Chintala S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks, 2016 , ArXiv:1511.06434 [Cs] http://arxiv.org/abs/1511.06434

	Radford, A, Metz, L and Chintala, S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks , arXiv preprint arXiv:1511.06434, 1, pp. 1-5

	Radford, A, Metz, L and Chintala, S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks. , Conference on Learning Representations (ICLR)

	Radford, A, Metz, L and Chintala, S (2016) Unsupervised representation learning with deep convolutional generative adversarial networks , arXiv preprint, arXiv:1511.06434

	Radford, A., Metz, L. and Chintala, S. (2016) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , ICLR

	Radford, A., Metz, L., & Chintala, S. (2016) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , ArXiv.org. https://arxiv.org/abs/1511.06434v2

	Radford, Alec, Luke Metz, and Soumith Chintala (2015) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , ICLR (International Conference on Learning Representations). arXiv:1511.06434

	Radford, Alec, Luke Metz, and Soumith Chintala (2015) Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , arXiv preprint. arXiv:1511.06434

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