On this page |
ML building blocks ¶
ML Train Volume Upres recipe |
Train your own pyro upres model. A trained model can be used to make a lowres pyro sim look more like a highres pyro sim, without actually running a highres pyro sim. |
Crop tiles from a given volume at one or multiple provided point positions. This is useful for creating training data from 3D volumes. This node is part of the ML Train Volume Upres recipe. |
|
Run an ONNX model on a volume without creating any seams by splitting it up into tiles. |
|
Run an ONNX model that was trained using the new ML Train Volume Upres recipe. |
ML application ¶
These ML-related nodes incorporate ML in their process either through training data or during inference. They are not intended as building blocks for ML pipelines.
|
Updated to use |
Takes a point cloud as input and reconstructs a VDB surface from it. It contains multiple specialized pretrained models to yield specific looks depending on the material being surfaced. In general, this node should allow users to reconstruct smooth surfaces while preserving the sharp, high frequency, details described by the point cloud. |
|
Has options to use Neural Model. |