A four-step implementation strategy for digital landscape previews
In response to the pain point that the landscape is not yet completed during the display period of the property, developers can build an AI-enhanced display system:
- Scene reconstruction: Take photos of the site as it is, and select the type of space to be developed such as "community park" or "home garden".
- Seasonal simulation: Add descriptors such as "fall foliage" and "winter snow" to show the effects of all-season landscapes.
- Facilities pre-built: Intelligently add future planned fitness area/petting zoo amenities to the renderings
- VR articulation: Import AI-generated maps into Unity and other engines to create VR roaming and enhance customer immersion.
Note: It is recommended to use the precise mode to keep the true proportion of the building elevation, and at the same time to strengthen the visual effect with eye-catching elements such as tropical plants. Storing the generated drawings of different development stages, a landscape growth timeline can be created as a sales prop.
This answer comes from the articleAI Landscape: Using AI to Generate Landscape Design SolutionsThe
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