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US 12,711,685 B1Granted
Neural network motion controller
AssigneeNVIDIA Corporation
InventorsTingwu Wang, Yun Rong Guo, Maria Shugrina, Sanja Fidler
Life of this patent
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Abstract
Apparatuses, systems, and techniques to animate objects in computer-generated graphics. In at least one embodiment, one or more neural networks are trained to identify one or more forces to be applied to one or more objects based, at least in part, on training data corresponding to two or more aspects of motion of the one or more objects.
Claims20
A processor, comprising:
- one or more circuits to cause one or more neural networks to be trained to identify one or more forces to be applied to one or more objects based, at least in part, on training data sampled according to a tree structure organizing the training data by general classes of motion at respective nodes of a first level of the tree structure and by specialized classes of motion at nodes of a second level of the tree structure branching from respective nodes of the first level.
A system, comprising:
- one or more processors to train one or more neural networks to identify one or more forces to be applied to one or more objects based, at least in part, on training data sampled according to a tree structure organizing the training data by general classes of motion at respective nodes of a first level of the tree structure and by specialized classes of motion at nodes of a second level of the tree structure branching from respective nodes of the first level.
A method, comprising:
- training one or more neural networks to identify one or more forces to be applied to one or more objects based, at least in part, on training data sampled according to a tree structure organizing the training data by general classes of motion at respective nodes of a first level of the tree structure and by specialized classes of motion at nodes of a second level of the tree structure branching from respective nodes of the first level.
Dependencies are inferred from the claim text.