Presentation

Building ML Pipelines in Houdini
DescriptionThis presentation shows you how to build supervised ML pipelines in Houdini 21.

We give an overview of many of the ML nodes that are available in Houdini, where special attention is given to nodes and features that have been added with Houdini 21.
These ML nodes are designed to both leverage and enhance Houdini's proceduralism.
Fully automated end-to-end ML pipelines that include data generation, training and inference can be built entirely inside Houdini.

Houdini's ML nodes can be used to perform sub-tasks that are common to a variety of machine learning applications. This can save you a lot of work when you're creating your own machine learning pipeline. Among other things, the ML nodes support example generation, preprocessing, saving & loading data sets, neural-network training, and inference.

We show how the ML nodes were used to build ML applications that are being released as part of Houdini 21. These applications include a volume upresser that can be applied to pyro sims and an improved character deformer.
Event Type
Industry Session
TimeTuesday, 12 August 20251:40pm - 2:40pm PDT
LocationWest Building, Rooms 101-102