Physics-based image generation using one or more neural networks
AssigneeNVIDIA Corporation
InventorsTingwu Wang, Yunrong Guo, Cheng Xie, Xue Bin Peng, Sanja Fidler
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Abstract
Apparatuses, systems, and techniques are presented to generate images representing realistic motion or activity. In at least one embodiment, one or more neural networks are used to generate one or more images of one or more characters performing one or more actions based, at least in part, upon one or more physical capabilities of the one or more characters.
Claims30
A processor, comprising:
- one or more circuits to use one or more neural networks to generate one or more images of one or more characters performing one or more actions based, at least in part, upon one or more physical capabilities of the one or more characters.
A system comprising:
- one or more processors to generate one or more images of one or more characters performing one or more actions based, at least in part, upon one or more physical capabilities of the one or more characters.
A method comprising:
- generating one or more images of one or more characters performing one or more actions based, at least in part, upon one or more physical capabilities of the one or more characters.
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:
- generate one or more images of one or more characters performing one or more actions based, at least in part, upon one or more physical capabilities of the one or more characters.
An image generation system, comprising:
- one or more processors to generate one or more images of one or more characters performing one or more actions based, at least in part, upon one or more physical capabilities of the one or more characters;
- and
- memory for storing network parameters for the one or more neural networks.
Dependencies are inferred from the claim text.