ML Deform ¶
This set of nodes allow a character skin to be deformed using quasistatic tissue simulation. Poses can be generated in parallel because there are no time dependencies between the simulations.
Name |
Type |
Description |
|---|---|---|
Data Set Processing |
Deform organic tissue repeatedly using skeleton poses. You can use these nodes to generate training data for an ML deformer and other applications outside of ML. |
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Model training |
The ML Train Deformer recipe creates a setup with two entities for which ML Deformer models can be trained. |
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Inference |
Uses a trained ML model to deform the skin of a character. It uses the same inputs as |
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Inference |
Allows a model trained using the ML Train Deformer recipe to be used in APEX rig. |
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Inference |
Adds shapes to an agent and configures them to use a trained ML model which deforms the skin of a character. Internally, the ML model predicts weights to combine the residual blend shapes to apply a correction to the rest skin geometry. |