Generating Urban Road Networks with Conditional Diffusion Models
Xiaoyan Gu,
Mengmeng Zhang,
Jinxin Lyu
et al.
Abstract:The auto-generation of urban roads can greatly improve efficiency and productivity in urban planning and designing. However, it has also raised concerns amongst researchers over the past decade. In this paper, we present an image-based urban road network generation framework using conditional diffusion models. We first trained a diffusion model capable of generating road images with similar characteristics to the ground truth using four context factors. Then, we used the trained model as the generator to synth… Show more
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