Research output per year
Research output per year
Search results
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2023
Generating conceptual architectural 3D geometries with denoising diffusion models
Sebestyen, A., Özdenizci, O., Legenstein, R. & Hirschberg, U. L., 2023, eCAADe 2023 - Digital Design Reconsidered: Proceedings of the 41st eCAADe Conference, 18-23 September, Graz University of Technology. Dokonal, W., Hirschberg, U. & Wurzer, G. (eds.). Vol. 2. p. 451-460Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Generating Conceptual Architectural 3D Geometries with Denoising Diffusion Models: Showcasing a deep learning based 3D generative prototype
Sebestyen, A., Özdenizci, O., Legenstein, R. & Hirschberg, U., 2023, eCAADe 2023 - Digital Design Reconsidered: Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe. Dokonal, W., Hirschberg, U., Wurzer, G. & Wurzer, G. (eds.). eCAADe (Education and Research in Computer Aided Architectural Design in Europe), Vol. 2. p. 451-460 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
Using deep learning to generate design spaces for architecture
Sebestyen, A., Hirschberg, U. L. & Rasoulzadeh, S., Jun 2023, In: International Journal of Architectural Computing. 21, 2, p. 337-357 21 p.Research output: Contribution to journal › Article › peer-review
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2022
Isotype
Sebestyen, A., 2022, Critical Terms for Architecture. Gethmann, D. (ed.). Institut für Architekturtheorie, Kunst- und Kulturwissenschaften TU Graz, p. 16 - 19Research output: Chapter in Book/Report/Conference proceeding › Chapter
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2021
MACHINE LEARNING FOR ARCHITECTS AND DESIGNERS: Implementing Machine Learning into the Digital Design Process in Order to Speed Up Work Time within Parametric Design Workflows and Exploring Methods of New Workflow and Design Output Creation
Sebestyen, A., Feb 2021, Divergence in Architectural Research: Proceeding Book of ConCave Ph.D. Symposium Georgia Institute of Technology. Georgia TechResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Towards Abductive Reasoning-Based ComputationalDesign Tools: Using Machine Learning as a way to explore the combined design spaces of multiple parametric models
Sebestyen, A., Rock, J. & Hirschberg, U. L., 2021, eCAADe 2021: Torwards New, Configurable Architecture. Stojaković, V. & Tepavčević, T. (eds.). Vol. 1. p. 141 - 150Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
2020
Machine Learning Methods in Energy Simulations for Architects and Designers: The implementation of supervised machine learning in the context of the computational design process
Sebestyen, A. & Tyc, J., 2020, ECAADE 2020: Anthropologic Architecture and Fabrication in the cognitive age. Werner, L. C. & Koering, D. (eds.). Vol. 1. p. 613 - 622Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access -
2019
Discrete vs. Discretized Growth: Discretized Fabrication of Geometries Generated with Cellular Growth Simulations
Sebestyen, A., Klemmt, C., Pantic, I. & Gheorghe, A., 2019, ACADIA 2019: Ubiquity and Autonomy: Paper Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA). ACADIA, Association for Computer Aided Design in Architecture, p. 542 - 552Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Loops in Grasshopper
Sebestyen, A., 2019, Bricks are Landing: algorithmic design of a brick pavilion. Eigenverlag TU Wien, p. 15 - 24Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access