Neural Turtle Graphics is a deep generative model for spatial graphs that iteratively creates city road layouts and performs aerial road parsing.
What it is
Neural Turtle Graphics is a deep generative model designed for spatial graphs, focusing specifically on modeling and generating city road layouts. The system represents road networks as graphs where nodes correspond to control points and edges represent road segments.
Key features
- Iterative generation of nodes and edges conditioned on the current graph
- Style control to mimic road layouts of existing cities
- User-specified partial sketch completion for road layouts
- Integration with CNN image feature extraction for aerial map parsing
- Trained on Open Street Map data for realistic topology
Who it's for
Urban planners, gaming industry developers creating virtual environments, and researchers working on autonomous vehicle testing environments find Neural Turtle Graphics useful for generating and analyzing road networks.
Pricing
Check the official website for current pricing.
Use cases
- Generate city road layouts
- Parse aerial road imagery
- Complete partial road sketches
- Simulate urban environments
FAQ
What data is used to train Neural Turtle Graphics?
Neural Turtle Graphics is trained on Open Street Map data.
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