In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global urban land-use ...
Jan 8, 2018 · In this study we propose a new method to simulate hyper- realistic urban patterns using Generative Adversarial Net- works trained with a global ...
These GANs can generate synthetic urban universes that mimic global urban patterns, and quantifying landscape structures of these GAN-generated new cities using ...
This work proposes a GAN framework with geographical knowledge, namely Metropolitan GAN (MetroGAN), for urban morphology simulation, which incorporates a ...
With the help of crowdsourced data and generative adversarial networks (GAN), a generation model was trained to provide colorful rendering of master plans ...
We take a first step in addressing this challenge by developing CityGAN, a conditional generative adversarial network model for simulating realistic urban forms ...
Jan 8, 2018 · In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global ...
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Feb 7, 2024 · This paper proposes a new computational urban design approach named UDGAN, integrating generative adversarial networks (GANs) and multi-objective optimization ...
Aug 14, 2022 · Here, we propose a GAN framework with geographical knowledge, namely Metropolitan GAN (MetroGAN), for urban morphology simulation.
May 4, 2021 · The topic investigated in this paper is the application of Generative Adversarial Networks to the design of an urban block.