TECHNIQUES FOR TRAINING MACHINE LEARNING MODELS USING SYNTHETICALLY GENERATED DATA

Abstract: one embodiment of a method for generating data to train a machine learning model includes generating a prompt based on a template and information associated with an object, generating, via a first machine learning model and based on the prompt, a text description of at least one of a texture or a geometry for the object, generating, via a second machine learning model and based on the text description, the at least one of the texture or the geometry for the object, and performing one or more rendering operations based on the at least one of the texture or the geometry for the object to generate one or more rendered images.

Inventor(s): Bowen WEN, Stanley BIRCHFIELD, Wei YANG, Jan KAUTZ

CPC Classification: G06N20/00 (Machine learning)

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