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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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50%; open Karras, T., Laine, S., & Aila, T. (2020) Find in CUMINCAD A style-based generator architecture for generative adversarial networks , IEEE Transactions on Pattern Analysis and Machine Intelligence, PP, 1-1. https://doi.org/10.1109/TPAMI.2020.2970919
50%; open Karras, T., Miika Aittala, Janne Hellsten, Laine, S., Lehtinen, J., & Timo Aila. (2020) Find in CUMINCAD Training generative adversarial networks with limited data , CoRR, abs/2006.06676. https://arxiv.org/abs/2006.06676
50%; open Kniaz, V. V., Fabio Remondino, and V. A. Knyaz (2019) Find in CUMINCAD Generative Adversarial Networks for Single Photo 3D Reconstruction , ISPRS—International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 42W9: 403. https://doi.org/10.5194/isprs-archives-XLII-2-W9-403-2019
50%; open Li, J., Guo, F. and Chen, H. (2024) Find in CUMINCAD A study on urban block design strategies for improving pedestrian-level wind conditions: CFD-based optimization and generative adversarial networks , Energy and Buildings, 304, p. 113863
50%; open Liu, X., Kong, X., Liu, L., & Chiang, K. (2018) Find in CUMINCAD Treegan: Syntax-aware Sequence Generation with Generative Adversarial Networks , 218 IEEE International Conference on Data Mining (ICDM) (pp.114-1145)
50%; open Ma, Shuang, Jianlong Fu, Chang Wen Chen, and Tao Mei (2018) Find in CUMINCAD DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials , http://arxiv.org/abs/1802.06454
50%; open Mathias Bernhard, Reza Kakooee, Patrick Bedarf, and Benjamin Dillenburger (2020) Find in CUMINCAD Topology Optimization with Generative Adversarial Networks , Proceedings of Advances in Architectural Geometry 2020. Paris: Ecole des Ponts ParisTech. 208–229
50%; open Mokhtar S, Sojka A and Davila CC. (2020) Find in CUMINCAD Conditional generative adversarial networks for pedestrian wind flow approximation , Chronis A and Wurtzner G (eds) Proceedings of SimAUD, 25–27 May 2020, Vienna, Austria: Society for Modeling & Simulation International (SCS)
50%; open Mokhtar S., Sojka A., Cerezo Davila C. (2020) Find in CUMINCAD Conditional Generative Adversarial Networks for Pedestrian Wind Flow Approximation , Proceedings of SimAUD 2020, pp. 463-470
50%; open Mokhtar, S, Sojka, A and Cerezo Davila, C (2020) Find in CUMINCAD Conditional Generative Adversarial Networks for Pedestrian Wind Flow Approximation , Proceedings of SimAUD 2020, Vienna
50%; open Mokhtar, S., Sojka, A. and Davila, C.C. (2020) Find in CUMINCAD Conditional Generative Adversarial Networks for Pedestrian Wind Flow Approximation , Proceedings of SimAUD 2020
50%; open Mokhtar, S., Sojka, A. and Davila, C.C. (2020) Find in CUMINCAD Conditional generative adversarial networks for pedestrian wind flow approximation , Proceedings of SimAUD 2020
50%; open Mokhtar, S., Sojka, A., & Davila, C. C. (n.d.) Find in CUMINCAD Conditional Generative Adversarial Networks for Pedestrian Wind Flow Approximation , 11th annual Symposium on Simulation for Architecture and Urban Design (SimAUD)
50%; open Mokhtar, S., Sojka, A., Davila, & C. C. (2020) Find in CUMINCAD Conditional Generative Adversarial Networks for Pedestrian Wind Flow Approximation , Proceedings of the 11th Annual Symposium on Simulation for Architecture and Urban Design (Vol. 58, pp. 1-8). San Diego, USA; Society for Computer Simulation International
50%; open Mueller, L.M., Andriotis, C., Turrin, M. (2024) Find in CUMINCAD Using Generative Adversarial Networks to Create 3D Building Geometries: 3DBuildingGAN , eCAADe 2024
50%; open Nauata N, Chang K, Cheng C, et al (2020) Find in CUMINCAD House-gan: Relational generative adversarial networks for graph-constrained house layout generation , Eur Conf Computer Vis 2020: 162–177.
50%; open Nauata, N, Chang, KH, Cheng, CY, Mori, G and Furukawa, Y (2020) Find in CUMINCAD House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation , arXiv:2003.06988 [cs]
50%; open Nauata, N, Chang, KH, Cheng, CY, Mori, G and Furukawa, Y (2020) Find in CUMINCAD House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation , Computer Vision - ECCV 2020 Lecture Notes in Computer Science, p. 162-177
50%; open Nauata, N, K. Chang, C. Chin-Yi, G. Mori, and Y. Furukawa (2020) Find in CUMINCAD House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation , European Conference on Computer Vision. arXiv preprint. arXiv:2003.06988
50%; open Nauata, N., Chang, K. H., Cheng, C. Y., Mori, G., & Furukawa, Y. (2020) Find in CUMINCAD 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

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