Evangelou, IordanisVitsas, NickPapaioannou, GeorgiosGkaravelis, AnastasiosHu, RuizhenCharalambous, Panayiotis2024-04-302024-04-302024978-3-03868-237-01017-4656https://doi.org/10.2312/egs.20241031https://diglib.eg.org/handle/10.2312/egs20241031The design of plausible and effective street lighting configurations for arbitrary urban sites should attain predetermined illuminance levels and adhere to specific layout intentions and functional requirements. This task can be time consuming, even for automated solutions, since there exists an one-to-many mapping between illumination goals and lighting options. In this work, we propose a generative approach for this task, based on an adversarial optimisation scheme. Our proposed method effectively overcomes these task-specific limitations by providing a range of viable solutions that adhere to the input constraints and can be generated within an interactive design life cycle.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Graphics systems and interfaces; Artificial intelligenceComputing methodologies → Graphics systems and interfacesArtificial intelligence10.2312/egs.202410314 pages