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Generative AI offers new opportunities for automating urban planning by creating site-specific urban layouts and enabling flexible design exploration.
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Florinel-Alin Croitoru, Vlad Hondru, Radu Ionescu and Mubarak Shah · 2023
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Divya Saxena and Jiannong Cao · 2021
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“Improved Denoising Diffusion Probabilistic Models”
Alexander Nichol and Prafulla Dhariwal · 2021
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“Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends”
Rowan. Hughes, Liming Zhu and Tomasz Bednarz · 2021
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“Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities”
Carlos Moreno et al · 2021
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Xinyue Ye, Jiaxin Du and Yu Ye · 2022
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“High-Resolution Image Synthesis With Latent Diffusion Models”, 2022, pp. 10684–10695
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“Adding Conditional Control to Text-to-Image Diffusion Models”, 2023, pp. 3836–3847
Lvmin Zhang, Anyi Rao and Maneesh Agrawala · 2023
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Chulwoong Park, Wonjun No, Junyong Choi and Youngchul Kim · 2023
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Juntao Zhang, Yuehuai Liu, Yu-Wing Tai and Chi-Keung Tang · 2024
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Moonytunes · 2024
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