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US 2022/0012858 A1Published application
Image generation using one or more neural networks
AssigneeNVIDIA Corporation
InventorsSiddhant Pardeshi, Pranit P. Kothari, Vinayak Vilas Gaikwad
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Abstract
Apparatuses, systems, and techniques are presented to generate image or video content. In at least one embodiment, one or more neural networks are used to generate one or more time-lapsed images of a second object based, at least in part, on one or more images of a first object.
Claims30
A processor, comprising:
- one or more circuits to use one or more neural networks to generate one or more time-lapsed images of a second object based, at least in part, on one or more images of a first object.
A system comprising:
- one or more processors to use one or more neural networks to generate one or more time-lapsed images of a second object based, at least in part, on one or more images of a first object.
A method comprising:
- using one or more neural networks to generate one or more time-lapsed images of a second object based, at least in part, on one or more images of a first object.
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 time-lapsed images of a second object based, at least in part, on one or more images of a first object.
An image generation system, comprising:
- one or more processors to use one or more neural networks to generate one or more time-lapsed images of a second object based, at least in part, on one or more images of a first object;
- and
- memory for storing network parameters for the one or more neural networks.
Dependencies are inferred from the claim text.