Generative AI-Based Prediction of Future Urban Layout Patches with MMCN (IMAGE)
Caption
Illustration of how MMCN predicts future urban layout patches. The model receives multiple inputs, including neighboring urban patches, historical building layouts, density maps, height maps, and road networks, which are used as prompts and control conditions for a diffusion-based model. Using these inputs, the model can generate a layout for a target region and stitches the generated patch together with surrounding areas to produce a spatially consistent urban map.
Credit
Associate Professor Haoran Xie from JAIST
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Credit must be given to the creator.
License
Original content