Attribute-aware image generation using neural networks
AssigneeNVIDIA Corporation
InventorsWeili Nie, Tero Tapani Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Anima Anandkumar
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Abstract
Apparatuses, systems, and techniques used to train one or more neural networks to generate images comprising one or more features. In at least one embodiment, one or more neural networks are trained to determine one or more styles for an input image and then generate features associated with said one or more styles in an output image.
Claims29
A processor comprising:
- one or more circuits to use one or more neural networks to generate one or more images based, at least in part, on one or more attributes of one or more objects in an image used to train the one or more neural networks.
A system comprising:
- one or more processors to use one or more neural networks to generate one or more images based, at least in part, on one or more attributes of one or more objects in an image used to train the one or more neural networks.
A machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause the one or more processors to at least:
- use one or more neural networks to generate one or more images based, at least in part, on one or more attributes of one or more objects in an image used to train the one or more neural networks
A method comprising:
- using one or more neural networks to generate one or more images based, at least in part, on one or more attributes of one or more objects in an image used to train the one or more neural networks
Dependencies are inferred from the claim text.