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US 2023/0147641 A1Published application
Generating images of object motion using one or more neural networks
AssigneeNVIDIA Corporation
InventorsTing-Chun Wang, Tim Brooks, Ming-Yu Liu, Tero Karras, Jaakko Lehtinen
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Abstract
Apparatuses, systems, and techniques are presented to reconstruct one or more images. In at least one embodiment, one or more neural networks are used to generate one or more images of one or more objects based, at least in part, on input indicating motion of the one or more objects.
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 objects based, at least in part, on input indicating motion of the one or more objects.
A system comprising:
- one or more processors to use one or more neural networks to generate one or more images of one or more objects based, at least in part, on input indicating motion of the one or more objects.
A method comprising:
- using one or more neural networks to generate one or more images of one or more objects based, at least in part, on input indicating motion of the one or more objects.
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 of one or more objects based, at least in part, on input indicating motion of the one or more objects.
An image reconstruction system, comprising:
- one or more processors to use one or more neural networks to generate one or more images of one or more objects based, at least in part, on input indicating motion of the one or more objects;
- and
- memory for storing network parameters for the one or more neural networks.
Dependencies are inferred from the claim text.