ML Terrain content library demo

Model training

This demo is intended to be a full walkthrough of the process from creating an ML model, and using this ML model directly in Houdini. But it is also built with exploration in mind.

Neural Terrain Generate SOP

Inference

Applies a pre-trained machine learning model, stored in an ONNX file, to an input height field to generate terrain features such as erosion or stylistic landscape details. It analyzes the incoming height data and maps it against the learned patterns in the model, producing a transformed terrain that reflects the trained behaviors.